Abstract
Mechanotransduction regulates cytoskeletal remodeling, nuclear mechanics, and metabolic adaptation, which are central to cellular aging and rejuvenation. These responses restore mechanical balance in aged cells, reprogram longevity-related gene expression, and alleviate age-related disorders, including neurodegeneration, musculoskeletal decline, and cardiovascular dysfunction. These insights indicate that mechanotransduction is pivotal in cellular and systemic processes underlying aging. The key signaling pathways, including the Hippo/Yes-associated protein (YAP), mechanistic target of rapamycin (mTOR), and transforming growth factor-beta (TGF-β)/Smad, have been explored in mediating age-related physiological decline, showing potential as therapeutic targets. Aging-dependent stiffening of the extracellular matrix (ECM) is associated with accelerated senescence. Interventions targeting ECM remodeling, such as mechanochemical therapies and nanoparticle delivery systems, provide promising strategies for counteracting cellular deterioration. Research progress has elucidated the critical role of mechanotransduction in organ-specific aging, enabling targeted interventions that align mechanical and biochemical therapeutic strategies. This review highlights the integration of mechanical modulation into therapeutic approaches, emphasizing its potential to restore cellular functionality, improve health, and extend lifespan. Advances in mechanomedicine have opened innovative frontiers in combating aging and age-associated diseases by addressing the interplay between mechanical forces and cellular processes. Cellular rejuvenation—the restoration of aged cells to a functionally younger state through the regulation of mechanotransduction pathways—involves the reversal of senescence-associated phenotypes, including nuclear deformation, mitochondrial alterations, and ECM stiffness. Furthermore, mechanotransduction plays a critical role in cellular rejuvenation by modulating YAP/TAZ activity, promoting autophagy, and maintaining cytoskeletal integrity.
I. INTRODUCTION
Aging is a complex biological process in living organisms and is regulated not only by genetic and biochemical factors but also by mechanical cues that influence cellular function and longevity.1,2 Mechanical signals, including ECM stiffness, cytoskeletal tension, and nuclear deformation, modulate transcriptional responses, epigenetic remodeling, and mitochondrial homeostasis, thereby contributing to cellular senescence and rejuvenation. Mechanotransduction is a fundamental process through which mechanical stimuli, such as the ECM stiffness and cytoskeletal forces, are converted into biochemical signals that regulate cellular aging.3,4 Unlike purely biochemical aging mechanisms, mechanotransduction influences cellular senescence through force-dependent changes in nuclear architecture, mitochondrial function, and chromatin organization.5 Understanding the mechanical regulation of aging is essential for developing mechanomedicine-based interventions.6 Mechanotransduction plays a key role in this process by transmitting mechanical forces from the ECM to the nucleus through cytoskeletal linkages, activating signaling pathways such as Hippo/YAP, TGF β/Smad, and mTOR, which govern cellular responses to mechanical stimuli.7
Cellular rejuvenation relies not only on pharmacological interventions but also on mechanotransduction-based strategies aimed at restoring cellular homeostasis by modulating mechanical forces at the subcellular level.8 Mechanically induced nuclear deformation, cytoskeletal realignment, and ECM remodeling play critical roles in reversing age-associated cellular dysfunctions as well as disease progression. Furthermore, force-mediated nuclear remodeling directly affects chromatin compaction and gene expression, which promote regenerative transcriptional programs and delay the onset of senescence.9
For instance, controlled mechanical stimulation has been shown to enhance mitochondrial biogenesis, reduce oxidative stress, and reprogram chromatin organization, thereby improving the regenerative potential of aged cells.10 Biophysical interventions such as tuning the substrate stiffness and cyclic stretching can restore stem cell function and delay cellular senescence.10
Aging is broadly characterized by a gradual decline in functional capacity and homeostasis, accompanied by increased vulnerability to diseases. A representative example of normal aging that progresses gradually in the absence of disease is the change in cell motility.11 As biological age increases, cell motility decreases due to fractional redistribution in the motile state.12 Examining similarities in the movement of skin fibroblasts has revealed that cells from younger individuals tended to move in a specific direction, whereas those from aging individuals exhibited limited directional movement and heterogeneity in their motility.12
Typical age-related diseases include high blood pressure and atherosclerosis, which can lead to various cardiovascular diseases and ultimately result in death.13 Aging can be explained by the distinction between pathological and normal aging. For instance, age-associated memory impairments, such as mild cognitive impairment, are classified as normal aging conditions, whereas dementia is classified as pathological aging.14 Mild cognitive impairment occasionally involves forgetting words, names of objects, or conversations from at least 1 year ago, whereas Alzheimer's disease (AD) involves forgetting or failing to recognize family members and an inability to remember recent conversations.14
ECM stiffening, a hallmark of tissue aging, disrupts cellular mechanotransduction and alters the mechanical properties of the microenvironment, thereby exacerbating age-related pathologies by changing cellular responses to mechanical stimuli.15 For instance, age-related stiffening of vascular tissues impairs endothelial cell mechanotransduction, leading to reduced nitric oxide bioavailability and increased vascular resistance.16 With aging, musculoskeletal tissues in muscles, tendons, and joints undergo structural changes; e.g., collagen becomes more tightly cross-linked, and the amount of proteoglycans decreases. These changes increase the tissue stiffness but reduce elasticity, resulting in cellular aging.17 These systemic alterations provide a mechanobiological basis for cellular aging, influencing intracellular signaling cascades and stress responses.3
Cellular aging is intricately linked to mechanical changes in the microenvironment, such as ECM stiffening. These changes exacerbate age-related pathologies by altering the cellular responses to mechanical stimuli.18 This response pathway transmits signals from outside of the cell to the cytoplasm and nucleus19 via LINC complexes and nuclear lamin proteins, which transmit cytoplasmic signals to the interior of the nucleus.5,20 The process of recognizing mechanical stimuli in an external environment is termed mechanosensation,21 where integrins, actin cytoskeletal networks, and piezo channels play critical roles.22–24 Moreover, mechanotransduction is a fundamental regulator of aging, regulating multiple cellular functions such as ECM stiffness, cytoskeletal tension, and nuclear deformation.25 These mechanical cues activate intracellular signaling pathways such as Hippo/YAP, TGF β/Smad, and mTOR, coordinating cell fate decisions, proliferation, and differentiation,3,26 ultimately shaping the aging process through subcellular mechanotransduction.
Nuclear mechanotransduction is critical in cellular aging by altering chromatin organization and DNA repair capacity.27 Age-related changes in nuclear lamina composition impair DNA damage responses (DDRs), leading to genomic instability and increased cellular stress.5 Mechanical modulation strategies, such as those based on controlling substrate stiffness and cyclic stretching, have demonstrated efficacy in restoring mechanotransduction balance, thereby mitigating aging-associated dysfunctions.1 Mechanical signals affect mitochondrial function and reactive oxygen species (ROS) production.28,29 The signal generated by the interaction between the ECM and integrin induces ROS production through the Ras homolog (Rho) family of guanosine triphosphatases (GTPase).30–33 In addition, the elasticity and stiffness of the ECM change the shape and differentiation of cells, accelerating or delaying aging.1,15,17,34
This review explores the mechanobiological perspectives on cellular aging and recent advances in mechanomedicine contributing to cellular rejuvenation and further discusses the mechano-modulation of age-associated therapeutic challenges.
II. THE BIOLOGY OF AGING: CELLULAR AND SYSTEMIC PERSPECTIVES
A. Aging at the systemic level
Aging is a systemic process driven by progressive alterations in tissue architecture, mechanical homeostasis, and cellular metabolism. At the organ level, aging is characterized by ECM remodeling, increased fibrosis, and impaired intercellular communication, all of which contribute to functional decline.35 Age-related stiffening of vascular tissues impairs endothelial cell mechanotransduction, which leads to reduced nitric oxide bioavailability and increased vascular resistance.36 Degenerative changes in musculoskeletal tissues, such as increased collagen cross-linking and loss of proteoglycan content, exacerbation of stiffness, and impaired tissue elasticity.37 These systemic alterations provide a mechanobiological basis for cellular aging, influencing intracellular signaling cascades and stress responses.38
Aging is a progressive process that affects tissue structure, function, and homeostasis through multiple interconnected mechanisms.39 A primary driver of aging is oxidative stress, which results from an imbalance between ROS production and antioxidant defenses.40 Excessive ROS generation damages cellular components, including DNA, proteins, and lipids, leading to impaired cellular function and senescence.28 Accumulated oxidative damage contributes to mitochondrial alterations, reduced ATP production, and altered metabolic homeostasis, all of which are critical factors in aging-related tissue degeneration.41
Another key contributor to aging is telomere shortening, which occurs due to the progressive loss of chromosomal end regions during cell division. Critically short telomeres trigger DDRs, leading to cell cycle arrest, senescence, or apoptosis.42 This process depletes the regenerative capacity of stem cell populations, reducing tissue maintenance and repair potential.42 Simultaneously, the ECM remodeling and increased fibrosis further disrupt tissue integrity, exacerbating organ dysfunction.43
As a result of these interconnected mechanisms, aging impairs the function and homeostasis of tissues and organs, depletes the number of functional cells, and alters their structural properties.44 These systemic changes contribute to increased susceptibility to age-related diseases, including neurodegeneration, cardiovascular disorders, and metabolic dysfunction.2
This can result in severe metabolic dysfunction and tissue atrophy. A comparative analysis of metabolic products in the brain, heart, kidneys, liver, lungs, and spleen of younger and aging rats revealed that the concentrations of branched-chain amino acids and gamma aminobutyric acid were increased in aging rats, while their uridine levels were decreased.45 Branched-chain amino acids are known to increase the risk of cardiovascular diseases, and gamma aminobutyric acid can impair cardiac function.46,47 Reduced uridine levels promote cellular senescence in various tissues, including the spleen and mammary glands.48 In brief, aged cells are in a state of hypermetabolism and the resulting increases or decreases in metabolic products can impair the functions of various tissues and organs. Primary mitochondrial oxidative phosphorylation also causes hypermetabolism and accelerates aging.49
A notable example of aging is inflammaging, a chronic low-grade inflammation that occurs as people age.50 Although inflammation generally provides strong resistance to infectious diseases and aids survival during childhood, it often has detrimental effects in aging populations.51 Inflammaging is associated with the accumulation of tissue damage, organ damage, and functional dysregulation.52 Inflammaging is primarily induced by inflammatory cytokines secreted by aged cells. This process activates the nuclear factor-κB (NF-κB) transcription factor and increases the production of ILs and interferons, thereby impairing the immune system.50,53 Excessive ROS accumulation in the mitochondria induces the activation of nucleotide-binding domain, leucine-rich repeat, and pyrin domain-containing protein 3 (NLRP3) activations, thereby promoting the secretion of caspase 1 (CASP1)-dependent interleukin (IL)-1β.54–56 NLRP3 is the primary sensor of intracellular danger-associated molecular patterns (DAMPs), as it activates the inflammasome upon recognizing DAMPs.57 Inflammatory CASP1 matures and promotes the secretion of the precursors of IL-1β and IL-18.50 This process contributes to atherosclerosis, type 2 diabetes, and AD pathogeneses.50,58,59
Adipose tissue is the most affected by aging.60 As adipose tissue ages, the amount of stored fat increases and then decreases sharply, with a decrease in subcutaneous fat and an increase in visceral fat.61,62 This shift increases the risk of metabolic abnormalities and insulin resistance.62,63 Furthermore, these changes are attributed to a decline in stem cell function and accumulation of senescent cells.64,65
B. Causes of cellular senescence
Critical factors that induce cellular senescence include ROS, DNA damage, lack of NAD+, and ECM metabolism.66 ROS accumulation-mediated cellular senescence has been induced by knocking down nuclear factor erythroid 2 (NRF2), a major transcription factor that regulates the antioxidant response and protects cells from oxidative stress.67 ROS trigger a senescence-associated secretory phenotype (SASP), driving the secretion of inflammatory cytokines and growth factors.28 This process induces chronic inflammation in surrounding cells, creating a microenvironment conducive to cancer development.68,69 Mitochondrial dysfunction is tightly regulated by mechanical forces.70 Increased ECM stiffness and disruption of cytoskeletal organization can impair mitochondrial dynamics, leading to altered bioenergetics, ROS overproduction, and premature cellular senescence.71 Restoring mechanotransduction homeostasis enhances mitochondrial function and delays age-associated metabolic decline.72 In aged tissues, mitochondrial impairment disrupts ATP production, increases cellular rigidity, and enhances ECM degradation.70 This metabolic dysfunction propagates aging-associated tissue degeneration, particularly in energy-demanding organs such as the brain and cardiovascular system.73 In aging cells, mitochondrial dysfunction increases ROS leakage from the electron transport chain, which overwhelms antioxidant defenses.53 This imbalance causes oxidative damage to mitochondrial DNA, lipids, and proteins, further deteriorating mitochondrial function.74
Mechanical cues directly influence cellular aging by modulating nuclear stiffness, DDR pathways, and mitochondrial homeostasis.75 ECM stiffening alters nuclear lamina composition, leading to impaired DNA repair and increased telomere attrition. This mechanotransduction-driven telomere dysfunction accelerates cellular senescence independently of classical oxidative stress pathways.76
Telomere shortening causes DNA damage. Telomerase expression in immortalized human fibroblasts reduced progerin mRNA expression by 3- to 10-fold compared to that in wild-type cells.77 Telomere dysfunction induces the alternative splicing of cytoskeleton-related genes, leading to cytoskeletal reorganization during cellular aging.77 NAD+ is an essential coenzyme for cellular energy metabolism and DNA repair, regulating the activity of NAD+-dependent deacetylases such as sirtuin1.78,79 When NAD+ levels decline, sirtuin1 activity decreases, leading to senescence through the p53 and p16INK4a pathways.80 Sirtuin1 activates the transcription factor EB through the sirtuin1 mTOR pathway.81 EB increases autophagy, leading to the removal of aging-induced dysfunctional organelles and the generation of new organelles.82 NAD+ deficiency results in poly-adenosine diphosphate ribose polymerase-1 overactivation, accelerates NAD+ depletion, and impairs the DNA repair capacity.12 Reduced NAD+ levels also impair mitochondrial function, increase ROS production, and induce cellular senescence through oxidative stress.80
Degradation and remodeling of ECM components such as collagen, elastin, and proteoglycans are essential for maintaining cellular function and tissue structure. However, aging disrupts ECM homeostasis, leading to altered mechanotransduction signaling and cellular dysfunction.3 Age-related ECM stiffening activates integrin-mediated focal adhesion kinase signaling, which in turn promotes actomyosin contractility and nuclear deformation, accelerating cellular senescence.83 Increased ECM cross-linking also enhances TGF-β signaling, which drives fibrosis and inflammation, further contributing to age-associated tissue degeneration.84 ECM degradation is primarily regulated by matrix metalloproteinases (MMPs); their overactivation compromises the structural integrity of the ECM, leading to cellular senescence.85 Alterations in the ECM activate intracellular signaling pathways through receptors such as integrins on the cell surface, while also induces senescence.85 The integrin α6β4 Src protein kinase B (AKT) signaling pathway plays a role in inhibiting apoptosis and induces cellular senescence in irradiated tumor cells.86 This pathway activates AKT, which increases the expression of anti-apoptotic proteins and suppresses pro-apoptotic protein activity.86 Cells enter the senescence pathway as a survival mechanism despite unrepaired DNA damage. This process can alter the tumor microenvironment and potentially increase therapeutic resistance.86 Moreover, reduced expression of yes-associated protein/transcriptional coactivator with PDZ binding motif (YAP/TAZ) leads to mechanotransduction and promotes cellular aging.87,88 The decreased activity compromises the integrity of the nuclear envelope, leading to DNA leakage into the cytoplasm.89 Activated stimulation of the interferon gene increases inflammatory cytokine expression, driving chronic inflammation and cellular aging.90
C. Cellular aging and senescence
Organisms undergo epigenetic alterations during normal aging. NAD-dependent deacetylase contributes to healthy aging by regulating genome stability by deacetylating mitochondrial proteins and histone H3K9.2,91,92 Since aging is associated with chromatin remodeling, such as a reduction in the share of heterochromatin across overall chromatin,93 transcriptional noise also increases, leading to abnormal production and maturation of noncoding RNAs, such as microRNAs (miRNAs), which impede smooth regulation of stem cell behavior.94 Consequently, aging leads to stem cell depletion and alterations in intercellular signaling.2,95–97 A decrease in the number of hematopoietic stem cells reduces immune cell production, whereas a shortage of muscle stem cells results in fewer muscle fibers.98,99 These conditions can lead to immunosenescence and sarcopenia, respectively.98
Senescence is a state of cell cycle arrest that can induce inflammation in surrounding tissues and potentially contribute to oncogenesis. One hallmark of cellular senescence is the increased activity of senescence-associated β-galactosidase (SA-β-gal).100,101 Increased SA-β-gal expression is a representative biomarker for cellular senescence.100 The importance of a lamin-based detection method is emphasized as an alternative biomarker for SA-β-gal. Lamin B1 is a critical biomarker for identifying senescent cells. Lamin B1 is an inner nuclear membrane protein that adheres heterochromatin to the inner nuclear membrane by recognizing and binding to the lamina-associated heterochromatin domain.102 Reduced lamin B1 levels indicate that the composition or shape of the nuclear membrane is significantly altered as the cell enters senescence because it is connected to the cytoskeleton through the nuclear membrane103 (Table I).
TABLE I.
Age-dependent variations in cellular responses compared between young and senescent cells relative to baseline parameters.
| Aging marker | Young cells | Senescent cells | References |
|---|---|---|---|
| Single-cell motility | Fast | Slow | 2, 12, 93, 99 |
| Single-cell morphology | Elongated | Round, large | 12, 322 |
| Single-cell division | Active division | Senescence | 2, 323 |
| Adipose tissue | Stable amount of stored fat | Sharply fluctuated amount of stored fat | 60, 61 |
| Skin elasticity | High elasticity | Low elasticity | 324, 325 |
| Epigenetic alterations | Less change | More change | 93 |
| β-galactosidase | Low expression | High expression | 100 |
| P-series proteins (p53, p21, and p16) | Low | High | 108, 326 |
| Senescence-associated secretory phenotype (SASP) secretome | No SASP secretion | SASP secretion | 2, 110, 327 |
| Lamin B1 | High lamin B1 | Low lamin B1 | 328 |
| Reactive oxygen species | Low oxidative stress | High oxidative stress | 324, 329 |
| Telomere | Long telomere | Short telomere | 323, 330–332 |
| NAD+ | High NAD+ | Low NAD+ | 63, 89 |
| Stem cell depletion | Abundant stem cell | Stem cell shortage | 98, 99 |
| Extracellular matrix (ECM) | Dense ECM | Loose ECM | 85, 86 |
| Cell metabolism | Normal metabolism | Hypermetabolism | 12 |
| Inflammation | Normal inflammation | Inflammaging | 50, 98 |
Increased P-series protein expression is another characteristic of senescence. DNA damage caused by 8-oxoguanine, which is induced by ROS or telomere shortening, increases p53 expression, which may lead to apoptosis or senescence.104–107 ROS impair mitochondrial activity and increase ROS production, which exacerbates oxidative stress and accelerates senescence.41 p21 is frequently used as a marker for DNA damage-induced senescence because it plays a crucial role in maintaining the viability of DNA damage-induced senescence cells.108 P21 is a representative cyclin-dependent kinase inhibitor that forms a complex with cyclin-dependent kinase and causes cell cycle arrest.109 This finding can be attributed to the increased DNA damage during mitosis in the absence of p21, which leads to a strong DDR that induces cell death through caspases and c-Jun N-terminal kinase.108 The SASP secretome is another hallmark of senescence. SASP factors secreted by senescent cells cause inflammation and senescence in surrounding healthy cells.110 SASP is heterogeneous and varies depending on the cell type, with the presence of IL-6 and IL-8 identified as a typical feature.111
III. BIOCHEMICAL PATHWAYS FOR AGING-ASSOCIATED MECHANOTRANSDUCTION
A. The TGF-β/Smad pathway
Mechanical signals regulate cellular aging through various biochemical pathways (Fig. 1). For example, mitochondrial function and ROS production are highly sensitive to extracellular physical settings.28,29 The signal generated by the interaction between the ECM and integrin induces ROS production through the Rho family of GTPase.30–33 The elasticity and stiffness of the ECM change the shape and differentiation of cells, accelerating or delaying aging.1,15,17,34
FIG. 1.
