Identification of genetic biomarkers to predict the response to nutritional therapy in patients with Type 2 Diabetes
DOI:
https://doi.org/10.56294/saludcyt20251290Keywords:
Biomarker, Type 2 Diabetes, Nutritional therapyAbstract
Introduction: The identification of genetic biomarkers to predict the response to nutritional therapy in patients with type 2 diabetes (T2D) has become a promising area to improve the response to therapeutic interventions. In addition, biomarkers are of great help as biological determinants, to study, evaluate and determine Diabetes Mellitus 2. Objective: To analyze the genetic biomarkers associated with the response to nutritional therapy in patients with type 2 diabetes, in order to contribute to the development of personalized strategies that optimize metabolic control and improve the effectiveness of nutritional treatment. Methodology: Systematic review based on PRISMA. 15 studies published between 2018-2023 in databases such as PubMed, Scopus, Scielo, etc. were included. The inclusion criteria were articles on genetic biomarkers, original, systematic review, case studies. Publications prior to 2017, theses and duplicate articles, articles without free access were excluded. Results: The findings highlight the importance of polygenic markers and epigenetic factors, such as DNA methylation, in predicting therapeutic outcomes. Furthermore, the influence of dietary patterns on biomarker expression emphasizes the potential of personalized nutritional strategies in the management of type 2 diabetes. Conclusion: Despite advances in biomarker research, further studies are needed, particularly in Latin American populations, to develop effective interventions tailored to genetic profiles. This study underscores the importance of integrating genetic and environmental factors to improve clinical outcomes in the treatment of type 2 diabetes
References
1. Novelli G, Ciccacci C, Borgi ani P, Papaluca Amati M, Abadie E. Genetic tests and genomic biomarkers: regulation, qualification and validation. Clin Cases Miner Bone Metab. 2008 May;5(2):149-54. PMID: 22460999; PMCID: PMC2781197 https://pmc.ncbi.nlm.nih.gov/articles/PMC2781197/
2. Palau, F. (2018). Biomarcadores y medicina personalizada en las enfermedades raras. Arbor, 194 (789): a465. https://doi.org/10.3989/arbor.2018.789n3007
3. Laakso M. Biomarkers for type 2 diabetes. Mol Metab [Internet]. 2019;27:S139–46. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S2212877819305770
4. Maroño P. Papel de la genética en el diagnóstico de la Diabetes Mellitus [Internet]. Dreamgenics. 2022 [citado el 8 de diciembre de 2024]. Disponible en: https://www.dreamgenics.com/2022/04/04/papel-de-la-genetica-en-la-diabetes-mellitus/
5. Castaño L, Martínez R, Urrutia E. Impacto de la genética en el diagnóstico, tratamiento y prevención de la diabetes [Internet]. Revista Diabetes. 2023 [citado el 3 de diciembre de 2024]. Disponible en: https://www.revistadiabetes.org/?p=103959
6. Lorente-Cebrián S, González-Muniesa P, Milagro FI, Martínez JA. MicroRNAs and other non-coding RNAs in adipose tissue and obesity: emerging roles as biomarkers and therapeutic targets. Clin Sci (Lond). 2019 Jan 3;133(1):23-40. doi: 10.1042/CS20180890. PMID: 30606812. [citado el 28 de diciembre de 2022]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/30606812/
7. Jiménez-Lucena R, Camargo A, Alcalá-Diaz JF, Romero-Baldonado C, Luque RM, van Ommen B, Delgado-Lista J, Ordovás JM, Pérez-Martínez P, Rangel-Zúñiga OA, López-Miranda J. A plasma circulating miRNAs profile predicts type 2 diabetes mellitus and prediabetes: from the CORDIOPREV study. Exp Mol Med. 2018 Dec 26;50(12):1-12. doi: 10.1038/s12276-018-0194-y. PMID: 30598522; PMCID: PMC6312530. [consultado el 8 de diciembre de 2024]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/30598522
8. Guopen L, Xuzhi W, Dan L, Yuxi W, Chengfeng Y, Chao Z. COL1A1 as a potencial new biomarker and therapeutic target for type 2 diabetes. Pharmacological Research. [consultado el 8 de diciembre de 2024]. Disponible en: https://www.sciencedirect.com/science/article/abs/pii/S1043661821000190?via%3Dihub
