Uneingeschränkter Zugang

Identification of DNA methylation of CAPN10 gene changes in the patients with type 2 diabetes mellitus as a predictive biomarker instead of HbA1c, random blood sugar, lipid profile, kidney function test, and some risk factors


Zitieren

Abbasi A, Juszczyk D, van Jaarsveld CHM, Gulliford MC. Body mass index and incident type 1 and type 2 diabetes in children and young adults: a retrospective cohort study. J Endocr Soc 1, 524–537, 2017. Search in Google Scholar

Asllanaj E, Ochoa-Rosales C, Glisic M, Nano J, Muka T, Franco OH. Chromatin landscape and epigenetic biomarkers for clinical diagnosis and prognosis of type 2 diabetes mellitus. In: Prognostic epigenetics 289–324, 2019. Academic PressAzeez F, Sultan S, Othman L. Estimation of urea and creatinine in type 2 diabetes mellitus patients. In: Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart Planning, IMDC-SDSP 2020, Cyperspace, 28–30 June 2020. Search in Google Scholar

Bai XF, Wang H, Zhao QL. Hemoglobin within normal range is negatively related to hemoglobin A1c in a nondiabetic American population aged 16 years and older. World J Diabetes 13, 251–259, 2022. Search in Google Scholar

Bennett CM, Guo M, Dharmage SC. HbA(1c) as a screening tool for detection of type 2 diabetes: a systematic review. Diabet Med 24, 333–343, 2007. Search in Google Scholar

Chabi N, Tineponanti V, Basile SG, Alassane A, Kohonou NA, Sina H, Baba-Moussa L. Study of association of CAPN 10 gene’s polymorphism SNP19 with type 2 diabetes in ethnic group of Atacora District, Republic of Benin. Am J Clin Med Res 8, 18–22, 2020. Search in Google Scholar

Gao W, Jin Y, Huang Y, Tang H. Discordantly high glycated hemoglobin might assist in diagnosing α-thalassemia, but not diabetes: A case report. J Diab Invest 13, 1633–1635, 2022. Search in Google Scholar

Joyce B, Liu H, Wang L, Wang J, Zheng Y, Nannini D, Drong A, Shiau S, Li W, Leng J, Shen Y, Gao R, Baccarelli A, Search in Google Scholar

Hu G, Hou L. Abstract P073: A novel epigenetic link between gestational diabetes mellitus and macrosomia. Circulation 139, P073, 2019. Search in Google Scholar

Knudsen JS, Knudsen SS, Hulman A, Witte DR, Gregg,EW, Lauritzen T, Pedersen L, Sorensen HT, Thomsen RW. Changes in type 2 diabetes incidence and mortality associated with introduction of HbA1c as diagnostic option: A Danish 24-year population-based study. Lancet Reg Health Eur 14, 100291, 2022. Search in Google Scholar

Ling C, Ronn T. Epigenetics in human obesity and type 2 diabetes. Cell Metab 29, 1028–1044, 2019. Search in Google Scholar

Ling C. Epigenetic regulation of insulin action and secretion–role in the pathogenesis of type 2 diabetes. J Int Med 288, 158–167, 2020. Search in Google Scholar

Lovic D, Piperidou A, Zografou I, Grassos H, Pittaras A, Manolis A. The growing epidemic of diabetes mellitus. Curr Vasc Pharmacol 18, 104–109, 2020. Search in Google Scholar

Maier S, Olek A. Diabetes: a candidate disease for efficient DNA methylation profiling. J Nutr 132, 2440S–2443S, 2002. Search in Google Scholar

Mekala KC, Bertoni AG. Chapter 4 - Epidemiology of diabetes mellitus. In: Transplantation, Bioengineering, and Regeneration of the Endocrine Pancreas (Eds. Orlando G, Piemonti L, Ricordi C, Stratta RJ, Gruessner RWG), Academic Press, pp. 49–58, 2020. Search in Google Scholar