Pathways regulating cellular rejuvenation, including mechanotransduction and biochemical signaling. Key pathways, including TGF-β/Smad, Wnt/β-Catenin, JAK/STAT, ERK1/2, Hippo/YAP, and mTOR, coordinate biochemical and mechanical signals to restore cellular health and counter aging. The TGFβ/Smad and Wnt/β-Catenin pathways regulate transcription linked to cell fate and growth. JAK/STAT and ERK1/2 modulate immune responses and proliferation, whereas the Hippo pathway links cytoskeletal tension to YAP/TAZ activity. The mTOR pathway integrates nutrient sensing and mechanical cues to control growth and metabolism. Integrins and focal adhesions connect extracellular matrix (ECM) stiffness to intracellular signaling, thus affecting nuclear morphology and chromatin structure. These pathways highlight therapeutic targets for cellular rejuvenation. Created in BioRender. H. Han, see https://BioRender.com/m51s609 (2025).
As tissues age, ECM stiffness increases due to enhanced collagen cross-linking and reduced elastin content, altering cellular mechanosensing and triggering aberrant mechanotransduction signaling.15 One of the primary pathways influenced by ECM stiffening is the Hippo/YAP signaling cascade. Under physiological conditions, soft ECM environments support YAP/TAZ cytoplasmic sequestration, maintaining cellular quiescence and homeostasis.26 However, in aged tissues, increased ECM rigidity promotes YAP/TAZ nuclear translocation, driving fibroblast activation, fibrosis, and cellular dysfunction.7 ECM stiffening enhances integrin-mediated focal adhesion signaling, leading to sustained activation of RhoA and actomyosin contractility, which further propagates cellular aging.3 Controlled mechanical cues such as cyclic stretching and soft substrate environments can mitigate age-related decline by restoring proper mechanotransduction signaling. These interventions promote autophagy, enhance mitochondrial function, and support stem cell renewal, thereby counteracting the detrimental effects of ECM aging.1
The TGF-β signaling pathway is highly mechanosensitive, responding to ECM stiffness and cellular contractility.112 Increased ECM tension promotes TGF-β activation, leading to Smad-dependent transcriptional changes that drive fibrosis, senescence, and inflammatory responses in aging tissues.113 ECM stiffening during aging enhances integrin-mediated mechanotransduction, leading to aberrant activation of FAK, RhoA signaling, and YAP/TAZ nuclear translocation.26 These mechanotransduction events promote actomyosin contractility, nuclear envelope deformation, and transcriptional reprogramming toward a senescent phenotype.9
TGF-β ligands bind to a Type II TGF-β receptor (TGFβR II) on the cell surface, and this receptor–ligand interaction induces the recruitment and Type I TGF-β receptor (TGFβR I) phosphorylation by TGFβR II.114 Activated TGFβR I propagates the signal downstream through the phosphorylation of receptor-regulated Smads, specifically Smad2 and Smad3.115 After phosphorylation, Smad2 and Smad3 undergo conformational changes, enabling them to dissociate from their receptors and form complexes with Smad4.115 The Smad2/3–Smad4 complex translocates to the nucleus and functions as a transcriptional regulator. TGF-β has an arginine–glycine–aspartic acid motif in latency-associated peptide and can bind to αVβ6 and αVβ8 integrins.116,117 Among these, αVβ6 integrins are linked to the cytosolic actin cytoskeleton, transmitting contractile force to the latency-associated peptide of TGF-β and releasing TGF-β ligands.112,118,119 Cellular tension and polarity also cause the release of active TGF-β.112,120 For example, treatment with a Rho/Rho-associated protein kinase inhibitor may collapse the physical separation between TGFβR I and TGFβR II, enabling these two receptors to form an active signal transmission complex.120,121
In terms of aging, dysregulation of TGF-β/Smad signaling leads to microglial activation, contributing to neuroinflammation and neuronal damage that can lead to AD.122,123 Increased TGF-β/Smad signaling elevates susceptibility to fibrosis in the kidneys, liver, and lungs because increased TGF-β/Smad signaling contributes to the accumulation of ECM components and tissue fibrosis.124 Smad2/3 activation promotes ECM accumulation through the expression of various fibrotic genes, including collagen,125 proteoglycans,126 connective tissue growth factors,127 and MMPs.128 TGF-β1 is concentrated in ECM by direct binding to fibrillin microfibers, accelerating fibrosis.84,129
B. Wingless-related integration site (Wnt)/β-catenin pathway
The Wnt/β-catenin signaling pathway is a mechanism that plays pivotal roles in embryonic development,130 tissue homeostasis,131 and disease pathogenesis,132 including cancer.133 The pathway is initiated when Wnt proteins bind to frizzled receptors and co-receptors, such as low-density lipoprotein receptor-related proteins 5 and 6, on the cell surface.134 Upon receptor activation, the cytoplasmic protein Disheveled is recruited to the receptor complex and undergoes phosphorylation.134 Activated Disheveled inhibits the activity of the β-catenin destruction complex, which includes Axin, adenomatous polyposis coli, glycogen synthase kinase 3β, and casein kinase 1.80 In the absence of Wnt signaling, this destruction complex continuously phosphorylates β-catenin, targeting it for ubiquitination and proteasomal degradation.135 Destruction complex inhibition leads to β-catenin stabilization and accumulation in the cytoplasm.135 The accumulated β-catenin then translocates into the nucleus and functions as a transcriptional coactivator.136
Within the nucleus, β-catenin interacts with transcription factors of the T-cell factor/lymphoid enhancer factor family.134 The Wnt/β-catenin pathway is tightly regulated by various mechanisms to prevent overactivation. Dickkopf and secreted frizzled-related proteins can bind to Wnt receptors or ligands, blocking their interactions and inhibiting the Wnt pathway.137 The activity of the β-catenin destruction complex can be restored, thereby ensuring the degradation of β-catenin and termination of the signal.138 Wnt/β-catenin signaling is affected by the mechanical transformation of cells. When the mechanical transformation is applied to stationary epithelial cells, the transcriptional activity of β-catenin increases, and it accumulates in the nucleus.139 The accumulated β-catenin causes the cell cycle to reenter the phase.139
The Wnt/β-catenin signaling pathway plays an essential role in translating mechanical forces into transcriptional programs that govern cell proliferation, differentiation, and senescence.139 Mechanical cues such as substrate rigidity, uniaxial stretching, and fluid shear stress can stimulate the activation of Wnt ligands, leading to enhanced β-catenin stabilization and nuclear accumulation.140 ECM compression and cyclic tensile strain can facilitate the recruitment and phosphorylation of Disheveled, which inhibits the β-catenin destruction complex.141 This allows β-catenin to translocate into the nucleus where it interacts with TCF/LEF transcription factors, thereby regulating the expression of the genes involved in tissue remodeling and stem cell maintenance.142
In the context of aging, ECM stiffening alters Wnt receptor clustering and disrupts the spatial regulation of Wnt ligand presentation, leading to dysregulated β-catenin signaling.143 This aberrant activation contributes to pathological processes such as fibrosis, chronic inflammation, and stem cell exhaustion.144 Wnt/β-catenin signaling modulates the mechanical integrity of adherens junctions by regulating E-cadherin and α-catenin interactions, thereby influencing cytoskeletal organization and mechanical resilience of aging tissues.145
Mechanosensing-based regulation within diseased or aged cells involves the reprogramming of Wnt-related mechanosensors such as LRP5/6 and Frizzled.146 Modifying the expression or localization of these receptors alters the ability of cells to detect and respond to ECM stiffness, allowing the restoration of homeostatic signaling thresholds.147 Biomaterials engineered to modulate Wnt signaling, such as Wnt-binding hydrogels and stiffness-tunable scaffolds, have shown potential in directing stem cell fate and enhancing tissue regeneration in aged microenvironments.148 In drug delivery applications, nanoparticles functionalized with Wnt inhibitors or activators can be designed to release their cargo in response to matrix tension or compression, enabling precise spatial and temporal control of Wnt signaling in fibrotic or degenerative tissues.149
C. mTOR pathway
The mTOR pathway is the central regulator of cell growth,150 metabolism,150 and survival151 and integrates signals from nutrients, growth factors, and cellular energy status to control various cellular processes.152 Mechanistic target of rapamycin complex 1 (mTORC1) is sensitive to rapamycin and regulates cell growth and metabolism, whereas mechanistic target of rapamycin complex 2 (mTORC2) is involved in regulating cytoskeleton and cell survival.153 mTORC1 is activated by the small GTPase Ras homolog enriched in the brain (Rheb), which is regulated by tuberous sclerosis complex 1/2.154 In the presence of growth factors, the phosphoinositide 3 kinase (PI3K)/AKT pathway phosphorylates and inhibits the tuberous sclerosis complex 2, leading to Rheb activation and subsequent mTORC1 activation.155
Amino acids activate mTORC1 through RAG GTPases, which recruit mTORC1 to the lysosomal surface where they interact with Rheb.153 Activated mTORC1 phosphorylates several downstream targets, including S6 kinase and eukaryotic initiation factor 4E-binding protein-1.156 S6 kinase phosphorylation promotes protein synthesis by enhancing the translation of mRNAs involved in ribosome biogenesis and cell growth.157 mTORC2 is activated by growth factors and involved in AKT phosphorylation at Ser473, which is required for complete AKT activation.158,159 mTORC2 also phosphorylates other protein kinase A, G, and C family kinases, such as serum and glucocorticoid regulated kinase 1 and protein kinase C, which regulate the cytoskeleton and cell survival.155 mTORC1 negatively regulates autophagy by phosphorylating and inhibiting Unc 51-like kinase 1 complex. Under nutrient-rich conditions, mTORC1 suppresses autophagy, whereas nutrient deprivation leads to the inhibition of mTORC1 and activation of autophagy, enabling the cells to recycle macromolecules and maintain energy homeostasis.153
Mechanical stimulation regulates the activation of mTORC1 through the insulin-like growth factor 1 and PI3K/AKT pathways, as the amount of calcium inflow through stretch-activated channels varies.160–164 mTORC1 inhibition enhances autophagy, thereby promoting cellular homeostasis and mitigating age-related dysfunction.165 Reduced mTORC1 activity is also associated with decreased chronic inflammation by limiting the production of pro-inflammatory cytokines, highlighting its potential role in combating inflammaging.166
The mTOR pathway integrates mechanical signals with metabolic and growth-related cues to regulate protein synthesis, autophagy, and mitochondrial function.150 mTORC1 is primarily activated by mechanical loading through mechanosensitive ion channels, focal adhesion complexes, and the PI3K/AKT pathway.167 Compression and tension induce calcium influx via stretch-activated channels, which in turn modulate AKT phosphorylation and promote mTORC1 activation.167 This activation enhances anabolic processes and cell growth but, when persistent, can also contribute to aging-associated cellular hypertrophy and senescence.168
In aged tissues, chronically elevated ECM stiffness and loss of elasticity lead to sustained mTORC1 activation, impairing autophagy and exacerbating mitochondrial dysfunction.169 These effects result in increased ROS production and accumulation of damaged proteins, contributing to tissue degeneration and inflammaging.170 Inhibiting mTORC1 activity through mechanical unloading or soft ECM environments restores autophagy, enhances metabolic homeostasis, and improves cellular resilience.171
Mechanical control of mTOR-related mechanosensing in diseased aged cells includes targeting stretch-activated channels and upstream activators such as integrins and FAK.172 Modulating these sensors can recalibrate the sensitivity of the mTOR pathway sensitivity to mechanical input.173 Engineering approaches utilizing viscoelastic hydrogels, 3D culture systems with gradient stiffness, and nanoparticle delivery of mTOR modulators have demonstrated success in reestablishing mTOR signaling balance.174 Mechanoresponsive nanoparticles that release rapamycin in tension-rich environments allow localized mTOR inhibition, improving therapeutic outcomes in fibrotic or inflamed tissues.175
D. The Janus kinase (JAK)/signal transducer and activator of transcription (STAT) pathway
Defective JAK/STAT signaling has been linked to chronic inflammation and decreased cellular responsiveness, which are hallmarks of cardiovascular aging.176 Impairment of this pathway contributes to the deterioration of cardiovascular function with age.177 The JAK/STAT pathway is more active in the adipose tissue of aging animals than in the tissues of younger animals, as well as in senescent cells rather than in non-senescent cells.178 This increased activation is associated with increased inflammation and metabolic dysfunction, indicating a direct link between JAK/STAT signaling and aging.179 This capability is crucial for maintaining cellular homeostasis and function and tends to decline with age.170
The JAK/STAT pathway is influenced by mechanical forces such as shear stress and tissue stiffness, which are prevalent during aging. Disruption of this mechanosensitive pathway contributes to increased inflammation and metabolic dysfunction—strong indicators of cardiovascular aging and tissue degeneration.179 In senescent cells and aged adipose tissue, heightened JAK/STAT activation under mechanical imbalance exacerbates pro-inflammatory responses and impairs cellular homeostasis.3 Focusing on the mechanobiological aspects of the JAK/STAT pathway may help in the restoration of tissue function and treatment of aging-associated diseases.179
The JAK/STAT signaling cascade is highly responsive to biomechanical forces such as ECM deformation, matrix stiffening, and shear stress.180 Mechanical signals modulate the spatial organization and activation of JAKs at focal adhesion sites, facilitating STAT phosphorylation and nuclear translocation.181 Shear-induced mechanical strain activates JAK2 and STAT3 in endothelial cells, promoting pro-inflammatory cytokine expression and vascular remodeling.182
In aged ECM environments, which are characterized by fibrotic remodeling and increased stiffness, JAK/STAT signaling becomes chronically activated, leading to excessive secretion of SASP factors and persistent inflammation.183 The interplay between integrin-mediated mechanosensing and JAK/STAT activation contributes to immune dysregulation and senescence propagation in surrounding cells.184 Thus, this mechanotransduction pathway thereby links age-related matrix changes to systemic inflammaging.185
Modulation of mechanosensing elements upstream of JAK/STAT, such as integrin FAK complexes and the tension-responsive actin cytoskeleton, has emerged as a strategy to regulate pathway activity in diseased aging cells.186 Targeting the mechanical inputs that initiate STAT phosphorylation helps to normalize inflammatory responses.3 From a therapeutic standpoint, mechanical modulation of JAK/STAT activity through soft substrates or cyclic mechanical conditioning has shown promise in reducing inflammatory gene expression and restoring homeostasis.187 Liposomal nanoparticles encapsulating JAK inhibitors are also being developed to respond to ECM mechanical states, allowing targeted suppression of inflammation in stiffened, aged tissues.188
E. The extracellular signal-regulated kinase (ERK) 1/2 pathway
The ERK1/2 pathway is activated when growth factors bind to receptor tyrosine kinases, thus triggering receptor dimerization and autophosphorylation.189 ERK1/2 can phosphorylate cytoplasmic substrates and regulate processes, such as cytoskeletal rearrangement and cell migration.190 The ERK1/2 pathway is tightly regulated by various mechanisms to prevent its overactivation.191 Dual-specificity phosphatases dephosphorylate ERK1/2, thereby inactivating it and terminating its signal. In the context of aging, the ERK1/2 pathway drives the senescent phenotype in response to senescence-induced stimuli.192 The ERK1/2 pathway is involved in the regulation of autophagy, a process that declines with age and contributes to the accumulation of damaged cellular components.193 Inhibition of sirtuin1, a longevity-associated protein, reduces Ras/ERK1/2 pathway activation, suggesting a complex interplay between these signaling networks in the regulation of aging. Because of its pivotal role in aging and cellular senescence, the ERK1/2 pathway is a potential target for therapeutic interventions to mitigate age-related cellular dysfunction and promote healthy aging.194
Mechanical signals initiate receptor tyrosine kinase activation, propagate downstream ERK1/2 signaling, and bridge the mechanical and biochemical pathways.3,195 Increased tissue stiffness owing to ECM remodeling amplifies mechanical inputs, thereby causing hyperactivation of the ERK1/2 pathway.3 Mechanical stress-induced ERK1/2 activation exacerbates senescence and dysfunction of fibroblasts and endothelial cells.196
The ERK1/2 pathway is a crucial mediator of cellular responses to mechanical and biochemical stimuli, playing roles in proliferation, differentiation, and senescence.197 Mechanical forces, such as matrix stretching and compression, activate ERK1/2 via receptor tyrosine kinases and integrin FAK signaling.198 These stimuli initiate the Ras-Raf-MEK cascade, leading to ERK1/2 phosphorylation and downstream nuclear transcriptional responses.199
In aged tissues, ECM stiffening increases the mechanical load transmitted through focal adhesions, resulting in ERK1/2 hyperactivation.200 This chronic signaling promotes fibroblast senescence, enhances the expression of matrix-degrading enzymes, and disrupts tissue homeostasis. Furthermore, elevated ERK1/2 activity has been linked to impaired autophagy, a hallmark of aging cells.201
Mechanosensing in aged cells can be reprogrammed by targeting upstream ERK activators such as syndecans and integrin-linked kinases, which respond to ECM tension.202 Inhibiting aberrant force transmission through these sensors reduces ERK1/2 overactivation.203 Mechanoadaptive materials, such as dynamic stretch devices and elasticity-controlled hydrogels, have been utilized to fine-tune ERK1/2 signaling.204 Nanocarrier systems that deliver ERK inhibitors or MAPK pathway modulators are being designed to respond to mechanical stimuli such as matrix tension, which should ensure precise inhibition of hyperactive pathways in stiffened, aging tissues.205
F. The Hippo/YAP pathway
The Hippo pathway involves a series of molecular events that transmit signals from the cell membrane to the nucleus, ultimately regulating gene expression.206 This pathway is initiated by various upstream signals, including cell–cell contact, mechanical stress, and ECM stiffness.207 These signals activate the core kinase cascade of the Hippo pathway, starting with the mammalian sterile 20-like protein kinases 1 and 2.208 In association with the adaptor protein Mps one binder 1, activated large tumor suppressor 1/2 kinases that phosphorylate the transcriptional coactivators YAP and TAZ.209 YAP/TAZ phosphorylation causes it to become sequestered in the cytoplasm by binding to 14-3-3 proteins, preventing their translocation to the nucleus and subsequent transcriptional activity.210 This transcriptional activity is essential for maintaining organ size and supporting tissue regeneration.207 Overall, the Hippo/YAP pathway plays a notable role in maintaining tissue regeneration and stem cell function.211
Age-related decline in YAP/TAZ activity has been linked to reduced regenerative capacity and increased tissue degeneration, particularly in the skin, where it regulates both epidermal and dermal aging.212 The Hippo/YAP pathway is highly sensitive to mechanical cues like ECM stiffness, cell density, and tensile forces, which regulate YAP/TAZ nuclear localization and transcriptional activity.26 Mechanical stresses such as cyclic stretching or substrate stiffness activate YAP/TAZ by inhibiting the phosphorylation cascade of the Hippo pathway. For example, stiff ECM conditions enhance the nuclear activity of YAP/TAZ, thereby promoting cellular proliferation and tissue growth.213 Soft ECM environments or mechanical unloading reduce YAP/TAZ activity, which is crucial for maintaining stem cell quiescence and preventing excessive proliferation.214 During aging, chronic mechanical stress and ECM stiffening disrupt YAP/TAZ activity, thereby contributing to tissue fibrosis and the loss of regenerative potential.7
The Hippo/YAP signaling axis is a master regulator of mechanotransduction, translating mechanical cues from the ECM and cytoskeleton into transcriptional programs that control cell proliferation, organ size, and regeneration.215 In mechanically relaxed environments, the Hippo kinase cascade is activated, leading to YAP/TAZ phosphorylation and cytoplasmic retention. Mechanical tension, actomyosin contraction, and ECM stiffening inhibit Hippo kinases, allowing YAP/TAZ to accumulate in the nucleus and driving gene expression.216
In aged tissues, sustained ECM stiffening and elevated cytoskeletal tension result in prolonged YAP activation, promoting fibrosis, cellular senescence, and loss of tissue plasticity.217 YAP/TAZ dysregulation contributes to altered chromatin organization, impaired DNA repair, and stem cell exhaustion.218 Controlled mechanical stimulation, such as pulsatile flow, cyclic stretching, or hydrogel-based soft environments, can restore YAP activity to regenerative levels.214
Reprogramming mechanosensors that regulate the Hippo/YAP axis, including cadherins, α-catenin, and LINC proteins, constitutes a strategy to modulate this pathway in aged or fibrotic tissues.219 Targeted interventions can reset nuclear tension thresholds and restore proper YAP/TAZ shuttling.9 Engineered biomaterials with tunable stiffness and ligand presentation have been designed to modulate YAP nuclear localization and activity.148 These materials support the reactivation of regenerative transcriptional programs while suppressing fibrotic signaling.220 Additionally, nanoparticles targeting YAP TEAD interactions or delivering YAP/TAZ small interfering RNAs (siRNAs) can be activated in response to mechanical tension, offering spatiotemporal control of mechanotransduction in aging microenvironments221 (Fig. 2).
