Evidence map›Paper›PMID 40191091›Full record

ArticleJournal of inflammation research2025

Novel Biomarkers as Non-Invasive Diagnostic Tools in IgA Nephropathy: A Comparative Study with Lupus Nephritis and Membranous Nephropathy.

Xiaoxiao Liu, Yushuang Luo, Yiyu Huang, Mengfei Li, Ming Guo, Zheyi Dong, Jie Wu, Guangyan Cai, Hanyu Zhu, Kaifa Wang and 3 more

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

13 authors.

Xiaoxiao Liu *Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Yushuang Luo *Department of Mathematics and Statistics, Southwest University, Chongqing, People's Republic of China.
Yiyu HuangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Mengfei LiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Ming GuoDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Zheyi DongDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0001-7426-1666
Jie WuDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Guangyan CaiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0001-8586-6353
Hanyu ZhuDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Kaifa WangDepartment of Mathematics and Statistics, Southwest University, Chongqing, People's Republic of China.ORCID 0000-0002-6787-5018
Xiangmei ChenDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.ORCID 0000-0001-8774-6021
Ping LiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Qinggang LiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: The diagnostic value of endothelial-associated biomarkers in IgAN and their ability to differentiate it from other kidney diseases have not yet been clarified. Objective: This study aimed to investigate the diagnostic value of endothelial-associated biomarkers in IgAN patients. Methods and Results: This is a cross-sectional study involving 96 participants, with IgAN, LN, MN, and healthy subjects recruited in a 1:1:1:1 ratio. Seventy-five percent of the sample was used for developing a classification model, and the remaining 25% was used for constructing a validation cohort. Plasma levels of 12 endothelial-associated biomarkers were detected using multiplex immunoassay technology. Among all the biomarkers evaluated, VLA-4 and VEGFD were prioritized for distinguishing IgAN from other groups (p<0.001), with 85% classification accuracy. These two biomarkers also showed significant correlation with eGFR (VLA-4: Conclusion: VLA-4 and VEGFD emerge as robust, non-invasive biomarkers for IgAN diagnosis and may play significant roles in the pathogenesis of IgAN.

Indexed as

endothelial-associated biomarkersIgA nephropathymachine learningvascular injury

Identifiers

PMID40191091
PMCPMC11972577

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.