Muhammad LJ, Algehyne EA, Usman SS. Predictive supervised machine learning models for diabetes mellitus. SN Comput Sci 1, 240, 2020. Search in Google Scholar

Mutize T. DNA methylation: a risk factor for type 2 diabetes mellitus (Doctoral dissertation, Cape Peninsula University of Technology), 2016. Search in Google Scholar

Mutize T, Mkandla Z, Nkambule BB. Global and gene-specific DNA methylation in adult type 2 diabetic individuals: a protocol for a systematic review. Sys Rev 7, 46, 2018. Search in Google Scholar

Sabahelkhier MK, Awadllah MA, Idrees ASM, Rahheem AAGA. A study of lipid profile levels of type II diabetes mellitus. Nova J Med Biol Sci 5, 1–9, 2016. Search in Google Scholar

Saran R, Robinson B, Abbott KC, Agodoa LYC, Bragg-Gresham J, Balkrishnan R et al. US Renal Data System 2018 Annual Data Report: Epidemiology of kidney disease in the United States. Am J Kidney Dis 73, A7–A8, 2019. Search in Google Scholar

Sarkar P, Chatterjee D, Bandyopadhyay AR. Association of CAPN10, FTO, PPAR, MTHFR gene polymorphisms and obesity with type 2 diabetes mellitus: A study on the Bengalee Hindu caste population of West Bengal, India. In: Endocrine Abstracts 70, EP221, 2020. Search in Google Scholar

Smail HO. The epigenetics of diabetes, obesity, overweight and cardiovascular disease. AIMS Genet 6, 36–45, 2019. Search in Google Scholar

Smail HO, Mohamad DA. Identification DNA methylation change of ABCC8 gene in type 2 diabetes mellitus as predictive biomarkers. ARO-The Scientific Journal of Koya University 10, 63–67, 2022. Search in Google Scholar

Song Y, Niu T, Manson JE, Kwiatkowski DJ, Liu, S. Are variants in the CAPN10 gene related to risk of type 2 diabetes? A quantitative assessment of population and family-based association studies. Am J Hum Genet 74, 208–222, 2004. Search in Google Scholar

Sun P, Liu L, Chen J, Chen Y, Shi L, Imam MU, Chen Y, Pei X, Xu Y, Guo Y, Ping Z, Fu X. The polymorphism of rs266729 in adiponectin gene and type 2 diabetes mellitus: a meta-analysis. Medicine (Baltimore) 96, e8745, 2017. Search in Google Scholar

Thornton‐Swan TD, Armitage LC, Curtis AM, Farmer AJ. Assessment of glycaemic status in adult hospital patients for the detection of undiagnosed diabetes mellitus: A systematic review. Diabet Med 39, e14777, 2022. Search in Google Scholar

Toperoff G, Aran D, Kark JD, Rosenberg M, Dubnikov T, Nissan B, Wainstein J, Friedlander Y, Levy-Lahad E, Glaser B, Hellman A. Genome-wide survey reveals predisposing diabetes type 2-related DNA methylation variations in human peripheral blood. Hum Mol Genet 21, 371–383, 2012. Search in Google Scholar

Tursinawati Y, Hakim RF, Rohmani A, Kartikadewi A, Sandra F. CAPN10 SNP-19 is associated with susceptibility of type 2 diabetes mellitus: A Javanese case-control study. Indones Biomed J 12, 109–114, 2020. Search in Google Scholar

Willmer T, Johnson R, Louw J, Pheiffer C. Blood-based DNA methylation biomarkers for type 2 diabetes: potential for clinical applications. Front Endocrinol 9, 744, 2018. Search in Google Scholar

Zhang L, Wang Y, Niu M, Wang C, Wang Z. Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: The Henan Rural Cohort Study. Sci Rep 10, 4406, 2020. Search in Google Scholar

eISSN:
1336-0329
Sprache:
Englisch