FIG. 2.
The effect of shear stress and substrate stiffness on TAZ/YAP signaling and cellular morphology. (a) Representative immunofluorescence images showing DAPI (blue), TAZ (green), and F-actin (red) in control and shear stress conditions. (b) Quantification of TAZ subcellular localization in control and shear stress conditions. (c) Quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis showing relative fold induction of CTGF and Cyr61 in control and shear stress conditions. (d) Representative images of mineralized nodules in control and shear stress conditions, stained with Alizarin Red S. (e) qRT-PCR analysis of osteogenic marker genes (TAZ, Runx2, DLX5, Msx2) under control and shear stress conditions. Reproduced with permission from Kim et al., PLoS One 9, e92427 (2014). Copyright 2014 Authors, licensed under a Creative Commons Attribution (CC BY) license. (f) Immunofluorescence staining of Phalloidin (yellow) and YAP (white) in cells cultured on 5 and 29 kPa substrates under control and Talin 2 shRNA conditions. (g) Schematic representation of cell morphology changes in control and Talin 2 shRNA conditions. Reproduced with permission from Elosegui-Artola et al., Cell 171, 1397 (2017). Copyright 2017 Elsevier.
IV. MECHANOMEDICINE: DISEASE-SPECIFIC TARGETED THERAPY FOR CELLULAR REJUVENATION
A. Chronic inflammation
Inflammaging impairs tissue structure and function and decreases regenerative capacity.222 The accumulation of senescent cells within tissues elevates the secretion of SASP, a mixture of pro-inflammatory cytokines, chemokines, and proteases, which destroys the microenvironment and accelerates age-related pathologies, such as cardiovascular diseases and osteoarthritis (OA).223 Age-related ECM stiffening enhances integrin-mediated mechanosignaling, activating FAK, RhoA/ROCK, and downstream NF-κB, which together promote the SASP.224 This mechanotransduction cascade reinforces chronic pro-inflammatory loops by promoting the secretion of IL-6, IL-1β, and TNF-α, and drives further matrix degradation via MMP.225 This dismantles the structure and function of tissues and impairs their regenerative abilities.226
ECM-targeting interventions aim to restore the biomechanical properties of aging tissues by employing biomaterial-based scaffolds that mimic the native ECM environment.227 These scaffolds provide structural support and biochemical cues that promote cellular rejuvenation.228 Enzymatic degradation of fibrotic ECM components, such as collagen and elastin crosslinks, can alleviate age-related tissue stiffness and improve mechanotransduction-based signaling.229
Mechanotransduction-targeted drug delivery focuses on modulating focal adhesion signaling, which plays a crucial role in cellular aging.230 Nanoparticles engineered to regulate integrin-mediated mechanosensing can selectively enhance or inhibit FAK activity, restoring proper mechanotransduction and preventing senescence-associated signaling cascades.231 These approaches allow for precise control over the mechanobiological pathways involved in tissue regeneration and cellular repair.232
Direct cellular reprogramming via mechanomodulation of cytoskeletal tension and nuclear mechanics offers an innovative strategy for reversing cellular senescence.25 By modulating actin cytoskeletal tension and nuclear stiffness, it is possible to influence YAP/TAZ activity, chromatin remodeling, and mitochondrial function, ultimately restoring a youthful cellular phenotype.233 Emerging technologies such as substrate stiffness tuning and dynamic mechanical loading have demonstrated significant potential in resetting cellular mechanotransduction programs.17
Mechanomedical approaches aim to reverse these effects by modulating ECM stiffness and reestablishing mechanical homeostasis.3 Polyethylene glycol-based soft hydrogel scaffolds reduce nuclear stress and downregulate NF-κB signaling in senescent immune cells.234 Nanoparticles encapsulating FAK inhibitors or YAP/TAZ siRNA can be delivered using ECM tension-sensitive release mechanisms, such as MMP cleavable linkers.235 These interventions allow spatially restricted, mechanically triggered immunomodulation in fibrotic or inflamed tissues, restoring balance to innate and adaptive immunity.236
These comprehensive approaches, including therapies targeting cellular senescence, efferocytosis, and mitochondria, offer promising avenues for mitigating chronic inflammation, enhancing tissue function, and slowing down the progression of age-related diseases237 (Fig. 3).
FIG. 3.
Effects of Nestin (NES) knockdown on cellular senescence, inflammatory cytokine expression, and nuclear architecture. (a) NES knockdown in A549 and H1299 cells induces an increase in senescence markers, as shown by SA-β-gal staining. (b) and (c) Increased mRNA expression levels of IL-6 and IL-8 in NES-knockdown A549 and H1299 cells. (d) Altered distribution of lamin B and H3K9me3 in NES-knockdown A549 and H1299 cells. Reproduced with permission from Zhang et al., Nat. Commun. 9, 3613 (2018). Copyright 2018 Authors, licensed under a Creative Commons Attribution (CC BY) license. (e) Quantification of SA β-galactosidase-positive cells in control and NES knockdown conditions. (f) Relative senescence-associated secretory phenotype (SASP) expression in control and NES knockdown conditions. (g) Representative fluorescence images of nuclear envelope integrity under different conditions (V: Vehicle, D: Drug, Q: Quiescence, D + Q: Drug + Quiescence). (h) Quantification of fluorescence intensity under different conditions. Reproduced with permission from Zhu et al., Aging Cell 14, 644–658 (2015). Copyright 2015 Authors, licensed under a Creative Commons Attribution (CC BY) license.
B. Cancer
Aging and cancer are intricately linked through various biological mechanisms that contribute to the increased incidence of cancer in aging adults.
Therapeutic strategies targeting the interplay between aging and cancer focus on mitigating inflammation, eliminating senescent cells, and enhancing immune responses.238 Anti-inflammatory therapies, such as IL-1β inhibitors and COX-2 blockers, reduce inflammation-driven tumorigenesis by suppressing pro-inflammatory pathways.239,240 Certain compounds can target and remove senescent cells, reduce their pro-tumorigenic secretome, and promote the restoration of tissue homeostasis.241 Advanced drug delivery systems, including nanoparticles and lipid-based carriers, can enhance the specificity and efficacy of chemotherapeutics, while minimizing systemic toxicity.242,243 ECM remodeling strategies targeting tumor-associated stiffness disrupt mechanotransduction pathways and impair cancer cell proliferation and metastasis.244 In aged tissues, the TME becomes mechanically dysregulated due to increased collagen cross-linking, enhanced matrix stiffness, and elevated actomyosin contractility in cancer-associated fibroblasts.22 These changes activate integrin FAK-Src-YAP/TAZ signaling cascades, leading to epithelial–mesenchymal transition, metabolic reprogramming, and immune evasion.83 Mechanically driven changes in nuclear morphology further disrupt chromatin topology and DNA repair capacity in cancer cells.27
Mechanomedical interventions target these abnormalities by combining ECM-modifying enzymes with mechano-adaptive biomaterials.245 For instance, MMP-sensitive nanoparticles loaded with paclitaxel are preferentially activated in fibrotic, stiff regions of tumors.246 Hydrogel scaffolds presenting RGD integrin ligands in spatial gradients can also normalize mechanotransduction and reduce YAP-driven tumorigenesis.247 Finally, mechanical softening of the TME using viscoelastic fillers suppresses CAF activation and enhances responsiveness to immune checkpoint blockade, representing a synergy between mechanobiology and immune oncology.248
C. Immune disorders
Aging-induced ECM remodeling alters immune cell mechanosensing through increased stiffness and disrupted topography.249 This impairs integrin-mediated signaling and alters the actin cytoskeleton, reducing T-cell activation thresholds and diminishing B-cell germinal center responses.250 Chronic mechanical stress activates the JAK/STAT and NF-κB pathways, fueling immunosenescence and autoimmunity.251 Inflammaging perpetuates immune dysfunction by persistently activation innate immune responses and the secretion of pro-inflammatory cytokines such as IL-6, IL-1β, and TNF-α.98 This inflammatory state disrupts immune homeostasis and contributes to an increased susceptibility to infections, autoimmune diseases, and cancer.240 In addition to these systemic changes, aging directly affects immune cells, leading to functional decline and impaired responses to pathogens.98
Moreover, senescent immune cells accumulate and secrete SASP factors, including chemokines and matrix-degrading enzymes, creating a pro-inflammatory microenvironment that exacerbates immune dysregulation and tissue damage.252 In aging immune cells, overproduction of ROS impairs signal transduction and cellular function.243 Glycolytic reprogramming alters the metabolic profile of aged immune cells, thereby reducing their ability to mount effective responses to infections and tissue damage.253
Mechanomedical strategies involve restoring mechanical elasticity in immune niches via decellularized ECM scaffolds with defined viscoelastic profiles.254 Biomaterials coated with intercellular adhesion molecule 1 and vascular cell adhesion molecule 1 on compliant substrates can enhance T-cell mechanotransduction and cytokine sensitivity.255 Mechanically responsive polymeric nanoparticles delivering JAK inhibitors or IL-10 can also modulate local immune responses in fibrosis or aged lymphoid tissues.256 To summarize, these approaches reduce inflammation while preserving antigen-specific immunity, reprogramming immunological aging through physical microenvironmental control.257
Therapeutic strategies to counteract these effects include mitigating inflammation, enhancing immune function, and restoring immune homeostasis.258 Adjuvants, such as MF59 and AS03, enhance vaccine efficacy in aging adults by boosting antigen presentation and innate immune activation, leading to improved protection against infections.259 For example, the Shingrix vaccine, which contains an AS01 adjuvant, significantly improves protection against shingles in aging populations compared with traditional vaccines.260 Anti-inflammatory therapies, such as canakinumab, an IL-1β inhibitor, effectively reduce systemic inflammation and improve immune resilience.261
Nanoparticle-based drug delivery systems offer precise therapeutic options by enhancing the specificity and minimizing off-target effects.262 For instance, lipid nanoparticles delivering siRNA against TNF-α have shown promise in reducing inflammation in preclinical models.263 By integrating these approaches, therapeutic interventions can effectively address age-related declines in immune function; reduce the risk of infections, autoimmune diseases, and chronic inflammation; and promote overall immune resilience and health in aging adults.264
D. Other diseases
Aging is a critical determinant in the progression of numerous diseases beyond those conventionally linked to it.265 Mechanosensing via αvβ6 integrins, FAK, and YAP/TAZ enhances SMAD2/3 nuclear localization, creating a positive feedback loop.266 In OA, chondrocyte mechanotransduction through TRPV4 and integrins is impaired due to cartilage stiffening and altered pericellular matrix composition, which results in inflammation and degradation of the ECM.267 Idiopathic pulmonary fibrosis (IPF) is a prime example of an age-induced transcriptional abnormality that causes continuous activation of the fibroblasts, leading to excessive ECM accumulation and alveolar damage.268 Targeting TGF-β signaling using small-molecule inhibitors, such as pirfenidone and nintedanib, has shown clinical efficacy in slowing IPF progression by mitigating fibroblast activation and collagen deposition.269
The accumulation of lipofuscin and drusen deposits in the retinal pigment epithelium triggers chronic inflammation and complement activation, leading to photoreceptor death.270 Oxidative stress driven by mitochondrial dysfunction exacerbates these processes, highlighting the role of aging in AMD pathogenesis.61 Therapies targeting the complement cascade, such as the use of anti-C5 monoclonal antibodies, have shown promise in reducing inflammation and slowing disease progression.271
Cardiovascular aging involves increased vascular stiffness and pulse pressure, which trigger mechanosensitive ERK1/2 and RhoA/ROCK pathways in smooth muscle and endothelial cells.272 These changes reduce nitric oxide bioavailability and promote arterial remodeling.273 Advanced therapies, including lipid-lowering agents such as PCSK9 inhibitors and anti-inflammatory drugs such as colchicine, aim to reduce the atherosclerotic burden and improve vascular health.274 In addition, regenerative approaches, including endothelial progenitor cell therapy, have been explored as a means of restoring vascular integrity and promoting angiogenesis.275 Aging is a pivotal factor that contributes to insulin resistance and type 2 diabetes.276 Cellular senescence in pancreatic β-cells and adipocytes impairs insulin secretion and sensitivity, whereas inflammaging exacerbates metabolic dysregulation.277 Therapies targeting senescence-associated pathways, such as mTOR inhibitors like rapamycin, may improve insulin sensitivity and delay the onset of type 2 diabetes.278 Dietary interventions, including intermittent fasting and caloric restriction, are also effective in mitigating age-related metabolic decline.279
Mechanomedical solutions include stretchable stents with tunable mechanical compliance that buffer pressure fluctuations and reduce vascular mechanostress.280 In IPF, inhalable nanocarriers that are responsive to high-tension ECM can selectively deliver antifibrotic agents in stiffened alveolar regions.281 In OA, cartilage adhesive hydrogels delivering TRPV4 agonists restore anabolic signaling.282 These targeted interventions reverse pathologic mechanotransduction in aging tissues and reestablish homeostatic mechanical signaling essential for organ integrity.1
OA exemplifies the impact of aging on musculoskeletal health.283 Chondrocyte senescence and ECM degradation lead to thinning of the cartilage and joint inflammation; furthermore, oxidative stress accelerates these degenerative changes.284 Current therapeutic approaches focus on alleviating symptoms and halting disease progression. Intra-articular injections of hyaluronic acid and corticosteroids provide symptomatic relief, whereas emerging therapies, such as MSC-derived exosomes, show promise for promoting cartilage repair and reducing inflammation285 (Figs. 4 and 5).
FIG. 4.
The effect of ECM stiffness and HDAC3 expression on osteoarthritis (OA) progression. (a) Aging markers (DAPI, p16, p21) observed in cartilage tissue under increased ECM stiffness. Reproduced with permission from Fu et al., Bone Res. 12, 32 (2024). Copyright 2024 Authors, licensed under a Creative Commons Attribution (CC BY) license. (b) Immunofluorescence staining shows alterations in F-actin (red) and vinculin (green) localization, along with nuclear DAPI staining (blue), demonstrating cytoskeletal reorganization under different conditions. (c) Quantification of F-actin fluorescence intensity reveals increased cytoskeletal tension in both young and aged cells following TGFβ1 treatment. (d) Vinculin fluorescence intensity indicates focal adhesion remodeling, highlighting differences between young and aged cells. Reproduced with permission from Zhu et al., Sci. Rep. 8, 2668 (2018). Copyright 2018 Authors, licensed under a Creative Commons Attribution (CC BY) license.
FIG. 5.
OA progression linked to ECM stiffness and HDAC3-related protein alterations. (a) HDAC3 staining in cartilage sections from control and OA models. (b) and (c) The percentage of HDAC3-positive cells was significantly higher in OA samples compared to controls, correlating with the severity of cartilage degeneration. OARSI scoring further highlights the progression of OA, showing significant increases in degeneration from control to moderate and severe conditions. Reproduced with permission from Fu et al., Bone Res. 12, 32 (2024). Copyright 2024 Authors, licensed under a Creative Commons Attribution (CC BY) license. (d) PDK1 inhibition reverses cellular senescence in human dermal fibroblasts by modulating the mTOR and NF-κB pathways, restoring the morphological and functional characteristics of youthful cells. Reproduced with permission from Proc. Natl. Acad. Sci. 117, 31535 (2020). Copyright 2020 National Academy of Sciences.
