Gut Microbiota Profiles for Alzheimer's and Parkinson's Disease Patients

Simon De Jaegher's dataset contains gut microbiota sequencing results from 152 individuals, including 37 Alzheimer's disease patients, 65 Parkinson's disease patients, and 50 age-matched healthy controls. The data was generated using full-length 16S rRNA gene sequencing and analyzed with a unified bioinformatic and statistical framework. It was last updated on May 12, 2026.

Use Cases

• Compare microbial diversity metrics (e.g., richness, Shannon diversity) between Alzheimer's, Parkinson's, and control groups.
• Identify species-level differential abundance of bacteria like Faecalibacterium prausnitzii and Ruminococcus sp. JE7A12 associated with Parkinson's disease.
• Investigate beta diversity compositional differences across diagnostic groups, with adjustment for demographic covariates.
• Examine the relationship between short-chain fatty acid-producing bacteria and neurodegenerative disease status.

Strengths

• Includes data from 152 individuals across three distinct cohorts.
• Provides species-level taxonomic resolution from full-length 16S rRNA gene sequencing.
• Uses a unified statistical framework adjusting for relevant demographic covariates.

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 in scale at 51.4 KB, indicating limited scope.

Provenance

Source

Simon De Jaegher

Collection Method

Full-length 16S rRNA gene sequencing of gut microbiota samples.

Freshness

Last updated 2026-05-12 04:19:35; freshness should be verified.