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REVIEW article

Front. Cell Dev. Biol., 06 October 2023
Sec. Cell Growth and Division

The role of cellular senescence in metabolic diseases and the potential for senotherapeutic interventions

Huantong Zhang&#x;Huantong Zhang1Han Zhou&#x;Han Zhou1Xin Shen&#x;Xin Shen1Xingchen LinXingchen Lin1Yuke ZhangYuke Zhang1Yiyi SunYiyi Sun1Yi ZhouYi Zhou1Lei Zhang,Lei Zhang2,3Dayong Zhang
Dayong Zhang1*
  • 1School of Medicine, Hangzhou City University, Hangzhou, China
  • 2School of Economy and Management, Zhejiang Sci-Tech University, Hangzhou, China
  • 3Taizhou Hospital of Zhejiang Province, Zhejiang University, Taizhou, China

Cellular senescence represents an irreversible state of cell cycle arrest induced by various stimuli strongly associated with aging and several chronic ailments. In recent years, studies have increasingly suggested that the accumulation of senescent cells is an important contributor to the decline of organ metabolism, ultimately resulting in metabolic diseases. Conversely, the elimination of senescent cells can alleviate or postpone the onset and progression of metabolic diseases. Thus, a close relationship between senescent cells and metabolic diseases is found, and targeting senescent cells has emerged as an alternative therapy for the treatment of metabolic diseases. In this review, we summarize the role of cellular senescence in metabolic diseases, explore relevant therapeutic strategies for metabolic diseases by removing senescent cells, and provide new insights into the treatment of metabolic diseases.

1 Introduction

Cellular senescence refers to a stable non-proliferative state that cells enter in response to various stresses. This process is implicated in the development of various age-related diseases, including body aging, tumors, and senile dementia (Gorgoulis et al., 2019). Recently, an increasing number of researchers have focused on the relationship between cellular senescence and metabolic disorders. First, key cells involved in metabolic regulation undergo age-related changes. In patients with diabetes, the proportion of aging β-cells in the pancreas increases, and eliminating these cells can effectively prevent the onset and development of diabetes (Thompson et al., 2019). In adipose tissue, aging adipose precursor cells promote insulin resistance in adipose cells (Gao et al., 2020). In addition, aging endothelial cells contribute to the formation of atherosclerotic plaques and increase plaque instability (Bonello-Palot et al., 2014). Second, the secretory phenotype of senescent cells undergoes significant changes, resulting in the production of a variety of pro-inflammatory factors. This phenomenon is referred to as the Senescence-Associated Secretory Phenotype (SASP) (Coppé et al., 2008). As a result, the continued accumulation of senescent cells can cause chronic inflammation. This chronic inflammatory response is considered as an important contributor to metabolic diseases (Wiley and Campisi, 2021). Thus, senescent cells may contribute to the onset and development of metabolic diseases, including diabetes, in various ways. Aging intervention therapies targeting the clearance of senescent cells via senolytics or the modulation of their SASP via senomorphics have increasingly attracted the attention of researchers investigating their potential role in metabolic diseases (Wiley and Campisi, 2021). This paper reviews the relationship between metabolic diseases and cellular senescence and discusses the role of cellular senescence in these disorders, thereby providing new insights into their treatment.

2 Definition and characteristics of cellular senescence

2.1 Definition of cellular senescence

The concept of cellular senescence describes a cellular state associated with prolonged cell cycle arrest, increased secretory capacity, macromolecular damage, and altered metabolism (Gorgoulis et al., 2019). It occurs as a result of injury or stress in response to endogenous and exogenous stresses, including telomere dysfunction, oncogene activation, and persistent DNA damage. Both pathways, replicative senescence and stress-induced senescence, ultimately activate cytokine-dependent kinase inhibitors such as p53, p21, and p16 INK4a (Di Micco et al., 2021). In this state, senescent cells can undergo structural changes, including enlarged and flattened morphology, altered plasma membrane composition, lysosomal and mitochondrial accumulation, and significant nuclear expansion (Song et al., 2020). The extrinsic activities of senescent cells are widely associated with SASP activation, which enhances the effects of cell-intrinsic proliferative arrest, which plays a beneficial and positive role in tissue remodeling, wound healing, and tumor suppression during embryonic development (Davan-Wetton et al., 2021; Huang et al., 2022), as well as in the development of a wide range of chronic age-related diseases and organismal senescence (Di Micco et al., 2021).

2.2 Characteristics of cellular senescence

2.2.1 Cell cycle arrest

A notable characteristic of senescent cells is their essentially irreversible cell cycle arrest, which constitutes a vital aspect of tissue repair and tumor suppression. This type of cell cycle arrest differs from quiescence and terminal differentiation, as the former is merely a transient state of cell cycle arrest that can be reversed by suitable stimulation or environmental changes, leading to the resumption of cell proliferation. By contrast, terminal differentiation is a process of cell differentiation that results in the acquisition of specific functions and is accompanied by persistent cell cycle arrest (Figure 1). This process is completely distinct from the mediated pathway of cellular senescence (He and Sharpless, 2017).

FIGURE 1
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FIGURE 1. Characteristics of senescent cells: four characteristics are associated with cellular senescence. These are illustrated in the figure and consist of a predominantly irreversible cell cycle block that encourages cellular senescence, SASP, which denotes and mediates various pathophysiological functions of cellular senescence, epigenetic changes in DNA methylation that regulate cellular senescence, and DNA macromolecular damage and proteotoxic damage that initiate cellular senescence.

Although the cell cycle arrest of senescent cells is primarily considered irreversible, recent studies have revealed that senescent tumor cells can re-enter the cell cycle under the influence of certain specific factors (Saleh et al., 2019). Moreover, hyperinsulinemia induces senescence in fat cells (Li et al., 2021) and nerve cells (Chow et al., 2019), yet it can restart the cell cycle by upregulating cell cycle–promoting factors. Despite the inability of these cells to complete division ultimately, the cell volume increases, and more inflammatory factors are secreted, indicating that the regulation of the cell cycle in senescent cells is intricate and mediates cellular senescence promoted by metabolic abnormalities.

2.2.2 SASP

Senescent cells exhibit a distinctive secretory activity and possess the ability to release a vast array of factors, including proinflammatory cytokines, chemokines, growth regulators, angiogenic factors, and matrix metalloproteinase (Figure 1). This phenomenon is commonly referred to as SASP, which stands for senescence-messaging secretome. SASP represents the cardinal trait of senescent cells, and it mediates their diverse pathophysiological functions. Notably, SASP triggers the senescence of neighboring cells via the autocrine and paracrine pathways, amplifying and broadening the scope and extent of cellular senescence (Su et al., 2019). The accumulation of senescent cells and SASP can precipitate a plethora of age-related ailments. However, notably, acute SASP can impede tumor growth and constrain fibrosis (Birch and Gil, 2020). Consequently, SASP serves as a critical feature of senescent cells, controlling their regulatory functions in physiology and various disease states (Gorgoulis et al., 2019).

2.2.3 Epigenetic changes

Epigenetics refers to the phenomenon where the DNA sequence remains unaltered, but heritable changes arise in gene expression. Numerous studies on aging demonstrate that epigenetic changes occur during cellular senescence, primarily manifested through changes in DNA methylation, histone modification, chromatin remodeling and SASP (Crouch et al., 2022) (Figure 1). Methylation and acetylation are two important epigenetic modifications that play a role in cellular senescence. In senescent cells, there is a global loss of DNA methylation and an imbalance of activating and repressive histone modifications (Sen et al., 2016). Specifically, a loss of histones occurs concurrently and an increase in repressive modifications, such as H3K9me3 and H3K27me3, associated with heterochromatin formation and gene silencing, while concomitantly experiencing a decrease in activating modifications, such as H3K4me3 and H3K9ac, which are linked to euchromatin formation and gene activation (Jambhekar et al., 2019). These changes in histone modifications are thought to contribute to the transcriptional changes observed in senescent cells. Environmental factors, such as dietary restriction and exercise, can regulate cellular senescence by altering epigenetic inheritance through metabolism and other means (Hernandez-Saavedra et al., 2019).

