Ken Shirato
Shogo Sato- 1Department of Molecular Predictive Medicine and Sport Science, Kyorin University School of Medicine, Mitaka, Japan
- 2Center for Biological Clocks Research, Department of Biology, Texas A&M University, College Station, TX, United States
The circadian rhythm is a biological system that creates daily variations of physiology and behavior with a 24-h cycle, which is precisely controlled by the molecular circadian clock. The circadian clock dominates temporal activity of physiological homeostasis at the molecular level, including endocrine secretion, metabolic, immune response, coupled with extrinsic environmental cues (e.g., light/dark cycles) and behavioral cues (e.g., sleep/wake cycles and feeding/fasting cycles). The other side of the clock is that the misaligned circadian rhythm contributes to the onset of a variety of diseases, such as cancer, metabolic diseases, and cardiovascular diseases, the acceleration of aging, and the development of systemic inflammation. The role played by macrophages is a key mediator between circadian disruption and systemic inflammation. At the molecular level, macrophage functions are under the direct control of the circadian clock, and thus the circadian misalignment remodels the phenotype of macrophages toward a ‘killer’ mode. Remarkably, the inflammatory macrophages induce systemic and chronic inflammation, leading to the development of inflammatory diseases and the dampened immune defensive machinery against infectious diseases such as COVID-19. Here, we discuss how the circadian clock regulates macrophage immune functions and provide the potential risk of misaligned circadian rhythms against inflammatory and infectious diseases.
Introduction
Acute lower respiratory tract infections (LRTIs) remain the most lethal communicable diseases by causing life-threatening pneumonia. Lung-resident alveolar macrophages play a pivotal role in the clearance of airborne pathogenic microorganisms, including bacteria, fungi, and viruses. In fact, alveolar macrophages have remarkable phagocytic activity owing to the high expression of receptors that recognize bacteria and fungi (Steele et al., 2003; Arredouani et al., 2004; Steele et al., 2005; Arredouani et al., 2006; Sharif et al., 2013; Bharat et al., 2016; Mitsi et al., 2018). Prompt and sufficient provocation of the initial pro-inflammatory responses is also indispensable to facilitate further mobilization and activation of peripheral phagocytes such as neutrophils and monocytes in infectious foci (Branger et al., 2004; Knapp et al., 2004; Albiger et al., 2007; Boyd et al., 2012; Sánchez-Tarjuelo et al., 2020). In contrast, although alveolar macrophages are not able to eliminate the virus directly, they assist alleviate pneumonia by removing the epithelial and inflammatory cells that caused apoptotic cell death as a result of the anti-viral response (Seitz et al., 2007; Schneider et al., 2014a; Fujimori et al., 2015; Grabiec et al., 2017; Mohning et al., 2018). Thus, failure of these protective actions leads to excessive and uncontrolled activation of peripheral monocyte-derived inflammatory macrophages, exacerbating pneumonia from mild to life-threatening. Essentially, we summarize the protective roles of alveolar macrophages on acute LRTIs via phagocytosis, pro-inflammatory responses, and efferocytosis.
Macrophage functions are reprogramed by cues derived from our daily lifestyle. Diet (i.e., nutrition), physical exercise, and aging progression has been revealed to modulate the phenotype of macrophages, defining systemic inflammatory status (Olefsky and Glass, 2010; Dall’Asta et al., 2012; Kizaki et al., 2012; Linehan and Fitzgerald, 2015; Davanso et al., 2020; Sitlinger et al., 2020; De Maeyer and Chambers, 2021; Duong et al., 2021). It has begun to be accepted that both the quantity and quality of immune cells including monocytes/macrophages exhibit a robust daily oscillation (Curtis et al., 2014; Leach and Suzuki, 2020; Shimba and Ikuta, 2020; Waggoner, 2020; Cermakian et al., 2021). The accumulating evidence illustrates the molecular mechanisms underlying the biological clock oscillators regulate temporal diversity of immune activities in accordance with cyclic environmental cues (e.g., light-dark cycles and temperature fluctuation) and behavioral rhythms (e.g., sleep-wake cycles, feeding-fasting cycles), which orchestrates the temporal regulation of immune homeostasis. In general, corresponding to the activity cycles, the immune system is poised for pathogenic attacks in the morning while it undergoes tissue repair and regeneration at night. This dynamic time-of-day variation of immune activity results in different responses to pathogen infection and thereby infectious morbidity and mortality and post-surgery recovery (Kvaslerud et al., 2010; Knutson and von Schantz, 2018; Sengupta et al., 2019). Thus, understanding of time-of-day-dependent functions of immune cells such as macrophages is of importance to directly complement personalized health development and further develop chronobiology- and chronopharmacology-based infectious disease treatment. Here we discuss and provide a perspective on the implication of the circadian regulation of macrophage functions unique to alveolar macrophages and peripheral monocyte-derived macrophages.
Circadian Rhythms in Immunity
Macrophage immune functions are adaptive to both internal physiological and external environmental changes. For instance, macrophage metabolic perturbation following nutritional challenge reprograms macrophage activity including a shift of macrophage polarization, secreted cytokines, tissue infiltration (Liu et al., 2020; Wu and Ballantyne, 2020). The relationship between aging and macrophage functions is also well-characterized. The most recent review article has summarized how the onset and progression of diseases, as well as deteriorating health in the elderly, are accompanied by reprogramming of macrophage functions (Duong et al., 2021). Ultimately, macrophage functions, and in particular redox homeostasis, is a potential modulator of life-span and aging progression (Vida et al., 2017), and overall, fine-tuned immune homeostasis not only in macrophages but also in immune cells including myeloid cells directly rejuvenates age-dependent degradation of biological functions represented by remyelination of aged central nervous system (Rawji et al., 2020), bone repair (Vi et al., 2018), and cognitive improvement (Minhas et al., 2021).
The dynamics of macrophage inflammatory signatures also specify temporal diversity of immune activity. Cyclic regulation of immune activity includes daily fluctuation of the number of circulating leukocytes, levels of secreted hormones and cytokines related to the regulation of immune activity, tissue infiltration of macrophages, innate and adaptive immune activities, a temporal gating of cellular responses to endotoxin challenge, and inflammatory signaling pathways and gene programs (Keller et al., 2009; Gibbs et al., 2012; Silver et al., 2012; Curtis et al., 2014; Sato et al., 2014b). The cyclic oscillation of immune functions allows organisms to anticipate daily variation of behavioral activities (i.e., sleep/wake cycles and feeding/fasting cycles) and thereby risks of infection and tissue damage (Haspel et al., 2020). The circadian dynamics of immune activity gates the timing not only for the defense system to the bacterial and viral pathogen but also for tissue repair and regeneration against damage and injury.
The word ‘circadian’ derived from the Latin phrase ‘Circa’ and ‘Diem’ means ‘about a day’. The circadian rhythms refer to biological rhythms with a cycle of approximately 24-hour corresponding to the Earth’s 24-hour rotation (Bass and Lazar, 2016). Earth rotation around the axis in about 24-hour results in robust daily environmental cycles, including day-night cycles, followed by light-dark cycles and temperature oscillation. Thus, the circadian rhythms can be rephrased as adaptive biological systems to cyclic environmental changes. The circadian rhythms appear at any levels of biological processes from molecular to behavioral levels, including sleep-wake cycles, endocrine secretion, metabolism, and immunity (Green et al., 2008; Curtis et al., 2014; Panda, 2016; Top and Young, 2017). These biological rhythms need to be well aligned and harmonized with external environmental cycles for health maintenance – i.e., the disruption of the circadian rhythms is critically detrimental for physical health conditions (Knutsson, 2003; Fonken et al., 2010; Masri and Sassone-Corsi, 2018; Sato and Sassone-Corsi, 2021). The misaligned circadian rhythms have been reported to lead to multiple disease onset and progression, including obesity, type 2 diabetes, cardiovascular diseases, cancer, systemic inflammatory diseases, and psychiatric disorders (Mason et al., 2020; Zhang et al., 2020a; Allada and Bass, 2021). In support of this review, a link exists between clock-controlled functions and lung pathophysiology, and thus the disruption of circadian rhythms leads to lung inflammatory diseases including chronic obstructive pulmonary disease (COPD), asthma, and smoking-stimulated inflammation (Sundar et al., 2015). Chronic disruption of the circadian rhythms is often found in people with shift working and traveling to a different time zone. Epidemiologic studies have revealed a robust relationship between shift workers and many types of diseases, all of which are highly associated with systemic inflammation (Knutsson, 2003; Lyall et al., 2018; Torquati et al., 2018). The mechanisms behind the development of systemic inflammatory diseases elicited by chronic circadian misalignment are associated with the dysregulation of the innate immune system such as the heightened release of proinflammatory cytokines in response to endotoxic shock by lipopolysaccharide (LPS) (Castanon-Cervantes et al., 2010). Specifically, isolated peritoneal macrophages harvested from animals under circadian disruption exhibit a robust response to LPS stimulation. At the molecular level, mouse models for circadian disruption show a dysregulation of inflammatory gene expression in macrophages (discussed in the following section) (Gibbs et al., 2012). These insights directly point to the essential contribution of macrophages to the development of systemic inflammatory status following chronic circadian misalignment.
Cyclic environmental cues are aligned with biological molecular clocks. The synchrony of external cues with the internal time-keeping system is required for the regulation of organismal circadian homeostasis. Light is known to act as the most dominant external time giver called zeitgeber in German (LeGates et al., 2014). The light signal is delivered from the retina to the hypothalamic nucleus (SCN) where houses approximately 20 thousand neurons. The SCN molecular clock can be entrained by the light signal from the retina as an external time-givers. The SCN acts as a master pacemaker that coordinates and synchronizes peripheral molecular clock across the entire cells, tissues, and organism. Moreover, circadian behavioral rhythms are orchestrated by a subset of SCN neurons expressing the neuropeptide neuromedin S (NmS). Abolishing the circadian molecular clock of NmS neurons disrupts systemic circadian behavior (Lee et al., 2015; Landgraf et al., 2016). Thus, the loss of appropriate light/dark cycles disrupts circadian biological functions, including irregular temporal oscillation of hormone secretion and gene expression, through the SCN clock.
In addition to the light exposure, the endogenous clock in peripheral tissues is entrained by external environmental and behavioral cues such as sleep-wake cycles, food intake, and physical activity, independent of the SCN clock. For instance, light exposure during the night increases body weight by shifting the time of food intake (Fonken et al., 2010). Moreover, food intake during the biological rest phase contributes to body weight gain, leading to metabolic syndrome (Arble et al., 2009). On the contrary, food intake during the biological active phase prevents mice from high-fat diet-induced obesity and systemic inflammation (Hatori et al., 2012). Thus, circadian timing of behaviors determines health and circadian misalignment of behaviors leads to the onset and progression of diseases and systemic inflammation.
Circadian Clocks: The Molecular Time-Keeping System
The biological rhythms are derived from an intrinsic timekeeping system within organisms, the so-called circadian clock system. The timekeeping system allows the organism to correspond to the cyclic environmental changes, thereby engaging the organismal physiology and behavior in responding to the environmental changes at the right time of the day. The basic structure of the molecular clock system has been discovered and illustrated (Figure 1): The core circadian clock network is operated by a transcriptional-translational feedback loop (TTFL) comprising both positive and negative arms (Takahashi, 2017). The positive arm includes the circadian transcription factor circadian locomotor output cycles kaput (CLOCK) and brain and muscle ARNT-like 1 (BMAL1). Heterodimerized CLOCK : BMAL1 complexes bind to E-box promoter elements at a series of oscillatory genes called clock-controlled genes to drive their transcription. The negative arm includes the circadian repressor PERIOD (PER) and CRYPTOCHROME (CRY) that are transactivated by the positive arm CLOCK : BMAL1. Cellular accumulation of translated PER and CRY proteins reaches a peak during the biological active phase, resulting in the nuclear translocation where the circadian repressors interact with CLOCK and BMAL1 to repress their own transcription. PER and CRY are targeted by the E3 ubiquitin ligase and subsequently degraded by the proteasome, which allows CLOCK and BMAL1 to re-play a new daily cycle of transactivation. Additional feedback loops are also involved in regulating the core circadian network: CLOCK : BMAL1 heterodimers transactivates nuclear receptor Rev-erb and retinoic acid-related orphan receptor (Ror). REV-ERB represses transcription of Clock and Bmal1, while ROR activates transcription of Clock and Bmal1. The clock system is precisely regulated by multiple layers of transcriptional and translational mechanisms. Importantly, the E-box element that CLOCK and BMAL1 binds appears in a broad variety of gene promoters and enhancers, including genes encoding metabolic enzymes. Therefore, in addition to the clock components, thousands of genes are directly targeted by clock proteins, resulting in a robust oscillation of temporal gene expression and protein expression. That is how the circadian clock precisely controls biological rhythms at molecular levels.
