Deep Multi-OMICs and Multi-Tissue Characterization in a Pre- and Postprandial State in Human Volunteers: The GEMM...

Area of Science:

• Genetics and Genomics
• Metabolic Diseases
• Nutritional Science

Background:

• Rising global prevalence of cardiovascular disease (CVD) and type 2 diabetes (T2D).
• Unhealthy nutrition as a primary driver of metabolic disease risk.
• Need to understand individual capacity to manage nutritional loads and its genetic underpinnings.

Purpose of the Study:

• Introduce the Genetics of Metabolic Diseases in Mexico (GEMM) Family Study.
• Investigate the genomic basis of postprandial metabolism in healthy urban adults.
• Characterize dynamic variations in metabolic responses following a mixed meal challenge.

Main Methods:

• Recruitment of healthy urban adults for a multi-center study.
• Administration of a standardized mixed meal challenge.
• Collection of longitudinal blood, DNA, adipose tissue (ADT), and skeletal muscle (SKM) samples over 5 hours.
• Comprehensive multi-omics profiling: metabolomics (blood), transcriptomics and proteomics (SKM, ADT).

Main Results:

• Preliminary data generation using advanced profiling techniques.
• Characterization of dynamic properties of metabolically active biomarkers.
• Identification of preliminary trends in multi-omics data related to postprandial responses.

Conclusions:

• The GEMM Family Study methodology enables detailed analysis of postprandial metabolic dynamics.
• Multi-omics data analysis shows potential for identifying early molecular trends.
• This research design can uncover genes and systems involved in fasted and fed metabolic states.