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Dual Impact of Interleukin-17A Blockade on Inflammatory and Stromal Pathways in Peripheral Spondyloarthritis

GSE304063 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/12/04 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 24 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.
Paper
Dual impact of interleukin-17 A blockade on inflammatory and stromal pathways in peripheral spondyloarthritisArthritis research & therapy · 2025
Summary (written by the submitters)
Background: IL-17A plays a role in the pathology of spondyloarthritis (SpA), as evidenced by the clinical efficacy of IL-17A inhibitors (IL-17Ai). Nevertheless, the exact role of IL-17A in driving synovial inflammation and pathological remodeling remains unknown. In this study, we investigated the molecular pathways affected by IL-17Ai in SpA synovitis to determine whether this response is tissue- and/or treatment-specific.
Read the full summary ↓
Methods: Synovial biopsies from 12 peripheral SpA (pSpA) patients before and after 12 weeks of IL-17Ai treatment were analyzed by RNA-sequencing and qPCRs. The synovial tissue response to IL-17Ai in 7 psoriatic arthritis (PsA) patients was compared to: open-source gene expression data of skin biopsies from 15 psoriasis (PsO) patients treated with IL-17Ai; and synovial biopsies from 7 PsA patients receiving IL-12p40/IL-23p40 blockade. Results: Compared to baseline, IL-17Ai significantly modulated the expression of 1255 genes (549 upregulated and 706 downregulated, FDR < 0.1) in the synovium at week 12. The downregulated genes were predominantly associated with inflammatory processes and stromal functions. Comprehensive analysis revealed that IL-17Ai-mediated suppression of bone remodeling is independent of its inhibition of inflammatory pathways. While IL-17Ai consistently attenuated inflammation-related pathways in both psoriatic joints and skin, its effect on bone remodeling pathways was specific to the synovium. This distinguishes IL-17Ai from IL-12p40/IL-23p40 inhibitors, which, while mitigating synovial inflammation, did not affect tissue remodeling. Conclusions: Our findings provide new insights into the molecular mechanisms of IL-17A blockade in pSpA, underscoring its unique role in selectively targeting bone-remodeling processes specific to the joints of individuals with SpA.
Published in
Dual impact of interleukin-17 A blockade on inflammatory and stromal pathways in peripheral spondyloarthritis
Hammoura I, Fiechter RH, van Mens LJJ et al. · Arthritis research & therapy 2025 · PMID 41194220 · doi:10.1186/s13075-025-03638-0
This dataset
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.

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 GSE304063_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1298851 and SRA study SRP604791. Searching any of these in the dataset finder brings you back here.

Study design
24 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 24 sample titles: 24 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
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