Figure 1 Circadian rhythms in immunity. Circadian rhythms appear in multiple physiological responses including immunity, resulting in circadian gating of temporal diverse activity of immune functions. Not only do circadian endocrine and neurotransmitter mechanisms determine diurnal versus nocturnal immune responses but also molecular circadian clock directly trans-regulates cyclic gene expression related to immune functions such as cytokines and pattern recognition receptors (PRRs). Specifically, several circadian transcription factors (activators) and repressors directly interact with the promoter regions of immune genes. Accordingly, misaligned circadian rhythms due to shift work (social jet-lag) and jet-lag disrupt temporal regulation of immune homeostasis and dynamic temporal balance of pro- and anti-inflammation. CLOCK, Circadian locomotor output cycles kaput; BMAL1, Brain and muscle ARNT-like 1; Ror, retinoic acid-related orphan receptor; Cry, Cryptochrome; Per, Period; CCG, clock-controlled gene.
The experiments studying the implication of the circadian clock into biological functions including innate immune systems as well as macrophage functions have been performed in a variety of biological systems but most frequently in small rodents. Mice and rats share many common genetic, physiological, and behavioral signatures with humans, many of which exhibit temporal dynamics in a circadian fashion. The crucial differences in the circadian clock system and circadian regulation of biological functions between humans and small rodents are diurnal and nocturnal, respectively. Temporal signatures of molecular rhythms and physiological activities in small rodents exhibit antiphase against diurnal animals (Mure et al., 2018). For instance, the light phase of small rodents corresponds to the rest phase when the positive arm (CLOCK and BMAL1) within the TTFLs drives gene transcription, whilst the dark phase of small rodents corresponds to the active phase when the negative arm (PER and CRY) represses the activity of CLOCK and BMAL1, which are opposite in diurnal animals such as humans. Excluding the difference in the phase of molecular clock activity and subsequent temporal characterization of physiology and behavior, small rodents are useful experimental materials to study how the circadian clock governs macrophage functions. Experimental small rodents are housed under temperature- and light/dark cycle-controlled environments. Most animal experiments have been done under 12h light/dark cycles, considering natural light/dark cycles. Since light is the dominant external time cue (zeitgeber), the timing when the light turns on and off is defined as zeitgeber time (ZT) 0 and ZT12, respectively. Essentially, ZT0-12 and ZT12-24 are considered as the rest phase and the active phase in nocturnal animals, respectively. Accordingly, small rodents serve as a comparative model of human circadian biological studies. The basic guideline of how to perform circadian animal experiments is available elsewhere (Eckel-Mahan and Sassone-Corsi, 2015).
Circadian Clock Regulation of Inflammatory Functions of Macrophages
A series of inflammatory cytokines exhibit robust daily rhythms at the transcriptional and secretory levels (Gibbs et al., 2012). The response of gene expression as well as secretion of inflammatory cytokines including interleukin-6 (IL-6), IL-12, C-C-motif chemokine ligand 2 (CCL2), CCL5, and C-X-C-motif chemokine ligand 1 (CXCL1) to LPS stimulation in peritoneal exudate cells (PECs), which are predominantly macrophage, is dependent on the daily timing of LPS stimulation. The time-of-day variation of inflammatory cytokines in response to LPS stimulation is eliminated in the mice lacking circadian molecular rhythms. The induction of inflammatory cytokines is suppressed by the pharmacological activation of the circadian repressor REV-ERBα, indicating the circadian clock REV-ERBα mediates the regulation of inflammatory cytokines. Whether REV-ERBα directly or indirectly modulates the expression of inflammatory cytokines has been an outstanding question to accumulate molecular insight into the circadian clock regulation of inflammatory functions. Using pharmacological and genetic targeting in murine macrophages, the author’s group previously revealed that REV-ERBα is a direct repressor of Ccl2 (also known as monocyte chemoattractant protein-1 (MCP-1)) gene (Sato et al., 2014b). REV-ERBα is found to directly bind a ROR response element at the promoter region of Ccl2 gene. Consequently, REV-ERBα suppresses CCL2-activated intracellular mitogen-activated protein kinase (MAPK) pathways, including extracellular signal-regulated kinase (ERK) and p38, resulting in impaired cell adhesion and migration of macrophages. In contrast, RORα transactivates Ccl2 gene via a direct interaction with Ccl2 promoter and consequently, thereby activating the downstream pathways. Furthermore, mice lacking Rev-erbα display increases in Ccl2 gene expression in peritoneal macrophages. In addition to Ccl2 gene, Il-6 gene is also identified not only as a direct target of REV-ERBα and RORα but also as an indirect target of REV-ERBα and RORα through modulation of nuclear factor-kappa B (NF-κB) activity (Sato et al., 2014a). Thus, transcriptional regulation of inflammatory cytokines by the circadian clock REV-ERBα and RORα represents the molecular mechanism by which the circadian clock orchestrates innate immunity and points to the link between impaired clockwork and chronic inflammation. Moreover, an investigation of the implication of the circadian clock into pattern recognition receptors (PRRs) leads to the discovery of how the circadian clock controls toll-like receptor (TLR) 9-mediated innate and adaptive immunity of macrophages (Silver et al., 2012). Direct binding of circadian transcription factor CLOCK : BMAL1 is essential for circadian gene expression of Tlr9 in peritoneal macrophages. Strikingly, the response to TLR9 ligand exhibits robust time-of-day variation: 1) the time-of-day determines diseases severity in a TLR9-dependent sepsis model, and 2) timing of immunization determines TLR9 ligand-adjuvanted vaccine responsiveness. These findings demonstrated the biological molecular clock-driven circadian oscillation of immune functions of macrophages.
Circadian Control of Inflammatory Functions Through Neuroendocrine Mechanisms
Circadian regulation of the sympathetic nervous system and endocrine secretion results in temporal dynamics of immune responses not only in macrophages but also broad immune cells (Figure 1). Of note, adrenergic systems, including the catecholamine neurotransmitter adrenaline and noradrenaline and hormonal mechanisms through the hypothalamic-pituitary-adrenal-axis (HPA axis), receive inputs from the external environment as well as internal biological clock machinery and send signals to immune cells, including macrophages (Nakai et al., 2014; Leach and Suzuki, 2020). Specifically, β2-adrenergic G-protein-coupled receptor-mediated signals play a key role in the circadian regulation of the adaptive immune response by modulating diurnal lymphocyte recirculation through lymph nodes. Since β2-adrenergic receptor regulates the innate immune response of macrophages by modulating TLR4 signaling (Kizaki et al., 2008; Kizaki et al., 2009), β2-adrenergic receptor signaling may coordinate circadian variation of macrophage functions. In relation to the role played by G-protein-coupled receptors in the circadian regulation of immune functions, circadian repressors CRY1/2 suppresses the adenylyl cyclase activity and cAMP generation, thereby inhibiting NF-κB activity through dephosphorylation of NF-κB p65 at serine 276 in macrophages (Narasimamurthy et al., 2012).
Another line of evidence is the intertwined link between glucocorticoid and immune activity (Shimba and Ikuta, 2020). Glucocorticoid is known as an ‘awake hormone’ and blood circulatory glucocorticoid levels oscillate with a peak in the early morning and trough at night in humans. Light-dark cycles are the critical regulator of circadian glucocorticoid secretion. Light stimuli are transmitted to the SCN in the hypothalamic region where secrets corticotropin-releasing hormone (CRH). CRH stimulates the anterior pituitary, leading to the secretion of adrenocorticotropic hormone (ACTH) which then stimulates the adrenal cortex to produce glucocorticoids. Glucocorticoids bind to glucocorticoid receptor ubiquitously expressed in most cells throughout the body, resulting in a broad range of physiological responses (Huang et al., 2010). The role of glucocorticoid signals in reprogramming the circadian molecular clock machinery has been well established. Glucocorticoid and the receptor complex directly interact with the promoter of clock genes, such as Per1 and Per2, and regulate the circadian gene expression (Torra et al., 2000; So et al., 2009; Cheon et al., 2013). On the other hand, the circadian repressor CRY1/2 interacts with glucocorticoid receptors and alters the transcriptional response to glucocorticoids (Lamia et al., 2011). Glucocorticoid exerts strong anti-inflammatory and immunosuppressive effects and thereby are widely used for the treatment of inflammatory and autoimmune diseases (Farrell and Kelleher, 2003). The robust circadian oscillation of circulatory glucocorticoid results in the circadian regulation of inflammatory cytokine and chemokine expression, which governs the cyclic activity of systemic inflammation and immune response. For instance, CXCL5 is identified as a key molecule linking the circadian clock machinery in pulmonary epithelial cells to glucocorticoid action (Gibbs et al., 2014). In addition, glucocorticoid induces T cell migration into the spleen from blood and enhances immune response during the biological active phase through IL-7R and CXCR4 (Shimba et al., 2018). Glucocorticoid also shifts the phenotype of macrophages (van de Garde et al., 2014), indicating temporal remodeling of macrophage polarization and functions through the glucocorticoid-dependent mechanisms.
Metabolism and Circadian Timing: Determinants of Macrophage Functions
Chronic and systemic inflammation is closely linked to aging and obesity and is a potent contributor to metabolic diseases, cardiovascular diseases, neurodegenerative diseases, musculoskeletal disorders, and cancer (Freund et al., 2010; Osborn and Olefsky, 2012). Chronically inflamed tissues are characterized by the presence of infiltration of inflammatory cells, such as macrophages (Nathan, 2002). Recent evidence accumulated during the past decade has revealed how pathogenic and inflammatory signals drive macrophage differentiation toward “attacking” phenotype by modulating macrophage signaling pathways and consequent gene programs (Galván-Peña and O’Neill, 2014; Kelly and O’Neill, 2015; Jing et al., 2020; Liu et al., 2021). Besides pathogenic and inflammatory signals, nutritional challenges and nutrient signals also reprogram macrophage functions (Olefsky and Glass, 2010). Specifically, free fatty acids derived from adipocytes and hepatocytes act as ligands against TLR4 and activate macrophages leading to the infiltration of activated macrophages into metabolic tissues (Shi et al., 2006; Nguyen et al., 2007). In support of this notion, physical exercise reverts the high-fat diet-induced inflammatory phenotype of macrophages (Kizaki et al., 2011). Since the daily timing has been demonstrated as a critical variable of metabolic outcomes from food intake and physical exercise (Asher and Sassone-Corsi, 2015; Sato et al., 2019), macrophage functions can be further optimized through rewiring of metabolic pathways at local and systemic levels following when to eat and exercise. In that sense, chronobiology-based behavioral regimens and chrono-nutritional regimens might be effective to sustain anti-inflammatory macrophages, and subsequently, bring a myriad of health benefits. Time-restricted eating is a well-identified strategy aiming at modulating macrophage inflammatory functions mediating the modification of temporal eating behaviors.
In addition to what we eat and how much we eat, when we eat is a critical determinant for metabolic health (Vollmers et al., 2009; Hatori et al., 2012; Chaix et al., 2014; Zarrinpar et al., 2014; Asher and Sassone-Corsi, 2015; Gill et al., 2015; Longo and Panda, 2016; Zarrinpar et al., 2016; Manoogian and Panda, 2017; Melkani and Panda, 2017; Chaix et al., 2019a; Chaix et al., 2019b; Manoogian et al., 2019; Wilkinson et al., 2020; Chaix et al., 2021). Specifically, a time-restricted feeding regimen limiting food access only during the biological active phase without reducing caloric intake prevents high-fat diet-induced metabolic diseases and systemic inflammation. The elevation of macrophage inflammatory cytokine markers in white adipose tissue upon a high-fat diet feeding is disappeared under a time-restricted feeding regimen (Hatori et al., 2012). More critically, macrophage infiltration in response to high-fat diet feeding is dramatically suppressed by time-restricted feeding (Delahaye et al., 2018). Most importantly, time-restricted feeding, conceptionally equal to eating at the biological active time, alters innate immune activity and reduces inflammation both in mice and humans (Cissé et al., 2018; Moro et al., 2020). Thus, there is an indirect contribution of the circadian clock to macrophage functions: circadian clock regulation of metabolic homeostasis characterizes inflammatory signatures of macrophages.
Next we summarize below the latest evidence of how macrophages act against specific pathogenic infections, and how the circadian clock modulates the role played by macrophages in the immune responses.
