What this is
- This review examines the role of epigenetic mechanisms in the aging of () and skin.
- It discusses how DNA methylation, histone modifications, and noncoding RNAs influence EpSC function.
- The review also evaluates epigenetic clocks as biomarkers for assessing skin aging and explores therapeutic strategies targeting epigenetic changes.
Essence
- Epigenetic mechanisms significantly impact the aging of , leading to diminished skin resilience and function. Targeting these mechanisms may offer new therapeutic strategies to combat skin aging.
Key takeaways
- Aging leads to a 20%â30% reduction in epidermal thickness by age 70, resulting from diminished EpSC-driven keratinocyte renewal.
- Epigenetic clocks like Horvath's and VisAgeX provide precise biomarkers for assessing biological age and skin aging progression.
- Emerging therapies targeting epigenetic changes, such as retinoids and DNMT1 inhibitors, show promise in reversing age-related alterations in skin.
Caveats
- Precision in epigenetic modulation is crucial, as nonspecific interventions may lead to unintended effects.
- Effective delivery methods are needed to accurately target , and clinical trials must confirm safety and efficacy.
Definitions
- epigenetic clock: A biomarker that estimates biological age based on DNA methylation patterns.
- epidermal stem cells (EpSCs): Cells in the epidermis responsible for skin regeneration and homeostasis.
AI simplified
1. Introduction
Skin aging is a complex biological phenomenon resulting from the interplay of intrinsic factors and extrinsic influences [1]. This process significantly impairs the regenerative capacity of epidermal stem cells (EpSCs), which are pivotal for maintaining skin homeostasis [1]. The function of EpSCs is tightly regulated by epigenetic mechanisms, including DNA methylation (DNAm), histone modifications, and noncoding RNAs, all of which precisely orchestrate gene expression [2 â4]. Importantly, these epigenetic controls are increasingly recognized as key contributors to the ageârelated decline in EpSCs efficacy, thereby diminishing skin resilience [5]. The interplay between EpSCs and epigenetic regulation offers critical insights into skin aging mechanisms and potential interventions. Epigenetic clocks, such as Horvath's clock, utilize DNAm patterns to estimate biological age [6, 7]. These clocks not only provide a precise measure of cellular aging but also serve as powerful tools to uncover ageâassociated epigenetic shifts in skin cells, like VisAgeX focusing on skinâspecific epigenetic aging patterns [8 â10].
In this review, we provide a systematic analysis of the changes in EpSCs within the epidermis during skin aging and explore the underlying epigenetic mechanisms that drive their aging. Additionally, we summarized the role of epigenetic clocks in quantifying cellular aging and evaluated emerging therapeutic strategies aimed at delaying skin aging. By synthesizing recent research findings, this study seeks to elucidate the potential of epigenetic interventions targeting EpSCs to counteract ageârelated skin deterioration, thereby advancing both therapeutic and esthetic applications.
2. Changes Associated With EpSCs in the Epidermis During Skin Aging
EpSCs serve as the cornerstone of epidermal homeostasis, driving continuous renewal of keratinocytes to sustain a robust skin barrier. As skin ages, its capacity for proliferation and differentiation wanes, initiating a cascade of changes that define the aging phenotype.
2.1. Histological and Functional Decline of the Aging Epidermis
Aging precipitates a significant thinning of the epidermis, documenting a 20%â30% reduction in thickness by age 70 [11]. This attenuation stems from a diminished EpSCsâdriven renewal of keratinocytes, observable in hematoxylin and eosin (HE)âstained sections as fewer stratum corneum layers and a sparser basal cell population [12, 13]. The functional fallout is profound, as the skin's barrier weakens, leading to increased transepidermal water loss, persistent dryness (xerosis), and greater susceptibility to infections [14]. Concurrently, the dermalâepidermal junction (DEJ) loses its characteristic undulations, flattening due to impaired basal cell turnover. This structural change, represented as a straighter DEJ contour, undermines the mechanical stability and nutrient exchange between the epidermis and dermis [15]. These deficits manifest most strikingly in wound healing. Aged mice with sluggish EpSCs mobilization exhibited closure rates that were reduced by up to 50% compared with their younger counterparts. Such delays elevate the risk of chronic wounds in the elderly [16, 17]. And external factors like ultraviolet (UV) exposure make this worse. UV accelerates EpSCs decline and ushers in photoaging presented as pronounced thinning and loss of elasticity [18, 19].
