Evidence map›Paper›PMID 41087625›Full record

ArticleImmunologic research2025

Systematic correlation analysis of human CD molecules reveals upregulated co-expression of CD58, CD63, and CD147 in patients with primary Sjögren's syndrome.

Chenfeng Jiang, Ziqi Xiong, Zhao Guan, Dong Xie, Ting Li, Ayibaota Bahabayi, Zhonghui Zhang, Yiming Gao, Chen Liu, Pingzhang Wang

Abstract read
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Article in Immunologic research, 2025. 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
–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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Chenfeng Jiang *Department of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research On Major Immunology-Related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Ziqi Xiong *Department of Clinical Laboratory, Peking University People's Hospital, #11 Xizhimen South Street, Beijing, 100044, China.
Zhao Guan *Department of Clinical Laboratory, Peking University People's Hospital, #11 Xizhimen South Street, Beijing, 100044, China.
Dong XieDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research On Major Immunology-Related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Ting LiDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research On Major Immunology-Related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Ayibaota BahabayiDepartment of Clinical Laboratory, Peking University People's Hospital, #11 Xizhimen South Street, Beijing, 100044, China.
Zhonghui ZhangDepartment of Clinical Laboratory, Peking University People's Hospital, #11 Xizhimen South Street, Beijing, 100044, China.
Yiming GaoDepartment of Clinical Laboratory, Peking University People's Hospital, #11 Xizhimen South Street, Beijing, 100044, China.
Chen LiuDepartment of Clinical Laboratory, Peking University People's Hospital, #11 Xizhimen South Street, Beijing, 100044, China. liuchen-best@pku.edu.cn.
Pingzhang WangDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research On Major Immunology-Related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China. wangpzh@bjmu.edu.cn.

Funding

National Natural Science Foundation of China 32270990
6 · The paper itself

Abstract

Clusters of Differentiation (CD) molecules are cell surface molecules that exhibit dynamic expression on immune cells. This plasticity characteristic of CD molecules is the basis for the high abundance and diversity of immune cell phenotypes. However, phenotypic associations of immune cells due to co-expression and mutual exclusion expression lead to some extent to a narrowing of the size of the immunophenotype repertoire. Therefore, a systematic exploration of the expression correlation including co-expression and mutual exclusion expression between CD molecules can help to reveal the co-phenotype and lost phenotypes during immunophenotyping analysis. In this study, using bioinformatics methods, we first confirmed that the conventional widely used Pearson and Spearman correlations are only suitable for co-expression but not for mutual exclusion expression analysis. Using bulk and single-cell RNA sequencing data, we systematically investigated the expression correlation and anti-correlation or mutual exclusion of 386 protein-encoding CD molecules in human CD4

Indexed as

BasiginCD58 AntigensSjogren's SyndromeTetraspanin 30B-LymphocytesCD8-Positive T-LymphocytesComputational BiologyFemaleHumansImmunophenotypingSingle-Cell AnalysisUp-RegulationBasiginBSG protein, humanCD58 AntigensCD63 protein, humanTetraspanin 30CD147CD58CD63Co-expressionGene plasticityMutual exclusionPrimary Sjögren’s syndrome

Identifiers

PMID41087625

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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.