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REVIEW article

Front. Mol. Biosci., 10 February 2023
Sec. Molecular Diagnostics and Therapeutics
This article is part of the Research Topic Chronic Liver Disease: New Targets and New Mechanisms, volume II View all 7 articles

The contradictory roles of macrophages in non-alcoholic fatty liver disease and primary liver cancer—Challenges and opportunities

Marlene Sophia Kohlhepp&#x;Marlene Sophia KohlheppHanyang Liu&#x;Hanyang LiuFrank Tacke&#x;Frank TackeAdrien Guillot
&#x;Adrien Guillot*
  • Department of Hepatology and Gastroenterology, Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum and Campus Charité Mitte, Berlin, Germany

Chronic liver diseases from varying etiologies generally lead to liver fibrosis and cirrhosis. Among them, non-alcoholic fatty liver disease (NAFLD) affects roughly one-quarter of the world population, thus representing a major and increasing public health burden. Chronic hepatocyte injury, inflammation (non-alcoholic steatohepatitis, NASH) and liver fibrosis are recognized soils for primary liver cancer, particularly hepatocellular carcinoma (HCC), being the third most common cause for cancer-related deaths worldwide. Despite recent advances in liver disease understanding, therapeutic options on pre-malignant and malignant stages remain limited. Thus, there is an urgent need to identify targetable liver disease-driving mechanisms for the development of novel therapeutics. Monocytes and macrophages comprise a central, yet versatile component of the inflammatory response, fueling chronic liver disease initiation and progression. Recent proteomic and transcriptomic studies performed at singular cell levels revealed a previously overlooked diversity of macrophage subpopulations and functions. Indeed, liver macrophages that encompass liver resident macrophages (also named Kupffer cells) and monocyte-derived macrophages, can acquire a variety of phenotypes depending on microenvironmental cues, and thus exert manifold and sometimes contradictory functions. Those functions range from modulating and exacerbating tissue inflammation to promoting and exaggerating tissue repair mechanisms (i.e., parenchymal regeneration, cancer cell proliferation, angiogenesis, fibrosis). Due to these central functions, liver macrophages represent an attractive target for the treatment of liver diseases. In this review, we discuss the multifaceted and contrary roles of macrophages in chronic liver diseases, with a particular focus on NAFLD/NASH and HCC. Moreover, we discuss potential therapeutic approaches targeting liver macrophages.

1 Introduction

The liver is a vital organ with essential metabolic and immunological functions. Located at the crossroads between the systemic and the gut-derived blood circulation, it represents a privileged site for multifactorial inter-organ interactions. Furthermore, and due to its particular histological features, the liver is an organ with intense cell-cell interactions. A typical multifactorial condition is non-alcoholic fatty liver disease (NAFLD). (Peiseler et al., 2022) NAFLD is defined by hepatic steatosis (accumulation of fat in hepatocytes) independent from alcohol consumption or other medical conditions, it may progress to non-alcoholic steatohepatitis (NASH, incidence 2%–5% in the general population) and liver cirrhosis. Due to the global increase of obesity and metabolism-related diseases, NAFLD/NASH is expected to become the prime risk factor for hepatocellular carcinoma (HCC). (Ioannou, 2021; Riazi et al., 2022) Primary liver cancers are the third leading cause of cancer-related death worldwide despite only ranking as the sixth most frequently diagnosed cancer overall. (Llovet et al., 2021; Sung et al., 2021) Reasons for the high mortality are that liver cancer is often diagnosed at an advanced stage when resection or transplantation, the only curative approaches, are not options anymore. HCC is the most prevalent form of primary liver cancer and predominantly develops in fibrotic or cirrhotic livers in a setting of chronic inflammation. (Forner et al., 2012) A recent study predicted that the incidence of liver cancer will increase by 55.0% between 2020 and 2040, with a predicted 1.3 million deaths from liver cancer in 2040 (+56.4% compared to 2020) globally. (Rumgay et al., 2022a) The main reason for the expected increased incidence of HCC is the NAFLD/NASH epidemic, urging for a better understanding of the underlying mechanisms of hepatocarcinogenesis in this metabolic and inflammatory condition. (Riazi et al., 2022) Noteworthy, and mainly due to unhealthy life habits, about one-quarter of the world population presents varying degrees of NAFLD. Despite recent advances in liver disease understanding, therapeutic options for NAFLD patients remain limited and there is currently no effective therapeutic option for HCC. (Llovet et al., 2021) Thus, there is an urgent need to identify targetable liver disease-driving mechanisms for the development of novel therapeutics.

The liver may to some extent be regarded as an immunological organ, as it serves as the primary gateway for gut-derived (food- or microbiota-derived) antigens and is densely populated with immune cells, most notably myeloid cells in forms of liver resident macrophages during homeostasis, also named Kupffer cells (KCs). It is important to point out that KCs roughly represent 15% of total liver cells, pointing towards their central contributions to organ functions. (Lopez et al., 2011) Nonetheless, the remarkable diversity of liver myeloid cells was previously overlooked, both during homeostasis and (pre-) malignant liver diseases. Indeed, recent studies using multiplexed proteomic or transcriptomic studies highlighted the heterogeneity of the macrophage compartment, as exemplarily pointed out by Mulder et al. as part of the “monocyte and macrophage universe” (MoMacs-verse). (Mulder et al., 2021) Upon acute and chronic liver diseases, and this is particularly true in NAFLD/NASH, the “liver macrophage” compartment undergoes drastic changes both in terms of cellular origin, and in terms of phenotypic activation. Those changes primarily correspond to protective mechanisms against, for instance, pathogens or metabolism-related tissue injury, but are also responsible for disease progression when exacerbated. In this review, we aim at providing a current state-of-the-art view on the monocyte/macrophage landscape in healthy and diseased liver, and how this influences liver malignancies.

2 The manifold faces of “liver macrophages” in the liver at steady state

When discussing the roles of liver macrophages, it is important to firstly define what we refer to as “liver macrophages”. Indeed, in recent years a certain number of dogmas were challenged by multiplexed and high-dimensional approaches such as single liver cell transcriptome analysis, flow cytometry, cell tracing and multiplex immunohistochemistry. These approaches revealed a previously underestimated diversity and heterogeneity of the liver macrophage pool at a given time in disease course, as well as at a given location in the liver.

2.1 The liver sentinels: Kupffer cells

Viewing the liver as an immunological organ acknowledges its central role in controlling local and systemic immune responses, notably through the release into the main bloodstream of alarmins and complement factors by hepatocytes. (Bogdanos et al., 2013) Most importantly, a yolk sac derived macrophage population remains in the liver and gives rise to self-renewing liver resident macrophages, the KCs. In the adult liver, KCs are located within the sinusoid capillaries and present large cytoplasmic expansions, and are thus ideally located to sense changes in the circulating blood. KCs exert key functions in liver homeostasis maintenance, and tolerance to harmless food- or gut-derived antigens entering the liver via the portal vein, as well as clearing the systemic blood from exogenous or endogenous particles (e.g., pathogens, dead cell debris, red blood cells). (David et al., 2016; Gola et al., 2021; Guilliams et al., 2022) KCs were also shown to directly control T cell activation, although not as efficiently as dendritic cells and most often as a tolerogenic mechanism. (You et al., 2008; Heymann et al., 2015) KCs also possess the ability to repress dendritic cell-induced T cell activation, as demonstrated by lower T cell proliferation when KCs were introduced into T cell and dendritic cell co-cultures. In line, earlier studies demonstrated that the liver is a privileged site for CD8+ T cell apoptosis. (Huang et al., 1994; Bertolino et al., 1995) On the other hand, KCs also act as the immune system sentinels, and are among the first responders to pathogen- or damage-associated molecular patterns (PAMPs and DAMPs, respectively). Upon liver injury and despite their immunotolerant functional roles, KCs represent a major source of chemoattractants for circulating immune cells, including bone-marrow derived macrophages. Similarly to other immune cell populations, multiple KC subtypes have been identified, with varying functions during homeostasis and disease. (Bleriot et al., 2021; Guilliams et al., 2022)

2.2 The task force: Monocyte-derived macrophages

Monocyte-derived macrophages (MoMFs) represent a complex yet very intriguing compartment of the innate immune system, as naïve and freshly recruited MoMFs can rapidly accumulate at the injury sites and be directed towards a plethora of activated phenotypes depending on microenvironment-derived signals, ranging from pro- to anti-inflammatory, and pro- to anti-fibrotic. MoMFs can also either exacerbate pathological processes leading to tissue injury or play crucial roles in supporting tissue repair. Recent findings from single cell transcriptome sequencing and spatial proteomics evidenced the diversity of MoMF phenotypes even at a given time in a singular tissue, and will be detailed below with a particular focus on liver cancer. (Ramachandran et al., 2019; Krenkel et al., 2020; Guilliams et al., 2022; Hundertmark et al., 2022) Thus, MoMF populations represent very dynamic and astonishingly flexible immune cells. A specific MoMF population was shown to be present preferably around bile ducts during homeostasis, identified as Gpnmb-expressing and termed lipid-associated macrophages (LAMs), in reference to the monocytes that were shown to accumulate during liver steatosis. (Remmerie et al., 2020; Guilliams et al., 2022)

2.3 Additional sources of liver macrophages

Peritoneal macrophages represent an alternative source of macrophages, as described by Wang and Kubes in a mouse model of focal and superficial thermal-induced liver injury. (Wang and Kubes, 2016) In this study, the authors described a non-vascular route of macrophage infiltration towards the injury sites, and an active participation of GATA6-positive peritoneal macrophages in inducing tissue repair. The authors hypothesize peritoneal macrophages migrating through the liver capsule may be implicated in liver cancer as well, but this remains to be demonstrated. Similarly, some studies demonstrated the presence of capsular area-specific macrophages. The capsular macrophages were defined as negative for CLEC4F and TIMD4 but positive for CD11b and F4/80 in mice. (David et al., 2016; Sierro et al., 2017) Peritoneal macrophages were also shown to express CD207, similarly to some macrophages located at the central vein. (Guilliams et al., 2022) A function attributed to the capsular macrophages was to limit the propagation of peritoneal pathogens to the liver, by inducing neutrophil recruitment to the liver. (Sierro et al., 2017) Overall, the implications of capsular macrophages in NAFLD and HCC remain to be elucidated.

3 The sword of damocles: Focus on the roles of liver macrophages in NAFLD/NASH as a pre-malignant condition

Primary liver cancers are mainly of two cellular origins: hepatocytes (leading to HCC, which accounts for 80% of primary liver cancers), or cholangiocytes (leading to cholangiocarcinoma, CCA, 15% of primary liver cancers). (Rumgay et al., 2022b) Liver cirrhosis or even chronic liver diseases at earlier stages, are regarded as major risk factors for HCC. On the other hand, risk factors for CCA remain to be clarified, since CCA has higher risks to arise in healthy livers without any apparent risk factor as compared to HCC. (Banales et al., 2020) NAFLD encompasses a large range of chronic liver disease conditions, notably characterized by varying degrees of steatosis (i.e., excess fat accumulation in hepatocytes), inflammation, and fibrosis. In the last decades, much knowledge has been gathered that demonstrate liver macrophage implications in virtually all the aspects of NAFLD initiation and progression, comforting earlier hypotheses of multiple parallel hits. Nevertheless, the multifaceted yet contradictory macrophage functions render macrophage-targeting strategies challenging. For all these reasons, this section describes the current knowledge on the intricate roles of liver macrophages that may have pro- or anti-tumoral roles in NAFLD- and NASH-associated HCC. (Ueno et al., 2022)

3.1 An adapting (im) balance between resident KCs and MoMFs mobilization and spatial distribution

The healthy liver is primarily populated by liver resident macrophages (KCs) and patrolled by MoMFs. We and others have demonstrated that in mouse models of NAFLD/NASH, there is a global disruption in the liver macrophage compartment, notably visualized by a massive infiltration of MoMFs and a reduction in KC numbers. (Heymann et al., 2015; Reid et al., 2016; Guillot et al., 2020; Mulder et al., 2021) The changes observed in the balance between the distinct macrophage populations have dramatic implications for the local immune milieu, considering the major functional differences attributed to specific macrophage pools (i.e., KCs versus MoMFs). The histological changes observed during NAFLD progression also include a marked accumulation of immune cells, notably MoMFs, within the peri-lobular areas, marked with active fibrogenesis and inflammation. (Guillot et al., 2023) This has several consequences on the inflammatory status of the liver, especially considering that the portal areas represent the primary sites of entry for gut-derived antigens, usually captured by KCs without the initiation of an inflammatory response, as opposed to MoMFs that are prone to respond to bacterial antigens by the secretion of pro-inflammatory mediators. (Knolle et al., 1995) Thus, the disturbed KC/MoMF balance together with a preferential localization of MoMFs in portal areas, may further enhance a sustained and detrimental inflammation in the liver.

3.2 Liver macrophages as inflammation orchestrators

KCs are regarded as the liver sentinels, generally playing the role of immunotolerant cells that prevent excessive inflammation to harmless antigens. For instance, it is long-known that KCs respond to lipopolysaccharides by releasing IL-10, thus reducing the local secretion of pro-inflammatory IL-6 and tumor necrosis factor-alpha (TNF-α). (Knolle et al., 1995) However, the transcriptomic profiles of myeloid cells present in the liver, but also their precursors found in the bone marrow, were shown to be drastically altered and for a prolonged time upon steatohepatitis. This was notably demonstrated by single cell sequencing that showed a reduced S100a9+ myeloid cell population in Western diet fed mice. In the same study, bone marrow transfer from normal chow to Western diet fed mice resulted in increased liver injury upon exposure to acetaminophen, revealing a potentially protective macrophage phenotype against excessive inflammatory response to hepatic injury. (Krenkel et al., 2020) Accordingly, it was shown that macrophage depletion prior to or when starting a methionine/choline deficient diet model of NASH, meaning at a point where the liver is mostly populated with KCs, resulted in decreased steatosis and monocyte recruitment to the liver. (Tosello-Trampont et al., 2012; Reid et al., 2016) Guilliams et al. suggested a rather anti-inflammatory role of LAMs, which also accumulate in a mouse NAFLD model. (Guilliams et al., 2022) Indeed, in this study, the authors showed that LAMs found in Western diet fed mice had lower gene expression of pro- (e.g., Tnfa, Il1b) and anti-inflammatory (e.g., Il10) cytokines compared to their counterparts found in the healthy liver. Furthermore, the authors reported on the presence of similar macrophage phenotypes in human steatotic liver, although this was observed in a limited number of patient samples and needs further validation, particularly on establishing the functional relevance of this macrophage heterogeneity. Besides, liver macrophages were shown to respond to, and also to direct, T cell response in homeostasis, but also during liver disease. (Mulder et al., 2021) More specifically, macrophages play central roles in amplifying interleukin-17A (IL-17A)-driven inflammation and fibrosis in the liver. (Guillot et al., 2014) Indeed, IL-17A-receptor is ubiquitously expressed and has been shown to have multiple roles in inflammatory disease progression. IL-17A treatment directly increased pro-inflammatory cytokine expression on macrophages, and enhanced myofibroblast collagen expression.

3.3 Liver macrophage roles in the installment of liver steatosis

KCs and macrophages in general, are characterized by their ability to sense and phagocytose particles or molecules in their surrounding environment. As such, toll-like receptors (TLRs) represent a family of membrane or cytoplasmic receptors triggering signaling cascades responsible for directing further immune responses. TLR4 is a known receptor for lipopolysaccharides, and its activation leads to the release of potent pro-inflammatory cytokines. Furthermore, TLR4 also binds free fatty acids, leading to NF-κB activation and TNF-α/IL-6 release. (Shi et al., 2006) Noteworthy, macrophages may actively influence the global metabolism. This was for instance evidenced by a manuscript from Jourdan et al., in which KC-specific cannabinoid-receptor type 1 deficient obese mice had improved glucose tolerance and insulin sensitivity yet similar liver fat content compared to their wild-type counterparts. (Jourdan et al., 2017) These effects were attributed to an Il-6, Ccl2 and Tnf-α gene expression reduction by KCs in obese mice, and reduced oxidative stress in KCs. In the same study, conditioned medium from KCs inhibited the hepatocyte response to insulin, which was abrogated in cannabinoid receptor type 1 deficient KCs. Lipid-associated macrophages (LAMs) have been described as a population of macrophages accumulating in the adipose tissue of obese humans and mice and displaying lipid metabolism and phagocytosis related gene signatures. Lipid accumulation in these metabolically active macrophages was further evidenced by staining of neutral lipids with BODIPY, CD9 and TREM2 staining. (Jaitin et al., 2019) Similarly, MoMFs isolated from Western diet fed mice were shown to have decreased S100a8 and S100a9 expression but increased Plin2, suggesting MoMFs are similarly implicated in lipid metabolism. (Krenkel et al., 2020) In the liver, LAMs have been described as Trem2-expressing macrophages observed in a high-fat diet murine model and in NASH and obese patients. (Jaitin et al., 2019; Hendrikx et al., 2022) Furthermore, a large body of evidence demonstrated that TREM2+ macrophages have an anti-inflammatory role. (Jaitin et al., 2019; Remmerie et al., 2020; Zhang et al., 2022; Zhou et al., 2022) Conversely, Ramachandran et al. described scar-associated macrophages in human cirrhotic liver that co-expressed LAM signature genes, such as TREM2, GPNMB, CD9 and SSP1, but also mitogens for fibroblasts such as PDGFB and TNSFS12 (TWEAK) and displayed a pro-fibrotic phenotype. (Ramachandran et al., 2019) TREM2 is a transmembrane receptor of the immunoglobulin superfamily that recognizes lipids and apolipoproteins, and promotes immune tolerance during NAFLD. (Colonna, 2003) Mechanistically, TREM2 is associated with and signals via DAP12, which downregulates the transcription of inflammatory genes like TNFA, IL1B, and NOS2. (Takahashi et al., 2007) TREM2+ macrophages seem to be a highly conserved population, as macrophages with closely similar gene signatures have been described in different tissues and diseases, such as adipose tissue, atherosclerosis and Alzheimer disease. (Jaitin et al., 2019) Thus, TREM2 has emerged as a marker for an immunosuppressive lipid-associated macrophage subset in fatty liver. (Jaitin et al., 2019; Remmerie et al., 2020; Zhang et al., 2022) The fatty acid translocase CD36 is a scavenger receptor that binds and internalizes fatty acids and lipoproteins and can stimulate pro-inflammatory as well as anti-inflammatory functions in macrophages. In atherosclerosis and fatty liver disease, internalization of modified lipids, such as oxidized LDL, by CD36-expressing macrophages resulted in formation of inflammatory foam cells. (Rahaman et al., 2006; Bieghs et al., 2012) Interestingly, the pro-inflammatory functions of CD36 are dependent on co-activation of TLRs. On the contrary, CD36 expression is increased on restorative macrophages and participates in anti-inflammatory functions, like efferocytosis and the uptake of fatty acids, acting as ligands for anti-inflammatory nuclear receptors (i.e., PPARs) or substrate for fatty acid oxidation. (Canton et al., 2013; Puengel et al., 2022a) Furthermore, Cd36 targeted silencing in KCs but not in MoMFs led to decreased liver oxidative stress (reduced malondialdehyde and reactive oxygen species accumulation) although this did not affect liver total triglyceride levels in obese mice. (Bleriot et al., 2021)

3.4 The impact of liver macrophages on fibrogenesis

The progression of liver diseases is typically characterized by the extent of liver fibrosis. Liver fibrosis is defined by the excessive accumulation of extracellular matrix (ECM) proteins, predominantly produced by activated hepatic stellate cells (HSC) or myofibroblasts. Other mesenchymal cell populations such as portal fibroblasts may contribute to ECM production as well. (Lei et al., 2022) Liver macrophages, including both KCs and MoMFs, represent major sources of HSC-/myofibroblast-activating cytokines including TGF-β, TNF-α, IL-1β and IL-6. (Pradere et al., 2013; Trautwein et al., 2015) Oncostatin M (OSM) is another pro-fibrotic cytokine released by macrophages, that promotes liver fibrosis particularly by inducing the expression of tissue inhibitor of metalloproteinase 1 (Timp-1). (Matsuda et al., 2018) This study notably showed that in the absence of underlying tissue injury, OSM overexpression is sufficient to initiate liver fibrogenesis. This fibrogenesis was attributed to the strong accumulation of MoMFs in the fibrotic areas and higher IL-6, TNF-α, and IL-1ß levels in the liver. Macrophage Mer Tyrosine Kinase (MerTK) has also been shown to play an indirect role in HSC activation in NASH, notably by inducing ERK1/2 phosphorylation and TGF-β1 release by KCs after Gas6 stimulation. (Cai et al., 2020) Moreover, this study also described that macrophage MerTK induced palmitate-treated hepatocyte cell death through TGF-β, a mechanism potentially aggravating not only liver fibrosis but also tissue injury in NASH. In accordance with the contradictory functions of liver macrophages, it was shown that increased TREM2+ macrophage recruitment in fibrotic NASH livers and higher soluble TREM2 levels in circulating blood, were associated with better outcome in patients, suggesting protective functions of TREM2+ macrophages notably through lipid-metabolism regulatory functions. (Ramachandran et al., 2019; Hendrikx et al., 2022) Interestingly, TREM2+ macrophages accumulate in the tissue areas with active fibrogenesis, oxidative stress and inflammation. Recent developments have allowed us to go beyond the “classical”, well-established molecular crosstalk between liver macrophages and fibrogenic cells, and new therapeutic targets of interest for fibrosis resolution through macrophage phenotype modulation towards a fibrolytic phenotype, or targeting pathways that are specific for fibroblast activation and proliferation (for example PDGFRA and TNFSF12A on scar-associated mesenchymal cells) are expected to be identified in the near future. (Krenkel et al., 2019; Ramachandran et al., 2019; Ramachandran et al., 2020; Cheng et al., 2021; Guilliams et al., 2022; Lee et al., 2022; Tada et al., 2022) Importantly, most macrophage-derived cytokines or macrophage polarizing factors affect multiple cell populations. This is particularly exemplified by IL-17A, which was shown to exert potent pro-inflammatory and fibrogenic effects, by acting directly on virtually all liver and immune cells. (Guillot et al., 2014; Li et al., 2021) Intriguingly, it has been suggested that the combined measurement of high alpha-foetoprotein and IL-17A could be predictive of future HCC development in cirrhotic livers. (Liang et al., 2021)

4 Turning the steatohepatitis-driven immune activation into a tumor promoting environment

Macrophages display an astonishingly high plasticity and ability to adapt to environmental cues in order to react to a variety of unfavorable conditions threatening the organism. The tumor stroma also called the tumor microenvironment (TME) exhibits peculiar conditions that conveniently coerce the macrophage phenotype towards a tumor-promoting state (Figure 1). In this section, we will discuss the TME specificities, and how it is shaped by and influences macrophages.

