Gut Microbiota and Physical Function Data from Sarcopenia Resistance Trial

Figshare hosts a clinical trial dataset on the effect of 24-week elastic-band resistance training on older adults with possible sarcopenia. The study collected physical function tests, body composition, blood, and fecal samples from 31 volunteers to analyze microbiota and metabolite changes. Results show improvements in gait speed, arm curl, and step tests linked to changes in bacterial genera like Eggerthella and short-chain fatty acid levels.

Use Cases

• Analyze correlations between changes in Eggerthella abundance and 2-min step test (2MST) performance to explore gut-muscle axis relationships.
• Model the effect of plasma acetate and propionate concentrations on physical function metrics like timed up-and-go test (TUGT) and gait speed (GS).
• Compare baseline and 24-week serum tumor necrosis factor-α (TNF-α) levels between control and intervention groups to assess inflammatory response.
• Investigate shifts in genus Bacillus abundance following resistance training as a potential biomarker for intervention efficacy.

Strengths

• Data originates from a structured 24-week clinical trial with a defined intervention protocol.
• Includes multi-modal measurements: physical function tests, blood biomarkers, fecal microbiota sequencing, and targeted metabolomics.
• Published under a CC BY 4.0 license, permitting open reuse and redistribution.

Limitations

• Small sample size of 31 participants limits statistical power and generalizability of findings.
• Data is presented in a PDF report (98.0 KB), requiring extraction to obtain structured, machine-readable tables.
• Geographic and demographic specifics of the volunteer cohort are not provided, potentially introducing bias.

Provenance

Source

Yushuang Duan via figshare

Collection Method

Randomized controlled trial with pre- and post-intervention sample collection, using ELISA, metabolomics, and metagenomic sequencing.

Time Range

Covers a 24-week intervention period.

Freshness

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Geography

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