The senescence of EpSCs underpins the macroscopic changes observed in aging skin. Thus, it is vital to understand the changes in EpSCs at the cellular level. Within the basal layer, senescent EpSCs exhibit nuclear alterations, including increased chromatin condensation and nucleolar fragmentation, which appear as darker, more clumped nuclear staining [20]. These changes signal DNA damage accumulation and a shift toward a senescent state, impairing the regenerative potential of the cells. Additionally, the reduction in organelle content, particularly mitochondria and endoplasmic reticulum (ER), is inferred from paler cytoplasmic staining, suggesting diminished metabolic activity [21]. In contrast to the uniform, densely packed basal layer of youthful skin, aged skin reveals larger, and darker EpSCs nuclei along with reduced cell density [22].
2.2. Cellular Reprograming of EpSCs: Adhesion, Proliferation, and Migration Loss
EpSCs anchor to the basement membrane via integrins, but aging reduces both the expression and function of these receptors. This decline lays the groundwork for the DEJ collapse [23, 24]. Diminished α3ÎČ1 integrin levels compromise stable keratinocyte adhesion to the lamininârich matrix, preventing the formation of an ordered basal layer [25]. Concurrent defects in α6ÎČ4 integrin weaken hemidesmosomal attachments to Lamininâ5 and suppress Rac1 activation [26]. In the absence of these critical mechanical cues, coordinated collective migration is disrupted, resulting in erratic cell dispersal and impaired wound closure [26, 27]. Simultaneously, chronic inflammation in aged EpSCs activates the JakâSTAT signaling pathway. This activation, in turn, drives the upregulation of EMT factors such as Snail, Zeb1, and Twistâ1, which should heighten cell motility. This potential is, however, undermined by flawed integrins that prevent the cells from securing the firm adhesion needed for effective migration [28 â30].
This incoordination is exacerbated by imbalances in intracellular signaling. In the aged, proâinflammatory microenvironment, Protein Kinase C (PKC) exhibits atypical activation [31], and contrary to its typical role, inhibits growth factor (e.g. EGF)âinduced keratinocyte migration [32]. Furthermore, the damageâassociated keratins KRT6 and KRT16, while critical for mechanical strength, adopt a dysregulated mode of action under chronic inflammation that disrupts directional sensing [33, 34]. As a result, EpSCs are stalled in a hypermetabolic, inflammatory state that lacks the coordination required for effective tissue repair [35, 36].
2.3. Molecular Drivers and Pathways Associated With EpSCs During Skin Aging
There are changes in some factors and pathways associated with EpSCs during skin aging. Elevated levels of cytokines, such as ILâ6, regulate EpSCs behavior through signaling pathways including JakâSTAT, Hippo and Notch potentially diminishing their regenerative capacity [13, 37 â39]. The inhibition of JakâSTAT signaling exacerbates regenerative decline, mirroring the delayed wound healing observed in aged murine skin [16, 40]. Moreover, the secretory activities of other cell types can modulate the extracellular matrix (ECM) to influence EpSCs in aged skin. For instance, fibroblasts produce migrasomes, a process mediated by Tetraspanin 4 (TSPAN4) that becomes impaired during skin aging [41]. Consequently, young fibroblastâderived migrasomes have been demonstrated to enhance the migration of senescent HaCaT cells, reduce reactive oxygen species (ROS) levels and downregulate proâinflammatory factors including ILâ1ÎČ, ILâ6, and MMPâ14, thereby facilitating epidermal repair [42].
In human studies, the Hippo and Notch signaling pathways, which are crucial for maintaining skin integrity, become dysregulated with age [39, 43]. Agingâassociated environmental stressors such as UV radiation and oxidative stress, may lead to mutations in the LAMB3 gene, which encodes the ÎČ 3 chain. ÎČ 3 chain is a crucial component of Lamininâ332 [44, 45]. Such mutations result in a defective Lamininâ332 protein in the basement membrane, severely compromising the integrity of the ECM and the mechanosensing function of EpSCs. This loss of ECM integrity serves as a direct signal for the dysregulation of the downstream Hippo pathway [46 â48]. The activity of key Hippo effectors, yesâassociated protein (YAP) and its paralog TAZ decreases, disrupting the balance between stem cell proliferation and differentiation [38, 49]. This is exemplified in junctional epidermolysis bullosa (JEB), where YAP inactivation leads to EpSCs depletion [50]. In addition, declining Notch activity disrupts the conversion of EpSCs into mature keratinocytes [39]. These collective deficits in selfârenewal and differentiation contribute to the characteristic thinning and fragility of aged skin [51, 52]. These molecular dynamics underscore the complex interplay between cytokine signaling, ECM components, and EpSCs senescence in driving the aging phenotype (Figure 1).

