Evidence map›Paper›PMID 39386212›Full record

ReviewFrontiers in immunology2024

Transformation of macrophages into myofibroblasts in fibrosis-related diseases: emerging biological concepts and potential mechanism.

Xiujun Li, Yuyan Liu, Yongjun Tang, Zhaoyi Xia

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  11. Insulin Resistance and Inflammation.International journal of molecular sciences · 2026
    Review
  12. Review
  13. Mechanisms Underlying Altitude-Induced and Group 3 Pulmonary Hypertension.International journal of molecular sciences · 2026
    Review
  14. Article
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  16. Article
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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

4 authors.

Xiujun Li *Health Science Center, Chifeng University, Chifeng, China.
Yuyan Liu *Rehabilitation Medicine College, Shandong Second Medical University, Jinan, China.
Yongjun TangDepartment of Emergency, Affiliated Hospital of Chifeng University, Chifeng, China.
Zhaoyi XiaDepartment of Library, Children's Hospital Affiliated to Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophage-myofibroblast transformation (MMT) transforms macrophages into myofibroblasts in a specific inflammation or injury microenvironment. MMT is an essential biological process in fibrosis-related diseases involving the lung, heart, kidney, liver, skeletal muscle, and other organs and tissues. This process consists of interacting with various cells and molecules and activating different signal transduction pathways. This review deeply discussed the molecular mechanism of MMT, clarified crucial signal pathways, multiple cytokines, and growth factors, and formed a complex regulatory network. Significantly, the critical role of transforming growth factor-β (TGF-β) and its downstream signaling pathways in this process were clarified. Furthermore, we discussed the significance of MMT in physiological and pathological conditions, such as pulmonary fibrosis and cardiac fibrosis. This review provides a new perspective for understanding the interaction between macrophages and myofibroblasts and new strategies and targets for the prevention and treatment of MMT in fibrotic diseases.

Indexed as

FibrosisMacrophagesMyofibroblastsSignal TransductionAnimalsHumansPulmonary FibrosisTransforming Growth Factor betaTransforming Growth Factor betafibrosismacrophagesmacrophage-to-myofibroblast transformation (MMT)myofibroblastsTGF-β signaling pathway

Identifiers

PMID39386212
PMCPMC11461261

What OpenQuestion holds

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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.