Omics · study · 2026
Delayed molecular aging, preservation of energy metabolism and enhanced exercise response in exercise-trained human muscle
Listed in NCBI GEO
Exercise is fundamental to healthy aging, yet how it mitigates age-related molecular changes and how fitness level shapes exercise responses remain unclear.
Description
To address this, we performed transcriptomics, lipidomics, and metabolomics on skeletal muscle of young and older adults with differing physical function, both before and after an acute bout of sub-maximal exercise. At baseline, older adults exhibited reduced expression of genes associated with cellular respiration and energy metabolism compared to young adults with comparable activity levels.
Here we show that in trained older adults, 50% of these age-related differences were absent, resulting in profiles resembling those of young adults. While all participants displayed transcriptional immune and stress responses upon acute exercise, the magnitude of these responses in older adults correlated positively with their physical fitness. Integrated multi-omic analyses further revealed links between mitochondrial respiration, lipid metabolism, stress responses and NAD⁺ biology.
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These findings demonstrate that sustained physical training transforms age-related molecular profiles and provides a molecular atlas for studying fitness-dependent aging mechanisms.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330697 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330697 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1465274 ncbi.nlm.nih.gov/bioproject/PRJNA1465274 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Bioinformatics and computational biology 73%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE330697 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3102 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |