Evidence map›Paper›PMID 40388387›Full record

ArticlePloS one2025

Urinary MCP-1 and VCAM-1 as non-invasive biomarkers for the diagnosis and activity assessment of lupus nephritis.

Lichuan Lai, Chunle Wu, Xiaohua Li, Yuxiang Rong, Ying Huang, Bangqin Wang

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

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lichuan LaiDepartment of Laboratory, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.ORCID https://orcid.org/0009-0005-3834-8605
Chunle WuDepartment of Blood Transfusion, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Xiaohua LiDepartment of Rheumatology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Yuxiang RongDepartment of Laboratory, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Ying HuangDepartment of Laboratory, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Bangqin WangDepartment of Rheumatology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate diagnosis of lupus nephritis (LN) and effective assessment of its disease activity are essential for optimal management. This study aimed to evaluate the potential of novel urinary biomarkers, MCP-1 and VCAM-1, in diagnosing and assessing LN activity, comparing their efficacy to traditional urinary biomarkers, and proposing a new standard for clinical application.

methodsA total of 55 LN patients who met the 1997 ACR diagnostic criteria for systemic lupus erythematosus (SLE) and 34 healthy controls (HCs) were included in this study. The LN patients were categorized into two groups based on their SLE disease activity indices (SLEDAI): the inactive lupus nephritis (NALN) group (SLEDAI 0-4, n = 32) and the active lupus nephritis (ALN) group (renal SLEDAI ≥ 4, n = 22). Additionally, the patients were further classified into mild (SLEDAI 5-9), moderate (SLEDAI 10-14), and severe (SLEDAI > 14) subgroups. All LN patients underwent testing for urinary MCP-1 (uMCP-1), urinary VCAM-1 (uVCAM-1), urinary α1-microglobulin (u-α1MG), urinary β2-microglobulin (u-β2MG), urinary IgG (u-IgG), and urinary albumin (u-ALB), as well as a percutaneous renal biopsy.

resultsThe levels of urinary MCP-1 and VCAM-1 (uMCP-1 and uVCAM-1) in the LN group were significantly elevated compared to the HCs (uMCP-1: P < 0.001; uVCAM-1: P < 0.01). Receiver operating characteristic (ROC) curve analysis revealed that the diagnostic efficacy of uMCP-1 and uVCAM-1 surpassed that of traditional biomarkers (uMCP-1: AUC = 0.79, P < 0.001; uVCAM-1: AUC = 0.77, P < 0.001). Multivariate logistic regression demonstrated a significant association between uMCP-1 and uVCAM-1 levels and the occurrence of LN (P < 0.001). Furthermore, these novel biomarkers exhibited stronger correlations with SLEDAI scores than traditional biomarkers (P < 0.001). Notably, patients with ALN had significantly higher levels of uMCP-1 and uVCAM-1 compared to those with NALN (uMCP-1: P < 0.01; uVCAM-1: P < 0.01).

conclusionThe production of uMCP-1 and uVCAM-1 is closely associated with the onset and progression of LN (ISN/RPS: Class I - IV). These biomarkers may serve as valuable references for the diagnosis and prediction of LN and aid in the assessment of LN activity.

Indexed as

Chemokine CCL2Lupus NephritisVascular Cell Adhesion Molecule-1AdultBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedROC CurveSeverity of Illness IndexBiomarkersCCL2 protein, humanChemokine CCL2Vascular Cell Adhesion Molecule-1

Identifiers

PMID40388387
PMCPMC12088007

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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.