Postpartum Metabolomics Data for Predicting Type 2 Diabetes After Gestational Diabetes

Metabolomics data supporting a publication on predicting future type 2 diabetes. The dataset was authored by Emily Hashimoto-Roth and is hosted on Harvard Dataverse, with a last update timestamp of 2026-05-31 22:23:02. It likely contains measurements of amino acid and lipid metabolism from the early postpartum period.

Use Cases

• Develop predictive models for type 2 diabetes based on postpartum metabolite levels mentioned in the description
• Analyze associations between altered amino acid metabolism and future diabetes risk
• Investigate lipid metabolism patterns as potential early biomarkers for disease progression

Strengths

• Data is associated with a specific, peer-reviewed publication submission, indicating a research context.
• Last updated timestamp is provided (2026-05-31 22:23:02).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Harvard Dataverse

Freshness

Last updated 2026-05-31 22:23:02