Evidence map›Paper›PMID 34268394›Full record

ArticleAnnals of translational medicine2021

Low serum IgG4 level: a potential diagnostic biomarker for IgA nephropathy.

Xinyu Tian, Zhuan Cui, Song Wang, Yuejuan Pan, A Lata, Xinxin Chen, Xiaoxiao Wang, Xiaoyan Qiu, Zhenling Deng, Yue Wang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. 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
0.1field-weighted citation impact, top 53% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Xinyu TianDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Zhuan CuiDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Song WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Yuejuan PanDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
A LataDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Xinxin ChenDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Xiaoxiao WangResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
Xiaoyan QiuDepartment of Immunology, Peking University Health Science Center, Beijing, China.
Zhenling DengDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Yue WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Peking University · CNPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn contrast to intense investigations of galactose-deficient immunoglobulin A (IgA)1 specific immunoglobulin G (IgG), little is known about the IgG subclasses in IgA nephropathy (IgAN). Low IgG4 levels in IgAN were noticed in our preliminary experiment. We aimed to verify the low IgG4 levels and investigate the related immune mechanism in IgAN.

methodsA total of 112 healthy controls (HC) and 112 newly diagnosed IgAN patients were enrolled in this study. Patients with idiopathic membranous nephropathy (IMN), minimal change disease (MCD), or lupus nephritis (LN) were selected as disease controls (DC) (n=122). Serum IgG4 and IgG levels were detected by enzyme-linked immunosorbent assay (ELISA). The IgG4

resultsBoth IgG4 levels and IgG4/IgG in IgAN were lower than HC and DC (all P<0.001). Severe IgAN displayed lower IgG4 levels than mild IgAN (P=0.039). Patients with higher risk of renal progression (>50%) demonstrated lower IgG4 levels than lower-risk (≤15%) patients (P=0.019). The cutoff value of IgG4 in differentiating IgAN from HC and DC was 0.26 mg/mL [sensitivity 98.2%, specificity 82.4%, area under the curve (AUC): 0.941, P<0.0001] and 0.17 mg/mL (sensitivity 90.2%, specificity 85.2%, AUC: 0.937, P<0.0001), respectively. IgG4/IgG displayed similar diagnostic and differential ability. The IgG4

conclusionsSerum IgG4 levels were low in IgAN. Lower IgG4 levels indicated more severe disease conditions and higher risk of renal progression. Low serum IgG4 seemed to be a potential diagnostic biomarker for IgAN. Decreased IgG4

Indexed as

biomarkerB lymphocytesIgA nephropathy (IgAN)immunoglobulin G4 (IgG4)T helper 2 cells (Th2 cells)

Identifiers

PMID34268394
PMCPMC8246212
OpenAlexW3154047143

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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.