A Multi-Organ Murine Metabolomics Atlas Reveals Molecular Dysregulations in Alzheimer's Disease
Simone ZuffaiD, Celeste AllabandiD, Vincent Charron‐LamoureuxiD, Andrés Mauricio Caraballo‐RodrígueziD, Abubaker PataniD, Ipsita MohantyiD, Julius AgongoiD, John W. BostickiD, T. Jaymie ConnerlyiD, Taren ThroniD, Brittany Needam, Matheus de Castro FonsecaiD, Rodolfo A. SalidoiD, Lauren Hansen, Helena M. TubbiD, Jennifer H. CaoiD, Karel KaleckýiD, Teodoro BottiglieriiD, Siamak MahmoudianDehkordiiD, Leyla SchimmeliD, Alexandra Kueider‐PaisleyiD, Stewart Francis GrahamiD, Dionicio R. SiegeliD, Mingxun WangiD, Rob D. KnightiD, , Sarkis K. MazmanianiD
Abstract
The etiology of Alzheimers Disease (AD) remains largely unclear but is likely driven by gene-environment interactions. Here, we present a multi-organ untargeted metabolomics dataset (2,271 samples) generated from five tissue types in two genetic AD mouse models under colonized or germ-free conditions, complemented by shotgun metagenomics sequencing data (666 samples). Systems-level analyses of 3xTg and 5xFAD mice reveal clusters of dysregulated molecular classes across tissues including carnitines, bile acids, B vitamins, and neurotransmitters. This signature, coupled with microbiome profiles, suggests increased oxidative stress via mitochondrial dysfunction. Molecular feature tracking via tissueMASST, a mass spectrometry search tool we developed to bridge animal model findings with human data, identifies microbially-modulated phenylacetyl-carnitine as positively associated with aging and cognitive impairment across human AD studies. With hundreds of yet-to-be-characterized metabolites, this public resource and its associated tools will aid future research in the pathophysiology of AD.
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