Tulsi Patel

The paper systematically adjudicates genetic evidence for Alzheimer's disease and related dementias, identifying 111 high-confidence loci through a tiered framework applied to large-scale genome-wide studies.

This paper uses temporal modeling of Alzheimer's disease progression with metabolomics data to identify novel genetic loci associated with disease speed, independent of traditional case-control associations.

The paper investigates the role of LACTB in Alzheimer's disease risk through Mendelian Randomization and experimental models, finding reduced LACTB expression lowers AD risk and increases succinylcarnitine levels.

This study reprograms human macrophages in vitro using cytokines to mimic Alzheimer's disease-relevant phenotypes, showing transcriptomic and functional changes similar to disease-associated microglia.

The paper identifies three H1 sub-haplotypes at the 17q21.31 locus associated with Parkinson's disease risk and links them to LRRC37A/2 expression in astrocytes.

The paper uses single nucleus RNA sequencing to analyze brain vascular cells in Alzheimer's disease, identifying molecular changes and interactions between vascular and astrocytic cells at the blood-brain barrier.

The paper characterizes human microglia transcriptomes and identifies gene expression signatures linked to age, sex, and APOE-ε4, revealing immunometabolic pathway perturbations in neurodegeneration.

The paper identifies SERPINA5 as a novel tau binding partner in Alzheimer's disease by analyzing hippocampal gene expression and neurofibrillary tangles.

The paper identifies cell-intrinsic differentially expressed genes in Alzheimer's disease by analyzing bulk-RNAseq data and comparing results to single nucleus RNAseq.