A5095085878- Genetic Associations and Epidemiology
- Cancer, Lipids, and Metabolism
- Cardiovascular Health and Risk Factors
- Epigenetics and DNA Methylation
- Adipokines, Inflammation, and Metabolic Diseases
- Lipoproteins and Cardiovascular Health
- Health, Environment, Cognitive Aging
- Nutritional Studies and Diet
- Scientific Computing and Data Management
- Cardiovascular Disease and Adiposity
- Ferroptosis and cancer prognosis
- Diabetes and associated disorders
- Frailty in Older Adults
- Cardiovascular Health and Disease Prevention
- Body Composition Measurement Techniques
Stanford University
2024-2025
Palo Alto University
2024
While risk stratification for atherosclerotic cardiovascular disease (ASCVD) is essential primary prevention, current clinical algorithms demonstrate variability and leave room further improvement. The plasma proteome holds promise as a future diagnostic prognostic tool that can accurately reflect complex human traits processes. We assessed the ability of proteins to predict ASCVD.
Simulated patient systems play a crucial role in modern medical education and research, providing safe, integrative learning environments enabling clinical decision-making simulations. Large Language Models (LLM) could advance simulated by replicating conditions patient-doctor interactions with high fidelity low cost. However, ensuring the effectiveness trustworthiness of these remains challenge, as they require large, diverse, precise knowledgebase, along robust stable knowledge diffusion...
Background: Adiposity is a key modulator for Insulin resistance (IR); strong risk factor type 2 diabetes and cardiovascular diseases. The blood proteome crucial indicator of biological processes associated with complex disorders. In this study, we investigate the associations between plasma proteomics visceral adipose tissue volume (VAT), their intersection phenotypic genomic data to identify critical proteins adiposity linked IR. Methods: We examined UK biobank participants proteomic...
Introduction: Adiposity distribution plays an important role in insulin resistance (IR); sex differences body composition can influence the risk of cardiometabolic disease (CMD). We aimed to assess intersection proteomic, genomic and phenotypic factors related visceral adipose tissue (VAT) IR. Methods: examined UK biobank participants with proteomic data generated using Olink proximity extension antibody assay (PEA). Association between proteomics, genomics phenotypes VAT volume was...
Background: The plasma proteome holds promise as a future diagnostic and prognostic tool that can accurately reflect complex human traits disease processes. We assessed the ability of proteins to predict incident atherosclerotic cardiovascular (ASCVD). Methods: relative clinical, genetic, high-throughput proteomic data associate with ASCVD in cohort 41650 UK Biobank participants (figure). Selected features for analysis included clinical variables such risk score (QRISK3) lipid levels, Olink...
The plasma proteome holds promise as a diagnostic and prognostic tool that can accurately reflect complex human traits disease processes. We assessed the ability of proteins to predict type 2 diabetes mellitus (T2DM) related traits.
Ultrasound derived carotid intima-media thickness (cIMT) is valuable for cardiovascular risk stratification. We assessed the relative importance of traditional atherosclerosis factors and plasma proteins in predicting cIMT measured nearly a decade later.
Abstract Disclosure: T. Gupte: None. Z. Azizi: K. Nzenkue: P. Kho: M. Chen: J. Zhou: R. Guarischi-Sousa: D.J. Panyard: F. Abbasi: Watson: S. Clarke: P.S. Tsao: T.L. Assimes: Background: The plasma proteome holds promise as a future diagnostic and prognostic tool that can accurately reflect complex human traits disease processes. We assessed the ability of proteins to associate with two primary risk factors type 2 diabetes mellitus (T2DM) predict incident T2DM. Methods: Clinical, genetic,...
Introduction: Atrial fibrillation (AF) is linked to an elevated risk of ischemic stroke (IS) and mortality. However, the performance existing clinical scoring systems in assessing these outcomes at best moderate. The blood proteome serves as a vital indicator biological processes related complex disorders. Consequently, there exists opportunity enhance predictive accuracy such scores by incorporating proteomic data. Purpose: In this study, we aim evaluate combined influence genomics,...