Evidence map›Paper›PMID 36008863›Full record

ArticleArthritis research & therapy2022

Both T and B cells are indispensable for the development of a PBMC transfer-induced humanized mouse model for SSc.

Yaqing Shu, Xiaoyang Yue, Jacqueline Wax, Brigitte Kasper, Junping Yin, Xiaoqing Wang, Liang Zhang, Marjan Ahmadi, Harald Heidecke, Antje Müller and 4 more

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

14 authors at 4 institutions in 2 countries.

Yaqing Shu *Priority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Xiaoyang Yue *Priority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Jacqueline WaxPriority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Brigitte KasperPriority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Junping YinPriority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Xiaoqing WangPriority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Liang ZhangPriority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Marjan AhmadiPriority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Harald HeideckeDepartment of Histology and Embryology, School of Basic Medical Science, Guangxi Medical University, Nanning, Guangxi, China.
Antje MüllerCellTrend GmbH, Im Biotechnologiepark, 14943, Luckenwalde, Germany.
Peter LamprechtDepartment of Rheumatology, University of Lübeck, 23538, Lübeck, Germany.
Xinhua YuPriority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany.
Gabriela RiemekastenCellTrend GmbH, Im Biotechnologiepark, 14943, Luckenwalde, Germany. Gabriela.Riemekasten@uksh.de.
Frank PetersenPriority Area Chronic Lung Diseases, Research Center Borstel, Member of the German Center for Lung Research (DZL), 23845, Borstel, Germany. fpetersen@fz-borstel.de.
German Center for Lung Research · DEGuangxi Medical University · CNThird Affiliated Hospital of Sun Yat-sen University · CNUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, a novel humanized mouse model for systemic sclerosis (SSc) was established by transferring peripheral blood mononuclear cells (PBMC) from patients with SSc to Rag2

methodsT and B cells were depleted in vitro from freshly isolated PBMC using anti-CD3 and anti-CD19 magnetic microbeads, respectively. Subsequently, PBMC and T or B cell-depleted PBMC were transferred into Rag2

resultsMice transferred with whole PBMC from SSc patients developed systemic inflammation in the lungs, kidneys, and liver, and 6 out of 11 mice died or had to be sacrificed during the experiment. By contrast, such inflammation and death were not observed in mice transferred with corresponding T or B cell-depleted PBMC. In line with this finding, transfer with whole PBMC restored the splenic white pulp composing of human T, B, and plasma cells and led to the production of a considerable amount of human autoantibodies in recipient mice, while those immunological features were rarely observed in mice that received T or B cell-depleted PBMC. In contrast to our previous findings demonstrating a transfer of the protective effect of a B cell therapy into the mouse, treatment of SSc patients with chemical immunosuppressive drugs did not affect the pathogenicity of PBMC.

conclusionsThis study demonstrates that both T and B cells are indispensable for the pathogenesis of the PBMC transfer-induced mouse model for SSc.

Indexed as

Leukocytes, MononuclearScleroderma, SystemicAnimalsB-LymphocytesDisease Models, AnimalHumansInflammationMiceAutoantibodiesAutoimmune diseasesB cellsImmunosuppressive drugsPeripheral blood mononuclear cellsSystemic inflammationSystemic sclerosisT cells

Identifiers

PMID36008863
PMCPMC9404611
OpenAlexW4293036390

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.