Duc M. Duong

This study identifies proteins and networks associated with behavioral and psychological symptoms of dementia using proteomic data from multiple cohorts.

This study creates a multi-omic atlas of the choroid plexus in Alzheimer's disease, identifying disease-associated cell state transitions and functional impairments.

The paper identifies RNA-binding proteins interacting with tau's repeat domain using proximity labeling, showing their enrichment in Alzheimer's and tauopathies.

The paper identifies six CSF proteomic subtypes in Alzheimer's disease, linking BBB dysfunction to reduced tau and synaptic biomarkers, particularly in African Americans and men.

The paper identifies cross-species biomarkers and mechanisms in Rett Syndrome using gene therapy and multi-omic analysis in mice.

The paper compares two rat synucleinopathy models using multi-omics data to identify disease mechanisms and drug targets relevant to Parkinson's disease.

This study identifies molecular subtypes based on cryptic exon burden in hippocampal tissue, revealing proteomic changes linked to TDP-43 pathology in LATE and Alzheimer's disease.

The paper performs large-scale proteomic analysis of Alzheimer's disease brain regions across different racial and ethnic groups, identifying AD-related protein changes and APOE4 concordance with genotype.

This paper presents a multi-omics dataset from multi-ethnic Alzheimer's disease brain donors, including transcriptome, genome, and proteome data, to improve precision medicine for underrepresented populations.

The paper identifies a conserved Aβ amyloid 'responsome' in human and mouse AD brains, showing how amyloid scaffolds proteins involved in disease pathology.

This paper reports exploratory CSF proteomics data from a Phase 2 trial of CT1812 in Alzheimer's disease, identifying pharmacodynamic biomarkers and mechanistic insights.

The paper compares proteomic profiles of cerebrospinal fluid from African Americans and Caucasians with and without Alzheimer's disease to identify shared and divergent biomarkers.

The paper uses TurboID-NES to profile proteomes of microglial and neuronal cell lines, showing it captures a significant portion of the proteome and responds to LPS treatment.

The paper identifies genetic modifiers of alpha-synuclein-mediated neurodegeneration by screening fly homologs of lysosomal storage disorder genes.

The paper uses proteomic profiling to classify cognitive impairment subtypes in human brain tissues, identifying distinct molecular patterns associated with different clinical outcomes.

The paper analyzes proteomic data from Alzheimer's disease brains, revealing disease-related changes not seen at the RNA level and identifying potential therapeutic targets.

The paper analyzes transcriptome and proteome changes in a Drosophila tauopathy model, identifying age- and Tau-induced gene expression differences and their cross-species implications.