Evidence map›Paper›PMID 41208643›Full record

ReviewImmunity, inflammation and disease2025

Chimeric Antigen Receptor T-Cell Therapy and Autoimmune Diseases in the Nervous System.

Shun-Yu Yao, Miao-Qiao Du, Huan Yang, Qiu-Ming Zeng, Hao Zhou, Xiuli Zhang, Sugimoto Kazuo, Jia Liu, Lan-Xin Lin, Xu-Hui Kang and 2 more

Abstract readReview
In one paragraph

Review in Immunity, inflammation and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Review
  2. Review
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

12 authors.

Shun-Yu YaoDepartment of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China.
Miao-Qiao DuDepartment of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China.
Huan YangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qiu-Ming ZengDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hao ZhouDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiuli ZhangScience and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, China.
Sugimoto KazuoDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jia LiuDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Lan-Xin LinDepartment of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China.
Xu-Hui KangDepartment of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China.
Dai-Yi JiangDepartment of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China.
Yong PengDepartment of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China.ORCID https://orcid.org/0000-0001-8390-7668

Funding

This study was supported by the Scientific Research Project of the Hunan Provincial Health Commission, China (No. C202303076574 to Y.P.); Key Plans of Hunan Administration of Traditional Chinese Medicine, PR China (no. A2023039 to Y.P.), University-Hospital Joint Fund of Hunan University of Chinese Medicine, PR China (No. 2022XYLH198 to Y.P.), Fund for Creative Research Group of Affiliated First Hospital of Hunan Traditional Chinese Medical College, PR China (No. 2021B-003 to Y.P.), and Technology Plan Project of Zhuzhou City, Hunan Province, PR China (No. 2021-009 to Y.P.).
6 · The paper itself

Abstract

introductionChimeric antigen receptor T-cell (CAR-T) therapy, a revolutionary immunotherapy originally developed for hematologic malignancies, has recently gained attention for its potential in treating autoimmune diseases. Increasing evidence suggests that CAR-T cells can precisely target pathogenic immune populations, offering durable remission and immune homeostasis restoration in neuroimmunological disorders such as myasthenia gravis (MG), neuromyelitis optica spectrum disorder (NMOSD), and multiple sclerosis (MS).

methodsRelevant publications and clinical trial data up to September 2025 were systematically reviewed to summarize the mechanisms, therapeutic targets, safety profiles, and translational applications of CAR-T therapy in autoimmune diseases of the nervous system.

resultsPreclinical and early clinical studies demonstrate that CD19- and BCMA-directed CAR-T therapies effectively deplete autoreactive B cells with significant symptom improvement and minimal cytokine release syndrome or neurotoxicity. Novel constructs such as chimeric autoantibody receptor (CAAR)-T and CAR-regulatory T (CAR-Treg) cells enhance specificity and immune tolerance. Innovations including allogeneic "off-the-shelf" CAR-T, in vivo CAR engineering, and CRISPR-based safety switches further optimize therapeutic potential and accessibility.

conclusionCAR-T therapy represents a promising frontier for refractory neuroautoimmune diseases. By precisely modulating immune networks, it offers a pathway toward long-term remission and personalized immunotherapy in clinical neuroimmunology.

Indexed as

Autoimmune DiseasesImmunotherapy, AdoptiveReceptors, Chimeric AntigenAnimalsHumansReceptors, Antigen, T-CellReceptors, Antigen, T-CellReceptors, Chimeric Antigenautoimmune diseasesautoimmune encephalitisCAR‐T therapyGuillain–Barré syndromemultiple sclerosisMyasthenia Gravismyelin oligodendrocyte glycoprotein antibody‐associated diseaseneuromyelitis optica spectrum disorder

Identifiers

PMID41208643
PMCPMC12598406

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.