A Microbiome-Based Index for Assessing Skin Health and Treatment Effects for Atopic Dermatitis in Children
| Autor: | Karl Shiqing Wei, Xiaoquan Su, Gongchao Jing, Pengfei Zhu, Shi Huang, Rob Knight, Feng Yue, Jiquan Liu, Ming Yang, Huiying Li, Zheng Sun, Yueqing Niu, Jian Xu, Chris Callewaert, Helen Zhao, Edward Dewey Smith |
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| Přispěvatelé: | Jansson, Janet K |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Physiology Microbial diversity DIVERSITY spatial variation GUIDELINES medicine.disease_cause Biochemistry COLONIZATION THERAPIES 030207 dermatology & venereal diseases 0302 clinical medicine Medicine and Health Sciences personalized skin care Skin Pediatric integumentary system atopic dermatitis Eczema / Atopic Dermatitis food and beverages Atopic dermatitis QR1-502 Computer Science Applications medicine.anatomical_structure Staphylococcus aureus Modeling and Simulation Research Article medicine.medical_specialty Treatment response Popliteal fossa BIOMARKERS Microbiology suboptimal health 03 medical and health sciences Clinical Research DISEASE FLARES MANAGEMENT medicine Genetics Microbiome Molecular Biology Ecology Evolution Behavior and Systematics STAPHYLOCOCCUS-AUREUS STABILITY business.industry fungi Human Genome Biology and Life Sciences Therapeutics and Prevention medicine.disease Dermatology Axilla 030104 developmental biology OBJECTIVE SCORAD skin microbiome business Dysbiosis |
| Zdroj: | mSystems, vol 4, iss 4 mSystems MSYSTEMS mSystems, Vol 4, Iss 4 (2019) |
| ISSN: | 2379-5077 |
| Popis: | MiSH, which is based on the skin microbiome, can quantitatively assess pediatric skin health across cohorts from distinct countries over large geographic distances. Moreover, the index can identify a risk-prone skin state and compare treatment effect in children, suggesting applications in diagnosis and patient stratification. 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 Staphylococcus aureus over healthy individuals, confirming the extension of microbiome dysbiosis across body surface in AD patients. Intriguingly, pretreatment MiSH classifies children with identical AD clinical symptoms into two host types with distinct microbial diversity and treatment effects of corticosteroid therapy. These findings suggest that MiSH has the potential to diagnose AD, assess risk-prone state of skin, and predict treatment response in children across human populations. IMPORTANCE MiSH, which is based on the skin microbiome, can quantitatively assess pediatric skin health across cohorts from distinct countries over large geographic distances. Moreover, the index can identify a risk-prone skin state and compare treatment effect in children, suggesting applications in diagnosis and patient stratification. |
| Databáze: | OpenAIRE |
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