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Sodium oxybate, a narcolepsy therapeutic, remodels the gut microbiota and alleviates metabolic dysfunction in developing and established obesity

GSE342666 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2026/08/06 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 16 × Experiment 2_LV_P vs 16 × Experiment 1_LV_TGroups 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.
Summary (written by the submitters)
Using diet-induced pre-obese and obese mouse models, we found that SXB reduced hepatic steatosis and inflammation in both conditions, together with increased expression of genes linked to mitochondrial respiratory function. In obese mice, SXB further improved insulin resistance and attenuated body weight gain by limiting fat mass expansion.
Read the full summary ↓
These metabolic improvements were accompanied by enhanced adipose tissue function, reflected by reduced adipocyte hypertrophy and inflammation in white adipose tissue and by reduced lipid content and increased uncoupling protein 1 (UCP-1) abundance in brown adipose tissue. Mechanistically, SXB reshaped the gut microbiota in a manner that contributed toassociates with improved liver metabolic function. Consistent with a causal role for microbiota, fecal microbiota transplantation (FMT) from SXB-treated obese donors recapitulated these benefits in untreated obese recipients, rescuing diet-induced weight gain, hyperglycemia, and hepatic steatosis. These findings identify suggest the gut microbiota as a key potential mediator of the metabolic effects of SXB, support further investigation of gut microbiota alterations in narcolepsy, and underscore the broader translational relevance of drug-microbiota interactions in metabolic dysfunction.
This dataset
Open GSE342666 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 GSE342666_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 PRJNA1508744 and SRA study SRP724735. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
16 × Experiment 2_LV_P vs 16 × Experiment 1_LV_T

Supports a between-group comparison across 32 samples.

How we read this: 2 replicated groups read from 32 sample titles; they account for 32 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
Datasets on a similar topic

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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.