← BioTransfer GEO Dataset Finder
GEO series

Microbiome-Derived Indole-3-lactic Acid Attenuates Cutibacterium acnes–Induced Inflammation via the Aryl Hydrocarbon Receptor Pathway

GSE315350 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/01/05 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Microbiome-Derived Indole-3-Lactic Acid Attenuates Cutibacterium Acnes-Induced Inflammation via the Aryl Hydrocarbon Receptor PathwayInternational journal of molecular sciences · 2026
Summary (written by the submitters)
Acne vulgaris is a chronic inflammatory dermatosis where conventional therapies of-ten face limitations in efficacy and safety, necessitating the development of microbi-ome-targeted interventions. This study investigated the immunomodulatory potential of microbiome-derived tryptophan metabolites as a novel therapeutic strategy for Cutibacterium acnes-induced inflammation, focusing on the aryl hydrocarbon receptor (AHR) pathway.
Read the full summary ↓
We evaluated indole-3-lactic acid (ILA), indole-3-acrylic acid (IAA), and indole-3-propionic acid (IPA) in comparison to tapinarof, utilizing C. ac-nes-stimulated human epidermal keratinocytes and a C. acnes-induced acne mouse model. In vitro, ILA and IPA significantly suppressed C. acnes-driven inflammatory mediators, including TNF-α, IL-1β, and COX2, whereas IAA demonstrated limited ef-ficacy. In vivo, ILA treatment exhibited superior therapeutic activity, markedly reduc-ing inflammatory cell infiltration, epidermal hyperplasia, and IL-1β expression. Tran-scriptomic analysis confirmed that ILA attenuates inflammatory signaling (e.g., IL-17 and TNF pathways) while upregulating AHR-responsive genes such as CYP1A1 and CYP1B1. Collectively, these findings establish ILA as a potent postbiotic that mitigates cutaneous inflammation through selective activation of the AHR. Future studies should prioritize the clinical translation of ILA-based topical fomulations, with rigorous evaluation of their efficacy and safety in well-designed human trials, to support their development as a non-antibiotic therapeutic alternative for acne management.
Published in
Microbiome-Derived Indole-3-Lactic Acid Attenuates Cutibacterium Acnes-Induced Inflammation via the Aryl Hydrocarbon Receptor Pathway
Lee SG, Chau NH, Ham S et al. · International journal of molecular sciences 2026 · PMID 41683560 · doi:10.3390/ijms27031131
This dataset
Open GSE315350 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 GSE315350_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 PRJNA1395865 and SRA study SRP659124. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41683560) ↗
Study design
6 conditions, mostly in triplicate
Primary human epidermal KCs (PCS-200-011, ATC… ×3 Primary human epidermal KCs (PCS-200-011, ATC… ×3 Primary human epidermal KCs (PCS-200-011, ATC… ×3 Primary human epidermal KCs (PCS-200-011, ATC… ×3 Primary human epidermal KCs (PCS-200-011, ATC… ×3 Primary human epidermal KCs (PCS-200-011, ATC… ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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

Search all human RNA-seq datasets in GEO →

Share this dataset

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.