Evidence map›Paper›PMID 41890745›Full record

ReviewFrontiers in immunology2026

The immune dysregulation of fibrosis: insights into immune-fibrotic crosstalk and potential therapeutic targets.

Hua-Xin Kang, Yi-Fei Fu, Hao Wu, Xie-Lin Yan, Jun-Jie Wu, Ling-Zhen Jiang, Lei-Sheng Wang, Ya-Ru Xiao, Zhen-Zhu Zhang, Feng-Lai Yuan and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

11 authors.

Hua-Xin Kang *Affiliated Hospital of Jiangnan University, Wuxi, China.
Yi-Fei Fu *Wuxi Medical College, Jiangnan University, Wuxi, China.
Hao Wu *Affiliated Hospital of Jiangnan University, Wuxi, China.
Xie-Lin YanAffiliated Hospital of Jiangnan University, Wuxi, China.
Jun-Jie WuWuxi Medical College, Jiangnan University, Wuxi, China.
Ling-Zhen JiangAffiliated Hospital of Jiangnan University, Wuxi, China.
Lei-Sheng WangTongren Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ya-Ru XiaoAffiliated Hospital of Jiangnan University, Wuxi, China.
Zhen-Zhu ZhangDonghai County People's Hospital, Lianyungang, China.
Feng-Lai YuanAffiliated Hospital of Jiangnan University, Wuxi, China.
Zhi-Tong ZuoAffiliated Hospital of Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary fibrosis is the converging pathological outcome of chronic inflammatory lung diseases with diverse etiologies. Sustained inflammation disrupts immune cell homeostasis, driving aberrant activation and differentiation of myofibroblasts and leading to excessive extracellular matrix deposition within the lung interstitium. Emerging evidence indicates that immune dysregulation contributes to myofibroblast activation, and that immunomodulatory therapies may reverse fibrotic progression across diverse disease models. In this Review, we dissect the mechanisms by which immune dysregulation promotes fibrosis in distinct pathological contexts, highlighting the heterogeneity of immune-fibrotic interactions. We further discuss emerging targets with potential for precision intervention, aiming to inform the development of adjunctive and personalized therapeutic strategies.

Indexed as

Pulmonary FibrosisAnimalsHumansImmunomodulationMolecular Targeted TherapyMyofibroblastsimmune cellsimmune dysregulationmyofibroblastpharmacotherapypulmonary fibrosistherapeutic target

Identifiers

PMID41890745
PMCPMC13012962

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.