9. Koivula RW, Forgie IM, Kurbasic A, Viñuela A, Heggie A, Giordano GN, Hansen TH, Hudson M, Koopman ADM, Rutters F, De Masi F, Groves CJ, Kokkola T, Mahajan A, Perry MH, Rauh SP, Ridderstråle M. IMI DIRECT Consortium. Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI DIRECT Consortium. Diabetologia. 2019 Sep;62(9).:1601-1615. doi: 10.1007/s00125-019-4906-1. Epub 2019 Jun 15. PMID: 31203377; PMCID: PMC6677872. [consultado el 8 de diciembre de 2024]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/31203377/
10. Zheng JS, Sharp SJ, Imamura F, Chowdhury R, Gundersen TE, Steur M, Sluijs I, van der Schouw YT, Agudo A, Aune D, Barricarte A, Boeing H, Chirlaque MD, Dorronsoro M, Freisling H, El-Fatouhi D, Franks PW, Fagherazzi G, Grioni S, Gunter MJ, Kyrø C, Katzke V, Kühn T, Khaw KT, Laouali N, Masala G, Nilsson PM, Overvad K, Panico S, Papier K, Quirós JR, Rolandsson O, Redondo-Sánchez D, Ricceri F, Schulze MB, Spijkerman AMW, Tjønneland A, Tong TYN, Tumino R, Weiderpass E, Danesh J, Butterworth AS, Riboli E, Forouhi NG, Wareham NJ. Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries. BMJ. 2020 Jul 8;370:m2194. PMID: 32641421; PMCID: PMC7341350. [consultado el 8 de diciembre de 2024]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/32641421/
11. Gkouskou K, Lazou E, Skoufas E, Eliopoulos AG. Genetically Guided Mediterranean Diet for the Personalized Nutritional Management of Type 2 Diabetes Mellitus. Nutrients. 2021 Jan 25;13(2):355. doi: 10.3390/nu13020355. PMID: 33503923; PMCID: PMC7912380. [consultado el 8 de diciembre de 2024]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/33503923/
12. Parrillo L, Spinelli R, Nicolò A, Longo M, Mirra P, Raciti GA, Miele C, Beguinot F. Nutritional Factors, DNA Methylation, and Risk of Type 2 Diabetes and Obesity: Perspectives and Challenges. Int J Mol Sci. 2019 Jun 19;20(12):2983. PMID: 31248068; PMCID: PMC6627657. [consultado el 8 de diciembre de 2024]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/31248068/
13. Lotta LA, Pietzner M, Stewart ID, Wittemans LBL, Li C, Bonelli R, Raffler J, Biggs EK, Oliver-Williams C, Auyeung VPW, Luan J, Wheeler E, Paige E, Surendran P, Michelotti GA, Scott RA, Burgess S, Zuber V, Sanderson E, Koulman A, Imamura F, Forouhi NG, Khaw KT; MacTel Consortium; Griffin JL, Wood AM, Kastenmüller G, Danesh J, Butterworth AS, Gribble FM, Reimann F, Bahlo M, Fauman E, Wareham NJ, Langenberg C. A cross-platform approach identifies genetic regulators of human metabolism and health. Nat Genet. 2021 Jan;53(1):54-64. doi: 10.1038/s41588-020-00751-5. Epub 2021 Jan 7. PMID: 33414548; PMCID: PMC7612925. [consultado el 8 de diciembre de 2024]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/33414548/
14. Sobiecki JG, Imamura F, Davis CR, Sharp SJ, Koulman A, Hodgson JM, Guevara M, Schulze MB, Zheng JS, Agnoli C, Bonet C, Colorado-Yohar SM, Fagherazzi G, Franks PW, Gundersen TE, Jannasch F, Kaaks R, Katzke V, Molina-Montes E, Nilsson PM, Palli D, Panico S, Papier K, Rolandsson O, Sacerdote C, Tjønneland A, Tong TYN, van der Schouw YT, Danesh J, Butterworth AS, Riboli E, Murphy KJ, Wareham NJ, Forouhi NG. A nutritional biomarker score of the Mediterranean diet and incident type 2 diabetes: Integrated analysis of data from the MedLey randomised controlled trial and the EPIC-InterAct case-cohort study. PLoS Med. 2023 Apr 27;20(4):e1004221. doi: 10.1371/journal.pmed.1004221. PMID: 37104291; PMCID: PMC10138823. [consultado el 8 de diciembre de 2024]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/37104291/
15. Nimptsch K, Konigorski S, Pischon T. Diagnosis of obesity and use of obesity biomarkers in science and clinical medicine. Metabolism [Internet]. 2019;92:61–70. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S002604951830266X.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Domenica Monserrath Robayo Poveda, Nathaly Michelle Sánchez Guarnizo, Ángel Rafael Balarezo Montaño, Carlos Fabian Argotti Zumbana, Edison Joshua Jijón Sánchez, María de Lourdes Larrea Paredes, Doris Jeanneth Jiménez Duran, Jonathan Luis Cruz Pierard, Stephanie Marie Cruz Pierard, Oscar Isidro Sánchez Ganchozo (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.