Evidence map›Paper›PMID 39697333›Full record

ReviewFrontiers in immunology2024

From promise to practice: CAR T and Treg cell therapies in autoimmunity and other immune-mediated diseases.

Yannick Bulliard, Robert Freeborn, Molly Javier Uyeda, Daryl Humes, Ryan Bjordahl, David de Vries, Maria Grazia Roncarolo

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
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  7. In Vivo CAR-T Therapies-A New Era of Programmable Immunity.International journal of molecular sciences · 2026
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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

7 authors.

Yannick BulliardDepartment of Research and Development, Tr1X, Inc., San Diego, CA, United States.
Robert FreebornDepartment of Research and Development, Tr1X, Inc., San Diego, CA, United States.
Molly Javier UyedaDepartment of Research and Development, Tr1X, Inc., San Diego, CA, United States.
Daryl HumesDepartment of Research and Development, Tr1X, Inc., San Diego, CA, United States.
Ryan BjordahlDepartment of Research and Development, Tr1X, Inc., San Diego, CA, United States.
David de VriesDepartment of Research and Development, Tr1X, Inc., San Diego, CA, United States.
Maria Grazia RoncaroloDepartment of Research and Development, Tr1X, Inc., San Diego, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune diseases, characterized by the immune system's attack on the body's own tissues, affect millions of people worldwide. Current treatments, which primarily rely on broad immunosuppression and symptom management, are often associated with significant adverse effects and necessitate lifelong therapy. This review explores the next generation of therapies for immune-mediated diseases, including chimeric antigen receptor (CAR) T cell and regulatory T cell (Treg)-based approaches, which offer the prospect of targeted, durable disease remission. Notably, we highlight the emergence of CD19-targeted CAR T cell therapies, and their ability to drive sustained remission in B cell-mediated autoimmune diseases, suggesting a possible paradigm shift. Further, we discuss the therapeutic potential of Type 1 and FOXP3

Indexed as

Autoimmune DiseasesAutoimmunityImmunotherapy, AdoptiveReceptors, Chimeric AntigenT-Lymphocytes, RegulatoryAnimalsHumansReceptors, Chimeric AntigenautoimmunityCAR Tcell therapyTr1Tr1 cellsTreg

Identifiers

PMID39697333
PMCPMC11653210

What OpenQuestion holds

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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.