V. ENGINEERING APPLICATIONS OF MECHANOBIOLOGICAL THERAPIES
A. Mechanical modulation for cellular rejuvenation
Mechanical modulation is pivotal in cellular rejuvenation as it alters cellular architecture and enhances functions to counteract aging.286 Mechanical stretching activates the Nrf2 antioxidant pathway, reducing oxidative stress, and preserving mitochondrial integrity.287 Dynamic mechanical loading has been shown to increase ECM turnover by activating MMPs, facilitating the removal of damaged proteins and promoting tissue elasticity.3 These interventions mitigate ECM stiffening, a hallmark of aging, thereby improving cellular function.288 Mechanical stimuli such as stretching and compression reorganize cytoskeletal structures, activate ion channels, and regulate intracellular signaling pathways, driving key cellular processes like differentiation and survival.289
Another approach focuses on optimizing drug delivery in aging ECM environments, where increased fibrosis and stiffness hinder therapeutic efficacy.290 Nanoparticle-based mechanosensitive carriers enable targeted drug release in response to mechanical cues, improving bioavailability in fibrotic tissues.291
Mechanosensitive ion channels, such as piezo1 and transient receptor potential vanilloid 4, are key mediators of cellular responses to mechanical stimuli. They regulate calcium influx and activate downstream signaling pathways critical for cytoskeletal remodeling and cellular rejuvenation.24 These mechanomodulation strategies provide a foundation for advanced applications such as nanoparticle-based therapies, which have the potential to further enhance the precision of cellular and tissue rejuvenation.291 Physical design approaches for biomaterials are increasingly being leveraged to promote cellular rejuvenation by modulating mechanical signals. In mechanobiology, engineered biomaterials are designed to replicate the physical properties of the ECM—such as stiffness, elasticity, and topography—thereby mimicking the natural mechanical cues of the ECM, which cells recognize and respond to through mechanotransduction pathways. For example, adjusting ECM stiffness through the design of biomaterials can restore stem cell differentiation by activating the YAP/TAZ signaling pathways, which are critical for cellular rejuvenation. The mechanical stimulation provided by these biomaterials leads to calcium influx, activating downstream signaling pathways that enhance cytoskeletal remodeling and promote cellular rejuvenation. This process is critical for reversing age-related cellular dysfunction, particularly in tissues with altered ECM properties due to aging.291 Oscillatory mechanical forces enhance stem cell differentiation by upregulating YAP/TAZ activity, which translocates to the nucleus and promotes the expression of regenerative genes.43 By integrating mechanical modulation with advanced biomaterials such as hydrogel scaffolds, precise control over mechanical forces is achieved, ensuring long-term tissue regeneration.292
A comprehensive analysis of ECM elasticity and topography provides insights into how material-based cues influence cellular function in mechanobiology. Cells respond to changes in ECM stiffness by altering both their mechanical and biochemical signaling pathways, which in turn affects their behavior. For instance, modifying ECM stiffness can activate mechanosensitive ion channels, including Piezo1 and TRPV4, which regulate calcium influx and drive the downstream signaling pathways essential for cellular rejuvenation. These mechanical cues also enhance cellular reprogramming by promoting the activation of stem cells, improving mitochondrial function, and restoring youthful gene expression profiles. By manipulating ECM elasticity, cells can be reprogrammed to exhibit characteristics of younger, more regenerative states, which is essential for reversing aging processes and promoting tissue regeneration.292
B. Nanoparticles in mechanobiological therapies
Nanoparticles represent a sophisticated engineering strategy for mitigating mechanobiological changes in aging tissues.293 These systems operate by making targeted modifications of the ECM, enhancing drug delivery efficacy within aged ECM microenvironments, and precisely modulating intracellular mechanosensitive signaling pathways.236 ECM-targeting nanoparticles focus on remodeling the aged microenvironment by delivering MMP-based therapeutics to degrade excessive ECM components, thereby restoring tissue elasticity.294 Hybrid nanoparticles combining organic and inorganic components can further enhance ECM interactions and promote tissue repair,295 where nanoparticles were engineered to be small enough to penetrate this rigid matrix. By loading chemotherapeutic agents into these nanoparticles, the study demonstrated that these carriers could facilitate deeper tissue penetration, resulting in enhanced therapeutic outcomes.295 This approach specifically addresses the mechanobiological challenge posed by ECM stiffness, as the nanoparticles can not only traverse, but also remodel the ECM. This remodeling process is key to enhancing cellular rejuvenation within the tumor microenvironment.295
Nanoparticles play a foundational role in mechanobiological therapies by providing unparalleled precision for drug delivery and tissue regeneration.296 These scaffolds have been carefully engineered with controlled topographies and stiffness properties that provide specific mechanical cues to influence stem cell behavior.296 By precisely designing these nanomaterial scaffolds, stem cells could be directed to regenerate tissues by responding to the mechanosensory signals embedded in the materials.296 This mechanobiological approach not only promotes cellular rejuvenation but also creates an optimal environment for enhanced tissue regeneration, closely mimicking the natural ECM properties that are vital for cellular health.296 These characteristics mean that nanoparticles can be used to treat age-associated diseases and mechanobiological dysfunctions, for which conventional treatments often fall short.297 Lipid-based nanoparticles encapsulating donepezil demonstrated a 45% improvement in BBB permeability and a 30% increase in sustained drug release, resulting in significant cognitive improvements in AD models.298
Nanoparticle-based drug delivery systems can help overcome the challenges of the BBB, a significant hurdle in treating neurodegenerative diseases.260 The BBB, which becomes increasingly permeable during aging, can be targeted using nanoparticles to improve the delivery of therapeutic agents such as antioxidants, mitochondria-targeted drugs, and gene therapies.260 By integrating mechanotransduction into these delivery systems, researchers can fine-tune drug release in response to mechanical cues from the tissue matrix, thereby improving therapeutic outcomes in aging-related neurodegenerative diseases.299 This approach is not only focused on alleviating the symptoms of neurodegenerative diseases but also on counteracting the aging-associated remodeling of the ECM and cellular aging itself.260
Nanoparticle-based drug delivery systems, such as lipid nanoparticles and polymeric hydrogels, improve BBB penetration and enhance drug efficacy in neurological disorders.300 Regenerative therapies using induced pluripotent stem cells and mesenchymal stem cells (MSCs) promote neuronal regeneration and synaptic repair, offering hope for reversing neurodegenerative damage.2 In neurodegenerative conditions such as Alzheimer's disease, BBB integrity is compromised due to chronic neuroinflammation and endothelial dysfunction.260,299 Mechanomedicine approaches that target these physical and biochemical signaling axes using smart nanocarriers or matrix-responsive delivery systems.299
In regenerative medicine, nanoparticles facilitate the localized and sustained delivery of therapeutic agents, promoting tissue repair and regeneration.301 Hybrid nanoparticles that integrate organic and inorganic components are advancing dual-functional approaches.302 These nanoparticles deliver drugs with 80% targeting efficiency and enable real-time imaging for therapeutic monitoring, representing a significant advancement in precision medicine.303 Lipid-based nanoparticles encapsulating small molecules or gene editing tools such as Cas9 ribonucleoproteins have demonstrated the ability to optimize drug delivery by improving penetration in stiffened ECM environments, thereby increasing therapeutic efficacy.304 pH-sensitive nanoparticles, designed to release drugs specifically in the acidic microenvironments of fibrotic or tumor tissues, enhance drug specificity while minimizing systemic toxicity.305 Oncology remains a pivotal area for nanoparticle applications, where targeted delivery reduces systemic toxicity and improves therapeutic outcomes.306 Nanoparticles loaded with chemotherapeutic agents, such as doxorubicin, reduced tumor size by 70% in preclinical models, while demonstrating 50% lower toxicity than standard chemotherapy protocols.307 pH-sensitive nanoparticles designed to release drugs in acidic tumor microenvironments demonstrated a 50% increase in therapeutic efficacy by minimizing off-target effects.308 In fibrotic diseases, MMP-conjugated nanoparticles achieved 60% restoration of tissue elasticity and a 35% reduction in fibrotic markers, showcasing their potential for tissue remodeling and normalization of mechanotransduction pathways.309
Lipid nanoparticles encapsulating Cas9 ribonucleoproteins have achieved a 70% success rate in correcting genetic mutations implicated in familial hypercholesterolemia, highlighting their transformative potential for treating genetic disorders.310 Despite these advancements, challenges persist in optimizing long-term biocompatibility and minimizing immune responses.311 Progress in biodegradable nanoparticles and surface modifications is addressing these concerns, and machine learning algorithms are expediting nanoparticle design, reducing optimization time by up to 40%.312 By addressing molecular and cellular dysfunction, nanoparticle-based therapies represent a transformative leap in mechanobiological applications313 (Fig. 6).
FIG. 6.
Therapeutic strategies targeting aging mechanisms and cellular rejuvenation. (a) Time-lapse imaging of cellular responses under different conditions, including normal and TGF-β stimulation at various time points (days 5, 7, 10, 13, 16). Heatmaps represent changes in fluorescence intensity over time. Reproduced with permission from Kim et al., Nat. Mater. 23, 290–300 (2023). Copyright 2023 Authors, licensed under a Creative Commons Attribution (CC BY) license. (b) Representative fluorescence images of cells treated with saline, VPQDs, CaNPs, and VPCaNPs. Nuclei are stained with DAPI (blue), membrane structures with DiD (red), and calcium deposits with Calcein (green). (c) X-ray diffraction (XRD) analysis of VPQDs, CaNPs, and VPCaNPs, displaying their crystalline structures. (d) Histological analysis of tissue samples treated with saline, VPQDs, CaNPs, and VPCaNPs. Reproduced with permission from Zhang et al., Nat. Commun. 15, 6783 (2024). Copyright 2024 Authors, licensed under a Creative Commons Attribution (CC BY) license.
C. Mechanochemical dynamic therapy (MDT)
MDT is an innovative mechanobiological therapy that uses mechanical forces to regulate cellular behavior and tissue dynamics.1 This therapeutic modality addresses age-associated diseases and mechanobiological dysfunctions by integrating mechanical and chemical signals to restore cellular homeostasis and promote tissue regeneration.314 MDT aims to reverse these pathological changes by applying controlled mechanical stimuli to activate specific biochemical pathways and enhance cellular responses to external cues.315
In fibrosis models, dynamic mechanical compression applied to the fibrotic lung tissue reduced myofibroblast activation by 50% and restored tissue elasticity by 60%.316 These findings highlight the potential of MDT to directly modulate cellular mechanotransduction pathways to achieve therapeutic benefits.6 MDT significantly influences the ECM, which undergoes extensive remodeling during aging and disease progression.317 By applying oscillatory mechanical forces, MDT enhances the activity of matrix-degrading enzymes, such as MMPs, promoting ECM turnover and reducing stiffness.43 This mechanochemical remodeling of the ECM restores tissue elasticity and reestablishes a supportive microenvironment for cellular function and tissue repair. MDT also improves drug penetration by modulating tumor stiffness and interstitial fluid pressure, enhancing nanoparticle distribution and reducing systemic toxicity.318 The stiffness of the tumor ECM often poses a significant barrier to effective drug delivery in glioblastoma treatment, limiting the penetration of conventional therapeutics.318 However, drug-loaded nanocarriers have been engineered to improve their ability to navigate through the dense tumor ECM.318 By optimizing the size and mechanical properties of these nanoparticles, it is possible to enhance their penetration and deliver chemotherapeutic agents more effectively to tumor cells.318 This approach addresses the challenges posed by the rigid ECM, as the nanocarriers are specifically designed to traverse and remodel ECM, improving the efficiency of drug delivery. This can significantly improve therapeutic outcomes, increasing drug accumulation in the tumor by 50% compared to conventional therapies.318 This mechanobiological strategy restores cellular function within tumor tissues, ultimately promoting cellular rejuvenation and improving responses to treatment.318 This approach has been particularly effective in enhancing chemotherapeutic efficacy and restoring vascular integrity in aged tissues.319
MDT enhances the penetration and distribution of chemotherapeutic agents by modulating tumor stiffness and interstitial fluid pressure. In bone tissue engineering, cyclic mechanical loading of MSC-seeded scaffolds at 1 Hz increased osteogenic differentiation markers such as alkaline phosphatase activity by 50% and calcium deposition by 60% over 3 weeks.320 MSCs are critical for tissue regeneration, and their differentiation can be significantly influenced by environmental mechanical properties.320 Scaffolds designed with engineered elasticity and topography can enhance the osteogenic differentiation of MSCs, thereby contributing to cellular rejuvenation.320 When MSCs were cultured on soft scaffolds with a Young's modulus of approximately 2 kPa, calcium signaling was activated, promoting their differentiation into osteogenic cells.320 This mechanotransduction process was pivotal for restoring the differentiation capacity of the stem cells, which is essential for tissue regeneration. Osteogenic markers increased by 30% compared to cells grown on stiffer substrates, demonstrating how mechanical cues in the form of scaffold stiffness can directly influence cellular rejuvenation.320 This approach underscores the importance of mechanobiology in guiding stem cell fate and enhancing tissue regeneration, making it a powerful tool for therapeutic strategies aimed at rejuvenating aging tissues.320 Similarly, in cardiac tissue repair, MDT utilizing pulsatile mechanical stretch improved the alignment and contractile function of engineered cardiac patches, enhancing their integration with the host myocardium and restoring 45% of the baseline cardiac output in preclinical models of myocardial infarction321 (Fig. 7).
FIG. 7.
Cellular rejuvenation strategy. Molecular mechanisms—including antioxidant and anti-inflammatory pathways, metabolic energy production, mTOR signaling, and nanoparticle-CRISPR-Cas9-based therapies—are depicted. The TLR2-Nrf2 and CD163-Nrf2 pathways promote tissue regeneration by reducing oxidative stress and modulating anti-inflammatory responses. Glucose metabolism through glycolysis, the TCA cycle, and alcohol fermentation optimize energy production and NAD+ synthesis. mTORC1 and mTORC2 regulate cell growth and survival through amino acid signaling, whereas nanoparticles enhance targeted delivery, and CRISPR-Cas9 restores cellular functions at the genetic level.
VI. PERSPECTIVES AND CLOSING REMARKS
Mechanotransduction has provided valuable insights into the biological mechanisms that drive aging and the potential for rejuvenation. This review has highlighted the intricate interplay between mechanical forces and cellular signaling pathways—not only in driving the aging process, but also in revealing novel therapeutic opportunities. By modulating mechanical environments and targeting key pathways such as Hippo/YAP, mTOR, and TGF-β/Smad, the burgeoning field of mechanomedicine aims to restore cellular homeostasis and tissue integrity. Emerging technologies, including mechanochemical therapies, nanoparticle systems, and ECM remodeling, have highlighted the therapeutic potential of integrating biomechanical strategies with aging interventions. These approaches offer promising avenues for mitigating age-related diseases, enhancing tissue regeneration, and extending lifespans.
Future research should prioritize the translation of mechanotransduction-based findings into clinical applications. Integrating machine learning with mechanobiological approaches can accelerate the identification of novel therapeutic targets, thereby enabling precision medicine for patients with age-related diseases. Multidisciplinary efforts combining biomechanics, regenerative medicine, and molecular biology are essential for developing targeted and noninvasive therapies. In addition, addressing challenges such as delivery mechanisms, treatment specificity, and long-term efficacy is critical for translating these therapies from the experimental stages to practical solutions. Mechanotransduction represents a paradigm shift in our understanding of aging and its treatment. By leveraging these intrinsic mechanical properties and pathways, we can decelerate the aging process and redefine the strategies used to enhance the quality of life of aging populations. Therefore, mechanomedicine is a promising frontier in the pursuit of healthier and more resilient societies.
ACKNOWLEDGMENTS
The authors thank the members of the Applied Mechanobiology Group (AMG) at Korea University for their constructive discussions on cellular mechanobiology. This study was supported by the KU-KIST Graduate School of Converging Science and Technology.
D.K. was supported by the National Research Foundation of Korea (NRF-2022M3H4A1A03067401, 2V10330-24-P039, RS-2023-00251315, RS-2023-00221182, and RS-2024-00507251) and the Ministry of Science and ICT (MSIT), South Korea, under the ICT Creative Consilience Program (IITP-2025-RS-2020-II201819) and supervised by the Institute of Information & Communications Technology Planning & Evaluation (IITP).
Note: This paper is part of the Special Topic on Mechanomedicine.
AUTHOR DECLARATIONS
Conflict of Interest
The authors have no conflicts to disclose.
Author Contributions
Hye-Min Han: Data curation (lead); Formal analysis (lead); Investigation (equal); Visualization (lead); Writing – original draft (lead); Writing – review & editing (lead). Su-Yeon Kim: Investigation (supporting); Visualization (supporting); Writing – original draft (supporting); Writing – review & editing (supporting). Dong-Hwee Kim: Conceptualization (lead); Funding acquisition (lead); Investigation (equal); Project administration (lead); Supervision (lead); Writing – original draft (supporting); Writing – review & editing (supporting).
DATA AVAILABILITY
The data that support the findings of this study are available within the article.
