Evidence map›Paper›PMID 29370826›Full record

ArticleArthritis research & therapy2018

BANK1 alters B cell responses and influences the interactions between B cells and induced T regulatory cells in mice with collagen-induced arthritis.

Jie Yang, Jie Ren, Yiming Yang, Juan Sun, Xiaohui Zhou, Shucong Zheng, Dandan Xuan, Yu Xue, Huimin Fan, Jiong Zhang and 3 more

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. The immune cell atlas of human neuroblastoma.Cell reports. Medicine · 2022
    Article
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  7. Review
  8. Article
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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

13 authors.

Jie YangBlood Engineering Lab, Shanghai Blood Center, Shanghai, China.
Jie RenDepartment of Rheumatology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, 200040, Shanghai, China.
Yiming YangBlood Engineering Lab, Shanghai Blood Center, Shanghai, China.
Juan SunBlood Engineering Lab, Shanghai Blood Center, Shanghai, China.
Xiaohui ZhouResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shucong ZhengDepartment of Rheumatology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, 200040, Shanghai, China.
Dandan XuanDepartment of Rheumatology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, 200040, Shanghai, China.
Yu XueDepartment of Rheumatology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, 200040, Shanghai, China.
Huimin FanResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Jiong ZhangDepartment of Rheumatology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, 200040, Shanghai, China.
Hejian ZouDepartment of Rheumatology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, 200040, Shanghai, China.
Weiguo WanDepartment of Rheumatology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, 200040, Shanghai, China.
Ning KongDepartment of Rheumatology, Huashan Hospital, Fudan University, No. 12 Wulumuqi Zhong Road, 200040, Shanghai, China. nkong@unirheuma.org.ORCID 0000-0002-3788-9400

Funding

the Foundation of Shanghai Municipal Commission of Health and Family Planning 201640096the National Natural Science Fundation of China 81302571the Natural Science Fundation of Science and Technology Commission of Shanghai Municipal of China 13ZR1452100the Shanghai Public Health Construction Projects Foundation 15GWZK0501
6 · The paper itself

Abstract

backgroundFunctional variants of the B cell gene, B cell scaffold protein with ankyrin repeats 1 (BANK1) contribute to rheumatoid arthritis (RA) susceptibility, but their influences on B cell responses are unclear. Moreover, the function of induced T regulatory cells (iTregs) in the inflammatory milieu in a collagen-induced arthritis (CIA) model is unknown. This study was performed to investigate the roles of BANK1 in CIA and the interaction between B cells and iTregs.

methodsThe changes in BANK1 mRNA and protein levels and their correlation with disease severity in CIA were determined. Next, the antigen-presenting function and autoantibody production in B cells were evaluated by co-culture with effector T cells and iTregs, respectively, both in vitro and in vivo. Then, the mechanisms underlying these interactions were studied by adding neutralizing antibodies or transwell inserts and by adoptive transfer to B-cell-depleted CIA mice.

resultsThe BANK1 level decreased in the peripheral blood, spleen and lymph nodes of CIA mice, particularly during the acute stage of arthritis, and exhibited negative correlation with disease severity and autoantibody production. B cell responses were enhanced by this decrease. B cells from CIA mice (CIA-B cells) promoted iTreg differentiation, proliferation and cytotoxic T lymphocyte-associated protein-4 (CTLA-4) expression. Meanwhile, BANK1 expression in CIA-B cells increased after co-culture with iTregs, limiting B cell responses. All these interactions depended on cell contact with CTLA-4-overexpressing iTregs but were independent of CTLA-4 cytokine.

conclusionDecreased BANK1 expression promotes B cell responses, resulting in an increased antigen presentation ability and autoantibody production that subsequently influences the communication between B cells and iTregs through a cell-contact-dependent and CTLA-4- cytokine-independent mechanism in CIA mice.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsAntigen PresentationArthritis, ExperimentalB-LymphocytesCell CommunicationCell DifferentiationCoculture TechniquesCytokinesGene ExpressionGranzymesMaleMice, Inbred DBAT-Lymphocytes, RegulatoryAdaptor Proteins, Signal TransducingBANK1 protein, mouseCytokinesGranzymesGzmb protein, mouse

Identifiers

PMID29370826
PMCPMC5785884

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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.