FIGURE 1
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FIGURE 1. Immune cells of multiple origins influence the course of NAFLD and HCC. Liver resident and infiltrating immune cells from the circulation are directly implicated in NAFLD and HCC initiation and progression. Abbreviations, ECM, extracellular matrix; HSC, hepatic stellate cell; MoMF, monocyte-derived macrophage; NAFLD, non-alcoholic fatty liver disease; PBMCs, peripheral blood mononuclear cells. Created with BioRender.com.

4.1 The tumor microenvironment influences macrophage functions

4.1.1 The fibrotic and steatotic neoplastic niche—shaping the macrophage milieu?

Advanced liver fibrosis, a pathological wound-healing reaction towards chronic liver injury and inflammation, represents a considerable risk factor for HCC. (Li et al., 2021) Indeed, about 90% of all HCC develop in the background of a fibrotic or cirrhotic liver, characterized by excess ECM. (58) The functions of the ECM go beyond merely providing structural support. The composition of the ECM is dynamic and complex and can influence adhesion, signaling and proliferation of the adjacent cells. Importantly, increased matrix stiffness induces signaling pathways driving HCC development. (Levental et al., 2009) The hepatic TME is enriched in activated fibroblasts mainly originating from HSCs. (Affo et al., 2017) In a recent study, Filliol et al. described two subsets of HSCs with dual roles in mouse models of HCC. On the one hand, collagen-I producing activated myofibroblastic HSCs that promoted proliferation and tumor development through activation of TAZ in premalignant hepatocytes and discoidin domain receptor 1 in tumors. A subset of cytokine-producing and quiescent HSCs, on the other hand, carried out a tumor-limiting role by producing protective mediators such as hepatocyte growth factor (HGF). Interestingly, collagen-I producing fibroblasts accumulated predominantly around the HCC nodules but not within the tumor, suggesting their predominant role in establishing a tumor promoting preneoplastic niche. (Filliol et al., 2022) Activated HSCs are not only the main producers of ECM in the liver but also a source of TGF-β, and chemokines like CCL2 that attract CCR2+ monocytes. (Levental et al., 2009; Affo et al., 2017) Besides recruitment, activated HSCs are also implicated in skewing macrophage phenotype towards immunosuppression. (Ji et al., 2015) This is at least in part mediated through direct cell-cell contact between HSCs and monocytes involving CD44, as shown in vitro using CD14+ human blood monocytes. (Hochst et al., 2013). In this study, the authors demonstrated that coculture with, but not conditioned medium from activated HSCs rendered human blood monocytes immunosuppressive, characterized by reduced HLA-DR expression and the ability to suppress CD8 T cell proliferation through arginase 1 (ARG1), an effect that could be abrogated by CD44 blockade. CD44 proteins belong to a family of ubiquitously expressed cell surface adhesion proteins, and are important mediators of cell-cell contact and adhesion but also regulate many biological activities. CD44 binds to several extracellular matrix proteins, among others hyaluronic acid, collagens and osteopontin. (Senbanjo and Chellaiah, 2017) Hepatic macrophages, on the other hand, can activate quiescent HSCs via TGF-β and promote survival of myofibroblasts through the secretion of IL-1 and TNF, thereby facilitating fibrosis (Pradere et al., 2013; Fabregat and Caballero-Diaz, 2018) In a study on patients with non-viral HCC, the TME of steatotic HCC subtypes was enriched in immune cells and cancer-associated fibroblasts (CAFs), alongside with an increased CCL2 expression and an over activated TGF-β pathway compared to other HCC subclasses. (Murai et al., 2022) Similarly, TGF-β was upregulated in diet-induced NASH-HCC in mice. Interestingly, TREM2+ LAMs expressed Tgfrb1 and in vitro stimulation of murine bone marrow derived macrophages with TGF-β induced Trem2 mRNA expression, along with other TREM2+ macrophage markers such as Gpnmb and Tgfbr1. (Zhang et al., 2022) Activated fibroblasts from steatotic and fibrotic livers and CAFs are not only a source of CCL2 and involved in the recruitment of CCR2+ myeloid cells (such as TREM2+ macrophages), but also produce TGF-β, suggesting a link between the accumulation TREM2+macrophages in fibrosis, steatosis and HCC. (Yang et al., 2016; Affo et al., 2017; Schwabe et al., 2020; Guilliams et al., 2022)

Even though most NASH-HCCs arise in a cirrhotic liver, HCC can also develop in steatotic livers without advanced fibrosis or cirrhosis. (Paradis et al., 2009; Alexander et al., 2013) Interestingly, pathologically activated STAT1 signaling promotes inflammation and fibrosis in high-fat diet fed mice, while enhanced IL-6-STAT3 signaling is instrumental in eliciting tumor development, reaffirming previous findings describing an essential role for the IL-6-STAT3 axis in obesity-related HCC. (Park et al., 2010; Grohmann et al., 2018) Trans-signaling of IL-6 has been linked to the expansion of progenitor cells in mouse models of chronic injury, thereby favoring the development of combined hepatocellular-cholangiocellular carcinomas. (Rosenberg et al., 2022) Although an autocrine loop for IL-6/STAT3 in hepatocytes has been suggested, activated KCs and infiltrating macrophages are also a vital source of IL-6 and TNF-α, which is also elevated in NAFLD/NASH mouse models. (Park et al., 2010; Yu et al., 2019) Alterations in lipid composition and metabolism are a common feature in primary liver cancer and promote tumor growth and progression. (Satriano et al., 2019) Lipids are essential for the synthesis of cell membranes and other structures, but are also stored and used as energy source, serving as substrate for fatty acid oxidation (FAO) in mitochondria. Importantly, lipids also act as signaling molecules and substrates for bioactive molecules. (Paul et al., 2022) Although not utilizing lipids for FAO, malignant liver cells have an increased demand for lipids to build cell membranes and mediators that promote tumor progression. (Paul et al., 2022) Subsequently, genes included in FFA uptake and in particular de novo lipogenesis are upregulated in HCC. (Luo et al., 2021) As a result, the HCC TME is enriched in fatty acids and lipid derivatives, an environment that can promote a pro-tumoral phenotype in tumor-associated macrophages (TAM), characterized by the expression of CD206, IL-6, vascular endothelial growth factor A (VEGF-A), matrix metalloproteinase (MMP) 9 and ARG1. (Wu et al., 2019a; Broadfield et al., 2021) Lipid-binding nuclear receptors such as peroxisome proliferator activated receptors (PPAR) and liver X receptor (LXR) are important regulators of macrophage metabolism and polarization. (Odegaard et al., 2007; Pourcet et al., 2016) PPAR-γ has a particularly decisive role for TAM metabolism. PPAR-γ activity induces FAO in macrophages and upregulates CD36 expression. (Nagy et al., 1998; Odegaard et al., 2007) On the other hand, cleavage of PPAR-γ by caspase 1 allows its binding to the mitochondrial protein medium-chain acyl-CoA dehydrogenase (MCAD) resulting in reduced FAO and increased production of lactate, indicative of glycolytic activity. (Niu et al., 2017; Wu et al., 2020; Bogdanov et al., 2022) LXR, a nuclear receptor involved in cholesterol regulation, was suggested to contribute to the phenotype of TREM2+ macrophages in HCC. (Zhou et al., 2022) Interestingly, the transcriptomic profile of TREM2+ macrophages in NASH liver closely resembles TREM2+ TAMs found in HCC, in both patients and mouse models. (Zhang et al., 2022; Zhou et al., 2022) Even more intriguingly, gene signatures of human TREM2+ macrophages are also reminiscent of those from murine TREM2+ macrophages, suggesting a highly conserved (and thus pivotal) role for this macrophage population. (Mulder et al., 2021)

4.1.2 The hypoxic and acidic tumor environment

Tumor cells acquire a drastically deregulated metabolism, which is not only an adaptation to an unfavorable environment often characterized by hypoxia and nutrient deprivation, but also affects the metabolism and phenotype of macrophages and impairs their immune competence. Tumor cells actively contribute to generating an acidic microenvironment by aerobic glycolysis, notably through the generation of lactate. (Hanahan and Weinberg, 2011; Bogdanov et al., 2022) This acidic environment induces the immunosuppressive protein cyclic AMP element modulator (CREM) and enables binding of the myeloid-derived acidic pH selective V-domain immunoglobulin suppressor of T cell activation (VISTA) to its receptor on T cells, suppressing cytotoxicity. (Sawka-Verhelle et al., 2004; Lines et al., 2014; Johnston et al., 2019) In addition, aerobic glycolysis reduces glucose availability for macrophages, thus limiting one of the metabolic pathways leading to the generation of reactive oxygen species (ROS) and the release of inflammatory cytokines. (Freemerman et al., 2014) Increased lactate concentrations further stabilize hypoxia-inducible factor (HIF)-1α, thereby driving a tumor-promoting phenotype in bone marrow-derived, tumor-educated TAMs, characterized by enhanced expression of arginase and VEGF. (Colegio et al., 2014) Hypoxia resulting from insufficient oxygen supply, is a typical phenomenon in acute and chronically injured tissue and is a critical inducer of regenerative processes, primarily orchestrated by the major hypoxia sensing transcription factor HIF-1α. (Ruthenborg et al., 2014) These wound healing processes are also abundant but dysregulated in tumors, where hypoxia is a result of an inadequate oxygenation due to rapid tumor cell proliferation and defective vascularization. (Byun and Gardner, 2013; Lv et al., 2017; Abou Khouzam et al., 2020) Macrophages play a critical role in both physiological and pathological wound healing and their functional activation is influenced by hypoxia. Indeed, HIF-1α signaling was shown to upregulate PD-L1 expression in murine splenic and tumor-associated myeloid cells (MDSCs). (Noman et al., 2014) Accordingly, CD8+ T cells from highly hypoxic HCC tissue areas displayed an increased expression of PD-1 along with a decreased expression of Granzyme B, compared to CD8+ T cells from tumor regions with low hypoxia, indicative of an anergic, less cytotoxic phenotype. (Suthen et al., 2022) Using a murine model of orthotopic HCC, another study demonstrated that HIF-1α not only induces PD-L1, but also promotes Triggering receptor expressed on myeloid cells 1 (TREM-1) expression on TAMs. Strikingly, TREM-1 signaling upregulated CCL20 expression in TAMs, resulting in recruitment of CCR6+ Tregs to hypoxic areas and thus participating in tumor resistance against PD-L1 blockade. (Wu et al., 2019b)

HIF-1α signaling in TAMs induces not only numerous genes involved in epithelial-mesenchymal transition (EMT), immunosuppression and regeneration, but also genes involved in glucose metabolism, such as Glucose transporter 1 (GLUT1) and hexokinase 2 (HK2), shifting TAM metabolism towards aerobic glycolysis further amplifying this phenomenon and maintaining a TAM anti-inflammatory phenotype. (Puthenveetil and Dubey, 2020; de-Brito et al., 2020)

4.2 The diverse origins and roles of tumor-associated macrophages in the tumor microenvironment

4.2.1 Defining the tumor-associated macrophages

As illustrated by their diverse roles in immune homeostasis and tissue injury as well as in repair mechanisms, macrophages are equipped with a plethora of anti-inflammatory and pro-regenerative properties, which can be exploited by a tumor. The predominant, detrimental role of TAMs is to protect the malignancy from the host anti-tumor immunity. However, TAMs are also involved in the formation of new blood vessels, the supply with growth factors, the support of epithelial to mesenchymal transition and tumor cell dissemination, as well as resistance towards chemotherapies, which are considered important hallmarks of cancer progression. (Hanahan and Weinberg, 2011; Hanahan, 2022)

While the accumulation of oncogenic mutations and the attainment of proliferative independency is the basis of carcinogenesis, the tumor stroma provides a critical supportive and protective niche for the developing tumor. The TME comprises non-malignant acellular and cellular components such as secreted factors, ECM as well as cancer associated fibroblasts, endothelial cells, and heterogeneous innate and adaptive immune cells. (Hanahan and Weinberg, 2011; Anderson and Simon, 2020) The composition of the TME varies greatly depending on the tumor type, underlying mutations, tumor stage and metabolic conditions within the tumor. (Hanahan and Weinberg, 2011; Anderson and Simon, 2020; Llovet et al., 2021) The immune compartment of the TME contains various immune cells that either actively support the tumor (for instance, macrophages, neutrophils, regulatory T cells (Treg), regulatory B cells) or that are potentially tumoricidal but rendered ineffective by the anti-inflammatory environment (such as macrophages, T cells, dendritic cells, NK cells, NKT cells). (Binnewies et al., 2018) Besides Treg cells, myeloid cells represent a major immunosuppressive compartment in the tumor stroma, and are composed of granulocytes, TAMs and immature myeloid cells, often referred to as myeloid-derived suppressor cells (MDSCs). (Binnewies et al., 2018) Monocytes/MDSCs and TAMs constitute a major part of the tumor stroma in solid tumors and are often indicative of a poor prognosis.

Monocytic MDSCs (M-MDSCs) are described as CD11b+Gr1/Ly6ChighLy6G cells in mouse and CD11b+CD14+HLA-DR−/loCD15- cells in humans. Granulocytic or polymorphonuclear MDSCs (PMN-MDSCs) are defined as CD11b+Gr1/Ly6ClowLy6G+ in mouse, while human PMN-MDSCs are mostly described as CD11b+CD14CD66b+CD15+. However, as MDSCs express identical surface markers as classical monocytes and neutrophils, functional assays or additional markers are needed to identify MDSCs. Moreover, the use of the term MDSC is disputed in the literature and many studies do not clearly distinguish between TAMs, classical monocytes or monocytic MDSCs. While some authors advertise MDSCs as a coequal immune cell population, other researchers regard the concept of MDSCs as oversimplified and outdated. (Bronte et al., 2016; Guilliams et al., 2018; Veglia et al., 2018)

Accumulation of macrophages in patients with HCC was reported to be generally associated with disease progression or aggressiveness. (Ding et al., 2009; Yeung et al., 2015) Although the majority of TAM exert anti-inflammatory and tumor supporting functions, macrophages also have the inherent ability to initiate an anti-tumor response and eliminate malignant cells directly by phagocytosis or indirectly by eliciting a Th1 response. (Martinez et al., 2008; Mantovani et al., 2017) In a well-noticed study of macrophages in patients with colon cancer, a high density of TAMs correlated with a better clinical outcome. (Forssell et al., 2007) Because of the dual roles of TAM and the observation that tumor-promoting macrophages express phenotypic markers resembling to some extent the so-called M2-macrophages, while anti-tumoral macrophages share functional markers with the so-called M1-polarized macrophages, TAMs were classified according to the M1/M2 dichotomy. However, over the last years it became evident, that TAMs and liver macrophages in general are phenotypically and functionally much more heterogeneous than previously assumed, and that distinct phenotypes may even coexist within a singular tumor, thus the M1/M2 paradigm is too simplified and should not be applied anymore. (Cassetta et al., 2019; Donadon et al., 2020) Still, in some human studies, TAMs with an inflammatory phenotype are referred to as M1-like TAMs or TAM1, whereas TAMs with tumor-promoting properties are described as M2-like TAMs or TAM2. Tumoricidal TAM1 are mostly identified by immunogenic markers like CD68 and CD80, CD86, MHC class II or iNOS. (Movahedi et al., 2010) Tumor-promoting TAM2 are generally defined by the expression of scavenger receptors (e.g., CD204, CD206, CD163 or CD169) or ARG1. (Christofides et al., 2022) However, this nomenclature ignores that some of the inflammatory “M1” characteristics, like iNOS or TNF-α production can also fuel cancer progression. (Greten and Grivennikov, 2019)

In a recent cross-tissue meta-analysis of human macrophage single-cell datasets, Mulder et al. identified at least four distinct TAM populations in HCC, one of them being uniquely found in liver cancer, while another population of inflammatory IL-1β+ monocytes present in other cancer entities was not accumulating in HCC. (Mulder et al., 2021) In particular, they identified and described a subset of IL-4I1+ TAMs conserved across all cancer entities including lymph node metastasis. While IL-4I1+ TAMs were characterized by increased levels of the immunosuppressive markers IDO and PD-L1, they also expressed immunostimulatory “M1”-like markers, such as HLA-DR, CD86 as well as interferon (IFN)-yR and CD40, indicative of an interactions with T cells. The authors demonstrated that interactions with CD40L+ CD4 T cells together with CD8+ T cell derived IFN-y programmed the IL-4I1+ TAMs towards an immunosuppressive phenotype. Another TAM subset, characterized by expression of TREM2 and SPP1 resembling recently identified fibrosis associated macrophages, was present in all primary tumors but not in metastasis. (Mulder et al., 2021) A further subpopulation of TAMs was found to express the Notch target HES1 and high amounts of CD206 and CD163 and to interact preferentially with Tregs. (Sharma et al., 2020; Mulder et al., 2021) Interestingly, HES1+ TAMs in HCC express the folate 2 receptor FOLR2 and resemble fetal liver macrophages. (Sharma et al., 2020) TAM subpopulations seemingly not only differ in gene expression signature but also in their localization in the TME. HES1+ TAMs and TREM2+ TAMs were preferentially located in the tumor tissue while IL-4I1+ TAMs were enriched at the tumor periphery. (Mulder et al., 2021)

The M1/M2 and MDSC concept is controversial, oversimplified and in many aspects inaccurate in regards of TAM subpopulations, therefore we will not refer to this nomenclature in the following section but rather describe the functional and phenotypical features of macrophages and monocytes in the TME.

