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Host-derived bile acids drive dysbiosis by selecting bile-resistant epimerizing bacteria in inflammatory bowel disease

GSE335355 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2026/08/08 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 15 samples, each with a distinct title — no replicated groupsGroups 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)
The gut microbiome is a key regulator of intestinal homeostasis. Although dysbiosis is pervasively reported in inflammatory bowel diseases (IBD), its drivers and impact in disease pathophysiology are not yet fully understood. By integrating public metagenomic and metabolomic datasets from >5000 individuals across 12 ethnically diverse cohorts with independent validation cohorts and using neural-network based feature attribution, we identified epimerized bile acids (BAs) produced by microbial hydroxysteroid dehydrogenases (HSDHs) as a novel hallmark of IBD-associated dysbiosis.
Read the full summary ↓
This shift occurs alongside previously reported changes including a depletion of microbe-derived C7-dehydroxylated BAs and an accumulation of host-derived C7-hydroxylated BAs. We show that increased levels of host-derived BA lead to epithelial remodelling during disease and are sufficient to recapitulate key features of IBD-related dysbiosis, including reduced microbial diversity and expansion of bile-resistant bacteria such as Mediterraneibacter gnavus and Escherichia coli. HSDHs found in IBD-enriched bacteria facilitate growth under high host-derived BA conditions by converting these molecules into urso- and iso-forms. While epimerized 7α-dehydroxylated BA have established immunoregulatory properties, the function of host-derived BA epimers remain poorly understood. We demonstrate that epimerized host-derived BAs exhibit reduced FXR agonist activity and that increased levels of these metabolites, or the bacteria that produce them, are associated with diminished ileal FXR signaling and altered circulating FGF19 and C4 levels in IBD patients. Our findings identify enhanced BA epimerization as a defining metabolic feature of IBD-associated dysbiosis and reveal a mechanism by which bile-resistant bacteria reshape BA signaling, linking microbial adaptation, impaired host-microbiome feedback regulation, and intestinal inflammation.
This dataset
Open GSE335355 in finder → Find more human 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 GSE335355_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 PRJNA1477981 and SRA study SRP709241. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
15 samples, each with a distinct title — no replicated groups

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

How we read this: Read from 15 sample titles: 15 distinct titles with little repetition. 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.