A Microbiome-Based Index for Assessing Skin Health and Treatment Effects for Atopic Dermatitis in Children.
atopic dermatitis
personalized skin care
skin microbiome
spatial variation
suboptimal health
Journal
mSystems
ISSN: 2379-5077
Titre abrégé: mSystems
Pays: United States
ID NLM: 101680636
Informations de publication
Date de publication:
20 Aug 2019
20 Aug 2019
Historique:
entrez:
22
8
2019
pubmed:
23
8
2019
medline:
23
8
2019
Statut:
epublish
Résumé
A quantitative and objective indicator for skin health via the microbiome is of great interest for personalized skin care, but differences among skin sites and across human populations can make this goal challenging. A three-city (two Chinese and one American) comparison of skin microbiota from atopic dermatitis (AD) and healthy pediatric cohorts revealed that, although city has the greatest effect size (the skin microbiome can predict the originated city with near 100% accuracy), a microbial index of skin health (MiSH) based on 25 bacterial genera can diagnose AD with 83 to ∼95% accuracy within each city and 86.4% accuracy across cities (area under the concentration-time curve [AUC], 0.90). Moreover, nonlesional skin sites across the bodies of AD-active children (which include shank, arm, popliteal fossa, elbow, antecubital fossa, knee, neck, and axilla) harbor a distinct but lesional state-like microbiome that features relative enrichment of
Identifiants
pubmed: 31431508
pii: 4/4/e00293-19
doi: 10.1128/mSystems.00293-19
pmc: PMC6702293
pii:
doi:
Types de publication
Journal Article
Langues
eng
Informations de copyright
Copyright © 2019 Sun et al.
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