4.2.2 The origin of TAMs in liver cancer

Although alternative routes exist, CCL2 is considered as the major chemokine responsible for the recruitment of classical/pro-inflammatory monocytes in manifold inflammatory conditions. In the diseased liver, CCL2 is expressed by activated HSCs and fibroblasts, activated KCs, endothelial cells, injured biliary epithelial cells, and premalignant hepatocytes. (Eggert et al., 2016; Ehling and Tacke, 2016; Guillot et al., 2021) However, malignant cells frequently overexpress CCL2 as well, and high expression of CCL2 in human HCC correlates with a poor prognosis. (Li et al., 2017a)

In a model of Hepa 1-6 cell-derived liver tumors, developed in otherwise unchallenged mouse livers, CCL2/CCR2 blockade attenuated tumor growth, altered TAM phenotype and restored CD8+ T cell activity. (Li et al., 2017a) Similarly, in a model of DEN + CCl4-induced fibrosis-HCC, disruption of the CCL2/CCR2 axis reduced tumor burden and pathological vascularization. (Bartneck et al., 2019) The role of TAM recruitment in NAFLD/NASH associated HCC on the other hand is yet unclear. In mouse models of NASH-HCC, CCR2 deficiency did not ameliorate tumor development suggesting alternative sources of TAMs or alternative recruitment pathways involved in fatty liver disease progression. (Wolf et al., 2014)

Indeed, besides CCL2, there are many other chemokines and cytokines involved in the recruitment and accumulation of monocytes/MDSCs and TAMs at the tumor site. For example, CCL5 and CCL3, binding to their cognate receptors CCR1 and CCR5 on monocytes, have been shown to attract tumor promoting myeloid cells, supporting HCC progression and metastasis, respectively. (Ehling and Tacke, 2016) Additionally, cytokines such as M-CSF (CSF-1) and VEGF-A have been implicated in the recruitment and differentiation of TAMs in murine HCC models. (Zhu et al., 2019; He et al., 2021) Also, sustained release of inflammatory mediators such as GM-CSF, CXCL12, and G-CSF by chronic inflammation in tumors causes emergency myelopoiesis, an enhanced expansion of the myeloid niche in bone marrow and spleen, and the release of immature myeloid cells with an immunosuppressive phenotype into the circulation, potentially giving rise to TAMs. (Arvanitakis et al., 2022)

Although TAMs are mostly derived from circulating CCR2+ monocytes, it is known that they can proliferate within the tumor site and that tissue resident macrophages (i.e. KCs) can contribute to the TAM pool, as well. (Mantovani et al., 2022) For example, local proliferation of TAMs in human HCC was linked to tumor-derived adenosine, acting synergistically with autocrine GM-CSF. (Wang et al., 2021) Also, binding of CSF-1 to its receptor CD115 on macrophages is known to mediate macrophage survival and proliferation. (Yu et al., 2012; Krenkel and Tacke, 2017)

Using RNA velocity, recent scRNAseq studies revealed that a TAM population with an embryonic signature in human liver cancer, characterized by high expression of HES1, FOLR2, CD163 and CD206 was at least partially derived from tissue resident macrophages, while other TAM subsets (TREM2+ TAMs and IL-4I1+ TAMs) were identified to be monocyte-derived. These results were confirmed using an elegant fate-mapping mouse model based on Ms4a3Cre-RosaTdT reporter mice. (Sharma et al., 2020; Mulder et al., 2021) Interestingly, the aforementioned HES1+ TAM population was mainly located within the tumor, while the monocyte-derived TAM subpopulations rather accumulated in the tumor periphery, which is in good agreement with previous observations that CCR2+ TAMs with an inflammatory and pro-angiogenic gene signature accumulated at the tumor border, while CD163+ TAMs were predominantly found in the tumor center. (Bartneck et al., 2019; Mulder et al., 2021)

4.2.3 Phagocytosis and scavenging—the role of anti-inflammatory markers

Removal of unwanted and dead material is a central function of macrophages and can be immunogenic in case of tissue damage and inflammation and is then called phagocytosis, or non-immunogenic to preserve tissue homeostasis, a process termed efferocytosis. Phagocytosis of tumor cells and debris by macrophages not only eliminates tumor cells but induces cytokine production and cross-presentation of tumor antigens to CD8+-T cells, hence holding an important role in tumor control. (Biswas and Mantovani, 2010) The phagocytic activity of macrophages is tightly regulated by the balance between “eat me” and “do not eat me”-ligands on cells that are screened by patrolling macrophages. (Lecoultre et al., 2020) Typical “eat me” signals that induce phagocytosis include opsonizing antibodies binding to FcyR on TAMs and the exposure of calreticulin on the surface of cancer cells. (Obeid et al., 2007; Cassetta et al., 2019) “Do not eat me” ligands, like CD47 and PD-L1, are frequently upregulated in tumors and protect the malignant cells from phagocytic elimination. (Lecoultre et al., 2020) Binding of the ubiquitously expressed molecule CD47 to its receptor signal-regulatory protein alpha (SIRPα) on TAMs, effectively inhibits phagocytosis. CD47 is frequently increased in HCC and strongly overexpressed in cholangiocarcinoma, where blockade of CD47/SIRP1a interaction enhanced phagocytosis and reduced tumor progression. (Xiao et al., 2015; Chen et al., 2019a; Vaeteewoottacharn et al., 2019) Macrophage-driven cell clearance (efferocytosis/phagocytosis) has gained increasing attention in NAFLD/NASH. A recent study demonstrated that the prolonged hypernutrition in fatty livers leads to the impairment of TREM2-dependent macrophage efferocytic activity, thereby exacerbating liver inflammation and NASH progression. (Wang et al., 2023) Additionally, another finding indicated that the CD47-SIRPα axis blockade can reverse the inhibition of macrophage-driven cell clearance, and decrease liver fibrosis. (Shi et al., 2022) Neoplastic cells in HCC can express PD-L1, which was shown to impede T cell activity. (Calderaro et al., 2016) Of note, murine and human TAMs were reported to express PD-1. PD-1+ TAMs displayed a reduced phagocytic activity against PD-L1+ tumor cells, which could be restored in mouse models of cancer by blocking the PD-1/PD-L1 axis. (Gordon et al., 2017) While reinforcing phagocytosis is an interesting therapeutic target, phagocytosis is a process intimately linked to inflammation resolution and might promote macrophages to differentiate towards an anti-inflammatory phenotype. (Wang et al., 2014) Apoptotic cell death is characterized by the exposure of the “eat me” signal phosphatidylserine on the surface of the dying cells. Phosphatidylserine is recognized by various engulfment receptors of the “TAM family” (Tyro3, Axl and Mer) on macrophages and induces non-immunogenic phagocytosis termed efferocytosis. (Lecoultre et al., 2020) Unlike phagocytosis, efferocytosis does not induce antigen cross-presentation but mediates an anti-inflammatory effect and has been implicated in tumor support. (Lecoultre et al., 2020) However, while overexpression of the efferocytosis receptor MerTK on human HCC cells was linked to tumor growth, there is little data available about the role of efferocytosis in TAMs for primary liver cancer. (Liu et al., 2022)

Similarly, removal of potentially harmful or excess molecules by scavenger receptors is a crucial function of macrophages in homeostasis and mostly assigned to an anti-inflammatory macrophage phenotype. Scavenger receptors are a diverse group of membrane-bound receptors that recognize and internalize a wide range of exogenous and endogenous ligands. The scavenger receptors CD206, CD163 and CD204 are upregulated on pro-tumoral TAMs in HCC and correlate with a poor prognosis. (Yeung et al., 2015; Li et al., 2017b; Ding et al., 2019; Mulder et al., 2021) Although CD204, CD206 and CD163 are commonly used as markers for tumor-promoting TAM, the exact role of these receptors in tumor promotion is not well understood. A high intra-tumoral density of CD204, also named scavenger receptor A 1 (SR-A1) or macrophage scavenging receptor 1 (MSR-1), is associated with a poor overall survival of patients with HCC. (Ding et al., 2019) Interestingly, CD204 can signal through MerTK to facilitate uptake of apoptotic material, a typical trait of a tolerogenic macrophage phenotype. (Todt et al., 2008; Lecoultre et al., 2020) On the other hand, Guo et al. demonstrated that in vitro engagement of CD204 resulted in JNK-induced upregulation of inflammatory genes, like Tnfa, Il1b and Ccl2, in IL-4 primed alternatively activated murine macrophages, suggesting a role in macrophage polarization. (Guo et al., 2019) The mannose receptor CD206 binds a wide array of pathogen-derived fragments and endogenous ligands including tumor-derived mucins, and is widely used as a phenotypical marker for anti-inflammatory macrophages and TAMs, both in human and mice. Emphasizing its immunosuppressive nature, CD206 is mainly found on immunoregulatory cells and triggering of CD206 promotes IL-10 production and induces a tolerogenic phenotype in activated CD8+ T cells. (Allavena et al., 2010; van der Zande et al., 2021) Contrarily, in models of melanoma and colon cancer high CD206 expression on TAMs was associated with improved cross presentation of tumor neoantigens to CD8+ T cells resulting in better tumor control. (Modak et al., 2022) The expression of the scavenger receptor CD163 is restricted to macrophages and to a lesser extend monocytes and closely linked to an anti-inflammatory phenotype. (Skytthe et al., 2020) CD163 binds haptoglobin-hemoglobin complexes and removes toxic free hemoglobin and damaged erythrocytes from the circulation thereby stimulating the production of anti-inflammatory heme-metabolites. (Canton et al., 2013; Skytthe et al., 2020) Sharma et al. demonstrated that high expression of CD206 and CD163 is a hallmark of TAMs with an onco-fetal-like phenotype in human HCC, which can be induced by tumor-associated endothelial cells through DLL4-NOTCH signaling. These TAMs showed increased interactions with immunosuppressive Tregs and expressed the angiogenic factor CXCL12. (Sharma et al., 2020) As mentioned above, CD36 upregulation and lipid accumulation has also been described on pro-tumoral TAMs and infiltrating CD11b+ Ly6C(Gr1)+ myeloid cells from different cancer entities in mice. TAMs thus engage in fatty acid oxidation to generate energy, a metabolic profile associated with immunosuppressive characteristics. (Al-Khami et al., 2017; Puthenveetil and Dubey, 2020; Su et al., 2020) In mouse models of liver metastasis, Yang et al. demonstrated that tumor cells release fatty acid-loaded vesicles that are captured and internalized through the lipid transporter CD36 on CD206+ metastasis associated macrophages (MAMs). MAMs as well as bone marrow-derived TAMs, co-cultured with different tumor cell lines, displayed an increased capability to take up long chain fatty acids. Of note, uptake and accumulation of fatty acids induced macrophage polarization towards an immunosuppressive phenotype. (Yang et al., 2022)

4.2.4 TAMs directly fuel a tumor-promoting inflammatory response

Tumor-promoting inflammation is an enabling hallmark of cancer and primary liver cancers are a typical example of inflamed tumors. Inflammatory processes are involved in tumor initiation, promotion and progression. Tumor-promoting inflammation includes not only the recruitment of immune cells by the tumor and TME-derived chemokines but also the release of inflammatory cytokines that support tumor growth. During tumor initiation, premalignant cells require an inflammatory environment to undergo oncogenic transformation and gain additional mutations. While inflammatory mediators produced by premalignant cells can act in an autocrine manner, the released chemokines activate tissue resident macrophages and attract monocytes and granulocytes from the circulation. Recruited myeloid cells produce ROS and reactive nitrogen species further driving mutations in the tumor cells but at the same time produce inflammatory cytokines that activate pro-survival pathways in tumor cells. (Greten and Grivennikov, 2019)

Tumor initiation in the liver is largely dependent on pro-inflammatory activated hepatic macrophages, as demonstrated in murine models. During chronic liver inflammation, oxidative stress and the associated ROS accumulation in hepatocytes induce the release of factors that activate liver macrophages. (Yuan et al., 2017) The IL-6/STAT3 and TNF-α/NF-κB pathways are key drivers of hepatocarcinogenesis. In particular, obesity-promoted HCC initiation depends on increased levels of IL-6 and TNF-α. (Park et al., 2010) In a murine model of endoplasmic reticulum stress and steatosis, macrophage-derived TNF promoted aggravation of steatohepatitis and HCC development. (Nakagawa et al., 2014) TNF-α not only facilitates tumor initiation but it also promotes tumor cell survival and proliferation via NF-κB activation. (Luo et al., 2004; Nakagawa et al., 2014; Yuan et al., 2017) IL-6 is a multifunctional NF-κB-regulated cytokine that activates the STAT3 pathway and promotes hepatocyte survival and proliferation. (Campana et al., 2018) Using hepatoma cell lines, Chen et al. demonstrated that IL-6 secretion by TAMs derived from primary human monocytes can induce upregulation of CD47 on tumor cells, protecting the tumor from phagocytosis and thus enhancing tumor development. During tumor progression, inflammation triggers cancer cell stemness via STAT3 dependent pathways. (Greten and Grivennikov, 2019) Cancer stem cells are a small subpopulation of dedifferentiated or stem-like tumor cells, with a high potency for self-renewal, contributing to therapy resistance, cancer relapse and intratumoral cell heterogeneity. (Huang et al., 2020; Walcher et al., 2020)

TAMs can directly facilitate HCC growth by the secretion of growth factors, such as HGF, epithelial growth factor receptor (EGFR)-ligands, fibroblast growth factor (FGF), platelet-derived growth factor PDGF, insulin-like growth factor-1 (IGF-1) and TGF-β. In vitro, HGF and IGF secreted by CD163+ macrophages were sufficient to induce hepatoma cell proliferation. (Sprinzl et al., 2015; Dong et al., 2019) TGF-β is frequently overexpressed in the TME of HCC where it promotes de-differentiation and metastasis, but also a tumor-supporting phenotype of TAMs. (Dituri et al., 2019) RAW264.7 derived TAMs displayed an elevated expression of TGF-β in comparison to other macrophage phenotypes, highlighting their participation in these processes. (Fan et al., 2014)

TREM2 is highly expressed in TAMs in over 200 different human tumors but is absent or weakly expressed in most healthy tissues. (Molgora et al., 2020) In murine tumor models, genetic ablation of TREM2 decreased the number of intra-tumoral immunosuppressive TAMs and noticeably improved the efficacy of an anti-PD-1 treatment. (Katzenelenbogen et al., 2020; Molgora et al., 2020; Binnewies et al., 2021) Furthermore, TREM2+ TAMs were described to co-express various factors that facilitate tumor immune evasion, such as Arg1, Gpnmb or Spp1. (Sharma et al., 2020; Lazaratos et al., 2022) Likewise, anti-inflammatory TREM2+ TAMs were reported in primary liver cancers of patients and in mouse models. (Zhang et al., 2019a; Mulder et al., 2021; Zhou et al., 2022).

Interestingly, in a scRNAseq study of murine NASH livers, proliferating macrophages were predominantly co-expressing Trem2, Gpnmb and Spp1. (Zhang et al., 2022) Spp1 encodes the protein osteopontin (OPN), which is also involved in tumor promotion and predicts a poor outcome in HCC. OPN induces expression of CSF1, and a global Spp1 knock-out decreased numbers of TAMs and suppressive monocytes/MDSCs suggesting a role for TREM2+ TAMs in macrophage survival and proliferation. (Zhu et al., 2019)

4.2.5 Immunosuppression/interaction with T cells

The host’s immune surveillance is one of the major obstacles for a developing malignancy. Cytotoxic T cells and NK cells are highly efficient in killing tumor cells and are supported by anti-tumoral macrophages that phagocytose tumor cells and cross-present tumor-antigens to T cells. (Martinez-Lostao et al., 2015; Lecoultre et al., 2020) In the early phase of HCC development, macrophages act as sentinels and are indispensable for the CD4+ T cell mediated clearance of premalignant hepatocytes. (Kang et al., 2011) Premalignant hepatocytes can enter a state of growth arrest termed oncogene-induced senescence, a stress response to aberrant function of oncogenes, in which they acquire a secretory phenotype and release inflammatory cytokines and chemokines, amongst others CCL2 to recruit immune cells and initiate their own removal. However, once a tumor succeeds in growing and establishes an inflammatory TME, monocyte-derived macrophages recruited via the CCL2/CCR2 axis are rapidly reprogrammed and protect the growing tumor by NK cell inactivation. (Eggert et al., 2016)

Immunosuppression is a crucial mechanism to prevent an overshooting immune response resulting in auto-aggression. TAMs produce the anti-inflammatory cytokine IL-10, that induces and promotes regulatory T cells and efficiently inhibits the differentiation of cytotoxic T cells as well as the expression of inflammatory cytokines. (Mannino et al., 2015) In addition, TAMs can release chemokines, such as CXCL9, 10, and 11, and CCL22 that attract Tregs through CXCR3 and CCR4, respectively. (Ehling and Tacke, 2016; Mulder et al., 2021) Furthermore, strong evidence from imaging mass cytometry in human melanoma, suggest that CXCL9 is a major chemoattractant for cytotoxic CD8+ T cells, and CXCL9 and CXCL10 expressing cells accumulating in areas of active anti-tumor activity. (Hoch et al., 2022) Similar phenotypes in liver cancer are yet to be demonstrated.

Immunosuppressive myeloid cells can inhibit cytotoxic T cells either directly by cell-cell-interactions or by withdrawing essential metabolites needed for cytotoxic activity. For instance, TAMs express high amounts of ARG1, an enzyme that catabolizes arginine, a critical amino acid needed for T cell activation. By removing arginine from the microenvironment, TAMs effectively inhibit the T cell-driven anti-tumor response. Similarly, the expression of the enzymes indoleamine 2,3-dioxygenase 1 (IDO1) and interleukin-4-induced 1 (IL-4I1) are increased in a subpopulation of both human and murine TAMs in HCC. (Mulder et al., 2021) IDO1 and IL-4I1 are involved in the enzymatic conversion of tryptophan to kynurenin and other metabolites, which engage the aryl hydrocarbon receptor (AhR). AhR activation facilitates immune tolerance in a variety of immune cells, especially T cells, by promoting Treg differentiation and upregulating PD-1 on cytotoxic T cells. (Mezrich et al., 2010; Liu et al., 2018; Sadik et al., 2020) Thus, in TAMs, AhR activation induces the expression of IL-6, which in turn enhances the activity of IDO1. (Cheong and Sun, 2018) Another well-known mechanism of tumor escape involves the PD-1/PD-L1 axis. Noteworthy, similarly to cancer cells, TAMs highly express the immune checkpoint ligand PD-L1. Binding of those molecules to PD-1 on activated T cells attenuates T cell cytotoxic activity. (Kuang et al., 2009) Likewise, PD-L1+ TAMs are primarily found in the peritumoral stroma of HCC patients, where cytotoxic T cells accumulate. (Kuang et al., 2009; Mulder et al., 2021) Another inhibitory checkpoint ligand expressed by macrophages is VISTA, which interacts with its receptor PSGL1 on T cells and inhibits their proliferation and cytokine production, while inducing Foxp3 and favoring Treg function. (Lines et al., 2014; Johnston et al., 2019).

