Biological, psychological & social domains interact at multiple levels (genes, human & environment microbiomes, stress, behavior, broad SES & environment) outlined by the biopsychosocial ecological model (BPSEM). The BPSEM specifies pathways aligned with the AoU pillars of biology, lifestyle, & environment. Simultaneous examination of the interacting domains and levels of the BPSEM is now computationally possible and... more »
California data shows T2D prevalence is higher among Pacific Islanders, Filipinos and South Asians, compared to Latinos, African-Americans, and Native Americans; further, Chinese, Japanese, and Koreans in California have a 50% higher risk of T2D compared to Whites. High throughput technologies, including metabolomics and genomics could provide valuable insight regarding the etiology of T2D disease mechanisms, and novel... more »
Changes involved in the progression of T2D and development of complications is apparent at the pre-DM state or during the transition to T2D or with complications. Conducting ‘Omics’ including DNA methylation, metabolomics and microbiome studies in blood, saliva and Fecal samples allows to validate interactions of metabolites to microbiota to epigenetic regulations.
The window of opportunity for disease prevention in at-risk individuals may be before symptoms occur and blood/urine chemistries indicate a problem. Considering that one’s metabolome reflects both genetic and environmental influences, could metabolite profiles be explored in the All of Us biospecimens and assessed as diagnostic tools?
Hypertension is a very common chronic disease that significantly increases risk of stroke and myocardial infarction. Though it's clinical definition is simple based on blood pressure it's molecular etiology is quite complex and poorly understood. This project would seek to identify genetic, epigenetic (DNA methylation), and metabolomic "subtypes" of hypertension both in isolation and as clusters. These subtypes may be... more »
Using biospecimens of persons of varying ages, characterize exposure to environmental chemicals and metals over time and conduct omics studies to identify the functional mechanism of observed health effects - gene expression, metabolomics, epigenetics and genetic variants. Most important, have a plan for integrating the findings of these various studies.