Nutrición de precisión: Nutrigenética y nutrigenómica aplicados a la calidad de vida
Revista SAEGRE
pdf
html

Palabras clave

Nutrigenética
Nutrigenómica
Calidad de Vida
Nutrición de Precisión

Cómo citar

1.
Ponce MC, Ricci J, Cólica MV. Nutrición de precisión: Nutrigenética y nutrigenómica aplicados a la calidad de vida. RSAEGRE [Internet]. 9 de julio de 2025 [citado 13 de octubre de 2025];32(2):33-4. Disponible en: https://revistasaegre.com.ar/index.php/revista/article/view/40

Resumen

La alimentación es el factor ambiental más importante que modula la expresión de nuestros genes y por lo tanto nuestra salud. La nutrigenómica y la nutrigenética proporcionan una base científica para la planificación alimentaria personalizada al considerar las diferencias individuales en el metabolismo y la respuesta a los nutrientes. Las variantes genéticas son pequeñas diferencias en el ADN observadas entre individuos. Aunque estas variaciones no causan directamente una enfermedad influyen en la forma en que un individuo metaboliza diferentes nutrientes. El objetivo de esta revisión es analizar la evidencia sobre nutrigénetica y nutrigenómica para la planificación alimentaria personalizada. Planificar una alimentación basándose en la nutrigenética puede mitigar positivamente el riesgo de desarrollar ciertas condiciones de salud como diabetes, obesidad, enfermedades cardiovasculares, osteoporosis e inflamación sistémica crónica.

pdf
html

Citas

Brlek P, Bulić L, Bračić M, Projić P, Škaro V, Shah N, et al. Implementing Whole Genome Sequencing (WGS) in Clinical Practice: Advantages, Challenges, and Future Perspectives. Cells. 2024 Mar 13;13(6):504. doi: 10.3390/cells13060504. PMID: 38534348; PMCID: PMC10969765.

Attia J, Ioannidis JP, Thakkinstian A, McEvoy M, Scott RJ, Minelli C, et al. How to use an article about genetic association: A: Background concepts. JAMA. 2009 Jan 7;301(1):74- 81. doi: 10.1001/jama.2008.901. Erratum in: JAMA. 2009 Mar 11;301(10):1024. PMID: 19126812.

Hinojosa-Nogueira D, Subiri-Verdugo A, Díaz-Perdigones CM, Rodríguez-Muñoz A, Vilches-Pérez A, Mela V, et al . Precisión or Personalized Nutrition: A Bibliometric Analysis. Nutrients 2024, 16, 2922. https://doi.org/10.3390/nu16172922

Sales NMR, Pelegrini PB, Goersch MC. Nutrigenomics: definitions and advances of this new science. J Nutr Metab, 2014:202759. doi: 10.1155/2014/202759. Epub 2014 Mar 25.

Torres N, Tovar AR. The present and future of personalized nutrition. Rev Invest Clin. 2021;73(5):321-325. doi: 10.24875/RIC.21000346. PMID: 34609363.

Ordovas JM, Ferguson LR, Tai ES, Mathers JC. Personalised nutrition and health. BMJ. 2018 Jun 13;361:bmj.k2173. doi: 10.1136/bmj.k2173. PMID: 29898881; PMCID: PMC6081996.

Gropper SS. The Role of Nutrition in Chronic Disease. Nutrients. 2023 Jan 28;15(3):664. doi: 10.3390/nu15030664. PMID: 36771368; PMCID: PMC9921002.

Larrosa M, Gil-Izquierdo A, González-Rodríguez LG, Alférez MJM, San Juan AF, Sánchez-Gómez Á, et al. Nutritional Strategies for Optimizing Health, Sports Performance, and Recovery for Female Athletes and Other Physically Active Women: A Systematic Review. Nutr Rev. 2025 Mar 1;83(3):e1068-e1089.doi: 10.1093/nutrit/nuae082. PMID: 38994896; PMCID: PMC11819490.

Medori MC, Dhuli K, Bonetti G, Donato K, Cristoni S, Ceccarini MR, et al. Nutrigenomics: SNPs correlated to Food Preferences and Susceptibilities. Clin Ter. 2023 Nov-Dec;174(Suppl 2(6)):214-226. doi: 10.7417/CT.2023.2490. PMID: 37994767.

