Evidence map›Paper›PMID 40247929›Full record

ReviewBiomedical reports2025

Molecular insights into T cell development, activation and signal transduction (Review).

Isra Omar, Ahmed Alakhras, Samahir Mutwali, Moiz Bakhiet

Abstract readReview
In one paragraph

Review in Biomedical reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Isra OmarDepartment of Clinical Medicine, College of Medicine, Almaarefa University, 11597 Riyadh, Kingdom of Saudi Arabia.
Ahmed AlakhrasDepartment of Clinical Medicine, College of Medicine, Almaarefa University, 11597 Riyadh, Kingdom of Saudi Arabia.
Samahir MutwaliTeleGeriatric Research Fellowship Program, Michigan State University, MI 48824, USA.
Moiz BakhietDepartment of Molecular Medicine and Medical Science, Arabian Gulf University, Manama 328, Kingdom of Bahrain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cell modulation plays a fundamental role to adaptive and innate immunity, which aids the recognition and defense against pathogens while also maintaining self-tolerance. Numerous molecular pathways participate in this process including thymic selection, T cell receptor and antigen-presenting cells cross linkage, along with co-stimulatory signaling cascades. The present review demonstrates a holistic analysis of various classic and novel mechanisms that govern T cell regulation and emerging therapeutic applications. Recent advancements have introduced novel roles in the journey of T cell modulation that can have a pivotal impact on the understanding of this process; for example, phase separation of the linker for activation of T cells, and the newer application of chimeric antigen receptor (CAR) T cell therapy in autoimmune diseases. While discoveries of proximal and distal signal transduction pathways have contributed to the comprehension of T cell anergy, cytokine-mediated differentiation and the delicate balance between immune activation and tolerance, there are still unresolved debates about further molecular mechanisms. There are also still questions about the long-term side effects of CAR-T cell therapy. Deeper research and analysis are required to further aid the understanding and use of this novel therapeutic approach.

Indexed as

adaptive immunitychimeric antigen receptor T cell therapy distal signal transductionco-stimulatory signalscytokine-mediated differentiationimmunotherapylinker for activation of T cells phase separationT cell activationT cell regulationthymic selection

Identifiers

PMID40247929
PMCPMC12001230

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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.