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

A cross-sectional study conducted between May and December 2024 analyzed fecal samples from 60 hypertensive patients in Daqing and Haikou, China. The dataset, authored by Shuyue Liu and shared on figshare, contains results from shotgun metagenomic sequencing and untargeted metabolomics. It includes findings on differentially abundant microbial genera and metabolites associated with geographic differences.

Use Cases

• Identify differentially abundant gut microbial genera based on geographic location.
• Analyze dysregulated metabolic pathways such as glycerophospholipid metabolism and ABC transporters.
• Build predictive models for geographic grouping using microbial signatures.
• Explore correlations between specific differential microbes and metabolites.
• Investigate the role of environmental factors in host-microbiome-metabolite interactions.

Strengths

• Data is derived from a structured cross-sectional study involving 60 participants (28 from Daqing, 32 from Haikou).
• Analysis includes results from two high-resolution techniques: shotgun metagenomic sequencing and untargeted metabolomics.
• Statistical results are reported, including 34 differentially abundant genera and 38 differentially abundant metabolites.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is 26.1 KB, indicating a very limited scope likely containing summary results rather than raw 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 05:37:06; freshness should be verified.

Geography

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