References
- 1.Discher D. E., Janmey P., and Wang Y. L., “Tissue cells feel and respond to the stiffness of their substrate,” Science 310, 1139–1143 (2005). 10.1126/science.1116995 [DOI] [PubMed] [Google Scholar]
- 2.Lopez-Otin C., Blasco M. A., Partridge L., Serrano M., and Kroemer G., “The hallmarks of aging,” Cell 153, 1194–1217 (2013). 10.1016/j.cell.2013.05.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Humphrey J. D., Dufresne E. R., and Schwartz M. A., “Mechanotransduction and extracellular matrix homeostasis,” Nat. Rev. Mol. Cell Biol. 15, 802–812 (2014). 10.1038/nrm3896 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ingber D. E., “Mechanical control of tissue morphogenesis during embryological development,” Int. J. Dev. Biol. 50, 255–266 (2006). 10.1387/ijdb.052044di [DOI] [PubMed] [Google Scholar]
- 5.Lammerding J. et al. , “Lamin A/C deficiency causes defective nuclear mechanics and mechanotransduction,” J. Clin. Invest. 113, 370–378 (2004). 10.1172/JCI200419670 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Jaalouk D. E. and Lammerding J., “Mechanotransduction gone awry,” Nat. Rev. Mol. Cell Biol. 10, 63–73 (2009). 10.1038/nrm2597 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Panciera T., Azzolin L., Cordenonsi M., and Piccolo S., “Mechanobiology of YAP and TAZ in physiology and disease,” Nat. Rev. Mol. Cell Biol. 18, 758–770 (2017). 10.1038/nrm.2017.87 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Maycas M., Esbrit P., and Gortazar A. R., “Molecular mechanisms in bone mechanotransduction,” Histol. Histopathol. 32, 751–760 (2017). 10.14670/HH-11-858 [DOI] [PubMed] [Google Scholar]
- 9.Elosegui-Artola A. et al. , “Force triggers YAP nuclear entry by regulating transport across nuclear pores,” Cell 171, 1397–1410.e1314 (2017). 10.1016/j.cell.2017.10.008 [DOI] [PubMed] [Google Scholar]
- 10.Khacho M. et al. , “Mitochondrial dynamics impacts stem cell identity and fate decisions by regulating a nuclear transcriptional program,” Cell Stem Cell 19, 232–247 (2016). 10.1016/j.stem.2016.04.015 [DOI] [PubMed] [Google Scholar]
- 11.Pienta K. J. and Coffey D. S., “Characterization of the subtypes of cell motility in ageing human skin fibroblasts,” Mech. Ageing Dev. 56, 99–105 (1990). 10.1016/0047-6374(90)90001-V [DOI] [PubMed] [Google Scholar]
- 12.Phillip J. M. et al. , “Fractional re-distribution among cell motility states during ageing,” Commun. Biol. 4, 81 (2021). 10.1038/s42003-020-01605-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Herrington W., Lacey B., Sherliker P., Armitage J., and Lewington S., “Epidemiology of atherosclerosis and the potential to reduce the global burden of atherothrombotic disease,” Circ. Res. 118, 535–546 (2016). 10.1161/CIRCRESAHA.115.307611 [DOI] [PubMed] [Google Scholar]
- 14.Petersen R. C. and Morris J. C., “Mild cognitive impairment as a clinical entity and treatment target,” Arch. Neurol. 62, 1160–1163 (2005). 10.1001/archneur.62.7.1160 [DOI] [PubMed] [Google Scholar]
- 15.Wells R. G., “The role of matrix stiffness in regulating cell behavior,” Hepatology 47, 1394–1400 (2008). 10.1002/hep.22193 [DOI] [PubMed] [Google Scholar]
- 16.Sehgel N. L. et al. , “Augmented vascular smooth muscle cell stiffness and adhesion when hypertension is superimposed on aging,” Hypertension 65, 370–377 (2015). 10.1161/HYPERTENSIONAHA.114.04456 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Engler A. J., Sen S., Sweeney H. L., and Discher D. E., “Matrix elasticity directs stem cell lineage specification,” Cell 126, 677–689 (2006). 10.1016/j.cell.2006.06.044 [DOI] [PubMed] [Google Scholar]
- 18.Margadant C. and Sonnenberg A., “Integrin-TGF-β crosstalk in fibrosis, cancer and wound healing,” EMBO Rep. 11, 97–105 (2010). 10.1038/embor.2009.276 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Liu M., Qin Y., Liu J., Tanswell A. K., and Post M., “Mechanical strain induces pp60src activation and translocation to cytoskeleton in fetal rat lung cells,” J. Biol. Chem. 271, 7066–7071 (1996). 10.1074/jbc.271.12.7066 [DOI] [PubMed] [Google Scholar]
- 20.Starr D. A. and Fridolfsson H. N., “Interactions between nuclei and the cytoskeleton are mediated by SUN-KASH nuclear-envelope bridges,” Annu. Rev. Cell Dev. Biol. 26, 421–444 (2010). 10.1146/annurev-cellbio-100109-104037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Trubelja A. and Bao G., “Molecular mechanisms of mechanosensing and mechanotransduction in living cells,” Extreme Mech. Lett. 20, 91–98 (2018). 10.1016/j.eml.2018.01.011 [DOI] [Google Scholar]
- 22.Levental K. R. et al. , “Matrix crosslinking forces tumor progression by enhancing integrin signaling,” Cell 139, 891–906 (2009). 10.1016/j.cell.2009.10.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Maniotis A. J., Chen C. S., and Ingber D. E., “Demonstration of mechanical connections between integrins, cytoskeletal filaments, and nucleoplasm that stabilize nuclear structure,” Proc. Natl. Acad. Sci. U. S. A. 94, 849–854 (1997). 10.1073/pnas.94.3.849 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Coste B. et al. , “Piezo1 and Piezo2 are essential components of distinct mechanically activated cation channels,” Science 330, 55–60 (2010). 10.1126/science.1193270 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Irianto J., Pfeifer C. R., Xia Y., and Discher D. E., “SnapShot: Mechanosensing matrix,” Cell 165, 1820–1820 e1821 (2016). 10.1016/j.cell.2016.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Dupont S. et al. , “Role of YAP/TAZ in mechanotransduction,” Nature 474, 179–183 (2011). 10.1038/nature10137 [DOI] [PubMed] [Google Scholar]
- 27.Uhler C. and Shivashankar G. V., “Regulation of genome organization and gene expression by nuclear mechanotransduction,” Nat. Rev. Mol. Cell Biol. 18, 717–727 (2017). 10.1038/nrm.2017.101 [DOI] [PubMed] [Google Scholar]
- 28.Finkel T. and Holbrook N. J., “Oxidants, oxidative stress and the biology of ageing,” Nature 408, 239–247 (2000). 10.1038/35041687 [DOI] [PubMed] [Google Scholar]
- 29.Eble J. A. and de Rezende F. F., “Redox-relevant aspects of the extracellular matrix and its cellular contacts via integrins,” Antioxidants Redox Signal. 20, 1977–1993 (2014). 10.1089/ars.2013.5294 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Liddington R. C. and Ginsberg M. H., “Integrin activation takes shape,” J. Cell Biol. 158, 833–839 (2002). 10.1083/jcb.200206011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Liu S., Calderwood D. A., and Ginsberg M. H., “Integrin cytoplasmic domain-binding proteins,” J. Cell Sci. 113(Pt 20), 3563–3571 (2000). 10.1242/jcs.113.20.3563 [DOI] [PubMed] [Google Scholar]
- 32.Minin A. A. et al. , “Regulation of mitochondria distribution by RhoA and formins,” J. Cell Sci. 119, 659–670 (2006). 10.1242/jcs.02762 [DOI] [PubMed] [Google Scholar]
- 33.Osborn-Heaford H. L. et al. , “Mitochondrial Rac1 GTPase import and electron transfer from cytochrome c are required for pulmonary fibrosis,” J. Biol. Chem. 287, 3301–3312 (2012). 10.1074/jbc.M111.308387 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Paszek M. J. and Weaver V. M., “The tension mounts: Mechanics meets morphogenesis and malignancy,” J. Mammary Gland Biol. Neoplasia 9, 325–342 (2004). 10.1007/s10911-004-1404-x [DOI] [PubMed] [Google Scholar]
- 35.Munoz-Espin D. and Serrano M., “Cellular senescence: From physiology to pathology,” Nat. Rev. Mol. Cell Biol. 15, 482–496 (2014). 10.1038/nrm3823 [DOI] [PubMed] [Google Scholar]
- 36.Zieman S. J., Melenovsky V., and Kass D. A., “Mechanisms, pathophysiology, and therapy of arterial stiffness,” Arteriosclerosis Thromb. Vasc. Biol. 25, 932–943 (2005). 10.1161/01.ATV.0000160548.78317.29 [DOI] [PubMed] [Google Scholar]
- 37.Eyre D. R., Weis M. A., and Wu J. J., “Advances in collagen cross-link analysis,” Methods 45, 65–74 (2008). 10.1016/j.ymeth.2008.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Swift J. et al. , “Nuclear lamin-A scales with tissue stiffness and enhances matrix-directed differentiation,” Science 341, 1240104 (2013). 10.1126/science.1240104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Campisi J. and d'Adda di Fagagna F., “Cellular senescence: When bad things happen to good cells,” Nat. Rev. Mol. Cell Biol. 8, 729–740 (2007). 10.1038/nrm2233 [DOI] [PubMed] [Google Scholar]
- 40.Archibong A. E., Rideout M. L., Harris K. J., and Ramesh A., “Oxidative stress in reproductive toxicology,” Curr. Opin. Toxicol. 7, 95–101 (2018). 10.1016/j.cotox.2017.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Brand M. D., “Mitochondrial generation of superoxide and hydrogen peroxide as the source of mitochondrial redox signaling,” Free Radical Biol. Med. 100, 14–31 (2016). 10.1016/j.freeradbiomed.2016.04.001 [DOI] [PubMed] [Google Scholar]
- 42.Chakravarti D., LaBella K. A., and DePinho R. A., “Telomeres: History, health, and hallmarks of aging,” Cell 184, 306–322 (2021). 10.1016/j.cell.2020.12.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Cox T. R. and Erler J. T., “Remodeling and homeostasis of the extracellular matrix: Implications for fibrotic diseases and cancer,” Dis. Model Mech. 4, 165–178 (2011). 10.1242/dmm.004077 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Kirkwood T. B., “Understanding the odd science of aging,” Cell 120, 437–447 (2005). 10.1016/j.cell.2005.01.027 [DOI] [PubMed] [Google Scholar]
- 45.Zhang F. et al. , “Tissue-specific landscape of metabolic dysregulation during ageing,” Biomolecules 11, 235 (2021). 10.3390/biom11020235 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Uddin G. M. et al. , “Impaired branched chain amino acid oxidation contributes to cardiac insulin resistance in heart failure,” Cardiovasc. Diabetol. 18, 86 (2019). 10.1186/s12933-019-0892-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Pauwels L., Maes C., and Swinnen S. P., “Aging, inhibition and GABA,” Aging 10, 3645–3646 (2018). 10.18632/aging.101696 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Liu Z. et al. , “Cross-species metabolomic analysis identifies uridine as a potent regeneration promoting factor,” Cell Discov. 8, 6 (2022). 10.1038/s41421-021-00361-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Sturm G. et al. , “OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases,” Commun. Biol. 6, 22 (2023). 10.1038/s42003-022-04303-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Salminen A., Kaarniranta K., and Kauppinen A., “Inflammaging: Disturbed interplay between autophagy and inflammasomes,” Aging 4, 166–175 (2012). 10.18632/aging.100444 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Franceschi C. et al. , “Inflammaging and anti-inflammaging: A systemic perspective on aging and longevity emerged from studies in humans,” Mech. Ageing Dev. 128, 92–105 (2007). 10.1016/j.mad.2006.11.016 [DOI] [PubMed] [Google Scholar]
- 52.Franceschi C., Garagnani P., Parini P., Giuliani C., and Santoro A., “Inflammaging: A new immune-metabolic viewpoint for age-related diseases,” Nat. Rev. Endocrinol. 14, 576–590 (2018). 10.1038/s41574-018-0059-4 [DOI] [PubMed] [Google Scholar]
- 53.Green D. R., Galluzzi L., and Kroemer G., “Mitochondria and the autophagy-inflammation-cell death axis in organismal aging,” Science 333, 1109–1112 (2011). 10.1126/science.1201940 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Cruz C. M. et al. , “ATP activates a reactive oxygen species-dependent oxidative stress response and secretion of proinflammatory cytokines in macrophages,” J. Biol. Chem. 282, 2871–2879 (2007). 10.1074/jbc.M608083200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Zhou R., Tardivel A., Thorens B., Choi I., and Tschopp J., “Thioredoxin-interacting protein links oxidative stress to inflammasome activation,” Nat. Immunol. 11, 136–140 (2010). 10.1038/ni.1831 [DOI] [PubMed] [Google Scholar]
- 56.Zhou R., Yazdi A. S., Menu P., and Tschopp J., “A role for mitochondria in NLRP3 inflammasome activation,” Nature 469, 221–225 (2011). 10.1038/nature09663 [DOI] [PubMed] [Google Scholar]
- 57.Savage C. D., Lopez-Castejon G., Denes A., and Brough D., “NLRP3-inflammasome activating DAMPs stimulate an inflammatory response in glia in the absence of priming which contributes to brain inflammation after injury,” Front. Immun. 3, 288 (2012). 10.3389/fimmu.2012.00288 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Rajamaki K. et al. , “Cholesterol crystals activate the NLRP3 inflammasome in human macrophages: A novel link between cholesterol metabolism and inflammation,” PLoS One 5, e11765 (2010). 10.1371/journal.pone.0011765 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Masters S. L. and O'Neill L. A., “Disease-associated amyloid and misfolded protein aggregates activate the inflammasome,” Trends Mol. Med. 17, 276–282 (2011). 10.1016/j.molmed.2011.01.005 [DOI] [PubMed] [Google Scholar]
- 60.Ou M. Y., Zhang H., Tan P. C., Zhou S. B., and Li Q. F., “Adipose tissue aging: Mechanisms and therapeutic implications,” Cell Death Dis. 13, 300 (2022). 10.1038/s41419-022-04752-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Kuk J. L., Saunders T. J., Davidson L. E., and Ross R., “Age-related changes in total and regional fat distribution,” Ageing Res. Rev. 8, 339–348 (2009). 10.1016/j.arr.2009.06.001 [DOI] [PubMed] [Google Scholar]
- 62.Raguso C. A. et al. , “A 3-year longitudinal study on body composition changes in the elderly: Role of physical exercise,” Clin. Nutr. 25, 573–580 (2006). 10.1016/j.clnu.2005.10.013 [DOI] [PubMed] [Google Scholar]
- 63.Russell S. J. and Kahn C. R., “Endocrine regulation of ageing,” Nat. Rev. Mol. Cell Biol. 8, 681–691 (2007). 10.1038/nrm2234 [DOI] [PubMed] [Google Scholar]
- 64.Schipper B. M., Marra K. G., Zhang W., Donnenberg A. D., and Rubin J. P., “Regional anatomic and age effects on cell function of human adipose-derived stem cells,” Ann. Plast. Surg. 60, 538–544 (2008). 10.1097/SAP.0b013e3181723bbe [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Kirkland J. L., Tchkonia T., Pirtskhalava T., Han J., and Karagiannides I., “Adipogenesis and aging: Does aging make fat go MAD?,” Exp. Gerontol. 37, 757–767 (2002). 10.1016/S0531-5565(02)00014-1 [DOI] [PubMed] [Google Scholar]
- 66.Birch J. and Gil J., “Senescence and the SASP: Many therapeutic avenues,” Genes Dev. 34, 1565–1576 (2020). 10.1101/gad.343129.120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Kubben N. et al. , “Repression of the antioxidant NRF2 pathway in premature aging,” Cell 165, 1361–1374 (2016). 10.1016/j.cell.2016.05.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Mittal M., Siddiqui M. R., Tran K., Reddy S. P., and Malik A. B., “Reactive oxygen species in inflammation and tissue injury,” Antioxid. Redox Signaling 20, 1126–1167 (2014). 10.1089/ars.2012.5149 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Moss S. F. and Blaser M. J., “Mechanisms of disease: Inflammation and the origins of cancer,” Nat. Rev. Clin. Oncol. 2, 90–97 (2005). 10.1038/ncponc0081 [DOI] [PubMed] [Google Scholar]
- 70.Sun N., Youle R. J., and Finkel T., “The mitochondrial basis of aging,” Mol. Cell 61, 654–666 (2016). 10.1016/j.molcel.2016.01.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Zhu Y. et al. , “Matrix stiffness modulates the differentiation of neural crest stem cells in vivo,” J. Cell. Physiol. 234, 7569–7578 (2019). 10.1002/jcp.27518 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Shih Y. R., Tseng K. F., Lai H. Y., Lin C. H., and Lee O. K., “Matrix stiffness regulation of integrin-mediated mechanotransduction during osteogenic differentiation of human mesenchymal stem cells,” J. Bone Miner. Res. 26, 730–738 (2011). 10.1002/jbmr.278 [DOI] [PubMed] [Google Scholar]
- 73.Mattson M. P. and Arumugam T. V., “Hallmarks of brain aging: Adaptive and pathological modification by metabolic states,” Cell Metab. 27, 1176–1199 (2018). 10.1016/j.cmet.2018.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Lin M. T. and Beal M. F., “Mitochondrial dysfunction and oxidative stress in neurodegenerative diseases,” Nature 443, 787–795 (2006). 10.1038/nature05292 [DOI] [PubMed] [Google Scholar]
- 75.Lammerding J., “Mechanics of the nucleus,” Compr. Physiol. 1, 783–807 (2011). 10.1002/j.2040-4603.2011.tb00343.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Xia Y. et al. , “Nuclear rupture at sites of high curvature compromises retention of DNA repair factors,” J. Cell Biol. 217, 3796–3808 (2018). 10.1083/jcb.201711161 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Cao K. et al. , “Progerin and telomere dysfunction collaborate to trigger cellular senescence in normal human fibroblasts,” J. Clin. Invest. 121, 2833–2844 (2011). 10.1172/JCI43578 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Verdin E., “NAD+ in aging, metabolism, and neurodegeneration,” Science 350, 1208–1213 (2015). 10.1126/science.aac4854 [DOI] [PubMed] [Google Scholar]
- 79.Li W. and Sauve A. A., “NAD+ content and its role in mitochondria,” Methods Mol. Biol. 1241, 39–48 (2015). 10.1007/978-1-4939-1875-1_4 [DOI] [PubMed] [Google Scholar]
- 80.Song P., Zhao Q., and Zou M. H., “Targeting senescent cells to attenuate cardiovascular disease progression,” Ageing Res. Rev. 60, 101072 (2020). 10.1016/j.arr.2020.101072 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Lu H. et al. , “Fibroblast growth factor 21 (FGF21) alleviates senescence, apoptosis, and extracellular matrix degradation in osteoarthritis via the SIRT1-mTOR signaling pathway,” Cell Death Dis. 12, 865 (2021). 10.1038/s41419-021-04157-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Tan A., Prasad R., Lee C., and Jho E. H., “Past, present, and future perspectives of transcription factor EB (TFEB): Mechanisms of regulation and association with disease,” Cell Death Differ. 29, 1433–1449 (2022). 10.1038/s41418-022-01028-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Calvo F. et al. , “Mechanotransduction and YAP-dependent matrix remodelling is required for the generation and maintenance of cancer-associated fibroblasts,” Nat. Cell Biol. 15, 637–646 (2013). 10.1038/ncb2756 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Walton K. L., Johnson K. E., and Harrison C. A., “Targeting TGF-β mediated SMAD signaling for the prevention of fibrosis,” Front. Pharmacol. 8, 461 (2017). 10.3389/fphar.2017.00461 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Iijima H. et al. , “Age-related matrix stiffening epigenetically regulates α-Klotho expression and compromises chondrocyte integrity,” Nat. Commun. 14, 18 (2023). 10.1038/s41467-022-35359-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Jung S. H. et al. , “Integrin α6β4-Src-AKT signaling induces cellular senescence by counteracting apoptosis in irradiated tumor cells and tissues,” Cell Death Differ. 26, 245–259 (2019). 10.1038/s41418-018-0114-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Ortega A. et al. , “The YAP/TAZ signaling pathway in the tumor microenvironment and carcinogenesis: Current knowledge and therapeutic promises,” Int. J. Mol. Sci. 23, 430 (2021). 10.3390/ijms23010430 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Totaro A., Panciera T., and Piccolo S., “YAP/TAZ upstream signals and downstream responses,” Nat. Cell Biol. 20, 888–899 (2018). 10.1038/s41556-018-0142-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Sladitschek-Martens H. L. et al. , “YAP/TAZ activity in stromal cells prevents ageing by controlling cGAS-STING,” Nature 607, 790–798 (2022). 10.1038/s41586-022-04924-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Yu L. and Liu P., “Cytosolic DNA sensing by cGAS: Regulation, function, and human diseases,” Sig. Transduct. Target. Ther. 6, 170 (2021). 10.1038/s41392-021-00554-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Fraga M. F. and Esteller M., “Epigenetics and aging: The targets and the marks,” Trends Genet. 23, 413–418 (2007). 10.1016/j.tig.2007.05.008 [DOI] [PubMed] [Google Scholar]
