Evidence map›Paper›PMID 42677257›Full record

ArticleTurkish journal of medical sciences2026

Changes in T-cell subsets and their association with disease severity in patients with alopecia areata.

Hatice Türk Daği, Hülya Özdemir, Mehmet Akyürek, Fatma Tunçez Akyürek, Hasibe Artaç

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 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

5 authors.

Hatice Türk DağiDepartment of Medical Microbiology, Faculty of Medicine, Selçuk University, Konya, Turkiye.ORCID https://orcid.org/0000-0002-0291-4987
Hülya ÖzdemirDepartment of Medical Biology, Faculty of Medicine, Selçuk University, Konya, Turkiye.ORCID https://orcid.org/0000-0002-0287-5260
Mehmet AkyürekDepartment of Dermatology, Osmaniye State Hospital, Osmaniye, Turkiye.ORCID https://orcid.org/0000-0003-0349-5531
Fatma Tunçez AkyürekDepartment of Dermatology, Faculty of Medicine, Selçuk University, Konya, Turkiye.ORCID https://orcid.org/0000-0002-9339-8331
Hasibe ArtaçDivision of Immunology and Allergy, Department of Pediatrics, Faculty of Medicine, Selçuk University, Konya, Turkiye.ORCID https://orcid.org/0000-0002-9807-2605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Alopecia areata (AA) is a nonscarring hair loss disorder characterized by genetic susceptibility, environmental triggers, and T-cell-mediated autoimmunity. While various CD4 Materials and methods: A total of 40 patients with AA and 40 healthy controls were enrolled. CD4 Results: Patients with AA exhibited significantly lower frequencies of Tc17 and Tc22 cells than healthy controls. CD4 Conclusion: Alopecia areata is associated with alterations in circulating T-cell subsets, particularly Tc17 and Tc22 subsets. Selected cytokine-producing and regulatory T-cell subsets are associated with disease activity. These findings support a heterogeneous and dynamic immune profile in AA and highlight the importance of multivariate approaches in identifying independent immunological correlates. Further studies integrating tissue-level analysis and longitudinal follow-up are needed to clarify the underlying mechanisms.

Indexed as

Alopecia AreataT-Lymphocyte SubsetsAdolescentAdultCase-Control StudiesCD8-Positive T-LymphocytesCytokinesFemaleFlow CytometryHumansMaleSeverity of Illness IndexT-Lymphocytes, RegulatoryTurkeyYoung AdultCytokinesAlopecia areatafollicular T-cell populationsregulatory T-cell populationsT-cell subsets

Identifiers

PMID42677257
PMCPMC13528726

What Socratic holds

Textmetadata
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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 Socratic graph.