Metabolic and Microbiota Profiles from Plasma and Fecal Samples of McGill-R-Thy1-APP Transgenic Rats Exposed to a High-Fat or Control Diet for 6 Months

Abstract

This work, part of Lorenzo Campanelli's doctoral thesis (former CONICET doctoral fellow supervised by Dr. Laura Morelli and Dr. Pablo Galeano), comprises the identification of core protein-metabolite networks associated with Alzheimer’s disease-like cerebral amyloidosis using a transgenic rat model. The study involved metabolomic and bacterial genotyping analyses, revealing networks related to immune responses, with CD36 serving as a key hub. The findings highlight the role of immune and metabolic pathways in AD pathology. Overall, it provides new insights into the molecular mechanisms connecting diet, microbiota, and neurodegeneration. The datasets comprise the script (01) for the pre-processing of metabolome and microbiome data; (02) for sPLS-DA analysis described in results (Figure 2), and (03) the dot plots of the protein networks (Figure 4 and 5) (1, 2 and 3 are contained in the folder “Scripts”). On the other hand, we uploaded tables that were input for sPLS-DA analysis (abundance and normalized metabolome and microbiome data, and group sample tables) (contained in the folder “Tables”).