Major Causes of Acute Lower Respiratory Tract Infections (LRTIs): Risk of Circadian Rhythm Disturbances
According to estimates by the World Health Organization (WHO) in 2019, among communicable diseases, acute LRTIs are the deadliest and killing 2.6 million people around the world, making it the fourth leading cause of death (WHO, 2020). Pneumonia is the major cause of death since it causes respiratory failure by filling the alveoli with fluids and pus that result from inflammation (WHO, 2019). Pathogenic microorganisms that develop pneumonia include bacteria, viruses, and fungi. Among these, S. pneumoniae is the most frequent bacterial cause of pneumonia. Indeed, in all generations, S. pneumoniae accounted for around 50% of the pathogens that caused deaths, contributing to far more deaths than all other major etiologies combined (respiratory syncytial virus, H. influenzae type b, and influenza) (GBD 2016 Lower Respiratory Infections Collaborators, 2018). Seasonal influenza is epidemic every winter, resulting annually in 290,000 to 500,000 deaths from respiratory illness (WHO, 2018). In particular, influenza A viruses have a high mutagenic capacity to generate new strains that can escape from acquired immunity, which has led to a pandemic every few decades. The ongoing pandemic is coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). According to worldwide monitoring by the WHO, as of January 2022, confirmed cases of deaths have risen to more than 5 million (WHO, 2021). Remarkably, shift workers are reported to be at a higher risk of developing COVID-19 (Fatima et al., 2021; Maidstone et al., 2021). Even before the COVID-19 pandemic, shift work has been closely associated with the incidence and severity of influenza-like illness and acute respiratory infection (Loef et al., 2019; Loef et al., 2020). Accordingly, the disruption of circadian rhythms is more likely to suffer severe illness by exacerbating the replication or proliferation of pathogens and resultant pneumonia.
Alveolar macrophages are at the forefront of defense against LRTIs and prevent pneumonia by eliminating both airborne pathogens and dead cells through phagocytosis, pro-inflammatory responses, and efferocytosis. Since it has begun to be uncovered that these macrophage functions are precisely adjusted by the circadian clock, increased susceptibility to acute LRTIs and pneumonia due to circadian misalignment can be supposed to be partly caused by macrophage dysfunction.
Role of Macrophage Phagocytosis in Acute LRTIs: Implication of the Circadian Clock
Lung-resident alveolar macrophages play a leading role through phagocytosis in the clearance of airborne microorganisms that enter the alveoli by inspiration. Alveolar macrophages constitutively express macrophage scavenger receptor 1 (MSR1), macrophage receptor with collagenous structure (MARCO), and CD36 which are essential to eliminate both Gram-positive and Gram-negative bacteria (Arredouani et al., 2004; Arredouani et al., 2005; Arredouani et al., 2006; Sharif et al., 2013) (Figure 2). After pathogen recognition by these pattern recognition receptors (PRRs), the engulfment of pathogens requires cytoskeleton remodeling, which is primarily controlled by three Ras homolog (Rho) family small-GTP binding proteins, including Rho family member A (RhoA), Ras-related C3 botulinus toxin substrate 1 (Rac1), and cell division control protein 42 homolog (Mao and Finnemann, 2015). Although the downstream pathways of MSR1 and CD36 have not yet been elucidated, a recent study showed that E. coli interacts with MARCO, which activates Rac1 to initiate filamentous (F)-actin polymerization, filopodia formation, and subsequent engulfment in murine alveolar macrophages (Li et al., 2017) (Figure 2). Notably, aged mice have a weaker expression of Rac1 and reduced phagocytosis (Li et al., 2017).
Figure 2 BMAL1 regulation of macrophage phagocytosis. BMAL1 suppresses bacterial phagocytosis by inhibiting RhoA activation in monocyte/macrophage lineage. (A) CRs require RhoA activation to engulf the antigens. Since peripheral monocytes express CR3, the phagocytic activity of peripheral monocyte-derived macrophages may be strongly regulated by BMAL1. (B) Although the phagocytic activity of alveolar macrophages is also improved by BMAL1 deletion, BMAL1 may regulate the expression of scavenger receptors or other signaling components as alveolar macrophages hardly express CRs. Thus, misaligned circadian rhythms may disturb the autonomic control of macrophage phagocytosis by disrupting temporal variation of BMAL1 expression. CR, complement receptor; BMAL1, brain and muscle ARNT-like 1; MARCO, macrophage receptor with collagenous structure; MSR1, macrophage scavenger receptor 1; Rac1, Ras-related C3 botulinus toxin substrate 1; RhoA, Ras homolog family member A.
Several ex vivo studies revealed that the phagocytic activity of macrophages exhibits circadian rhythmicity. Phagocytosis of serum-opsonized zymosan of murine peritoneal exudate macrophages exhibits a circadian variation, whose activity reaches a daily peak during the resting period and a trough during the active period (Hayashi et al., 2007). Murine peritoneal macrophages also have circadian variation in phagocytosis of non-opsonized S. typhimurium (Oliva-Ramírez et al., 2014). Likewise, murine peritoneal resident macrophages elicit greater phagocytic activity against non-opsonized E. coli and S. aureus at the end of the resting period than at the end of the active period, with a similar expression pattern of circadian variation observed in cell surface CD36 expression, whereas circadian oscillations of macrophage phagocytosis are not reproduced using an in vivo intraperitoneal S. aureus infection model (Geiger et al., 2019). Given these results from a series of ex vivo experiments, both tissue-resident and peripheral monocyte-derived macrophages have similar circadian rhythmicity in the core clock gene expression, causing autonomic regulation of phagocytic activity. In particular, the activity augments during the resting period and oscillates in antiphase to diurnal variation in Bmal1 gene expression.
The most recent study uncovered in vivo functional role of BMAL1 in the circadian rhythmicity of macrophage phagocytosis (Figure 2). Myeloid cells-selective BMAL1-deleted mice accelerate bacterial removal and diminish cytokine production in the lung after intranasal S. pneumoniae inoculation at the end of the resting period, which are mediated by enhanced phagocytosis through activation of RhoA in quiescent BMAL1-deficient macrophages (Kitchen et al., 2020). The enhanced phagocytosis by myeloid BMAL1 deletion is particularly pronounced in peritoneal exudate cells during intraperitoneal S. aureus infection and in peritoneal exudate and alveolar macrophages during ex vivo S. aureus challenge, while the effects are moderate and not significant in neutrophils, suggesting that BMAL1 suppresses bacterial phagocytosis by inhibiting RhoA activation especially in monocyte/macrophage lineage (Kitchen et al., 2020). However, there are the complement receptors that require RhoA activation to engulf the antigens (Caron and Hall, 1998). A previous study reported that murine alveolar macrophages hardly express complement receptors CR1/2/3 and their phagocytic activity is not enhanced by complement opsonization (Berger et al., 1994), whereas peripheral monocytes express CR3 (Hughes and Gordon, 1998) and bone marrow-derived macrophages differentiated with macrophage colony-stimulating factor produced pro-inflammatory cytokines in response to complement-opsonized antigens (Acharya et al., 2020). Therefore, it could be a reasonable hypothesis that the augmented phagocytosis in BMAL1-deleted alveolar macrophages is mediated by increased cell surface expression of phagocytic receptors and/or activation of other signaling molecules such as Rac1 rather than RhoA (Figure 2).
In contrast, another latest study comprehensively explored post-transcriptional and post-translational circadian regulation of macrophage functions and provided a novel insight into the underlying machinery of circadian regulation of phagocytosis. In fact, both transcriptome and proteome analyses in murine bone marrow-derived macrophages revealed that only about 15% of the circadian proteome have corresponding mRNA oscillations, suggesting that most of the proteins that exhibit circadian rhythm in macrophages are not directly regulated according to the central dogma (Collins et al., 2021). Moreover, most of enzymes involved in mitochondrial respiration, including complexes I, III, IV, and V, show circadian variability coupled with circadian phagocytic activity, and thus blocking mitochondrial respiration by oligomycin results in the disappearance of the circadian rhythmicity of macrophage phagocytosis against zymosan (Collins et al., 2021). Since the formation and polymerization of F-actin during engulfment requires a continuous supply of ATP, circadian metabolic regulation could largely influence the phagocytic activity of either alveolar or monocyte-derived macrophages.
The mounting evidence strongly indicates that the timing of bacterial inhalation determines whether macrophages can phagocytize and eliminate them effectively. Especially during the resting period, the ability to remove pathogens in the alveoli is supposed to be increased by enhanced phagocytic activity of both alveolar and peripheral monocyte-derived macrophages. Conversely, misalignment of circadian rhythms due to irregular lifestyle such as disrupted sleep-wake cycles may disturb the autonomic control of macrophage phagocytosis by impaired temporal oscillation of core clock gene expression. As described above, macrophage phagocytosis requires not only sufficient expression of phagocytic receptors that recognize pathogens but also the coordinated action of intracellular molecules mediating subsequent engulfment. It should also be noted that the expression patterns of these receptors vary widely depending on the microenvironment where macrophages are differentiated, as has already been explored (Berger et al., 1994; A-Gonzalez et al., 2017; Bruggeman et al., 2019). Moreover, phagocytosis is affected by circadian metabolic regulation. It is therefore expected that the expression and activity of molecules related to phagocytosis as well as post-transcriptional and post-translational regulation will be systematically considered for each cell type to elucidate the whole picture of the circadian control of macrophage phagocytosis.
Role of Macrophage Pro-Inflammatory Responses in Acute LRTIs: Implication of the Circadian Clock
In addition to phagocytosis, alveolar macrophages provoke pro-inflammatory responses by detecting pathogen-associated molecular patterns using a wide variety of PRRs, including TLRs, to facilitate immediate mobilization and activation of phagocytes such as neutrophils and monocytes. The protective role of TLR2, TLR4, and TLR9 against pneumococcal infection is suggested by the results obtained from studies using either TLR2, TLR4, or TLR9 knockout or mutant mice (Branger et al., 2004; Knapp et al., 2004; Albiger et al., 2007) (Figure 3). In particular, TLR4 mutant mice show deteriorated survival rates after inoculation of a non-lethal dose of S. pneumoniae, accompanied by increased bacterial growth, monocyte and lymphocyte infiltration, and interstitial inflammation in the lung (Branger et al., 2004). TLR9 knockout mice develop pulmonary inflammation during S. pneumoniae infection in accordance with wild-type mice, but show worse survival and more bacterial invasion from the bronchoalveolar fluids into lung tissue and bloodstream, with abrogated upregulation of phagocytic activity in alveolar macrophages (Albiger et al., 2007). A recent study also demonstrated that, although mice lacking TLR4 exhibit lower viability and augmented colonization in the lung after intranasal S. pneumoniae inoculation compared to wild-type mice, this exacerbation of infection is accompanied by attenuated pro-inflammatory profile, reduced live alveolar macrophages, diminished infiltration of neutrophils and monocytes, and inhibited differentiation from monocyte into macrophages (Sánchez-Tarjuelo et al., 2020).
Figure 3 Protective roles of TLR2, TLR4, and TLR9 during pulmonary S. pneumoniae infection: implication of the circadian clock. The pro-inflammatory responses via TLR2 signaling play a supporting part in eliciting local inflammation and bactericidal activity against S. pneumoniae. In contrast, initial pro-inflammatory responses via TLR4 signaling in alveolar macrophages contribute to the prompt elimination of S. pneumoniae and the prevention of life-threatening pneumonia. REV-ERBα suppresses the production of pro-inflammatory cytokines (such as IL-6) and chemokines (such as CCL2). TLR9 signaling is indispensable for upregulating the phagocytic activity of alveolar macrophages to prevent systemic transmission of S. pneumoniae. The expression and function of TLR9 are positively regulated by the CLOCK : BMAL1 heterodimer. Therefore, since the pro-inflammatory responses of alveolar macrophages are complexly and precisely controlled by clock components, the disruption of circadian rhythms may lead to diminished ability to eliminate bacteria and consequent exacerbation of pneumonia. BMAL1, brain and muscle ARNT-like 1; CCL2, C-C motif chemokine ligand 2; CLOCK, Circadian locomotor output cycles kaput; IL-6, interleukin 6; TLR, toll-like receptor.
Compared to phagocytosis, circadian clock regulation of pro-inflammatory responses in monocyte/macrophage lineage is more deeply understood (Timmons et al., 2020). As discussed earlier in this review, LPS-induced production of pro-inflammatory cytokines and chemokines by murine peritoneal exudate macrophages shows circadian gating as observed in phagocytosis. The circadian gating and rhythmic expression of REV-ERBα are abolished by myeloid-selective BMAL1 deletion (Gibbs et al., 2012). Moreover, REV-REBα agonist broadly suppresses LPS-stimulated gene expression of pro-inflammatory mediators (Gibbs et al., 2012), and in particular, REV-ERBα is found to repress CCL2 expression by interacting directly with the promoter region (Sato et al., 2014b). REV-ERBα also suppresses LPS-stimulated IL-6 expression in both direct and indirect manners (Sato et al., 2014a). In the human primary cell culture model, the suppression by REV-ERBα is more prominent in alveolar macrophages than in peripheral monocyte-derived macrophages (Gibbs et al., 2012). LPS-stimulated pro-inflammatory responses are also heightened in alveolar macrophages isolated from mice lacking REV-ERBα compared to wild-type mice (Pariollaud et al., 2018). These findings suggest that the core clock component BMAL1 exerts anti-inflammatory effects via REV-ERBα in both alveolar and peripheral monocyte-derived macrophages (Figure 3).
