Evidence map›Paper›PMID 39767148›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Urinary Immune Complexes Reflect Renal Pathology in Lupus Nephritis.

Chenling Tang, Aygun Teymur, Tianfu Wu

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Chenling TangDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.ORCID 0000-0001-9037-1179
Aygun TeymurDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.ORCID 0009-0005-1206-433X
Tianfu WuDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.ORCID 0000-0003-4406-1449

Funding

A biomarker panel based smart mini-array system for the homecare of autoimmune kidney diseasesR01AG062987 · NIA · UNIVERSITY OF HOUSTON · PI WU, TIANFU · 2019 to 2023
$2.2M
NIA NIH HHS R01 AG062987NIH HHS R01AG062987
6 · The paper itself

Abstract

BACKGROUND/

objectivesLupus nephritis (LN) is a serious complication of systemic lupus erythematosus (SLE), involving immune complex deposition in the kidneys. While renal biopsy is the diagnostic gold standard, its invasiveness limits frequent use, driving the need for non-invasive urinary biomarkers to monitor disease progression and response to treatment. This study aimed to identify and validate urinary biomarkers for LN.

methodsData from 10 LN-related omics databases, including urine, PBMCs, and kidney tissue, were analyzed. Differentially expressed proteins (DEPs) and genes (DEGs) were identified, and candidate biomarkers were validated via ELISA in an independent cohort of 87 urine samples.

resultsWe identified 78 biomarkers, with 14 overlapping across transcriptomic categories. Novel urinary biomarkers, including SERPING1, SLPI, and CD48, were validated. Urinary CD163, VCAM1, and ALCAM levels showed significant differences between LN and healthy controls, while urinary immune complexes (ICx) demonstrated superior diagnostic performance, with urinary ALCAM-ICx and CCL21-ICx achieving the highest AUC values.

conclusionsOur findings highlight the potential of urinary immune complexes and antigens as non-invasive biomarkers for LN. ALCAM, CD163, and SERPING1-ICx, in particular, were found as promising candidates for a urinary biomarker panel to aid in the diagnosis and monitoring of LN.

Indexed as

immune complexlupus nephritismachine learningpoint-of-care testingurinary biomarkers

Identifiers

PMID39767148
PMCPMC11727095

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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.