Evidence map›Paper›PMID 32210970›Full record

ArticleFrontiers in immunology2020

The Landscape and Prognosis Potential of the T-Cell Repertoire in Membranous Nephropathy.

Yu Zhang, Yabin Jin, Zhanwen Guan, Huishi Li, Zuhui Su, Chao Xie, Xiangping Chen, Xiaofen Liu, Yingming Pan, Peiyi Ye and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  4. Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

13 authors at 1 institution in 1 country.

Yu ZhangNephrology Department, The First People's Hospital of Foshan, Foshan, China.
Yabin JinClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Zhanwen GuanClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Huishi LiNephrology Department, The First People's Hospital of Foshan, Foshan, China.
Zuhui SuClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Chao XieNephrology Department, The First People's Hospital of Foshan, Foshan, China.
Xiangping ChenClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Xiaofen LiuNephrology Department, The First People's Hospital of Foshan, Foshan, China.
Yingming PanClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Peiyi YeNephrology Department, The First People's Hospital of Foshan, Foshan, China.
Lifang ZhangClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Yaozhong KongNephrology Department, The First People's Hospital of Foshan, Foshan, China.
Wei LuoClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
First People's Hospital of Foshan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membranous nephropathy (MN), a common pathological type of adult nephrotic syndrome, is an antibody-mediated kidney disease. It is widely accepted now that MN is an immune-related disease that involves the whole immune system. In this study, we analyzed the T-cell receptor beta chain (TCRβ) repertoire of the circulating T lymphocytes of MN patients and healthy controls using high-throughput sequencing. We compared multiple aspects of the TCRβ repertoire, including diversity and the Vβ and Jβ genes between MN patients and healthy controls, and we found that the diversities within the VJ cassette combination in the peripheral blood of MN patients were lower than in the healthy controls. We also found the TCRβ repertoire similarity between pre- and post-therapy could reflect the clinical outcome, and two Vβ genes in pre-therapy had the potential to predict the therapeutic effect. These findings indicated the potential of the TCRβ repertoire as non-invasive biomarkers for the prognosis prediction of MN. The characteristics of circulating T-lymphocyte repertoires shed light on MN detection, treatment, and surveillance.

Indexed as

AdolescentAdultAgedFemaleGenetic MarkersGenetic VariationGlomerulonephritis, MembranousHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrognosisReceptors, Antigen, T-Cell, alpha-betaT-LymphocytesYoung AdultGenetic MarkersReceptors, Antigen, T-Cell, alpha-betaclinical responsehigh-throughput sequencingmembranous nephropathynon-invasive biomarkersT-cell receptor repertoire

Identifiers

PMID32210970
PMCPMC7076165
OpenAlexW3010659509

What OpenQuestion holds

Textmetadata
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.