Participant Characteristics at Sampling for HIV B-Cell and Biomarker Study

750 blood samples from people with HIV, including 483 untreated and 267 on antiretroviral therapy, were analyzed for immunoglobulin G, inflammatory biomarkers, and clinical markers. The cross-sectional study was conducted by Isabel Vigmo and last updated in May 2026. It examines hypergammaglobulinemia and residual inflammation in relation to HIV infection stage and treatment status.

Use Cases

• Analyze the relationship between CD4+ T cell count and IgG concentration levels described in the study.
• Compare inflammatory biomarker levels (neopterin, β2-microglobulin) between untreated and ART-suppressed participant groups.
• Investigate the prevalence of hypergammaglobulinemia in different subgroups of people with HIV.
• Model residual B-cell hyperactivity based on biomarker data despite viral suppression.

Strengths

• Dataset includes 750 blood samples, providing a substantial cohort for analysis.
• Explicitly compares two distinct groups: 483 untreated and 267 ART-suppressed participants.
• Measures multiple specific biomarkers (IgG, neopterin, β2-microglobulin, albumin) and clinical markers (HIV-RNA, CD4+).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 9.5 KB file size suggests a very limited scope, likely containing summary statistics rather than raw individual-level data.

Provenance

Source

Isabel Vigmo via figshare.

Collection Method

Cross-sectional analysis of collected blood samples.

Freshness

Last updated 2026-05-21 17:36:05; freshness should be verified.