Macroscopic manifestations of epidermal cells associated with EpSCs in skin aging. The aged epidermis shows impaired barrier function, thinner stratum corneum, atrophic basal membrane zone, and flattened dermoâepidermal junction, which are all related with the declining of EpSCs function. The selfârenewal capacity of aged EpSCs decreases, and thus the aged keratinocytes perform worse in adhesion, migration, and proliferation, which causes an increasing dermoâepidermal separation, further leading to a poor supply of nutrients for epidermis. Microscopically, fragmented nucleoli, swollen mitochondria, and fragmented endoplasmic reticulum are shown in the aged EpSCs.
3. Epigenetic Mechanisms of EpSCs in Skin Aging
3.1. Epigenetic Dysregulation and Gene Level Changes
There is ample evidence that epigenetic mechanisms contribute significantly to skin aging because of their sensitivity to lifestyle and environmental factor [53, 54]. Epigenetic mechanisms include histone modifications DNAm and changes in chromatin structure. Endogenous and exogenous factors collectively drive diverse epigenetic manifestations of senescent phenotypes at the cellular level during skin aging.
During senescence, the level of histone H4 on arginine 3 (H4R3me2as) demethylation diminished. Because protein arginine methyltransferase 1 (PRMT1)âmediated asymmetric demethylation of H4R3me2as preserves the stability of H4, the reduction of H4R3me2as level in turn leads to the strengthened interaction between proteasome activator PA200 and histone H4, which ultimately catalyzes the polyubiquitinâindependent degradation of histone H4 [55]. Histones are involved in transcriptional regulation, DNA repair, DNA replication, and chromosome stability, and are a core component of nucleosomes. Thus, posttranslational modifications of histones and alterations in DNAm result in the widespread loss of heterochromatin and focal gains of heterochromatin during skin senescence [56, 57].
Meanwhile, DNAm is catalyzed by a conserved family of enzymes known as DNA methyltransferases (DNMTs), which cooperatively establish and maintain DNAm patterns during embryonic development and tissue homeostasis [58]. Among these, DNMT1 plays a pivotal role in preserving methylation patterns during cellular replication by copying methylation marks from the parental (methylated) DNA strand to the newly synthesized daughter strand [59, 60]. DNMT1 maintains a methylation state by adding methyl radicals to cytosine C5 and the 5âmethylcytosine (5âmC) DNAm is one of the key mechanisms of epigenetics [61]. Notably, in skin epithelial cells, DNMT1 expression exhibits an ageâdependent decline, suggesting its potential contribution to epigenetic dysregulation in aging skin [62]. Beyond DNMTs, the methylcytosine dioxygenase TET3 also plays a critical role in aging through epigenetic regulation [63]. TET3 mediates active DNA demethylation by oxidizing 5âmC, establishing and maintaining hypomethylated states at critical genomic regulatory regions [64].
UV radiation is a major driver of extrinsic aging, which causes epigenetic changes such as hypermethylation of tumor suppressor genes and hypomethylation of oncogenes [65]. Notably, UV exposure triggers global DNA hypomethylation in epidermal keratinocytes, indicative of genomeâwide epigenetic instability [64]. Furthermore, UV radiation modulates epigenetic regulation by altering the expression of key genomic regulators, including DNMT1. In UVâirradiated human skin, upregulation of DNMT1 may drive TIMP2 promoter hypermethylation, leading to transcriptional silencing of TIMP2 [66]. In addition, poor nutrition, smoking, stress, and lack of sleep exacerbate skin aging by impairing skin repair (Figure 2).

