Supplementary file 1_A comparative study of the gut microbiome and fecal metabolome in hyp

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, includes shotgun metagenomic sequencing and untargeted metabolomics results. It identifies differentially abundant microbial genera and metabolites associated with geographic and climatic differences.

Use Cases

• Identify differentially abundant gut microbial genera based on shotgun metagenomic sequencing data.
• Analyze fecal metabolite profiles associated with geographic and climatic differences using untargeted metabolomics.
• Build logistic regression models to discriminate patient groups based on microbial signatures.
• Investigate correlations between specific differential microbes and metabolites mentioned in the description.
• Explore dysregulated metabolic pathways such as glycerophospholipid metabolism and ABC transporters.

Strengths

• Includes data from 60 patients (28 from Daqing, 32 from Haikou) collected in a defined period (May-Dec 2024).
• Identifies 34 differentially abundant genera and 38 differentially abundant metabolites.
• Analysis adjusted for confounding variables (age, BMI, smoking, drinking) and achieved a model AUC of 0.8069.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (27.0 KB), indicating limited scope and likely summary-level data.
• Data may reflect geographic bias inherent to the two specific cities studied.

Provenance

Source

Shuyue Liu

Collection Method

Shotgun metagenomic sequencing and untargeted metabolomics of fecal samples from a cross-sectional study.

Time Range

May to December 2024

Freshness

Last updated 2026-05-22 05:37:11; freshness should be verified.

Geography

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