Although many cells within the TME produce cytokines, TAMs are considered as major source of tumor-promoting NF-κB-regulated cytokines, such as IL-6, IL-23, IL-1β, IL-10, TNF-α and TGF-β, that can activate oncogenic pathways like STAT3 in cancer cells but also participate in the establishment of a pro-tumoral microenvironment. (Greten and Grivennikov, 2019) Although IL-10 is produced by a variety of cells, TAMs are a significant source of IL-10 in the TME. Increased levels of IL-10 in human HCC are associated with poor survival. (Zhang et al., 2019b) For instance, IL-10 inhibits the expression of MHC-II and inflammatory cytokines and was shown to induce PD-L1 expression on macrophages, an effect that is potentiated by TNF-α and prostaglandin E2 (PGE2), also produced by TAMs. (Kuang et al., 2009; Pu and Ji, 2022) Moreover, CCL22 and CCL17 secreted by TAMs attract Th2 T cells and induce Th2 polarization of naive T helper cells. (Gieseck et al., 2018) Th2 T cells are ineffective against tumors but produce cytokines like IL-4 and IL-13 that promote wound healing and fibrosis and skew macrophages towards a restorative, pro-tumoral phenotype. (Balkwill, 2004; Barron and Wynn, 2011) Bacterial components, as typically observed in the liver in pre-neoplastic conditions such as NAFLD, also participate in tumor promoting inflammation. IL-23, a pro-inflammatory cytokine, is secreted by macrophages in response to lipopolysaccharide exposure. (Peral de Castro et al., 2012) IL-23 induces Th17 polarization of T cells, recruitment of neutrophils and activation of DCs and TAMs. While in colorectal cancer, IL-23 aggravated tumor progression, there is only little evidence for a crucial role of TAM-derived IL-23 in HCC. (Grivennikov et al., 2012; Heredia et al., 2022) However, as shown in in vitro studies and an ectopic tumor model using immunodeficient mice TAM-driven Th17 lymphocyte activation participates in HCC progression. (Gasmi et al., 2022) IL-1β, a prototypic pro-inflammatory cytokine, is involved in metabolic liver diseases and is activated by caspase-1 via the NLRP3 inflammasome. (Knorr et al., 2020) Paradoxically, IL-1β promotes tumor immune evasion and tumor progression. IL-1β produced by inflammatory macrophages increases PD-L1, as well as HIF-1α-dependent CSF-1 expression in hepatoma cells, facilitating TAM accumulation. (Zong et al., 2019; He et al., 2021)

4.2.6 The roles of macrophages in angiogenesis

To maintain their growth and survival, tumor cells need nutrients and oxygen, normally provided by the hosts blood system. Insufficient oxygen supply by blood vessels due to the rapid growth, high nutrient demand and sheer mass of tumor cells results in hypoxia, a state of pathologically low levels of oxygen. (Abou Khouzam et al., 2020) Hypoxia is a common phenomenon in malignant tumors. It is predominantly sensed by the transcription factor HIF-1α in malignant and stromal cells and induces a plethora of target genes that promote reprogramming of tumor and TME metabolism, as well as angiogenesis to adapt to the hypoxic environment. Important angiogenic factors induced by hypoxia are angiopoietin 2 (Ang2), CXCL12 (also known as SDF-1) and VEGF-A. (Abou Khouzam et al., 2020) The key role of TAMs in angiogenesis is well-established and removing proangiogenic TAMs abrogates tumor vascularization, and impairs tumor growth in murine tumor models. (Zhang et al., 2010; Bartneck et al., 2019) Indeed, TAMs accumulate in hypoxic areas and express several pro-angiogenic factors, such as VEGF-A, CCL18 and MMP9. (Song et al., 2020; Lu et al., 2022)

In 2005, De Palma et al. identified a subset of pro-angiogenic monocytes expressing Tie2, a receptor binding Ang2 that gave rise to pro-angiogenic TAMs. (De Palma et al., 2005) HCC is a hypervascular tumor characterized by elevated levels of Ang2. (Mitsuhashi et al., 2003) In line with this, Tie2+ circulating monocytes and Tie2+ liver macrophages were increased in HCC patients and microvessel density in human HCC correlated with frequency of pro-angiogenic Tie2+ macrophages. (Matsubara et al., 2013) Tie2+ expressing pro-angiogenic monocytes and macrophages express high levels of the CXCL12 receptor CXCR4, and the anti-inflammatory macrophage marker CD206, MMP9 and VEGF-A. (Coffelt et al., 2010) CCR2+ monocyte-derived macrophages particularly favor pathogenic angiogenesis (“arterialization”) in mouse models of primary HCC in a fibrotic environment. (Bartneck et al., 2019)

Pro-angiogenic TAM were reported to promote resistance to chemotherapy and vascular-disrupting therapies as they are recruited through CXCR4 to CXCL12-enriched hypoxic regions of tumors where they stimulate revascularization. (Welford et al., 2011; Nakasone et al., 2012) In a scRNA-seq study including samples from seven viral hepatitis related human HCCs, Song et al. described a subset of TREM2+ CD206+ TAMs expressing CCL18, a chemokine involved in angiogenesis. (Lin et al., 2015; Song et al., 2020) Interestingly, this TAM cluster displayed a pathway activity enriched for hypoxia, iron transport and lipid metabolism and was enriched in CREM (also known as ICER), a protein induced by tumor acidosis that inhibits TLR-dependent NF-κB signaling. (Sawka-Verhelle et al., 2004; Harzenetter et al., 2007; Song et al., 2020)

The tumor endothelium in HCC is characterized by a high expression of CXCR4, a marker for neoangiogenesis. (Xu et al., 2017) Meng et al. demonstrated that TAM derived TNF-α and to a lesser extend other pro-inflammatory cytokines promoted CXCR4 expression on tumor endothelium, which suggests that TAMs induce a pro-angiogenic phenotype in tumor-associated endothelial cells. (Meng et al., 2018)

4.2.7 Macrophages regulate the dissemination of cancer cells

Invasive growth and dissemination characterize aggressive tumors, and metastatic cancer causes approximately 90% of cancer-related death. (Ganesh and Massague, 2021) Epithelial to mesenchymal transition (EMT) is a crucial mechanism during development and tissue regeneration but it is also the initial step of metastasis. During EMT, epithelial cells lose their typical epithelial expression and downregulate adhesion proteins like E-cadherin to detach from neighboring cells. At the same time, they upregulate mesenchymal markers like vimentin and acquire an invasive, migratory phenotype. Important transcription factors regulating EMT are Snail, Slug and Twist. (Yan et al., 2018; Li et al., 2022) Similarly to what was observed during tissue regeneration, pathological EMT in tumors is regulated by macrophages. TAMs accumulate at the invasive borders of the tumor and secrete growth factors, cytokines and MMPs, that in concert facilitate EMT and metastasis of tumor cells. One of the most powerful EMT inducing factors produced by TAMs is TGF-β, which has a dual role in liver cancer. While TGF-β is known to inhibit proliferation of mature hepatocytes and to suppress early stages of tumorigenesis, it facilitates cancer stemness and metastasis in advanced tumors via the YAP/TAZ pathway and Snail. (Fan et al., 2014; Moon et al., 2017; Yan et al., 2018) TAMs can secrete TGF-β directly but can also activate latent TGF-β in the ECM by releasing serine proteases and MMPs (e.g., MMP2, MMP9). (Kessenbrock et al., 2010; Fan et al., 2014; Fabregat and Caballero-Diaz, 2018) MMPs secreted by TAMs do not only release growth factors deposited in extracellular fibers but are also important for the degradation of the basement membrane and ECM, thereby enabling invasive growth and tumor cell migration. (Hynes, 2009; Yan et al., 2018) Moreover, CCL22 produced by CD163+ TAMs binds to CCR4 on tumor cells which induces EMT and promotes HCC invasiveness in patients. (Yeung et al., 2015) TNF-α is another major pro-metastatic factor secreted by TAMs. (Kim et al., 2009) A role for TNF-α in promotion of EMT was shown in CCA and hepatoma cell lines by increasing the expression of Snail and reducing E-Cadherin, and stabilizing ß-Catenin. (Techasen et al., 2012; Chen et al., 2019b) Interestingly, TAM-derived TNF-α was also suggested to be involved in EMT-independent mechanisms for metastasis, characterized by CXCR4-overexpressing endothelial cells evident in murine and human HCC termed “vessels that encapsulate tumor clusters” (VETC). (Xu et al., 2017; Meng et al., 2018) VETC consist of nests of primary tumor cells surrounded by a sinusoidal network. Using a xenograft and an orthotopic HCC model in mice it was shown that those clusters were able to enter the bloodstream and metastasize within the liver and to the lung independently of Snail or Slug expression. (Fang et al., 2015) In summary, TAMs do not only support tumor growth, but also facilitate tumor cell invasiveness and metastasis.

5 Finding new macrophage-targeting therapies for NASH-HCC

NASH and HCC and, consequently, NASH-driven HCC, represent clinical challenges due to the current lack of effective therapeutic interventions. The multi-kinase inhibitor sorafenib has been the standard of palliative care for advanced HCC for decades, although sorafenib beneficial effects were limited to about 3 months of extended survival as compared to the best supportive care, and came with a high frequency of adverse events. (Forner et al., 2012; Pang et al., 2022) One of the most described immune escape mechanisms relies on the expression of programmed-death ligand 1 (PD-L1) by tumor- and immunosuppressive immune cells. Antibodies blocking the interaction between PD-L1 and its receptor PD-1, expressed by cytotoxic CD8+ T cells, prevented T cell anergy and restored anti-tumor activity, and have been approved for HCC treatment. (Llovet et al., 2021) More recently, a combination therapy of the PD-L1 blocking antibody Atezolizumab and the VEGF neutralizing antibody Bevacizumab resulted in an improvement of overall and progression-free survival superior to sorafenib, and thus represent the current standard of care as first line therapy in patients with advanced HCC. (Finn et al., 2020; Llovet et al., 2021) However, a recent study consisting of a meta-analysis of three large randomized controlled phase III trials of immune checkpoint therapies in patients with advanced HCC, suggested that only patients with viral hepatitis-related HCC benefited from PD-(L) 1-targeted immunotherapy, while patients with non-viral HCC may not. A small cohort of patients with NAFLD-related HCC displayed even worse overall survival, possibly linked to the unique inflammatory immunopathology of NAFLD/NASH. (Dudek et al., 2021; Pfister et al., 2021).

Given that myeloid cells (especially macrophages) play predominant roles in the pathogenesis and progression of NAFLD, particular therapeutic approaches targeting macrophages rather than lymphoid cells in NAFLD-HCC might prove to have better clinical outcomes. In this review, we elaborated on the peculiar hepatic inflammatory milieu during NAFLD progression and transition to HCC. In a nutshell, the current dogma is that prolonged inflammatory and fibrogenic responses fueled by loss of KC immunotolerant functions, increases MoMF recruitment and HSC activation, drives liver disease progression and ultimately, liver cancer. (Kumar et al., 2021) Therefore, understanding key molecular alterations in macrophage-associated inflammation, fibrosis and carcinogenesis is crucial for developing new therapeutic strategies for NAFLD/NASH and NASH-HCC (Figure 2).

FIGURE 2
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FIGURE 2. Macrophage-centered view on the molecular mechanisms implicated in NAFLD and HCC pathogenic pathways. Liver macrophages are involved in virtually all NAFLD and HCC-related pathogenic signaling pathways, giving them a central role of disease course orchestrators, with sometimes contradictory beneficial and detrimental functions. Abbreviations, CCRs, chemokine receptors; DAMPs, damage-associated molecular patterns; EMT: epithelial-mesenchymal transition; HSC, hepatic stellate cell; KC, Kupffer cell; IL, interleukin; MFB, myofibroblast; PAMPs, pathogen-associated molecular patterns; ROS, reactive oxygen species; TLRs, toll-like receptors. Created with BioRender.com.

5.1 Targeting recruitment of monocyte-derived macrophages

The recruitment of MoMFs actively participates in NAFLD/NASH progression, and is largely dependent on an array of chemokine receptors (e.g., CCR2, CCR5, CXCR3). (Tomita et al., 2016; Tacke, 2017; Tacke, 2018) Thus, MoMF recruitment blockade is regarded as a promising therapeutic approach in the management of disease progression.

Intensive studies have suggested targeted chemokine interference as a therapy for NAFLD/NASH. For instance, treatment with C-C chemokine receptor (CCR) antagonists to reduce infiltration of inflammatory leukocytes have been proposed as a therapy for NASH. (Parthasarathy and Malhi, 2021; Zhang and Yang, 2021) Cenicriviroc (CVC) is an oral dual CCR2/CCR5 antagonist, which has shown promising results in murine NAFLD models and was further evaluated in NASH-related clinical trials. (Friedman et al., 2018; Tacke, 2018) The phase IIb clinical trial revealed that the one-year CVC treatment demonstrated improvement in fibrosis and no worsening of NASH compared with placebo. In vitro studies on TGF-β-stimulated primary mouse HSCs indicated that fibrogenic gene signatures could be directly suppressed by CVC. (Kruger et al., 2018) Furthermore, CVC ameliorated insulin resistance, hepatic inflammation, and fibrosis attributed to an efficient inhibition of CCR2+ monocyte recruitment. (Krenkel et al., 2018; Luci et al., 2020) CCR5 inhibition by CVC could hamper the activation, migration and proliferation of HSCs. Of note, Ccl2 was also suggested to be expressed by fibroblasts in the steatotic mouse liver. (Guilliams et al., 2022) CVC treatment is also reported to effectively inhibit the migration of primary mouse MoMFs and lymphocytes (e.g., NK, CD4+ and CD8+ T cells). (Puengel et al., 2017; Huh et al., 2018) However, although both preclinical and phase 2 clinical studies were promising, CVC trials were interrupted in phase 3 due to a lack of efficacy in treating NASH upon a planned interim analysis (AURORA NCT03028740). (Anstee et al., 2020) Nonetheless, recent studies also provided evidence on alternative CCR2 and/or CCR5 inhibitors in NAFLD/NASH murine models that may represent more effective alternatives. The CCR2 inhibitor CCX-872 was shown to attenuate the infiltration of CD11b+CD11c+F4/80+ monocytes into the liver, thus improving glycemic control and liver inflammation, injury and fibrosis in a murine NAFLD model (high-fat/high-fructose diet). (Parker et al., 2018) Alternatively, the CCR5 inhibitor Maraviroc was able to arrest cell proliferation and decrease collagen production in a human HSC line. (Coppola et al., 2018) More recently, the novel dual CCR2/5 inhibitor BMS-687681 was proved to block hepatic infiltration of inflammatory monocytes in murine NASH models. (Puengel et al., 2022b) In addition to CCR2 and CCR5, the effect of chemokine blockade was investigated on several other chemokine axes. Administration of CCX282-B (a CCR9 antagonist) hampered the development of steatohepatitis, making it a promising candidate treatment for NASH patients. (Morikawa et al., 2021) Deactivation of liver CX3CL1/CX3CR1 signaling was shown to dampen NASH progression. (Ni et al., 2022)

CD44 is known as a cell-surface protein mainly expressed by immune cells. Human and experimental data suggest CD44 as a key player in NAFLD to NASH progression. CD44 promotes hepatic macrophage infiltration and polarization towards pro-inflammatory phenotypes, hence CD44-deficient macrophages were prone to polarize to anti-inflammatory phenotypes. Therefore, targeting CD44 may be taken as a potential therapeutic strategy. (Patouraux et al., 2017) In a high-fat diet (HFD) mouse model, IM7 (an anti-CD44 monoclonal antibody) injection suppressed fasting blood glucose levels, weight gain, liver steatosis, and insulin resistance, even superior to metformin and pioglitazone. (Kodama et al., 2015) These studies indicate that interfering with MoMF recruitment exerts promising roles for the prevention of NAFLD/NASH progression.

5.2 Targeting liver macrophage activation in NASH

Several approaches have been investigated for interfering with liver macrophage activation, such as targeting inflammatory signaling pathways like NF-kB, apoptosis signal-regulating kinase 1 (ASK1), JNK, or p38. Promising results showed improvement of steatohepatitis, liver fibrosis and HCC. (Weiskirchen and Tacke, 2016; Tacke, 2017) Selonsertib (an ASK1 inhibitor) treatment has been shown to influence hepatocyte metabolism and macrophage activation. Indeed, Selonsertib was determined to reduce liver fibrosis in NASH patients with advanced fibrosis (stage 2-3) in a randomized phase 2 trial. (Loomba et al., 2018) However, the further phase III clinical trial including more than 800 participants concluded that forty-eight weeks of Selonsertib monotherapy had no antifibrotic effects in NASH patients with bridging fibrosis or cirrhosis. (Harrison et al., 2020) Intriguingly, blockade of NLRP3 inflammasome activation in KCs and MoMFs contributed to the amelioration of NASH, by attenuating hepatic lipid accumulation. (Huang et al., 2021) MCC950 (a NLRP3 selective inhibitor) attenuated IL-1β production through inflammasome suppression, which improved NAFLD pathology and fibrosis in obese diabetic mice. (Mridha et al., 2017) STING functions as a mitochondrial DNA sensor in the KCs of liver under lipid overload and induces NF-κB-dependent inflammation in NASH. (Yu et al., 2019) The Macrophage scavenger receptor 1 (MSR1, CD204), which is overexpressed in hepatic lipid-laden foamy macrophages, plays a critical role in lipid-induced inflammation. (Govaere et al., 2022) The anti-CD163–IgG–dexamethasone strategy was applied on a rat high-fructose NASH model leading to significant reduction of inflammation, hepatocyte ballooning, fibrosis, and glycogen deposition. (Svendsen et al., 2017) E7046 (a PGE2/EP4 antagonist) significantly inhibited HSC autophagy mediated by anti-inflammatory macrophages, thus improving liver fibrosis and histopathology in NAFLD mice. (Cao et al., 2022) According to evidence from animal models, dopamine receptor D2 antagonism promotes liver regeneration over fibrosis, by selectively mediating fibrogenic crosstalk between macrophages and the vascular niche. (Qing et al., 2022) p38α-deficiency in macrophages resulted in attenuated hepatic steatosis, due to reduced secretion of pro-inflammatory cytokines (TNF-α, CXCL10 and IL-6). (Zhang et al., 2019c) Overall, although clinical benefits remain debatable, important links have been established between macrophage activation profiles and NAFLD/NASH progression from multiple preclinical studies.

5.3 Targeting macrophages in HCC

The liver macrophage pool is highly diverse in both pre- and malignant liver diseases. Nonetheless, several TAM-targeting therapies have been investigated. Therapeutic blocking of the CCL2/CCR2 axis counteracts the tumor-induced immunosuppression and leads to the activation of a CD8+ T cell anti-tumor response, attributed to the inhibition of MoMF infiltration and TAM polarization. The results suggest the CCL2/CCR2 antagonist RDC018 as a novel treatment of HCCs. (Li et al., 2017a) CD26/DPP4 was shown to aggravate immunosuppression in liver and adipose tissue via dysregulation of macrophage polarization. Thus, CD26/DPP4 targeting strategies, such as SerpinB3 (a DPP4 inhibitor) may serve as therapeutic approaches for NASH-associated HCC. Myeloid-specific IRE1α deletion results in functional alterations in hepatic macrophages and dampens NASH-HCC development. (Van Campenhout et al., 2020) Inhibiting APOC1 can promote the polarization of TAMs towards inflammatory macrophages via the ferroptosis pathway, thereby restoring an antitumor immune microenvironment and improving anti-PD1 immunotherapy for HCC. (Hao et al., 2022) Serum IgA levels were associated with fibrosis progression and HCC development. In line, in vivo inhibition of IgA signaling decreased the number of tumor-infiltrating IgA+PD-L1high macrophages and increased the infiltration of CD69+CD8+ T cells, eventually leading to anti-tumoral effects in a Cell-Derived tumor Xenograft (CDX, Hepa 1-6 cells) model. (Sung et al., 2022) Apart from selective inhibitors, other families of chemicals/drugs were included in macrophage-related therapeutic HCC studies. Bufalin for instance, suppresses HCC by reversing the polarization of TAMs towards tumor-inhibitory macrophages, activating a T cell-driven anti-tumor immune response. (Yu et al., 2022) Similarly, metformin significantly drive beneficial macrophage polarization and T cell infiltration, which suggests therapeutic effects of metformin on tumor surveillance. (de Oliveira et al., 2019)

6 Concluding remarks

In recent years, in-depth characterization of physiological and pathological mechanisms at the singular cell level led to unprecedented insights into cellular diversity in a complex microenvironment. Consequently, earlier macrophage classification (e.g., the dichotomous M1/M2 paradigm) appear outdated. Indeed, the granularity of recent datasets allowed us to recognize a wide range of diversity, with complementary or opposite roles observed simultaneously in multiple subpopulations. Recent data also emphasized the importance of spatial contextualization, providing crucial hints into the effective functions of defined myeloid subsets. Nevertheless and despite such diversity, numerous studies also highlighted the central roles of liver macrophages as key orchestrators of not only the immune response, but also of disease progression, from initiation to malignancies. Thus, targeted strategies aiming at shaping a specific macrophage landscape, or spatially-resolved interventions aiming at favoring beneficial macrophage populations must be further explored. There is much left to discover on the events marking the transition between a hot, largely pro-inflammatory immune landscape observed during liver disease progression, and a cold tumor immune microenvironment. Thus, therapies should aim at limiting the effects of an over-reacting immune system on one hand, while preventing tumor favorable immunological conditions.

Author contributions

MK, HL and AG drafted the manuscript. HL designed the illustrations. FT provided funding. All authors reviewed, edited and approved the submitted version of the manuscript.

