Evidence map›Paper›PMID 35534581›Full record

ReviewMolecular biology reports2022

Harnessing the inherent power of chimeric antigen receptor (CAR)-expressing regulatory T cells (CAR-Tregs) to treat autoimmune-related disorders.

Fatemeh Rezaei Kahmini, Shahab Shahgaldi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 6 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

2 authors at 2 institutions in 1 country.

Fatemeh Rezaei KahminiAutoimmune Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. Diba.rezaei@yahoo.com.ORCID http://orcid.org/0000-0001-6643-3931
Shahab ShahgaldiDepartment of Immunology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Shiraz University of Medical Sciences · IRTarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past years, adoptive cell therapy with regulatory T lymphocytes (Tregs) has captured the attention of many scientists and clinicians as a novel promising approach for treating a wide range of immune-mediated disorders. In particular, the robust immunosuppressive properties of these cells have been demonstrated to make them uniquely valuable for the treatment of autoimmune diseases. More recently, it has been brought to light that adoptive transfer of chimeric antigen receptor (CAR) Tregs (CAR-Tregs) can also serve a protective role against autoimmune-related disorders. Interestingly, a growing body of evidence indicates that the beneficial and therapeutic effects of antigen-specific CAR-Tregs surpass those of polyclonal Tregs in treating autoimmune conditions. Therefore, harnessing and adapting CAR technology to generate more specific and effective CAR-Tregs, both in terms of tissue localization and antigen recognition, may lay the foundations for the development of far more potent immunotherapeutic strategies for autoimmune-related disorders. Herein, we first highlight the major immunosuppressive abilities of CAR-Tregs and further summarize the current findings on their potential applications in treating autoimmune-related disorders. Then, we will attempt to address the practical challenges in the clinical use of CAR-Treg therapies.

Indexed as

Autoimmune DiseasesReceptors, Chimeric AntigenHumansImmunotherapy, AdoptiveT-Lymphocytes, RegulatoryReceptors, Chimeric AntigenAutoimmune diseasesCAR-TregsCellular immunotherapyChimeric antigen receptorRegulatory T cell

Identifiers

PMID35534581
OpenAlexW4229454738

What OpenQuestion holds

Textmetadata
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.