Daqing and Haikou, China, are the geographic foci of this dataset. It contains comparative gut microbiome and fecal metabolome data from 60 hypertensive patients, collected between May and December 2024. The data was generated by Shuyue Liu using shotgun metagenomic sequencing and untargeted metabolomics.
Use Cases
- Identifying differentially abundant microbial genera based on geographic grouping.
- Building logistic regression models for geographic classification based on microbial signatures.
- Analyzing dysregulated metabolic pathways, such as glycerophospholipid metabolism.
- Investigating correlations between specific differential microbes and metabolites.
- Studying the potential impact of environmental factors on host-microbiome-metabolite interactions.
Strengths
- Includes data from 60 patients (28 from Daqing, 32 from Haikou), providing a comparative sample.
- Analysis adjusted for confounding variables like age, BMI, smoking, and drinking status.
- Identified 34 differentially abundant genera and 38 differentially abundant metabolites.
- Generated a logistic regression model with an AUC of 0.8069 for geographic discrimination.
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 small (53.4 KB), indicating limited scope or summary-level data.
Provenance
- Source
- figshare
- Collection Method
- Shotgun metagenomic sequencing and untargeted metabolomics on fecal samples.
- Time Range
- May to December 2024
- Freshness
- Last updated 2026-05-22 05:37:06; freshness should be verified.
- Geography
- Daqing (middle-temperate climate) and Haikou (tropical climate), China