Evidence map›Paper›PMID 41064490›Full record

ArticleJournal of inflammation research2025

Comprehensive Analysis and Experimental Validation of Immune-Related Biomarkers and Immune Microenvironment in Diabetic Nephropathy.

Weini Zhou, Ziyang Zeng, Xunjia Li, Mei Yang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. 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
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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

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

4 authors.

Weini Zhou *Department of Endocrinology, The People's Hospital of Chongqing Liang Jiang New Area, The Affiliated Liang Jiang Hospital of Chongqing Medical University, Chongqing, 401121, People's Republic of China.
Ziyang Zeng *Department of Anesthesiology, The First Affiliated Hospital of Chongqing University of Chinese Medicine, Chongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, People's Republic of China.
Xunjia LiDepartment of Nephrology, The First Affiliated Hospital of Chongqing University of Chinese Medicine, Chongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, People's Republic of China.
Mei YangDepartment of Endocrinology, The People's Hospital of Chongqing Liang Jiang New Area, The Affiliated Liang Jiang Hospital of Chongqing Medical University, Chongqing, 401121, People's Republic of China.ORCID 0009-0001-2001-2215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The molecular mechanism of diabetic nephropathy (DN) is still not fully understood. There is ample evidence that the immune system plays a crucial role in the progression of DN. Further exploration of immune-related genes (IRGs) for DN diagnosis is therefore of significant clinical value. Methods: Gene expression data from DN patients were obtained from the GEO database, and a weighted gene co-expression network analysis (WGCNA) was constructed. The overlapping IRGs derived by the least absolute shrinkage and selection operator (LASSO) and recursive feature elimination (RF) algorithms were identified as DN diagnostic biomarkers. A nomogram model was established to evaluate the diagnostic ability of feature biomarkers. The expression levels of the screened IRGs were validated in vitro using qRT-PCR. Type 2 diabetes mellitus (T2DM) mouse model with DN was also established to confirm the consistency with bioinformatic predictions. Results: Three IRG-related DN characteristic diagnostic biomarkers ( Conclusion: Our findings nominate

Indexed as

diabetic nephropathydiagnostic biomarkerimmune infiltrationimmune related genesmachine learning

Identifiers

PMID41064490
PMCPMC12502973

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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.