2.2.4 Macromolecular damages

The primary molecular characteristic of replicative cell senescence is telomere shortening. Telomere shortening occurs because of the asymmetric replication of the two ends of DNA during continuous passage, leading to a small loss of DNA telomere repeats. In addition, telomere shortening during proliferation results in telomere DNA instability and telomere uncapping, which activates DNA damage repair and triggers telomere dysfunction, leading to cell cycle arrest (Di Micco et al., 2021) (Figure 1). Moreover, protein toxicity is a marker of cell senescence (Ishikawa and Ishikawa, 2020). Reactive oxygen species (ROS) in senescent cells cause protein damage by oxidizing methionine and cysteine residuals, altering protein folding and function, and leading to protein damage in senescent cells. Studies indicate that lipids are critical for cell membrane integrity, energy production, and signal transduction (Ademowo et al., 2017). Cellular senescence also results in lipid damage. Many senile diseases, such as abnormal lipid metabolism in metabolic syndrome (MetS), have been associated with extensive lipid damage in senile cells, leading to an increase in senescent cells and intracellular lipid damage (Ademowo et al., 2017).

3 Metabolic diseases and cellular senescence

Research on aging indicates that cellular senescence is a critical risk factor for a variety of metabolic diseases, including MetS (Dominguez and Barbagallo, 2016), diabetes (Palmer et al., 2019a), metabolic cardiovascular diseases (Evangelou et al., 2023), and osteoporosis (Polyzos et al., 2021) (Figure 2). Cellular senescence can disrupt organ homeostasis and promote metabolic disease through mechanisms such as promoting systemic inflammation, oxidative stress, and metabolic dysregulation (Cai et al., 2022). Conversely, delaying or diminishing cellular senescence may mitigate metabolic diseases to some degree (Wiley and Campisi, 2021). These findings underscore the strong link between cellular senescence and metabolic diseases, as cellular senescence plays both a direct and indirect role in their initiation and serves as a critical regulator in metabolic diseases.

FIGURE 2
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FIGURE 2. Cellular senescence in metabolic diseases: The process of cellular senescence has been implicated in the development of various metabolic diseases. Senescent adipocytes and islet beta cells perform a significant function in the onset of diabetes, whereas senescent adipocytes also contribute to the development of metabolic syndrome. In osteoporosis, one can observe the presence of senescent osteoblasts, osteocytes, and osteoclasts. Moreover, senescent endothelial cells were detected in atherosclerotic disease.

3.1 Diabetes mellitus (DM)

The incidence of DM, particularly type 2 diabetes mellitus (T2DM), increases with age. Prior investigations have demonstrated the close association between DM and cellular senescence (Palmer et al., 2019a). First, T2DM may stimulate cell senescence, and the quantity of senescent cells in adipose tissue of T2DM mouse models is remarkably greater than that of the control group (Ahima, 2009). In addition, adipose tissue senescence can diminish the expansion potential of adipose tissue, thereby resulting in insulin resistance (Hammarstedt et al., 2018). These findings suggest that adipocyte senescence plays a pivotal role in mediating the development of DM. Second, the islet β-cells themselves experience aging-related changes. The expression of the age-related gene p16INK4a in β-cells also increases with age, which impairs the insulin secretion function of aging β-cells. Furthermore, cellular senescence can directly influence the function of islet β-cells and produce many inflammatory factors, leading to chronic inflammation of pancreatic tissue, markedly contributing to the onset and progression of T2DM (Murakami et al., 2022).

3.1.1 Adipocyte senescence

Several studies have demonstrated that obesity can trigger cellular senescence, and senescent cells show a remarkable increase in adipose tissue in individuals with obesity, thereby leading to the development of T2DM. T. Minamino et al. observed that adipose cells in KK-Ay mice, who consumed excessive calories, exhibited augmented senescence-associated β-galactosidase (SA-β-Gal) activity, elevated p16 INK4a and EGFP expression, and increased SASP factor (Minamino et al., 2009). Furthermore, senescence occurred in these adipose cells before insulin resistance, inflammation, and glucose tolerance in adipose tissue, indicating a causal relationship between excessive energy intake and adipose cell senescence (Minamino et al., 2009).

Another study revealed that the expression of p53 in adipose cells is glucose reactive and a critical mediating factor in high-sugar-induced adipose cell senescence (Krstic et al., 2018). The expression of p53 must be downregulated for adipose mesenchymal stem cells (ADMSCs) to develop into insulin-responsive adipocytes. However, in T2DM, the activity of p53 in ADMSCs is heightened, leading to an increased level of cellular senescence (Minamino et al., 2009).

Moreover, excessive caloric intake not only induces senescence in adipose tissue but also accelerates cellular senescence in other tissues of the body via senescent adipose tissue. This phenomenon promotes islet β-cell senescence, thereby increasing the risk of developing T2DM (Burton and Faragher, 2018). In mouse models, senescent adipocytes have been found to trigger T2DM by causing insulin resistance (Petersen and Shulman, 2018), adipose tissue inflammation (Palmer et al., 2019b), and immune cell attraction (Palmer et al., 2019b). Activating p53 in senescent cells decreases glucose transport and increases lipolysis, which results in a further reduction of insulin-responsive adipocytes, leading to inflammation and insulin resistance (Krstic et al., 2018). Consequently, senescent cells in mice with T2DM can also lead to adipose tissue dysfunction, which further triggers systemic metabolic changes such as insulin resistance, ectopic lipid accumulation, and chronic inflammation, thereby exacerbating the complications of T2DM (Spinelli et al., 2020). In mice with diet-induced obesity, senescent cells can attract macrophages into adipose tissue and worsen T2DM (Palmer et al., 2019b). Therefore, adipose tissue cell senescence can contribute to the development of T2DM through several mechanisms, including insulin resistance and inflammatory response.

3.1.2 Islet β-cell senescence

Senescence of islet β-cells has a remarkable impact on the pathogenesis of T2DM. Islet β-cells isolated from older mice and those with T2DM have increased the activity of SA-β-Gal (Aguayo-Mazzucato et al., 2019). Furthermore, T2DM model mice have shown a higher expression level of insulin-like growth factor 1 receptor (IGF-1R) in their β-cells compared with control mice, indicating a close relationship between pancreatic β-cell senescence and T2DM (Yan et al., 2022). Studies have also revealed that insulin resistance induction can lead to augmented expression of pancreatic β-cell senescent markers, including a high expression level of SA-β-Gal, p16 INK4a, p53BP1, and IGF-1R. As the secretion of basic insulin increases, pancreatic function impairment continuously hastens the senescence of pancreatic β-cells, ultimately resulting in T2DM (Aguayo-Mazzucato et al., 2017).

Studies on aging have revealed that senescent islet β-cells exhibit reduced insulin secretion ability and less sensitivity to high sugar stimulation (Tudurí et al., 2022). Insulin resistance is the pivotal link between cell senescence and the development of T2DM, which also directly impacts the functioning of pancreatic β-cells. In 2017, Aguayo Mazzucato’s experiments demonstrated that insulin resistance in insulin-resistant mouse models could increase the expression level of senescent markers of pancreatic β-cells, such as p16INK4a, IGF-1R, and BAMBI, thereby accelerating the senescence of pancreatic β-cells (Aguayo-Mazzucato et al., 2017). As mentioned previously, a high-calorie diet can promote fat cell senescence and lead to insulin resistance (Krstic et al., 2018). However, insulin resistance can further induce the senescence of pancreatic β-cells, thereby causing T2DM (Murakami et al., 2022). Therefore, β-cell senescence and insulin resistance exhibit a causal relationship and promote each other, thereby aggravating the development of T2DM (Figure 3).