Funding

This work was funded by the German Research Foundation (DFG SFB/TRR 296 and CRC1382, Project-ID 403224013) and the German Ministry of Education and Research (BMBF DEEP-HCC consortium). HL is funded by the China Scholarship Council (CSC) Foundation.

Conflict of interest

FT’s lab received research grants from Gilead, Allergan, Bristol-Myers Squibb and Inventiva. MK, HL, and AG declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

ARG1, Arginase 1; CCA, Cholangiocarcinoma; CD, Cluster of differentiation; ECM, Extracellular matrix; EMT, Epithelial-mesenchymal transition; FAO, Fatty acid oxidation; HCC, Hepatocellular carcinoma; HFD, High fat diet; HGF, Hepatocyte growth factor; HIF-1α, hypoxia-inducible factor-1 alpha; HSC, Hepatic stellate cell; IL, Interleukin; KC, Kupffer cell; MDSC, Myeloid-derived suppressor cell; MerTK, Mer Tyrosine Kinase; MMP, Matrix metalloproteinase; MoMF, Monocyte-derived macrophage; NAFLD, Non-alcoholic fatty liver disease; NASH, Non-alcoholic steatohepatitis; ROS, Reactive oxygen species; SIRPα, Signal-regulatory protein alpha; TAM, Tumor-associated macrophage; TGF-β, Transforming growth factor-beta; TME, Tumor microenvironment; TNF-α, Tumor necrosis factor alpha; TREM, Triggering receptor expressed on myeloid cells.

References

Abou Khouzam, R., Brodaczewska, K., Filipiak, A., Zeinelabdin, N. A., Buart, S., Szczylik, C., et al. (2020). Tumor hypoxia regulates immune escape/invasion: Influence on angiogenesis and potential impact of hypoxic biomarkers on cancer therapies. Front. Immunol. 11, 613114. doi:10.3389/fimmu.2020.613114

PubMed Abstract | CrossRef Full Text | Google Scholar

Affo, S., Yu, L. X., and Schwabe, R. F. (2017). The role of cancer-associated fibroblasts and fibrosis in liver cancer. Annu. Rev. Pathol. 12, 153–186. doi:10.1146/annurev-pathol-052016-100322

PubMed Abstract | CrossRef Full Text | Google Scholar

Al-Khami, A. A., Zheng, L., Del Valle, L., Hossain, F., Wyczechowska, D., Zabaleta, J., et al. (2017). Exogenous lipid uptake induces metabolic and functional reprogramming of tumor-associated myeloid-derived suppressor cells. Oncoimmunology 6, e1344804. doi:10.1080/2162402X.2017.1344804

PubMed Abstract | CrossRef Full Text | Google Scholar

Alexander, J., Torbenson, M., Wu, T. T., and Yeh, M. M. (2013). Non-alcoholic fatty liver disease contributes to hepatocarcinogenesis in non-cirrhotic liver: A clinical and pathological study. J. Gastroenterol. Hepatol. 28, 848–854. doi:10.1111/jgh.12116

PubMed Abstract | CrossRef Full Text | Google Scholar

Allavena, P., Chieppa, M., Bianchi, G., Solinas, G., Fabbri, M., Laskarin, G., et al. (2010). Engagement of the mannose receptor by tumoral mucins activates an immune suppressive phenotype in human tumor-associated macrophages. Clin. Dev. Immunol. 2010, 547179. doi:10.1155/2010/547179

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, N. M., and Simon, M. C. (2020). The tumor microenvironment. Curr. Biol. 30, R921–R925. doi:10.1016/j.cub.2020.06.081

PubMed Abstract | CrossRef Full Text | Google Scholar

Anstee, Q. M., Neuschwander-Tetri, B. A., Wong, V. W., Abdelmalek, M. F., Younossi, Z. M., Yuan, J., et al. (2020). Cenicriviroc for the treatment of liver fibrosis in adults with nonalcoholic steatohepatitis: AURORA phase 3 study design. Contemp. Clin. Trials 89, 105922. doi:10.1016/j.cct.2019.105922

PubMed Abstract | CrossRef Full Text | Google Scholar

Arvanitakis, K., Koletsa, T., Mitroulis, I., and Germanidis, G. (2022). Tumor-associated macrophages in hepatocellular carcinoma pathogenesis, prognosis and therapy. Cancers (Basel) 14, 226. doi:10.3390/cancers14010226

PubMed Abstract | CrossRef Full Text | Google Scholar

Balkwill, F. (2004). Cancer and the chemokine network. Nat. Rev. Cancer 4, 540–550. doi:10.1038/nrc1388

PubMed Abstract | CrossRef Full Text | Google Scholar

Banales, J. M., Marin, J. J. G., Lamarca, A., Rodrigues, P. M., Khan, S. A., Roberts, L. R., et al. (2020). Cholangiocarcinoma 2020: The next horizon in mechanisms and management. Nat. Rev. Gastroenterol. Hepatol. 17, 557–588. doi:10.1038/s41575-020-0310-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Barron, L., and Wynn, T. A. (2011). Fibrosis is regulated by Th2 and Th17 responses and by dynamic interactions between fibroblasts and macrophages. Am. J. Physiol. Gastrointest. Liver Physiol. 300, G723–G728. doi:10.1152/ajpgi.00414.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartneck, M., Schrammen, P. L., Mockel, D., Govaere, O., Liepelt, A., Krenkel, O., et al. (2019). The CCR2(+) macrophage subset promotes pathogenic angiogenesis for tumor vascularization in fibrotic livers. Cell Mol. Gastroenterol. Hepatol. 7, 371–390. doi:10.1016/j.jcmgh.2018.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Bertolino, P., Heath, W. R., Hardy, C. L., Morahan, G., and Miller, J. F. (1995). Peripheral deletion of autoreactive CD8+ T cells in transgenic mice expressing H-2Kb in the liver. Eur. J. Immunol. 25, 1932–1942. doi:10.1002/eji.1830250721

PubMed Abstract | CrossRef Full Text | Google Scholar

Bieghs, V., Verheyen, F., van Gorp, P. J., Hendrikx, T., Wouters, K., Lutjohann, D., et al. (2012). Internalization of modified lipids by CD36 and SR-A leads to hepatic inflammation and lysosomal cholesterol storage in Kupffer cells. PLoS One 7, e34378. doi:10.1371/journal.pone.0034378

PubMed Abstract | CrossRef Full Text | Google Scholar

Binnewies, M., Pollack, J. L., Rudolph, J., Dash, S., Abushawish, M., Lee, T., et al. (2021). Targeting TREM2 on tumor-associated macrophages enhances immunotherapy. Cell Rep. 37, 109844. doi:10.1016/j.celrep.2021.109844

PubMed Abstract | CrossRef Full Text | Google Scholar

Binnewies, M., Roberts, E. W., Kersten, K., Chan, V., Fearon, D. F., Merad, M., et al. (2018). Understanding the tumor immune microenvironment (TIME) for effective therapy. Nat. Med. 24, 541–550. doi:10.1038/s41591-018-0014-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Biswas, S. K., and Mantovani, A. (2010). Macrophage plasticity and interaction with lymphocyte subsets: Cancer as a paradigm. Nat. Immunol. 11, 889–896. doi:10.1038/ni.1937

PubMed Abstract | CrossRef Full Text | Google Scholar

Bleriot, C., Barreby, E., Dunsmore, G., Ballaire, R., Chakarov, S., Ficht, X., et al. (2021). A subset of Kupffer cells regulates metabolism through the expression of CD36. Immunity 54, 2101–2116.e6. doi:10.1016/j.immuni.2021.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Bogdanos, D. P., Gao, B., and Gershwin, M. E. (2013). Liver immunology. Compr. Physiol. 3, 567–598. doi:10.1002/cphy.c120011

PubMed Abstract | CrossRef Full Text | Google Scholar

Bogdanov, A., Bogdanov, A., Chubenko, V., Volkov, N., Moiseenko, F., and Moiseyenko, V. (2022). Tumor acidity: From hallmark of cancer to target of treatment. Front. Oncol. 12, 979154. doi:10.3389/fonc.2022.979154

PubMed Abstract | CrossRef Full Text | Google Scholar

Broadfield, L. A., Pane, A. A., Talebi, A., Swinnen, J. V., and Fendt, S. M. (2021). Lipid metabolism in cancer: New perspectives and emerging mechanisms. Dev. Cell 56, 1363–1393. doi:10.1016/j.devcel.2021.04.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Bronte, V., Brandau, S., Chen, S. H., Colombo, M. P., Frey, A. B., Greten, T. F., et al. (2016). Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards. Nat. Commun. 7, 12150. doi:10.1038/ncomms12150

PubMed Abstract | CrossRef Full Text | Google Scholar

Byun, J. S., and Gardner, K. (2013). Wounds that will not heal: Pervasive cellular reprogramming in cancer. Am. J. Pathol. 182, 1055–1064. doi:10.1016/j.ajpath.2013.01.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, B., Dongiovanni, P., Corey, K. E., Wang, X., Shmarakov, I. O., Zheng, Z., et al. (2020). Macrophage MerTK promotes liver fibrosis in nonalcoholic steatohepatitis. Cell Metab. 31, 406–421. doi:10.1016/j.cmet.2019.11.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Calderaro, J., Rousseau, B., Amaddeo, G., Mercey, M., Charpy, C., Costentin, C., et al. (2016). Programmed death ligand 1 expression in hepatocellular carcinoma: Relationship with clinical and pathological features. Hepatology 64, 2038–2046. doi:10.1002/hep.28710

PubMed Abstract | CrossRef Full Text | Google Scholar

Campana, L., Starkey Lewis, P. J., Pellicoro, A., Aucott, R. L., Man, J., O'Duibhir, E., et al. (2018). The STAT3-IL-10-IL-6 pathway is a novel regulator of macrophage efferocytosis and phenotypic conversion in sterile liver injury. J. Immunol. 200, 1169–1187. doi:10.4049/jimmunol.1701247

PubMed Abstract | CrossRef Full Text | Google Scholar

Canton, J., Neculai, D., and Grinstein, S. (2013). Scavenger receptors in homeostasis and immunity. Nat. Rev. Immunol. 13, 621–634. doi:10.1038/nri3515

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, Y., Mai, W., Li, R., Deng, S., Li, L., Zhou, Y., et al. (2022). Macrophages evoke autophagy of hepatic stellate cells to promote liver fibrosis in NAFLD mice via the PGE2/EP4 pathway. Cell Mol. Life Sci. 79, 303. doi:10.1007/s00018-022-04319-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Cassetta, L., Fragkogianni, S., Sims, A. H., Swierczak, A., Forrester, L. M., Zhang, H., et al. (2019). Human tumor-associated macrophage and monocyte transcriptional landscapes reveal cancer-specific reprogramming, biomarkers, and therapeutic targets. Cancer Cell 35, 588–602. doi:10.1016/j.ccell.2019.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, J., Zheng, D. X., Yu, X. J., Sun, H. W., Xu, Y. T., Zhang, Y. J., et al. (2019a). Macrophages induce CD47 upregulation via IL-6 and correlate with poor survival in hepatocellular carcinoma patients. Oncoimmunology 8, e1652540. doi:10.1080/2162402X.2019.1652540

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Wen, H., Zhou, C., Su, Q., Lin, Y., Xie, Y., et al. (2019b). TNF-α derived from M2 tumor-associated macrophages promotes epithelial-mesenchymal transition and cancer stemness through the Wnt/β-catenin pathway in SMMC-7721 hepatocellular carcinoma cells. Exp. Cell Res. 378, 41–50. doi:10.1016/j.yexcr.2019.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, D., Chai, J., Wang, H., Fu, L., Peng, S., and Ni, X. (2021). Hepatic macrophages: Key players in the development and progression of liver fibrosis. Liver Int. 41, 2279–2294. doi:10.1111/liv.14940

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheong, J. E., and Sun, L. (2018). Targeting the Ido1/TDO2-KYN-AhR pathway for cancer immunotherapy - challenges and opportunities. Trends Pharmacol. Sci. 39, 307–325. doi:10.1016/j.tips.2017.11.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Christofides, A., Strauss, L., Yeo, A., Cao, C., Charest, A., and Boussiotis, V. A. (2022). The complex role of tumor-infiltrating macrophages. Nat. Immunol. 23, 1148–1156. doi:10.1038/s41590-022-01267-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Coffelt, S. B., Tal, A. O., Scholz, A., De Palma, M., Patel, S., Urbich, C., et al. (2010). Angiopoietin-2 regulates gene expression in TIE2-expressing monocytes and augments their inherent proangiogenic functions. Cancer Res. 70, 5270–5280. doi:10.1158/0008-5472.CAN-10-0012

PubMed Abstract | CrossRef Full Text | Google Scholar

Colegio, O. R., Chu, N. Q., Szabo, A. L., Chu, T., Rhebergen, A. M., Jairam, V., et al. (2014). Functional polarization of tumour-associated macrophages by tumour-derived lactic acid. Nature 513, 559–563. doi:10.1038/nature13490

PubMed Abstract | CrossRef Full Text | Google Scholar

Colonna, M. (2003). TREMs in the immune system and beyond. Nat. Rev. Immunol. 3, 445–453. doi:10.1038/nri1106

PubMed Abstract | CrossRef Full Text | Google Scholar

Coppola, N., Perna, A., Lucariello, A., Martini, S., Macera, M., Carleo, M. A., et al. (2018). Effects of treatment with Maraviroc a CCR5 inhibitor on a human hepatic stellate cell line. J. Cell Physiol. 233, 6224–6231. doi:10.1002/jcp.26485

PubMed Abstract | CrossRef Full Text | Google Scholar

David, B. A., Rezende, R. M., Antunes, M. M., Santos, M. M., Freitas Lopes, M. A., Diniz, A. B., et al. (2016). Combination of mass cytometry and imaging analysis reveals origin, location, and functional repopulation of liver myeloid cells in mice. Gastroenterology 151, 1176–1191. doi:10.1053/j.gastro.2016.08.024

PubMed Abstract | CrossRef Full Text | Google Scholar

de Oliveira, S., Houseright, R. A., Graves, A. L., Golenberg, N., Korte, B. G., Miskolci, V., et al. (2019). Metformin modulates innate immune-mediated inflammation and early progression of NAFLD-associated hepatocellular carcinoma in zebrafish. J. Hepatol. 70, 710–721. doi:10.1016/j.jhep.2018.11.034

PubMed Abstract | CrossRef Full Text | Google Scholar

De Palma, M., Venneri, M. A., Galli, R., Sergi Sergi, L., Politi, L. S., Sampaolesi, M., et al. (2005). Tie2 identifies a hematopoietic lineage of proangiogenic monocytes required for tumor vessel formation and a mesenchymal population of pericyte progenitors. Cancer Cell 8, 211–226. doi:10.1016/j.ccr.2005.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

de-Brito, N. M., Duncan-Moretti, J., da-Costa, H. C., Saldanha-Gama, R., Paula-Neto, H. A., Dorighello, G. G., et al. (2020). Aerobic glycolysis is a metabolic requirement to maintain the M2-like polarization of tumor-associated macrophages. Biochim. Biophys. Acta Mol. Cell Res. 1867, 118604. doi:10.1016/j.bbamcr.2019.118604

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, T., Xu, J., Wang, F., Shi, M., Zhang, Y., Li, S. P., et al. (2009). High tumor-infiltrating macrophage density predicts poor prognosis in patients with primary hepatocellular carcinoma after resection. Hum. Pathol. 40, 381–389. doi:10.1016/j.humpath.2008.08.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, W., Tan, Y., Qian, Y., Xue, W., Wang, Y., Jiang, P., et al. (2019). Clinicopathologic and prognostic significance of tumor-associated macrophages in patients with hepatocellular carcinoma: A meta-analysis. PLoS One 14, e0223971. doi:10.1371/journal.pone.0223971

PubMed Abstract | CrossRef Full Text | Google Scholar

Dituri, F., Mancarella, S., Cigliano, A., Chieti, A., and Giannelli, G. (2019). TGF-Beta as multifaceted orchestrator in HCC progression: Signaling, EMT, immune microenvironment, and novel therapeutic perspectives. Semin. Liver Dis. 39, 53–69. doi:10.1055/s-0038-1676121

PubMed Abstract | CrossRef Full Text | Google Scholar

Donadon, M., Torzilli, G., Cortese, N., Soldani, C., Di Tommaso, L., Franceschini, B., et al. (2020). Macrophage morphology correlates with single-cell diversity and prognosis in colorectal liver metastasis. J. Exp. Med. 217, e20191847. doi:10.1084/jem.20191847

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, N., Shi, X., Wang, S., Gao, Y., Kuang, Z., Xie, Q., et al. (2019). M2 macrophages mediate sorafenib resistance by secreting HGF in a feed-forward manner in hepatocellular carcinoma. Br. J. Cancer 121, 22–33. doi:10.1038/s41416-019-0482-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dudek, M., Pfister, D., Donakonda, S., Filpe, P., Schneider, A., Laschinger, M., et al. (2021). Auto-aggressive CXCR6(+) CD8 T cells cause liver immune pathology in NASH. Nature 592, 444–449. doi:10.1038/s41586-021-03233-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Eggert, T., Wolter, K., Ji, J., Ma, C., Yevsa, T., Klotz, S., et al. (2016). Distinct functions of senescence-associated immune responses in liver tumor surveillance and tumor progression. Cancer Cell 30, 533–547. doi:10.1016/j.ccell.2016.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Ehling, J., and Tacke, F. (2016). Role of chemokine pathways in hepatobiliary cancer. Cancer Lett. 379, 173–183. doi:10.1016/j.canlet.2015.06.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Fabregat, I., and Caballero-Diaz, D. (2018). Transforming growth factor-beta-induced cell plasticity in liver fibrosis and hepatocarcinogenesis. Front. Oncol. 8, 357. doi:10.3389/fonc.2018.00357

PubMed Abstract | CrossRef Full Text | Google Scholar

Fan, Q. M., Jing, Y. Y., Yu, G. F., Kou, X. R., Ye, F., Gao, L., et al. (2014). Tumor-associated macrophages promote cancer stem cell-like properties via transforming growth factor-beta1-induced epithelial-mesenchymal transition in hepatocellular carcinoma. Cancer Lett. 352, 160–168. doi:10.1016/j.canlet.2014.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Fang, J. H., Zhou, H. C., Zhang, C., Shang, L. R., Zhang, L., Xu, J., et al. (2015). A novel vascular pattern promotes metastasis of hepatocellular carcinoma in an epithelial-mesenchymal transition-independent manner. Hepatology 62, 452–465. doi:10.1002/hep.27760

PubMed Abstract | CrossRef Full Text | Google Scholar

Filliol, A., Saito, Y., Nair, A., Dapito, D. H., Yu, L. X., Ravichandra, A., et al. (2022). Opposing roles of hepatic stellate cell subpopulations in hepatocarcinogenesis. Nature 610, 356–365. doi:10.1038/s41586-022-05289-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Finn, R. S., Qin, S., Ikeda, M., Galle, P. R., Ducreux, M., Kim, T. Y., et al. (2020). Atezolizumab plus Bevacizumab in unresectable hepatocellular carcinoma. N. Engl. J. Med. 382, 1894–1905. doi:10.1056/NEJMoa1915745

PubMed Abstract | CrossRef Full Text | Google Scholar

Forner, A., Llovet, J. M., and Bruix, J. (2012). Hepatocellular carcinoma. Lancet 379, 1245–1255. doi:10.1016/S0140-6736(11)61347-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Forssell, J., Oberg, A., Henriksson, M. L., Stenling, R., Jung, A., and Palmqvist, R. (2007). High macrophage infiltration along the tumor front correlates with improved survival in colon cancer. Clin. Cancer Res. 13, 1472–1479. doi:10.1158/1078-0432.CCR-06-2073

PubMed Abstract | CrossRef Full Text | Google Scholar

Freemerman, A. J., Johnson, A. R., Sacks, G. N., Milner, J. J., Kirk, E. L., Troester, M. A., et al. (2014). Metabolic reprogramming of macrophages: Glucose transporter 1 (GLUT1)-mediated glucose metabolism drives a proinflammatory phenotype. J. Biol. Chem. 289, 7884–7896. doi:10.1074/jbc.M113.522037

