Evidence map›Paper›PMID 38972998›Full record

ArticleBMC immunology2024

Gut microbiota regulation of T lymphocyte subsets during systemic lupus erythematosus.

Fen-Ping Lian, Fen Zhang, Chun-Miao Zhao, Xu-Xia Wang, Yu-Jie Bu, Xing Cen, Gui-Fang Zhao, Sheng-Xiao Zhang, Jun-Wei Chen

Abstract read
In one paragraph

Article in BMC immunology, 2024. 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
–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

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

  1. Pooled it
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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

9 authors.

Fen-Ping Lian *Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030001, China.
Fen Zhang *Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030001, China.
Chun-Miao ZhaoDepartment of Rheumatology, Xi'an International Medical Center Hospital, Xi'an City, Shaanxi Province, China.
Xu-Xia WangDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030001, China.
Yu-Jie BuDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030001, China.
Xing CenDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030001, China.
Gui-Fang ZhaoDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030001, China.
Sheng-Xiao ZhangDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030001, China.
Jun-Wei ChenDepartment of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030001, China. jwchen2008@aliyun.com.

Funding

Natural Science Research Project of Shanxi Province 20210302123275
6 · The paper itself

Abstract

backgroundSystemic lupus erythematosus (SLE) is an autoimmune disease characterized by disturbance of pro-inflammatory and anti-inflammatory lymphocytes. Growing evidence shown that gut microbiota participated in the occurrence and development of SLE by affecting the differentiation and function of intestinal immune cells. The purpose of this study was to investigate the changes of gut microbiota in SLE and judge its associations with peripheral T lymphocytes.

methodsA total of 19 SLE patients and 16 HCs were enrolled in this study. Flow cytometry was used to detect the number of peripheral T lymphocyte subsets, and 16 s rRNA was used to detect the relative abundance of gut microbiota. Analyzed the correlation between gut microbiota with SLEDAI, ESR, ds-DNA and complement. SPSS26.0 software was used to analyze the experimental data. Mann-Whitney U test was applied to compare T lymphocyte subsets. Spearman analysis was used for calculating correlation.

resultsCompared with HCs, the proportions of Tregs (P = 0.001), Tfh cells (P = 0.018) and Naïve CD4 + T cells (P = 0.004) significantly decreased in SLE patients, and proportions of Th17 cells (P = 0.020) and γδT cells (P = 0.018) increased in SLE. The diversity of SLE patients were significantly decreased. Addition, there were 11 species of flora were discovered to be distinctly different in SLE group (P < 0.05). In the correlation analysis of SLE, Tregs were positively correlated with Ruminococcus2 (P = 0.042), Th17 cells were positively correlated with Megamonas (P = 0.009), γδT cells were positively correlated with Megamonas (P = 0.003) and Streptococcus (P = 0.004), Tfh cells were positively correlated with Bacteroides (P = 0.040), and Th1 cells were negatively correlated with Bifidobacterium (P = 0.005). As for clinical indicators, the level of Tregs was negatively correlated with ESR (P = 0.031), but not with C3 and C4, and the remaining cells were not significantly correlated with ESR, C3 and C4.

conclusionGut microbiota and T lymphocyte subsets of SLE changed and related to each other, which may break the immune balance and affect the occurrence and development of SLE. Therefore, it is necessary to pay attention to the changes of gut microbiota and provide new ideas for the treatment of SLE.

Indexed as

Gastrointestinal MicrobiomeLupus Erythematosus, SystemicT-Lymphocyte SubsetsAdultFemaleHumansMaleMiddle AgedTh17 CellsT-Lymphocytes, RegulatoryYoung AdultGut microbiotaSystemic lupus erythematosusT lymphocyte subsets

Identifiers

PMID38972998
PMCPMC11229189

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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.