Evidence map›Paper›PMID 42473984›Full record

ReviewInternational journal of dermatology2026

The Role of Tissue Resident Memory Cells in Immunodermatological Disorders.

Abhishek De, Disha Chakraborty, Seemal Desai, Emek Kocatürk Göncü, Sindhuja Sominidi Damodaran, Ivan Cherrez-Ojeda, Andreas Pinter

Abstract readReview
In one paragraph

Review in International journal of dermatology, 2026. 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. Editors Highlights-October 2026.International journal of dermatology · 2026
    Article
  2. Article
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.

Abhishek DeDepartment of Dermatology, Calcutta National Medical College and Hospital, Kolkata, India.ORCID https://orcid.org/0000-0001-5998-2430
Disha ChakrabortyDepartment of Dermatology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-3751-3702
Seemal DesaiDepartment of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Emek Kocatürk GöncüDepartment of Dermatology, Bahçeşehir University School of Medicine, Istanbul, Turkey.
Sindhuja Sominidi DamodaranDepartment of Dermatology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-4019-4834
Ivan Cherrez-OjedaRespiralab Research Group, Guayaquil, Ecuador.ORCID https://orcid.org/0000-0002-1610-239X
Andreas PinterDepartment of Dermatology, Venereology and Allergology, University Hospital Frankfurt, Frankfurt, Germany.ORCID https://orcid.org/0000-0002-1330-1502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue-resident memory T cells (TRMs) are a distinct memory T-cell subset that permanently reside in tissues such as the skin. In chronic immune-mediated dermatoses, including psoriasis, atopic dermatitis, and vitiligo, TRMs are implicated in site-specific "disease memory," contributing to persistence and relapse at previously affected sites. This review synthesizes emerging concepts on TRMs in chronic inflammatory skin diseases and discusses clinical and translational implications, including TRM-targeted therapies. Original human, animal, or in vitro studies evaluating TRMs in the pathogenesis or persistence of dermatologic diseases were included. In psoriasis, CD8

Indexed as

Dermatitis, AtopicImmunologic MemoryMemory T CellsPsoriasisSkinVitiligoAnimalsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesHumansalopecia areataatopic dermatitispsoriasisskin disorderstissue resident memory cellsvitiligo

Identifiers

PMID42473984
PMCPMC13569271

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.