PubMed Abstract | CrossRef Full Text | Google Scholar

Friedman, S. L., Ratziu, V., Harrison, S. A., Abdelmalek, M. F., Aithal, G. P., Caballeria, J., et al. (2018). A randomized, placebo-controlled trial of cenicriviroc for treatment of nonalcoholic steatohepatitis with fibrosis. Hepatology 67, 1754–1767. doi:10.1002/hep.29477

PubMed Abstract | CrossRef Full Text | Google Scholar

Ganesh, K., and Massague, J. (2021). Targeting metastatic cancer. Nat. Med. 27, 34–44. doi:10.1038/s41591-020-01195-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Gasmi, I., Machou, C., Rodrigues, A., Brouillet, A., Nguyen, T. C., Rousseau, B., et al. (2022). Interleukin-17 programs liver progenitor cell transformation into cancer stem cells through miR-122 downregulation with increased risk of primary liver cancer initiation. Int. J. Biol. Sci. 18, 1944–1960. doi:10.7150/ijbs.70408

PubMed Abstract | CrossRef Full Text | Google Scholar

Gieseck, R. L., Wilson, M. S., and Wynn, T. A. (2018). Type 2 immunity in tissue repair and fibrosis. Nat. Rev. Immunol. 18, 62–76. doi:10.1038/nri.2017.90

PubMed Abstract | CrossRef Full Text | Google Scholar

Gola, A., Dorrington, M. G., Speranza, E., Sala, C., Shih, R. M., Radtke, A. J., et al. (2021). Commensal-driven immune zonation of the liver promotes host defence. Nature 589, 131–136. doi:10.1038/s41586-020-2977-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Gordon, S. R., Maute, R. L., Dulken, B. W., Hutter, G., George, B. M., McCracken, M. N., et al. (2017). PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity. Nature 545, 495–499. doi:10.1038/nature22396

PubMed Abstract | CrossRef Full Text | Google Scholar

Govaere, O., Petersen, S. K., Martinez-Lopez, N., Wouters, J., Van Haele, M., Mancina, R. M., et al. (2022). Macrophage scavenger receptor 1 mediates lipid-induced inflammation in non-alcoholic fatty liver disease. J. Hepatol. 76, 1001–1012. doi:10.1016/j.jhep.2021.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Greten, F. R., and Grivennikov, S. I. (2019). Inflammation and cancer: Triggers, mechanisms, and consequences. Immunity 51, 27–41. doi:10.1016/j.immuni.2019.06.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Grivennikov, S. I., Wang, K., Mucida, D., Stewart, C. A., Schnabl, B., Jauch, D., et al. (2012). Adenoma-linked barrier defects and microbial products drive IL-23/IL-17-mediated tumour growth. Nature 491, 254–258. doi:10.1038/nature11465

PubMed Abstract | CrossRef Full Text | Google Scholar

Grohmann, M., Wiede, F., Dodd, G. T., Gurzov, E. N., Ooi, G. J., Butt, T., et al. (2018). Obesity drives STAT-1-dependent NASH and STAT-3-dependent HCC. Cell 175, 1289–1306. doi:10.1016/j.cell.2018.09.053

PubMed Abstract | CrossRef Full Text | Google Scholar

Guilliams, M., Bonnardel, J., Haest, B., Vanderborght, B., Wagner, C., Remmerie, A., et al. (2022). Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches. Cell 185, 379–396.e38. doi:10.1016/j.cell.2021.12.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Guilliams, M., Mildner, A., and Yona, S. (2018). Developmental and functional heterogeneity of monocytes. Immunity 49, 595–613. doi:10.1016/j.immuni.2018.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Guillot, A., Guerri, L., Feng, D., Kim, S. J., Ahmed, Y. A., Paloczi, J., et al. (2021). Bile acid-activated macrophages promote biliary epithelial cell proliferation through integrin alphavbeta6 upregulation following liver injury. J. Clin. Invest, 131.

Google Scholar

Guillot, A., Hamdaoui, N., Bizy, A., Zoltani, K., Souktani, R., Zafrani, E. S., et al. (2014). Cannabinoid receptor 2 counteracts interleukin-17-induced immune and fibrogenic responses in mouse liver. Hepatology 59, 296–306. doi:10.1002/hep.26598

PubMed Abstract | CrossRef Full Text | Google Scholar

Guillot, A., Kohlhepp, M. S., Bruneau, A., Heymann, F., and Tacke, F. (2020). Deciphering the Immune Microenvironment on A Single Archival Formalin-Fixed Paraffin-Embedded Tissue Section by An Immediately Implementable Multiplex Fluorescence Immunostaining Protocol, 12.Cancers (Basel)

CrossRef Full Text

Guillot, A., Winkler, M., Silva Afonso, M., Aggarwal, A., Lopez, D., Berger, H., et al. (2023). Mapping the hepatic immune landscape identifies monocytic macrophages as key drivers of steatohepatitis and cholangiopathy progression. Hepatology 13. doi:10.1097/HEP.0000000000000270

CrossRef Full Text | Google Scholar

Guo, M., Hartlova, A., Gierlinski, M., Prescott, A., Castellvi, J., Losa, J. H., et al. (2019). Triggering MSR1 promotes JNK-mediated inflammation in IL-4-activated macrophages. EMBO J. 38, e100299. doi:10.15252/embj.2018100299

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanahan, D. (2022). Hallmarks of cancer: New dimensions. Cancer Discov. 12, 31–46. doi:10.1158/2159-8290.CD-21-1059

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanahan, D., and Weinberg, R. A. (2011). Hallmarks of cancer: The next generation. Cell 144, 646–674. doi:10.1016/j.cell.2011.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Hao, X., Zheng, Z., Liu, H., Zhang, Y., Kang, J., Kong, X., et al. (2022). Inhibition of APOC1 promotes the transformation of M2 into M1 macrophages via the ferroptosis pathway and enhances anti-PD1 immunotherapy in hepatocellular carcinoma based on single-cell RNA sequencing. Redox Biol. 56, 102463. doi:10.1016/j.redox.2022.102463

PubMed Abstract | CrossRef Full Text | Google Scholar

Harrison, S. A., Wong, V. W., Okanoue, T., Bzowej, N., Vuppalanchi, R., Younes, Z., et al. (2020). Selonsertib for patients with bridging fibrosis or compensated cirrhosis due to NASH: Results from randomized phase III STELLAR trials. J. Hepatol. 73, 26–39. doi:10.1016/j.jhep.2020.02.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Harzenetter, M. D., Novotny, A. R., Gais, P., Molina, C. A., Altmayr, F., and Holzmann, B. (2007). Negative regulation of TLR responses by the neuropeptide CGRP is mediated by the transcriptional repressor ICER. J. Immunol. 179, 607–615. doi:10.4049/jimmunol.179.1.607

PubMed Abstract | CrossRef Full Text | Google Scholar

He, Q., Liu, M., Huang, W., Chen, X., Zhang, B., Zhang, T., et al. (2021). IL-1β-Induced elevation of solute carrier family 7 member 11 promotes hepatocellular carcinoma metastasis through up-regulating programmed death ligand 1 and colony-stimulating factor 1. Hepatology 74, 3174–3193. doi:10.1002/hep.32062

PubMed Abstract | CrossRef Full Text | Google Scholar

Hendrikx, T., Porsch, F., Kiss, M. G., Rajcic, D., Papac-Milicevic, N., Hoebinger, C., et al. (2022). Soluble TREM2 levels reflect the recruitment and expansion of TREM2(+) macrophages that localize to fibrotic areas and limit NASH. J. Hepatol. 77, 1373–1385. doi:10.1016/j.jhep.2022.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Heredia, J. E., Sorenson, C., Flanagan, S., Nunez, V., Jones, C., Martzall, A., et al. (2022). IL-23 signaling is not an important driver of liver inflammation and fibrosis in murine non-alcoholic steatohepatitis models. PLoS One 17, e0274582. doi:10.1371/journal.pone.0274582

PubMed Abstract | CrossRef Full Text | Google Scholar

Heymann, F., Peusquens, J., Ludwig-Portugall, I., Kohlhepp, M., Ergen, C., Niemietz, P., et al. (2015). Liver inflammation abrogates immunological tolerance induced by Kupffer cells. Hepatology 62, 279–291. doi:10.1002/hep.27793

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoch, T., Schulz, D., Eling, N., Gomez, J. M., Levesque, M. P., and Bodenmiller, B. (2022). Multiplexed imaging mass cytometry of the chemokine milieus in melanoma characterizes features of the response to immunotherapy. Sci. Immunol. 7, eabk1692. doi:10.1126/sciimmunol.abk1692

PubMed Abstract | CrossRef Full Text | Google Scholar

Hochst, B., Schildberg, F. A., Sauerborn, P., Gabel, Y. A., Gevensleben, H., Goltz, D., et al. (2013). Activated human hepatic stellate cells induce myeloid derived suppressor cells from peripheral blood monocytes in a CD44-dependent fashion. J. Hepatol. 59, 528–535. doi:10.1016/j.jhep.2013.04.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, L., Soldevila, G., Leeker, M., Flavell, R., and Crispe, I. N. (1994). The liver eliminates T cells undergoing antigen-triggered apoptosis in vivo. Immunity 1, 741–749. doi:10.1016/s1074-7613(94)80016-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, S., Wu, Y., Zhao, Z., Wu, B., Sun, K., Wang, H., et al. (2021). A new mechanism of obeticholic acid on NASH treatment by inhibiting NLRP3 inflammasome activation in macrophage. Metabolism 120, 154797. doi:10.1016/j.metabol.2021.154797

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, T., Song, X., Xu, D., Tiek, D., Goenka, A., Wu, B., et al. (2020). Stem cell programs in cancer initiation, progression, and therapy resistance. Theranostics 10, 8721–8743. doi:10.7150/thno.41648

PubMed Abstract | CrossRef Full Text | Google Scholar

Huh, J. H., Kim, H. M., Lee, E. S., Kwon, M. H., Lee, B. R., Ko, H. J., et al. (2018). Dual CCR2/5 antagonist attenuates obesity-induced insulin resistance by regulating macrophage recruitment and M1/M2 status. Obes. (Silver Spring) 26, 378–386. doi:10.1002/oby.22103

CrossRef Full Text | Google Scholar

Hundertmark, J., Berger, H., and Tacke, F. (2022). Single cell RNA sequencing in NASH. Methods Mol. Biol. 2455, 181–202. doi:10.1007/978-1-0716-2128-8_15

PubMed Abstract | CrossRef Full Text | Google Scholar

Hynes, R. O. (2009). The extracellular matrix: Not just pretty fibrils. Science 326, 1216–1219. doi:10.1126/science.1176009

PubMed Abstract | CrossRef Full Text | Google Scholar

Ioannou, G. N. (2021). Epidemiology and risk-stratification of NAFLD-associated HCC. J. Hepatol. 75, 1476–1484. doi:10.1016/j.jhep.2021.08.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaitin, D. A., Adlung, L., Thaiss, C. A., Weiner, A., Li, B., Descamps, H., et al. (2019). Lipid-associated macrophages control metabolic homeostasis in a trem2-dependent manner. Cell 178, 686–698. doi:10.1016/j.cell.2019.05.054

PubMed Abstract | CrossRef Full Text | Google Scholar

Ji, J., Eggert, T., Budhu, A., Forgues, M., Takai, A., Dang, H., et al. (2015). Hepatic stellate cell and monocyte interaction contributes to poor prognosis in hepatocellular carcinoma. Hepatology 62, 481–495. doi:10.1002/hep.27822

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnston, R. J., Su, L. J., Pinckney, J., Critton, D., Boyer, E., Krishnakumar, A., et al. (2019). VISTA is an acidic pH-selective ligand for PSGL-1. Nature 574, 565–570. doi:10.1038/s41586-019-1674-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Jourdan, T., Nicoloro, S. M., Zhou, Z., Shen, Y., Liu, J., Coffey, N. J., et al. (2017). Decreasing CB(1) receptor signaling in Kupffer cells improves insulin sensitivity in obese mice. Mol. Metab. 6, 1517–1528. doi:10.1016/j.molmet.2017.08.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, T. W., Yevsa, T., Woller, N., Hoenicke, L., Wuestefeld, T., Dauch, D., et al. (2011). Senescence surveillance of pre-malignant hepatocytes limits liver cancer development. Nature 479, 547–551. doi:10.1038/nature10599

PubMed Abstract | CrossRef Full Text | Google Scholar

Katzenelenbogen, Y., Sheban, F., Yalin, A., Yofe, I., Svetlichnyy, D., Jaitin, D. A., et al. (2020). Coupled scRNA-seq and intracellular protein activity reveal an immunosuppressive role of TREM2 in cancer. Cell 182, 872–885. doi:10.1016/j.cell.2020.06.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessenbrock, K., Plaks, V., and Werb, Z. (2010). Matrix metalloproteinases: Regulators of the tumor microenvironment. Cell 141, 52–67. doi:10.1016/j.cell.2010.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S., Takahashi, H., Lin, W. W., Descargues, P., Grivennikov, S., Kim, Y., et al. (2009). Carcinoma-produced factors activate myeloid cells through TLR2 to stimulate metastasis. Nature 457, 102–106. doi:10.1038/nature07623

PubMed Abstract | CrossRef Full Text | Google Scholar

Knolle, P., Schlaak, J., Uhrig, A., Kempf, P., Meyer, Z., Buschenfelde, K. H., et al. (1995). Human Kupffer cells secrete IL-10 in response to lipopolysaccharide (LPS) challenge. J. Hepatol. 22, 226–229. doi:10.1016/0168-8278(95)80433-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Knorr, J., Wree, A., Tacke, F., and Feldstein, A. E. (2020). The NLRP3 inflammasome in alcoholic and nonalcoholic steatohepatitis. Semin. Liver Dis. 40, 298–306. doi:10.1055/s-0040-1708540

PubMed Abstract | CrossRef Full Text | Google Scholar

Kodama, K., Toda, K., Morinaga, S., Yamada, S., and Butte, A. J. (2015). Anti-CD44 antibody treatment lowers hyperglycemia and improves insulin resistance, adipose inflammation, and hepatic steatosis in diet-induced obese mice. Diabetes 64, 867–875. doi:10.2337/db14-0149

PubMed Abstract | CrossRef Full Text | Google Scholar

Krenkel, O., Hundertmark, J., Abdallah, A. T., Kohlhepp, M., Puengel, T., Roth, T., et al. (2020). Myeloid cells in liver and bone marrow acquire a functionally distinct inflammatory phenotype during obesity-related steatohepatitis. Gut 69, 551–563. doi:10.1136/gutjnl-2019-318382

PubMed Abstract | CrossRef Full Text | Google Scholar

Krenkel, O., Hundertmark, J., Ritz, T. P., Weiskirchen, R., and Tacke, F. (2019). Single cell RNA sequencing identifies subsets of hepatic stellate cells and myofibroblasts in liver fibrosis. Cells 8, 503. doi:10.3390/cells8050503

PubMed Abstract | CrossRef Full Text | Google Scholar

Krenkel, O., Puengel, T., Govaere, O., Abdallah, A. T., Mossanen, J. C., Kohlhepp, M., et al. (2018). Therapeutic inhibition of inflammatory monocyte recruitment reduces steatohepatitis and liver fibrosis. Hepatology 67, 1270–1283. doi:10.1002/hep.29544

PubMed Abstract | CrossRef Full Text | Google Scholar

Krenkel, O., and Tacke, F. (2017). Liver macrophages in tissue homeostasis and disease. Nat. Rev. Immunol. 17, 306–321. doi:10.1038/nri.2017.11

PubMed Abstract | CrossRef Full Text | Google Scholar

Kruger, A. J., Fuchs, B. C., Masia, R., Holmes, J. A., Salloum, S., Sojoodi, M., et al. (2018). Prolonged cenicriviroc therapy reduces hepatic fibrosis despite steatohepatitis in a diet-induced mouse model of nonalcoholic steatohepatitis. Hepatol. Commun. 2, 529–545. doi:10.1002/hep4.1160

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuang, D. M., Zhao, Q., Peng, C., Xu, J., Zhang, J. P., Wu, C., et al. (2009). Activated monocytes in peritumoral stroma of hepatocellular carcinoma foster immune privilege and disease progression through PD-L1. J. Exp. Med. 206, 1327–1337. doi:10.1084/jem.20082173

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, V., Xin, X., Ma, J., Tan, C., Osna, N., and Mahato, R. I. (2021). Therapeutic targets, novel drugs, and delivery systems for diabetes associated NAFLD and liver fibrosis. Adv. Drug Deliv. Rev. 176, 113888. doi:10.1016/j.addr.2021.113888

PubMed Abstract | CrossRef Full Text | Google Scholar

Lazaratos, A. M., Annis, M. G., and Siegel, P. M. (2022). Gpnmb: A potent inducer of immunosuppression in cancer. Oncogene 41, 4573–4590. doi:10.1038/s41388-022-02443-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Lecoultre, M., Dutoit, V., and Walker, P. R. (2020). Phagocytic function of tumor-associated macrophages as a key determinant of tumor progression control: A review. J. Immunother. Cancer 8, e001408. doi:10.1136/jitc-2020-001408

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, J., Kim, C. M., Cha, J. H., Park, J. Y., Yu, Y. S., Wang, H. J., et al. (2022). Multiplexed digital spatial protein profiling reveals distinct phenotypes of mononuclear phagocytes in livers with advanced fibrosis. Cells 11, 3387. doi:10.3390/cells11213387

PubMed Abstract | CrossRef Full Text | Google Scholar

Lei, L., Bruneau, A., El Mourabit, H., Guegan, J., Folseraas, T., Lemoinne, S., et al. (2022). Portal fibroblasts with mesenchymal stem cell features form a reservoir of proliferative myofibroblasts in liver fibrosis. Hepatology 76, 1360–1375. doi:10.1002/hep.32456

PubMed Abstract | CrossRef Full Text | Google Scholar

Levental, K. R., Yu, H., Kass, L., Lakins, J. N., Egeblad, M., Erler, J. T., et al. (2009). Matrix crosslinking forces tumor progression by enhancing integrin signaling. Cell 139, 891–906. doi:10.1016/j.cell.2009.10.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J. Q., Yu, X. J., Wang, Y. C., Huang, L. Y., Liu, C. Q., Zheng, L., et al. (2017b). Distinct patterns and prognostic values of tumor-infiltrating macrophages in hepatocellular carcinoma and gastric cancer. J. Transl. Med. 15, 37. doi:10.1186/s12967-017-1139-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, N., Yamamoto, G., Fuji, H., and Kisseleva, T. (2021). Interleukin-17 in liver disease pathogenesis. Semin. Liver Dis. 41, 507–515. doi:10.1055/s-0041-1730926

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, X., Chen, L., Peng, X., and Zhan, X. (2022). Progress of tumor-associated macrophages in the epithelial-mesenchymal transition of tumor. Front. Oncol. 12, 911410. doi:10.3389/fonc.2022.911410

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, X., Yao, W., Yuan, Y., Chen, P., Li, B., Li, J., et al. (2017a). Targeting of tumour-infiltrating macrophages via CCL2/CCR2 signalling as a therapeutic strategy against hepatocellular carcinoma. Gut 66, 157–167. doi:10.1136/gutjnl-2015-310514

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, K. H., Lai, M. W., Lin, Y. H., Chu, Y. D., Lin, C. L., Lin, W. R., et al. (2021). Plasma interleukin-17 and alpha-fetoprotein combination effectively predicts imminent hepatocellular carcinoma occurrence in liver cirrhotic patients. BMC Gastroenterol. 21, 177. doi:10.1186/s12876-021-01761-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, L., Chen, Y. S., Yao, Y. D., Chen, J. Q., Chen, J. N., Huang, S. Y., et al. (2015). CCL18 from tumor-associated macrophages promotes angiogenesis in breast cancer. Oncotarget 6, 34758–34773. doi:10.18632/oncotarget.5325

PubMed Abstract | CrossRef Full Text | Google Scholar

Lines, J. L., Pantazi, E., Mak, J., Sempere, L. F., Wang, L., O'Connell, S., et al. (2014). VISTA is an immune checkpoint molecule for human T cells. Cancer Res. 74, 1924–1932. doi:10.1158/0008-5472.CAN-13-1504

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Lan, L., Li, Y., Lu, J., He, L., Deng, Y., et al. (2022). N-glycosylation stabilizes MerTK and promotes hepatocellular carcinoma tumor growth. Redox Biol. 54, 102366. doi:10.1016/j.redox.2022.102366