Multiscale epigenetic dysregulation in aging EpSCs. Aged EpSCs initiate a selfâperpetuating aging cycle characterized by epigenetic dysregulation, including DNMT1 suppressionâmediated global hypomethylation, SOX5 downregulation, and nonâubiquitinated H4 degradation, coupled with HMGB1 translocation. These alterations trigger chronic inflammation, which in turn suppresses Hippo and JAKâSTAT signaling and promotes a SASPâdriven ECM degradation feedback loop, collectively arising a cascade decline of epidermal function and even the whole skin.
3.2. Gene and Transcriptional Level Changes
Through epigenetic modifications such as methylation, phosphorylation, and changes in histones, the gene and transcription level also change accordingly during skin aging.
Concerning the regulation of phosphorylation states, the cellular senescence is marked by the upregulation of cyclinâdependent kinases (CDK) inhibitors p21CIPI and P16INK4A (also known as CDKN1A and CDKN2A) [67], leading to the persistent hypoâphosphorylation of RB family proteins, suppression of E2F transcription factor activity, reduced expression of the proliferation marker MKI67 [68], and subsequently cell cycle arrest in the G1 and S phase [69]. Additionally, epigenetic regulation through Sprouty1 (SPRY1) methylation contributes to the natural senescence of skin epidermal cells which are composed of ~95% of keratinocytes [64]. In the immortalized human keratinocyte cell line HaCaT and SPRY1 expression exhibited an ageâdependent increase [62].
In terms of EpSCs, a recent bioinformatics analysis study based on the analysis of the GEO database found the expressions of proâinflammatory genes IRF4 and Cxcl12 are upregulated in aging EpSCs, while Peg3 and Cybrd1 are downâregulated [70]. The changes in these genes may be related to epigenetic regulation. The expression of the cell cycle inhibitor P16INK4A is directly related to chronological aging of the skin in vivo. It has been shown that the number of cell cycle inhibitor P16INK4A proteinâpositive cells increases with aging in the epidermis, which may be related to epigenetic changes [71 â73]. Notably, senescenceâassociated ÎČâgalactosidase (SAâÎČâgal) activity is significantly upregulated during this process [74]. High mobility group box 1 (HMGB1), a member of the high mobility group protein family known for its role in modulating chromatin architecture and gene expression, is released from the nucleus into the extracellular environment during cellular senescence [75].
In addition, research findings have demonstrated that the level of SOX5 declines in a range of senescent cells and tissues [76]. Moreover, in recent years, it has been found that overexpression of transcription factor SOX5 is sufficient to trigger epigenetic and transcriptional remodeling, leading to the activation of genes such as high mobility group box 2 (HMGB2) and thus alleviating cellular senescence [76].
3.3. Altered Cell Structure
Epigenetic changes affect cell morphology through genes expression and transcription. Senescent EpSCs display enhanced degradation of the nuclear fiber layer and nuclear structural abnormalities. These include an enlarged nuclear size, loosened nuclear membranes, chromatin relaxation, decreased levels of Lamin B1 and Laminâassociated peptide 2 (LAP2), and defects in most of the organelles such as lysosomes, ER, and mitochondria [67]. As a very important heterogeneous organelle for energy metabolism in the human body [77], mitochondria have attracted much attention for their relevance to stem cell senescence. Although inconsistent changes in different models, it has been shown that mitochondrial complex abnormalities lead to elevated intracellular mitochondrial NADH levels and ROS levels [78 â81].
3.4. Cytokines and Pathways in Metabolism
Under the influence of epigenetics, EpSCs will ultimately affect cytokine release and pathway regulation through the above mechanisms. The aging EpSCs secrete a plethora of chemokines, cytokines, growth factors and proteases including ILâ1α, ILâ1ÎČ, ILâ6, CXCL8, CXCL10, MMP3, MMP9, and MMP1, referred to as the senescenceâassociated secretory phenotype (SASP) [82]. ILâ1α can elevate the expression levels of TNFâα, ILâ8, ILâ12, MMPâ2, MMPâ9 and ILâ1R1, as well as the ROS level [83]. In addition, aging is also marked by diminished expression of cell adhesion and ECM genes in EpSCs, notably changes in collagen type XVII α 1 (COL17A1) [84]. It has been confirmed that COL17A1 is specifically expressed in interfollicular EpSC niches and significantly reduced in naturally aged human skin in vivo [85]. As a binding partner of the aPKCâPAR complex, COL17, has been implicated in altering cell polarity and aging of the epidermis (Table 1) [88].
