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Dietary and exercise interventions improve cognition and alter hippocampal transcriptome in a metabolic syndrome mouse model

GSE283691 Mus musculus (mouse) RNA-seq (gene expression) 48 samples Submitted 2025/10/02 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 48 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
48 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
Dietary and exercise interventions improve cognition and alter hippocampal transcriptomics in a mouse model of the metabolic syndromeExperimental neurology · 2025
Summary (written by the submitters)
The metabolic syndrome (MetS) is a major global health concern that continues to rise in prevalence. Further fueling the burden of disease, MetS predisposes individuals to neural injury, enhancing the risk of developing cognitive impairment (CI). MetS management encourages weight loss and physical activity to ameliorate overall systemic metabolic health with consequent improvement on CI.
Read the full summary ↓
In this light, diet and exercise (EX) have garnered interest as non-pharmacological interventions for CI, which, besides their salutary benefits on systemic metabolic health, exert multifactorial neuroprotective effects locally within neural tissue. Nevertheless, the detailed molecular and cellular mechanisms of diet- and EX-mediated benefits on CI remain incompletely understood. Moreover, most studies have assessed the impact of either diet or EX on CI, so direct, head-to-head comparisons are lacking, to our knowledge. Herein, we compared high-fat diet (HFD) and ketogenic diet (KD) versus standard-diet (SD) on systemic metabolism, CI, and hippocampus transcriptome. We also assessed the efficacy of dietary reversal (DR, switch from HFD to SD), KD intervention (KDI), EX, and combined KDI-EX for reversing HFD-induced MetS CI. We found HFD, but not KD, impaired systemic metabolism and induced CI relative to SD, and all diets differed in hippocampus transcriptome. All interventions, DR, KDI, EX, and KDI-EX improved the MetS and CI, albeit to differing extents with superior performance from diets with/without EX than EX alone. In tandem, interventions also changed hippocampal gene expression, in metabolic and neuroactive ligand-receptor signaling pathways. Overall, our findings have important health implications and especially advocate diet for improving MetS and associated CI.
Published in
Dietary and exercise interventions improve cognition and alter hippocampal transcriptomics in a mouse model of the metabolic syndrome
Jaisil P, Eid SA, Guo K et al. · Experimental neurology 2025 · PMID 41027539 · doi:10.1016/j.expneurol.2025.115483
This dataset
Open GSE283691 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 GSE283691_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 PRJNA1195054 and SRA study SRP549809. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41027539) ↗
Study design
A cohort of 48 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 CP1 … CP97 and carry no group information.

Samples in this study

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

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