Daqing and Haikou, China, are the geographic focus of this cross-sectional study comparing gut microbial and metabolic profiles in hypertensive patients from distinct climatic regions. The dataset likely contains results from shotgun metagenomic sequencing and untargeted metabolomics analysis of fecal samples from 60 patients collected between May and December 2024. It was authored by Shuyue Liu and published on figshare under a CC-BY-4.0 license.
Use Cases
- Build predictive models for geographic origin based on microbial genus abundance, as described in the logistic regression analysis.
- Analyze correlations between differentially abundant microbes and metabolites identified in the study.
- Investigate functional pathways like xylene degradation or biofilm formation in relation to geographic grouping.
- Study the association of specific metabolites like 15-HETE or ginsenoside Rg3 with hypertension in different environments.
Strengths
- Includes results from both shotgun metagenomic sequencing and untargeted metabolomics analysis.
- Analysis adjusted for potential confounding variables including age, BMI, smoking, and drinking status.
- Identified 34 differentially abundant genera and 38 differentially abundant metabolites between the two groups.
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 61.0 KB, indicating a very limited scope likely containing summary or processed results rather than raw sequencing data.
Provenance
- Source
- figshare
- Collection Method
- Fecal samples analyzed using shotgun metagenomic sequencing and untargeted metabolomics.
- Time Range
- Data collected between May and December 2024.
- Freshness
- Last updated 2026-05-22 05:37:07; freshness should be verified.
- Geography
- Daqing (middle-temperate climate) and Haikou (tropical climate), China.