Literature DB >> 32562575

Skin pH-dependent Staphylococcus aureus abundance as predictor for increasing atopic dermatitis severity.

Claudia Hülpüsch1, Karolina Tremmel1, Gertrud Hammel1, Madhumita Bhattacharyya1, Amedeo de Tomassi1, Thomas Nussbaumer1, Avidan U Neumann1, Matthias Reiger1,2, Claudia Traidl-Hoffmann1,3,2,4.   

Abstract

BACKGROUND: Atopic eczema (atopic dermatitis, AD) is characterized by disrupted skin barrier associated with elevated skin pH and skin microbiome dysbiosis, due to high Staphylococcus aureus loads, especially during flares. Since S aureus shows optimal growth at neutral pH, we investigated the longitudinal interplay between these factors and AD severity in a pilot study.
METHOD: Emollient (with either basic pH 8.5 or pH 5.5) was applied double-blinded twice daily to 6 AD patients and 6 healthy (HE) controls for 8 weeks. Weekly, skin swabs for microbiome analysis (deep sequencing) were taken, AD severity was assessed, and skin physiology (pH, hydration, transepidermal water loss) was measured.
RESULTS: Physiological, microbiome, and clinical results were not robustly related to the pH of applied emollient. In contrast to longitudinally stable microbiome in HE, S aureus frequency significantly increased in AD over 8 weeks. High S aureus abundance was associated with skin pH 5.7-6.2. High baseline S aureus frequency predicted both increase in S aureus and in AD severity (EASI and local SCORAD) after 8 weeks.
CONCLUSION: Skin pH is tightly regulated by intrinsic factors and limits the abundance of S aureus. High baseline S aureus abundance in turn predicts an increase in AD severity over the study period. This underlines the importance and potential of sustained intervention regarding the skin pH and urges for larger studies linking skin pH and skin S aureus abundance to understand driving factors of disease progression.
© 2020 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Staphylococcus aureuszzm321990; atopic dermatitis; microbiome; pH; skin

Mesh:

Year:  2020        PMID: 32562575     DOI: 10.1111/all.14461

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   13.146


  11 in total

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Review 2.  Advances and highlights in biomarkers of allergic diseases.

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Journal:  Allergy       Date:  2021-09-27       Impact factor: 14.710

Review 3.  [Dysbalance between the immune system and skin microbiome in chronic inflammatory dermatoses].

Authors:  Marcus Kuchner; Jana M Nemmer; Thomas Werfel; Bernhard Homey
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4.  Congenital Deficiency of Conventional Dendritic Cells Promotes the Development of Atopic Dermatitis-Like Inflammation.

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Review 5.  Skin Microbiota in Atopic Dermatitis.

Authors:  Dora Hrestak; Mario Matijašić; Hana Čipčić Paljetak; Daniela Ledić Drvar; Suzana Ljubojević Hadžavdić; Mihaela Perić
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Review 6.  Cytokine-Mediated Crosstalk Between Keratinocytes and T Cells in Atopic Dermatitis.

Authors:  Mélanie Humeau; Katia Boniface; Charles Bodet
Journal:  Front Immunol       Date:  2022-04-07       Impact factor: 8.786

Review 7.  Exploring the Role of Staphylococcus aureus in Inflammatory Diseases.

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Review 8.  An Overview of the Latest Metabolomics Studies on Atopic Eczema with New Directions for Study.

Authors:  Jamie Afghani; Claudia Traidl-Hoffmann; Philippe Schmitt-Kopplin; Matthias Reiger; Constanze Mueller
Journal:  Int J Mol Sci       Date:  2022-08-08       Impact factor: 6.208

Review 9.  [The skin microbiome-useful for diagnosis and therapy?]

Authors:  Claudia Hülpüsch; Matthias Reiger
Journal:  Hautarzt       Date:  2021-06-11       Impact factor: 0.751

Review 10.  Biomarkers for diagnosis and prediction of therapy responses in allergic diseases and asthma.

Authors:  Heimo Breiteneder; Ya-Qi Peng; Ioana Agache; Zuzana Diamant; Thomas Eiwegger; Wytske J Fokkens; Claudia Traidl-Hoffmann; Kari Nadeau; Robyn E O'Hehir; Liam O'Mahony; Oliver Pfaar; Maria J Torres; De-Yun Wang; Luo Zhang; Cezmi A Akdis
Journal:  Allergy       Date:  2020-09-30       Impact factor: 14.710

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