Furthermore, myeloid-selective BMAL1 knockout mice exhibit amplification of LPS-induced NF-κB phosphorylation in peritoneal exudate macrophages isolated at the end of the active period when Bmal1 gene expression reaches a daily peak (Curtis et al., 2015), suggesting that BMAL1 interferes with TLR4 signaling. However, simultaneously, LPS stimulation induces miRNA-155, which provides positive feedback to improve TLR4 signaling by degrading BMAL1 (Curtis et al., 2015). Thus, during bacterial infection, macrophages may be reprogrammed to adequately elicit initial pro-inflammatory responses and phagocytosis by temporarily canceling the anti-inflammatory effects of BMAL1. As another possible mechanism by which pro-inflammatory stimuli can temporarily reprogram macrophage circadian clocks, a variety of diverse agonists such as interferon γ (IFN-γ), tumor necrosis factor-α, LPS, and Pam3CSK4 (TLR2/1 heterodimer agonist) dampens serum shock-induced oscillation of Per2 and Rev-erbα transcripts in different manners in murine bone marrow-derived and peritoneal exudate macrophages (Chen et al., 2020). This suggests that pro-inflammatory agonists provide positive feedback to improve downstream signaling of their receptors by attenuating the oscillations of these negative-arm clock components in macrophages.
An in vivo study has addressed the impact of lethal systemic endotoxemia on the reprogramming of circadian rhythms in the lung. During the two days from the onset of endotoxemia at the late resting phase to death, the circadian expression rhythm of the Bmal1 gene becomes arrhythmic and remains at a high level in the lung, while that of the Rev-erbα gene shows a distorted but rhythmic pattern compared to healthy lungs (Haspel et al., 2014). The number of neutrophils exhibits lung-specific diurnal variation with larger amplitude, which remains rhythmic also during endotoxemia, but the mobilization and circadian pattern disappeared in Bmal1-deleted lungs (Haspel et al., 2014). Notably, alveolar macrophages exhibit slight but significant chronotypes in healthy lungs. Since alveolar macrophages are self-maintained by the paracrine action of granulocyte-macrophage colony-stimulating factor secreted by epithelial cells (Schneider et al., 2014b), the maintenance of alveolar macrophages could be circadian regulated. Although the reprogramming manner observed in vivo and in vitro findings is likely to differ due to complicated interactions with tissue structure cells, it is expected to elucidate the in vivo circadian reprogramming in the functions of alveolar and monocyte-derived macrophages during pulmonary infection.
It has also been reported that BMAL1 determines the extent of local inflammation through the regulation of peripheral inflammatory monocyte trafficking. The number of inflammatory monocytes in circulating blood displays circadian rhythmicity, with a daily peak during the resting period and a daily through during the active period, and in fact, the efficiency of inflammatory monocyte infiltration, bacterial removal, and pro-inflammatory responses after peritoneal inoculation with L. monocytogenes is higher at the middle of the resting period ZT 8 than at the beginning of the resting period (ZT 0) (Nguyen et al., 2013). However, myeloid-selective BMAL1 deletion abolishes this rhythmicity and constantly changes the inflammatory monocyte count to a high state by canceling the suppression of CCL2 expression, resulting in exacerbated inflammation and worse survival after peritoneal infection (Nguyen et al., 2013). In addition, the REV-ERB isoforms repress the expression of the Mmp9 and Cxc3cr1 genes, which regulate cellular infiltration and migration, by inhibiting the transcription of their non-coding RNAs that act as enhancers in murine macrophage lineages, including bone marrow-derived and peritoneal exudate macrophages (Lam et al., 2013), strongly indicating that the degree of monocyte infiltration during pulmonary infection and the resulting pathogen clearance and/or pneumonia are also controlled by the circadian clock. On the other hand, regarding pulmonary fibrosis, REV-ERBα in fibroblasts but not in myeloid cells serve a major role in the development (Cunningham et al., 2020). Thus, the function of REV-ERBα is cell-selective, and the disruption of its rhythmicity leads to different disorders.
For DNA viruses, the BMAL1:CLOCK heterodimer exerts anti-viral activity without modification of the TLR signaling. That is, REV-ERBα inhibits hepatitis B virus replication by interacting with the E-box motifs of viral DNA (Zhuang et al., 2021). In terms of double-stranded RNA (dsRNA) viruses such as influenza A virus and SARS-CoV-2, the dsRNA replicated intracellularly after infection is detected by endosomal TLR3, which drives the production of type I IFNs (Kawasaki and Kawai, 2014). As IFN receptors are ubiquitously expressed, IFN-α/β act on both infected and neighboring cells to induce the expression of hundreds of IFN-stimulated genes, including products that inhibit viral replication. In murine spleen, TLR3 protein levels and responsiveness to its ligand poly(I:C) exhibit time-of-day specificity, albeit with being not observed in splenic macrophages (Silver et al., 2018). Taking COVID-19 as an example, it has been under argument whether the initial type I IFN responses mediated by TLR3 are sufficiently involved in the onset and aggravation of COVID-19 or not. For instance, people with a mutation of TLR3 or IFN-α receptor (Zhang et al., 2020b) and with autoantibody against IFN-α (Bastard et al., 2020) have a higher risk of COVID-19 exacerbation. SARS-CoV-2 proteins ORF-3b and ORF-6 have also been identified to suppress type I IFN induction (Konno et al., 2020; Kimura et al., 2021). Therefore, elucidating the circadian clock regulation of TLR3 signaling in the alveolar microenvironment is crucial in exploring mechanisms by which the disruption of the circadian rhythms increases the risk of developing COVID-19.
Moreover, the effects of an inactivated vaccine against SARS-CoV-2, including neutralizing antibody production, B lymphocyte and follicular helper T lymphocyte responsiveness, monocyte and dendritic cell infiltration, and memory B lymphocyte count, are reported to be higher when inoculated in the morning than in the afternoon (Barnoud et al., 2021; Zhang et al., 2021). According to the recent findings, envelop protein, spike protein, and RNA derived from SARS-CoV-2 were sensed by TLR2 (Zheng et al., 2021), TLR4 (Shirato and Kizaki, 2021; Zhao et al., 2021), and TLR3/7 (Bortolotti et al., 2021; Salvi et al., 2021), respectively. It is presumed that the circadian control of TLR signaling in tissue-resident macrophages specify the time window of vaccine effect.
Role of Macrophage Efferocytosis in Acute LRTIs: Implication of the Circadian Clock
Alveolar macrophage-depleted mice show severe manifestations after pulmonary infection with a non-lethal dose of influenza A virus, despite the fact that virus clearance is not largely impaired, which indicates their contribution to host survival via suppressing excessive pulmonary inflammation by removing endogenous apoptotic cells (termed efferocytosis) (Schneider et al., 2014a). Macrophages perform efferocytosis primarily using the tyrosine receptor kinases Tyro 3, Axl, and proto-oncogene c-mer tyrosine kinase (MerTK) (collectively abbreviated as TAM) as phosphatidylserine receptors (Seitz et al., 2007) (Figure 4). Murine alveolar macrophages highly express Axl and MerTK, but little or no expressions in lung-mobilized monocytes (Mohning et al., 2018). Human alveolar macrophages also predominantly express Axl and peripheral monocytes do not express either Axl or MerTK (Grabiec et al., 2017). Although Axl knockout mice manifest no inflammatory disorders under healthy condition, they show exaggerated severity during pulmonary infection with influenza A virus, accompanied by increased accumulation of apoptotic cells, elevated infiltration of neutrophils and T-lymphocytes, and promoted secretion of pro-inflammatory cytokines and chemokines, while virus clearance is not compromised (Fujimori et al., 2015). Similar to pathogen recognition by phagocytic receptors like MARCO, the ligation of TAM receptors results in activating Rac1, leading to membrane ruffling to engulf apoptotic bodies (Todt et al., 2004; Wu et al., 2005) (Figure 4).
Figure 4 Possible circadian regulation of efferocytosis by alveolar macrophage. Alveolar macrophages have remarkable efferocytosis activity mediated by the TAM receptors. There is still no evidence of whether the efferocytosis activity of alveolar macrophages is circadian regulated. However, augmented activation of RhoA due to BMAL1 deprivation can lead to a marked decrease in efferocytosis activity of alveolar macrophages by inhibiting Rac1 activity. In addition, since glucocorticoids augment efferocytosis, macrophage efferocytosis may also be influenced by circadian rhythmicity of hypothalamic-pituitary-adrenal (HPA) axis activity. Therefore, there is a possibility that the immunomodulatory effects of intracellular clock genes and the diurnal oscillation of sympathetic-pituitary-adrenal axis activity determine the severity of pneumonia during virus infection by controlling the clearance of apoptotic bodies. BMAL1, brain and muscle ARNT-like 1; Rac1, Ras-related C3 botulinus toxin substrate 1; RhoA, Ras homolog family member A; TAM, Tyro 3, Axl, and proto-oncogene c-mer tyrosine kinase.
Circadian rhythms of macrophage efferocytosis are observed in a series of studies exploring the mechanism of leukocyte turnover. It has long been known that the number of various leukocytes in circulating blood shows diurnal variation, and that of circulating lymphocyte exhibited a phase-delay following altered plasma corticosterone levels in Clock mutant mice (Oishi et al., 2006). The absolute count of circulating neutrophils also fluctuates in a circadian fusion, with the active release of young neutrophils between ZT 17 to ZT 5 and clearance of aged neutrophils between ZT 5 and ZT 13 in mice (Casanova-Acebes et al., 2013). In particular, circulating neutrophils are replaced into young neutrophils within a new daily cycle starting from ZT 17 while aged neutrophils virtually disappear from the blood. MerTK transcript in the bone marrow shows a circadian fluctuation in antiphase with the regenerative activity of circulating neutrophils, whereas this fluctuation is accompanied by enhanced transcriptional activity of the liver X receptor in bone marrow-resident macrophages that engulfed accumulated aged neutrophils (Casanova-Acebes et al., 2013). That is, in the case of aged neutrophil clearance in the bone marrow, efferocytosis activity of resident macrophage is regulated by diurnal turnover of neutrophils rather than the intracellular circadian clock genes.
Another outstanding experimental model is capable of live cell monitoring of endogenous cell clearance activity of tissue-resident macrophages by conjoining the blood circulation of CD45.2 DsRedTg (circulating leukocytes fluorescently tagged) mice to their partner non-fluorescence CD45.1 mice. This study revealed the proportion of macrophages that engulfed fluorescent leukocytes is higher at the end of the resting period (ZT 11) than in the beginning (ZT 3) in a wide range of tissues including the bone marrow, spleen, intestine, and lung interstitium of the partner mice (A-Gonzalez et al., 2017). Unfortunately, no activity in alveolar macrophages is observed in this model (A-Gonzalez et al., 2017), since alveolar macrophages are not replenished by peripheral progenitor cells after the fetal period (Schneider et al., 2014b) and leukocytes do not infiltrate into the alveoli unless infected or toxic. The circadian gating of macrophage clearance activity is similar to that of macrophage phagocytosis of bacteria (Hayashi et al., 2007; Geiger et al., 2019; Kitchen et al., 2020), indicating the possibility that the clearance activity for aged cell may be also dependent on core clock components such as BMAL1 in tissue-resident macrophages. However, although apoptosis has traditionally been thought to be the predominant form of cell death involved in homeostatic cellular turnover (Nagata et al., 2010), little is known whether fluorescent leukocytes engulfed by tissue-resident macrophages caused apoptotic cell death. Thus, it is still uncertain whether the endogenous cell clearance ability observed in this study reflects efferocytosis activity.
As already introduced in the above section, BMAL1 deletion in macrophages increases RhoA activity, leading to the improvement of phagocytosis against bacteria (Kitchen et al., 2020). Since RhoA activity is indispensable for complement receptor-mediated phagocytosis (Caron and Hall, 1998), the immunomodulatory effect may seem to be beneficial for bacterial removal from the alveoli. However, it has been hypothesized that RhoA has the opposite role to Rac1 in efferocytosis (Nakaya et al., 2006). Indeed, the decrease in efferocytosis activity due to abnormally increased RhoA expression is ameliorated by pharmacological inhibition of RhoA (Vandivier et al., 2009). Therefore, augmented activation of RhoA due to BMAL1 deficiency can lead to a marked decrease in efferocytosis activity in macrophages, which may increase the risk of exacerbating pneumonia during viral infections (Figure 4). In addition, glucocorticoids have long been known to be the hormonal factors that not only suppress the pro-inflammatory signaling but also promote macrophage efferocytosis (Giles et al., 2001). As plasma glucocorticoid levels exhibit circadian fluctuations (Oishi et al., 2006; Cuesta et al., 2017), macrophage efferocytosis may also be influenced by circadian rhythmicity of HPA axis activity (Figure 4). To date, there is still no direct evidence of whether the efferocytosis activity of alveolar macrophages is circadian regulated. Based on the latest insight, however, there is a possibility that the immunomodulatory effects of molecular clock components and the diurnal oscillation of HPA axis activity may determine the severity of pneumonia during virus infection by controlling the clearance of apoptotic bodies.