Dávalos Montalvo ME. Determinación de la frecuencia de los polimorfismos del gen TAS2R38 relacionado con la percepción del sabor amargo en individuos del cantón Quito (Tesis de pregrado). Universidad de las Américas, Quito. [Disponible en: http://dspace.udla.edu.ec/handle/33000/5165; http://repositorioslatinoamericanos.uchile.cl/handle/2250/2795678]

Ki SY, Jeong YT. Taste Receptors beyond Taste Buds. International Journal of Molecular Sciences. 2022; 23(17):9677. https://doi.org/10.3390/ijms23179677

Xiang L, Wu H, Pan A, Patel B, Xiang G, Qi L, et al. FTO genotype and weight loss in diet and lifestyle interventions: a systematic review and meta-analysis. Am J Clin Nutr. 2016 Apr;103(4):1162-70. doi: 10.3945/ajcn.115.123448. Epub 2016 Feb PMID: 26888713; PMCID: PMC4807705.

Loos RJ, Yeo GS. The bigger picture of FTO: the first GWAS-identified obesity gene. Nat Rev Endocrinol, 2014;10(1):51-61. doi:10.1038/nrendo.2013.227

Yilmaz-Aydogan H, Kurnaz O, Kucukhuseyin O, Akadam-Teker B, Kurt O, Eronat AP, et al. Different effects of PPARA, PPARG and ApoE SNPs on serum lipids in patients with coronary heart disease based on the presence of diabetes. Gene. 2013 Jul 1;523(1):20-6. doi: 10.1016/j.gene.2013.03.136. Epub 2013 Abr 11. PMID: 23583468.

Brayner B, Kaur G, Keske MA, Livingstone KM. FADS Polymorphism, Omega-3Fatty Acids and Diabetes Risk: A Systematic Review. Nutrients. 2018;10(6):758. doi:10.3390/nu10060758

Kamura Y, Iwata M, Maeda S, Shinmura S, Koshimizu Y, Honoki H, et al. FTO Gene Polymorphism Is Associated with Type 2 Diabetes through Its Effect on Increasing the Maximum BMI in Japanese Men. PLoS One. 2016 Nov 7;11(11):e0165523. doi: 10.1371/journal.pone.0165523. PMID: 27820839; PMCID: PMC5098825.

Naja F, Itani L, Hammoudeh S, Manzoor S, Abbas N, Radwan H, et al. Dietary Patterns and Their Associations With the FTO and FGF21 Gene Variants Among Emirati Adults. Front Nutr. 2021 May 19;8:668901. doi: 10.3389/fnut.2021.668901.PMID: 34095191; PMCID: PMC8171665.

Hernandez-Quiles M, Broekema MF, Kalkhoven E. PPARgamma in Metabolism, Immunity, and Cancer: Unified and Diverse Mechanisms of Action. Front Endocrinol (Lausanne). 2021 Feb 26;12:624112. doi: 10.3389/fendo.2021.624112.PMID: 33716977; PMCID: PMC7953066.

Munoz J, Lok KH, Gower BA, Fernandez JR, Hunter GR,

Lara-Castro C, et al. Polymorphism in the transcription factor 7-like 2 (TCF7L2) gene is associated with reduced insulin secretion in nondiabetic women. Diabetes. 2006 Dec;55(12):3630-4. doi: 10.2337/db06-0574. PMID: 17130514.

Cornelis MC, El-Sohemy A, Campos H. Genetic polymorphism of the adenosine A2A receptor is associated with habitual caffeine consumption. Am J Clin Nutr. 2007 Jul;86(1):240-4. doi: 10.1093/ajcn/86.1.240. PMID: 17616786.

Banks NF, Tomko PM, Colquhoun RJ. Genetic Polymorphisms in ADORA2A and CYP1A2 Influence Caffeine’s Effect on Postprandial Glycaemia. Sci Rep 9, 10532 (2019). https://doi.org/10.1038/s41598-019-46931-0

Anguita-Ruiz A, Aguilera CM, Gil Á. Genetics of Lactose Intolerance: An Updated Review and Online Interactive World Maps of Phenotype and Genotype Frequencies. Nutrients.

Sep 3;12(9):2689. doi: 10.3390/nu12092689. PMID: 32899182; PMCID: PMC7551416.

Comas-Basté O, Sánchez-Pérez S, Veciana-Nogués MT, Latorre- Moratalla M, Vidal-Carou MDC. Histamine Intolerance: The Current State of the Art. Biomolecules. 2020 Aug 14;10(8):1181. doi:10.3390/biom10081181. PMID: 32824107; PMCID: PMC7463562.

