995 Sensitive skin microbiota communities highlighted by droplet-based microfluidic method

Background: Despite the importance of skin microbiome for health, only a few studies in literature have compared normal (NS) and sensitive (SS). They showed no variations bacterial diversity indices but shifts abundance specific genera were noted SS. Here, we from individuals with/without SS at strain level resolution isolated representative strains culture to evaluate ingredients. Methods: Face swabs with (40) or (33) analyzed using 16S rRNA sequencing study strain-level diversity, prevalence abundance. We used droplet-based microfluidic technology (DBMT) create collection each cohort evaluated effects active ingredients on growth selected strains. Results: Here confirmed observations previous that there are increases Corynebacterium, Kocuria, Micrococcus Lactococcus decreases Staphylococci. additionally observed an increase S. aureus, C. kroppenstedtii Pseudomonas, decrease Lactobacilli. Using DBMT, several hundred ∼50 representatives NS. Some “microbiome-friendly” profile while others potential reestablish microbial resembling Conclusion: A better understanding communities subsequent ingredient testing clinically set is real interest select effective rebalancing soothing solutions consumers