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Evaluation of Glucokinase (Gck) rs4607517 Polymorphism Frequency and Nutritional Habits in Patients with Type 2 Diabetes
Abstract
Objectives/Background: The aim of this study was to investigate nutritional habits, biochemical markers and the allele and genotype frequencies of GCK rs4607517 -30G>A polymorphism of patients with Type 2 Diabetes Mellitus (T2DM).
Methods: The study was conducted with 200 T2DM patients and 100 controls. The analysis of GCK Gene rs4607517 -30G>A polymorphism was performed by Real-Time PCR method. The Attitude Scale for Healthy Nutrition was applied to the intervention group. Additionally, the sociodemographic data of the patients were collected, anthropometric measurements were performed and their biochemical markers were examined.
Results: The mean duration of diabetes of the patients was 7.94±5.81 years, the mean age 55.88±12.23 years, the mean BMI 30.14±5.91 kg/m2, and the mean HbA1c value was 7.74±1.97. There was no difference between allele and genotype frequencies of two groups (p>0.05). The anthropometric and biochemical values of the patients with different genotype was similar (p>0,05). Furthermore, as the HbA1c values of the patients increased, the Malnutrition score was found to increase, and there was a statistically significant found between the groups (p=0.012).
Conclusion: Although there are studies related to the effect of rs4607517 polymorphism in the GCK gene on the development of T2DM, the fact that the frequency of polymorphism of the patient group in our study was similar to the control group makes it necessary for the variant to be screened in larger patient populations. The majority of patients with T2DM were found to have high levels of HbA1c, LDL cholesterol, and triglycerides, inadequate level of nutrition knowledge and were obese.
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Li C, Sadraie B, Steckhan N, Kessler C, Stange R, Jeitler M, Michalsen A. Effects of A One-week Fasting Therapy in Patients with Type-2 Diabetes Mellitus and Metabolic Syndrome - A Randomized Controlled Explorative Study. Exp Clin Endocrinol Diabetes. 2017; 125(9):618-624. doi: 10.1055/s-0043-101700.
Freemantle N, Mauricio D, Giaccari A, at al. Real-world outcomes of treatment with insulin glargine 300 U/mL versus standard-of-care in people with uncontrolled type 2 diabetes mellitus. Curr Med Res Opin. 2020;36(4):571-581. doi: 10.1080/03007995.2019.1708287.
Saeedi P, Salpea P, Karuranga S, et al.. Mortality attributable to diabetes in 20–79 years old adults, 2019 estimates: results from the International Diabetes Federation Diabetes Atlas. Diabetes Research and Clinical Practice. 2020;162.
World Health Organization. Diabetes. [on‐line]. Available at https://www.who.int/health-topics/diabetes#tab=tab_1Accessed 10.06.2021.
World Health Organization. Definition, Diagnosis and Classification of Diabetes Mellitus and Its Complications: Report of a WHO Consultation. Part 1, Diagnosis and Classification of Diabetes Mellitus. World Health Organization Department of Non communicable Disease Surveillance. 1999
Knowler WC, Crandall JP, Chiasson JL, Nathan DM., at al.. Prevention Of Type 2 Diabetes.Diabetes in America. 3rd edition. Bethesda (MD): National Institute of Diabetes and Digestive and Kidney Diseases (US); 2018 Aug. CHAPTER 38.
Purnell JQ. Feingold KR, Anawalt B., at al. Definitions, Classification, and Epidemiology of Obesity. Endotext [Internet]. South Dartmouth (MA): MDText.com, 2018: Inc.; 2000–.
Postic C, Shiota M, Magnuson MA. Cell-specific roles of glucokinase in glucose homeostasis. Recent Prog Horm Res. 2001;56:195–217. doi: 10.1210/rp.56.1.195.
Matschinsky FM. Regulation of pancreatic beta-cell glucokinase: from basics to therapeutics. Diabetes 2002;1(Suppl. 3):S394-S404
Matschinsky FM, Glaser B, Magnuson MA. Pancreatic beta-cell glucokinase: closing the gap between theoretical concepts and experimental realities. Diabetes. 1998;47:307–315. doi: 10.2337/diabetes.47.3.307.
Hussain K. Mutations in pancreatic β-cell glucokinase as a cause of hyperinsulinaemic hypoglycaemia and neonatal diabetes mellitus. Rev Endocr Metab Disord. 2010;11:179 183. doi: 10.1007/s11154-010-9147-z.
Aleem S, Iqbal R, Shar T, at al. Complications of Diabetes: An Insight into Genetic Polymorphism and Role of Insulin.Recent Pat Inflamm Allergy Drug Discov. 2018;12(1):78-86. doi: 10.2174/1872213X12666180717165331.
Wędrychowicz A, Tobór E, Wilk M, at al. Phenotype Heterogeneity in Glucokinase-Maturity-Onset Diabetes of the Young (GCK-MODY) Patients.J Clin Res Pediatr Endocrinol. 2017;1;9(3):246-252. doi: 10.4274/jcrpe.4461.
Voevoda MI, Ivanova AA, Shakhtshneider EV, at al. Molecular genetics of maturity-onset diabetes of the young. 2016; 88(4):117-124. doi: 10.17116/terarkh2016884117-124.
Tekkurşun Demir, G, Cicioğlu, Hİ Sağlıklı Beslenmeye İlişkin Tutum Ölçeği (SBİTÖ): Geçerlik ve Güvenirlik Çalışması (Attitude Scale for Healthy Nutrition (ASHN): Validity and Reliability Study). Gaziantep Üniversitesi Spor Bilimleri Dergisi, 2019, 4(2), 256-274. DOI: 10.31680/gaunjss.559462
International Diabetes Federation. IDF Diabetes Atlas, 7 ed. Brussels, Belgium: International Diabetes Federation, 2015.
