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SAIGE I: Staphylococcus aureus, Immunological, Genetic, and Environmental (SAIGE) Factors Contributing to Atopic Dermatitis and the Use of Ceramide-Containing Skincare

By October 28, 2025No Comments
Journal of Drugs in Dermatology JDD Article About SAIGE I: Staphylococcus aureus, Immunological, Genetic, and Environmental (SAIGE) Factors Contributing to Atopic Dermatitis and the Use of Ceramide-Containing Skincare

Think beyond inflammation: SAIGE framing reframes pediatric AD prevention and care

A seven‑expert global panel of pediatric dermatologists and dermatologists used a modified Delphi process to produce five consensus statements on pediatric atopic dermatitis (AD). The panel emphasized that skin barrier dysfunction sits at the center of AD pathogenesis and is shaped by S. aureus colonization plus immunological, genetic and environmental (SAIGE) factors. Their recommendations synthesize the literature and clinical experience to encourage clinicians to identify and reduce modifiable SAIGE contributors to barrier compromise across infancy and childhood.

Key practice‑oriented conclusions are practical and actionable: recognize SAIGE components as distinct, interacting risks for barrier breakdown; counsel families about modifiable environmental and microbial exposures; and consider continuous ceramide‑containing skincare begun from birth in infants at high risk, as this may delay onset and reduce severity of AD flares. The panel also highlights a gap in clinician knowledge and urges education so providers can apply SAIGE‑focused mitigation strategies earlier and more consistently.

For practicing dermatologists, the takeaways are clear — incorporate SAIGE assessment into history and anticipatory guidance, prioritize barrier‑supportive regimens (notably ceramide‑containing emollients) for high‑risk newborns, and engage families about environmental and microbial risk reduction to help delay or lessen pediatric AD.

 

J Drugs Dermatol. 2025;24(10):1012-1017. doi:10.36849/JDD.8591

 

Blog write-up assisted by AI