Chronic Alcohol Consumption Effects on Gut Microbes and Metabolites in Non-Human Primates

A non-human primate model of ethanol self-administration provides data on alcohol-induced alterations in gut microbes and associated metabolomes. The dataset includes results from 16s rRNA sequencing and GC-MS/LC-MS metabolite analysis, linked to monocyte function assessed via flow cytometry. It was authored by Madison B. Blanton and last updated on May 13, 2026.

Use Cases

• Identify correlations between alcohol consumption and specific gut bacterial taxa based on 16s rRNA sequencing data.
• Analyze changes in short-chain fatty acid, fatty acid, and amino acid metabolite profiles linked to gut dysbiosis.
• Investigate the relationship between fecal metabolite alterations and heightened monocyte inflammatory responses.
• Model the potential for innate immune training-like mechanisms driven by metabolite changes.

Strengths

• Uses a controlled non-human primate model to reduce confounders present in human studies.
• Integrates multi-omics data from 16s rRNA sequencing and mass spectrometry (GC-MS/LC-MS).
• Links microbial and metabolic changes to a functional immune cell readout (monocyte responses via flow cytometry).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 21.0 KB file size suggests a limited scope, likely containing summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Data generated from a non-human primate model of ethanol self-administration, with microbiome (16s rRNA) and metabolome (GC-MS/LC-MS) analysis.

Time Range

Study involved 12 months of alcohol use.

Freshness

Last updated 2026-05-13 04:57:51; freshness should be verified.