FIGURE 3
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FIGURE 3. The relationship between cellular senescence and diabetes: Senescent cells may play a crucial role in contributing to insulin resistance and the development of diabetes mellitus, as well as its associated complications. As the body undergoes the aging process, becomes obese, or experiences various disease states, senescent cells tend to accumulate in tissues throughout the body. This accumulation triggers the release of a range of pro-inflammatory cytokines, chemokines, and growth factors known as SASPs, which can act both locally and systemically. SASPs can target cells within tissues via paracrine mechanisms, which can result in tissue dysfunction and damage. Such damage can ultimately lead to the development of diabetes and its associated complications. Moreover, SASP can circulate throughout the body and contribute to a tense inflammatory state, thus playing a role in the development of insulin resistance.

Bisphenol A (BPA), which is considered as a prevalent endocrine disruptor, can cause insulin resistance and promote the progression of T2DM. In 2019, Avinash Soundararajan et al. discovered that the transcription level of pancreatic β-cell senescence markers, such as p15, p53, Rb1, and SA-β-Gal, increased when metabolic stress was combined with BPA. This finding indicates that BPA can promote pancreatic β-cell senescence (Soundararajan et al., 2019). In addition, they used zebrafish embryos as models to verify whether the group exposed to hyperglycemia and BPA showed higher levels of islet β-cell apoptosis and senescence compared with the control group (Soundararajan et al., 2019). These studies suggest that pancreatic β-cell senescence plays an important role in BPA’s promotion of T2DM.

3.2 MetS

MetS is a group of syndromes characterized by a combination of metabolically related risk factors, which include central obesity, hyperglycemia characterized by insulin resistance or reduced glucose tolerance, hypertriglyceridemia, low levels of HDL and cholesterol, and hypertension. MetS is widely considered as a major risk factor for diseases such as diabetes and cardiovascular and cerebrovascular diseases. Without intervention, around 50% of patients with MetS will develop diabetes (Alberti et al., 2005). Recently, MetS has been found to be closely linked to cellular aging, with sustained high-calorie intake being identified as an important cause of MetS. Our research group (Zhang et al., 2017) and other research groups (Ogrodnik et al., 2019) have demonstrated through experiments that high-calorie intake can promote senescent changes in adult cells and stem cells. As individuals age and develop MetS, the level of oxidative stress in their bodies and cells increases, and ROS generated by oxidative stress can induce macromolecular damage. The increase in intracellular ROS levels is the primary mechanism underlying adipocyte and macrophage senescence (Nunn et al., 2009). A more descriptive term for MetS is “lifestyle-induced metabolic inflexibilities and accelerated senescence syndrome.” Studies have suggested that insulin resistance is the primary pathogenic mechanism of first-level metabolic changes in patients with MetS, whereas chronic low-level inflammation and oxidative stress are second-level changes. Furthermore, the release of a large number of inflammatory factors by senescent cells is considered as an important mechanism of cellular senescence involved in MetS (Fahed et al., 2022). Therefore, MetS and cellular senescence are mutually reinforcing, with cellular senescence aggravating the occurrence and development of MetS and being a cellular manifestation of progressive MetS.

Studies have demonstrated that various age-related phenomena in the body, such as obesity, inflammation, hypertension, hypothalamic–adrenal pituitary activity, and insulin resistance, can increase the prevalence of MetS (Fahed et al., 2022). In turn, MetS is further exacerbated by cellular senescence, insulin resistance, and cardiovascular disease.

Insulin resistance is a crucial factor in the development of MetS. The insulin receptor substrate (IRS) protein plays an important role in insulin–insulin receptor (IR) binding. Upon insulin stimulation, the IR and IRS are phosphorylated by activated insulin receptor kinases, which leads to the activation of insulin signaling factors in the plasma membrane and internal membrane cisterna. These signaling factors transmit insulin signals and produce typical insulin-induced metabolic effects, such as increased glucose uptake. However, during cellular senescence, the level of intracellular oxidative stress is heightened, activating phosphorylation cascades, such as mitogen-activated protein kinase cascades (Yaribeygi et al., 2019). This activation leads to the increased Ser/Thr phosphorylation of IRS molecules, releasing modified IRS molecules from the internal membrane pool, promoting protein degradation, and ultimately resulting in further insulin resistance. Mitochondrial function improvement and ROS level reduction through gene editing decreased the expression level of senescent markers p16 INK4a and p21, and the condition of gene-edited mice with MetS was remarkably improved (Tavallaie et al., 2020). Elevated oxidative stress levels in cellular senescence enhance insulin resistance and other effects, which caused the inability of insulin to achieve normal metabolic effects, ultimately leading to further MetS deterioration.

MetS can also induce senescence in mesenchymal stem cells (MSC) and affect the content of micro-RNA (miRNA) and aging-related miRNA in MSC-derived extracellular vesicles. In 2018, Meng et al. (2018) found that the MetS model had seven upregulated and three downregulated miRNAs in adipose tissue–derived MSC, which regulated 35 age-related genes and induced oxidative stress by increasing a SASP factor and the senescence regulatory factor integrin-β1, thereby worsening the occurrence and development of MetS.

3.3 Osteoporosis

Osteoporosis is prevalent among metabolic bone diseases and is a significant ailment associated with aging. In general, estrogen-deficient postmenopausal women experience severe bone loss or even fractures caused by osteoporosis. Cellular senescence has been identified as a key factor in bone loss, while the development of osteoporosis is triggered by a combination of estrogen, inflammatory factors, and cellular senescence (Farr and Khosla, 2019) (Figure 4). Evidence suggests that estrogen deficiency leads to osteoporosis by influencing inflammation levels (Weitzmann and Pacifici, 2006; Mohamad et al., 2020). Apart from its capacity to suppress the inflammatory response, estrogen is closely linked to cellular senescence. Studies have shown that estrogen deficiency causes oxidative stress and osteoblast senescence in a mouse model of osteoporosis. Cells exhibits senescence symptoms such as delayed growth rate and impaired proliferation, whereas senescent osteoblasts can trigger an inflammatory microenvironment via SASP (Kassem and Marie, 2011; Geng et al., 2019). Joshua N et al. proved that senescent cells play a causative role in mediating age-related bone loss under aging conditions. Their experiments demonstrated that senescent osteoblasts play a crucial role in SASP production, and the expression level of pro-inflammatory chemokines, cytokines, and extracellular matrix degradation proteins, which drive age-related bone loss, was upregulated with the increase of SASP levels (Farr et al., 2019). The inflammatory microenvironment can directly affect osteoblast and osteoclast physiological functions, leading to osteoporosis (Peng et al., 2022). Additional experiments have shown that older mice have increased levels of osteoblast senescence, which causes a senescent phenotype in the bone marrow lumen’s myeloid cells via SASP with age. This phenomenon ultimately results in a toxic inflammatory microenvironment, which affects a wide range of adjacent cells, including B cells, T cells, osteoblasts, and osteogenic progenitor cells, and increases the expression level of p16 INK4a, a key mediator of cellular senescence, thereby resulting in osteoporosis (Farr et al., 2016b). Therefore, estrogen, inflammation, and cellular senescence are closely linked to osteoporosis.

FIGURE 4
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FIGURE 4. The relationship between cellular senescence and osteoporosis: The composition of senescent osteocytes and their SASP may play a role in the progression of age-related osteoporosis. As the aging process advances, numerous cells in the bone microenvironment undergo senescence and accumulate, while senescent osteoblasts are principally responsible for the development of SASP. This, in turn, activates NF-kB, ROS, and FOXOs, indicating a decline in the number of osteoprogenitor cells. Collectively, these factors contribute to the connection between cellular senescence and osteoporosis.

Aged (24 months old) mice display notable senescent traits in their bone tissue, such as osteoblasts, osteocytes, and bone marrow mesenchymal stem cells, in addition to a decline in bone mass when compared with young (6 months old) mice (Farr et al., 2016a). Furthermore, a study on a senescence-accelerated model demonstrated that an upsurge in senescent osteoblasts decreased the bone formation capacity, culminating in osteoporosis in model mice (Wang et al., 2012). These findings imply that cellular senescence plays a role in osteoporosis development and is a crucial underlying cause of this disease.

