Evidence map›Paper›PMID 39467637›Full record

ArticleLife science alliance2025

BACH1 as a key driver in rheumatoid arthritis fibroblast-like synoviocytes identified through gene network analysis.

Aurelien Pelissier, Teresina Laragione, Carolyn Harris, María Rodríguez Martínez, Percio S Gulko

Abstract read
In one paragraph

Article in Life science alliance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Aurelien PelissierIBM Research Europe, Eschlikon, Switzerland.
Teresina LaragioneDivision of Rheumatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Carolyn HarrisDivision of Rheumatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
María Rodríguez MartínezIBM Research Europe, Eschlikon, Switzerland maria.rodriguezmartinez@yale.edu.ORCID 0000-0003-3766-4233
Percio S GulkoDivision of Rheumatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA percio.gulko@mssm.edu.

Funding

Magnesium and Arthritis PathogenesisR01AR073165 · NIAMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GULKO, PERCIO S · 2019 to 2023
$1.8M
NIAMS NIH HHS R01 AR073165
6 · The paper itself

Abstract

RNA-sequencing and differential gene expression studies have significantly advanced our understanding of pathogenic pathways underlying rheumatoid arthritis (RA). Yet, little is known about cell-specific regulatory networks and their contributions to disease. In this study, we focused on fibroblast-like synoviocytes (FLS), a cell type central to disease pathogenesis and joint damage in RA. We used a strategy that computed sample-specific gene regulatory networks to compare network properties between RA and osteoarthritis FLS. We identified 28 transcription factors (TFs) as key regulators central to the signatures of RA FLS. Six of these TFs are new and have not been previously implicated in RA through ex vivo or in vivo studies, and included BACH1, HLX, and TGIF1. Several of these TFs were found to be co-regulated, and BACH1 emerged as the most significant TF and regulator. The main BACH1 targets included those implicated in fatty acid metabolism and ferroptosis. The discovery of BACH1 was validated in experiments with RA FLS. Knockdown of BACH1 in RA FLS significantly affected the gene expression signatures, reduced cell adhesion and mobility, interfered with the formation of thick actin fibers, and prevented the polarized formation of lamellipodia, all required for the RA destructive behavior of FLS. This study establishes BACH1 as a central regulator of RA FLS phenotypes and suggests its potential as a therapeutic target to selectively modulate RA FLS.

Indexed as

Arthritis, RheumatoidBasic-Leucine Zipper Transcription FactorsFibroblastsGene Regulatory NetworksSynoviocytesCells, CulturedGene Expression ProfilingGene Expression RegulationHumansOsteoarthritisBACH1 protein, humanBasic-Leucine Zipper Transcription Factors

Identifiers

PMID39467637
PMCPMC11519322

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.