Conclusion
Since 2019, the COVID-19 pandemic has been a world-wide health problem and torturing us. The coronavirus initiates pneumonia or systemic inflammatory responses and macrophages play essential roles in both the defense system and exacerbation process. This review summarizes how macrophages are activated through various pathogens and commit to the clearance of bacteria, fungi, and viruses, including coronavirus, especially focusing on the key functions such as phagocytosis, pro-inflammatory response, and efferocytosis. We also provide perspective on the implication of the time-of-day and the circadian clock into macrophage responses to pathogens, while carefully distinguishing between alveolar macrophages and peripheral monocyte-derived macrophages. The review not only paves the way for a better understanding of the role of macrophages in inflammatory responses but also generate a new hypothesis to determine how the time of day differentially specifies inflammatory responses of macrophages against acute LRTIs. We hope this review could help to end the battle with the pandemic, summarizing the evidence of time-for-macrophages in inflammatory responses.
Author Contributions
KS and SS wrote the manuscript. All authors contributed to the article and approved the submitted version.
Funding
SS is supported by the Brain & Behavioral Research Foundation (NARSAD Young Investigator Grant, 28681) and the start-up funds from Texas A&M University. KS is funded by a Grant-in-Aid for Scientific Research (C) (21K11472) from the Ministry of Education, Culture, Sports, Science and Technology, Japan and a Research Grant for Young Investigators from Kyorin University School of Medicine.
Conflict of Interest
The authors 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.
Acknowledgments
We would like to express our deepest gratitude to Dr. Takako Kizaki (Professor, Kyorin University School of Medicine, Mitaka, Japan) and Dr. Kazuhiko Imaizumi (Professor Emeritus, Faculty of Human Sciences, Waseda University, Tokorozawa, Japan) for their consistent guidance on macrophage biology and physiological science, respectively. Figures were created with BioRender.com.
References
Acharya, D., Li, X. R. L., Heineman, R. E., Harrison, R. E. (2020). Complement Receptor-Mediated Phagocytosis Induces Proinflammatory Cytokine Production in Murine Macrophages. Front. Immunol. 10. doi: 10.3389/fimmu.2019.03049
A-Gonzalez, N., Quintana, J. A., García-Silva, S., Mazariegos, M., González de la Aleja, A., Nicolás-Ávila, J. A., et al. (2017). Phagocytosis Imprints Heterogeneity in Tissue-Resident Macrophages. J. Exp. Med. 214, 1281–1296. doi: 10.1084/jem.20161375
Albiger, B., Dahlberg, S., Sandgren, A., Wartha, F., Beiter, K., Katsuragi, H., et al. (2007). Toll-Like Receptor 9 Acts at an Early Stage in Host Defence Against Pneumococcal Infection. Cell. Microbiol. 9, 633–644. doi: 10.1111/j.1462-5822.2006.00814.x
Allada, R., Bass, J. (2021). Circadian Mechanisms in Medicine. N. Engl. J. Med. 384, 550–561. doi: 10.1056/NEJMra1802337
Arble, D. M., Bass, J., Laposky, A. D., Vitaterna, M. H., Turek, F. W. (2009). Circadian Timing of Food Intake Contributes to Weight Gain. Obesity 17, 2100–2102. doi: 10.1038/oby.2009.264
Arredouani, M. S., Palecanda, A., Koziel, H., Huang, Y. C., Imrich, A., Sulahian, T. H., et al. (2005). MARCO Is the Major Binding Receptor for Unopsonized Particles and Bacteria on Human Alveolar Macrophages. J. Immunol. 175, 6058–6064. doi: 10.4049/jimmunol.175.9.6058
Arredouani, M. S., Yang, Z., Imrich, A., Ning, Y., Qin, G., Kobzik, L. (2006). The Macrophage Scavenger Receptor SR-AI/II and Lung Defense Against Pneumococci and Particles. Am. J. Respir. Cell Mol. Biol. 35 (4), 474–478. doi: 10.1165/rcmb.2006-0128OC
Arredouani, M., Yang, Z., Ning, Y., Qin, G., Soininen, R., Tryggvason, K., et al. (2004). The Scavenger Receptor MARCO Is Required for Lung Defense Against Pneumococcal Pneumonia and Inhaled Particles. J. Exp. Med. 200, 267–272. doi: 10.1084/jem.20040731
Asher, G., Sassone-Corsi, P. (2015). Time for Food: The Intimate Interplay Between Nutrition, Metabolism, and the Circadian Clock. Cell 161, 84–92. doi: 10.1016/j.cell.2015.03.015
Barnoud, C., Wang, C., Scheiermann, C. (2021). Timing Vaccination Against SARS-CoV-2. Cell Res. 31, 1146–1147. doi: 10.1038/s41422-021-00559-w
Bass, J., Lazar, M. A. (2016). Circadian Time Signatures of Fitness and Disease. Science 354, 994–999. doi: 10.1126/science.aah4965
Bastard, P., Rosen, L. B., Zhang, Q., Michailidis, E., Hoffmann, H. H., Zhang, Y., et al. (2020). Autoantibodies Against Type I IFNs in Patients With Life-Threatening COVID-19. Science 370, eabd4585. doi: 10.1126/science.abd4585
Berger, M., Norvell, T. M., Tosi, M. F., Emancipator, S. N., Konstan, M. W., Schreiber, J. R. (1994). Tissue-Specific Fc γ and Complement Receptor Expression by Alveolar Macrophages Determines Relative Importance of IgG and Complement in Promoting Phagocytosis of Pseudomonas Aeruginosa. Pediatr. Res. 35, 68–77. doi: 10.1203/00006450-199401000-00015
Bharat, A., Bhorade, S. M., Morales-Nebreda, L., McQuattie-Pimentel, A. C., Soberanes, S., Ridge, K., et al. (2016). Flow Cytometry Reveals Similarities Between Lung Macrophages in Humans and Mice. Am. J. Respir. Cell Mol. Biol. 54, 147–149. doi: 10.1165/rcmb.2015-0147LE
Bortolotti, D., Gentili, V., Rizzo, S., Schiuma, G., Beltrami, S., Strazzabosco, G., et al. (2021). TLR3 and TLR7 RNA Sensor Activation During SARS-CoV-2 Infection. Microorganisms 9, 1820. doi: 10.3390/microorganisms9091820
Boyd, A. R., Shivshankar, P., Jiang, S., Berton, M. T., Orihuela, C. J. (2012). Age-Related Defects in TLR2 Signaling Diminish the Cytokine Response by Alveolar Macrophages During Murine Pneumococcal Pneumonia. Exp. Gerontol. 47, 507–518. doi: 10.1016/j.exger.2012.04.004
Branger, J., Knapp, S., Weijer, S., Leemans, J. C., Pater, J. M., Speelman, P., et al. (2004). Role of Toll-Like Receptor 4 in Gram-Positive and Gram-Negative Pneumonia in Mice. Infect. Immun. 72, 788–7894. doi: 10.1128/IAI.72.2.788-794.2004
Bruggeman, C. W., Houtzager, J., Dierdorp, B., Kers, J., Pals, S. T., Lutter, R., et al. (2019). Tissue-Specific Expression of IgG Receptors by Human Macrophages Ex Vivo. PloS One 14, e0223264. doi: 10.1371/journal.pone.0223264
Caron, E., Hall, A. (1998). Identification of Two Distinct Mechanisms of Phagocytosis Controlled by Different Rho GTPases. Science 282, 1717–1721. doi: 10.1126/science.282.5394.1717
Casanova-Acebes, M., Pitaval, C., Weiss, L. A., Nombela-Arrieta, C., Chèvre, R., A-González, N., et al. (2013). Rhythmic Modulation of the Hematopoietic Niche Through Neutrophil Clearance. Cell 153, 1025–1035. doi: 10.1016/j.cell.2013.04.040
Castanon-Cervantes, O., Wu, M., Ehlen, J. C., Paul, K., Gamble, K. L., Johnson, R. L., et al. (2010). Dysregulation of Inflammatory Responses by Chronic Circadian Disruption. J. Immunol. 185, 5796–5805. doi: 10.4049/jimmunol.1001026
Cermakian, N., Stegeman, S. K., Tekade, K., Labrecque, N. (2021). Circadian Rhythms in Adaptive Immunity and Vaccination. Semin. Immunopathol. doi: 10.1007/s00281-021-00903-7
Chaix, A., Deota, S., Bhardwaj, R., Lin, T., Panda, S. (2021). Sex- and Age-Dependent Outcomes of 9-Hour Time-Restricted Feeding of a Western High-Fat High-Sucrose Diet in C57BL/6J Mice. Cell Rep. 36, 109543. doi: 10.1016/j.celrep.2021.109543
Chaix, A., Lin, T., Le, H. D., Chang, M. W., Panda, S. (2019a). Time-Restricted Feeding Prevents Obesity and Metabolic Syndrome in Mice Lacking a Circadian Clock. Cell Metab. 29, 303–319.e304. doi: 10.1016/j.cmet.2018.08.004
Chaix, A., Manoogian, E. N. C., Melkani, G. C., Panda, S. (2019b). Time-Restricted Eating to Prevent and Manage Chronic Metabolic Diseases. Annu. Rev. Nutr. 39, 291–315. doi: 10.1146/annurev-nutr-082018-124320
Chaix, A., Zarrinpar, A., Miu, P., Panda, S. (2014). Time-Restricted Feeding Is a Preventative and Therapeutic Intervention Against Diverse Nutritional Challenges. Cell Metab. 20, 991–1005. doi: 10.1016/j.cmet.2014.11.001
Chen, S., Fuller, K. K., Dunlap, J. C., Loros, J. J. (2020). A Pro- and Anti-Inflammatory Axis Modulates the Macrophage Circadian Clock. Front. Immunol. 11. doi: 10.3389/fimmu.2020.00867
Cheon, S., Park, N., Cho, S., Kim, K. (2013). Glucocorticoid-Mediated Period2 Induction Delays the Phase of Circadian Rhythm. Nucleic Acids Res. 41, 6161–6174. doi: 10.1093/nar/gkt307
Cissé, Y. M., Borniger, J. C., Lemanski, E., Walker, W. H., Nelson, R. J. (2018). Time-Restricted Feeding Alters the Innate Immune Response to Bacterial Endotoxin. J. Immunol. 200, 681–687. doi: 10.4049/jimmunol.1701136
Collins, E. J., Cervantes-Silva, M. P., Timmons, G. A., O’Siorain, J. R., Curtis, A. M., Hurley, J. M. (2021). Post-Transcriptional Circadian Regulation in Macrophages Organizes Temporally Distinct Immunometabolic States. Genome Res. 31, 171–185. doi: 10.1101/gr.263814.120
Cuesta, M., Boudreau, P., Cermakian, N., Boivin, D. B. (2017). Rapid Resetting of Human Peripheral Clocks by Phototherapy During Simulated Night Shift Work. Sci. Rep. 7, 16310. doi: 10.1038/s41598-017-16429-8
Cunningham, P. S., Meijer, P., Nazgiewicz, A., Anderson, S. G., Borthwick, L. A., Bagnall, J., et al. (2020). The Circadian Clock Protein Reverbα Inhibits Pulmonary Fibrosis Development. Proc. Natl. Acad. Sci. U. S. A. 117, 1139–1147. doi: 10.1073/pnas.1912109117
Curtis, A. M., Bellet, M. M., Sassone-Corsi, P., O’Neill, L. A. (2014). Circadian Clock Proteins and Immunity. Immunity 40, 178–186. doi: 10.1016/j.immuni.2014.02.002
Curtis, A. M., Fagundes, C. T., Yang, G., Palsson-McDermott, E. M., Wochal, P., McGettrick, A. F., et al. (2015). Circadian Control of Innate Immunity in Macrophages by miR-155 Targeting Bmal1. Proc. Natl. Acad. Sci. U. S. A. 112, 7231–7236. doi: 10.1073/pnas.1501327112
