Gut Microbiome and Metabolome Profiles of Hypertensive Patients from Daqing and Haikou

60 fecal samples from hypertensive patients in Daqing and Haikou were analyzed using shotgun metagenomic sequencing and untargeted metabolomics. The data includes 34 differentially abundant microbial genera and 38 differentially abundant metabolites, such as 15-HETE and ginsenoside Rg3. Shuyue Liu published this cross-sectional study conducted between May and December 2024.

Use Cases

• Build predictive models for geographic origin based on microbial genera, as described by a logistic regression model achieving an AUC of 0.8069.
• Analyze dysregulated metabolic pathways, such as glycerophospholipid metabolism and ABC transporters, identified in the metabolomic analysis.
• Investigate correlations between differential microbes and metabolites, as suggested by the study's correlation analysis.
• Compare microbial functional pathways, like xylene degradation and biofilm formation, which were reported as relatively reduced in one group.

Strengths

• Data is derived from 60 patient samples (28 from Daqing, 32 from Haikou), providing a comparative basis.
• Analysis identified 34 differentially abundant microbial genera and 38 differentially abundant metabolites, offering specific biomarkers.
• The study adjusted for confounding variables including age, BMI, smoking, and drinking status.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (11.8 KB), indicating limited scope and likely summary-level data.

Provenance

Source

figshare

Collection Method

Fecal samples analyzed using shotgun metagenomic sequencing and untargeted metabolomics.

Time Range

May to December 2024

Freshness

Last updated 2026-05-22 05:37:10; freshness should be verified.

Geography

Daqing (middle-temperate climate) and Haikou (tropical climate), China