Evidence map›Paper›PMID 35419005›Full record

ArticleFrontiers in immunology2022

Discovery of Novel Circulating Immune Complexes in Lupus Nephritis Using Immunoproteomics.

Chenling Tang, Min Fang, Gongjun Tan, Shu Zhang, Bowen Yang, Yaxi Li, Ting Zhang, Ramesh Saxena, Chandra Mohan, Tianfu Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Biomarkers for systemic lupus erythematosus: A scoping review.Immunity, inflammation and disease · 2024
    Article
  8. Article
  9. Lupus Nephritis Biomarkers: A Critical Review.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
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

10 authors at 2 institutions in 1 country.

Chenling TangDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
Min FangDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
Gongjun TanDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
Shu ZhangDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
Bowen YangDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
Yaxi LiDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
Ting ZhangDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
Ramesh SaxenaDivision of Nephrology, University of Texas, Southwestern Medical Center, Dallas, TX, United States.
Chandra MohanDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
Tianfu WuDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States.
University of Houston · USThe University of Texas Southwestern Medical Center · US

Funding

UT Southwestern O'Brien Kidney Research Core CenterP30DK079328 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI MOE, ORSON W · 2007 to 2021
$16.9M
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 AG062987NIDDK NIH HHS P30 DK079328
6 · The paper itself

Abstract

Objective: The goal is to discover novel circulating immune complexes (ICx) in the serum of lupus nephritis (LN) as potential biomarkers. Methods: Protein A/G magnetic beads or C1q-coated plates were used to capture ICx in the serum of LN, followed by the identification of immunoglobulin-binding proteins using liquid chromatography and tandem mass spectrometry (LC-MS/MS). Bioinformatic approaches and single-cell RNA sequencing (scRNA Seq) databases were used to select potential candidate ICx markers in LN. The selected ICx markers were further validated using ELISA. Results: A total of 300 immunoglobulin-binding proteins were discovered in the screening, among which 77 proteins were detectable only in LN samples. Bioinformatics-assisted selection allowed us to further identify 10 potential immunoglobulin-binding proteins, which form ICx as potential biomarkers in LN. In a validation cohort of 62 LN patients and 21 healthy controls (HC), we found that prolyl 3-hydroxylase 1 (P3H1), phosphatase and actin regulator 4 (PHACTR4), and regulator of G-protein signaling 12 (RGS12) ICx exhibited discriminative capability in distinguishing LN from HC, with an area under the curve (AUC) values of 0.82, 0.99, and 0.90, respectively. Furthermore, a biomarker panel comprising CD14, CD34, cystatin A, myocyte enhancer factor 2C (MEF2C), RGS12, and ubiquitin C (UBC) ICx could distinguish active LN from inactive LN with an AUC value of 0.85, which is comparable to or better than pathological parameters such as renal activity index (AI) and renal chronicity index (CI). Conclusion: Immunoproteomics-based discovery studies have enabled us to identify circulating immune complexes as potential biomarkers of LN.

Indexed as

Antigen-Antibody ComplexLupus NephritisBiomarkersChromatography, LiquidFemaleHumansMaleTandem Mass SpectrometryAntigen-Antibody ComplexBiomarkersbiomarker panelbiomarkersimmune complex (ICx)immunoproteomicslupus nephritissystemic lupus erythematosus

Identifiers

PMID35419005
PMCPMC8996714
OpenAlexW4220719546

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.