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Co-occurrence network analysis reveals the alterations of the skin microbiome and metabolome in adults with mild to moderate atopic dermatitis

代谢组 微生物群 特应性皮炎 生物 棒状杆菌 代谢组学 马拉色菌 普雷沃菌属 金黄色葡萄球菌 微生物学 免疫学 细菌 生物信息学 遗传学
作者
Paulo Wender Portal Gomes,Helena Mannochio-Russo,Junhong Mao,Haoqi Nina Zhao,Jacob Ancira,Craig D. Tipton,Pieter C. Dorrestein,Min Li
出处
期刊:MSystems [American Society for Microbiology]
卷期号:9 (3): e0111923-e0111923 被引量:20
标识
DOI:10.1128/msystems.01119-23
摘要

ABSTRACT Skin microbiome can be altered in patients with atopic dermatitis (AD). An understanding of the changes from healthy to atopic skin can help develop new targets for treatment by identifying microbial and molecular biomarkers. This study investigates the skin microbiome and metabolome of healthy adult subjects and lesion (ADL) and non-lesion (ADNL) of AD patients by 16S rRNA gene sequencing and mass spectrometry, respectively. Samples from AD patients showed alterations in the diversity and composition of the skin microbiome, with ADL skin having the greatest divergence. Staphylococcus species, especially S. aureus , were significantly increased in AD patients. Metabolomic profiles were also different between the groups. Dipeptide derivatives are more abundant in ADL, which may be related to skin inflammation. Co-occurrence network analysis of the microbiome and metabolomics data revealed higher co-occurrence of metabolites and bacteria in healthy ADNL compared to ADL. S. aureus co-occurred with dipeptide derivatives in ADL, while phytosphingosine-derived compounds showed co-occurrences with commensal bacteria, for example , Paracoccus sp., Pseudomonas sp., Prevotella bivia , Lactobacillus iners , Anaerococcus sp., Micrococcus sp., Corynebacterium ureicelerivorans , Corynebacterium massiliense , Streptococcus thermophilus , and Roseomonas mucosa , in healthy and ADNL groups. Therefore, these findings provide valuable insights into how AD affects the human skin metabolome and microbiome. IMPORTANCE This study provides valuable insight into changes in the skin microbiome and associated metabolomic profiles in an adult population with mild to moderate atopic dermatitis. It also identifies new therapeutic targets that may be useful for developing personalized treatments for individuals with atopic dermatitis based on their unique skin microbiome and metabolic profiles.
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