Evidence map›Paper›PMID 41787499›Full record

ArticleJournal of translational medicine2026

Network medicine modeling of the m⁶A regulatory landscape identifies a KLF6-WTAP axis as a therapeutic target in pulmonary fibrosis.

Chengyuan Xu, Ziheng Zhou, Yani Lin, Siqi Zhang, Shanshan Cai, Bing Li, Zhifang Wang

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chengyuan Xu *Department of General Surgery, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, 200090, China.
Ziheng Zhou *School of Medicine, Tongji University, Shanghai, 200090, China.
Yani Lin *Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Siqi ZhangSchool of Medicine, Tongji University, Shanghai, 200090, China.
Shanshan Cai *Division of Biomedical and Life Sciences, Faculty of Health and Medicine, Lancaster University, Lancaster, LA1 4YG, UK. s.cai6@lancaster.ac.uk.
Bing Li *Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China. libing044162@163.com.
Zhifang Wang *Department of Respiratory Medicine, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, 200090, China. 1501004@tongji.edu.cn.

Funding

Shanghai Clinical Pharmacy Key Specialty Construction Project Support project (Shanghai Health and Pharmaceutical Administration) 201809
6 · The paper itself

Abstract

backgroundIdiopathic pulmonary fibrosis (IPF) is sustained by multicellular circuits linking endothelial activation, fibroblast remodeling, and immune crosstalk. However, how N⁶-methyladenosine (m⁶A) regulation is embedded within these networks and how such network-level regulators can be prioritized as actionable nodes relevant to clinical pharmacology and safety remains unclear.

methodsGuided by a computational modelling and network medicine framework, we integrated single-cell RNA-seq with spatial transcriptomics to systematically profile 23 canonical m⁶A regulators in pulmonary fibrosis and to map their coupling to immune, cytokine, and extracellular-matrix (ECM) programs. CellChat-based ligand–receptor inference was used to reconstruct intercellular communication, while hdWGCNA co-expression modules and pseudotime trajectories resolved intracellular program architecture and dynamic transitions. Key nodes were further interrogated experimentally. WTAP function was evaluated via shRNA-mediated silencing in primary human lung fibroblasts and fibroblast-specific conditional deletion in a bleomycin (BLM)–induced mouse fibrosis model. Immunofluorescence, MeRIP-qPCR, ChIP-qPCR, luciferase reporter assays, RT-qPCR, and western blotting were used to validate WTAP expression, upstream regulation, and downstream m⁶A-linked effects.

resultsNetwork modelling highlighted IGF2BP3-associated sprouting angiogenesis with strengthened adhesion/chemokine signaling in endothelial cells and identified HNRNPA2B1 as a marker of pro-inflammatory macrophage states characterized by enhanced MDK and ITGB2 axes. In fibroblasts, WTAP emerged as a central m⁶A writer connecting an ECM/contractile module to a metabolic-to-mechanical transition along pseudotime. Spatial mapping and immunofluorescence confirmed elevated WTAP in fibroblast-enriched fibrotic regions. Functionally, WTAP silencing attenuated TGF-β–induced α-SMA and collagen III expression, reduced proliferation/migration, and lowered global m⁶A levels. Mechanistically, ChIP-qPCR and promoter reporter assays supported KLF6-dependent transcriptional activation of WTAP, and WTAP was associated with methylation-linked regulation of MYC, NR4A3, and IGFBP5. In vivo, fibroblast-specific WTAP deletion improved survival, preserved lung mechanics, and diminished collagen burden in BLM-treated mice.

conclusionsThis study establishes a multi-omics network medicine map of m⁶A regulation in IPF and nominates the KLF6–WTAP axis as a central, potentially targetable hub coordinating pathogenic stromal programs. The framework provides a systems-level basis for target prioritization and for evaluating fibrosis-related safety liabilities and pharmacovigilance signals in clinical pharmacology.

Indexed as

AdenosineCell Cycle ProteinsGene Regulatory NetworksKruppel-Like Factor 6Models, BiologicalPulmonary FibrosisAnimalsBleomycinFibroblastsHumansMiceSignal TransductionAdenosineBleomycinCell Cycle ProteinsKruppel-Like Factor 6N-methyladenosineFibroblastIPFKLF6M⁶ASingle-cellWTAP

Identifiers

PMID41787499
PMCPMC13037310

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.