3.4 Metabolic cardiovascular disease

Cardiovascular maladies frequently coexist with obesity, diabetes, dyslipidemia, and other metabolic anomalies. Clinically, metabolic cardiovascular diseases are closely related to metabolic abnormalities. It is a clinical syndrome wherein atherosclerosis is the main pathophysiological change, and cardiovascular and cerebrovascular events are the primary outcomes. The intervention of metabolic disorders can improve the prognosis (Stefan, 2020; Herman and Birnbaum, 2021).

In metabolic cardiovascular disease, aging is considered as a crucial independent risk factor for pathological manifestations such as atherosclerosis. Senescent endothelial cells are often detected in atherosclerotic plaques of elderly patients, thereby indicating that endothelial cell senescence might be a possible factor in the occurrence and development of atherosclerosis (Bonello-Palot et al., 2014). Research has demonstrated that the senescence of endothelial cells can contribute to the primary pathological indications of metabolic cardiovascular illnesses such as atherosclerosis through several mechanisms. The initial alterations and significant aspects of metabolic cardiovascular illnesses such as atherosclerosis are impaired endothelial function and increased inflammatory factors resulting from endothelial cell senescence, which are evidenced by chronic inflammation, oxidative stress, and decreased nitric oxide (NO) bioavailability closely associated with cellular senescence. All of these factors contribute to cardiovascular harm (Shakeri et al., 2018). For example, NO released by normal endothelial cells can prevent platelet aggregation, while reduced activity of endothelial nitric oxide synthase and decreased NO production are discovered in senescent endothelial cells (Lee et al., 2017). Normal endothelial cells produce NO that can impede apoptosis, such as inhibiting caspases, which are crucial factors in the apoptotic cascade; however, aging endothelial cells have a reduced NO bioavailability, and such cells cannot hinder endothelial apoptosis induced by diverse stimuli, leading to impaired endothelial function. In addition, the SASP from senescent endothelial cells can incite widespread inflammation in endothelial tissue, promoting atherosclerosis (Sun et al., 2022). Furthermore, extracellular vesicles generated by normal endothelial cells sustain intravascular homeostasis, whereas microvesicles produced by senescent endothelial cells have been found to stimulate the calcification of vascular smooth muscle cells, thereby contributing to vascular injury (Alique et al., 2017).

Other studies have displayed that the expression level of pro-inflammatory cytokines such as IL-1β, IL-6, TNF-α, and interferon γ is increased in the elastic arteries of the elderly (Wang et al., 2007). Simultaneously, increased levels of various adhesion molecules and decreased levels of thromboregulatory proteins have been found in senescent vascular endothelial cells, which promote atherosclerosis (Minamino and Komuro, 2007). Hence, cellular senescence not only causes metabolic cardiovascular diseases but also provides a novel entry point for the treatment of metabolic cardiovascular diseases.

4 Therapeutic potentials of targeted removal of senescent cells

As previously mentioned, cellular senescence in metabolic disorders plays a pivotal role in their development from various perspectives. Thus, investigating new therapeutic strategies that target the elimination of senescent cells is necessary. Compared with conventional treatments, the targeting of senescent cells may have beneficial therapeutic effects by reducing the abundance of senescent cells (Fafian-Labora et al., 2020). This approach can prevent the early onset of metabolic diseases and effectively manage metabolic diseases, such as T2DM. Consequently, the interventional approach of selectively removing senescent cells is considered as a valuable therapeutic option for metabolic disorders.

4.1 Targeted therapies to remove senescent cells

As research into aging continues to progress, numerous compounds have been developed, which target the elimination of senescent cells (Senolytics) or the inhibition of SASP phenotypes (Senomorphics) in response to the apoptotic resistance and other characteristics of senescent cells, along with targeted antibodies, cell therapy, cytokine induction, and other therapeutic approaches. Removing senescent cells, breaking the vicious cycle of inflammation and cellular senescence, and restoring the physiological function of patients with metabolic diseases have shown great therapeutic potential.

Recent experiments have demonstrated that senolytics such as quercetin, dasatinib, and laccasein can delay or even reverse the aging process, improve metabolic profiles. Quercetin can act on several therapeutic targets in diabetes, including inhibiting intestinal glucose absorption, improving insulin secretion, enhancing insulin action, improving glucose utilization in peripheral tissues (Dhanya, 2022). In natural aging models in mice treated with laccasein, SASP factors were significantly reduced, oxidative stress decreased, tissue homeostasis restored, and the maximum median life span of mice increased (Yousefzadeh et al., 2018). In studies involving adipose tissue, treatment with a senolytic combination of dasatinib with quercetin (Dasatinib plus Quercetin, D+Q) resulted in decreased expression of p21 and p16 INK4a in adipose tissue, significantly reduced expression of pro-inflammatory cytokines, and improved glucose tolerance and insulin resistance in mice with obesity (Palmer et al., 2019a). Bcl-2 inhibitors reduced the level of islet inflammation by selectively eliminating senescent β cells with high Bcl-2 expression, thereby preventing or delaying the onset of T1DM (Thompson et al., 2019). In animal experiments in osteoporosis, either D+Q treatment and genetically encoded elimination of senescent cells or the use of JAK inhibitors suppressed the production of a pro-inflammatory secretome of senescent cells, remarkably improving the osteoblast microenvironment in mice, increasing bone mass and strength, and obtaining better bone microarchitecture (Farr et al., 2017). In aged or atherosclerotic mouse models, treatment with D+Q reduced the number of senescent cells in the middle aortic layer and improved vasodilatory function (Roos et al., 2016). These studies further confirm the causal relationship between senescent cells and metabolic diseases such as osteoporosis and DM and suggest that the removal of senescent cells may not only delay the development of metabolic diseases but also produce positive therapeutic effects.

Additionally, the development of novel senolytics, targeted anti-aging drugs and the pursuit of regenerative therapies through metabolic intervention are all endeavors that deserve significant attention. A study using CAR-T cells as senolytics, targeting the specific protein urokinase-type fibrinogen activator receptor on the surface of senescent cells, was effective in removing senescent cells in vitro and in vivo, prolonging survival and restoring tissue homeostasis in model mice (Amor et al., 2020). Other recent studies have used glutaminase 1 inhibitors as senolytics to inhibit glutaminolysis and induce acidosis and death of senescent cells, with improved physiological function and motility in the experimental group of aged mice (Johmura et al., 2021). These studies suggest the potential of senolytics for greater application in the treatment of metabolic diseases. Moreover, antibody-drug conjugates targeting the senescent surface group marker B2M selectively killed senescent cells without causing toxicity to proliferating cells (Poblocka et al., 2021). This finding demonstrates the feasibility of antibody-based targeted anti-aging drugs and provides a new avenue for the development of novel drugs. And in investigating the importance of metabolic intervention in tissue repair and regeneration, a recent study identified metabolites, including uridine, that can rejuvenate aged stem cells and promote tissue regeneration through a combination of metabolomics analysis and small molecule screening (Liu et al., 2022), potentially paving the way for the development of new regenerative therapies to combat cellular senescence.

Although the targeted elimination of senescent cells has demonstrated greater potential for treating diseases, recent research has revealed that the therapeutic effect is also directly affected by the type of cells selected for senescent cell removal, as well as the rate and timing of removal. In studies conducted on knockout mice, the rapid removal of senescent hepatic sinusoidal endothelial cells that expressed high levels of p16Ink4a resulted in the ineffective replacement of these cells, thereby disrupting the blood tissue barrier and triggering fibrosis in the liver and perivascular tissues (Grosse et al., 2020). Furthermore, senescent cells increased in the liver of rats during hemorrhagic shock, where the senescent cells played a positive role in injury repair by producing the SASP, and their removal through the D+Q method resulted in the rapid death of the rats (Chu et al., 2020). At present, fewer studies have been conducted to understand the molecular mechanism of senolytics and senomorphics, as well as their therapeutic potential, and our knowledge of their therapeutic strategies remains limited. Nonetheless, concentrating on the therapeutic value of senolytics in metabolic diseases and conducting clinical trials are necessary. Furthermore, senolytics, which eliminate senescent cells, will be a novel drug for the treatment of metabolic diseases.

