Mouse Gut Microbiota, Iron, and Brain Data for Alzheimer's Disease Research

Raw research data from an age-dependent study of the gut microbiota-iron-brain axis in a mouse model of Alzheimer's disease. The dataset includes measurements from wild-type and APP mice at 1 and 18 months of age, generated by Agata Kuziak at Jagiellonian University Medical College and last updated in May 2026. It contains six CSV files with raw data from ICP-MS iron concentration measurements, 16S rRNA gene sequencing, and classical microbiology.

Use Cases

• Correlating fecal iron concentration with host genotype and age based on ICP-MS measurements.
• Profiling gut microbiota composition shifts at the phylum and family levels based on 16S rRNA sequencing data.
• Comparing microbial community data from sequencing with results from classical microbiology culture techniques.
• Investigating age-dependent changes in the gut-brain axis using data from mice at 1 and 18 months of age.

Strengths

• Data is provided in six separate, logically named CSV files covering calibration, concentration, sequencing, and microbiology.
• The study design includes complementary analytical approaches: ICP-MS, 16S rRNA sequencing, and classical microbiology.
• Dataset includes an inferred metadata file to clarify sample genotype and age, which were not explicit in the original sequencing worksheet.

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 46.7 KB, indicating a limited scope of samples or measurements.

Provenance

Source

Agata Kuziak, Department of Microbiology, Faculty of Medicine, Jagiellonian University Medical College.

Collection Method

Data generated from fecal sample analysis using ICP-MS, 16S rRNA gene sequencing, and classical microbiology.

Freshness

Last updated 2026-05-25 11:26:15; freshness should be verified.

Geography

Krakow, Poland.