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Metabolomic Profiling Reveals Key Metabolic Alterations in Alzheimer's Disease and L. fermentum Treatment Response

ABSTRACT: In this study, we generated a comprehensive untargeted metabolomics dataset from six sample types (hippocampus, cortex, serum, cecum, colon, and feces) collected from an Alzheimer's disease mouse model, L. fermentum-treated mice, and wild-type controls. High-resolution LC-MS was used to capture metabolic alterations across samples. The dataset supports the identification of key metabolic signatures associated with Alzheimer's pathology and L. fermentum treatment response.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Mus Sp. (ncbitaxon:10095)

SUBMITTER: Yumi Kim

PROVIDER: MSV000098470 | MassIVE | Wed Jul 09 18:50:00 BST 2025

REPOSITORIES: MassIVE

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