Dall’Asta, M., Derlindati, E., Ardigò, D., Zavaroni, I., Brighenti, F., Del Rio, D. (2012). Macrophage Polarization: The Answer to the Diet/Inflammation Conundrum? Nutr. Metab. Cardiovasc. Dis. 22, 387–392. doi: 10.1016/j.numecd.2011.12.010
Davanso, M. R., Crisma, A. R., Murata, G., Newsholme, P., Curi, R. (2020). Impact of Dietary Fatty Acids on Macrophage Lipid Metabolism, Signaling and Function. Immunometabolism 2, e200008. doi: 10.20900/immunometab20200008
Delahaye, L. B., Bloomer, R. J., Butawan, M. B., Wyman, J. M., Hill, J. L., Lee, H. W., et al. (2018). Time-Restricted Feeding of a High-Fat Diet in Male C57BL/6 Mice Reduces Adiposity But Does Not Protect Against Increased Systemic Inflammation. Appl. Physiol. Nutr. Metab. 43, 1033–1042. doi: 10.1139/apnm-2017-0706%M29717885
De Maeyer, R. P. H., Chambers, E. S. (2021). The Impact of Ageing on Monocytes and Macrophages. Immunol. Lett. 230, 1–10. doi: 10.1016/j.imlet.2020.12.003
Duong, L., Radley, H. G., Lee, B., Dye, D. E., Pixley, F. J., Grounds, M. D., et al. (2021). Macrophage Function in the Elderly and Impact on Injury Repair and Cancer. Immun. Ageing 18, 4. doi: 10.1186/s12979-021-00215-2
Eckel-Mahan, K., Sassone-Corsi, P. (2015). Phenotyping Circadian Rhythms in Mice. Curr. Protoc. Mouse Biol. 5, 271–281. doi: 10.1002/9780470942390.mo140229
Farrell, R., Kelleher, D. (2003). Glucocorticoid Resistance in Inflammatory Bowel Disease. J. Endocrinol. 178, 339–346. doi: 10.1677/joe.0.1780339
Fatima, Y., Bucks, R. S., Mamun, A. A., Skinner, I., Rosenzweig, I., Leschziner, G., et al. (2021). Shift Work Is Associated With Increased Risk of COVID-19: Findings From the UK Biobank Cohort. J. Sleep. Res. 30, e13326. doi: 10.1111/jsr.13326
Fonken, L. K., Workman, J. L., Walton, J. C., Weil, Z. M., Morris, J. S., Haim, A., et al. (2010). Light at Night Increases Body Mass by Shifting the Time of Food Intake. Proc. Natl. Acad. Sci. U. S. A. 107, 18664–18669. doi: 10.1073/pnas.1008734107
Freund, A., Orjalo, A. V., Desprez, P.-Y., Campisi, J. (2010). Inflammatory Networks During Cellular Senescence: Causes and Consequences. Trends Mol. Med. 16, 238–246. doi: 10.1016/j.molmed.2010.03.003
Fujimori, T., Grabiec, A. M., Kaur, M., Bell, T. J., Fujino, N., Cook, P. C., et al. (2015). The Axl Receptor Tyrosine Kinase Is a Discriminator of Macrophage Function in the Inflamed Lung. Mucosal. Immunol. 8, 1021–1030. doi: 10.1038/mi.2014.129
Galván-Peña, S., O’Neill, L. A. J. (2014). Metabolic Reprograming in Macrophage Polarization. Front. Immunol. 5. doi: 10.3389/fimmu.2014.00420
GBD 2016 Lower Respiratory Infections Collaborators (2018). Estimates of the Global, Regional, and National Morbidity, Mortality, and Aetiologies of Lower Respiratory Infections in 195 Countrie-2016: A Systematic Analysis for the Global Burden of Disease Study 2016. Lancet Infect. Dis. 18, 1191–1210. doi: 10.1016/S1473-3099(18)30310-4
Geiger, S. S., Curtis, A. M., O’Neill, L. A. J., Siegel, R. M. (2019). Daily Variation in Macrophage Phagocytosis Is Clock-Independent and Dispensable for Cytokine Production. Immunology 157, 122–136. doi: 10.1111/imm.13053
Gibbs, J. E., Blaikley, J., Beesley, S., Matthews, L., Simpson, K. D., Boyce, S. H., et al. (2012). The Nuclear Receptor REV-Erbα Mediates Circadian Regulation of Innate Immunity Through Selective Regulation of Inflammatory Cytokines. Proc. Natl. Acad. Sci. U. S. A. 109, 582–587. doi: 10.1073/pnas.1106750109
Gibbs, J., Ince, L., Matthews, L., Mei, J., Bell, T., Yang, N., et al. (2014). An Epithelial Circadian Clock Controls Pulmonary Inflammation and Glucocorticoid Action. Nat. Med. 20, 919–926. doi: 10.1038/nm.3599
Giles, K. M., Ross, K., Rossi, A. G., Hotchin, N. A., Haslett, C., Dransfield, I. (2001). Glucocorticoid Augmentation of Macrophage Capacity for Phagocytosis of Apoptotic Cells Is Associated With Reduced p130Cas Expression, Loss of Paxillin/Pyk2 Phosphorylation, and High Levels of Active Rac. J. Immunol. 167, 976–986. doi: 10.4049/jimmunol.167.2.976
Gill, S., Le, H. D., Melkani, G. C., Panda, S. (2015). Time-Restricted Feeding Attenuates Age-Related Cardiac Decline in Drosophila. Science 347, 1265–1269. doi: 10.1126/science.1256682
Grabiec, A. M., Denny, N., Doherty, J. A., Happonen, K. E., Hankinson, J., Connolly, E., et al. (2017). Diminished Airway Macrophage Expression of the Axl Receptor Tyrosine Kinase Is Associated With Defective Efferocytosis in Asthma. J. Allergy Clin. Immunol. 140, 1144–1146.e4. doi: 10.1016/j.jaci.2017.03.024
Green, C. B., Takahashi, J. S., Bass, J. (2008). The Meter of Metabolism. Cell 134, 728–742. doi: 10.1016/j.cell.2008.08.022
Haspel, J. A., Anafi, R., Brown, M. K., Cermakian, N., Depner, C., Desplats, P., et al. (2020). Perfect Timing: Circadian Rhythms, Sleep, and Immunity — An NIH Workshop Summary. JCI Insight 5, e131487. doi: 10.1172/jci.insight.131487
Haspel, J. A., Chettimada, S., Shaik, R. S., Chu, J. H., Raby, B. A., Cernadas, M., et al. (2014). Circadian Rhythm Reprogramming During Lung Inflammation. Nat. Commun. 5, 4753. doi: 10.1038/ncomms5753
Hatori, M., Vollmers, C., Zarrinpar, A., DiTacchio, L., Bushong, E. A., Gill, S., et al. (2012). Time-Restricted Feeding Without Reducing Caloric Intake Prevents Metabolic Diseases in Mice Fed a High-Fat Diet. Cell Metab. 15, 848–860. doi: 10.1016/j.cmet.2012.04.019
Hayashi, M., Shimba, S., Tezuka, M. (2007). Characterization of the Molecular Clock in Mouse Peritoneal Macrophages. Biol. Pharm. Bull. 30, 621–626. doi: 10.1248/bpb.30.621
Huang, P., Chandra, V., Rastinejad, F. (2010). Structural Overview of the Nuclear Receptor Superfamily: Insights Into Physiology and Therapeutics. Annu. Rev. Physiol. 72, 247–272. doi: 10.1146/annurev-physiol-021909-135917
Hughes, D. A., Gordon, S. (1998). Expression and Function of the Type 3 Complement Receptor in Tissues of the Developing Mouse. J. Immunol. 160, 4543–4552.
Jing, C., Castro-Dopico, T., Richoz, N., Tuong, Z. K., Ferdinand, J. R., Lok, L. S. C., et al. (2020). Macrophage Metabolic Reprogramming Presents a Therapeutic Target in Lupus Nephritis. Proc. Natl. Acad. Sci. U. S. A. 117, 15160–15171. doi: 10.1073/pnas.2000943117
Kawasaki, T., Kawai, T. (2014). Toll-Like Receptor Signaling Pathways. Front. Immunol. 5. doi: 10.3389/fimmu.2014.00461
Keller, M., Mazuch, J., Abraham, U., Eom, G. D., Herzog, E. D., Volk, H.-D., et al. (2009). A Circadian Clock in Macrophages Controls Inflammatory Immune Responses. Proc. Natl. Acad. Sci. U. S. A. 106, 21407–21412. doi: 10.1073/pnas.0906361106
Kelly, B., O’Neill, L. A. J. (2015). Metabolic Reprogramming in Macrophages and Dendritic Cells in Innate Immunity. Cell Res. 25, 771–784. doi: 10.1038/cr.2015.68
Kimura, I., Konno, Y., Uriu, K., Hopfensperger, K., Sauter, D., Nakagawa, S., et al. (2021). Sarbecovirus ORF6 Proteins Hamper Induction of Interferon Signaling. Cell Rep. 34, 108916. doi: 10.1016/j.celrep.2021.108916
Kitchen, G. B., Cunningham, P. S., Poolman, T. M., Iqbal, M., Maidstone, R., Baxter, M., et al. (2020). The Clock Gene Bmal1 Inhibits Macrophage Motility, Phagocytosis, and Impairs Defense Against Pneumonia. Proc. Natl. Acad. Sci. U. S. A. 117, 1543–1551. doi: 10.1073/pnas.1915932117
Kizaki, T., Izawa, T., Sakurai, T., Haga, S., Taniguchi, N., Tajiri, H., et al. (2008). β2-Adrenergic Receptor Regulates Toll-Like Receptor-4-Induced Nuclear Factor-κb Activation Through β-Arrestin 2. Immunology 124, 348–356. doi: 10.1111/j.1365-2567.2007.02781.x
Kizaki, T., Maegawa, T., Sakurai, T., Ogasawara, J.-E., Ookawara, T., Oh-ishi, S., et al. (2011). Voluntary Exercise Attenuates Obesity-Associated Inflammation Through Ghrelin Expressed in Macrophages. Biochem. Biophys. Res. Commun. 413, 454–459. doi: 10.1016/j.bbrc.2011.08.117
Kizaki, T., Sato, S., Sakurai, T., Ogasawara, J., Imaizumi, K., Izawa, T., et al. (2012). The Effects of Exercise on Macrophage Function. J. Phys. Fit. Sports. Med. 1, 113–123. doi: 10.7600/jpfsm.1.113
Kizaki, T., Shirato, K., Sakurai, T., Ogasawara, J.-E., Oh-ishi, S., Matsuoka, T., et al. (2009). β2-Adrenergic Receptor Regulate Toll-Like Receptor 4-Induced Late-Phase NF-κb Activation. Mol. Immunol. 46, 1195–1203. doi: 10.1016/j.molimm.2008.11.005
Knapp, S., Wieland, C. W., van ‘t Veer, C., Takeuchi, O., Akira, S., Florquin, S., et al. (2004). Toll-Like Receptor 2 Plays a Role in the Early Inflammatory Response to Murine Pneumococcal Pneumonia But Does Not Contribute to Antibacterial Defense. J. Immunol. 172, 3132–3138. doi: 10.4049/jimmunol.172.5.3132
Knutson, K. L., von Schantz, M. (2018). Associations Between Chronotype, Morbidity and Mortality in the UK Biobank Cohort. Chronobiol. Int. 35, 1045–1053. doi: 10.1080/07420528.2018.1454458
Knutsson, A. (2003). Health Disorders of Shift Workers. Occup. Med. (Lond.) 53, 103–108. doi: 10.1093/occmed/kqg048
Konno, Y., Kimura, I., Uriu, K., Fukushi, M., Irie, T., Koyanagi, Y., et al. (2020). SARS-CoV-2 ORF3b Is a Potent Interferon Antagonist Whose Activity Is Increased by a Naturally Occurring Elongation Variant. Cell Rep. 32, 108185. doi: 10.1016/j.celrep.2020.108185
Kvaslerud, T., Hansen, M. V., Rosenberg, J., Gögenur, I. (2010). Circadian Aspects of Post-Operative Morbidity and Mortality. Acta Anaesthesiol. Scand. 54, 1157–1163. doi: 10.1111/j.1399-6576.2010.02296.x
Lam, M. T., Cho, H., Lesch, H. P., Gosselin, D., Heinz, S., Tanaka-Oishi, Y., et al. (2013). Rev-Erbs Repress Macrophage Gene Expression by Inhibiting Enhancer-Directed Transcription. Nature 498, 511–515. doi: 10.1038/nature12209
Lamia, K. A., Papp, S. J., Yu, R. T., Barish, G. D., Uhlenhaut, N. H., Jonker, J. W., et al. (2011). Cryptochromes Mediate Rhythmic Repression of the Glucocorticoid Receptor. Nature 480, 552–556. doi: 10.1038/nature10700
