# Evidence gaps in the effects of exercise on SASP-Related biomarkers in older adults: a systematic review and meta-analysis of randomized controlled trials

**Authors:** Eleuterio A. Sánchez-Romero, Oliver Martínez-Pozas, Samuel Fernández-Carnero, Álvaro Romero-Rosado, Rob Sillevis, Juan Nicolás Cuenca-Zaldívar

PMC · DOI: 10.1186/s12877-026-07025-5 · 2026-02-06

## TL;DR

This review finds no strong evidence that exercise affects key aging markers in older adults, pointing to a need for better research on specific cellular aging indicators.

## Contribution

Highlights a critical gap in studying upstream senescence markers like p16^INK4a^ and p21 in exercise research.

## Key findings

- Exercise showed no significant effect on SASP-related cytokines like CCL2, IL-6, IL-8, and TNF-α.
- No studies evaluated key upstream senescence markers such as p16^INK4a^ or p21.
- Current evidence does not support a clear impact of exercise on canonical cellular aging biomarkers.

## Abstract

Cellular senescence is a hallmark of aging, characterized by the secretion of proinflammatory factors known as the senescence-associated secretory phenotype (SASP). While physical exercise is proposed as a potential modulator of cellular aging, its effect on specific senescence biomarkers in older adults remains unclear.

We conducted a systematic review and meta-analysis following PRISMA guidelines (PROSPERO: CRD42024623676). Randomized controlled trials (RCTs) involving participants aged ≥ 60 years were included if they compared structured exercise interventions with control conditions and reported biomarkers of cellular senescence. A Bayesian meta-analysis was performed, and the risk of bias was assessed using the Cochrane RoB 2.0 tool.

Three RCTs (n = 1447; age range 66–79; 64.2% female) met the inclusion criteria. Two were eligible for meta-analysis, focusing on SASP-related cytokines (CCL2, IL-6, IL-8, TNF-α). No statistically significant differences were observed between the exercise and control groups. One excluded study reported increased SIRT levels following resistance training, but these are not standard senescence markers. Notably, none of the included RCTs evaluated key upstream markers such as p16^INK4a^ or p21, highlighting a critical gap in current research.

This review found no conclusive evidence that exercise training affects canonical markers of cellular senescence in older adults. The biomarkers analyzed were limited to SASP-related cytokines, which reflect downstream inflammation rather than primary senescence regulation. Future studies should use standardized protocols to evaluate upstream markers such as p16^INK4a^ and p21 to better understand the impact of physical activity on cellular aging.

The online version contains supplementary material available at 10.1186/s12877-026-07025-5.

## Linked entities

- **Genes:** CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029], CDKN1A (cyclin dependent kinase inhibitor 1A) [NCBI Gene 1026]

## Full-text entities

- **Genes:** PPARGC1A (PPARG coactivator 1 alpha) [NCBI Gene 10891] {aka LEM6, PGC-1(alpha), PGC-1alpha, PGC-1v, PGC1, PGC1A}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, SIRT1 (sirtuin 1) [NCBI Gene 23411] {aka SIR2, SIR2L1, SIR2alpha}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029] {aka ARF, CAI2, CDK4I, CDKN2, CMM2, INK4}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, H3P16 (H3 histone pseudogene 16) [NCBI Gene 644914] {aka H3.6, H3F3AP6, p21}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, PRKAA1 (protein kinase AMP-activated catalytic subunit alpha 1) [NCBI Gene 5562] {aka AMPK, AMPK alpha 1, AMPKa1}
- **Diseases:** metabolic dysfunction (MESH:D008659), impaired physical function (MESH:D059445), inflammation (MESH:D007249), type 2 diabetes (MESH:D003924), SASP (MESH:D008579), cardiovascular disease (MESH:D002318)
- **Chemicals:** PA (MESH:D011478)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12977871/full.md

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Source: https://tomesphere.com/paper/PMC12977871