Evidence mapPaperPMID 39780495Full record

ArticleRenal failure2025

Identification of biomarkers for chronic renal fibrosis and their relationship with immune infiltration and cell death.

Jiaqi Shi, Xinyue Qin, Haonan Sha, Rong Wang, Hao Shen, Yinhao Chen, Xiaolan Chen

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Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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.

Jiaqi ShiDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, China.
Xinyue QinDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Haonan ShaDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, China.
Rong WangDepartment of Nephrology, Affiliated Hospital 2 of Nantong University, Nantong, China.
Hao ShenDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Yinhao ChenDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital Bonn, Bonn, Germany.
Xiaolan ChenDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) represents a significant global public health challenge. This study aims to identify biomarkers of renal fibrosis and elucidate the relationship between unilateral ureteral obstruction (UUO), immune infiltration, and cell death.

methodsGene expression matrices for UUO were retrieved from the gene expression omnibus (GSE36496, GSE79443, GSE217650, and GSE217654). Seven genes identified through Protein-Protein Interaction (PPI) network and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) analysis were validated using qRT-PCR in both

resultsGO and KEGG enrichment analyses revealed numerous inflammation-related pathways significantly enriched in UUO conditions. Bcl2a1b, Clec4n, and Col1a1 were identified as potential diagnostic biomarkers for UUO. Analysis of immune cell infiltration indicated a correlation between UUO and enhanced mast cell activation. Silencing Clec4n expression appeared to mitigate the inflammatory response in renal fibrosis. GSVA results indicated elevated inflammatory pathway scores in UUO, with significant differences in disulfiram and cuproptosis scores compared to those in the normal murine kidney group.

conclusionBcl2a1b, Clec4n, and Col1a1 may serve as biomarkers for diagnosing UUO. UUO development is closely linked to immune cell infiltration, activation of inflammatory pathways, disulfiram, and cuproptosis processes.

Indexed as

BiomarkersFibrosisKidneyRenal Insufficiency, ChronicUreteral ObstructionAnimalsCell DeathDisease Models, AnimalHumansLectins, C-TypeMaleMiceMice, Inbred C57BLNF-kappa BProtein Interaction MapsSignal TransductionBiomarkersLectins, C-TypeNF-kappa Bbioinformaticsbiomarkerscell deathChronic kidney fibrosisimmune infiltration

Identifiers

PMID39780495
PMCPMC11721624

What Socratic holds

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Registered trials

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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 Socratic graph.