What is the clinical evidence from this study?

Study design: Observational. Population: Healthy. Intervention: Mixed meal challenge vs. Fasting state. Primary outcome: Variation in postprandial response via multi-OMICs profiling.

November 2, 2018Open Access

Deep Multi-OMICs and Multi-Tissue Characterization in a Pre- and Postprandial State in Human Volunteers: The GEMM Family Study Research Design

Key Result

A mixed meal challenge with multi-OMICs profiling of blood and tissue biopsies demonstrated preliminary trends for identifying molecular biology systems involved in fasted and fed states.

Study Design

Type

Observational

Multicenter

Yes

Structured PICO

Does a mixed meal challenge combined with multi-OMICs profiling identify early trends for molecular biology systems and genes involved in the fasted and fed states in healthy adults?

Population

Healthy urban adults in Mexico undergoing a mixed meal challenge with 5-hour blood and tissue sampling for multi-OMICs profiling.

Exposure

Mixed meal challenge with 5-hours' time course series of blood, buffy coat specimens, and adipose tissue/skeletal muscle biopsies at fasting and 3 h after the meal

Comparator

Fasting state (pre-meal baseline)

Outcome

Genomic basis of postprandial metabolism and variation in postprandial response using multi-OMICs profilingsurrogate

The GEMM Family Study outlines a comprehensive multi-OMICs research design to characterize the dynamic metabolic response to a nutritional load, aiming to better understand cardiovascular and metabolic risk.

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.

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