Evidence map›Paper›PMID 37600067›Full record

ArticleJournal of immunology research2023

Analyzation of the Peripheral Blood Mononuclear Cells Atlas and Cell Communication of Rheumatoid Arthritis Patients Based on Single-Cell RNA-Seq.

Xinqiang Song, Yu Zhang, Lijun Zhao, Jinke Fan, Tao Peng, Ying Ma, Nailiang Guo, Xiaotong Wang, Xudong Liu, Zhe Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

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

  1. Pooled it
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  3. Review
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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 at 4 institutions in 2 countries.

Xinqiang SongCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.ORCID https://orcid.org/0000-0001-8119-8597
Yu ZhangCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.
Lijun ZhaoCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.
Jinke FanCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.
Tao PengCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.
Ying MaCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.
Nailiang GuoXinyang Central Hospital, Xinyang 464000, China.
Xiaotong WangCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.
Xudong LiuSchool of Medicine, Chongqing University, Chongqing 400044, China.
Zhe LiuDepartment of Computer Science, City University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0003-0726-2727
Lei WangCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.
Xinyang Normal University · CNChongqing University · CNCity University of Hong Kong · HKXinyang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rheumatoid arthritis (RA) is a common chronic inflammatory autoimmune disease with a multifactorial etiology. Peripheral blood is the main channel of the immune system, and peripheral blood mononuclear cells (PBMCs) are the immune cells that initiate the autoimmune inflammatory process. However, there are few reports on the mechanisms of peripheral blood immunity in RA. Methods: ScRNA-seq was performed on four RA samples and integrated with single-cell transcriptome data from four healthy control samples downloaded from publicly available databases for analysis. Results: A total of 52,073 cells were used for descending clustering analysis to map RA peripheral blood immune cells at single-cell resolution. Redimensional clustering analysis of four major immune cells (T cells, monocytes, B cells, and natural killer cells) revealed that double-negative T (DNT) cells were significantly altered in abundance and function. And a number of genes (including SOCS3, cAMP-responsive element modulator (CREM), B2M, MTFP1, RSRP1, and YWHAB) were specifically downregulated in DNT cells. RA T cells, especially DNT cells, exhibit significant metabolic defects and dysfunction, mainly in the form of inhibition of oxidative phosphorylation, ATP synthesis, and major histocompatibility complex (MHC)-I-mediated antigen presentation. In addition, cellular communication networks were established, and it was evident that RA is significantly attenuated in the number and intensity of cellular communication. Monocytes and T cells play key roles in the process of the immune inflammatory response through CCL and MHC-related pathways. Conclusions: This study describes the landscape of the peripheral blood immune system and cell communication in RA, characterizes the abundance of PBMCs, gene expression profiles, and changes in signaling pathways in RA patients, and identifies several key cell subpopulations (DNT and classic monocytes) and specific genes (SOCS3, CREM, B2M, MTFP1, RSRP1, and YWHAB). Meanwhile, we propose that classic monocytes in peripheral blood may migrate to sites of inflammation in synovial tissue under the chemotaxis of the chemokines CCL3 and CCL3L1, differentiate into macrophages, secrete proinflammatory cytokines, and thus participate in the inflammatory response. These findings provide new insights for the future elucidation of the peripheral blood immune mechanisms of RA and the search for new clinical therapeutic targets.

Indexed as

Arthritis, RheumatoidLeukocytes, MononuclearCell CommunicationHumansMonocytesSingle-Cell Gene Expression Analysis

Identifiers

PMID37600067
PMCPMC10439836
OpenAlexW4385775623

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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.