Skin microbiome and its association with host cofactors in determining atopic dermatitis severity

  • Background Atopic dermatitis (AD) is a heterogeneous, chronic inflammatory skin disease linked to skin microbiome dysbiosis with reduced bacterial diversity and elevated relative abundance of Staphylococcus aureus (S. aureus). Objectives We aimed to characterize the yet incompletely understood association between the skin microbiome and patients' demographic and clinical cofactors in relation to AD severity. Methods The skin microbiome in 48 adult moderate-to-severe AD patients was investigated using next-generation deep sequencing (16S rRNA gene, V1–V3 region) followed by denoising (DADA2) to obtain amplicon sequence variant (ASV) composition. Results In lesional skin, AD severity was associated with S. aureus relative abundance (rS = 0.53, p < 0.001) and slightly better with the microbiome diversity measure Evenness (rS = −0.58, p < 0.001), but not with Richness. Multiple regression confirmed the association of AD severity with microbiome diversity, including ShannonBackground Atopic dermatitis (AD) is a heterogeneous, chronic inflammatory skin disease linked to skin microbiome dysbiosis with reduced bacterial diversity and elevated relative abundance of Staphylococcus aureus (S. aureus). Objectives We aimed to characterize the yet incompletely understood association between the skin microbiome and patients' demographic and clinical cofactors in relation to AD severity. Methods The skin microbiome in 48 adult moderate-to-severe AD patients was investigated using next-generation deep sequencing (16S rRNA gene, V1–V3 region) followed by denoising (DADA2) to obtain amplicon sequence variant (ASV) composition. Results In lesional skin, AD severity was associated with S. aureus relative abundance (rS = 0.53, p < 0.001) and slightly better with the microbiome diversity measure Evenness (rS = −0.58, p < 0.001), but not with Richness. Multiple regression confirmed the association of AD severity with microbiome diversity, including Shannon (in lesional skin, p < 0.001), Evenness (in non-lesional skin, p = 0.015) or S. aureus relative abundance (p < 0.012), and with patient's IgE levels (p < 0.001), race (p < 0.032), age (p < 0.034) and sex (p = 0.012). The lesional model explained 62% of the variation in AD severity, and the non-lesional model 50% of the variation. Conclusions Our results specify the frequently reported “reduced diversity” of the AD-related skin microbiome to reduced Evenness, which was in turn mainly driven by S. aureus relative abundance, rather than to a reduced microbiome Richness. Finding associations between AD severity, the skin microbiome and patient's cofactors is a key aspect in developing new personalized AD treatments, particularly those targeting the AD microbiome.show moreshow less

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Metadaten
Author:Luise Rauer, Matthias Reiger, Madhumita Bhattacharyya, P. M. Brunner, J. G. Krueger, E. Guttman‐Yassky, Claudia Traidl-HoffmannORCiDGND, Avidan Neumann
URN:urn:nbn:de:bvb:384-opus4-1009721
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/100972
ISSN:0926-9959OPAC
ISSN:1468-3083OPAC
Parent Title (English):Journal of the European Academy of Dermatology and Venereology
Publisher:Wiley
Type:Article
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2023/01/17
Tag:Infectious Diseases; Dermatology
Volume:37
Issue:4
First Page:772
Last Page:782
DOI:https://doi.org/10.1111/jdv.18776
Institutes:Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Umweltmedizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell (mit Print on Demand)