Acta Scientific Nutritional Health (ASNH)(ISSN: 2582-1423)

Research Article Volume 5 Issue 10

The Impact of Associations of Various Polymorphisms of Common Metabolic Genes with Muscle Energy Metabolism: An Overview

Thais Verdi*

Dra Thaís Verdi Clinical, Orthomolecular and Sports Nutritionist, Nutritionist in São Paulo, Brazil

*Corresponding Author: Thais Verdi, Dra Thaís Verdi Clinical, Orthomolecular and Sports Nutritionist, Nutritionist in São Paulo, Brazil.

Received: September 09, 2021; Published: September 16, 2021

Abstract

  In recent years, studies have demonstrated the identification of the effects of nutrients on gene expression and their influence on skeletal muscle metabolism. Macronutrients are important dietary signals that control the metabolic programming of cells and play important roles in maintaining cellular homeostasis, influencing specific gene expression. The use of state-of-the-art sequencing, microarray and qPCR array to investigate the expression of transcripts, genes and miRNAs has a crucial impact on the understanding and quantitative measurement of the impact of nutrients and their interaction with genes. In this review, we demonstrate the results of genetic studies of DNA polymorphisms and their association with physical performance. Ten gene variants were identified to show discrete associations with skeletal muscle metabolism (AMPD1 C34T rs17602729, PPAR-􏰂 ⍶ (PPARA) rs8192678, PPAR-D 􏰋(PPARD) rs2016520, PPAR-G (PPARG) rs 1807282, PPARGC1A rs8192678, PPP3R1 5I/5D, UCP2 rs660339, UCP3 rs1800849, TFAM rs1937 and CLOCK/BMAL1 with macronutrient interaction.

Keywords: Gene Expression; Macronutrients; MicroRNA; Exercise; Nutrition

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Citation

Citation: Thais Verdi. “The Impact of Associations of Various Polymorphisms of Common Metabolic Genes with Muscle Energy Metabolism: An Overview". Acta Scientific Nutritional Health 5.10 (2021): 30-35.

Copyright

Copyright: © 2021 Thais Verdi. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Impact Factor1.034

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