- 92.Han S. and Brunet A., “Histone methylation makes its mark on longevity,” Trends Cell Biol. 22, 42–49 (2012). 10.1016/j.tcb.2011.11.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Tsurumi A. and Li W. X., “Global heterochromatin loss: A unifying theory of aging?,” Epigenetics 7, 680–688 (2012). 10.4161/epi.20540 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Boulias K. and Horvitz H. R., “The C. elegans microRNA mir-71 acts in neurons to promote germline-mediated longevity through regulation of DAF-16/FOXO,” Cell Metab. 15, 439–450 (2012). 10.1016/j.cmet.2012.02.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Molofsky A. V. et al. , “Increasing p16INK4a expression decreases forebrain progenitors and neurogenesis during ageing,” Nature 443, 448–452 (2006). 10.1038/nature05091 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Gruber R. et al. , “Fracture healing in the elderly patient,” Exp. Gerontol. 41, 1080–1093 (2006). 10.1016/j.exger.2006.09.008 [DOI] [PubMed] [Google Scholar]
- 97.Rossi D. J. et al. , “Deficiencies in DNA damage repair limit the function of haematopoietic stem cells with age,” Nature 447, 725–729 (2007). 10.1038/nature05862 [DOI] [PubMed] [Google Scholar]
- 98.Shaw A. C., Joshi S., Greenwood H., Panda A., and Lord J. M., “Aging of the innate immune system,” Curr. Opin. Immunol. 22, 507–513 (2010). 10.1016/j.coi.2010.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Conboy I. M. and Rando T. A., “Heterochronic parabiosis for the study of the effects of aging on stem cells and their niches,” Cell Cycle 11, 2260–2267 (2012). 10.4161/cc.20437 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Lee B. Y. et al. , “Senescence-associated β-galactosidase is lysosomal β-galactosidase,” Aging Cell 5, 187–195 (2006). 10.1111/j.1474-9726.2006.00199.x [DOI] [PubMed] [Google Scholar]
- 101.Dimri G. P. et al. , “A biomarker that identifies senescent human cells in culture and in aging skin in vivo,” Proc. Natl. Acad. Sci. U. S. A. 92, 9363–9367 (1995). 10.1073/pnas.92.20.9363 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Lukasova E., Kovarik A., and Kozubek S., “Consequences of Lamin B1 and Lamin B receptor downregulation in senescence,” Cells 7, 11 (2018). 10.3390/cells7020011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Dreesen O. et al. , “Lamin B1 fluctuations have differential effects on cellular proliferation and senescence,” J. Cell Biol. 200, 605–617 (2013). 10.1083/jcb.201206121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Vousden K. H. and Lane D. P., “p53 in health and disease,” Nat. Rev. Mol. Cell Biol. 8, 275–283 (2007). 10.1038/nrm2147 [DOI] [PubMed] [Google Scholar]
- 105.Chipuk J. E., Bouchier-Hayes L., Kuwana T., Newmeyer D. D., and Green D. R., “PUMA couples the nuclear and cytoplasmic proapoptotic function of p53,” Science 309, 1732–1735 (2005). 10.1126/science.1114297 [DOI] [PubMed] [Google Scholar]
- 106.Riley T., Sontag E., Chen P., and Levine A., “Transcriptional control of human p53-regulated genes,” Nat. Rev. Mol. Cell Biol. 9, 402–412 (2008). 10.1038/nrm2395 [DOI] [PubMed] [Google Scholar]
- 107.Liu B., Chen Y., and St Clair D. K., “ROS and p53: A versatile partnership,” Free Radic. Biol. Med. 44, 1529–1535 (2008). 10.1016/j.freeradbiomed.2008.01.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Yosef R. et al. , “p21 maintains senescent cell viability under persistent DNA damage response by restraining JNK and caspase signaling,” EMBO J. 36, 2280–2295 (2017). 10.15252/embj.201695553 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Engeland K., “Cell cycle regulation: P 53-p21-RB signaling,” Cell Death Differ. 29, 946–960 (2022). 10.1038/s41418-022-00988-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.van Deursen J. M., “The role of senescent cells in ageing,” Nature 509, 439–446 (2014). 10.1038/nature13193 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Partridge L., Fuentealba M., and Kennedy B. K., “The quest to slow ageing through drug discovery,” Nat. Rev. Drug Discov. 19, 513–532 (2020). 10.1038/s41573-020-0067-7 [DOI] [PubMed] [Google Scholar]
- 112.Dong X. et al. , “Force interacts with macromolecular structure in activation of TGF-β,” Nature 542, 55–59 (2017). 10.1038/nature21035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Hinz B., “The extracellular matrix and transforming growth factor-β1: Tale of a strained relationship,” Matrix Biol. 47, 54–65 (2015). 10.1016/j.matbio.2015.05.006 [DOI] [PubMed] [Google Scholar]
- 114.Tominaga K. and Suzuki H. I., “TGF-β signaling in cellular senescence and aging-related pathology,” Int. J. Mol. Sci. 20, 5002 (2019). 10.3390/ijms20205002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Wang Q. et al. , “SMAD proteins in TGF-β signalling pathway in cancer: regulatory mechanisms and clinical applications,” Diagnostics 13, 2769 (2023). 10.3390/diagnostics13172769 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Annes J. P., Rifkin D. B., and Munger J. S., “The integrin αVβ6 binds and activates latent TGFβ3,” FEBS Lett. 511, 65–68 (2002). 10.1016/S0014-5793(01)03280-X [DOI] [PubMed] [Google Scholar]
- 117.Deng Z. et al. , “TGF-β signaling in health, disease, and therapeutics,” Signal Transduct. Target. Ther. 9, 61 (2024). 10.1038/s41392-024-01764-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Wang R. et al. , “GARP regulates the bioavailability and activation of TGFβ,” Mol. Biol. Cell 23, 1129–1139 (2012). 10.1091/mbc.e11-12-1018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Zhen G. et al. , “Mechanical stress determines the configuration of TGFβ activation in articular cartilage,” Nat. Commun. 12, 1706 (2021). 10.1038/s41467-021-21948-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Zhang Y. E., “Mechanistic insight into contextual TGF-β signaling,” Curr. Opin. Cell Biol. 51, 1–7 (2018). 10.1016/j.ceb.2017.10.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Rys J. P. et al. , “Discrete spatial organization of TGFβ receptors couples receptor multimerization and signaling to cellular tension,” eLife 4, e09300 (2015). 10.7554/eLife.09300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.von Bernhardi R., Cornejo F., Parada G. E., and Eugenin J., “Role of TGFβ signaling in the pathogenesis of Alzheimer's disease,” Front. Cell. Neurosci. 9, 426 (2015). 10.3389/fncel.2015.00426 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Luterman J. D. et al. , “Cytokine gene expression as a function of the clinical progression of Alzheimer disease dementia,” Arch. Neurol. 57, 1153–1160 (2000). 10.1001/archneur.57.8.1153 [DOI] [PubMed] [Google Scholar]
- 124.Hu H. H. et al. , “New insights into TGF-β/Smad signaling in tissue fibrosis,” Chem. Biol. Interact. 292, 76–83 (2018). 10.1016/j.cbi.2018.07.008 [DOI] [PubMed] [Google Scholar]
- 125.Verrecchia F., Chu M. L., and Mauviel A., “Identification of novel TGF-β/Smad gene targets in dermal fibroblasts using a combined cDNA microarray/promoter transactivation approach,” J. Biol. Chem. 276, 17058–17062 (2001). 10.1074/jbc.M100754200 [DOI] [PubMed] [Google Scholar]
- 126.Dadlani H., Ballinger M. L., Osman N., Getachew R., and Little P. J., “Smad and p38 MAP kinase-mediated signaling of proteoglycan synthesis in vascular smooth muscle,” J. Biol. Chem. 283, 7844–7852 (2008). 10.1074/jbc.M703125200 [DOI] [PubMed] [Google Scholar]
- 127.Chen Y. et al. , “CTGF expression in mesangial cells: Involvement of SMADs, MAP kinase, and PKC,” Kidney Int. 62, 1149–1159 (2002). 10.1111/j.1523-1755.2002.kid567.x [DOI] [PubMed] [Google Scholar]
- 128.Yuan W. and Varga J., “Transforming growth factor-β repression of matrix metalloproteinase-1 in dermal fibroblasts involves Smad3,” J. Biol. Chem. 276, 38502–38510 (2001). 10.1074/jbc.M107081200 [DOI] [PubMed] [Google Scholar]
- 129.Taipale J., Saharinen J., Hedman K., and Keski-Oja J., “Latent transforming growth factor-beta 1 and its binding protein are components of extracellular matrix microfibrils,” J. Histochem. Cytochem. 44, 875–889 (1996). 10.1177/44.8.8756760 [DOI] [PubMed] [Google Scholar]
- 130.Clevers H., “Wnt/β-catenin signaling in development and disease,” Cell 127, 469–480 (2006). 10.1016/j.cell.2006.10.018 [DOI] [PubMed] [Google Scholar]
- 131.Kretzschmar K. and Clevers H., “Wnt/β-catenin signaling in adult mammalian epithelial stem cells,” Dev. Biol. 428, 273–282 (2017). 10.1016/j.ydbio.2017.05.015 [DOI] [PubMed] [Google Scholar]
- 132.Perugorria M. J. et al. , “Wnt-β-catenin signalling in liver development, health and disease,” Nat. Rev. Gastroenterol. Hepatol. 16, 121–136 (2019). 10.1038/s41575-018-0075-9 [DOI] [PubMed] [Google Scholar]
- 133.Nusse R. and Clevers H., “Wnt/β-catenin signaling, disease, and emerging therapeutic modalities,” Cell 169, 985–999 (2017). 10.1016/j.cell.2017.05.016 [DOI] [PubMed] [Google Scholar]
- 134.Liu J. et al. , “Wnt/β-catenin signalling: Function, biological mechanisms, and therapeutic opportunities,” Signal Transduct. Target. Ther. 7, 3 (2022). 10.1038/s41392-021-00762-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Hu L., Chen W., Qian A., and Li Y. P., “Wnt/β-catenin signaling components and mechanisms in bone formation, homeostasis, and disease,” Bone Res. 12, 39 (2024). 10.1038/s41413-024-00342-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Song P. et al. , “Wnt/β-catenin signaling pathway in carcinogenesis and cancer therapy,” J. Hematol. Oncol. 17, 46 (2024). 10.1186/s13045-024-01563-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Kawano Y. and Kypta R., “Secreted antagonists of the Wnt signalling pathway,” J. Cell Sci. 116, 2627–2634 (2003). 10.1242/jcs.00623 [DOI] [PubMed] [Google Scholar]
- 138.Zhao X. et al. , “Blocking the WNT/β-catenin pathway in cancer treatment: Pharmacological targets and drug therapeutic potential,” Heliyon 10, e35989 (2024). 10.1016/j.heliyon.2024.e35989 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Benham-Pyle B. W., Pruitt B. L., and Nelson W. J., “Mechanical strain induces E-cadherin-dependent Yap1 and β-catenin activation to drive cell cycle entry,” Science 348, 1024–1027 (2015). 10.1126/science.aaa4559 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Fernandes T. G., Diogo M. M., Clark D. S., Dordick J. S., and Cabral J. M., “High-throughput cellular microarray platforms: Applications in drug discovery, toxicology and stem cell research,” Trends Biotechnol. 27, 342–349 (2009). 10.1016/j.tibtech.2009.02.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Azzolin L. et al. , “YAP/TAZ incorporation in the β-catenin destruction complex orchestrates the Wnt response,” Cell 158, 157–170 (2014). 10.1016/j.cell.2014.06.013 [DOI] [PubMed] [Google Scholar]
- 142.Clevers H. and Nusse R., “Wnt/β-catenin signaling and disease,” Cell 149, 1192–1205 (2012). 10.1016/j.cell.2012.05.012 [DOI] [PubMed] [Google Scholar]
- 143.Rognoni E. and Walko G., “The roles of YAP/TAZ and the hippo pathway in healthy and diseased skin,” Cells 8, 411 (2019). 10.3390/cells8050411 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Cozzolino M., Pesaresi M. G., Gerbino V., Grosskreutz J., and Carri M. T., “Amyotrophic lateral sclerosis: New insights into underlying molecular mechanisms and opportunities for therapeutic intervention,” Antioxid. Redox Signaling 17, 1277–1330 (2012). 10.1089/ars.2011.4328 [DOI] [PubMed] [Google Scholar]
- 145.Schlegelmilch K. et al. , “Yap1 acts downstream of α-catenin to control epidermal proliferation,” Cell 144, 782–795 (2011). 10.1016/j.cell.2011.02.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Chang Y. et al. , “Mechanical strain promotes osteogenic differentiation of mesenchymal stem cells on TiO2 nanotubes substrate,” Biochem. Biophys. Res. Commun. 511, 840–846 (2019). 10.1016/j.bbrc.2019.02.145 [DOI] [PubMed] [Google Scholar]
- 147.Valon L. et al. , “Robustness of epithelial sealing is an emerging property of local ERK feedback driven by cell elimination,” Dev. Cell 56, 1700–1711 (2021). 10.1016/j.devcel.2021.05.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Gjorevski N. and Lutolf M. P., “Synthesis and characterization of well-defined hydrogel matrices and their application to intestinal stem cell and organoid culture,” Nat. Protoc. 12, 2263–2274 (2017). 10.1038/nprot.2017.095 [DOI] [PubMed] [Google Scholar]
- 149.Catalano T. et al. , “Oxidative distress induces Wnt/β-catenin pathway modulation in colorectal cancer cells: Perspectives on APC retained functions,” Cancers 13, 6045 (2021). 10.3390/cancers13236045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Saxton R. A. and Sabatini D. M., “mTOR signaling in growth, metabolism, and disease,” Cell 169, 361–371 (2017). 10.1016/j.cell.2017.03.035 [DOI] [PubMed] [Google Scholar]
- 151.Liu G. Y. and Sabatini D. M., “mTOR at the nexus of nutrition, growth, ageing and disease,” Nat. Rev. Mol. Cell Biol. 21, 183–203 (2020). 10.1038/s41580-020-0219-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Zou Z., Tao T., Li H., and Zhu X., “mTOR signaling pathway and mTOR inhibitors in cancer: Progress and challenges,” Cell Biosci. 10, 31 (2020). 10.1186/s13578-020-00396-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Li H. et al. , “Linc00707 regulates autophagy and promotes the progression of triple negative breast cancer by activation of PI3K/AKT/mTOR pathway,” Cell Death Discov. 10, 138 (2024). 10.1038/s41420-024-01906-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Yang H. et al. , “Mechanisms of mTORC1 activation by RHEB and inhibition by PRAS40,” Nature 552, 368–373 (2017). 10.1038/nature25023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Kang Y. J. et al. , “Inhibition of BCAT1-mediated cytosolic leucine metabolism regulates Th17 responses via the mTORC1-HIF1α pathway,” Exp. Mol. Med. 56, 1776–1790 (2024). 10.1038/s12276-024-01286-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Laplante M. and Sabatini D. M., “mTOR signaling in growth control and disease,” Cell 149, 274–293 (2012). 10.1016/j.cell.2012.03.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Moustafa-Kamal M. et al. , “The mTORC1/S6K/PDCD4/eIF4A axis determines outcome of mitotic arrest,” Cell Rep. 33, 108230 (2020). 10.1016/j.celrep.2020.108230 [DOI] [PubMed] [Google Scholar]
- 158.Hagiwara A. et al. , “Hepatic mTORC2 activates glycolysis and lipogenesis through Akt, glucokinase, and SREBP1c,” Cell Metab. 15, 725–738 (2012). 10.1016/j.cmet.2012.03.015 [DOI] [PubMed] [Google Scholar]
- 159.Martinez Calejman C. et al. , “mTORC2-AKT signaling to ATP-citrate lyase drives brown adipogenesis and de novo lipogenesis,” Nat. Commun. 11, 575 (2020). 10.1038/s41467-020-14430-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Hornberger T. A., “Mechanotransduction and the regulation of mTORC1 signaling in skeletal muscle,” Int. J. Biochem. Cell Biol. 43, 1267–1276 (2011). 10.1016/j.biocel.2011.05.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Spangenburg E. E., Le Roith D., Ward C. W., and Bodine S. C., “A functional insulin-like growth factor receptor is not necessary for load-induced skeletal muscle hypertrophy,” J. Physiol. 586, 283–291 (2008). 10.1113/jphysiol.2007.141507 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.O'Neil T. K., Duffy L. R., Frey J. W., and Hornberger T. A., “The role of phosphoinositide 3-kinase and phosphatidic acid in the regulation of mammalian target of rapamycin following eccentric contractions,” J. Physiol. 587, 3691–3701 (2009). 10.1113/jphysiol.2009.173609 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Hornberger T. A., Sukhija K. B., Wang X. R., and Chien S., “mTOR is the rapamycin-sensitive kinase that confers mechanically-induced phosphorylation of the hydrophobic motif site Thr(389) in p70(S6k),” FEBS Lett. 581, 4562–4566 (2007). 10.1016/j.febslet.2007.08.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Spangenburg E. E. and McBride T. A., “Inhibition of stretch-activated channels during eccentric muscle contraction attenuates p70S6K activation,” J. Appl. Physiol. 100, 129–135 (2006). 10.1152/japplphysiol.00619.2005 [DOI] [PubMed] [Google Scholar]
- 165.Chrienova Z. et al. , “Discovery of small molecule mechanistic target of rapamycin inhibitors as anti-aging and anti-cancer therapeutics,” Front. Aging Neurosci. 14, 1048260 (2022). 10.3389/fnagi.2022.1048260 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.Widjaja A. A. et al. , “Inhibition of IL-11 signalling extends mammalian healthspan and lifespan,” Nature 632, 157–165 (2024). 10.1038/s41586-024-07701-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Romani P. et al. , “Extracellular matrix mechanical cues regulate lipid metabolism through Lipin-1 and SREBP,” Nat. Cell Biol. 21, 338–347 (2019). 10.1038/s41556-018-0270-5 [DOI] [PubMed] [Google Scholar]
- 168.Tran D., Petitjean H., Chebli Y., Geitmann A., and Sharif-Naeini R., “Mechanosensitive ion channels contribute to mechanically evoked rapid leaflet movement in Mimosa pudica,” Plant Physiol. 187, 1704–1712 (2021). 10.1093/plphys/kiab333 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Zoncu R., Efeyan A., and Sabatini D. M., “mTOR: From growth signal integration to cancer, diabetes and ageing,” Nat. Rev. Mol. Cell Biol. 12, 21–35 (2011). 10.1038/nrm3025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Lopez-Otin C., Galluzzi L., Freije J. M. P., Madeo F., and Kroemer G., “Metabolic control of longevity,” Cell 166, 802–821 (2016). 10.1016/j.cell.2016.07.031 [DOI] [PubMed] [Google Scholar]
- 171.Bentzinger C. F. et al. , “Skeletal muscle-specific ablation of raptor, but not of rictor, causes metabolic changes and results in muscle dystrophy,” Cell Metab. 8, 411–424 (2008). 10.1016/j.cmet.2008.10.002 [DOI] [PubMed] [Google Scholar]