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Liang, X., Dong, W., Fang, Y., Lv, J., Zhang, T., et al. (2018). Tumor-repopulating cells induce PD-1 expression in CD8(+) T cells by transferring kynurenine and AhR activation. Cancer Cell 33, 480–494. doi:10.1016/j.ccell.2018.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Llovet, J. M., Kelley, R. K., Villanueva, A., Singal, A. G., Pikarsky, E., Roayaie, S., et al. (2021). Hepatocellular carcinoma. Nat. Rev. Dis. Prim. 7, 6. doi:10.1038/s41572-020-00240-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Loomba, R., Lawitz, E., Mantry, P. S., Jayakumar, S., Caldwell, S. H., Arnold, H., et al. (2018). The ASK1 inhibitor selonsertib in patients with nonalcoholic steatohepatitis: A randomized, phase 2 trial. Hepatology 67, 549–559. doi:10.1002/hep.29514

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopez, B. G., Tsai, M. S., Baratta, J. L., Longmuir, K. J., and Robertson, R. T. (2011). Characterization of Kupffer cells in livers of developing mice. Comp. Hepatol. 10, 2. doi:10.1186/1476-5926-10-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, Y., Yang, A., Quan, C., Pan, Y., Zhang, H., Li, Y., et al. (2022). A single-cell atlas of the multicellular ecosystem of primary and metastatic hepatocellular carcinoma. Nat. Commun. 13, 4594. doi:10.1038/s41467-022-32283-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Luci, C., Bourinet, M., Leclere, P. S., Anty, R., and Gual, P. (2020). Chronic inflammation in non-alcoholic steatohepatitis: Molecular mechanisms and therapeutic strategies. Front. Endocrinol. (Lausanne) 11, 597648. doi:10.3389/fendo.2020.597648

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, J. L., Maeda, S., Hsu, L. C., Yagita, H., and Karin, M. (2004). Inhibition of NF-kappaB in cancer cells converts inflammation-induced tumor growth mediated by TNFalpha to TRAIL-mediated tumor regression. Cancer Cell 6, 297–305. doi:10.1016/j.ccr.2004.08.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, X., Zheng, E., Wei, L., Zeng, H., Qin, H., Zhang, X., et al. (2021). The fatty acid receptor CD36 promotes HCC progression through activating Src/PI3K/AKT axis-dependent aerobic glycolysis. Cell Death Dis. 12, 328. doi:10.1038/s41419-021-03596-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Lv, X., Li, J., Zhang, C., Hu, T., Li, S., He, S., et al. (2017). The role of hypoxia-inducible factors in tumor angiogenesis and cell metabolism. Genes Dis. 4, 19–24. doi:10.1016/j.gendis.2016.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Mannino, M. H., Zhu, Z., Xiao, H., Bai, Q., Wakefield, M. R., and Fang, Y. (2015). The paradoxical role of IL-10 in immunity and cancer. Cancer Lett. 367, 103–107. doi:10.1016/j.canlet.2015.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Mantovani, A., Allavena, P., Marchesi, F., and Garlanda, C. (2022). Macrophages as tools and targets in cancer therapy. Nat. Rev. Drug Discov. 21, 799–820. doi:10.1038/s41573-022-00520-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Mantovani, A., Marchesi, F., Malesci, A., Laghi, L., and Allavena, P. (2017). Tumour-associated macrophages as treatment targets in oncology. Nat. Rev. Clin. Oncol. 14, 399–416. doi:10.1038/nrclinonc.2016.217

PubMed Abstract | CrossRef Full Text | Google Scholar

Martinez, F. O., Sica, A., Mantovani, A., and Locati, M. (2008). Macrophage activation and polarization. Front. Biosci. 13, 453–461. doi:10.2741/2692

PubMed Abstract | CrossRef Full Text | Google Scholar

Martinez-Lostao, L., Anel, A., and Pardo, J. (2015). How do cytotoxic lymphocytes kill cancer cells? Clin. Cancer Res. 21, 5047–5056. doi:10.1158/1078-0432.CCR-15-0685

PubMed Abstract | CrossRef Full Text | Google Scholar

Matsubara, T., Kanto, T., Kuroda, S., Yoshio, S., Higashitani, K., Kakita, N., et al. (2013). TIE2-expressing monocytes as a diagnostic marker for hepatocellular carcinoma correlates with angiogenesis. Hepatology 57, 1416–1425. doi:10.1002/hep.25965

PubMed Abstract | CrossRef Full Text | Google Scholar

Matsuda, M., Tsurusaki, S., Miyata, N., Saijou, E., Okochi, H., Miyajima, A., et al. (2018). Oncostatin M causes liver fibrosis by regulating cooperation between hepatic stellate cells and macrophages in mice. Hepatology 67, 296–312. doi:10.1002/hep.29421

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, Y. M., Liang, J., Wu, C., Xu, J., Zeng, D. N., Yu, X. J., et al. (2018). Monocytes/Macrophages promote vascular CXCR4 expression via the ERK pathway in hepatocellular carcinoma. Oncoimmunology 7, e1408745. doi:10.1080/2162402X.2017.1408745

PubMed Abstract | CrossRef Full Text | Google Scholar

Mezrich, J. D., Fechner, J. H., Zhang, X., Johnson, B. P., Burlingham, W. J., and Bradfield, C. A. (2010). An interaction between kynurenine and the aryl hydrocarbon receptor can generate regulatory T cells. J. Immunol. 185, 3190–3198. doi:10.4049/jimmunol.0903670

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitsuhashi, N., Shimizu, H., Ohtsuka, M., Wakabayashi, Y., Ito, H., Kimura, F., et al. (2003). Angiopoietins and Tie-2 expression in angiogenesis and proliferation of human hepatocellular carcinoma. Hepatology 37, 1105–1113. doi:10.1053/jhep.2003.50204

PubMed Abstract | CrossRef Full Text | Google Scholar

Modak, M., Mattes, A. K., Reiss, D., Skronska-Wasek, W., Langlois, R., Sabarth, N., et al. (2022). CD206+ tumor-associated macrophages cross-present tumor antigen and drive antitumor immunity. JCI Insight 7, e155022. doi:10.1172/jci.insight.155022

PubMed Abstract | CrossRef Full Text | Google Scholar

Molgora, M., Esaulova, E., Vermi, W., Hou, J., Chen, Y., Luo, J., et al. (2020). TREM2 modulation remodels the tumor myeloid landscape enhancing anti-PD-1 immunotherapy. Cell 182, 886–900. doi:10.1016/j.cell.2020.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Moon, H., Ju, H. L., Chung, S. I., Cho, K. J., Eun, J. W., Nam, S. W., et al. (2017). Transforming growth factor-beta promotes liver tumorigenesis in mice via up-regulation of Snail. Gastroenterology 153, 1378–1391. doi:10.1053/j.gastro.2017.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Morikawa, R., Nakamoto, N., Amiya, T., Chu, P. S., Koda, Y., Teratani, T., et al. (2021). Role of CC chemokine receptor 9 in the progression of murine and human non-alcoholic steatohepatitis. J. Hepatol. 74, 511–521. doi:10.1016/j.jhep.2020.09.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Movahedi, K., Laoui, D., Gysemans, C., Baeten, M., Stange, G., Van den Bossche, J., et al. (2010). Different tumor microenvironments contain functionally distinct subsets of macrophages derived from Ly6C(high) monocytes. Cancer Res. 70, 5728–5739. doi:10.1158/0008-5472.CAN-09-4672

PubMed Abstract | CrossRef Full Text | Google Scholar

Mridha, A. R., Wree, A., Robertson, A. A. B., Yeh, M. M., Johnson, C. D., Van Rooyen, D. M., et al. (2017). NLRP3 inflammasome blockade reduces liver inflammation and fibrosis in experimental NASH in mice. J. Hepatol. 66, 1037–1046. doi:10.1016/j.jhep.2017.01.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Mulder, K., Patel, A. A., Kong, W. T., Piot, C., Halitzki, E., Dunsmore, G., et al. (2021). Cross-tissue single-cell landscape of human monocytes and macrophages in health and disease. Immunity 54, 1883–1900.e5. doi:10.1016/j.immuni.2021.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Murai, H., Kodama, T., Maesaka, K., Tange, S., Motooka, D., Suzuki, Y., et al. (2022). Multiomics identifies the link between intratumor steatosis and the exhausted tumor immune microenvironment in hepatocellular carcinoma. Hepatology 77, 77–91. doi:10.1002/hep.32573

PubMed Abstract | CrossRef Full Text | Google Scholar

Nagy, L., Tontonoz, P., Alvarez, J. G., Chen, H., and Evans, R. M. (1998). Oxidized LDL regulates macrophage gene expression through ligand activation of PPARgamma. Cell 93, 229–240. doi:10.1016/s0092-8674(00)81574-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakagawa, H., Umemura, A., Taniguchi, K., Font-Burgada, J., Dhar, D., Ogata, H., et al. (2014). ER stress cooperates with hypernutrition to trigger TNF-dependent spontaneous HCC development. Cancer Cell 26, 331–343. doi:10.1016/j.ccr.2014.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakasone, E. S., Askautrud, H. A., Kees, T., Park, J. H., Plaks, V., Ewald, A. J., et al. (2012). Imaging tumor-stroma interactions during chemotherapy reveals contributions of the microenvironment to resistance. Cancer Cell 21, 488–503. doi:10.1016/j.ccr.2012.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Ni, Y., Zhuge, F., Ni, L., Nagata, N., Yamashita, T., Mukaida, N., et al. (2022). CX3CL1/CX3CR1 interaction protects against lipotoxicity-induced nonalcoholic steatohepatitis by regulating macrophage migration and M1/M2 status. Metabolism 136, 155272. doi:10.1016/j.metabol.2022.155272

PubMed Abstract | CrossRef Full Text | Google Scholar

Niu, Z., Shi, Q., Zhang, W., Shu, Y., Yang, N., Chen, B., et al. (2017). Caspase-1 cleaves PPARγ for potentiating the pro-tumor action of TAMs. Nat. Commun. 8, 766. doi:10.1038/s41467-017-00523-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Noman, M. Z., Desantis, G., Janji, B., Hasmim, M., Karray, S., Dessen, P., et al. (2014). PD-L1 is a novel direct target of HIF-1α, and its blockade under hypoxia enhanced MDSC-mediated T cell activation. J. Exp. Med. 211, 781–790. doi:10.1084/jem.20131916

PubMed Abstract | CrossRef Full Text | Google Scholar

Obeid, M., Tesniere, A., Ghiringhelli, F., Fimia, G. M., Apetoh, L., Perfettini, J. L., et al. (2007). Calreticulin exposure dictates the immunogenicity of cancer cell death. Nat. Med. 13, 54–61. doi:10.1038/nm1523

PubMed Abstract | CrossRef Full Text | Google Scholar

Odegaard, J. I., Ricardo-Gonzalez, R. R., Goforth, M. H., Morel, C. R., Subramanian, V., Mukundan, L., et al. (2007). Macrophage-specific PPARgamma controls alternative activation and improves insulin resistance. Nature 447, 1116–1120. doi:10.1038/nature05894

PubMed Abstract | CrossRef Full Text | Google Scholar

Pang, Y., Eresen, A., Zhang, Z., Hou, Q., Wang, Y., Yaghmai, V., et al. (2022). Adverse events of sorafenib in hepatocellular carcinoma treatment. Am. J. Cancer Res. 12, 2770–2782.

PubMed Abstract | Google Scholar

Paradis, V., Zalinski, S., Chelbi, E., Guedj, N., Degos, F., Vilgrain, V., et al. (2009). Hepatocellular carcinomas in patients with metabolic syndrome often develop without significant liver fibrosis: A pathological analysis. Hepatology 49, 851–859. doi:10.1002/hep.22734

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, E. J., Lee, J. H., Yu, G. Y., He, G., Ali, S. R., Holzer, R. G., et al. (2010). Dietary and genetic obesity promote liver inflammation and tumorigenesis by enhancing IL-6 and TNF expression. Cell 140, 197–208. doi:10.1016/j.cell.2009.12.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Parker, R., Weston, C. J., Miao, Z., Corbett, C., Armstrong, M. J., Ertl, L., et al. (2018). CC chemokine receptor 2 promotes recruitment of myeloid cells associated with insulin resistance in nonalcoholic fatty liver disease. Am. J. Physiol. Gastrointest. Liver Physiol. 314, G483–G493. doi:10.1152/ajpgi.00213.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Parthasarathy, G., and Malhi, H. (2021). Macrophage heterogeneity in NASH: More than just nomenclature. Hepatology 74, 515–518. doi:10.1002/hep.31790

PubMed Abstract | CrossRef Full Text | Google Scholar

Patouraux, S., Rousseau, D., Bonnafous, S., Lebeaupin, C., Luci, C., Canivet, C. M., et al. (2017). CD44 is a key player in non-alcoholic steatohepatitis. J. Hepatol. 67, 328–338. doi:10.1016/j.jhep.2017.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Paul, B., Lewinska, M., and Andersen, J. B. (2022). Lipid alterations in chronic liver disease and liver cancer. JHEP Rep. 4, 100479. doi:10.1016/j.jhepr.2022.100479

PubMed Abstract | CrossRef Full Text | Google Scholar

Peiseler, M., Schwabe, R., Hampe, J., Kubes, P., Heikenwalder, M., and Tacke, F. (2022). Immune mechanisms linking metabolic injury to inflammation and fibrosis in fatty liver disease - novel insights into cellular communication circuits. J. Hepatol. 77, 1136–1160. doi:10.1016/j.jhep.2022.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Peral de Castro, C., Jones, S. A., Ni Cheallaigh, C., Hearnden, C. A., Williams, L., Winter, J., et al. (2012). Autophagy regulates IL-23 secretion and innate T cell responses through effects on IL-1 secretion. J. Immunol. 189, 4144–4153. doi:10.4049/jimmunol.1201946

PubMed Abstract | CrossRef Full Text | Google Scholar

Pfister, D., Nunez, N. G., Pinyol, R., Govaere, O., Pinter, M., Szydlowska, M., et al. (2021). NASH limits anti-tumour surveillance in immunotherapy-treated HCC. Nature 592, 450–456. doi:10.1038/s41586-021-03362-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Pourcet, B., Gage, M. C., Leon, T. E., Waddington, K. E., Pello, O. M., Steffensen, K. R., et al. (2016). The nuclear receptor LXR modulates interleukin-18 levels in macrophages through multiple mechanisms. Sci. Rep. 6, 25481. doi:10.1038/srep25481

PubMed Abstract | CrossRef Full Text | Google Scholar

Pradere, J. P., Kluwe, J., De Minicis, S., Jiao, J. J., Gwak, G. Y., Dapito, D. H., et al. (2013). Hepatic macrophages but not dendritic cells contribute to liver fibrosis by promoting the survival of activated hepatic stellate cells in mice. Hepatology 58, 1461–1473. doi:10.1002/hep.26429

PubMed Abstract | CrossRef Full Text | Google Scholar

Pu, Y., and Ji, Q. (2022). Tumor-associated macrophages regulate PD-1/PD-L1 immunosuppression. Front. Immunol. 13, 874589. doi:10.3389/fimmu.2022.874589

PubMed Abstract | CrossRef Full Text | Google Scholar

Puengel, T., Krenkel, O., Kohlhepp, M., Lefebvre, E., Luedde, T., Trautwein, C., et al. (2017). Differential impact of the dual CCR2/CCR5 inhibitor cenicriviroc on migration of monocyte and lymphocyte subsets in acute liver injury. PLoS One 12, e0184694. doi:10.1371/journal.pone.0184694

PubMed Abstract | CrossRef Full Text | Google Scholar

Puengel, T., Lefere, S., Hundertmark, J., Kohlhepp, M., Penners, C., Van de Velde, F., et al. (2022b). Combined therapy with a CCR2/CCR5 antagonist and FGF21 analogue synergizes in ameliorating steatohepatitis and fibrosis. Int. J. Mol. Sci. 23, 6696. doi:10.3390/ijms23126696

PubMed Abstract | CrossRef Full Text | Google Scholar

Puengel, T., Liu, H., Guillot, A., Heymann, F., Tacke, F., and Peiseler, M. (2022a). Nuclear receptors linking metabolism, inflammation, and fibrosis in nonalcoholic fatty liver disease. Int. J. Mol. Sci. 23, 2668. doi:10.3390/ijms23052668

PubMed Abstract | CrossRef Full Text | Google Scholar

Puthenveetil, A., and Dubey, S. (2020). Metabolic reprograming of tumor-associated macrophages. Ann. Transl. Med. 8, 1030. doi:10.21037/atm-20-2037

PubMed Abstract | CrossRef Full Text | Google Scholar

Qing, J., Ren, Y., Zhang, Y., Yan, M., Zhang, H., Wu, D., et al. (2022). Dopamine receptor D2 antagonism normalizes profibrotic macrophage-endothelial crosstalk in non-alcoholic steatohepatitis. J. Hepatol. 76, 394–406. doi:10.1016/j.jhep.2021.09.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Rahaman, S. O., Lennon, D. J., Febbraio, M., Podrez, E. A., Hazen, S. L., and Silverstein, R. L. (2006). A CD36-dependent signaling cascade is necessary for macrophage foam cell formation. Cell Metab. 4, 211–221. doi:10.1016/j.cmet.2006.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramachandran, P., Dobie, R., Wilson-Kanamori, J. R., Dora, E. F., Henderson, B. E. P., Luu, N. T., et al. (2019). Resolving the fibrotic niche of human liver cirrhosis at single-cell level. Nature 575, 512–518. doi:10.1038/s41586-019-1631-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramachandran, P., Matchett, K. P., Dobie, R., Wilson-Kanamori, J. R., and Henderson, N. C. (2020). Single-cell technologies in hepatology: New insights into liver biology and disease pathogenesis. Nat. Rev. Gastroenterol. Hepatol. 17, 457–472. doi:10.1038/s41575-020-0304-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Reid, D. T., Reyes, J. L., McDonald, B. A., Vo, T., Reimer, R. A., and Eksteen, B. (2016). Kupffer cells undergo fundamental changes during the development of experimental NASH and are critical in initiating liver damage and inflammation. PLoS One 11, e0159524. doi:10.1371/journal.pone.0159524

PubMed Abstract | CrossRef Full Text | Google Scholar

Remmerie, A., Martens, L., Thone, T., Castoldi, A., Seurinck, R., Pavie, B., et al. (2020). Osteopontin expression identifies a subset of recruited macrophages distinct from kupffer cells in the fatty liver. Immunity 53, 641–657. doi:10.1016/j.immuni.2020.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Riazi, K., Azhari, H., Charette, J. H., Underwood, F. E., King, J. A., Afshar, E. E., et al. (2022). The prevalence and incidence of NAFLD worldwide: A systematic review and meta-analysis. Lancet Gastroenterol. Hepatol. 7, 851–861. doi:10.1016/S2468-1253(22)00165-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosenberg, N., Van Haele, M., Lanton, T., Brashi, N., Bromberg, Z., Adler, H., et al. (2022). Combined hepatocellular-cholangiocarcinoma derives from liver progenitor cells and depends on senescence and IL-6 trans-signaling. J. Hepatol. 77, 1631–1641. doi:10.1016/j.jhep.2022.07.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Rumgay, H., Arnold, M., Ferlay, J., Lesi, O., Cabasag, C. J., Vignat, J., et al. (2022a). Global burden of primary liver cancer in 2020 and predictions to 2040. J. Hepatol. 77, 1598–1606. doi:10.1016/j.jhep.2022.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Rumgay, H., Ferlay, J., de Martel, C., Georges, D., Ibrahim, A. S., Zheng, R., et al. (2022b). Global, regional and national burden of primary liver cancer by subtype. Eur. J. Cancer 161, 108–118. doi:10.1016/j.ejca.2021.11.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruthenborg, R. J., Ban, J. J., Wazir, A., Takeda, N., and Kim, J. W. (2014). Regulation of wound healing and fibrosis by hypoxia and hypoxia-inducible factor-1. Mol. Cells 37, 637–643. doi:10.14348/molcells.2014.0150

PubMed Abstract | CrossRef Full Text | Google Scholar

Sadik, A., Somarribas Patterson, L. F., Ozturk, S., Mohapatra, S. R., Panitz, V., Secker, P. F., et al. (2020). IL4I1 is a metabolic immune checkpoint that activates the AHR and promotes tumor progression. Cell 182, 1252–1270. doi:10.1016/j.cell.2020.07.038

