Evidence map›Paper›PMID 42343844›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2026

[Overexpressing NDUFA13 and CRIP1 improves B cell injury and lung Lesions in COPD mouse models].

Miao Wang, Bichao Lu, Haoyang Meng, Shuhan Zhou, Ningfeng Mao, Yang Zhang, Wenliang Lü

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Miao WangInstitute of Epidemic Diseases, Hubei University of Traditional Chinese Medicine, Wuhan, China.
Bichao LuInstitute of Epidemic Diseases, Hubei University of Traditional Chinese Medicine, Wuhan, China.
Haoyang MengInstitute of Epidemic Diseases, Hubei University of Traditional Chinese Medicine, Wuhan, China.
Shuhan ZhouInstitute of Epidemic Diseases, Hubei University of Traditional Chinese Medicine, Wuhan, China.
Ningfeng MaoInstitute of Epidemic Diseases, Hubei University of Traditional Chinese Medicine, Wuhan, China.
Yang ZhangInstitute of Epidemic Diseases, Hubei University of Traditional Chinese Medicine, Wuhan, China.
Wenliang LüInstitute of Epidemic Diseases, Hubei University of Traditional Chinese Medicine, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify B cell-associated biomarkers in chronic obstructive pulmonary disease (COPD) using bioinformatics and explore their diagnostic and therapeutic potential.

methodsBased on the GEO database, differential expression analysis, WGCNA, scRNA-seq, ROC curve analysis, and Mendelian randomization analysis were performed to screen B cell-related biomarkers. Twenty ICR mice were divided equally into control and COPD groups, and COPD model was established using lipopolysaccharide (LPS) combined with cigarette smoke exposure to verify biomarker expression. Cultured murine B lymphoma CH12.LX cells were stimulated with 1 μg/mL LPS and transfected with plasmids overexpressing CRIP1 or NDUFA13 or with a negative control plasmid, and the changes in protein expressions of NDUFB8, MTCO1, ATP5A and ACTB were examined with Western blotting. CCK-8 assay and flow cytometry were used to analyze the viability and apoptosis of murine lung epithelial cells co-cultured with the treated CH12.LX cells, respectively.

resultsTwo protective factors, namely NDUFA13 (OR=0.2598) and CRIP1 (OR=0.2690;

conclusionsNDUFA13 and CRIP1 are B cell-associated protective biomarkers in COPD with potential diagnostic values for COPD.

Indexed as

B-LymphocytesPulmonary Disease, Chronic ObstructiveAnimalsApoptosisBiomarkersDisease Models, AnimalLipopolysaccharidesLungMaleMiceMice, Inbred ICRBiomarkersLipopolysaccharidesB cellbiomarkerschronic obstructive pulmonary diseaseMendelian randomizationsingle-cell RNA sequencingtranscriptomics

Identifiers

PMID42343844
PMCPMC13294740

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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.