Breast Milk Antibody Fc Signatures from an HIV Transmission Study in Zambia

Data from the Zambia Exclusive Breastfeeding Study, profiling milk antibodies from transmitting and non-transmitting mothers without antiretroviral therapy. The dataset, authored by Boris Juelg and hosted by Harvard Dataverse, was last updated on March 17, 2026. It includes systems serology measurements of antibody profiles and functions related to postnatal HIV transmission.

Use Cases

• Identify antibody Fc signatures associated with HIV transmission risk based on gp41-specific IgG1 and effector function data.
• Model correlates of viral control based on p24-specific antibody responses and milk viral load correlations.
• Analyze the role of Fc glycosylation, such as digalactosylated IgG levels, in inflammatory cytokine release.
• Develop predictive models for HIV transmission risk during breastfeeding using immunological profiles.

Strengths

• Data is from a defined clinical study cohort (the Zambia Exclusive Breastfeeding Study).
• Includes multiple immunological measurement types: systems serology, Fc glycosylation analysis, and viral load data.
• Profiles both transmitting and non-transmitting mothers, enabling comparative analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to the single study cohort.

Provenance

Source

Harvard Dataverse

Collection Method

Systems serology profiling of breast milk samples from a clinical cohort study.

Time Range

Study period not specified; data reflects the Zambia Exclusive Breastfeeding Study.

Freshness

Last updated 2026-03 17 23:17:31; freshness should be verified.

Geography

Zambia