PubMed Abstract | CrossRef Full Text | Google Scholar

Satriano, L., Lewinska, M., Rodrigues, P. M., Banales, J. M., and Andersen, J. B. (2019). Metabolic rearrangements in primary liver cancers: Cause and consequences. Nat. Rev. Gastroenterol. Hepatol. 16, 748–766. doi:10.1038/s41575-019-0217-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Sawka-Verhelle, D., Escoubet-Lozach, L., Fong, A. L., Hester, K. D., Herzig, S., Lebrun, P., et al. (2004). PE-1/METS, an antiproliferative Ets repressor factor, is induced by CREB-1/CREM-1 during macrophage differentiation. J. Biol. Chem. 279, 17772–17784. doi:10.1074/jbc.M311991200

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwabe, R. F., Tabas, I., and Pajvani, U. B. (2020). Mechanisms of fibrosis development in nonalcoholic steatohepatitis. Gastroenterology 158, 1913–1928. doi:10.1053/j.gastro.2019.11.311

PubMed Abstract | CrossRef Full Text | Google Scholar

Senbanjo, L. T., and Chellaiah, M. A. (2017). CD44: A multifunctional cell surface adhesion receptor is a regulator of progression and metastasis of cancer cells. Front. Cell Dev. Biol. 5, 18. doi:10.3389/fcell.2017.00018

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, A., Seow, J. J. W., Dutertre, C. A., Pai, R., Bleriot, C., Mishra, A., et al. (2020). Onco-fetal reprogramming of endothelial cells drives immunosuppressive macrophages in hepatocellular carcinoma. Cell 183, 377–394. doi:10.1016/j.cell.2020.08.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., and Flier, J. S. (2006). TLR4 links innate immunity and fatty acid-induced insulin resistance. J. Clin. Invest 116, 3015–3025. doi:10.1172/JCI28898

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, H., Wang, X., Li, F., Gerlach, B. D., Yurdagul, A., Moore, M. P., et al. (2022). CD47-SIRPα axis blockade in NASH promotes necroptotic hepatocyte clearance by liver macrophages and decreases hepatic fibrosis. Sci. Transl. Med. 14, eabp8309. doi:10.1126/scitranslmed.abp8309

PubMed Abstract | CrossRef Full Text | Google Scholar

Sierro, F., Evrard, M., Rizzetto, S., Melino, M., Mitchell, A. J., Florido, M., et al. (2017). A liver capsular network of monocyte-derived macrophages restricts hepatic dissemination of intraperitoneal bacteria by neutrophil recruitment. Immunity 47, 374–388. doi:10.1016/j.immuni.2017.07.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Skytthe, M. K., Graversen, J. H., and Moestrup, S. K. (2020). Targeting of CD163(+) macrophages in inflammatory and malignant diseases. Int. J. Mol. Sci. 21, 5497. doi:10.3390/ijms21155497

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, G., Shi, Y., Zhang, M., Goswami, S., Afridi, S., Meng, L., et al. (2020). Global immune characterization of HBV/HCV-related hepatocellular carcinoma identifies macrophage and T-cell subsets associated with disease progression. Cell Discov. 6, 90. doi:10.1038/s41421-020-00214-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Sprinzl, M. F., Puschnik, A., Schlitter, A. M., Schad, A., Ackermann, K., Esposito, I., et al. (2015). Sorafenib inhibits macrophage-induced growth of hepatoma cells by interference with insulin-like growth factor-1 secretion. J. Hepatol. 62, 863–870. doi:10.1016/j.jhep.2014.11.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Su, P., Wang, Q., Bi, E., Ma, X., Liu, L., Yang, M., et al. (2020). Enhanced lipid accumulation and metabolism are required for the differentiation and activation of tumor-associated macrophages. Cancer Res. 80, 1438–1450. doi:10.1158/0008-5472.CAN-19-2994

PubMed Abstract | CrossRef Full Text | Google Scholar

Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., et al. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71, 209–249. doi:10.3322/caac.21660

PubMed Abstract | CrossRef Full Text | Google Scholar

Sung, P. S., Park, D. J., Roh, P. R., Mun, K. D., Cho, S. W., Lee, G. W., et al. (2022). Intrahepatic inflammatory IgA(+)PD-L1(high) monocytes in hepatocellular carcinoma development and immunotherapy. J. Immunother. Cancer 10, e003618. doi:10.1136/jitc-2021-003618

PubMed Abstract | CrossRef Full Text | Google Scholar

Suthen, S., Lim, C. J., Nguyen, P. H. D., Dutertre, C. A., Lai, H. L. H., Wasser, M., et al. (2022). Hypoxia-driven immunosuppression by Treg and type-2 conventional dendritic cells in HCC. Hepatology 76, 1329–1344. doi:10.1002/hep.32419

PubMed Abstract | CrossRef Full Text | Google Scholar

Svendsen, P., Graversen, J. H., Etzerodt, A., Hager, H., Roge, R., Gronbaek, H., et al. (2017). Antibody-directed glucocorticoid targeting to CD163 in M2-type macrophages attenuates fructose-induced liver inflammatory changes. Mol. Ther. Methods Clin. Dev. 4, 50–61. doi:10.1016/j.omtm.2016.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Tacke, F. (2018). Cenicriviroc for the treatment of non-alcoholic steatohepatitis and liver fibrosis. Expert Opin. Investig. Drugs 27, 301–311. doi:10.1080/13543784.2018.1442436

PubMed Abstract | CrossRef Full Text | Google Scholar

Tacke, F. (2017). Targeting hepatic macrophages to treat liver diseases. J. Hepatol. 66, 1300–1312. doi:10.1016/j.jhep.2017.02.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Tada, Y., Kasai, K., Makiuchi, N., Igarashi, N., Kani, K., Takano, S., et al. (2022). Roles of macrophages in advanced liver fibrosis, identified using a newly established mouse model of diet-induced non-alcoholic steatohepatitis. Int. J. Mol. Sci. 23, 13251. doi:10.3390/ijms232113251

PubMed Abstract | CrossRef Full Text | Google Scholar

Takahashi, K., Prinz, M., Stagi, M., Chechneva, O., and Neumann, H. (2007). TREM2-transduced myeloid precursors mediate nervous tissue debris clearance and facilitate recovery in an animal model of multiple sclerosis. PLoS Med. 4, e124. doi:10.1371/journal.pmed.0040124

PubMed Abstract | CrossRef Full Text | Google Scholar

Techasen, A., Namwat, N., Loilome, W., Bungkanjana, P., Khuntikeo, N., Puapairoj, A., et al. (2012). Tumor necrosis factor-alpha (TNF-alpha) stimulates the epithelial-mesenchymal transition regulator Snail in cholangiocarcinoma. Med. Oncol. 29, 3083–3091. doi:10.1007/s12032-012-0305-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Todt, J. C., Hu, B., and Curtis, J. L. (2008). The scavenger receptor SR-A I/II (CD204) signals via the receptor tyrosine kinase Mertk during apoptotic cell uptake by murine macrophages. J. Leukoc. Biol. 84, 510–518. doi:10.1189/jlb.0307135

PubMed Abstract | CrossRef Full Text | Google Scholar

Tomita, K., Freeman, B. L., Bronk, S. F., LeBrasseur, N. K., White, T. A., Hirsova, P., et al. (2016). CXCL10-Mediates macrophage, but not other innate immune cells-associated inflammation in murine nonalcoholic steatohepatitis. Sci. Rep. 6, 28786. doi:10.1038/srep28786

PubMed Abstract | CrossRef Full Text | Google Scholar

Tosello-Trampont, A. C., Landes, S. G., Nguyen, V., Novobrantseva, T. I., and Hahn, Y. S. (2012). Kuppfer cells trigger nonalcoholic steatohepatitis development in diet-induced mouse model through tumor necrosis factor-alpha production. J. Biol. Chem. 287, 40161–40172. doi:10.1074/jbc.M112.417014

PubMed Abstract | CrossRef Full Text | Google Scholar

Trautwein, C., Friedman, S. L., Schuppan, D., and Pinzani, M. (2015). Hepatic fibrosis: Concept to treatment. J. Hepatol. 62, S15–S24. doi:10.1016/j.jhep.2015.02.039

PubMed Abstract | CrossRef Full Text | Google Scholar

Ueno, M., Takeda, H., Takai, A., and Seno, H. (2022). Risk factors and diagnostic biomarkers for nonalcoholic fatty liver disease-associated hepatocellular carcinoma: Current evidence and future perspectives. World J. Gastroenterol. 28, 3410–3421. doi:10.3748/wjg.v28.i27.3410

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaeteewoottacharn, K., Kariya, R., Pothipan, P., Fujikawa, S., Pairojkul, C., Waraasawapati, S., et al. (2019). Attenuation of CD47-sirpα signal in cholangiocarcinoma potentiates tumor-associated macrophage-mediated phagocytosis and suppresses intrahepatic metastasis. Transl. Oncol. 12, 217–225. doi:10.1016/j.tranon.2018.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Campenhout, S., Tilleman, L., Lefere, S., Vandierendonck, A., Raevens, S., Verhelst, X., et al. (2020). Myeloid-specific IRE1alpha deletion reduces tumour development in a diabetic, non-alcoholic steatohepatitis-induced hepatocellular carcinoma mouse model. Metabolism 107, 154220. doi:10.1016/j.metabol.2020.154220

PubMed Abstract | CrossRef Full Text | Google Scholar

van der Zande, H. J. P., Nitsche, D., Schlautmann, L., Guigas, B., and Burgdorf, S. (2021). The mannose receptor: From endocytic receptor and biomarker to regulator of (Meta)Inflammation. Front. Immunol. 12, 765034. doi:10.3389/fimmu.2021.765034

PubMed Abstract | CrossRef Full Text | Google Scholar

Veglia, F., Perego, M., and Gabrilovich, D. (2018). Myeloid-derived suppressor cells coming of age. Nat. Immunol. 19, 108–119. doi:10.1038/s41590-017-0022-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Walcher, L., Kistenmacher, A. K., Suo, H., Kitte, R., Dluczek, S., Strauss, A., et al. (2020). Cancer stem cells-origins and biomarkers: Perspectives for targeted personalized therapies. Front. Immunol. 11, 1280. doi:10.3389/fimmu.2020.01280

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., and Kubes, P. (2016). A reservoir of mature cavity macrophages that can rapidly invade visceral organs to affect tissue repair. Cell 165, 668–678. doi:10.1016/j.cell.2016.03.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Wang, Y., Chu, Y., Li, Z., Yu, X., Huang, Z., et al. (2021). Tumor-derived adenosine promotes macrophage proliferation in human hepatocellular carcinoma. J. Hepatol. 74, 627–637. doi:10.1016/j.jhep.2020.10.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, M., You, Q., Lor, K., Chen, F., Gao, B., and Ju, C. (2014). Chronic alcohol ingestion modulates hepatic macrophage populations and functions in mice. J. Leukoc. Biol. 96, 657–665. doi:10.1189/jlb.6A0114-004RR

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., He, Q., Zhou, C., Xu, Y., Liu, D., Fujiwara, N., et al. (2023). Prolonged hypernutrition impairs TREM2-dependent efferocytosis to license chronic liver inflammation and NASH development. Immunity 56, 58–77 e11. doi:10.1016/j.immuni.2022.11.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Weiskirchen, R., and Tacke, F. (2016). Liver fibrosis: From pathogenesis to novel therapies. Dig. Dis. 34, 410–422. doi:10.1159/000444556

PubMed Abstract | CrossRef Full Text | Google Scholar

Welford, A. F., Biziato, D., Coffelt, S. B., Nucera, S., Fisher, M., Pucci, F., et al. (2011). TIE2-expressing macrophages limit the therapeutic efficacy of the vascular-disrupting agent combretastatin A4 phosphate in mice. J. Clin. Invest 121, 1969–1973. doi:10.1172/JCI44562

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolf, M. J., Adili, A., Piotrowitz, K., Abdullah, Z., Boege, Y., Stemmer, K., et al. (2014). Metabolic activation of intrahepatic CD8+ T cells and NKT cells causes nonalcoholic steatohepatitis and liver cancer via cross-talk with hepatocytes. Cancer Cell 26, 549–564. doi:10.1016/j.ccell.2014.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, H., Han, Y., Rodriguez Sillke, Y., Deng, H., Siddiqui, S., Treese, C., et al. (2019a). Lipid droplet-dependent fatty acid metabolism controls the immune suppressive phenotype of tumor-associated macrophages. EMBO Mol. Med. 11, e10698. doi:10.15252/emmm.201910698

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Q., Zhou, W., Yin, S., Zhou, Y., Chen, T., Qian, J., et al. (2019b). Blocking triggering receptor expressed on myeloid cells-1-positive tumor-associated macrophages induced by hypoxia reverses immunosuppression and anti-programmed cell death ligand 1 resistance in liver cancer. Hepatology 70, 198–214. doi:10.1002/hep.30593

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, L., Zhang, X., Zheng, L., Zhao, H., Yan, G., Zhang, Q., et al. (2020). RIPK3 orchestrates fatty acid metabolism in tumor-associated macrophages and hepatocarcinogenesis. Cancer Immunol. Res. 8, 710–721. doi:10.1158/2326-6066.CIR-19-0261

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiao, Z., Chung, H., Banan, B., Manning, P. T., Ott, K. C., Lin, S., et al. (2015). Antibody mediated therapy targeting CD47 inhibits tumor progression of hepatocellular carcinoma. Cancer Lett. 360, 302–309. doi:10.1016/j.canlet.2015.02.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, J., Liang, J., Meng, Y. M., Yan, J., Yu, X. J., Liu, C. Q., et al. (2017). Vascular CXCR4 expression promotes vessel sprouting and sensitivity to sorafenib treatment in hepatocellular carcinoma. Clin. Cancer Res. 23, 4482–4492. doi:10.1158/1078-0432.CCR-16-2131

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, L., Xu, F., and Dai, C. L. (2018). Relationship between epithelial-to-mesenchymal transition and the inflammatory microenvironment of hepatocellular carcinoma. J. Exp. Clin. Cancer Res. 37, 203. doi:10.1186/s13046-018-0887-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, P., Qin, H., Li, Y., Xiao, A., Zheng, E., Zeng, H., et al. (2022). CD36-mediated metabolic crosstalk between tumor cells and macrophages affects liver metastasis. Nat. Commun. 13, 5782. doi:10.1038/s41467-022-33349-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, X., Lin, Y., Shi, Y., Li, B., Liu, W., Yin, W., et al. (2016). FAP promotes immunosuppression by cancer-associated fibroblasts in the tumor microenvironment via STAT3-CCL2 signaling. Cancer Res. 76, 4124–4135. doi:10.1158/0008-5472.CAN-15-2973

PubMed Abstract | CrossRef Full Text | Google Scholar

Yeung, O. W., Lo, C. M., Ling, C. C., Qi, X., Geng, W., Li, C. X., et al. (2015). Alternatively activated (M2) macrophages promote tumour growth and invasiveness in hepatocellular carcinoma. J. Hepatol. 62, 607–616. doi:10.1016/j.jhep.2014.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

You, Q., Cheng, L., Kedl, R. M., and Ju, C. (2008). Mechanism of T cell tolerance induction by murine hepatic Kupffer cells. Hepatology 48, 978–990. doi:10.1002/hep.22395

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, W., Chen, J., Xiong, Y., Pixley, F. J., Yeung, Y. G., and Stanley, E. R. (2012). Macrophage proliferation is regulated through CSF-1 receptor tyrosines 544, 559, and 807. J. Biol. Chem. 287, 13694–13704. doi:10.1074/jbc.M112.355610

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, Y., Liu, Y., An, W., Song, J., Zhang, Y., and Zhao, X. (2019). STING-mediated inflammation in Kupffer cells contributes to progression of nonalcoholic steatohepatitis. J. Clin. Invest 129, 546–555. doi:10.1172/JCI121842

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, Z., Li, Y., Li, Y., Zhang, J., Li, M., Ji, L., et al. (2022). Bufalin stimulates antitumor immune response by driving tumor-infiltrating macrophage toward M1 phenotype in hepatocellular carcinoma. J. Immunother. Cancer 10, e004297. doi:10.1136/jitc-2021-004297

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, D., Huang, S., Berger, E., Liu, L., Gross, N., Heinzmann, F., et al. (2017). Kupffer cell-derived Tnf triggers cholangiocellular tumorigenesis through JNK due to chronic mitochondrial dysfunction and ROS. Cancer Cell 31, 771–789. doi:10.1016/j.ccell.2017.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, C., and Yang, M. (2021). Current options and future directions for NAFLD and NASH treatment. Int. J. Mol. Sci. 22, 7571. doi:10.3390/ijms22147571

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, P., Chen, Z., Kuang, H., Liu, T., Zhu, J., Zhou, L., et al. (2022). Neuregulin 4 suppresses NASH-HCC development by restraining tumor-prone liver microenvironment. Cell Metab. 34, 1359–1376.e7. doi:10.1016/j.cmet.2022.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Q., He, Y., Luo, N., Patel, S. J., Han, Y., Gao, R., et al. (2019a). Landscape and dynamics of single immune cells in hepatocellular carcinoma. Cell 179, 829–845. doi:10.1016/j.cell.2019.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Lu, M., Xu, Y., He, G., Liu, Q., Zhu, J., et al. (2019b). IL-10 promoter hypomethylation is associated with increased IL-10 expression and poor survival in hepatocellular carcinoma. Transl. Cancer Res. 8, 1466–1475. doi:10.21037/tcr.2019.07.33

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Fan, L., Wu, J., Xu, H., Leung, W. Y., Fu, K., et al. (2019c). Macrophage p38α promotes nutritional steatohepatitis through M1 polarization. J. Hepatol. 71, 163–174. doi:10.1016/j.jhep.2019.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, W., Zhu, X. D., Sun, H. C., Xiong, Y. Q., Zhuang, P. Y., Xu, H. X., et al. (2010). Depletion of tumor-associated macrophages enhances the effect of sorafenib in metastatic liver cancer models by antimetastatic and antiangiogenic effects. Clin. Cancer Res. 16, 3420–3430. doi:10.1158/1078-0432.CCR-09-2904

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, L., Wang, M., Guo, H., Hou, J., Zhang, Y., Li, M., et al. (2022). Integrated analysis highlights the immunosuppressive role of TREM2(+) macrophages in hepatocellular carcinoma. Front. Immunol. 13, 848367. doi:10.3389/fimmu.2022.848367

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, Y., Yang, J., Xu, D., Gao, X. M., Zhang, Z., Hsu, J. L., et al. (2019). Disruption of tumour-associated macrophage trafficking by the osteopontin-induced colony-stimulating factor-1 signalling sensitises hepatocellular carcinoma to anti-PD-L1 blockade. Gut 68, 1653–1666. doi:10.1136/gutjnl-2019-318419

PubMed Abstract | CrossRef Full Text | Google Scholar

Zong, Z., Zou, J., Mao, R., Ma, C., Li, N., Wang, J., et al. (2019). M1 macrophages induce PD-L1 expression in hepatocellular carcinoma cells through IL-1β signaling. Front. Immunol. 10, 1643. doi:10.3389/fimmu.2019.01643

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: liver macrophages, hepatocellular carcinoma, immunotherapy, non-alcoholic steatohepatitis, monocytes, tumor-associated macrophages

Citation: Kohlhepp MS, Liu H, Tacke F and Guillot A (2023) The contradictory roles of macrophages in non-alcoholic fatty liver disease and primary liver cancer—Challenges and opportunities. Front. Mol. Biosci. 10:1129831. doi: 10.3389/fmolb.2023.1129831

Received: 22 December 2022; Accepted: 31 January 2023;
Published: 10 February 2023.

Edited by:

Enis Kostallari, Mayo Clinic, United States

Reviewed by:

Cathal Harmon, Brigham and Women’s Hospital, Harvard Medical School, United States
Oliver Krenkel, Boehringer Ingelheim, Germany
Sofia Jerez, Mayo Clinic, United States

Copyright © 2023 Kohlhepp, Liu, Tacke and Guillot. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Adrien Guillot, YWRyaWVuLmd1aWxsb3RAY2hhcml0ZS5kZQ==

These authors share first authorship

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