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

References

  1. PEREGRIN T. “The new frontier of nutrition science: nutrigenomics”. Journal of the American Dietetic Association 101 (2001): 306.
  2. SLONIM D K. “From patterns to pathways: gene expression data analysis comes of age”. Nature Genetics 32 (2002): 502-508.
  3. CHUAQUI R F., et al. “Post-analysis follow-up and validation of microarray experiments”. Nature Genetics 32 (2002): 509-514.
  4. ROBERTS M A., et al. “Genomics: food and nutrition”. Current Opinion in Biotechnology 12 (2001): 516-522.
  5. DANIEL H. “Genomics and proteomics: importance for the future of nutrition research”. British Journal of Nutrition 87 (2002): 305-311.
  6. BRAY MS., et al. “The human gene map for performance and health-related fitness phenotypes: the 2006-2007 update”. Medicine and Science in Sports and Exercise 1 (2009): 35-73.
  7. VERDI T. “Genética: Modulação da expressão genética e estratégias na performance física”. Livro: Nutrição esportiva, 1a edição. Ed Metha, 2 (2020): 43-63.
  8. BOUCHARD C. “Genomic redictors of trainability”. Experimental Physiology3 (2012): 347-352.
  9. LUCIA A., et al. “Elite athletes: are the genes the champions?”. International Journal of Sports Physiology and Performance1 (2010): 98.
  10. COUSINS RJ. “Nutritional regulation of gene expression”. The American Journal of Medicine 106 (1999): 20S-23S; discussion 50S-51S.
  11. SOHEL MMH. “Extracellular/Circulating MicroRNAs: Release Mechanisms, Functions and Challenges”. Achievement on Life Science 10 (2016): 175-186.
  12. VAN OMMEN B and STIERUM R. “Nutrigenomics: exploiting systems biology in the nutrition and health arena”. Current Opinion in Biotechnology 13 (2002): 517-521.
  13. MULLER M., et al. “Nutrigenomics: goals and strategies”. Nature Reviews on Genetics 4 (2003): 315-322.
  14. KOO H-Y., et al. “Dietary fructose induces a wide range of genes with distinct shift in carbohydrate and lipid metabolism in fed and fasted rat liver”. Biochimica et Biophysica Acta (1782): 341-348.
  15. WANGX L X., et al. “Maternal nutrition during pregnancy is associated with differential expression of imprinted genes and DNA methyltranfereases in muscle of beef cattle offspring”. Journal of Animal Science 93 (2015): 35-40.
  16. MAEHLUM S and HERMANSEN L. “Muscle glycogen concentration during recovery after prolonged severe exercise in fasting subjects”. Scandinavian Journal of Clinical and Laboratory Investigation 38 (1978): 557-560.
  17. PINEDA TI., et al. “Bile acids induce the expression of the human peroxisome proliferator-activated receptor-a gene via activation of the farnesoid X receptor”. Molecular Endocrinology 17 (2003): 259-272.
  18. PLASS JR., et al. “Farnesoid X receptor and bile salts are involved in transcriptional regulation of the gene encoding the human bile salt export pump”. Hepatology 35 (2002): 589-596.
  19. ANANTHANARAYANAN M., et al. “Human bile salt export pump promoter is transactivated by the farnesoid X receptor/bile acid receptor”. Journal of Biological Chemistry 31 (2001): 28857-28865.
  20. LOPEZ-LEON S., et al. “Sports genetics: the PPARA gene and athletes’ high ability in endurance sports. A systematic review and meta-analysis”. Biology Sport1 (2016): 3-6.
  21. BROWN MS and GOLDSTEIN JL. “Sterol regulatory element binding proteins (SREBPs): controllers of lipid synthesis and cellular uptake”. Nutrition Review 56 (1998): S1-S3.
  22. COFFEY VG., et al. “Effect of consecutive repeated sprint and resistance exercise bouts on acute adaptive responses in human skeletal muscle”. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 297 (2009): R1441-R1451.
  23. KOVAL JA., et al. “Regulation of hexokinase II activity and expression in human muscle by moderate exercise”. American Journal of Physiology-Endocrinology and Metabolism 274 (1998): E304-E308.
  24. KRANIOU Y., et al. “Effects of exercise on GLUT-4 and glycogenin gene expression in human skeletal muscle”. Journal of Applied Physiology 88 (2000): 794-796.
  25. ROTH SM., et al. “Advances in exercise, tness, and performance genomics in 2011”. Medicine and Science in Sports and Exercise5 (2012): 809-817.
  26. RICO-SANZ J., et al. “Associations between cardiorespiratory responses to exercise and the C34T AMPD1 gene polymorphism in the HERITAGE Family Study”. Physiology Genomics 14 (2003): 161-166.
  27. FEDOTOVSKAYA ON., et al. “Effect of AMPD1 Gene Polymorphism on Muscle Activity in Humans”. Bulletin of Experimental Biology and Medicine 154 (2013): 489-491.
  28. GABRIEL BM., et al. “Circadian rhythms and exercise — re-setting the clock in metabolic disease”. Nature Review on Endocrinology 15 (2019): 197-206.
  29. LEFEBVRE P., et al. “Sorting out the roles of PPAR􏰀 in energy metabolism and vascular homeostasis”. Journal of Clinical Investigation 116 (2006): 571-580.
  30. Luquet S., et al. “Roles of PPAR delta in lipid absorption and metabolism: A new target for the treatment of type 2 diabetes”. Biochimica et Biophysica Acta - Molecular Basis of Disease 2 (2005): 313-317.
  31. Aberle J., et al. “Association of peroxisome proliferator-activated receptor delta +294T/C with body mass index and interaction with peroxisome proliferator-activated receptor alpha L162V”. International Journal of Obesity 30 (2006): 1709-1713.
  32. ULF Risérus., et al. “Activation of Peroxisome Proliferator-Activated Receptor (PPAR)δ Promotes Reversal of Multiple Metabolic Abnormalities, Reduces Oxidative Stress, and Increases Fatty Acid Oxidation in Moderately Obese Men”. Diabetes 2 (2008): 332-339.
  33. CHARLOTTE B., et al. “Deoxyribonucleic Acid Methylation and Gene Expression of PPARGC1A in Human Muscle Is Influenced by High-Fat Overfeeding in a Birth-Weight-Dependent Manner”. The Journal of Clinical Endocrinology and Metabolism6 (2010): 3048-3056.
  34. Sylvie Dufour., et al. “Disassociation of Liver and Muscle Insulin Resistance from Ectopic Lipid Accumulation in Low-Birth-Weight Individuals”. The Journal of Clinical Endocrinology and Metabolism12 (2011): 3873-3880.
  35. DAEMEN S and SCHILLING JD. “The Interplay Between Tissue Niche and Macrophage Cellular Metabolism in Obesity”. Frontiers in Immunology 10 (2020): 3133.
  36. AHMETOV II., et al. “The combined impact of metabolic gene polymorphisms on elite endurance athlete status and related phenotypes”. Human Genetics6 (2009): 751-761.
  37. Cheol Soo Choi., et al. “Overexpression of uncoupling protein 3 in skeletal muscle protects against fat-induced insulin resistance”. Journal of Clinical Investigation7 (2007): 1995-2003.
  38. JIN-HO KOH., et al. “TFAM Enhances Fat Oxidation and Attenuates High-Fat Diet-Induced Insulin Resistance in Skeletal Muscle”. Diabetes 68 (2019): 1552-1564
  39. Challet E. The circadian regulation of food intake”. Nature Review on Endocrinology 15 (2019): 393-405.

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.




Metrics

Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.316

Indexed In





News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is July 10, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US