GEO series

A ketogenic diet and voluntary exercise modify the sciatic nerve and gastrocnemius transcriptome in diet-induced obese mice

GSE283692 Mus musculus (mouse) RNA-seq (gene expression) 96 samples Submitted 2026/05/27 Platform GPL21103

At a glance

RNA-seq (gene expression) · mouse · 96 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: 96 samples
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: Ketogenic Diet and Exercise Improve Peripheral Neuropathy in a Mouse Model of Metabolic SyndromeDiabetes · 2026

Summary (written by the submitters)

The metabolic syndrome (MetS), an increasingly prevalent condition, causes peripheral nerve and skeletal muscle damage. Lifestyle interventions, such as a ketogenic diet (KD) and exercise (EX), are recommended to improve MetS and prevent peripheral nerve and skeletal muscle injury. However, a comprehensive understanding of the underlying protective effects of diet and EX on peripheral nerve and skeletal muscle health and a direct comparison of the two is currently lacking.

Read the full summary ↓

Here, we measured peripheral nerve and skeletal muscle outcomes and examined transcriptomic profiles in the sciatic nerve (SCN) and gastrocnemius muscle (GASTROC) from mice fed standard (SD), 60% high-fat (HFD), or KD. We also evaluated the effect of switching HFD mice to SD, KD, and/or exercise (EX) on SCN and GASTROC. Long-term KD preserved peripheral nerve function while dietary and/or EX interventions improved HFD-induced peripheral neuropathy. Differentially expressed gene analyses followed by mFuzz and pathway enrichment analyses identified alterations in biological processes related to cytoskeletal dynamics, lipid metabolism, and amino acid metabolism by diet or interventions in the SCN and GASTROC. Additionally, diet and interventions led to cell-specific changes within the SCN and GASTROC. Collectively, our findings highlight the importance of a healthy diet and regular EX in promoting peripheral nerve and muscle health. We also highlight new and clinically relevant avenues for therapy.

Published in

Ketogenic Diet and Exercise Improve Peripheral Neuropathy in a Mouse Model of Metabolic Syndrome

Eid SA, Jaisil P, Guo K et al. · Diabetes 2026 · PMID 41861283 · doi:10.2337/db25-1015

This dataset

Open GSE283692 in finder → Find more mouse RNA-seq datasets →

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.

Series matrix ↓

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 GSE283692_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA1195060 and SRA study SRP549823. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41861283) ↗

Study design

A cohort of 96 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run CP2 … CP152 and carry no group information.

Samples in this study

GSM8669606 CP2
GSM8669607 CP4
GSM8669608 CP5
GSM8669609 CP8
GSM8669610 CP11
GSM8669611 CP15
GSM8669612 CP17
GSM8669613 CP19
GSM8669614 CP20
GSM8669615 CP21
GSM8669616 CP22
GSM8669617 CP29
GSM8669618 CP33
GSM8669619 CP35
GSM8669620 CP36
GSM8669621 CP37
GSM8669622 CP39
GSM8669623 CP40
GSM8669624 CP41
GSM8669625 CP42
GSM8669626 CP43
GSM8669627 CP45
GSM8669628 CP46
GSM8669629 CP47
GSM8669630 CP51
GSM8669631 CP52
GSM8669632 CP54
GSM8669633 CP56
GSM8669634 CP57
GSM8669635 CP63
GSM8669636 CP64
GSM8669637 CP68
GSM8669638 CP70
GSM8669639 CP74
GSM8669640 CP76
GSM8669641 CP77
GSM8669642 CP80
GSM8669643 CP83
GSM8669644 CP86
GSM8669645 CP87

+ 56 more — browse all 96 samples with per-sample file links →

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Search all mouse RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.