Evidence map›Paper›PMID 41949712›Full record

ReviewClinical rheumatology2026

Chimeric antigen receptor macrophage (CAR-M) immunotherapy in autoimmune inflammatory rheumatic diseases.

Ian C Chikanza, Lazaros I Sakkas

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ian C ChikanzaFaculty of Medicine, Catholic University, Harare, Zimbabwe. i.c.chikanza@btinternet.com.ORCID http://orcid.org/0000-0001-8602-0958
Lazaros I SakkasFaculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.ORCID http://orcid.org/0000-0002-7670-3314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic autoimmune inflammatory rheumatic diseases (AIRD), such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), juvenile idiopathic arthritis, systemic sclerosis (SSc), psoriatic arthritis (PsA), and ankylosing spondylitis (AS), are characterized by the dysregulation of the immune system and that of the neuroendocrine immune networks, leading to chronic inflammation and tissue damage. Perturbations of T, B, and macrophage cells result in uncontrolled inflammation. Traditional therapeutic approaches have focused on immunosuppressive drugs but more recently the use of biologics targeting specific cytokines or receptors on immune cells, and intracellular JAK pathways has been employed. However, these therapies often have limited efficacy and significant side effects. Moreover, they are not globally accessible due to high drug costs especially in poor as well as low- to middle-income countries. Cell immunotherapy, such as CAR-T and CAR-M cell therapy based on chimeric antigen receptor (CAR) technology, is opening up novel potential avenues for a precision approach to managing AIRD. This area is still experimental and in the research phase. This paper reviews the potential of CAR-M immunotherapy in AIRDs, highlighting its mechanisms of action and therapeutic applications.

Indexed as

Autoimmune DiseasesImmunotherapy, AdoptiveMacrophagesReceptors, Chimeric AntigenRheumatic DiseasesAnimalsHumansImmunotherapyReceptors, Chimeric AntigenAnkylosing spondylitis (AS)Autoimmune rheumatic diseaseCAR-M cellsCAR-T cellsCell immunotherapyChimeric antigen receptor (CAR) technologyJuvenile idiopathic arthritis (JIA)Rheumatoid arthritis (RA)Systemic lupus erythematosus (SLE)Systemic sclerosis

Identifiers

What OpenQuestion holds

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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.