Skin Microbiome Profiles from 244 HIV-Positive and Control Participants in Indonesia

A prospective observational study from Indonesia analyzed 488 skin swab samples from 244 participants. The data, published by Muhammad Anshory on figshare in 2026, characterizes skin microbiome composition using 16S rRNA gene sequencing across HIV-negative controls, HIV-ART-naïve individuals, and people living with HIV on antiretroviral therapy.

Use Cases

• Compare microbial alpha diversity and community structure based on HIV status and ART exposure mentioned in the description
• Identify differentially abundant bacterial genera associated with HIV infection using the described ANCOM-BC2 analysis
• Model the influence of host factors like body mass index and skincare habits on microbiome composition as referenced in the methods
• Analyze site-specific microbiome variation between sebaceous and dry skin sites as a key finding of the study

Strengths

• Includes 488 samples from 244 participants, providing a substantial sample size for analysis
• Data collection is described as prospective and observational, with multivariable models adjusting for demographic, clinical, behavioral, and anatomical factors
• Analysis includes multiple statistical methods: Bray–Curtis dissimilarity, PERMANOVA, and differential abundance testing with ANCOM-BC2

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The primary data file is a DOCX format, which may require extraction or conversion for computational analysis

Provenance

Source

Muhammad Anshory via figshare

Collection Method

Skin swabs analyzed using 16S rRNA gene sequencing from a prospective observational study

Time Range

The study is prospective, but specific collection dates are not provided.

Freshness

Last updated 2026-04-15 05:44:10; freshness should be verified

Geography

Indonesia