Rima F Kaddurah-Daouk

The paper identifies preserved mitochondrial bioenergetics in asymptomatic Alzheimer's disease brains and suggests NAD+ precursor interventions could maintain cognitive function despite pathology.

This study identifies SHIP1 ligands with brain exposure and in vivo activity in Alzheimer's models, showing target engagement and reduced neuroinflammation.

The paper analyzes metabolites in AD patients to show inflammation and sEH dysregulation, with sex and disease stage differences, and identifies markers of disease progression and cognitive resilience.

The paper uses whole-body metabolic models to link gut microbiota to metabolic changes in Alzheimer's disease, identifying key microbial drivers and metabolites involved.

This study examines how APOE genotypes affect brain metabolome changes with aging in mice, finding that APOE2 genotype is associated with better mitochondrial function and BCAA utilization.

This study shows that the microbiome influences immune responses and cognitive deficits in sex-specific ways in mouse models of Alzheimer's disease.

The paper identifies three brain multi-omic molecular subtypes of neuroticism linked to Alzheimer's disease traits, with subtype N1 showing the strongest associations.

The paper presents a multi-organ metabolomics atlas in AD mouse models, identifying dysregulated metabolites and microbiome associations linked to oxidative stress and cognitive impairment.

This study translates post-mortem brain multi-omics AD dementia subtypes into blood, MRI, and psychological markers in living individuals.

This paper introduces a mass spectrometry filtering tree to distinguish bile acid isomers in LC-MS/MS data and identifies a novel deoxycholyl-2-aminophenol amidate linked to whole grain consumption.

The paper examines associations between three multi-omic AD subtypes and four psychological traits, finding differential links between subtypes and traits.

The paper shows FTY720 rescues synaptic plasticity and memory in Alzheimer's model mice by correcting sphingolipid, polyamine, and phospholipid metabolism.

This study links medication use to distinct gut microbial features in anxiety and depression, showing antidepressants have a larger effect on microbiota than diagnoses.

The paper examines the association between bile acid levels and functional connectivity of the executive control and default mode networks in patients with major depression.

This study shows that α-synuclein overexpression and the microbiome alter the gut and brain metabolome in mice, with TMAO levels correlating across tissues and linking to PD-like outcomes.

The paper develops a drug exposure resource from untargeted metabolomics data to identify medications without clinical records.

AutoFocus identifies multi-omic disease-associated modules across biological scales using a hierarchical framework, applied to type 2 diabetes and Alzheimer's datasets.

The paper identifies sex-specific metabolomic differences in serum and brain of Alzheimer's disease mouse models, showing model-specific metabolic signatures that align with human APOE4 carriers.

The paper creates a suspect spectral library for untargeted metabolomics by propagating annotations from public MS/MS spectra to improve interpretation of unannotated spectra.

This study identifies widespread metabolic dysregulation in Alzheimer's disease brain tissue, linking it to tau pathology and highlighting potential pathomechanisms.

This study identifies 667 genetic loci associated with lipid species and links 186 of them to coronary artery disease through integrative lipidomics and genomics.

This study identifies associations between bile acid profiles and symptoms of depression and anxiety in MDD patients, finding higher anxiety correlates and treatment failure predictors.

The paper links indoxyl sulfate, a gut microbiome-derived metabolite, to anxiety symptoms and specific brain connectivity patterns in patients with depression.

The paper uses targeted metabolomics to analyze changes in acylcarnitines, amines, and lipids in response to citalopram/escitalopram treatment in MDD patients, identifying metabolic correlates of treatment response.

The paper identifies serum metabolites associated with brain amyloid-beta deposition, cognitive dysfunction, and progression to Alzheimer's disease.

The paper investigates sex and APOE ε4 genotype effects on metabolic alterations in Alzheimer’s disease using stratified analysis of serum metabolites.

The paper integrates genomic and metabolomic data with biological networks to identify genetic variants and bile acids associated with Alzheimer's disease, revealing functional biological paths across multiple-omics layers.

This study identifies metabolites and pathways in serum and brain tissue associated with cognitive impairment and develops models to predict antecedent cognitive decline in older adults.

The paper identifies differences in bile acid pathways for cholesterol clearance in Alzheimer’s disease by analyzing transcriptomes and metabolomics data from brain samples.