Here we evaluate longitudinal microbiomes and metabolomes from a popular transgenic mouse model for familial Alzheimer’s disease (5xfAD). This data is comprised of metagenomics of both cecal and fecal samples, metabolomics of fecal samples, and metabolomics of blood plasma. Samples were collected from 5xfAD mice and their WT B6J littermates from 4 – 18 months of age. Differences in microbiome and metabolite composition with relation to genotype, sex, age, and housing were explored. This study was conducted as part of the MODEL-AD consortium (model-ad.org).

This dataset consists of four text files, each of which has undergone extensive pre-processing in R. The relevant metadata and data are combined in each file. The files include: 

• PlasmaMX_data.txt: plasma metabolomics data
• FecalMX_data.txt: fecal metabolomics data
• Taxonomy_data.txt: fecal and cecal microbiome data
• Turicibacter_data.txt: Bowtie2 data for three species of Turicibacter in fecal and cecal samples

Please see the manuscipt methods for more information (https://doi.org/10.1128/mbio.01794-22).

No special programs of software are required to open the data files. The R scripts that were used to analyze the data can be found on GitHub (https://github.com/sjbd1/5xfAD_mBio2022).

PRJNA902000 is the bioaccession number for the raw sequence reads on the SRA: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA902000/