Evidence map›Paper›PMID 42198516›Full record

ArticleToxics2026

MFN2 Overexpression Attenuates Coal Dust-Induced Pulmonary Fibrosis by Modulating MAMs Integrity and Cell Apoptosis.

Na Zhang, Lulu Liu, Junrong Chen, Yingjie Liu, Shen Yang, Mei Zhang, Yu Xiong, Xin Ma, Yan Wang, Xiaoqiang Han

Abstract read
In one paragraph

Article in Toxics, 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

10 authors.

Na ZhangSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Lulu LiuSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Junrong ChenSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Yingjie LiuSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Shen YangSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Mei ZhangSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Yu XiongSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Xin MaSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Yan WangSchool of Public Health, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.
Xiaoqiang HanSchool of Basic Medical Sciences, Ningxia Medical University, No. 1160, Shengli Street, Xingqing District, Yinchuan 750004, China.

Funding

National Natural Science Foundation of China 82260636Ningxia Medical University Distinctive Disciplines TSXK2025002
6 · The paper itself

Abstract

Pneumoconiosis, characterized by progressive pulmonary fibrosis, remains a predominant occupational disease in China, with coal workers' pneumoconiosis (CWP) and silicosis being the primary subtypes. Despite extensive research, its underlying pathogenic mechanisms are not yet fully understood. Mitochondria-associated endoplasmic reticulum (ER) membranes (MAMs) are crucial subcellular microdomains that govern Ca

Indexed as

apoptosisCa2+coal workers’ pneumoconiosis (CWP)MFN2mitochondria-associated endoplasmic reticulum membranes (MAMs)

Identifiers

PMID42198516
PMCPMC13211067

What OpenQuestion 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 OpenQuestion graph.