HIV-HTN Comorbidity Diagnostic Model: Transcriptomic and qRT-PCR Validation Data

Supplementary file 1_A novel diagnostic model for HIV–HTN comorbidity contains transcriptomic analysis and validation data from a study by Aiping Yu, last updated April 9, 2026. The study identified 109 overlapping genes and validated six hub genes (FOS, PTGS2, TRMT2A, E2F1, FASN, STAB1) using qRT-PCR on peripheral blood samples from healthy individuals, HIV patients, and HIV-HTN patients.

Use Cases

• Validate diagnostic biomarkers for HIV-HTN comorbidity based on the six identified hub genes.
• Analyze immune cell infiltration patterns based on CIBERSORT deconvolution results mentioned in the description.
• Construct regulatory networks (ceRNA, miRNA, lncRNA) based on the putative network analysis.
• Perform functional enrichment analysis based on the identified cytokine-cytokine receptor interaction, IL-17, and NF-κB pathways.

Strengths

• Identifies 109 overlapping genes and six validated hub genes (FOS, PTGS2, TRMT2A, E2F1, FASN, STAB1).
• Includes qRT-PCR validation data from three patient cohorts (healthy, HIV, HIV-HTN).
• Data is openly available under a CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 2.5 MB size suggests a small dataset, potentially limiting the scope of analysis.

Provenance

Source

figshare, author Aiping Yu.

Collection Method

Transcriptomic datasets from HIV (GSE140713) and HTN (GSE236442) cohorts were analyzed; validation performed via qRT-PCR on peripheral blood samples.

Freshness

Last updated 2026-04-09 04:11:14; freshness should be verified.