4.2 Therapeutic role of senescent cell removal in the treatment of metabolic diseases

In metabolic disorders, cellular senescence is a major contributor to their development by inducing inflammatory responses and diminishing cellular functions. The SASP is a significant factor in the contribution of cellular senescence to metabolic diseases. Senescent cells continuously release cellular inflammatory factors, including IL-1, IL-6, and IL-12, and stimulate the conversion of pro-inflammatory M1 macrophage polarization, thereby activating the inflammatory response during the early stages of injury (Lau et al., 2019; Zhang et al., 2019). In turn, the persistent inflammatory response is a key etiology of metabolic diseases such as atherosclerosis, DM, and osteoarthritis.

The expression level of IL-1α, IL-6, CXCL1, and TNF-α was reduced; the locomotor and coordination abilities of experimental mice were enhanced, and metabolic disorders were improved after the targeted removal of senescent cells using the β-galactosidase-targeted prodrug SSK1 in different tissues (Cai et al., 2020). The abovementioned study illustrates that the targeted removal of senescent cells can alleviate the inflammatory microenvironment, which leads to therapeutic effects on metabolic diseases.

Moreover, senescent cells not only produce SASP to trigger tissue dysfunction, but also accelerate the rate of senescence in surrounding cells and expand the scope of senescence in surrounding tissues, leading to a series of changes such as persistent DNA damage response in pancreatic β-cells, vascular endothelial cells (Zhao et al., 2020), senescence-associated mitochondrial dysfunction (Miwa et al., 2022) and ultimately promoting metabolic disorders such as T2DM, MetS, osteoporosis, and atherosclerotic cardiovascular diseases. Therefore, the elimination of senescent cells directly protects the key cells of metabolic regulation, protects the metabolic function of the body, and prevents or treats metabolic disorders (Table 1).

TABLE 1
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TABLE 1. The interventional effects of senotherapy in metabolic diseases.

5 Discussion

A complex and dynamic interplay exists between cellular senescence and metabolic diseases. Senescent cells instigate metabolic imbalances across various tissues, thereby fostering cellular senescence. This phenomenon creates a vicious cycle that precipitates the emergence of diverse metabolic diseases. However, the precise role of cellular senescence in metabolic diseases, including its regulatory mechanisms and key molecules, remains to be fully elucidated. Further in-depth exploration of these roles and mechanisms can facilitate the development of novel approaches for the prevention and treatment of metabolic diseases by leveraging the perspective of cellular senescence. This process would involve the identification of fresh targets for the removal of senescent cells in metabolic diseases, improving the therapeutic potential and application value of targeted senescent cell removal in metabolic diseases and generating valuable basic research data for the exploration of safe and effective therapeutic approaches for metabolic diseases, along with clinical treatment entry points.

Author contributions

HuZ: Writing–original draft, Visualization. HaZ: Writing–original draft, Visualization. XS: Writing–original draft. XL: Writing–original draft. YuZ: Writing–original draft. YS: Writing–original draft. YiZ: Writing–original draft. LZ: Writing–review and editing, Funding acquisition. DZ: Writing–original draft, Writing–review and editing, Funding acquisition, Supervision.

Funding

The authors declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Basic Public Welfare Research Project of Zhejiang Province (Grant No. LGD22H250002), Scientific Research Foundation for Returned Scholars of Hangzhou City (2021), China Postdoctoral Science Foundation (2020M681811) and National College Students’ Innovative and Entrepreneurship Training Program of China (Grant Nos. 202113021030 and 202213021029).

Acknowledgments

Authors would like to thank the Figdraw program that all figures in this manuscript were created with Figdraw.com.

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.

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References

Ademowo, O. S., Dias, H. K. I., Burton, D. G. A., and Griffiths, H. R. (2017). Lipid (per) oxidation in mitochondria: an emerging target in the ageing process? Biogerontology 18 (6), 859–879. doi:10.1007/s10522-017-9710-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Aguayo-Mazzucato, C., Andle, J., Lee, T. B., Midha, A., Talemal, L., Chipashvili, V., et al. (2019). Acceleration of β cell aging determines diabetes and senolysis improves disease outcomes. Cell Metab. 30 (1), 129–142. doi:10.1016/j.cmet.2019.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Aguayo-Mazzucato, C., van Haaren, M., Mruk, M., Lee, T. B., Crawford, C., Hollister-Lock, J., et al. (2017). β cell aging markers have heterogeneous distribution and are induced by insulin resistance. Cell Metab. 25 (4), 898–910. doi:10.1016/j.cmet.2017.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Ahima, R. S. (2009). Connecting obesity, aging and diabetes. Nat. Med. 15 (9), 996–997. doi:10.1038/nm0909-996

PubMed Abstract | CrossRef Full Text | Google Scholar

Alberti, K. G., Zimmet, P., and Shaw, J.IDF Epidemiology Task Force Consensus Group (2005). The metabolic syndrome-a new worldwide definition. Lancet 366 (9491), 1059–1062. doi:10.1016/s0140-6736(05)67402-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Alique, M., Ru铆z-Torres, M. P., Bodega, G., Noci, M. V., Troyano, N., Boh贸rquez, L., et al. (2017). Microvesicles from the plasma of elderly subjects and from senescent endothelial cells promote vascular calcification. Aging 9 (3), 778–789. doi:10.18632/aging.101191

PubMed Abstract | CrossRef Full Text | Google Scholar

Amor, C., Feucht, J., Leibold, J., Ho, Y.-J., Zhu, C., Alonso-Curbelo, D., et al. (2020). Senolytic CAR T cells reverse senescence-associated pathologies. Nature 583 (7814), 127–132. doi:10.1038/s41586-020-2403-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Birch, J., and Gil, J. (2020). Senescence and the SASP: many therapeutic avenues. Genes and Dev. 34 (23-24), 1565–1576. doi:10.1101/gad.343129.120

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonello-Palot, N., Simoncini, S., Robert, S., Bourgeois, P., Sabatier, F., Levy, N., et al. (2014). Prelamin A accumulation in endothelial cells induces premature senescence and functional impairment. Atherosclerosis 237 (1), 45–52. doi:10.1016/j.atherosclerosis.2014.08.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Burton, D. G. A., and Faragher, R. G. A. (2018). Obesity and type-2 diabetes as inducers of premature cellular senescence and ageing. Biogerontology 19 (6), 447–459. doi:10.1007/s10522-018-9763-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, Y., Song, W., Li, J., Jing, Y., Liang, C., Zhang, L., et al. (2022). The landscape of aging. Sci. China Life Sci. 65 (12), 2354–2454. doi:10.1007/s11427-022-2161-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, Y., Zhou, H., Zhu, Y., Sun, Q., Ji, Y., Xue, A., et al. (2020). Elimination of senescent cells by beta-galactosidase-targeted prodrug attenuates inflammation and restores physical function in aged mice. Cell Res. 30 (7), 574–589. doi:10.1038/s41422-020-0314-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Chow, H. M., Shi, M., Cheng, A., Gao, Y., Chen, G., Song, X., et al. (2019). Age-related hyperinsulinemia leads to insulin resistance in neurons and cell-cycle-induced senescence. Nat. Neurosci. 22 (11), 1806–1819. doi:10.1038/s41593-019-0505-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Chu, X., Wen, J., and Raju, R. P. (2020). Rapid senescence-like response after acute injury. Aging Cell 19 (9), e13201. doi:10.1111/acel.13201

PubMed Abstract | CrossRef Full Text | Google Scholar

Coppé, J. P., Patil, C. K., Rodier, F., Sun, Y., Muñoz, D. P., Goldstein, J., et al. (2008). Senescence-associated secretory phenotypes reveal cell-nonautonomous functions of oncogenic RAS and the p53 tumor suppressor. PLoS Biol. 6 (12), 2853–2868. doi:10.1371/journal.pbio.0060301

