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Transcriptomic Insights into Aerobic Exercise-Mediated Attenuation of High-Fat Diet–Induced Muscle Wasting

GSE319603 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/02/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
18 samples: 6 × control vs 6 × high-fat diet vs 6 × high-fat diet with MICT interventionGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Transcriptomic insights into aerobic exercise-mediated attenuation of high-fat diet-induced muscle wastingFrontiers in physiology · 2026
Summary (written by the submitters)
Chronic consumption of high-fat diet (HFD) induces obesity and metabolic dysfunction and is accompanied by progressive skeletal muscle wasting. Although aerobic exercise is generally considered less effective for maintaining muscle mass, accumulating evidence suggests that it can attenuate HFD-induced muscle wasting. However, the molecular mechanisms underlying this protective effect remain poorly defined.
Read the full summary ↓
In this study, we investigated the effects of moderate-intensity continuous training (MICT) on HFD-induced muscle wasting and characterized the associated transcriptomic adaptations in the mouse gastrocnemius muscle. Twenty-one weeks of HFD feeding increased body weight and serum glucose levels and induced marked muscle wasting, as evidenced by reduced gastrocnemius muscle index, impaired normalized forelimb grip strength, decreased muscle fiber cross-sectional area, and excessive intramuscular lipid accumulation. These pathological alterations were significantly attenuated by an 8-week MICT intervention. RNA sequencing revealed that HFD predominantly induced a lipid-centered transcriptional program characterized by enhanced fatty acid uptake, trafficking, and β-oxidation. In contrast, MICT predominantly suppressed atrophy-associated genes (Foxo1, Fbxo32, and Trim63), while exerting minimal effects on myogenic genes (Pax7, Myod1, and Myog). Functional enrichment analyses further indicated that MICT modulated signaling pathways related to FoxO, PI3K–Akt, MAPK, and insulin signaling, together with biological processes associated with angiogenesis and calcium signaling. Collectively, these results suggest that MICT mitigates HFD-induced muscle wasting primarily by reprogramming the transcriptome from a lipotoxic, atrophic state toward a more insulin-sensitive, pro-angiogenic profile, with limited myogenic activation.
Published in
Transcriptomic insights into aerobic exercise-mediated attenuation of high-fat diet-induced muscle wasting
Hong W, Zheng J, Luan Y et al. · Frontiers in physiology 2026 · PMID 41835150 · doi:10.3389/fphys.2026.1796142
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE319603_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1424711 and SRA study SRP677622. Searching any of these in the dataset finder brings you back here.

Study design
6 × control vs 6 × high-fat diet vs 6 × high-fat diet with MICT intervention

Supports a between-group comparison across 18 samples.

How we read this: 3 replicated groups read from 18 sample titles; they account for 18 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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