Metabolomic Profiles for Predicting Hepatitis B e Antigen Seroconversion

Ze-Hua Zhao's research dataset contains metabolomic analysis results from patients with chronic hepatitis B. The data likely includes metabolite measurements used to build a predictive model for HBeAg seroconversion. The dataset was last updated on 2026-05-28 and is available under a CC-BY-4.0 license.

Use Cases

• Training a classifier to predict HBeAg seroconversion based on metabolite profiles.
• Identifying key metabolic biomarkers associated with different immune phases of hepatitis B.
• Validating in vitro findings on the role of specific metabolites in HBV infection.
• Comparing metabolic characteristics between responders and non-responders to PEG-IFNα and NAs therapy.

Strengths

• Dataset includes results from both untargeted and targeted metabolomic analyses.
• The model is specifically designed to predict HBeAg seroconversion, a key clinical outcome.
• Data is shared in an open XLSX format with a permissive 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 description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Ze-Hua Zhao

Collection Method

Untargeted and targeted metabolomic analysis of patient plasma samples, supplemented with in vitro assays.

Freshness

Last updated 2026-05-28 04:55:02; freshness should be verified.