Evidence map›Paper›PMID 39009881›Full record

ArticleImmunologic research2024

Integration of single-cell and bulk RNA sequencing revealed immune heterogeneity and its association with disease activity in rheumatoid arthritis patients.

Xiaofan Mao, Maohua Shi, Beiying Zhang, Rongdang Fu, Mengyun Cai, Sifei Yu, Kairong Lin, Chuling Zhang, Dingru Li, Guoqiang Chen and 1 more

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Article in Immunologic research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

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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

11 authors.

Xiaofan Mao *Institute of Translational Medicine, The First People's Hospital of Foshan, Foshan, China.
Maohua Shi *Department of Rheumatology, The First People's Hospital of Foshan, Foshan, China.
Beiying Zhang *Institute of Translational Medicine, The First People's Hospital of Foshan, Foshan, China.
Rongdang Fu *Department of Hepatology, The First People's Hospital of Foshan, Foshan, China.
Mengyun CaiInstitute of Translational Medicine, The First People's Hospital of Foshan, Foshan, China.
Sifei YuInstitute of Translational Medicine, The First People's Hospital of Foshan, Foshan, China.
Kairong LinInstitute of Translational Medicine, The First People's Hospital of Foshan, Foshan, China.
Chuling ZhangInstitute of Translational Medicine, The First People's Hospital of Foshan, Foshan, China.
Dingru LiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Guoqiang ChenDepartment of Rheumatology, The First People's Hospital of Foshan, Foshan, China. 13929981788@139.com.
Wei LuoInstitute of Translational Medicine, The First People's Hospital of Foshan, Foshan, China. luowei_421@163.com.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2021A1515022155Basic and Applied Basic Research Foundation of Guangdong Province 2021A1515220018Basic and Applied Basic Research Foundation of Guangdong Province 2023A1515140160National Natural Science Foundation of China 82001742National Natural Science Foundation of China 82103347
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic, inflammatory, systemic autoimmune disease characterized by cartilage, bone damage, synovial inflammation, hyperplasia, autoantibody production, and systemic features. To obtain an overall profile of the immune environment in RA patients and its association with clinical features, we performed single-cell transcriptome and T-cell receptor sequencing of mononuclear cells from peripheral blood (PBMC) and synovial fluid (SF) from RA patients, integrated with two large cohorts with bulk RNA sequencing for further validation and investigation. Dendritic cells (DCs) exhibited relatively high functional heterogeneity and tissue specificity in relation to both antigen presentation and proinflammatory functions. Peripheral helper T cells (TPHs) are likely to originate from synovial tissue, undergo activation and exhaustion, and are subsequently released into the peripheral blood. Notably, among all immune cell types, TPHs were found to have the most intense associations with disease activity. In addition, CD8 effector T cells could be clustered into two groups with different cytokine expressions and play distinct roles in RA development. By integrating single-cell data with bulk sequencing from two large cohorts, we identified interactions among TPHs, CD8 cells, CD16 monocytes, and DCs that strongly contribute to the proinflammatory local environment in RA joints. Of note, the swollen 28-joint counts exhibited a more pronounced association with this immune environment compared to other disease activity indexes. The immune environment alternated significantly from PBMCs to SF, which indicated that a series of immune cells was involved in proinflammatory responses in the local joints of RA patients. By integrating single-cell data with two large cohorts, we have uncovered associations between specific immune cell populations and clinical features. This integration provides a rapid and precise methodology for assessing local immune activation, offering valuable insights into the pathophysiological mechanisms at play in RA.

Indexed as

Arthritis, RheumatoidSingle-Cell AnalysisAdultDendritic CellsFemaleGene Expression ProfilingHumansMaleMiddle AgedReceptors, Antigen, T-CellSequence Analysis, RNASynovial FluidTranscriptomeReceptors, Antigen, T-CellDisease activityImmune environmentRheumatoid arthritisSingle-cell sequencing

Identifiers

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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 Socratic graph.