Evidence map›Paper›PMID 40608262›Full record

ArticleClinical and experimental nephrology2025

Comprehensive analysis of pyroptosis-related gene signatures in renal fibrosis.

Dao-Hai Zhang, Rui Wang, Liang Liu, Peng Zhang, Jing-Hong Zhao, Bo Liang

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Article in Clinical and experimental nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Targeting the non-coding RNA-PANoptosis axis: a novel frontier in disease diagnosis and therapy.Apoptosis : an international journal on programmed cell death · 2026
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4 · The record

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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

6 authors.

Dao-Hai Zhang *Department of Nephrology, Key Laboratory for the Prevention and Treatment of Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Rui Wang *Department of Massage, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
Liang LiuDepartment of Nephrology, Key Laboratory for the Prevention and Treatment of Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Peng ZhangAdmissions and Employment Office, Neijiang Health Vocational College, Neijiang, China.
Jing-Hong ZhaoDepartment of Nephrology, Key Laboratory for the Prevention and Treatment of Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China. zhaojh@tmmu.edu.cn.
Bo LiangDepartment of Nephrology, Key Laboratory for the Prevention and Treatment of Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China. liangbo1993@tmmu.edu.cn.ORCID http://orcid.org/0000-0002-1749-6976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal fibrosis is key histopathological lesion in chronic kidney disease progression. This study explored pyroptosis-related gene signatures, potential molecular pathways and chemicals, as well as immune infiltration in renal fibrosis.

methodsRenal fibrosis datasets and pyroptosis-related genes were obtained and differentially expressed pyroptosis-related genes (DEPGs) were identified. Then functional enrichment analysis was performed and core DEPGs were screened by WGCNA and LASSO regression analysis. Subsequently, miRNA-core DEPG interactions and potential chemicals were established. Finally, immune cell subtype distribution was evaluated and the core DEPGs were externally validated.

resultsA total of 38 DEPGs were identified which were enriched in inflammatory- and immune-related pathways. Nine core DEPGs were identified and the risk core = (0.1003 × Bak1) + (0.0944 × Zbp1) + (0.0882 × Tlr2) + (0.0585 × Il18) + (0.0497 × Adora2b) + (0.0418 × Stat3) + (0.0325 × Icam1) + (0.0272 × Pycard) + (0.0132 × Epha2). Nine core DEPGs exhibited high sensitivity and specificity for predicting UUO occurrence. A total of 444 miRNA-core DEPG interactions were obtained and miR-124-3p, miR-92a-3p, and miR-6807-5p were identified as core miRNAs. Adenosine served as a potential chemical that directly bound to Adora2b. Immune cells, including naïve B cells, CD4

conclusionsThis study sheds light on the novel pyroptosis-related gene signatures in renal fibrosis.

Indexed as

KidneyPyroptosisRenal Insufficiency, ChronicTranscriptomeFibrosisGene Expression ProfilingHumansMicroRNAsMicroRNAsImmune infiltrationMachine-learning algorithmsMiRNA interactionPotential chemicalsPyroptosisRenal fibrosisRisk scoreSignature

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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.