| Marker | Variation | Regulation on EpSCs | Mechanism |
|---|---|---|---|
| Wnt5a [] [51] | âUpregulated | Inhibits stemness Loss of polarity | âActivates noncanonical Wnt/PCP pathwayâAntagonizes canonical Wnt/âcatenin signalingÎČâReduced EpSCs selfârenewal |
| IGFBP3 [] [86] | âUpregulated | Induces senescence Inhibits proliferation | âBinds and sequesters (IGFâ1/IGFâ2) âInhibits IGFâ1R signaling pathway âInduces EpSCs cell cycle arrest |
| ILâ1[] ÎČ [86] | âUpregulated | Proâinflammatory Induces senescence | âActivates the NFâkappaB pathway âInduces senescence and a SASP feedback loop |
| MMPâ3 [] [87] | âUpregulated | Loss of anchorage | âSecreted SASP enzyme âDegrades ECM âDisrupts basement membrane integrity and EpSCs anchorage |
| IGFBPâ7 [] [87] | âDownregulated | Induces senescence Growth arrest | âBinds cell surface receptors âActivates p53/p21 pathway âInduces potent cell cycle arrest |
| ILâ6 [] [87] | âUpregulated | Maintains senescence Inhibits differentiation | âActivates the JAK/STAT3 signaling pathway âPersistent STAT3 activation maintains senescence and inhibits EpSCs differentiation |
| ILâ1[] α [40] | âUpregulated | Directly inhibits stem cell clonogenic ability | âReleased as an alarmin âActivates the NFâkappaB pathway âInitiates the SASP cascade |
4. Evaluation of Skin Aging With Epigenetic Mechanisms
4.1. Current Advances in Epigenetic Clocks for Skin Aging Assessment
Epigenetic mechanisms are recognized as highly promising approaches for assessing skin aging. Among them, DNAm is a wellâstudied epigenetic modification with ageârelated patterns of change that can be used as a surrogate indicator of biological aging in various tissues. The commonly used DNAmâbased age estimator is called the DNAm clock. In human tissues, epigenetic biomarkers, or biological "clocks" have been developed to reliably track actual age [89]. Epigenetic factors heavily influence aging process. Heritable changes in gene expression do not alter the underlying DNA sequence [6]. This revelation has sparked the introduction of epigenetic clocks as biomarkers of biological aging [10, 54]. The estimate of DNAm age (DNAmAge), also known as the epigenetic clock, is considered one of the most promising indices accurately measuring one's biological age [90, 91].
4.2. Evaluation of Epigenetic Clocks in Skin Aging
Horvath's clock is one of the most popular epigenetic clocks. It determines biological age in a variety of tissues, including skin, by measuring methylation at the CpG (cytosineâphosphateâguanine) sites in the human genome [7]. It has been supported by data from the field of aging [10, 92]. When it came to predicting skin age, the first generation of Horvath's clocks applied to panâtissues had certain limitations. A novel DNAmâbased biomarker (based on 391 CpGs) was presented using the secondâgeneration Horvath's clock. It was created to precisely determine the age of human fibroblasts, keratinocytes, buccal cells, endothelium cells, skin, and blood samples, which were cultivated ex vivo. The dynamic aging of these cells was properly followed by this extremely sensitive age estimator, which also showed that a constant increase in epigenetic age coincides with cell proliferation. Its use on fibroblasts from Hutchinson Gilford Progeria Syndrome patients is an example [93]. The above epigenetic clock uses a wide range of CpG sites, which is insufficiently targeted at skin cells, which may be the reason for its limitations in predicting skin age.
Therefore, to assess skin aging more accurately, incorporating additional skin cellâspecific methylation sites may be desirable. For instance, the EpSCs mentioned in this study could serve as an excellent sample source. A research team has successfully created VisAgeX, a skinâspecific epigenetic aging clock capable of detecting variations in facial visual aging patterns. Their findings show that DNAm profiles from epidermal samples can effectively predict wrinkle severity, perceived facial age, and visual aging progression [6]. These studies comprehensively illustrate how ageârelated changes in DNAm might connect environmental exposures to biological skin aging. We compared the advantages and disadvantages of the updated epigenetic clocks and highlighted the significance of the specialized skin epigenetic clock (Table 2).