PubMed Abstract | CrossRef Full Text | Google Scholar

Crespo-Garcia, S., Tsuruda, P. R., Dejda, A., Ryan, R. D., Fournier, F., Chaney, S. Y., et al. (2021). Pathological angiogenesis in retinopathy engages cellular senescence and is amenable to therapeutic elimination via BCL-xL inhibition. Cell Metab. 33 (4), 818–832.e7. doi:10.1016/j.cmet.2021.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Crouch, J., Shvedova, M., Thanapaul, R., Botchkarev, V., and Roh, D. (2022). Epigenetic regulation of cellular senescence. Cells 11 (4), 672. doi:10.3390/cells11040672

PubMed Abstract | CrossRef Full Text | Google Scholar

Davan-Wetton, C. S. A., Pessolano, E., Perretti, M., and Montero-Melendez, T. (2021). Senescence under appraisal: hopes and challenges revisited. Cell Mol. Life Sci. 78 (7), 3333–3354. doi:10.1007/s00018-020-03746-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dhanya, R. (2022). Quercetin for managing type 2 diabetes and its complications, an insight into multitarget therapy. Biomed. Pharmacother. = Biomedecine Pharmacother. 146, 112560. doi:10.1016/j.biopha.2021.112560

CrossRef Full Text | Google Scholar

Di Micco, R., Krizhanovsky, V., Baker, D., and d'Adda di Fagagna, F. (2021). Cellular senescence in ageing: from mechanisms to therapeutic opportunities. Nat. Rev. Mol. Cell Biol. 22 (2), 75–95. doi:10.1038/s41580-020-00314-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Dominguez, L. J., and Barbagallo, M. (2016). The biology of the metabolic syndrome and aging. Curr. Opin. Clin. Nutr. Metab. Care 19 (1), 5–11. doi:10.1097/mco.0000000000000243

PubMed Abstract | CrossRef Full Text | Google Scholar

Evangelou, K., Vasileiou, P. V. S., Papaspyropoulos, A., Hazapis, O., Petty, R., Demaria, M., et al. (2023). Cellular senescence and cardiovascular diseases: moving to the "heart" of the problem. Physiol. Rev. 103 (1), 609–647. doi:10.1152/physrev.00007.2022

PubMed Abstract | CrossRef Full Text | Google Scholar

Fafian-Labora, J. A., Rodriguez-Navarro, J. A., and O'Loghlen, A. (2020). Small extracellular vesicles have GST activity and ameliorate senescence-related tissue damage. Cell Metab. 32 (1), 71–86. doi:10.1016/j.cmet.2020.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Fahed, G., Aoun, L., Bou Zerdan, M., Allam, S., Bou Zerdan, M., Bouferraa, Y., et al. (2022). Metabolic syndrome: updates on pathophysiology and management in 2021. Int. J. Mol. Sci. 23 (2), 786. doi:10.3390/ijms23020786

PubMed Abstract | CrossRef Full Text | Google Scholar

Farr, J. N., Fraser, D. G., Wang, H., Jaehn, K., Ogrodnik, M. B., Weivoda, M. M., et al. (2016a). Identification of senescent cells in the bone microenvironment. J. Bone Mineral Res. 31 (11), 1920–1929. doi:10.1002/jbmr.2892

PubMed Abstract | CrossRef Full Text | Google Scholar

Farr, J. N., Fraser, D. G., Wang, H., Jaehn, K., Ogrodnik, M. B., Weivoda, M. M., et al. (2016b). Identification of senescent cells in the bone microenvironment. J. Bone Min. Res. 31 (11), 1920–1929. doi:10.1002/jbmr.2892

PubMed Abstract | CrossRef Full Text | Google Scholar

Farr, J. N., and Khosla, S. (2019). Cellular senescence in bone. Bone 121, 121–133. doi:10.1016/j.bone.2019.01.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Farr, J. N., Rowsey, J. L., Eckhardt, B. A., Thicke, B. S., Fraser, D. G., Tchkonia, T., et al. (2019). Independent roles of estrogen deficiency and cellular senescence in the pathogenesis of osteoporosis: evidence in young adult mice and older humans. J. Bone Mineral Res. 34 (8), 1407–1418. doi:10.1002/jbmr.3729

CrossRef Full Text | Google Scholar

Farr, J. N., Xu, M., Weivoda, M. M., Monroe, D. G., Fraser, D. G., Onken, J. L., et al. (2017). Targeting cellular senescence prevents age-related bone loss in mice. Nat. Med. 23 (9), 1072–1079. doi:10.1038/nm.4385

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Z., Daquinag, A. C., Fussell, C., Zhao, Z., Dai, Y., Rivera, A., et al. (2020). Age-associated telomere attrition in adipocyte progenitors predisposes to metabolic disease. Nat. Metab. 2 (12), 1482–1497. doi:10.1038/s42255-020-00320-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Geng, Q., Gao, H., Yang, R., Guo, K., and Miao, D. (2019). Pyrroloquinoline quinone prevents estrogen deficiency-induced osteoporosis by inhibiting oxidative stress and osteocyte senescence. Int. J. Biol. Sci. 15 (1), 58–68. doi:10.7150/ijbs.25783

PubMed Abstract | CrossRef Full Text | Google Scholar

Gorgoulis, V., Adams, P. D., Alimonti, A., Bennett, D. C., Bischof, O., Bishop, C., et al. (2019). Cellular senescence: defining a path forward. Cell 179 (4), 813–827. doi:10.1016/j.cell.2019.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Grosse, L., Wagner, N., Emelyanov, A., Molina, C., Lacas-Gervais, S., Wagner, K. D., et al. (2020). Defined p16(high) senescent cell types are indispensable for mouse healthspan. Cell Metab. 32 (1), 87–99. doi:10.1016/j.cmet.2020.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Hammarstedt, A., Gogg, S., Hedjazifar, S., Nerstedt, A., and Smith, U. (2018). Impaired adipogenesis and dysfunctional adipose tissue in human hypertrophic obesity. Physiol. Rev. 98 (4), 1911–1941. doi:10.1152/physrev.00034.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Hassan, J. W., and Bhatwadekar, A. D. (2022). Senolytics in the treatment of diabetic retinopathy. Front. Pharmacol. 13, 896907. doi:10.3389/fphar.2022.896907

PubMed Abstract | CrossRef Full Text | Google Scholar

He, S., and Sharpless, N. E. (2017). Senescence in health and disease. Cell 169 (6), 1000–1011. doi:10.1016/j.cell.2017.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Herman, M. A., and Birnbaum, M. J. (2021). Molecular aspects of fructose metabolism and metabolic disease. Cell Metab. 33 (12), 2329–2354. doi:10.1016/j.cmet.2021.09.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Hernandez-Saavedra, D., Moody, L., Xu, G. B., Chen, H., and Pan, Y. X. (2019). Epigenetic regulation of metabolism and inflammation by calorie restriction. Adv. Nutr. 10 (3), 520–536. doi:10.1093/advances/nmy129

PubMed Abstract | CrossRef Full Text | Google Scholar

Hickson, L. J., Langhi Prata, L. G. P., Bobart, S. A., Evans, T. K., Giorgadze, N., Hashmi, S. K., et al. (2019). Senolytics decrease senescent cells in humans: preliminary report from a clinical trial of dasatinib plus quercetin in individuals with diabetic kidney disease. EBioMedicine 47, 446–456. doi:10.1016/j.ebiom.2019.08.069

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, W., Hickson, L. J., Eirin, A., Kirkland, J. L., and Lerman, L. O. (2022). Cellular senescence: the good, the bad and the unknown. Nat. Rev. Nephrol. 18 (10), 611–627. doi:10.1038/s41581-022-00601-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Ishikawa, S., and Ishikawa, F. (2020). Proteostasis failure and cellular senescence in long-term cultured postmitotic rat neurons. Aging Cell 19 (1), e13071. doi:10.1111/acel.13071

