Evidence mapPaperPMID 41387231Full record

ArticleExperimental dermatology2025

Metabolic and Vascular Inflammation in Alopecia Areata: Linking Uric Acid, Lipid Imbalance and ICAM-1 Upregulation.

Madoc Dawson, Derek Pye, Rebecca Mahon, George Taylor, Asim Shahmalak, Bessam Farjo, Nilofer Farjo, Matthew Harries, Talveen S Purba

Abstract read
In one paragraph

Article in Experimental dermatology, 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. 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

9 authors.

Madoc DawsonCentre for Dermatology Research, Division of Musculoskeletal and Dermatological Sciences, School of Biosciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID https://orcid.org/0009-0009-0952-2976
Derek PyeCentre for Dermatology Research, Division of Musculoskeletal and Dermatological Sciences, School of Biosciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID https://orcid.org/0009-0006-2864-3114
Rebecca MahonCentre for Dermatology Research, Division of Musculoskeletal and Dermatological Sciences, School of Biosciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID https://orcid.org/0009-0005-6741-5838
George TaylorBiological Mass Spectrometry Facility, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-7305-8356
Asim ShahmalakCrown Clinic, Manchester, UK.ORCID https://orcid.org/0009-0008-8152-7985
Bessam FarjoFarjo Hair Institute, Manchester, UK.ORCID https://orcid.org/0000-0002-8662-6316
Nilofer FarjoFarjo Hair Institute, Manchester, UK.ORCID https://orcid.org/0000-0003-2461-1458
Matthew HarriesCentre for Dermatology Research, Division of Musculoskeletal and Dermatological Sciences, School of Biosciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID https://orcid.org/0000-0002-0563-8690
Talveen S PurbaCentre for Dermatology Research, Division of Musculoskeletal and Dermatological Sciences, School of Biosciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID https://orcid.org/0000-0003-3735-7735

Funding

Alopecia UK AUK2022_004National Institute for Health and Care Research NIHR203308Wellcome Trust
6 · The paper itself

Abstract

Alopecia areata (AA) is an inflammatory hair loss disorder caused by an immune-mediated attack of the hair follicle (HF) bulb. Active disease is characterised by a peribulbar proinflammatory infiltrate, HF immune privilege collapse and premature catagen induction, yet the underlying drivers of AA remain poorly understood. With comparable autoimmune inflammatory conditions displaying metabolic alterations, we hypothesised that AA is marked by similar pathobiological changes. To investigate this, we utilised an exploratory metabolomics-based discovery liquid chromatography mass spectrometry (LC-MS) approach. This yielded 32 putatively annotated metabolites significantly altered between lesional and nonlesional AA scalp. Notably, 13-HODE, a linoleic acid metabolite linked to vascular function, was decreased, whilst uric acid (UA), a purine degradation metabolite linked to vascular dysfunction, was increased in the lesional scalp. Moreover, serum LC-MS revealed elevated UA in AA compared to controls, which is linked to systemic endothelial dysfunction. CD31+/ICAM-1+ immunofluorescence co-expression analysis revealed elevated vascular inflammation and endothelial cell activation in the AA scalp. We also experimentally provoked the same response in ex vivo human HF culture via UA or fructose (which increases UA) supplementation. Interestingly, the fructose-generating polyol pathway enzymes, AKR1B1 and SORD, are expressed in the HF, with significantly increased AKR1B1 immunoreactivity in lesional AA HFs, suggesting that fructose can be locally generated by the HF and may contribute to elevated UA levels in AA. Together, these metabolic changes point towards UA-linked microvascular dysfunction in AA, inviting exploration of whether strategies to improve endothelial function and regulate UA are effective in managing AA.

Indexed as

Alopecia AreataIntercellular Adhesion Molecule-1Uric AcidAdultFemaleHair FollicleHumansInflammationLipid MetabolismMaleMiddle AgedScalpUp-RegulationICAM1 protein, humanIntercellular Adhesion Molecule-1Uric Acid

Identifiers

PMID41387231
PMCPMC12700771

What Socratic holds

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Registered trials

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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.