Landgraf, D., Long, J. E., Proulx, C. D., Barandas, R., Malinow, R., Welsh, D.K (2016). Genetic Disruption of Circadian Rhythms in the Suprachiasmatic Nucleus Causes Helplessness, Behavioral Despair, and Anxiety-Like Behavior in Mice. Biol. Psychiatry 80, 827–835. doi: 10.1016/j.biopsych.2016.03.1050
Leach, S., Suzuki, K. (2020). Adrenergic Signaling in Circadian Control of Immunity. Front. Immunol. 11. doi: 10.3389/fimmu.2020.01235
Lee, I. T., Chang, A. S., Manandhar, M., Shan, Y., Fan, J., Izumo, M., et al. (2015). Neuromedin s-Producing Neurons Act as Essential Pacemakers in the Suprachiasmatic Nucleus to Couple Clock Neurons and Dictate Circadian Rhythms. Neuron 85, 1086–1102. doi: 10.1016/j.neuron.2015.02.006
LeGates, T. A., Fernandez, D. C., Hattar, S. (2014). Light as a Central Modulator of Circadian Rhythms, Sleep and Affect. Nat. Rev. Neurosci. 15, 443–454. doi: 10.1038/nrn3743
Li, Z., Jiao, Y., Fan, E. K., Scott, M. J., Li, Y., Li, S., et al. (2017). Aging-Impaired Filamentous Actin Polymerization Signaling Reduces Alveolar Macrophage Phagocytosis of Bacteria. J. Immunol. 199, 3176–3186. doi: 10.4049/jimmunol.1700140
Linehan, E., Fitzgerald, D. C. (2015). Ageing and the Immune System: Focus on Macrophages. Eur. J. Microbiol. Immunol. 5, 14–24. doi: 10.1556/EUJMI-D-14-00035
Liu, Y., Lu, X., Li, X., Du, P., Qin, G. (2020). High-Fat Diet Triggers Obesity-Related Early Infiltration of Macrophages Into Adipose Tissue and Transient Reduction of Blood Monocyte Count. Mol. Immunol. 117, 139–146. doi: 10.1016/j.molimm.2019.11.002
Liu, Y., Xu, R., Gu, H., Zhang, E., Qu, J., Cao, W., et al. (2021). Metabolic Reprogramming in Macrophage Responses. Biomark. Res. 9, 1. doi: 10.1186/s40364-020-00251-y
Loef, B., van Baarle, D., van der Beek, A. J., Sanders, E. A. M., Bruijning-Verhagen, P., Proper, K. I. (2019). Shift Work and Respiratory Infections in Health-Care Workers. Am. J. Epidemiol. 188, 509–517. doi: 10.1093/aje/kwy258
Loef, B., van der Beek, A. J., Hulsegge, G., van Baarle, D., Proper, K. I. (2020). The Mediating Role of Sleep, Physical Activity, and Diet in the Association Between Shift Work and Respiratory Infections. Scand. J. Work. Environ. Health 46, 516–524. doi: 10.5271/sjweh.3896
Longo, V. D., Panda, S. (2016). Fasting, Circadian Rhythms, and Time-Restricted Feeding in Healthy Lifespan. Cell Metab. 23, 1048–1059. doi: 10.1016/j.cmet.2016.06.001
Lyall, L. M., Wyse, C. A., Graham, N., Ferguson, A., Lyall, D. M., Cullen, B., et al. (2018). Association of Disrupted Circadian Rhythmicity With Mood Disorders, Subjective Wellbeing, and Cognitive Function: A Cross-Sectional Study of 91 105 Participants From the UK Biobank. Lancet Psychiatry 5, P507–P514. doi: 10.1016/s2215-0366(18)30139-1
Maidstone, R., Anderson, S. G., Ray, D. W., Rutter, M. K., Durrington, H. J., Blaikley, J. F. (2021). Shift Work Is Associated With Positive COVID-19 Status in Hospitalised Patients. Thorax 76, 601–606. doi: 10.1136/thoraxjnl-2020-216651
Manoogian, E. N. C., Chaix, A., Panda, S. (2019). When to Eat: The Importance of Eating Patterns in Health and Disease. J. Biol. Rhythms. 34, 579–581. doi: 10.1177/0748730419892105
Manoogian, E. N. C., Panda, S. (2017). Circadian Rhythms, Time-Restricted Feeding, and Healthy Aging. Ageing Res. Rev. 39, 59–67. doi: 10.1016/j.arr.2016.12.006
Mao, Y., Finnemann, S. C. (2015). Regulation of Phagocytosis by Rho GTPases. Small. GTPases. 6, 89–99. doi: 10.4161/21541248.2014.989785
Mason, I. C., Qian, J., Adler, G. K., Scheer, F. A. J. L. (2020). Impact of Circadian Disruption on Glucose Metabolism: Implications for Type 2 Diabetes. Diabetologia 63, 462–472. doi: 10.1007/s00125-019-05059-6
Masri, S., Sassone-Corsi, P. (2018). The Emerging Link Between Cancer, Metabolism, and Circadian Rhythms. Nat. Med. 24, 1795–1803. doi: 10.1038/s41591-018-0271-8
Melkani, G. C., Panda, S. (2017). Time-Restricted Feeding for Prevention and Treatment of Cardiometabolic Disorders. J. Physiol. 595, 3691–3700. doi: 10.1113/jp273094
Minhas, P. S., Latif-Hernandez, A., McReynolds, M. R., Durairaj, A. S., Wang, Q., Rubin, A., et al. (2021). Restoring Metabolism of Myeloid Cells Reverses Cognitive Decline in Ageing. Nature 590, 122–128. doi: 10.1038/s41586-020-03160-0
Mitsi, E., Kamng’ona, R., Rylance, J., Solórzano, C., Jesus Reiné, J., Mwandumba, H. C., et al. (2018). Human Alveolar Macrophages Predominately Express Combined Classical M1 and M2 Surface Markers in Steady State. Respir. Res. 19, 66. doi: 10.1186/s12931-018-0777-0
Mohning, M. P., Thomas, S. M., Barthel, L., Mould, K. J., McCubbrey, A. L., Frasch, S. C., et al. (2018). Phagocytosis of Microparticles by Alveolar Macrophages During Acute Lung Injury Requires MerTK. Am. J. Physiol. Lung Cell. Mol. Physiol. 314, L69–L82. doi: 10.1152/ajplung.00058.2017
Moro, T., Tinsley, G., Longo, G., Grigoletto, D., Bianco, A., Ferraris, C., et al. (2020). Time-Restricted Eating Effects on Performance, Immune Function, and Body Composition in Elite Cyclists: A Randomized Controlled Trial. J. Int. Soc Sports. Nutr. 17, 65. doi: 10.1186/s12970-020-00396-z
Mure, L. S., Le, H. D., Benegiamo, G., Chang, M. W., Rios, L., Jillani, N., et al. (2018). Diurnal Transcriptome Atlas of a Primate Across Major Neural and Peripheral Tissues. Science 359, eaao0318. doi: 10.1126/science.aao0318
Nagata, S., Hanayama, R., Kawane, K. (2010). Autoimmunity and the Clearance of Dead Cells. Cell 140, 619–630. doi: 10.1016/j.cell.2010.02.014
Nakai, A., Hayano, Y., Furuta, F., Noda, M., Suzuki, K. (2014). Control of Lymphocyte Egress From Lymph Nodes Through β2-Adrenergic Receptors. J. Exp. Med. 211, 2583–2598. doi: 10.1084/jem.20141132
Nakaya, M., Tanaka, M., Okabe, Y., Hanayama, R., Nagata, S. (2006). Opposite Effects of Rho Family GTPases on Engulfment of Apoptotic Cells by Macrophages. J. Biol. Chem. 281, 8836–8842. doi: 10.1074/jbc.M510972200
Narasimamurthy, R., Hatori, M., Nayak, S. K., Liu, F., Panda, S., Verma, I. M. (2012). Circadian Clock Protein Cryptochrome Regulates the Expression of Proinflammatory Cytokines. Proc. Natl. Acad. Sci. U. S. A. 109, 12662–12667. doi: 10.1073/pnas.1209965109
Nguyen, M. T. A., Favelyukis, S., Nguyen, A.-K., Reichart, D., Scott, P. A., Jenn, A., et al. (2007). A Subpopulation of Macrophages Infiltrates Hypertrophic Adipose Tissue and Is Activated by Free Fatty Acids via Toll-Like Receptors 2 and 4 and JNK-Dependent Pathways. J. Biol. Chem. 282, 35279–35292. doi: 10.1074/jbc.M706762200
Nguyen, K. D., Fentress, S. J., Qiu, Y., Yun, K., Cox, J. S., Chawla, A. (2013). Circadian Gene Bmal1 Regulates Diurnal Oscillations of Ly6Chi Inflammatory Monocytes. Science 341, 1483–1488. doi: 10.1126/science.1240636
Oishi, K., Ohkura, N., Kadota, K., Kasamatsu, M., Shibusawa, K., Matsuda, J., et al. (2006). Clock Mutation Affects Circadian Regulation of Circulating Blood Cells. J. Circadian. Rhythms. 4, 13. doi: 10.1186/1740-3391-4-13
Olefsky, J. M., Glass, C. K. (2010). Macrophages, Inflammation, and Insulin Resistance. Annu. Rev. Physiol. 72, 219–246. doi: 10.1146/annurev-physiol-021909-135846
Oliva-Ramírez, J., Moreno-Altamirano, M. M., Pineda-Olvera, B., Cauich-Sánchez, P., Sánchez-García, F. J. (2014). Crosstalk Between Circadian Rhythmicity, Mitochondrial Dynamics and Macrophage Bactericidal Activity. Immunology 143, 490–497. doi: 10.1111/imm.12329
Osborn, O., Olefsky, J. M. (2012). The Cellular and Signaling Networks Linking the Immune System and Metabolism in Disease. Nat. Med. 18, 363–374. doi: 10.1038/nm.2627
Panda, S. (2016). Circadian Physiology of Metabolism. Science 354, 1008–1015. doi: 10.1126/science.aah4967
Pariollaud, M., Gibbs, J. E., Hopwood, T. W., Brown, S., Begley, N., Vonslow, R., et al. (2018). Circadian Clock Component REV-Erbα Controls Homeostatic Regulation of Pulmonary Inflammation. J. Clin. Invest. 128, 2281–2296. doi: 10.1172/JCI93910
Rawji, K. S., Young, A. M. H., Ghosh, T., Michaels, N. J., Mirzaei, R., Kappen, J., et al. (2020). Niacin-Mediated Rejuvenation of Macrophage/Microglia Enhances Remyelination of the Aging Central Nervous System. Acta Neuropathol. 139, 893–909. doi: 10.1007/s00401-020-02129-7
Salvi, V., Nguyen, H. O., Sozio, F., Schioppa, T., Gaudenzi, C., Laffranchi, M., et al. (2021). SARS-CoV-2-Associated ssRNAs Activate Inflammation and Immunity via TLR7/8. JCI Insight 6, e150542. doi: 10.1172/jci.insight.150542
Sánchez-Tarjuelo, R., Cortegano, I., Manosalva, J., Rodríguez, M., Ruíz, C., Alía, M., et al. (2020). The TLR4-MyD88 Signaling Axis Regulates Lung Monocyte Differentiation Pathways in Response to Streptococcus Pneumoniae. Front. Immunol. 11, 2120. doi: 10.3389/fimmu.2020.02120
Sato, S., Basse, A. L., Schönke, M., Chen, S., Samad, M., Altıntaş, A., et al. (2019). Time of Exercise Specifies the Impact of Muscle Metabolic Pathways and Systemic Energy Homeostasis. Cell Metab. 30, 92–110. doi: 10.1016/j.cmet.2019.03.013
Sato, S., Sakurai, T., Ogasawara, J., Shirato, K., Ishibashi, Y., Oh-ishi, S., et al. (2014a). Direct and Indirect Suppression of Interleukin-6 Gene Expression in Murine Macrophages by Nuclear Orphan Receptor REV-Erbα. ScientificWorldJournal 2014, 685854. doi: 10.1155/2014/685854
Sato, S., Sakurai, T., Ogasawara, J., Takahashi, M., Izawa, T., Imaizumi, K., et al. (2014b). A Circadian Clock Gene, Rev-Erbα, Modulates the Inflammatory Function of Macrophages Through the Negative Regulation of Ccl2 Expression. J. Immunol. 192, 407–417. doi: 10.4049/jimmunol.1301982
Sato, S., Sassone-Corsi, P. (2021). “Linking Depression to Epigenetics: Role of the Circadian Clock,” in Circadian Clock in Brain Health and Disease. Eds. Engmann, O., Brancaccio, M. (Cham: Springer International Publishing), 43–53.
