1. Deep Multi-OMICs and Multi-Tissue Characterization in a Pre- and Postprandial State in Human Volunteers: The GEMM Family Study Research Design
- Author
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Reinhard Janssen-Aguilar, José Ángeles-Chimal, Fernanda Molina-Segui, Benigno Figueroa-Nuñez, Vanessa Giselle Peschard, Shelley A. Cole, Areli Murillo-Ramirez, Irene Leal-Berumen, Raul A. Bastarrachea, José María Remes-Troche, Judith Cornejo-Barrera, Jesús Santa-Olalla Tapia, Rocio A. Salinas-Osornio, Karin Haack, Rosa A. Veloz-Garza, Ernesto Rodríguez-Ayala, Xianlin Han, Fatima A. Buenfil-Rello, Salvador B. Valdovinos-Chavez, Claudia Escudero-Lourdes, Ricardo Lopez-Muñoz, Angélica Martínez-Hernández, Fabiola Escalante-Araiza, Juan Carlos Castillo-Pineda, Jack W. Kent, Lorena Orozco, Laura Gonzalez-Lopez, Eira E. Huerta-Avila, Edna J. Nava-González, Lucia Gonzalez-Ramirez, Zoila Vaquera, Sara P. Diaz-Tena, Fernanda Perez-Cetina, Susan E Weintraub, Janeth F. Gaytan-Saucedo, Melesio E. Valencia-Rendon, Francisco Barajas-Olmos, Esther C. Gallegos-Cabrales, and Hugo Laviada-Molina
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0301 basic medicine ,Research design ,Aging ,lcsh:QH426-470 ,Adipose tissue ,Type 2 diabetes ,Disease ,Cardiovascular ,Bioinformatics ,Article ,Transcriptome ,03 medical and health sciences ,Metabolomics ,Clinical Research ,Genetics ,2.1 Biological and endogenous factors ,postprandial metabolism ,Medicine ,Obesity ,Aetiology ,multi-OMICS ,Metabolic and endocrine ,Genetics (clinical) ,Nutrition ,2. Zero hunger ,Proteomic Profiling ,business.industry ,Prevention ,Diabetes ,Human Genome ,GEMM family study ,medicine.disease ,3. Good health ,lcsh:Genetics ,Good Health and Well Being ,030104 developmental biology ,Postprandial ,business ,mixed meal challenge ,Biotechnology - 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.
- Published
- 2018
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