Duelo A, Comas-Basté O, Sánchez-Pérez S, Veciana-Nogués MT, Ruiz-Casares E, Vidal-Carou MC, et al. Pilot Study on the Prevalence of Diamine Oxidase Gene Variants in Patients with Symptoms of Histamine Intolerance. Nutrients. 2024 Abr 12;16(8):1142. doi: 10.3390/nu16081142. PMID: 38674832; PMCID: PMC11054051.

Okutan G, Perucho Alcalde T, Ruiz Casares E, Penadés BF, Sánchez Niño GM, Terrén Lora A, et al. Cumulative effect of AOC1 gene variants on symptoms and pathological conditions in adult women with fibromyalgia: a pilot study. Front Genet. 2023 Jun 9;14:1180777. doi: 10.3389/fgene.2023.1180777. PMID: 37359379; PMCID: PMC10288193.

Kim SH, Kang YM, Kim SH, Cho BY, Ye YM, Hur GY, Park HS. Histamine N-methyltransferase 939A>G polymorphism affects mRNA stability in patients with acetylsalicylic acid-intolerant chronic urticaria. Allergy. 2009 Feb;64(2):213-21. doi: 10.1111/j.1398-9995.2008.01795.x. PMID: 19178400.

Sklan EH, Lowenthal A, Korner M, Ritov Y, Landers DM, Rankinen T, et al. Acetylcholinesterase/paraoxonase genotype and expression predict anxiety scores in Health, Risk Factors, Exercise Training, and Genetics study. Proc Natl Acad Sci USA. 2004 Apr 13;101(15):5512-7. doi: 10.1073/pnas.0307659101. Epub 2004 Apr 1. PMID: 15060281; PMCID: PMC397414.

Espino L, Núñez C. The HLA complex and coeliac disease. Int Rev Cell Mol Biol. 2021;358:47-83. doi: 10.1016/bs.ircmb.2020.09.009. Epub 2020 Nov 11. PMID: 33707057.

Silva M, Carvalho MG. Enzimas de desintoxicación: metabolismo celular y susceptibilidad a diversas enfermedades. Rev Assoc Med Bras. 2018, 64 (4): https://doi.org/10.1590/1806-9282.64.04.307

van der Weide J, Steijns LS. Cytochrome P450 enzyme system: genetic polymorphisms and impact on clinical pharmacology. Ann Clin Biochem. 1999 Nov;36 ( Pt 6):722-9. doi: 10.1177/000456329903600604. PMID: 10586308.

Aronica L, Ordovas JM, Volkov A, Lamb JJ, Stone PM, Minich D, et al. Genetic Biomarkers of Metabolic Detoxification for Personalized Lifestyle Medicine. Nutrients 2022, 14, 768. https://doi.org/10.3390/nu14040768

Hosák L. Role of the COMT gene Val158Met polymorphism in mental disorders: a review. Eur Psychiatry. 2007 Jul;22(5):276-81. doi: 10.1016/j.eurpsy.2007.02.002. Epub 2007 Apr 6. PMID: 17419009.

Kussmann M, Krause L, Siffert W. Nutrigenomics: where are we with genetic and epigenetic markers for disposition and susceptibility? Nutr Rev. 2010 Nov;68 Suppl 1:S38-47. doi:10.1111/j.1753-4887.2010.00326.x. PMID: 20946367.

Wu FY, Yin RX. Recent progress in epigenetics of obesity.

Diabetol Metab Syndr. 2022 Nov 17;14(1):171. doi: 10.1186/s13098-022-00947-1. PMID: 36397166; PMCID: PMC9670650.

Rosen ED, Kaestner KH, Natarajan R, Patti ME, Sallari R, Sander M, et al. Epigenetics and Epigenomics: Implications for Diabetes and Obesity. Diabetes. 2018 Oct;67(10):1923- 1931. doi: 10.2337/db18-0537. PMID: 30237160; PMCID: PMC6463748.

Mosca P, Leheup B, Dreumont N. Nutrigenomics and RNA methylation: role of micronutrients. Biochimie. 2019, (164): 53-59. DOI: https://doi.org/10.1016/j.biochi.2019.07.008

Liew SC, Gupta ED. Methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism: epidemiology, metabolism and the associated diseases. Eur J Med Genet. 2015 Ene;58(1):1-10. doi: 10.1016/j.ejmg.2014.10.004. Epub 2014 Nov 4. PMID: 25449138.

Raghubeer S, Matsha TE. Methylenetetrahydrofolate (MTHFR), the One-Carbon Cycle, and Cardiovascular Risks. Nutrients. 2021 Dic 20;13(12):4562. doi: 10.3390/nu13124562. PMID: 34960114; PMCID: PMC8703276.