Schneider, C., Nobs, S. P., Heer, A. K., Kurrer, M., Klinke, G., van Rooijen, N., et al. (2014a). Alveolar Macrophages Are Essential for Protection From Respiratory Failure and Associated Morbidity Following Influenza Virus Infection. PloS Pathog. 10, e1004053. doi: 10.1371/journal.ppat.1004053
Schneider, C., Nobs, S. P., Kurrer, M., Rehrauer, H., Thiele, C., Kopf, M. (2014b). Induction of the Nuclear Receptor PPAR-γ by the Cytokine GM-CSF Is Critical for the Differentiation of Fetal Monocytes Into Alveolar Macrophages. Nat. Immunol. 15, 1026–1037. doi: 10.1038/ni.3005
Seitz, H. M., Camenisch, T. D., Lemke, G., Earp, H. S., Matsushima, G. K. (2007). Macrophages and Dendritic Cells Use Different Axl/Mertk/Tyro3 Receptors in Clearance of Apoptotic Cells. J. Immunol. 178, 5635–5642. doi: 10.4049/jimmunol.178.9.5635
Sengupta, S., Tang, S. Y., Devine, J. C., Anderson, S. T., Nayak, S., Zhang, S. L., et al. (2019). Circadian Control of Lung Inflammation in Influenza Infection. Nat. Commun. 10, 4107. doi: 10.1038/s41467-019-11400-9
Sharif, O., Matt, U., Saluzzo, S., Lakovits, K., Haslinger, I., Furtner, T., et al. (2013). The Scavenger Receptor CD36 Downmodulates the Early Inflammatory Response While Enhancing Bacterial Phagocytosis During Pneumococcal Pneumonia. J. Immunol. 190, 5640–5648. doi: 10.4049/jimmunol.1202270
Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., Flier, J. S. (2006). TLR4 Links Innate Immunity and Fatty Acid–Induced Insulin Resistance. J. Clin. Invest. 116, 3015–3025. doi: 10.1172/JCI28898
Shimba, A., Cui, G., Tani-Ichi, S., Ogawa, M., Abe, S., Okazaki, F., et al. (2018). Glucocorticoids Drive Diurnal Oscillations in T Cell Distribution and Responses by Inducing Interleukin-7 Receptor and CXCR4. Immunity 48, 286–298.e286. doi: 10.1016/j.immuni.2018.01.004
Shimba, A., Ikuta, K. (2020). Glucocorticoids Eegulate Circadian Rhythm of Innate and Adaptive Immunity. Front. Immunol. 11. doi: 10.3389/fimmu.2020.02143
Shirato, K., Kizaki, T. (2021). SARS-CoV-2 Spike Protein S1 Subunit Induces Pro-Inflammatory Responses via Toll-Like Receptor 4 Signaling in Murine and Human Macrophages. Heliyon 7, e06187. doi: 10.1016/j.heliyon.2021.e06187
Silver, A. C., Arjona, A., Walker, W. E., Fikrig, E. (2012). The Circadian Clock Controls Toll-Like Receptor 9-Mediated Innate and Adaptive Immunity. Immunity 36, 251–261. doi: 10.1016/j.immuni.2011.12.017
Silver, A. C., Buckley, S. M., Hughes, M. E., Hastings, A. K., Nitabach, M. N., Fikrig, E. (2018). Daily Oscillations in Expression and Responsiveness of Toll-Like Receptors in Splenic Immune Cells. Heliyon 4, e00579. doi: 10.1016/j.heliyon.2018.e00579
Sitlinger, A., Brander, D. M., Bartlett, D. B. (2020). Impact of Exercise on the Immune System and Outcomes in Hematologic Malignancies. Blood Adv. 4, 1801–1811. doi: 10.1182/bloodadvances.2019001317
So, A. Y.-L., Bernal, T. U., Pillsbury, M. L., Yamamoto, K. R., Feldman, B. J. (2009). Glucocorticoid Regulation of the Circadian Clock Modulates Glucose Homeostasis. Proc. Natl. Acad. Sci. U. S. A. 106, 17582–17587. doi: 10.1073/pnas.0909733106
Steele, C., Marrero, L., Swain, S., Harmsen, A. G., Zheng, M., Brown, G. D., et al. (2003). Alveolar Macrophage-Mediated Killing of Pneumocystis Carinii F. Sp. Muris Involves Molecular Recognition by the Dectin-1 β-Glucan Receptor. J. Exp. Med. 198, 1677–1688. doi: 10.1084/jem.20030932
Steele, C., Rapaka, R. R., Metz, A., Pop, S. M., Williams, D. L., Gordon, S., et al. (2005). The Beta-Glucan Receptor Dectin-1 Recognizes Specific Morphologies of Aspergillus Fumigatus. PloS Pathog. 1, e42. doi: 10.1371/journal.ppat.0010042
Sundar, I. K., Yao, H., Sellix, M. T., Rahman, I. (2015). Circadian Molecular Clock in Lung Pathophysiology. Am. J. Physiol. Lung Cell. Mol. Physiol. 309, L1056–L1075. doi: 10.1152/ajplung.00152.2015
Takahashi, J. S. (2017). Transcriptional Architecture of the Mammalian Circadian Clock. Nat. Rev. Genet. 18, 164–179. doi: 10.1038/nrg.2016.150
Timmons, G. A., O’Siorain, J. R., Kennedy, O. D., Curtis, A. M., Early, J. O. (2020). Innate Rhythms: Clocks at the Center of Monocyte and Macrophage Function. Front. Immunol. 11. doi: 10.3389/fimmu.2020.01743
Todt, J. C., Hu, B., Curtis, J. L. (2004). The Receptor Tyrosine Kinase MerTK Activates Phospholipase C γ2 During Recognition of Apoptotic Thymocytes by Murine Macrophages. J. Leukoc. Biol. 75, 705–713. doi: 10.1189/jlb.0903439
Top, D., Young, M. W. (2017). Coordination Between Differentially Regulated Circadian Clocks Generates Rhythmic Behavior. Cold Spring Harb. Perspect. Biol. 10, a033589 doi: 10.1101/cshperspect.a033589
Torquati, L., Mielke, G. I., Brown, W. J., Kolbe-Alexander, T. (2018). Shift Work and the Risk of Cardiovascular Disease. A Systematic Review and Meta-Analysis Including Dose–Response Relationship. Scand. J. Work. Environ. Health 44, 229–238. doi: 10.5271/sjweh.3700
Torra, I., Tsibulsky, V., Delaunay, F., Saladin, R. G., Laudet, V., Fruchart, J.-C., et al. (2000). Circadian and Glucocorticoid Regulation of Rev-Erbα Expression in Liver. Endocrinology 141, 3799–3806. doi: 10.1210/endo.141.10.7708
van de Garde, M. D. B., Martinez, F. O., Melgert, B. N., Hylkema, M. N., Jonkers, R. E., Hamann, J. (2014). Chronic Exposure to Glucocorticoids Shapes Gene Expression and Modulates Innate and Adaptive Activation Pathways in Macrophages With Distinct Changes in Leukocyte Attraction. J. Immunol. 192, 1196–1208. doi: 10.4049/jimmunol.1302138
Vandivier, R. W., Richens, T. R., Horstmann, S. A., deCathelineau, A. M., Ghosh, M., Reynolds, S. D., et al. (2009). Dysfunctional Cystic Fibrosis Transmembrane Conductance Regulator Inhibits Phagocytosis of Apoptotic Cells With Proinflammatory Consequences. Am. J. Physiol. Lung. Cell. Mol. Physiol. 297, L677–L686. doi: 10.1152/ajplung.00030.2009
Vi, L., Baht, G. S., Soderblom, E. J., Whetstone, H., Wei, Q., Furman, B., et al. (2018). Macrophage Cells Secrete Factors Including LRP1 That Orchestrate the Rejuvenation of Bone Repair in Mice. Nat. Commun. 9, 5191. doi: 10.1038/s41467-018-07666-0
Vida, C., de Toda, I. M., Cruces, J., Garrido, A., Gonzalez-Sanchez, M., de la Fuente, M. (2017). Role of Macrophages in Age-Related Oxidative Stress and Lipofuscin Accumulation in Mice. Redox Biol. 12, 423–437. doi: 10.1016/j.redox.2017.03.005
Vollmers, C., Gill, S., DiTacchio, L., Pulivarthy, S. R., Le, H. D., Panda, S. (2009). Time of Feeding and the Intrinsic Circadian Clock Drive Rhythms in Hepatic Gene Expression. Proc. Natl. Acad. Sci. U. S. A. 106, 21453–21458. doi: 10.1073/pnas.0909591106
Waggoner, S. N. (2020). Circadian Rhythms in Immunity. Curr. Allergy Asthma Rep. 20, 2. doi: 10.1007/s11882-020-0896-9
Wilkinson, M. J., Manoogian, E. N. C., Zadourian, A., Lo, H., Fakhouri, S., Shoghi, A., et al. (2020). Ten-Hour Time-Restricted Eating Reduces Weight, Blood Pressure, and Atherogenic Lipids in Patients With Metabolic Syndrome. Cell Metab. 31, 92–104.e105. doi: 10.1016/j.cmet.2019.11.004
World Health Organization. (2018). Influenza (Seasonal). Available at: https://www.who.int/news-room/fact-sheets/detail/influenza-(seasonal).
World Health Organization. (2019). Pneumonia. Available at: https://www.who.int/news-room/fact-sheets/detail/pneumonia.
World Health Organization. (2020). The Top 10 Causes of Death. Available at: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death.
World Health Organization. (2021). WHO Coronavirus (COVID-19) Dashboard. Available at: https://covid19.who.int/.
Wu, H., Ballantyne, C. M. (2020). Metabolic Inflammation and Insulin Resistance in Obesity. Circ. Res. 126, 1549–1564. doi: 10.1161/CIRCRESAHA.119.315896
Wu, Y., Singh, S., Georgescu, M. M., Birge, R. B. (2005). A Role for Mer Tyrosine Kinase in αvβ5 Integrin-Mediated Phagocytosis of Apoptotic Cells. J. Cell Sci. 118, 539–553. doi: 10.1242/jcs.01632
Zarrinpar, A., Chaix, A., Panda, S. (2016). Daily Eating Patterns and Their Impact on Health and Disease. Trend. Endocrinol. Metab. 27, 69–83. doi: 10.1016/j.tem.2015.11.007
Zarrinpar, A., Chaix, A., Yooseph, S., Panda, S. (2014). Diet and Feeding Pattern Affect the Diurnal Dynamics of the Gut Microbiome. Cell Metab. 20, 1006–1017. doi: 10.1016/j.cmet.2014.11.008
Zhang, Q., Bastard, P., Liu, Z., Le Pen, J., Moncada-Velez, M., Chen, J., et al. (2020b). Inborn Errors of Type I IFN Immunity in Patients With Life-Threatening COVID-19. Science 370, eabd4570. doi: 10.1126/science.abd4570
Zhang, J., Chatham, J. C., Young, M. E. (2020a). Circadian Regulation of Cardiac Physiology: Rhythms That Keep the Heart Beating. Annu. Rev. Physiol. 82, 79–101. doi: 10.1146/annurev-physiol-020518-114349
Zhang, H., Liu, Y., Liu, D., Zeng, Q., Li, L., Zhou, Q., et al. (2021). Time of Day Influences Immune Response to an Inactivated Vaccine Against SARS-CoV-2. Cell Res. 31, 1215–1217. doi: 10.1038/s41422-021-00541-6
Zhao, Y., Kuang, M., Li, J., Zhu, L., Jia, Z., Guo, X., et al. (2021). SARS-CoV-2 Spike Protein Interacts With and Activates TLR4. Cell Res. 31, 818–820. doi: 10.1038/s41422-021-00495-9
Zheng, M., Karki, R., Williams, E. P., Yang, D., Fitzpatrick, E., Vogel, P., et al. (2021). TLR2 Senses the SARS-CoV-2 Envelope Protein to Produce Inflammatory Cytokines. Nat. Immunol. 22, 829–838. doi: 10.1038/s41590-021-00937-x
Keywords: circadian rhythm, circadian clock, macrophage, inflammation, acute lower respiratory tract infection, phagocytosis, pro-inflammatory response, efferocytosis
Citation: Shirato K and Sato S (2022) Macrophage Meets the Circadian Clock: Implication of the Circadian Clock in the Role of Macrophages in Acute Lower Respiratory Tract Infection. Front. Cell. Infect. Microbiol. 12:826738. doi: 10.3389/fcimb.2022.826738
Received: 01 December 2021; Accepted: 01 February 2022;
Published: 23 February 2022.
Edited by:
Mariela Chertoff, University of Buenos Aires, ArgentinaReviewed by:
Basel Abuaita, Louisiana State University System, United StatesLee-Ann H. Allen, University of Missouri, United States
Copyright © 2022 Shirato and Sato. 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: Shogo Sato, c2hvZ28uc2F0b0BiaW8udGFtdS5lZHU=