Evidence map›Paper›PMID 28410377›Full record

ArticlePloS one2017

Plasma from patients with anti-glomerular basement membrane disease could recognize microbial peptides.

Jian-Nan Li, Xiaoyu Jia, Yongqiang Wang, Can Xie, Taijiao Jiang, Zhao Cui, Ming-Hui Zhao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Can we cure vasculitis?Current opinion in immunology · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Experimental Antiglomerular Basement Membrane GN Induced by a Peptide fromJournal of the American Society of Nephrology : JASN · 2020
    Article
  6. Article
  7. Goodpasture's autoimmune disease - A collagen IV disorder.Matrix biology : journal of the International Society for Matrix Biology · 2018
    Review
  8. 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

7 authors at 4 institutions in 1 country.

Jian-Nan LiRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Xiaoyu JiaRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Yongqiang WangKey Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Can XieState Key Laboratory of Membrane Biology, Laboratory of Molecular Biophysics, School of Life Sciences, Peking University, Beijing, China.
Taijiao JiangKey Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Zhao CuiRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Ming-Hui ZhaoRenal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Peking University First Hospital · CNPeking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNInstitute of Biophysics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection has long been suspected as a trigger of autoimmune diseases, and molecular mimicry mechanism was hypothesized in this study. Microbe originated peptides were searched from the Uniprot database based on a previous defined critical amino acid motif within α3129-150, isoleucine137, tryptophan140, glycine142, phenylalanine 143 and phenylalanine 145. 23826 microbial peptides were identified using our searching strategy, among which seven were related with human infections. Circulating IgG and IgM antibodies against the seven microbial peptides were detected using ELISA in 76 patients with anti-GBM disease. Four peptides were recognized by both IgG and IgM antibodies, and one peptide was recognized by IgG antibodies only. Peptides from Bacteroides, Saccharomyces cerevisiae, and Bifidobacterium thermophilum possessed the highest recognition frequency with the prevalence of 73.7%, 61.8% and 67.1% for IgG, 56.6%, 44.7% and 67.1% for IgM in anti-GBM patients. Patients with antibodies against these microbial peptides showed more severe kidney injury, including higher serum creatinine and higher percentage of crescent formation. In conclusion, antibodies against microbial peptides were identified in the circulation of anti-GBM patients, implying its etiological role in eliciting autoimmune response against α3(IV)NC1 through molecular mimicry.

Indexed as

Acute Kidney InjuryAdultAmino Acid SequenceAntibodies, Antineutrophil CytoplasmicAnti-Glomerular Basement Membrane DiseaseBacteroidesBifidobacteriumCreatinineDatabases, ProteinFemaleGenotypeHLA-DRB1 ChainsHumansImmunoglobulin GImmunoglobulin MMaleAntibodies, Antineutrophil CytoplasmicCreatinineHLA-DRB1*11 antigenHLA-DRB1 ChainsImmunoglobulin GImmunoglobulin MPeptides

Identifiers

PMID28410377
PMCPMC5391914
OpenAlexW2606638298

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.