| Epigenetic clock | Horvath clock [] [7] | Skin and blood clock [] [93] | VisAgeX clock [] [6] |
|---|---|---|---|
| Markers | 353 CpGs (selected via elastic net regression) | 391 CpGs (selected via elastic net regression) | Lowâmethylated regions (LMRs) |
| Marker sourcea | Panâtissue (applicable to most tissues except sperm) | Skin, blood, and related cell types (fibroblasts, keratinocytes, endothelial cells, saliva, and buccal cells) | Skinâspecific LMRs (tissueâspecific regulatory regions) |
| Applicable samplesb | Multiple tissues (blood, brain, liver, and heart); poorly calibrated in fibroblasts and breast tissue | Fibroblasts, keratinocytes, blood, saliva, buccal cells, neurons, glia, liver, bone, and ex vivo cultured cells | Skin tissue (epidermal samples from volar forearm) |
| Applications | General biological age estimation across tissues | Monitoring skin aging phenotypes (wrinkles) and antiaging interventions | Assessing visual skin age progression, UV/pollution effects, and personalized aging studies |
| Age prediction features | Predicts chronological age; measures cumulative epigenetic maintenance; logarithmic ticking rate during development, linear in adulthood | Predicts chronological and biological age; detects subtle age acceleration; more accurate in predicting isolated cells | Directly predicts visual age progression (deviation from chronological age) |
| Skinâspecific validation (accuracy) | Limited skin specificity: not optimized for skin aging Accuracy: high correlation with chronological age | Skinâfocused: validated on epidermal samplesAccuracy: visual facial age, MAE = 6.54 years (visual facial age); = 0.84 (test set)R | Skinâspecific and dynamic: directly predicts visual age progression (deviation from chronological age)Accuracy: age progressio, MAE = 4.67â6.17 years (age progression); = 0.48; < 0.001, superior to traditional CpG modelsRp |
4.3. Other Epigenetic Biomarkers of Cellular Aging
Based on the miRNA expression patterns of healthy individuals, a study developed an epigenetic molecular clock using machineâlearning algorithms. The models used 1856 distinct miRNAs to predict age with a mean absolute error of 10.89 years and 80% accuracy in identifying age groups. According to the findings, miRNAâbased epigenetic clocks are noticeable in the outer layers of the skin and correspond similarly to mRNA or DNAm, but they are more stable than mRNA [94].
5. The Treatment of Skin Aging Related to EpSCs
5.1. Direct Regulation of Epigenetic Targets
We systematically reviewed therapeutic strategies that directly modulate epigenetic mechanisms in EpSCs. Emerging evidence indicates that certain pharmacological agents and bioactive compounds can benefit cutaneous antiaging and facial rejuvenation by targeting molecular mechanisms in EpSCs. Notably, retinoids modulate DNAm patterns to reverse ageâassociated epigenetic alterations, demonstrating their capacity to reset epigenetic clocks and promote cutaneous rejuvenation [54]. In addition, some active skincare ingredients such as dihydromyricetin (DHM), curcumin, and genistein, have gained attention for their ability to inhibit DNMT1 [60, 95, 96]. It has been proven experimentally DHM showed robust inhibition of DNMT1 in biochemical assays [60]. And ectoine downregulates DNMTs (DNMT1, DNMT3a and DNMT3L), thereby reducing global DNAm and reactivating tumorâsuppressor genes. This mechanism suggests its potential as an antiaging agent [97].
5.2. Indirect Regulation of Epigenetic Targets
In addition to sites that directly regulate epigenetics, we also have systematically summarized treatment strategies aimed at altering downstream pathways of epigenetic regulation.
Apremilast, a small molecular inhibitor of phosphodiesterase 4 (PDE4), protected EpSCs against ILâ1αâinduced impairment in capacities of EpSCs, which can offer the opportunity for cutaneous antiaging [83]. Activated Myd88/TRAF6/NFâÎșB signaling pathway induced by stimulation with ILâ1α was significantly inhibited by the introduction of Apremilast [83]. And biofermented Aframomum angustifolium (BAA) extract contained specific organic acids such as lactic, gluconic, succinic acid, and polyphenols. Treating keratinocyte stem cells (KSCs)âdepleted skin equivalents with it exhibited higher mitotic activity in the epidermis basal layer including EpSCs [98].