Dinçağ, N. Sürekli glukoz izleme sistemi-diabette kendi kendine izleme, IV. Uluslararası beslenme ve diyetetik kongresi özet kitabı, 2008, 144- 145.
Satman İ., Ömer B, Tütüncü Y., Kalaca S., Gedik S., Dinccag N., Karsidag K., Genc S., Telci A., Canbaz B., Turker F., Yımaz T., Cakir B, Tuomilehto J., Twelve-year trends in the prevalence and risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol 2013; 28:169–180. DOI 10.1007/s10654-013-9771-5.
Satman, İ., Tip 2 Diyabet Epidemiyolojisi. Ed: İmamoğlu Ş. ve Ark. Editors. Geçmişten geleceğe diyabetes mellitus, 1. Baskı, BAYT Bilimsel Araştırmalar Basın Yayın ve Tanıtım Ltd. Şti, Ankara, s.35-43, 2015.
İmamoğlu, Ş., Ersoy, C.Ö., Gürdal, B.Ş.:Diabetes mellitus 2009 Multidisipliner Yaklaşımla Tanı, Tedavi Ve İzlem, Diabetes Mellitusta Tıbbi Beslenme Tedavisi, 3. baskı, Deomed Medikal Yayıncılık, s.115-121, 2009.
Türkiye Endokrinoloji ve Metabolizma Derneği Yayınları. Diabetes mellitus ve komplikasyonlarının tanı, tedavi ve izlem kılavuzu 2020. TEMD Diabetes Mellitus Çalışma ve Eğitim Grubu tarafından hazırlanmıştır. ANKARA, 2020; ISBN: 978-605-4011-40-7.
Saeedi P, Salpea P, Karuranga S, et al. Mortality attributable to diabetes in 20–79 years old adults, 2019 estimates: results from the International Diabetes Federation Diabetes Atlas. Diabetes Research and Clinical Practice. 2020;162, 108086
American Diabetes Association. Diagnosis and Classification of Diabetes Mellitus. 2007, Diabetes Care, 30(Supplement_1).
Goyal R, Jialal I. Diabetes Mellitus Type 2. 2020, Nov 20. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 Jan–.
Sapra A, Bhandari P. Diabetes Mellitus. Feb 23. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 Jan–.
Weiss M, Steiner DF, Philipson LH., at al. Insulin Biosynthesis, Secretion, Structure, and Structure-Activity Relationships. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc 2000; 2000–.
Hussain TA, Mathew TC, Dashti AA, Asfar S, Al-Zaid N, Dashti HM. Effect of low-calorie versus low-carbohydrate ketogenic diet in type 2 diabetes.Nutrition. 2012;28(10):1016-21. doi: 10.1016/j.nut.2012.01.016.
Bonakdaran S, Kharaqani B.. Association of serum uric acid and metabolic syndrome in type 2 diabetes.Curr Diabetes Rev. 2014;10(2):113-7. doi: 10.2174/1573399810666140228160938.
Calle MC, Fernandez ML. Inflammation and type 2 diabetes.Diabetes Metab. 2018; 38(3):183-91. doi: 10.1016/j.diabet.2011.11.006.
Palacios T, Vitetta L, Coulson S, Madigan CD, Denyer GS, Caterson ID. The effect of a novel probiotic on metabolic biomarkers in adults with prediabetes and recently diagnosed type 2 diabetes mellitus: study protocol for a randomized controlled trial.Trials. 2017; 9;18(1):7. doi: 10.1186/s13063-016-1762-x.
Gloyn, AL., Tribble, N.D., van de Bunt, M., Barrett, A., Johnson, P.R.V., Glucokinase (GCK) and other susceptibility genes for beta-cell dysfunction: the candidate approach. Biochem. Soc. Trans. 2008;36:306–311. https://doi.org/10.1042/BST0360306.
Dimas, AS., Lagou, V., Barker, A. et al.. Impact of type 2 diabetes susceptibility variants on quantitative glycemic traits reveals mechanistic heterogeneity. Diabetes 2014;63, 2158–2171. https://doi.org/10.2337/db13-0949.
Caro-Gomez, MA., Naranjo-González, A., Parra-Marín, M.V., et al. Insulin resistance and β-cell function in Colombian mestizo and Embera-Chamí populations and their relation with adiposity degree. Endocrinol. Diabetes Nutr. 2017; 64, 211–220.
Franks, PW.; Pearson, E.; Florez, J.C. Gene-environment and gene-treatment interactions in type 2 diabetes: Progress, pitfalls, and prospects. Diabetes Care 2013, 36, 1413–1421.
Ling, C.; Groop, L. Epigenetics: A molecular link between environmental factors and type 2 diabetes. Diabetes 2009, 58, 2718–2725.
Matsha TE, Raghubeer S, Tshivhase AM. Incidence of HNF1A and GCK MODY Variants in a South African Population The Application of Clinical Genetics 2020:13 209–219.
Repchuk Y, Sydorchuk LP, Sydorchuk AR, et al. Linkage of blood pressure, obesity and diabetes mellitus with angiotensinogen gene (AGT 704T>C/rs699) polymorphism in hypertensive patients. Bratisl Lek Listy. 2021;122(10):715-720. doi: 10.4149/BLL_2021_114. PMID: 34570572.
DOI: https://doi.org/10.15408/avicenna.v2i2.23793 Abstract - 0 PDF - 0
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