Ravi S. Pandey

This paper creates a mouse model with the ARMS2A69S variant to study AMD, finding it causes mitochondrial dysfunction and AMD-like phenotypes.

The paper characterizes the AppSAA knock-in mouse model, showing it recapitulates age-dependent Alzheimer's disease phenotypes and provides a tool for preclinical research.

This study shows that modulating neuronal cell cycle re-entry at a later age prevents Alzheimer's disease-related pathologies and highlights its relevance to late-onset AD.

The paper shows that the MTHFR*677C>T variant in a mouse model of LOAD produces distinct transcriptional and proteomic signatures related to cerebrovascular and synaptic biology.

This study examines the molecular effects of aducanumab treatment in 5XFAD mice, revealing sex-dependent and IgG-mediated changes in amyloid and associated pathways.

This study shows that human KL haplotypes FC and VS cause widespread transcriptomic changes in mouse brains at 12 months old, affecting mitochondrial, ribosomal, and synaptic functions, and linking them to Alzheimer's Disease pathogenesis.

This study uses metabolic covariance analysis on ADNI PET data to identify stage-specific biomarker signatures in Alzheimer's disease progression.

This study compares two mouse models of TREM2 variants, showing both mimic Alzheimer's disease signatures in similar biological domains.

This study identifies neuro-metabolic and vascular dysfunction (MVD) as an early indicator of Alzheimer's disease by analyzing clinical data from ADNI.

This study characterizes molecular and synaptic changes in a mouse model of late-onset Alzheimer's disease under different dietary conditions, showing age-related brain volume loss and cognitive deficits.

The paper assesses neurovascular uncoupling in APOE variants, finding APOEε4/ε4 shows Type-1 uncoupling and APOEε3/ε4 shows Type-2 uncoupling in aging mice.

The paper functionally validates 11 genetic risk variants for late-onset Alzheimer's disease using a mouse model and compares transcriptomic effects to human cohorts.

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.

This study examines how levetiracetam affects brain metabolic networks and transcriptomic signatures in 5XFAD mice, showing dose- and sex-dependent changes in gene expression and cerebral metabolism.

The paper uses single-cell RNA sequencing to analyze RPE cell heterogeneity in mice, identifying six cell populations and changes in gene expression during maturation.

This study shows that a high fat-high sugar diet interacts with the Plcg2M28L genetic variant to accelerate Alzheimer's disease-like phenotypes in mice.

The paper introduces a NanoString nCounter Mouse AD panel to assess LOAD mouse models by correlating gene expression with human AD modules, showing strong correlation with RNA-Seq data.

The paper uses genetic mouse models to identify transcriptomic signatures of late-onset Alzheimer’s disease by comparing mouse gene modules with human brain modules.