- 172.Duchemin A. L., Vignes H., and Vermot J., “Mechanically activated piezo channels modulate outflow tract valve development through the Yap1 and Klf2-Notch signaling axis,” eLife 8, e44706 (2019). 10.7554/eLife.44706 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Yang H., Hou C., Xiao W., and Qiu Y., “The role of mechanosensitive ion channels in the gastrointestinal tract,” Front. Physiol. 13, 904203 (2022). 10.3389/fphys.2022.904203 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Murphy W. L., McDevitt T. C., and Engler A. J., “Materials as stem cell regulators,” Nat. Mater. 13, 547–557 (2014). 10.1038/nmat3937 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Chiba A., Kawabata N., Yamaguchi M., Tokonami S., and Kashiwakura I., “Regulation of antioxidant stress-responsive transcription factor Nrf2 target gene in the reduction of radiation damage by the thrombocytopenia drug romiplostim,” Biol. Pharm. Bull. 43, 1876–1883 (2020). 10.1248/bpb.b20-00442 [DOI] [PubMed] [Google Scholar]
- 176.Shen-Orr S. S. et al. , “Defective signaling in the JAK-STAT pathway tracks with chronic inflammation and cardiovascular risk in aging humans,” Cell Syst. 3, 374–384 e374 (2016). 10.1016/j.cels.2016.09.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.North B. J. and Sinclair D. A., “The intersection between aging and cardiovascular disease,” Circ. Res. 110, 1097–1108 (2012). 10.1161/CIRCRESAHA.111.246876 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178.Xu M., Tchkonia T., and Kirkland J. L., “Perspective: Targeting the JAK/STAT pathway to fight age-related dysfunction,” Pharmacol. Res. 111, 152–154 (2016). 10.1016/j.phrs.2016.05.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Xu M. et al. , “JAK inhibition alleviates the cellular senescence-associated secretory phenotype and frailty in old age,” Proc. Natl. Acad. Sci. U. S. A. 112, E6301–6310 (2015). 10.1073/pnas.1515386112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Askari H., Sadeghinejad M., and Fancher I. S., “Mechanotransduction and the endothelial glycocalyx: Interactions with membrane and cytoskeletal proteins to transduce force,” Curr. Top. Membr. 91, 43–60 (2023). 10.1016/bs.ctm.2023.02.003 [DOI] [PubMed] [Google Scholar]
- 181.Gao Y., Dickerson J. B., Guo F., Zheng J., and Zheng Y., “Rational design and characterization of a Rac GTPase-specific small molecule inhibitor,” Proc. Natl. Acad. Sci. U. S. A. 101, 7618–7623 (2004). 10.1073/pnas.0307512101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Zhou J., Li Y. S., and Chien S., “Shear stress-initiated signaling and its regulation of endothelial function,” Arteriosclerosis Thromb. Vasc. Biol. 34, 2191–2198 (2014). 10.1161/ATVBAHA.114.303422 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.Rosso G. et al. , “Matrix stiffness mechanosensing modulates the expression and distribution of transcription factors in Schwann cells,” Bioeng. Transl. Med. 7, e10257 (2022). 10.1002/btm2.10257 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184.Hjazi A. et al. , “The cross-talk between LncRNAs and JAK-STAT signaling pathway in cancer,” Pathol. Res. Pract. 248, 154657 (2023). 10.1016/j.prp.2023.154657 [DOI] [PubMed] [Google Scholar]
- 185.Richette P. et al. , “Benefits of massive weight loss on symptoms, systemic inflammation and cartilage turnover in obese patients with knee osteoarthritis,” Ann. Rheum. Dis. 70, 139–144 (2011). 10.1136/ard.2010.134015 [DOI] [PubMed] [Google Scholar]
- 186.Liu S. et al. , “Mechanotherapy in oncology: Targeting nuclear mechanics and mechanotransduction,” Adv. Drug Delivery Rev. 194, 114722 (2023). 10.1016/j.addr.2023.114722 [DOI] [PubMed] [Google Scholar]
- 187.Lee W. J., Kim J. Y., Wu T. P., and Park L. S., “The establishment of a porcine rheumatoid arthritis model: Collagen induced arthritis minipig model,” J. Pharmacol. Sci. 132, 41–47 (2016). 10.1016/j.jphs.2016.04.012 [DOI] [PubMed] [Google Scholar]
- 188.Rodell C. B., Kaminski A. L., and Burdick J. A., “Rational design of network properties in guest-host assembled and shear-thinning hyaluronic acid hydrogels,” Biomacromolecules 14, 4125–4134 (2013). 10.1021/bm401280z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189.Pearson G. et al. , “Mitogen-activated protein (MAP) kinase pathways: Regulation and physiological functions,” Endocr. Rev. 22, 153–183 (2001). 10.1210/edrv.22.2.0428 [DOI] [PubMed] [Google Scholar]
- 190.Roux P. P. and Blenis J., “ERK and p38 MAPK-activated protein kinases: A family of protein kinases with diverse biological functions,” Microbiol. Mol. Biol. Rev. 68, 320–344 (2004). 10.1128/MMBR.68.2.320-344.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191.Lake D., Correa S. A., and Muller J., “Negative feedback regulation of the ERK1/2 MAPK pathway,” Cell. Mol. Life Sci. 73, 4397–4413 (2016). 10.1007/s00018-016-2297-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192.Anerillas C., Abdelmohsen K., and Gorospe M., “Regulation of senescence traits by MAPKs,” Geroscience 42, 397–408 (2020). 10.1007/s11357-020-00183-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193.Ferreira-Marques M., Carvalho A., Cavadas C., and Aveleira C. A., “PI3K/AKT/MTOR and ERK1/2-MAPK signaling pathways are involved in autophagy stimulation induced by caloric restriction or caloric restriction mimetics in cortical neurons,” Aging 13, 7872–7882 (2021). 10.18632/aging.202805 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Zou J. et al. , “Mechanisms shaping the role of ERK1/2 in cellular senescence (Review),” Mol. Med. Rep. 19, 759–770 (2019). 10.3892/mmr.2018.9712 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195.Zhou J. et al. “Mechanism of focal adhesion kinase mechanosensing” PLoS Comput. Biol. 11 e1004593 (2015). 10.1371/journal.pcbi.1004593 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196.Robling A. G., “Is bone's response to mechanical signals dominated by muscle forces?,” Med. Sci. Sports Exercise 41, 2044–2049 (2009). 10.1249/MSS.0b013e3181a8c702 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197.Whitney N. P., Lamb A. C., Louw T. M., and Subramanian A., “Integrin-mediated mechanotransduction pathway of low-intensity continuous ultrasound in human chondrocytes,” Ultrasound Med. Biol. 38, 1734–1743 (2012). 10.1016/j.ultrasmedbio.2012.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198.Chicurel M. E., Chen C. S., and Ingber D. E., “Cellular control lies in the balance of forces,” Curr. Opin. Cell Biol. 10, 232–239 (1998). 10.1016/S0955-0674(98)80145-2 [DOI] [PubMed] [Google Scholar]
- 199.Kolch W., “Coordinating ERK/MAPK signalling through scaffolds and inhibitors,” Nat. Rev. Mol. Cell Biol. 6, 827–837 (2005). 10.1038/nrm1743 [DOI] [PubMed] [Google Scholar]
- 200.Hwang J. H. et al. , “Extracellular matrix stiffness regulates osteogenic differentiation through MAPK activation,” PLoS One 10, e0135519 (2015). 10.1371/journal.pone.0135519 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201.Wong R. H. et al. , “A role of DNA-PK for the metabolic gene regulation in response to insulin,” Cell 136, 1056–1072 (2009). 10.1016/j.cell.2008.12.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Maillard L. et al. , “RANTES/CCL5 mediated-biological effects depend on the syndecan-4/PKCα signaling pathway,” Biol. Open 3, 995–1004 (2014). 10.1242/bio.20148227 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203.Tschumperlin D. J. and Lagares D., “Mechano-therapeutics: Targeting mechanical signaling in fibrosis and tumor stroma,” Pharmacol. Ther. 212, 107575 (2020). 10.1016/j.pharmthera.2020.107575 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204.Liu S. et al. , “Therapeutic biomaterials with liver X receptor agonists based on the horizon of material biology to regulate atherosclerotic plaque regression in situ for devices surface engineering,” Regener. Biomater. 11, rbae089 (2024). 10.1093/rb/rbae089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205.Qu X. et al. , “Cancer nanomedicine in preoperative therapeutics: Nanotechnology-enabled neoadjuvant chemotherapy, radiotherapy, immunotherapy, and phototherapy,” Bioact. Mater. 24, 136–152 (2023). 10.1016/j.bioactmat.2022.12.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206.Yu F. X. et al. , “Regulation of the Hippo-YAP pathway by G-protein-coupled receptor signaling,” Cell 187, 1563–1564 (2024). 10.1016/j.cell.2024.02.007 [DOI] [PubMed] [Google Scholar]
- 207.Zhong Z., Jiao Z., and Yu F. X., “The Hippo signaling pathway in development and regeneration,” Cell Rep. 43, 113926 (2024). 10.1016/j.celrep.2024.113926 [DOI] [PubMed] [Google Scholar]
- 208.Pan D., “The hippo signaling pathway in development and cancer,” Dev. Cell 19, 491–505 (2010). 10.1016/j.devcel.2010.09.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Fu M. et al. , “The Hippo signalling pathway and its implications in human health and diseases,” Sig. Transduct. Target. Ther. 7, 376 (2022). 10.1038/s41392-022-01191-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210.Kim W. and Jho E. H., “The history and regulatory mechanism of the Hippo pathway,” BMB Rep. 51, 106–118 (2018). 10.5483/BMBRep.2018.51.3.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211.Rausch V. and Hansen C. G., “The Hippo pathway, YAP/TAZ, and the plasma membrane,” Trends Cell Biol. 30, 32–48 (2020). 10.1016/j.tcb.2019.10.005 [DOI] [PubMed] [Google Scholar]
- 212.Kim J. Y. and Quan T., “Emerging perspectives of YAP/TAZ in human skin epidermal and dermal aging,” Ann. Dermatol. 36, 135–144 (2024). 10.5021/ad.23.156 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 213.Zhao B. et al. , “TEAD mediates YAP-dependent gene induction and growth control,” Genes Dev. 22, 1962–1971 (2008). 10.1101/gad.1664408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214.Aragona M. et al. , “A mechanical checkpoint controls multicellular growth through YAP/TAZ regulation by actin-processing factors,” Cell 154, 1047–1059 (2013). 10.1016/j.cell.2013.07.042 [DOI] [PubMed] [Google Scholar]
- 215.Meng Z., Moroishi T., and Guan K. L., “Mechanisms of Hippo pathway regulation,” Genes Dev. 30, 1–17 (2016). 10.1101/gad.274027.115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216.Piccolo S., Dupont S., and Cordenonsi M., “The biology of YAP/TAZ: Hippo signaling and beyond,” Physiol. Rev. 94, 1287–1312 (2014). 10.1152/physrev.00005.2014 [DOI] [PubMed] [Google Scholar]
- 217.Elbediwy A., Vincent-Mistiaen Z. I., and Thompson B. J., “YAP and TAZ in epithelial stem cells: A sensor for cell polarity, mechanical forces and tissue damage,” Bioessays 38, 644–653 (2016). 10.1002/bies.201600037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 218.Pefani D. E. and O'Neill E., “Hippo pathway and protection of genome stability in response to DNA damage,” FEBS J. 283, 1392–1403 (2016). 10.1111/febs.13604 [DOI] [PubMed] [Google Scholar]
- 219.Sun Y., Zhang J., and Ma L., “α-catenin. A tumor suppressor beyond adherens junctions,” Cell Cycle 13, 2334–2339 (2014). 10.4161/cc.29765 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Bonnans C., Chou J., and Werb Z., “Remodelling the extracellular matrix in development and disease,” Nat. Rev. Mol. Cell Biol. 15, 786–801 (2014). 10.1038/nrm3904 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221.Meng F. et al. , “MicroRNA-21 regulates expression of the PTEN tumor suppressor gene in human hepatocellular cancer,” Gastroenterology 133, 647–658 (2007). 10.1053/j.gastro.2007.05.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222.Fulop T. et al. , “Immunosenescence and inflamm-aging as two sides of the same coin: Friends or foes?,” Front. Immunol. 8, 1960 (2018). 10.3389/fimmu.2017.01960 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Zhu Y. et al. , “The Achilles' heel of senescent cells: From transcriptome to senolytic drugs,” Aging Cell 14, 644–658 (2015). 10.1111/acel.12344 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224.Yang J. et al. , “Cigarette smoke induces mucin hypersecretion and inflammatory response through the p66shc adaptor protein-mediated mechanism in human bronchial epithelial cells,” Mol. Immunol. 69, 86–98 (2016). 10.1016/j.molimm.2015.11.002 [DOI] [PubMed] [Google Scholar]
- 225.Tschumperlin D. J., Ligresti G., Hilscher M. B., and Shah V. H., “Mechanosensing and fibrosis,” J. Clin. Invest. 128, 74–84 (2018). 10.1172/JCI93561 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226.Kim Y. H. et al. , “Mid-old cells are a potential target for anti-aging interventions in the elderly,” Nat. Commun. 14, 7619 (2023). 10.1038/s41467-023-43491-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227.Lutolf M. P. and Hubbell J. A., “Synthetic biomaterials as instructive extracellular microenvironments for morphogenesis in tissue engineering,” Nat. Biotechnol. 23, 47–55 (2005). 10.1038/nbt1055 [DOI] [PubMed] [Google Scholar]
- 228.Place E. S., Evans N. D., and Stevens M. M., “Complexity in biomaterials for tissue engineering,” Nat. Mater. 8, 457–470 (2009). 10.1038/nmat2441 [DOI] [PubMed] [Google Scholar]
- 229.Azeloglu E. U. and Iyengar R., “Good practices for building dynamical models in systems biology,” Sci. Signal. 8, fs8 (2015). 10.1126/scisignal.aab0880 [DOI] [PubMed] [Google Scholar]
- 230.Wang H. B., Dembo M., Hanks S. K., and Wang Y., “Focal adhesion kinase is involved in mechanosensing during fibroblast migration,” Proc. Natl. Acad. Sci. U. S. A. 98, 11295–11300 (2001). 10.1073/pnas.201201198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231.Wei S. C., Fattet L., and Yang J., “The forces behind EMT and tumor metastasis,” Cell Cycle 14, 2387–2388 (2015). 10.1080/15384101.2015.1063296 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232.Discher D. E., Mooney D. J., and Zandstra P. W., “Growth factors, matrices, and forces combine and control stem cells,” Science 324, 1673–1677 (2009). 10.1126/science.1171643 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233.Wang W. et al. , “AMPK modulates Hippo pathway activity to regulate energy homeostasis,” Nat. Cell Biol. 17, 490–499 (2015). 10.1038/ncb3113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 234.Choi Y. S., Vincent L. G., Lee A. R., Dobke M. K., and Engler A. J., “Mechanical derivation of functional myotubes from adipose-derived stem cells,” Biomaterials 33, 2482–2491 (2012). 10.1016/j.biomaterials.2011.12.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235.White T. et al. , “Nanomechanics of cell-derived matrices as a functional read-out in collagen VI-related congenital muscular dystrophies,” J. R. Soc. Interface 22, 20240860 (2025). 10.1098/rsif.2024.0860 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Mi P., “Stimuli-responsive nanocarriers for drug delivery, tumor imaging, therapy and theranostics,” Theranostics 10, 4557–4588 (2020). 10.7150/thno.38069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Burton D. G. A. and Stolzing A., “Cellular senescence: Immunosurveillance and future immunotherapy,” Ageing Res. Rev. 43, 17–25 (2018). 10.1016/j.arr.2018.02.001 [DOI] [PubMed] [Google Scholar]
- 238.Fane M. and Weeraratna A. T., “How the ageing microenvironment influences tumour progression,” Nat. Rev. Cancer 20, 89–106 (2020). 10.1038/s41568-019-0222-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239.Kirkland J. L. and Tchkonia T., “Cellular senescence: A translational perspective,” eBioMedicine 21, 21–28 (2017). 10.1016/j.ebiom.2017.04.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 240.Yosef R. et al. , “Directed elimination of senescent cells by inhibition of BCL-W and BCL-XL,” Nat. Commun. 7, 11190 (2016). 10.1038/ncomms11190 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241.Sharma P. and Allison J. P., “Immune checkpoint targeting in cancer therapy: Toward combination strategies with curative potential,” Cell 161, 205–214 (2015). 10.1016/j.cell.2015.03.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 242.Egusquiaguirre S. P., Igartua M., Hernandez R. M., and Pedraz J. L., “Nanoparticle delivery systems for cancer therapy: Advances in clinical and preclinical research,” Clin. Transl. Oncol. 14, 83–93 (2012). 10.1007/s12094-012-0766-6 [DOI] [PubMed] [Google Scholar]
- 243.Kanasty R., Dorkin J. R., Vegas A., and Anderson D., “Delivery materials for siRNA therapeutics,” Nat. Mater. 12, 967–977 (2013). 10.1038/nmat3765 [DOI] [PubMed] [Google Scholar]
- 244.Frantz C., Stewart K. M., and Weaver V. M., “The extracellular matrix at a glance,” J. Cell Sci. 123, 4195–4200 (2010). 10.1242/jcs.023820 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 245.Chaudhuri O., Cooper-White J., Janmey P. A., Mooney D. J., and Shenoy V. B., “Effects of extracellular matrix viscoelasticity on cellular behaviour,” Nature 584, 535–546 (2020). 10.1038/s41586-020-2612-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 246.Cabral H., Miyata K., Osada K., and Kataoka K., “Block copolymer micelles in nanomedicine applications,” Chem. Rev. 118, 6844–6892 (2018). 10.1021/acs.chemrev.8b00199 [DOI] [PubMed] [Google Scholar]
- 247.Huebsch N. et al. , “Harnessing traction-mediated manipulation of the cell/matrix interface to control stem-cell fate,” Nat. Mater. 9, 518–526 (2010). 10.1038/nmat2732 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248.Chakravarthy A., Khan L., Bensler N. P., Bose P., and De Carvalho D. D., “TGF-β-associated extracellular matrix genes link cancer-associated fibroblasts to immune evasion and immunotherapy failure,” Nat. Commun. 9, 4692 (2018). 10.1038/s41467-018-06654-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 249.Lenzini S. et al. , “Cell-matrix interactions regulate functional extracellular vesicle secretion from mesenchymal stromal cells,” ACS Nano 15, 17439–17452 (2021). 10.1021/acsnano.1c03231 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250.Lownik J. C., Wimberly J. L., Takahashi-Ruiz L., and Martin R. K., “B cell ADAM17 controls T cell independent humoral immune responses through regulation of TACI and CD138,” Biochem. Biophys. Res. Commun. 522, 442–447 (2020). 10.1016/j.bbrc.2019.11.124 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 251.Diepolder H. and Gruener N., “Evolution of cellular immune responses to hepatitis C virus during antiretroviral therapy and its clinical implications,” Gut 59, 1167–1168 (2010). 10.1136/gut.2010.216614 [DOI] [PubMed] [Google Scholar]
- 252.Calder P. C., “Omega-3 fatty acids and inflammatory processes,” Nutrients 2, 355–374 (2010). 10.3390/nu2030355 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 253.Gorgun G., Miller K. B., and Foss F. M., “Immunologic mechanisms of extracorporeal photochemotherapy in chronic graft-versus-host disease,” Blood 100, 941–947 (2002). 10.1182/blood-2002-01-0068 [DOI] [PubMed] [Google Scholar]
