Biologyarticle2026-10-03

Differential gut microbial signatures induced by exercise intensity and mode in aging SAMP6 mice

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Abstract

The aging population faces increased risks of metabolic and cognitive decline, with emerging evidence linking gut microbiota to exercise-mediated health benefits. Senescence-accelerated mouse prone 6 (SAMP6) exhibits early aging phenotypes, while senescence-resistant 1 (SAMR1) serves as a healthy control. Thirty-six male SAMP6 and twelve SAMR1 mice (5- and 7-month-old) were assigned to eight groups ( n = 6/group). SAMP6 mice underwent 8 weeks of treadmill training beginning at 5 months of age: low-intensity continuous (12 m/min), moderate-intensity continuous (15 m/min), high-intensity interval training (HIIT; 12/20 m/min), or progressively intensified protocol (12→15 m/min). Fecal samples were collected post-intervention for 16 S rRNA sequencing (V3–V4 region). Alpha diversity, beta diversity, and taxonomic composition were analyzed. Seven-month-old sedentary SAMR1 mice (G4) exhibited higher alpha diversity than age-matched SAMP6 controls (G3), indicating a link between microbial richness and healthy aging. HIIT significantly restructured gut microbiota composition in SAMP6 mice, characterized by enrichment of Eggerthella lenta and Lactobacillus johnsonii , increased Proteobacteria abundance without a reduction in alpha diversity. Low-intensity continuous training was associated with the lowest alpha diversity. Moderate-intensity continuous training (MICT) enriched Faecalibaculum rodentium with milder compositional shifts. Progressively intensified training resulted in a phylum-level profile intermediate between sedentary and HIIT groups. HIIT is associated with distinct compositional shifts in the gut microbiota of aging-prone mice. These findings highlight exercise intensity as a critical determinant of gut microbial ecology and support HIIT as a candidate precision exercise strategy for older adults. Future studies employing fecal microbiota transplantation are necessary to test causality.

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View paper (DOI)Open access versionOpenAlexBMC MicrobiologyPublished 2026-10-03

Authors: Xiang Tang, Pengfei Li, Hongzhi Gao, Xinlong Ma

Institutions: Tianjin Medical University