Evidence map›Paper›PMID 42663285›Full record

ReviewInternational journal of molecular medicine2026

Breaking the cycle of fibrosis: Ferroptosis as a therapeutic target (Review).

Xincheng Feng, Jue Zhang, Qinghong Ma, Chao Sun

Abstract readReview
In one paragraph

Review in International journal of molecular 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

4 authors.

Xincheng FengDepartment of Spine Surgery, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, P.R. China.
Jue ZhangDepartment of Spine Surgery, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, P.R. China.
Qinghong MaDepartment of Spine Surgery, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, P.R. China.
Chao SunDepartment of Spine Surgery, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu 211100, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis, characterized by abnormal deposition of extracellular matrix, is a chronic disease that progressively remodels tissues, leading to organ failure, earning it the moniker the 'silent killer' of organ function. Recently, ferroptosis, a novel form of regulated cell death, has garnered attention in research; its molecular mechanisms, including the lipid peroxidation cascade, dysregulation of glutathione metabolism and imbalance in iron ion homeostasis, have been closely linked to the progression of fibrosis. The present review systematically elaborates on the process of fibrosis, the main mechanisms of ferroptosis and the role of ferroptosis in fibrosis. The review also discusses intervention strategies targeting the key signaling nodes of ferroptosis during the inflammatory initiation and cell proliferation stages. In addition, it also elaborates on innovative therapeutic strategies based on regulating the ferroptosis pathway, including engineered exosome‑mediated gene delivery systems and iron chelators encapsulated by multifunctional nanoparticles. Through a summary of current evidence, the present review provides a mechanistic rationale and new perspectives for the development of precision anti‑fibrotic therapies targeting ferroptosis.

Indexed as

FerroptosisFibrosisAnimalsExosomesHumansIronLipid PeroxidationSignal TransductionIronferroptosisfibrosisGPX4inflammationlipid peroxidationproliferation

Identifiers

PMID42663285
PMCPMC13541276

What Socratic holds

Textmetadata
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.