Serum Metabolomic Changes During Chinese Herbal Therapy for Postpartum Uterine Involution

168 serum samples from patients with postpartum uterine subinvolution, collected at three time points during treatment. The study by Xinxin Yin identified 83 differential metabolites and four candidate biomarkers using UPLC-Q-TOF-MS analysis. The data provides molecular evidence for evaluating the efficacy of traditional Chinese medicine external therapies.

Use Cases

• Analyzing dynamic metabolic pathway changes based on longitudinal serum samples collected at baseline, day 3, and day 7.
• Identifying candidate biomarkers for treatment efficacy based on the four metabolites LysoPC(18:1), arachidonic acid, L-tryptophan, and citric acid.
• Studying the effects of 'warming meridians and activating blood' therapy based on differential metabolite patterns like sustained increase or fall-then-rise.
• Enrichment analysis of metabolic pathways such as arachidonic acid metabolism and the tricarboxylic acid cycle based on the 83 identified differential metabolites.

Strengths

• 168 patient samples provide a substantial clinical cohort for analysis.
• 83 differential metabolites identified with statistical criteria (VIP > 1.0, p < 0.05).
• Longitudinal design with samples collected at three specific time points (T0, T1, T2).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is contained in a PDF file (343.1 KB), which may require extraction to access structured data.

Provenance

Source

figshare

Collection Method

UPLC-Q-TOF-MS analysis of serum samples from a clinical study.

Freshness

Last updated 2026-04-29 05:57:34; freshness should be verified.