This prospective observational study evaluated skin microbiome composition among 244 participants in Indonesia. The population included people living with HIV, HIV-ART-naïve individuals, and HIV-negative controls. The primary outcome assessed alpha diversity, community structure, and differential abundance of skin microbiota. Secondary outcomes included clinical, demographic, behavioral, anatomical factors, body mass index, and skincare habits.
Results indicated that alpha diversity was significantly reduced in both HIV groups compared with HIV-negative controls. Community composition differed by HIV status. The microbiome was dominated by Corynebacterium, Cutibacterium, Staphylococcus, and Streptococcus. Differential abundance analysis showed increased Staphylococcus and reduced Streptococcus in ART-naïve individuals versus controls. ART exposure resulted in partial attenuation of these deviations. HIV-associated differences were observed within both sebaceous and dry sites. HIV status remained independently associated with microbiome composition after adjustment for multiple factors. Notably, sampling site explained a larger proportion of variation than HIV status.
Safety and tolerability data were not reported, as adverse events, serious adverse events, discontinuations, and tolerability were not reported. The study design is a prospective observational study; associations were reported, and causality was not established. Limitations include that the impact on skin microbiome and modifying effect of ART remain incompletely defined. Longitudinal studies integrating functional profiling and host markers of cutaneous barrier integrity and inflammation are needed to clarify clinical implications. Functional profiling and host markers were not yet integrated in this analysis.
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IntroductionThe skin microbiome plays a key role in cutaneous immunity and is shaped by host immune status. HIV infection is associated with immune dysfunction and dermatological disease, yet its impact on the skin microbiome and the modifying effect of antiretroviral therapy (ART) remain incompletely defined. This prospective observational study conducted in Indonesia aimed to characterize differences in skin microbiome composition across HIV status and ART exposure and relate these profiles to clinical parameters.MethodsSkin swabs were obtained from sebaceous (posterior neck) and dry (dorsal forearm) sites in HIV-ART-naïve individuals, people living with HIV on ART, and HIV-negative controls, and analyzed using 16S rRNA gene sequencing. Microbial diversity and community structure were assessed using Bray–Curtis dissimilarity, PERMANOVA, and differential abundance testing with ANCOM-BC2, with multivariable models adjusting for demographic, clinical, behavioral, and anatomical factors and subgroup analyses by body mass index, skincare habits, and sampling site.ResultsIn total, 488 samples from 244 participants were analyzed. Both HIV groups showed significantly reduced alpha diversity compared with controls, and overall community composition differed by HIV status, although sampling site explained a larger proportion of variation. Across groups, the microbiome was dominated by Corynebacterium, Cutibacterium, Staphylococcus, and Streptococcus. Differential abundance analyses indicated targeted genus-level shifts rather than global dysbiosis, with ART-naïve individuals showing the most consistent deviations, including increased Staphylococcus and reduced Streptococcus relative to controls, and partial attenuation among participants receiving ART. HIV-associated differences were observed within both sebaceous and dry sites, and HIV status remained independently associated with microbiome composition after adjustment.ConclusionsThese findings suggest that HIV infection is associated with subtle but consistent alterations in the skin microbiome within the context of strong site-specific skin microenvironments. Longitudinal studies integrating functional profiling and host markers of cutaneous barrier integrity and inflammation are needed to clarify their clinical implications.