PubMed Abstract | CrossRef Full Text | Google Scholar

Jambhekar, A., Dhall, A., and Shi, Y. (2019). Roles and regulation of histone methylation in animal development. Nat. Rev. Mol. Cell Biol. 20 (10), 625–641. doi:10.1038/s41580-019-0151-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Johmura, Y., Yamanaka, T., Omori, S., Wang, T.-W., Sugiura, Y., Matsumoto, M., et al. (2021). Senolysis by glutaminolysis inhibition ameliorates various age-associated disorders. Sci. (New York, N.Y.) 371 (6526), 265–270. doi:10.1126/science.abb5916

CrossRef Full Text | Google Scholar

Kassem, M., and Marie, P. J. (2011). Senescence-associated intrinsic mechanisms of osteoblast dysfunctions. Aging Cell 10 (2), 191–197. doi:10.1111/j.1474-9726.2011.00669.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Krstic, J., Reinisch, I., Schupp, M., Schulz, T. J., and Prokesch, A. (2018). p53 functions in adipose tissue metabolism and homeostasis. Int. J. Mol. Sci. 19 (9), 2622. doi:10.3390/ijms19092622

PubMed Abstract | CrossRef Full Text | Google Scholar

Lau, L., Porciuncula, A., Yu, A., Iwakura, Y., and David, G. (2019). Uncoupling the senescence-associated secretory phenotype from cell cycle exit via interleukin-1 inactivation unveils its protumorigenic role. Mol. Cell Biol. 39 (12), e00586-18. doi:10.1128/MCB.00586-18

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H.-Y., Zeeshan, H. M. A., Kim, H.-R., and Chae, H.-J. (2017). Nox4 regulates the eNOS uncoupling process in aging endothelial cells. Free Radic. Biol. Med. 113, 26–35. doi:10.1016/j.freeradbiomed.2017.09.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Q., Hagberg, C. E., Silva Cascales, H., Lang, S., Hyvonen, M. T., Salehzadeh, F., et al. (2021). Obesity and hyperinsulinemia drive adipocytes to activate a cell cycle program and senesce. Nat. Med. 27 (11), 1941–1953. doi:10.1038/s41591-021-01501-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Z., Li, W., Geng, L., Sun, L., Wang, Q., Yu, Y., et al. (2022). Cross-species metabolomic analysis identifies uridine as a potent regeneration promoting factor. Cell Discov. 8 (1), 6. doi:10.1038/s41421-021-00361-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, Y., Eirin, A., Zhu, X. Y., Tang, H., Hickson, L. J., Lerman, A., et al. (2018). Micro-RNAS regulate metabolic syndrome-induced senescence in porcine adipose tissue-derived mesenchymal stem cells through the P16/MAPK pathway. Cell Transplant. 27 (10), 1495–1503. doi:10.1177/0963689718795692

PubMed Abstract | CrossRef Full Text | Google Scholar

Minamino, T., and Komuro, I. (2007). Vascular cell senescence: contribution to atherosclerosis. Circ. Res. 100 (1), 15–26. doi:10.1161/01.RES.0000256837.40544.4a

PubMed Abstract | CrossRef Full Text | Google Scholar

Minamino, T., Orimo, M., Shimizu, I., Kunieda, T., Yokoyama, M., Ito, T., et al. (2009). A crucial role for adipose tissue p53 in the regulation of insulin resistance. Nat. Med. 15 (9), 1082–1087. doi:10.1038/nm.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Miwa, S., Kashyap, S., Chini, E., and von Zglinicki, T. (2022). Mitochondrial dysfunction in cell senescence and aging. J. Clin. Investigation 132 (13), e158447. doi:10.1172/JCI158447

CrossRef Full Text | Google Scholar

Mohamad, N.-V., Ima-Nirwana, S., and Chin, K.-Y. (2020). Are oxidative stress and inflammation mediators of bone loss due to estrogen deficiency? A review of current evidence. Endocr. Metabolic Immune Disord. Drug Targets 20 (9), 1478–1487. doi:10.2174/1871530320666200604160614

CrossRef Full Text | Google Scholar

Molagoda, I. M. N., Kang, C.-H., Lee, M.-H., Choi, Y. H., Lee, C.-M., Lee, S., et al. (2021). Fisetin promotes osteoblast differentiation and osteogenesis through GSK-3β phosphorylation at Ser9 and consequent β-catenin activation, inhibiting osteoporosis. Biochem. Pharmacol. 192, 114676. doi:10.1016/j.bcp.2021.114676

PubMed Abstract | CrossRef Full Text | Google Scholar

Murakami, T., Inagaki, N., and Kondoh, H. (2022). Cellular senescence in diabetes mellitus: distinct senotherapeutic strategies for adipose tissue and pancreatic β cells. Front. Endocrinol. 13, 869414. doi:10.3389/fendo.2022.869414

CrossRef Full Text | Google Scholar

Nunn, A. V., Bell, J. D., and Guy, G. W. (2009). Lifestyle-induced metabolic inflexibility and accelerated ageing syndrome: insulin resistance, friend or foe? Nutr. Metabolism 6, 16. doi:10.1186/1743-7075-6-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Ogrodnik, M., Zhu, Y., Langhi, L. G. P., Tchkonia, T., Kruger, P., Fielder, E., et al. (2019). Obesity-induced cellular senescence drives anxiety and impairs neurogenesis. Cell Metab. 29 (5), 1233. doi:10.1016/j.cmet.2019.01.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Palmer, A. K., Gustafson, B., Kirkland, J. L., and Smith, U. (2019a). Cellular senescence: at the nexus between ageing and diabetes. Diabetologia 62 (10), 1835–1841. doi:10.1007/s00125-019-4934-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Palmer, A. K., Xu, M., Zhu, Y., Pirtskhalava, T., Weivoda, M. M., Hachfeld, C. M., et al. (2019b). Targeting senescent cells alleviates obesity-induced metabolic dysfunction. Aging Cell 18 (3), e12950. doi:10.1111/acel.12950

PubMed Abstract | CrossRef Full Text | Google Scholar

Peng, X., Zhou, X., Yin, Y., Luo, B., Liu, Y., and Yang, C. (2022). Inflammatory microenvironment accelerates bone marrow mesenchymal stem cell aging. Front. Bioeng. Biotechnol. 10, 870324. doi:10.3389/fbioe.2022.870324

PubMed Abstract | CrossRef Full Text | Google Scholar

Petersen, M. C., and Shulman, G. I. (2018). Mechanisms of insulin action and insulin resistance. Physiol. Rev. 98 (4), 2133–2223. doi:10.1152/physrev.00063.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Poblocka, M., Bassey, A. L., Smith, V. M., Falcicchio, M., Manso, A. S., Althubiti, M., et al. (2021). Targeted clearance of senescent cells using an antibody-drug conjugate against a specific membrane marker. Sci. Rep. 11 (1), 20358. doi:10.1038/s41598-021-99852-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Polyzos, S. A., Anastasilakis, A. D., Efstathiadou, Z. A., Yavropoulou, M. P., and Makras, P. (2021). Postmenopausal osteoporosis coexisting with other metabolic diseases: treatment considerations. Maturitas 147, 19–25. doi:10.1016/j.maturitas.2021.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Roos, C. M., Zhang, B., Palmer, A. K., Ogrodnik, M. B., Pirtskhalava, T., Thalji, N. M., et al. (2016). Chronic senolytic treatment alleviates established vasomotor dysfunction in aged or atherosclerotic mice. Aging Cell 15 (5), 973–977. doi:10.1111/acel.12458

PubMed Abstract | CrossRef Full Text | Google Scholar

Saleh, T., Tyutyunyk-Massey, L., and Gewirtz, D. A. (2019). Tumor cell escape from therapy-induced senescence as a model of disease recurrence after dormancy. Cancer Res. 79 (6), 1044–1046. doi:10.1158/0008-5472.CAN-18-3437

