Search Results - "Sanjay, Apoorva Bharthur"

Characterization of gene expression patterns in mild cognitive impairment using a transcriptomics approach and neuroimaging endophenotypes by Bharthur Sanjay, Apoorva, Patania, Alice, Yan, Xiaoran, Svaldi, Diana, Duran, Tugce, Shah, Niraj, Nemes, Sara, Chen, Eric, Apostolova, Liana G.

“…Introduction Identification of novel therapeutics and risk assessment in early stages of Alzheimer's disease (AD) is a crucial aspect of addressing this…”
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Predicting the Emergence of Major Neurocognitive Disorder Within Three Months After a Stroke by Aamodt, Eva Birgitte, Schellhorn, Till, Stage, Edwin, Sanjay, Apoorva Bharthur, Logan, Paige E., Svaldi, Diana Otero, Apostolova, Liana G., Saltvedt, Ingvild, Beyer, Mona Kristiansen

“…Background: Neurocognitive disorder (NCD) is common after stroke, with major NCD appearing in about 10% of survivors of a first-ever stroke. We aimed to…”
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Effect of genetic and vascular AD risk factors on rate of cognitive decline in EOAD vs LOAD by Sanjay, Apoorva Bharthur, Li, Yunyi, Gao, Sujuan, Apostolova, Liana G.

“…Background APOE ε4 and vascular factors are well‐known risk factors for developing AD. The effect of these risk factors on rate of cognitive decline in early‐…”
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Sexually dimorphic association of circulating leptin levels with early amyloid‐beta pathology assessed by amyloid PET by Ishii, Makoto, Iadecola, Costantino, Sanjay, Apoorva Bharthur, Apostolova, Liana G.

“…Background Weight loss can precede the cognitive decline in Alzheimer’s Disease (AD), suggesting that mechanisms regulating body weight such as the adipocyte…”
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Gene co‐expression network analyses in Mild cognitive impairment by Dorsant‐Ardon, Valerie, Sanjay, Apoorva Bharthur, Rocha, Luis M, Correia, Rion Brattig, Apostolova, Liana G.

“…Background Multiomic data analysis has been extensively developed in recent years. Particularly, microarray data can be used as biomarkers of disease of…”
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Alzheimer’s Disease mechanistic pathways were discovered through in silico experiments in causal AI based digital twins by Sanjay, Apoorva Bharthur, Shokeen, Deepanshi, Shen, Xinyu, Shin, So‐Youn, Latourelle, Jeanne

“…Background Beyond a single‐gene‐based approach, pathway‐based approaches have become important in drug development paradigm. Several pathways are known for the…”
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Gene co‐expression network analyses in Mild cognitive impairment by Dorsant‐Ardon, Valerie, Sanjay, Apoorva Bharthur, Rocha, Luis M, Correia, Rion Brattig, Apostolova, Liana G.

“…Background Multiomic data analysis has been extensively developed in recent years. Particularly, microarray data can be used as biomarkers of disease of…”
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Transcriptomic profiling of brain amyloidosis using peripheral blood‐based gene expression: Biomarkers (non‐neuroimaging) / plasma/serum/urine biomarkers by Sanjay, Apoorva Bharthur, Svaldi, Diana Otero, Apostolova, Liana G.

“…Abstract Background In an effort towards pre‐symptomatic risk assessment, precision medicine and biomarker development in AD, we evaluated the efficacy of…”
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Transcriptomic profiling of brain amyloidosis using peripheral blood‐based gene expression by Sanjay, Apoorva Bharthur, Svaldi, Diana Otero, Apostolova, Liana G.

“…Background In an effort towards pre‐symptomatic risk assessment, precision medicine and biomarker development in AD, we evaluated the efficacy of…”
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Chromosome 19 polygenic risk scores defined by deep learning model predict the rate of Alzheimer’ disease progression by Bae, Jinhyeong, Sanjay, Apoorva Bharthur, Nho, Kwangsik, Saykin, Andrew J., Penchev, Valentin, Apostolova, Liana G.

