Evidence map›Paper›PMID 40564097›Full record

ReviewBiomedicines2025

The Multi-Faceted Role of Gut Microbiota in Alopecia Areata.

Andrea Severino, Serena Porcari, Debora Rondinella, Enrico Capuano, Tommaso Rozera, Francesco Kaitsas, Antonio Gasbarrini, Giovanni Cammarota, Gianluca Ianiro

Abstract readReview
In one paragraph

Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

9 authors.

Andrea SeverinoDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0009-0005-2570-4914
Serena PorcariDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Debora RondinellaDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0002-3174-5094
Enrico CapuanoDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Tommaso RozeraDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0003-4253-8311
Francesco KaitsasDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0009-0000-0878-7619
Antonio GasbarriniDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0002-6230-1779
Giovanni CammarotaDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Gianluca IaniroDepartment of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0002-8318-0515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alopecia areata (AA) is a complex autoimmune disorder with multifactorial pathogenesis. Recent research highlights the gut microbiota as a possible key player in AA pathogenesis through the gut-skin axis: gut dysbiosis may disrupt intestinal barrier integrity and immune tolerance by affecting T regulatory cells, potentially contributing to disease onset and progression. The purpose of this review is to analyze the current evidence on the correlation between gut microbiota and AA, dissecting both the pathogenetic role of its alterations in the onset and progression of disease and its potential role as a therapeutic target.

Indexed as

alopecia areatafecal microbiota transplantationmicrobiota

Identifiers

PMID40564097
PMCPMC12189539

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.