Fernández-Sánchez A, Madrigal-Santillán E, Bautista M, Esquivel- Soto J, Morales-González A, Esquivel-Chirino C, et al. Inflammation, oxidative stress, and obesity. Int J Mol Sci. 2011;12(5):3117-32. doi: 10.3390/ijms12053117. Epub 2011 May 13. PMID: 21686173; PMCID: PMC3116179.

Alqahtani T, Deore SL, Kide AA, Shende BA, Sharma R, Dadarao Chakole R, et al. Mitochondrial dysfunction and oxidative stress in Alzheimer’s disease, and Parkinson’s disease, Huntington’s disease and Amyotrophic Lateral Sclerosis -An updated review. Mitochondrion. 2023 Jul;71:83-92. doi: 10.1016/j.mito.2023.05.007. Epub 2023 Jun 1. PMID: 37269968.

Zafar G, Amir HF, Rasoul Z, Yousef R. Association of glutathione peroxidase 1 gene polymorphism (rs1050450) with Hashimoto’s thyroiditis in Northwest Iran. Meta Gene. 2018 (17): 216-222. https://doi.org/10.1016/j.mgene.2018.06.014

Sharma A, Pandey A, Sharma S, Chatterjee I, Mehrotra R, Sehgal A, et al. Genetic polymorphism of glutathione S-transferase P1 (GSTP1) in Delhi population and comparison with other global populations. Meta Gene. 2014 Ene 20;2:134-42. doi: 10.1016/j.mgene.2013.12.003. PMID: 25606397; PMCID: PMC4287809.

Franzago M, Santurbano D, Vitacolonna E, Stuppia L. Genes and Diet in the Prevention of Chronic Diseases in Future Generations. Int J Mol Sci. 2020 Abr 10;21(7):2633. doi: 10.3390/ijms21072633. PMID: 32290086; PMCID: PMC7178197.

Bordoni L, Gabbianelli R. Primers on nutrigenetics and nutri(epi)genomics: Origins and development of precision nutrition.

Biochimie. 2019 May;160:156-171. doi: 10.1016/j.biochi.2019.03.006. Epub 2019 Mar 13. PMID: 30878492.

Hernandez-Quiles M, Broekema MF, Kalkhoven E. PPARgamma in Metabolism, Immunity, and Cancer: Unified and Diverse Mechanisms of Action. Front Endocrinol (Lausanne). 2021 Feb 26;12:624112. doi: 10.3389/fendo.2021.624112. PMID: 33716977; PMCID: PMC7953066.

Wei BL, Yin RX, Liu CX. The MC4R SNPs, their haplotypes and gene-environment interactions on the risk of obesity. Mol Med. 2020, 26, 77: https://doi.org/10.1186/s10020-020-00202-1

Huang T, Zheng Y, Hruby A, Williamson DA, Bray GA, Shen Y, et al. Dietary Protein Modifies the Effect of the MC4R Genotype on 2-Year Changes in Appetite and Food Craving: The POUNDS Lost Trial. J Nutr. 2017 Mar;147(3):439-444. doi: 10.3945/jn.116.242958. Epub 2017 Feb 1. PMID: 28148682; MCID: PMC5320402.

López-Guimerà G, Dashti HS, Smith CE, Sánchez-Carracedo D, Ordovas JM, Garaulet M. CLOCK 3111 T/C SNP interacts with emotional eating behavior for weight-loss in a Mediterranean population. PLoS One. 2014 Jun 6;9(6):e99152. doi:

1371/journal.pone.0099152. PMID: 24905098; PMCID: MC4048277. 49. Kiani AK, Bonetti G, Donato K, Kaftalli J, Herbst KL, Stuppia L, et al. Polymorphisms, diet and nutrigenomics. J Prev Med Hyg. 2022 Oct 17;63(2 Suppl 3):E125-E141. doi: 0.15167/2421-4248/jpmh2022.63.2S3.2754. PMID: 36479483;PMCID: PMC9710387.

Ekmekcioglu, C. Nutrition and longevity – From mechanisms to uncertainties. Critical Reviews in Food Science and Nutrition, 2019. 60(18), 3063–3082. https://doi.org/10.1080/10408398.2019.1676698

Esta obra está bajo licencia internacional

Atribución-NoComercial-CompartirIgual 4.0 Internacional

Los documentos publicados en esta revista están bajo la licencia Creative Commons Atribución NoComercial-4.0 Internacional

Descargas

Los datos de descargas todavía no están disponibles.