Deep Multi-OMICs and Multi-Tissue Characterization in a Pre- and Postprandial State in Human Volunteers: The GEMM Family Study Research Design
Author:
Bastarrachea Raul A., Laviada-Molina Hugo A., Nava-Gonzalez Edna J., Leal-Berumen Irene, Escudero-Lourdes Claudia, Escalante-Araiza Fabiola, Peschard Vanessa-Giselle, Veloz-Garza Rosa A., Haack Karin, Martínez-Hernández Angélica, Barajas-Olmos Francisco M., Molina-Segui Fernanda, Buenfil-Rello Fatima A., Gonzalez-Ramirez Lucia, Janssen-Aguilar Reinhard, Lopez-Muñoz Ricardo, Perez-Cetina Fernanda, Gaytan-Saucedo Janeth F., Vaquera Zoila, Cornejo-Barrera Judith, Castillo-Pineda Juan Carlos, Murillo-Ramirez Areli, Diaz-Tena Sara P., Figueroa-Nuñez Benigno, González-López Laura, Salinas-Osornio Rocío A., Valencia-Rendón Melesio E., Ángeles-Chimal José, Santa-Olalla Tapia Jesús, Remes-Troche José M., Valdovinos-Chavez Salvador B., Huerta-Avila Eira E., Han XianlinORCID, Orozco Lorena, Rodriguez-Ayala Ernesto, Weintraub Susan, Gallegos-Cabrales Esther C., Cole Shelley A., Kent, Jr. Jack W.
Abstract
Cardiovascular disease (CVD) and type 2 diabetes (T2D) are increasing worldwide. This is mainly due to an unhealthy nutrition, implying that variation in CVD risk may be due to variation in the capacity to manage a nutritional load. We examined the genomic basis of postprandial metabolism. Our main purpose was to introduce the GEMM Family Study (Genetics of Metabolic Diseases in Mexico) as a multi-center study carrying out an ongoing recruitment of healthy urban adults. Each participant received a mixed meal challenge and provided a 5-hours’ time course series of blood, buffy coat specimens for DNA isolation, and adipose tissue (ADT)/skeletal muscle (SKM) biopsies at fasting and 3 h after the meal. A comprehensive profiling, including metabolomic signatures in blood and transcriptomic and proteomic profiling in SKM and ADT, was performed to describe tendencies for variation in postprandial response. Our data generation methods showed preliminary trends indicating that by characterizing the dynamic properties of biomarkers with metabolic activity and analyzing multi-OMICS data it could be possible, with this methodology and research design, to identify early trends for molecular biology systems and genes involved in the fasted and fed states.
Funder
National Institute of Diabetes and Digestive and Kidney Diseases
Subject
Genetics(clinical),Genetics
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|