Evidence map›Paper›PMID 40369957›Full record

ArticleRenal failure2025

Unveiling the role of oxidative stress in ANCA-associated glomerulonephritis through integrated machine learning and bioinformatics analyses.

Liyuan Xie, Xianying Qiu, Junya Jia, Tiekun Yan, Pengcheng Xu

Abstract read
In one paragraph

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 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

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

2 citing papers in PubMed.

  1. Article
  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

5 authors.

Liyuan XieDepartment of Nephrology, Tianjin Medical University General Hospital, Tianjin, P.R. China.ORCID 0009-0008-7537-0387
Xianying QiuDepartment of Nephrology, Tianjin Medical University General Hospital, Tianjin, P.R. China.ORCID 0009-0003-2736-2327
Junya JiaDepartment of Nephrology, Tianjin Medical University General Hospital, Tianjin, P.R. China.ORCID 0000-0002-4344-132X
Tiekun YanDepartment of Nephrology, Tianjin Medical University General Hospital, Tianjin, P.R. China.ORCID 0000-0003-0798-9731
Pengcheng XuDepartment of Nephrology, Tianjin Medical University General Hospital, Tianjin, P.R. China.ORCID 0000-0001-8596-9555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune disease often leading to rapidly progressive glomerulonephritis. Oxidative stress plays a critical role in the development and progression of ANCA-associated glomerulonephritis (AAGN), but the underlying mechanisms remain poorly understood. Targeting genes related to oxidative stress may provide novel insights and supplementary therapeutic benefits for AAGN. In the current study, we obtained differentially expressed genes from AAGN-related microarray datasets in the Gene Expression Omnibus database, and oxidative stress-related genes (OSRGs) from the GeneCards and Gene Ontology databases to identify differentially expressed OSRGs. Then, by integrating weighted gene co-expression network analysis, and machine learning algorithms, we identified four upregulated hub OSRGs (all

Indexed as

Anti-Neutrophil Cytoplasmic Antibody-Associated VasculitisGlomerulonephritisMachine LearningOxidative StressComputational BiologyDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansANCA-associated glomerulonephritisbioinformatic analysismachine learningoxidative stressWGCNA

Identifiers

PMID40369957
PMCPMC12082741

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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.