“…Background Genetic variants invariably play a crucial role in rate of disease progression. The effects of Alzheimer’s disease (AD) genetic risk factors on…”
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Transcriptomic profiling of brain amyloidosis and Alzheimer’s disease phenotypes identifies novel gene targets from peripheral blood gene expression data by Sanjay, Apoorva Bharthur, Svaldi, Diana, Logan, Paige E., Stage, Eddie, Apostolova, Liana G.

“…Background In an effort towards pre‐symptomatic risk assessment, precision medicine and biomarker development in AD, we evaluated the efficacy of…”
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Transcriptomic profiling in mild cognitive impairment using peripheral blood gene co‐expression networks by Sanjay, Apoorva Bharthur, Correia, Rion Brattig, Rocha, Luis M., Apostolova, Liana G.

“…Background In an effort towards AD prodromal risk assessment, precision medicine and biomarker development, we evaluated the efficacy of characterizing and…”
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Characterization of genetic expression patterns in MCI using a multiomics approach and neuroimaging endophenotypes by Sanjay, Apoorva Bharthur, Patania, Alice, Yan, Xiaoran, Svaldi, Diana, Apostolova, Liana G.

“…Background Our goal was to characterize gene expression patterns at the MCI stage using a multiomics approach involving the integration of neuroimaging MRI…”
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Characterization of genetic expression patterns in MCI using a multiomics approach and neuroimaging endophenotypes: Biomarkers (non‐neuroimaging): EEG and other biomarkers by Sanjay, Apoorva Bharthur, Patania, Alice, Yan, Xiaoran, Svaldi, Diana, Apostolova, Liana G.

“…Abstract Background Our goal was to characterize gene expression patterns at the MCI stage using a multiomics approach involving the integration of…”
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APOE ε4 carrier status and sex differentiate rates of cognitive decline in early‐ and late‐onset Alzheimer's disease by Polsinelli, Angelina J., Logan, Paige E., Lane, Kathleen A., Manchella, Mohit K., Nemes, Sára, Sanjay, Apoorva Bharthur, Gao, Sujuan, Apostolova, Liana G.

“…Background We studied the effect of apolipoprotein E (APOE) ε4 status and sex on rates of cognitive decline in early‐ (EO) and late‐ (LO) onset Alzheimer's…”
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Early‐onset APOE‐ε4 carriers show greater decline in memory, language and executive function than late‐onset carriers by Logan, Paige E., Lane, Kathleen A., Manchella, Mohit K., Sanjay, Apoorva Bharthur, Gao, Sujuan, Apostolova, Liana G.

“…Background Apolipoprotein‐ε4 (APOE‐ε4) is the strongest genetic risk factor for sporadic Alzheimer’s disease (AD). However, whether APOE‐ε4 accelerates…”
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PREDICTING BRAIN AMYLOIDOSIS USING PERIPHERAL BLOOD-BASED GENE EXPRESSION AND EARLY STAGE NEURODEGENERATION BIOMARKERS by Sanjay, Apoorva Bharthur, Hwang, Kristy, Svaldi, Diana Otero, Duran, Tugce, Goukasian, Naira, Apostolova, Liana G.

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O1‐03‐03: PREDICTING BRAIN AMYLOIDOSIS USING PERIPHERAL BLOOD‐BASED GENE EXPRESSION AND EARLY STAGE NEURODEGENERATION BIOMARKERS by Sanjay, Apoorva Bharthur, Hwang, Kristy, Svaldi, Diana Otero, Duran, Tugce, Goukasian, Naira, Apostolova, Liana G.

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IC‐P‐051: PREDICTING BRAIN AMYLOIDOSIS USING PERIPHERAL BLOOD‐BASED GENE EXPRESSION AND EARLY STAGE NEURODEGENERATION BIOMARKERS by Sanjay, Apoorva Bharthur, Hwang, Kristy, Svaldi, Diana Otero, Duran, Tugce, Goukasian, Naira, Apostolova, Liana G.

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PREDICTING BRAIN AMYLOIDOSIS USING PERIPHERAL BLOOD-BASED GENE EXPRESSION AND EARLY STAGE NEURODEGENERATION BIOMARKERS by Sanjay, Apoorva Bharthur, Hwang, Kristy, Svaldi, Diana Otero, Duran, Tugce, Goukasian, Naira, Apostolova, Liana G.

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