Evidence map›Paper›PMID 41835144›Full record

SynthesisFrontiers in physiology2026

Research trends of mitochondrial dysfunction in hepatic fibrosis: a bibliometric analysis.

Xingtao Jin, Yanlu Ma, Yiqiang Tang, Fengjie Qiao, Tong Xiao, Yu Cui, Man Li, Yueqiu Gao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

8 authors.

Xingtao JinInstitute of Cellular Immunity Laboratory, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yanlu MaInstitute of Cellular Immunity Laboratory, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yiqiang TangInstitute of Cellular Immunity Laboratory, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Fengjie QiaoInstitute of Cellular Immunity Laboratory, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Tong XiaoInstitute of Cellular Immunity Laboratory, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yu CuiInstitute of Cellular Immunity Laboratory, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Man LiInstitute of Cellular Immunity Laboratory, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yueqiu GaoInstitute of Cellular Immunity Laboratory, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatic fibrosis is a progressive pathological process driven by multiple chronic liver injury factors. Increasing evidence highlights that mitochondrial dysfunction serves as a pivotal mechanism in the onset and progression of hepatic fibrosis. Methods: A systematic search of the Web of Science Core Collection (WoSCC) and Scopus databases identified 1,634 relevant articles published between January 2005 and December 2025. Following the PRISMA guidelines, duplicate removal and quality control were performed. Bibliometric analysis tools including VOSviewer, CiteSpace, and Scimago Graphica were utilized to extract or calculate evaluation metrics, enabling analysis and visualization of knowledge maps. Publications were categorized by country, institution, author, journal, highly cited papers, and keywords. These variables were compared in terms of publication output and academic impact, including metrics such as citation counts, citation impact, H-index, and journal impact factor. Results: A total of 1,634 relevant publications were retrieved, originating from 92 countries or regions and 2858 research institutions. China and the United States led in both publication volume and impact; the most prolific institution was the Centro de Investigación Biomédica en Red (CIBER), followed by the University of California System. The International Journal of Molecular Sciences was the most frequently publishing journal, while Hepatology was the most highly cited journal. Heidari, Reza was the most prolific author; the five most cutting-edge keywords identified were oxidative stress, apoptosis, mitophagy, hepatic stellate cells, and reactive oxygen species. We confirmed three major research hotspots: activation of hepatic stellate cells, imbalance in mitochondrial quality control, and the vicious cycle of oxidative stress. Conclusion: Based on our previous discussions, mitochondria are increasingly recognized as central to the onset and progression of hepatic fibrosis. Related research is advancing rapidly and has become a key area for interdisciplinary collaboration. Future efforts should focus on: validating mitochondrial function biomarkers such as circulating mtDNA and mitochondria-specific metabolites; refining patient stratification based on mitochondrial dysfunction phenotypes (such as metabolic imbalance type, oxidative stress type); and advancing therapeutic strategies targeting mitochondrial quality control, metabolism, and redox balance. This will translate deep mechanistic insights into effective solutions for improving the clinical management of hepatic fibrosis.

Indexed as

biomarkerhepatic fibrosismitochondriamitochondrial dysfunctionnon-alcoholic steatohepatitis

Identifiers

PMID41835144
PMCPMC12982054

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.