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Acute Nutritional Ketosis During Early Recovery from Exercise Does Not Affect Skeletal Muscle Transcriptomic Response

GSE292369 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/11/18 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 36 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
Homo sapiens (human)
Samples
36 samples: 9 × Muscle, rest, placebo, P vs 9 × Muscle, exercised, placebo, P vs 9 × Muscle, rest, ketone ester, P vs 9 × Muscle, exercised, ketone ester, PGroups 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
Acute nutritional ketosis during early recovery from aerobic exercise does not affect skeletal muscle transcriptomic response in humansEuropean journal of applied physiology · 2026
Summary (written by the submitters)
Purpose: Recent research suggests that Ketone monoester (KME) supplementation may enhance skeletal muscle adaptation to exercise, possibly modulated be an increased secretion of erythropoietin (EPO) and increased muscle glycogen resynthesis, but the precise molecular pathways driving the response remain uncertain. Therefore, we aimed at characterising the modulation of skeletal muscle by KME through a genome-wide characterisation of the transcriptome early post-exercise.
Read the full summary ↓
Methods: Following a randomized, double-blind, crossover design, recreationally active men [n= 9; age: 26 ± 5 (means ± SD); height: 1.80 ± 0.07 m; body mass: 80 ± 9 kg; V̇O2max: 47 ± 4 mL·kg-1·min-1]) completed two experimental trials where they ingested either 1.25 g/kg of KME (>96% (R)-3-hydroxybutyl (R)-3-hydroxybutyrate) or a taste-matched placebo (PLA) drink around exercise (90-min cycling at 60% of VO2max) in standardised conditions. . Venous blood samples were taken throughout baseline, exercise and recovery, and skeletal muscle biopsies were taken at baseline and 3-h post exercise. Results: KME intake elevated serum ßHB concentrations post-exercise to 3.3 ± 0.5 mM and remained elevated levels during recovery (range: ~4.0–4.7 mM). Remarkably, there was no marked upregulation or downregulation of differentially expressed genes at 3-h post-exercise with KME supplementation compared to PLA. Although, baseline serum EPO levels were higher in PLA (12.8 ± 3.9 IU/L) compared to KME (10.1 ± 5.7 IU/L) and remained slightly higher in PLA throughout recovery, there was not significant difference between conditions. Pre- and post- exercise muscle glycogen concentrate were similar between conditions (KME PRE: 501 ± 118 mmol/kg, KME POST, 284 ± 117 mmol/kg, PLA PRE: 492 ± 102 mmol/kg, PLA POST: 282 ± 184 mmol/kg). Conclusions: Our findings indicate that despite a sustained post-exercise increase in serum ßHB concentrations, KME supplementation did not induce transcriptional changes in skeletal muscle. Additionally, in contrast to previous studies, KME did not affect glycogen concentrations or serum EPO levels during the first 3-hours post-exercise.
Published in
Acute nutritional ketosis during early recovery from aerobic exercise does not affect skeletal muscle transcriptomic response in humans
Mosquera-Lopez E, Louis J, Edwards JP et al. · European journal of applied physiology 2026 · PMID 40960642 · doi:10.1007/s00421-025-05987-9
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 GSE292369_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 PRJNA1238248 and SRA study SRP571568. Searching any of these in the dataset finder brings you back here.

Study design
9 × Muscle, rest, placebo, P vs 9 × Muscle, exercised, placebo, P vs 9 × Muscle, rest, ketone ester, P vs 9 × Muscle, exercised, ketone ester, P

Supports a between-group comparison across 36 samples.

How we read this: 4 replicated groups read from 36 sample titles; they account for 36 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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