PubMed Abstract | CrossRef Full Text | Google Scholar

Sen, P., Shah, P. P., Nativio, R., and Berger, S. L. (2016). Epigenetic mechanisms of longevity and aging. Cell 166 (4), 822–839. doi:10.1016/j.cell.2016.07.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Shakeri, H., Lemmens, K., Gevaert, A. B., De Meyer, G. R. Y., and Segers, V. F. M. (2018). Cellular senescence links aging and diabetes in cardiovascular disease. Am. J. Physiology. Heart Circulatory Physiology 315 (3), H448–H462. doi:10.1152/ajpheart.00287.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, S., Lam, E. W. F., Tchkonia, T., Kirkland, J. L., and Sun, Y. (2020). Senescent cells: emerging targets for human aging and age-related diseases. Trends Biochem. Sci. 45 (7), 578–592. doi:10.1016/j.tibs.2020.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Soundararajan, A., Yoganantharajah, P., Raghavan, S., Mohan, V., Balasubramanyam, M., and Gibert, Y. (2019). Bisphenol A exposure under metabolic stress induces accelerated cellular senescence in vivo in a p53 independent manner. Sci. Total Environ. 689, 1201–1211. doi:10.1016/j.scitotenv.2019.06.391

PubMed Abstract | CrossRef Full Text | Google Scholar

Spinelli, R., Parrillo, L., Longo, M., Florese, P., Desiderio, A., Zatterale, F., et al. (2020). Molecular basis of ageing in chronic metabolic diseases. J. Endocrinol. Investigation 43 (10), 1373–1389. doi:10.1007/s40618-020-01255-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Sreekumar, P. G., Hinton, D. R., and Kannan, R. (2020). The emerging role of senescence in ocular disease. Oxidative Med. Cell. Longev. 2020, 2583601. doi:10.1155/2020/2583601

PubMed Abstract | CrossRef Full Text | Google Scholar

Stefan, N. (2020). Causes, consequences, and treatment of metabolically unhealthy fat distribution. Lancet Diabetes Endocrinol. 8 (7), 616–627. doi:10.1016/S2213-8587(20)30110-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Su, Y., Xu, C., Sun, Z., Liang, Y., Li, G., Tong, T., et al. (2019). S100A13 promotes senescence-associated secretory phenotype and cellular senescence via modulation of non-classical secretion of IL-1α. Aging 11 (2), 549–572. doi:10.18632/aging.101760

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, Y., Wang, X., Liu, T., Zhu, X., and Pan, X. (2022). The multifaceted role of the SASP in atherosclerosis: from mechanisms to therapeutic opportunities. Cell and Biosci. 12 (1), 74. doi:10.1186/s13578-022-00815-5

CrossRef Full Text | Google Scholar

Tavallaie, M., Voshtani, R., Deng, X., Qiao, Y., Jiang, F., Collman, J. P., et al. (2020). Moderation of mitochondrial respiration mitigates metabolic syndrome of aging. Proc. Natl. Acad. Sci. U. S. A. 117 (18), 9840–9850. doi:10.1073/pnas.1917948117

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, P. J., Shah, A., Ntranos, V., Van Gool, F., Atkinson, M., and Bhushan, A. (2019). Targeted elimination of senescent beta cells prevents type 1 diabetes. Cell Metab. 29 (5), 1045–1060. doi:10.1016/j.cmet.2019.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Tudurí, E., Soriano, S., Almagro, L., García-Heredia, A., Rafacho, A., Alonso-Magdalena, P., et al. (2022). The effects of aging on male mouse pancreatic β-cell function involve multiple events in the regulation of secretion: influence of insulin sensitivity. Journals Gerontology. Ser. A, Biol. Sci. Med. Sci. 77 (3), 405–415. doi:10.1093/gerona/glab276

CrossRef Full Text | Google Scholar

Wang, H., Chen, Q., Lee, S. H., Choi, Y., Johnson, F. B., and Pignolo, R. J. (2012). Impairment of osteoblast differentiation due to proliferation-independent telomere dysfunction in mouse models of accelerated aging. Aging Cell 11 (4), 704–713. doi:10.1111/j.1474-9726.2012.00838.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, M., Zhang, J., Jiang, L.-Q., Spinetti, G., Pintus, G., Monticone, R., et al. (2007). Proinflammatory profile within the grossly normal aged human aortic wall. Hypertension 50 (1), 219–227. doi:10.1161/hypertensionaha.107.089409

PubMed Abstract | CrossRef Full Text | Google Scholar

Weitzmann, M. N., and Pacifici, R. (2006). Estrogen deficiency and bone loss: an inflammatory tale. J. Clin. Investigation 116 (5), 1186–1194. doi:10.1172/JCI28550

PubMed Abstract | CrossRef Full Text | Google Scholar

Wiley, C. D., and Campisi, J. (2021). The metabolic roots of senescence: mechanisms and opportunities for intervention. Nat. Metab. 3 (10), 1290–1301. doi:10.1038/s42255-021-00483-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, X., Gao, Z., Zhou, Y., Gao, F., and Li, Q. (2022). Expressions of IGF-1R and Ki-67 in breast cancer patients with diabetes mellitus and an analysis of biological characteristics. Pak. J. Med. Sci. 38 (1), 281–286. doi:10.12669/pjms.38.1.4718

PubMed Abstract | CrossRef Full Text | Google Scholar

Yaribeygi, H., Farrokhi, F. R., Butler, A. E., and Sahebkar, A. (2019). Insulin resistance: review of the underlying molecular mechanisms. J. Cell. Physiology 234 (6), 8152–8161. doi:10.1002/jcp.27603

PubMed Abstract | CrossRef Full Text | Google Scholar

Yousefzadeh, M. J., Zhu, Y., McGowan, S. J., Angelini, L., Fuhrmann-Stroissnigg, H., Xu, M., et al. (2018). Fisetin is a senotherapeutic that extends health and lifespan. EBioMedicine 36, 18–28. doi:10.1016/j.ebiom.2018.09.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, D., Lu, H., Chen, Z., Wang, Y., Lin, J., Xu, S., et al. (2017). High glucose induces the aging of mesenchymal stem cells via Akt/mTOR signaling. Mol. Med. Rep. 16 (2), 1685–1690. doi:10.3892/mmr.2017.6832

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, D. Y., Pan, Z. Y., Yu, X. K., Chen, Y. F., Gao, C. H., Yang, Y. T., et al. (2019). Bifidobacterium lactis BB-12 attenuates macrophage aging induced by D-galactose and promotes M2 macrophage polarization. J. Immunol. Res. 2019, 4657928. doi:10.1155/2019/4657928

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Z., Dong, Q., Liu, X., Wei, L., Liu, L., Li, Y., et al. (2020). Dynamic transcriptome profiling in DNA damage-induced cellular senescence and transient cell-cycle arrest. Genomics 112 (2), 1309–1317. doi:10.1016/j.ygeno.2019.07.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cellular senescence, metabolic disease, diabetes mellitus, SASP, senolytic

Citation: Zhang H, Zhou H, Shen X, Lin X, Zhang Y, Sun Y, Zhou Y, Zhang L and Zhang D (2023) The role of cellular senescence in metabolic diseases and the potential for senotherapeutic interventions. Front. Cell Dev. Biol. 11:1276707. doi: 10.3389/fcell.2023.1276707

Received: 12 August 2023; Accepted: 18 September 2023;
Published: 06 October 2023.

Edited by:

Mingwei Min, Guangzhou National Laboratory, China

Reviewed by:

Chuqian Liang, Dana–Farber Cancer Institute, United States
Huaping Xiao, Mayo Clinic, United States

Copyright © 2023 Zhang, Zhou, Shen, Lin, Zhang, Sun, Zhou, Zhang and Zhang. 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: Dayong Zhang, emhhbmdkeUBoemN1LmVkdS5jbg==

These authors have contributed equally to this work and share first authorship

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