- 254.Faulk D. M., Johnson S. A., Zhang L., and Badylak S. F., “Role of the extracellular matrix in whole organ engineering,” J. Cell. Physiol. 229, 984–989 (2014). 10.1002/jcp.24532 [DOI] [PubMed] [Google Scholar]
- 255.Judokusumo E., Tabdanov E., Kumari S., Dustin M. L., and Kam L. C., “Mechanosensing in T lymphocyte activation,” Biophys. J. 102, L5–L7 (2012). 10.1016/j.bpj.2011.12.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 256.Todorovski V., Fox A. H., and Choi Y. S., “Matrix stiffness-sensitive long noncoding RNA NEAT1 seeded paraspeckles in cancer cells,” Mol. Biol. Cell 31, 1654–1662 (2020). 10.1091/mbc.E20-02-0097 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 257.Chen C. S., Tan J., and Tien J., “Mechanotransduction at cell-matrix and cell-cell contacts,” Annu. Rev. Biomed. Eng. 6, 275–302 (2004). 10.1146/annurev.bioeng.6.040803.140040 [DOI] [PubMed] [Google Scholar]
- 258.Xia S. et al. , “An update on inflamm-aging: Mechanisms, prevention, and treatment,” J. Immunol. Res. 2016, 8426874. 10.1155/2016/8426874 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 259.An S. et al. , “Inhibition of 3-phosphoinositide-dependent protein kinase 1 (PDK1) can revert cellular senescence in human dermal fibroblasts,” Proc. Natl. Acad. Sci. U. S. A. 117, 31535–31546 (2020). 10.1073/pnas.1920338117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 260.Onugwu A. L. et al. , “Nanoparticle-based delivery systems as emerging therapy in retinoblastoma: Recent advances, challenges and prospects,” Nanoscale Adv. 5, 4628–4648 (2023). 10.1039/D3NA00462G [DOI] [PMC free article] [PubMed] [Google Scholar]
- 261.Bai R. and Cui J., “Mitochondrial immune regulation and anti-tumor immunotherapy strategies targeting mitochondria,” Cancer Lett. 564, 216223 (2023). 10.1016/j.canlet.2023.216223 [DOI] [PubMed] [Google Scholar]
- 262.Lin D., Zhong S., and Liu J., “Targeting mitochondrial dysfunction in MAIT cells: Potential immunotherapeutic treatment for colorectal cancer,” Med. Hypotheses 146, 110358 (2021). 10.1016/j.mehy.2020.110358 [DOI] [PubMed] [Google Scholar]
- 263.Seelige R., Searles S., and Bui J. D., “Mechanisms regulating immune surveillance of cellular stress in cancer,” Cell. Mol. Life Sci. 75, 225–240 (2018). 10.1007/s00018-017-2597-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 264.Hu Z. et al. , “Puerarin suppresses macrophage M1 polarization to alleviate renal inflammatory injury through antagonizing TLR4/MyD88-mediated NF-κB p65 and JNK/FoxO1 activation,” Phytomedicine 132, 155813 (2024). 10.1016/j.phymed.2024.155813 [DOI] [PubMed] [Google Scholar]
- 265.Kennedy B. K. et al. , “Geroscience: Linking aging to chronic disease,” Cell 159, 709–713 (2014). 10.1016/j.cell.2014.10.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 266.Szymaniak A. D. et al. , “The Hippo pathway effector YAP is an essential regulator of ductal progenitor patterning in the mouse submandibular gland,” eLife 6, e23499 (2017). 10.7554/eLife.23499 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 267.O'Conor C. J., Leddy H. A., Benefield H. C., Liedtke W. B., and Guilak F., “TRPV4-mediated mechanotransduction regulates the metabolic response of chondrocytes to dynamic loading,” Proc. Natl. Acad. Sci. U. S. A. 111, 1316–1321 (2014). 10.1073/pnas.1319569111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 268.Mora A. L. and Rojas M., “Aging and lung injury repair: A role for bone marrow derived mesenchymal stem cells,” J. Cell. Biochem. 105, 641–647 (2008). 10.1002/jcb.21890 [DOI] [PubMed] [Google Scholar]
- 269.Tzouvelekis A. et al. , “Safety and efficacy of nintedanib in idiopathic pulmonary fibrosis: A real-life observational study in Greece,” Pulm. Pharmacol. Ther. 49, 61–66 (2018). 10.1016/j.pupt.2018.01.006 [DOI] [PubMed] [Google Scholar]
- 270.Ambati J. and Fowler B. J., “Mechanisms of age-related macular degeneration,” Neuron 75, 26–39 (2012). 10.1016/j.neuron.2012.06.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 271.Scholl H. P. N., “Complement inhibition in age-related macular degeneration-treat early,” JAMA Ophthalmol. 140, 250–251 (2022). 10.1001/jamaophthalmol.2021.6068 [DOI] [PubMed] [Google Scholar]
- 272.Kenny F. N. and Connelly J. T., “Integrin-mediated adhesion and mechano-sensing in cutaneous wound healing,” Cell Tissue Res. 360, 571–582 (2015). 10.1007/s00441-014-2064-9 [DOI] [PubMed] [Google Scholar]
- 273.Smith A. R. and Hagen T. M., “Vascular endothelial dysfunction in aging: Loss of Akt-dependent endothelial nitric oxide synthase phosphorylation and partial restoration by (R)-α-lipoic acid,” Biochem. Soc. Trans. 31, 1447–1449 (2003). 10.1042/bst0311447 [DOI] [PubMed] [Google Scholar]
- 274.Thompson P. L. and Nidorf S. M., “Anti-inflammatory therapy with canakinumab for atherosclerotic disease: Lessons from the CANTOS trial,” J. Thorac. Dis. 10, 695–698 (2018). 10.21037/jtd.2018.01.119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 275.Kong Z., Hong Y., Zhu J., Cheng X., and Liu Y., “Endothelial progenitor cells improve functional recovery in focal cerebral ischemia of rat by promoting angiogenesis via VEGF,” J. Clin. Neurosci. 55, 116–121 (2018). 10.1016/j.jocn.2018.07.011 [DOI] [PubMed] [Google Scholar]
- 276.Kennedy G., Hardman R. J., Macpherson H., Scholey A. B., and Pipingas A., “How does exercise reduce the rate of age-associated cognitive decline? A review of potential mechanisms,” J. Alzheimer's Des. 55, 1–18 (2016). 10.3233/JAD-160665 [DOI] [PubMed] [Google Scholar]
- 277.Palmer A. K. and Kirkland J. L., “Aging and adipose tissue: Potential interventions for diabetes and regenerative medicine,” Exp. Gerontol. 86, 97–105 (2016). 10.1016/j.exger.2016.02.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 278.Jiang Z. et al. , “Short term treatment with a cocktail of rapamycin, acarbose and phenylbutyrate delays aging phenotypes in mice,” Sci. Rep. 12, 7300 (2022). 10.1038/s41598-022-11229-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 279.Patterson R. E. et al. , “Intermittent Fasting and Human Metabolic Health,” J. Acad. Nutr. Diet. 115, 1203–1212 (2015). 10.1016/j.jand.2015.02.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 280.Liu Y. et al. , “Soft and elastic hydrogel-based microelectronics for localized low-voltage neuromodulation,” Nat. Biomed. Eng. 3, 58–68 (2019). 10.1038/s41551-018-0335-6 [DOI] [PubMed] [Google Scholar]
- 281.Yeagle P., “Nanoparticles for drug delivery in lungs,” Science 356, 37.9–38 (2017). 10.1126/science.356.6333.37-i [DOI] [PubMed] [Google Scholar]
- 282.O'Conor C. J., Case N., and Guilak F., “Mechanical regulation of chondrogenesis,” Stem Cell Res. Ther. 4, 61 (2013). 10.1186/scrt211 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 283.Loeser R. F., Collins J. A., and Diekman B. O., “Ageing and the pathogenesis of osteoarthritis,” Nat. Rev. Rheumatol. 12, 412–420 (2016). 10.1038/nrrheum.2016.65 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 284.Goldring M. B. and Goldring S. R., “Articular cartilage and subchondral bone in the pathogenesis of osteoarthritis,” Ann. N. Y. Acad. Sci. 1192, 230–237 (2010). 10.1111/j.1749-6632.2009.05240.x [DOI] [PubMed] [Google Scholar]
- 285.Cheng J. et al. , “Engineering of MSC-derived exosomes: A promising cell-free therapy for osteoarthritis,” Membranes 12, 739 (2022). 10.3390/membranes12080739 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 286.Liang W. et al. , “Mechanical stimuli-mediated modulation of bone cell function-implications for bone remodeling and angiogenesis,” Cell Tissue Res. 386, 445–454 (2021). 10.1007/s00441-021-03532-6 [DOI] [PubMed] [Google Scholar]
- 287.Kensler T. W., Wakabayashi N., and Biswal S., “Cell survival responses to environmental stresses via the Keap1-Nrf2-ARE pathway,” Annu. Rev. Pharmacol. Toxicol. 47, 89–116 (2007). 10.1146/annurev.pharmtox.46.120604.141046 [DOI] [PubMed] [Google Scholar]
- 288.Kaur A. et al. , “Remodeling of the collagen matrix in aging skin promotes melanoma metastasis and affects immune cell motility,” Cancer Discovery 9, 64–81 (2019). 10.1158/2159-8290.CD-18-0193 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 289.Holley A. K., Bakthavatchalu V., Velez-Roman J. M., and St Clair D. K., “Manganese superoxide dismutase: Guardian of the powerhouse,” Int. J. Mol. Sci. 12, 7114–7162 (2011). 10.3390/ijms12107114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 290.Islam M. S., Parish M., Brennan J. T., Winer B. L., and Segars J. H., “Targeting fibrotic signaling pathways by EGCG as a therapeutic strategy for uterine fibroids,” Sci. Rep. 13, 8492 (2023). 10.1038/s41598-023-35212-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 291.Mitragotri S. and Lahann J., “Physical approaches to biomaterial design,” Nat. Mater. 8, 15–23 (2009). 10.1038/nmat2344 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 292.Janson I. A. and Putnam A. J., “Extracellular matrix elasticity and topography: Material-based cues that affect cell function via conserved mechanisms,” J. Biomed. Mater. Res. 103, 1246–1258 (2015). 10.1002/jbm.a.35254 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 293.Asgharzadeh F. et al. , “Nanomedicine strategies utilizing lipid-based nanoparticles for liver cancer therapy: Exploring signaling pathways and therapeutic modalities,” Adv. Pharm. Bull. 14, 513–523 (2024). 10.34172/apb.2024.061 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 294.Zhang C., Jiang G., and Gao X., “Matrix metalloproteinase-responsive drug delivery systems,” Bioconjugate Chem. 34, 1349–1365 (2023). 10.1021/acs.bioconjchem.3c00266 [DOI] [PubMed] [Google Scholar]
- 295.Zhou J. et al. , “Highly penetrative, drug-loaded nanocarriers improve treatment of glioblastoma,” Proc. Natl. Acad. Sci. U. S. A. 110, 11751–11756 (2013). 10.1073/pnas.1304504110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 296.Zhao C., Tan A., Pastorin G., and Ho H. K., “Nanomaterial scaffolds for stem cell proliferation and differentiation in tissue engineering,” Biotechnol. Adv. 31, 654–668 (2013). 10.1016/j.biotechadv.2012.08.001 [DOI] [PubMed] [Google Scholar]
- 297.Nel A. E. et al. , “Understanding biophysicochemical interactions at the nano-bio interface,” Nat. Mater. 8, 543–557 (2009). 10.1038/nmat2442 [DOI] [PubMed] [Google Scholar]
- 298.Nazief A. M., Hassaan P. S., Khalifa H. M., Sokar M. S., and El-Kamel A. H., “Lipid-based gliclazide nanoparticles for treatment of diabetes: Formulation, pharmacokinetics, pharmacodynamics and subacute toxicity study,” Int. J. Nanomed. 15, 1129–1148 (2020). 10.2147/IJN.S235290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 299.Sweeney M. D., Sagare A. P., and Zlokovic B. V., “Blood-brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders,” Nat. Rev. Neurol. 14, 133–150 (2018). 10.1038/nrneurol.2017.188 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 300.Contreras J. A. et al. , “Functional connectivity among brain regions affected in Alzheimer's disease is associated with CSF TNF-α in APOE4 carriers,” Neurobiol. Aging 86, 112–122 (2020). 10.1016/j.neurobiolaging.2019.10.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 301.Kumar R., Griffin M., and Butler P. E., “A review of current regenerative medicine strategies that utilize nanotechnology to treat cartilage damage,” Open Orthop. J. 10, 862–876 (2016). 10.2174/1874325001610010862 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 302.Fan W., Yung B., Huang P., and Chen X., “Nanotechnology for multimodal synergistic cancer therapy,” Chem. Rev. 117, 13566–13638 (2017). 10.1021/acs.chemrev.7b00258 [DOI] [PubMed] [Google Scholar]
- 303.Dong Q. et al. , “Her2-functionalized gold-nanoshelled magnetic hybrid nanoparticles: A theranostic agent for dual-modal imaging and photothermal therapy of breast cancer,” Nanoscale Res. Lett. 14, 235 (2019). 10.1186/s11671-019-3053-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 304.Cheng Q. et al. , “Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR-Cas gene editing,” Nat. Nanotechnol. 15, 313–320 (2020). 10.1038/s41565-020-0669-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 305.Bae Y., Diezi T. A., Zhao A., and Kwon G. S., “Mixed polymeric micelles for combination cancer chemotherapy through the concurrent delivery of multiple chemotherapeutic agents,” J. Control Release 122, 324–330 (2007). 10.1016/j.jconrel.2007.05.038 [DOI] [PubMed] [Google Scholar]
- 306.Shi J., Kantoff P. W., Wooster R., and Farokhzad O. C., “Cancer nanomedicine: Progress, challenges and opportunities,” Nat. Rev. Cancer 17, 20–37 (2017). 10.1038/nrc.2016.108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 307.Byrne J. D., Betancourt T., and Brannon-Peppas L., “Active targeting schemes for nanoparticle systems in cancer therapeutics,” Adv. Drug Delivery Rev. 60, 1615–1626 (2008). 10.1016/j.addr.2008.08.005 [DOI] [PubMed] [Google Scholar]
- 308.Cheng W. et al. , “pH-sensitive delivery vehicle based on folic acid-conjugated polydopamine-modified mesoporous silica nanoparticles for targeted cancer therapy,” ACS Appl. Mater. Interfaces 9, 18462–18473 (2017). 10.1021/acsami.7b02457 [DOI] [PubMed] [Google Scholar]
- 309.Jacob M. P., “Extracellular matrix remodeling and matrix metalloproteinases in the vascular wall during aging and in pathological conditions,” Biomed. Pharmacother. 57, 195–202 (2003). 10.1016/S0753-3322(03)00065-9 [DOI] [PubMed] [Google Scholar]
- 310.Yan J., Kang D. D., and Dong Y., “Harnessing lipid nanoparticles for efficient CRISPR delivery,” Biomater. Sci. 9, 6001–6011 (2021). 10.1039/D1BM00537E [DOI] [PMC free article] [PubMed] [Google Scholar]
- 311.Suk J. S., Xu Q., Kim N., Hanes J., and Ensign L. M., “PEGylation as a strategy for improving nanoparticle-based drug and gene delivery,” Adv. Drug Delivery Rev. 99, 28–51 (2016). 10.1016/j.addr.2015.09.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 312.Yin P. et al. , “Machine-learning-accelerated design of high-performance platinum intermetallic nanoparticle fuel cell catalysts,” Nat. Commun. 15, 415 (2024). 10.1038/s41467-023-44674-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 313.Zhang L. et al. , “Nanoparticles in medicine: Therapeutic applications and developments,” Clin. Pharmacol. Ther. 83, 761–769 (2008). 10.1038/sj.clpt.6100400 [DOI] [PubMed] [Google Scholar]
- 314.Garcia A. J. and Grillo J., “Robert M. Nerem - International expert on mechanobiology, cellular engineering, tissue engineering and regenerative medicine,” Regener. Ther. 15, 34 (2020). 10.1016/j.reth.2020.05.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 315.Ullrich N. et al. , “The role of mechanotransduction versus hypoxia during simulated orthodontic compressive strain-an in vitro study of human periodontal ligament fibroblasts,” Int. J. Oral Sci. 11, 33 (2019). 10.1038/s41368-019-0066-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 316.Zhao S., Liu R., Fei C., and Guan D., “Dynamic interface pressure monitoring system for the morphological pressure mapping of intermittent pneumatic compression therapy,” Sensors 19, 2881 (2019). 10.3390/s19132881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 317.Theocharis A. D., Skandalis S. S., Gialeli C., and Karamanos N. K., “Extracellular matrix structure,” Adv. Drug Delivery Rev. 97, 4–27 (2016). 10.1016/j.addr.2015.11.001 [DOI] [PubMed] [Google Scholar]
- 318.Stylianopoulos T. and Jain R. K., “Design considerations for nanotherapeutics in oncology,” Nanomedicine 11, 1893–1907 (2015). 10.1016/j.nano.2015.07.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 319.Stylianopoulos T. et al. , “Coevolution of solid stress and interstitial fluid pressure in tumors during progression: Implications for vascular collapse,” Cancer Res. 73, 3833–3841 (2013). 10.1158/0008-5472.CAN-12-4521 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 320.Viti F. et al. , “Osteogenic differentiation of MSC through calcium signaling activation: Transcriptomics and functional analysis,” PLoS One 11, e0148173 (2016). 10.1371/journal.pone.0148173 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 321.Akhyari P. et al. , “Mechanical stretch regimen enhances the formation of bioengineered autologous cardiac muscle grafts,” Circulation 106, I-137–I-142 (2002). 10.1161/01.cir.0000032893.55215.fc [DOI] [PubMed] [Google Scholar]
- 322.Rando T. A. and Chang H. Y., “Aging, rejuvenation, and epigenetic reprogramming: Resetting the aging clock,” Cell 148, 46–57 (2012). 10.1016/j.cell.2012.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 323.Hayflick L. and Moorhead P. S., “The serial cultivation of human diploid cell strains,” Exp. Cell Res. 25, 585–621 (1961). 10.1016/0014-4827(61)90192-6 [DOI] [PubMed] [Google Scholar]
- 324.Tsuchida K. and Kobayashi M., “Oxidative stress in human facial skin observed by ultraweak photon emission imaging and its correlation with biophysical properties of skin,” Sci. Rep. 10, 9626 (2020). 10.1038/s41598-020-66723-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 325.Rebehn L. et al. , “The weakness of senescent dermal fibroblasts,” Proc. Natl. Acad. Sci. U. S. A. 120, e2301880120 (2023). 10.1073/pnas.2301880120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 326.Kubben N., Brimacombe K. R., Donegan M., Li Z., and Misteli T., “A high-content imaging-based screening pipeline for the systematic identification of anti-progeroid compounds,” Methods 96, 46–58 (2016). 10.1016/j.ymeth.2015.08.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 327.Gorgoulis V. et al. , “Cellular senescence: Defining a path forward,” Cell 179, 813–827 (2019). 10.1016/j.cell.2019.10.005 [DOI] [PubMed] [Google Scholar]
- 328.Garcia-Velazquez L. and Arias C., “The emerging role of Wnt signaling dysregulation in the understanding and modification of age-associated diseases,” Ageing Res. Rev. 37, 135–145 (2017). 10.1016/j.arr.2017.06.001 [DOI] [PubMed] [Google Scholar]
- 329.Green G., Flores R., Barragan N. C., Gonzalez K., and Kuo T., “Individual and clinical factors associated with patient acceptance of referrals to social services and community resources at a multi-purpose resource hub,” Transl. Behav. Med. 15(1), ibae072 (2025). 10.1093/tbm/ibae072 [DOI] [PubMed] [Google Scholar]
- 330.Cao A. Y. et al. , “Influence of a family history of breast and/or ovarian cancer on breast cancer outcomes,” Exp. Ther. Med. 2, 917–923 (2011). 10.3892/etm.2011.275 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 331.Cao Y. and Frey H. C., “Geographic differences in inter-individual variability of human exposure to fine particulate matter,” Atmos. Environ. 45, 5684–5691 (2011). 10.1016/j.atmosenv.2011.07.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 332.Hayflick L. and Koprowski H., “Direct agar isolation of mycoplasmas from human leukaemic bone marrow,” Nature 205, 713–714 (1965). 10.1038/205713b0 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available within the article.