Injectable skin fillers offer a wider range of options for delaying skin aging. The positive effects of PLLA microspheres which are increasingly favored as degradable and longâlasting fillers on EpSCs have been shown on rat epidermis and EpSCs [99].
In terms of regulating gene expression, Amniotic membrane (AM) effectively reduces TGFâinduced phosphorylation of Smad2 and Smad3 in keratinocytes, thereby modulating the expression of cell cycle regulators CDK1A (p21) and CDK2B (p15). Given that these cell cycle factors (p21/p15) are crucial mediators of cellular senescence, their altered expression due to the interference of AM with the TGFâÎČ pathway suggests that AM may hold potential for preventing skin aging by delaying cellular senescence and promoting tissue repair [100]. In lipidâdeficient skin under oxidative stress, woundâedge keratinocytes exhibit elevated p21CIP expression, which impedes wound healing when overexpressed. Conversely, suppression of p21CIP enhances keratinocyte proliferation and barrier repair, suggesting that smallâmolecule p21CIP inhibitorsâsimilar to those used in chemotherapyâresistant kidney carcinomaâcould promote tissue regeneration [101]. Additionally, thyroxine (T4) treatment in organâcultured human skin downregulates agingârelated biomarkers, including P16INK4A transcription [102], further supporting its potential role in mitigating ageâimpaired repair mechanisms.
Triiodothyronine (T3) was discovered to dramatically increase sirt1 transcription in the human epidermis, a factor linked to genomic stability, in organâcultured human skin. Although proliferatorâactivated receptorâÎł 1âα (PGC1α) protein expression only demonstrated a nonsignificant rising trend, T3 also raised PGC1α mRNA levels. These modifications imply that T3 might affect the epigenetic modulators of mitochondrial activity [102].
6. Conclusion and Perspectives
EpSCs play a vital role in skin homeostasis and regeneration, but their quantity and functionality diminish with age, driving skin aging. Epigenetic mechanisms such as DNAm, histone modifications, and noncoding RNAs regulate EpSCs behavior. Aging disrupts these processes, impairing stem cell performance and resulting in visible signs of aging like wrinkles and reduced elasticity. Recent studies highlight promising therapeutic avenues targeting epigenetic changes. Epigenetic clocks, such as Horvath's, serve as accurate biomarkers to measure the biological age of skin cells. Pharmacological options, including retinoids and DNMT1 inhibitors, show potential in counteracting ageârelated epigenetic shifts. Meanwhile, regenerative strategies, such as adiposeâderived stem cell exosomes and iPSCâderived micro vesicles, enhance skin structure and function and offer antiaging benefits.
Despite these advances, several challenges remain. Precision in epigenetic modulation is crucial, as nonspecific interventions may cause unintended effects. Effective delivery methods are needed to accurately target EpSCs, and clinical trials must confirm safety and efficacy across diverse groups. Future research should pinpoint specific epigenetic targetsâlike critical methylation sites or histone marksâunique to EpSCs aging for personalized therapies. Innovations in delivery systems, such as nanoparticle carriers, could improve treatment accuracy. Combining stem cell therapies with epigenetic modulators may amplify these results. Longitudinal studies will be key to ensuring longâterm safety and refining protocols.
In conclusion, unraveling the epigenetic control of EpSCs opens exciting possibilities for combating skin aging. Current therapeutic strategies, including biomarkers, pharmacological interventions, and regenerative medicine approaches, demonstrate considerable potential. Critical challenges remain in achieving target specificity, optimizing delivery mechanisms, and establishing robust clinical validation. As this field progresses, it could revolutionize dermatological care, delivering effective, accessible solutions to enhance skin health and resilience.
Disclosure
All authors read and approved the final version of the work to be published.
Conflicts of Interest
The authors declare no conflicts of interest.
Author Contributions
All authors contributed to researching the data for the article and writing the article. Jiayu Yang, Mohan Xu, and Yiheng Duan drafted the main text and tables. Yuhang Yuan and Jiaming Zhang made the figures. Wenqing Jiang supervised the work and provided the comments and additional scientific information. Jiayu Yang, Mohan Xu, and Yiheng Duan also reviewed and revised the text. Jiayu Yang and Mohan Xu contributed equally to this work and should be considered coâfirst authors.
Funding
This work was supported by the National Nature Science Foundation of China (Grant 82202474) and Science and Technology Projects in Guangzhou (Grant 2023A04J2350).