Evidence map›Paper›PMID 40210259›Full record

ArticleRMD open2025

Integration of transcriptome and immunophenotyping data highlights differences in the pathogenetic kinetics of B cells across immune-mediated disease.

Shinji Izuka, Toshihiko Komai, Takahiro Itamiya, Mineto Ota, Saeko Yamada, Yasuo Nagafuchi, Hirofumi Shoda, Kosuke Matsuki, Kazuhiko Yamamoto, Tomohisa Okamura and 1 more

Abstract read
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Article in RMD open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shinji IzukaDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-9724-4911
Toshihiko KomaiDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan KOMAIT-INT@h.u-tokyo.ac.jp FUJIOK-INT@h.u-tokyo.ac.jp.
Takahiro ItamiyaDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mineto OtaDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Saeko YamadaDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yasuo NagafuchiDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hirofumi ShodaDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kosuke MatsukiResearch Division, Chugai Pharmaceutical Co., Ltd, Yokohama, Kanagawa, Japan.
Kazuhiko YamamotoCenter for Integrative Medical Sciences, the Institute of Physical and Chemical Research (RIKEN), Yokohama, Kanagawa, Japan.ORCID 0000-0001-9037-3625
Tomohisa OkamuraDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Keishi FujioDepartment of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan KOMAIT-INT@h.u-tokyo.ac.jp FUJIOK-INT@h.u-tokyo.ac.jp.ORCID 0000-0001-7276-5254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo elucidate crucial immune cell subsets and associated immunological pathways by stratifying patients with immune-mediated diseases (IMDs) using immunophenotyping and transcriptomic approaches.

methodsWe conducted flow cytometric and transcriptomic analyses in 23 immune cell subsets derived from 235 patients with six IMDs, using our database, utilizing our database, ImmuNexUT. Patients were stratified based on immunophenotyping data. Subsequently, we examined clinical and transcriptomic differences among these stratified clusters.

resultsPatients with IMDs were stratified into two clusters based on their immunophenotypes. Cluster 1 was enriched with differentiated B cells, including unswitched memory B cells (USM B), switched memory B cells, double-negative B cells and plasmablasts, while cluster 2 was enriched with naïve B cells. Higher disease activity in rheumatoid arthritis and decreased respiratory functions in systemic sclerosis were observed in cluster 1, whereas the disease activity of systemic lupus erythematosus was higher in cluster 2. Numerous differentially expressed genes were detected in USM B. Cluster 1 was associated with glycosylation processes in USM B and elevated B cell-activating factor signalling from myeloid cells in B cells, while cluster 2 exhibited higher B-cell receptor signalling in USM B. Patients in cluster 2, which had an elevated age-associated B-cell signature, exhibited more frequent flares, suggesting that an increased proportion of naïve B cells with this signature is associated with poor prognosis.

conclusionImmunophenotyping-based clusters and transcriptome-based states revealed quantitative and qualitative differences in B cells. To predict IMD prognosis, assessing both the quantity and quality of naïve B cells may be crucial.

Indexed as

B-LymphocytesImmune System DiseasesImmunophenotypingTranscriptomeAdultAgedB-Lymphocyte SubsetsFemaleGene Expression ProfilingHumansMaleMiddle AgedRheumatoid ArthritisSystemic Lupus ErythematosusSystemic Sclerosis

Identifiers

PMID40210259
PMCPMC11987131

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