Evaluation of the suitability of 19 pharmacogenomics biomarkers for individualized metformin therapy for type 2 diabetes patients

Author:

Xhakaza Lettilia1,Abrahams-October Zainonesa1,Pearce Brendon1,Masilela Charity Mandisa1,Adeniyi Oladele Vincent2,Johnson Rabia34,Ongole Joven Jebio5,Benjeddou Mongi1

Affiliation:

1. Precision Medicine Unit, Department of Biotechnology, Faculty of Natural Sciences , University of the Western Cape , Bellville , South Africa

2. Department of Family Medicine , Walter Sisulu University , East London , South Africa

3. South African Medical Research Council , Parow , Cape Town , South Africa

4. Division of Medical Physiology, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa

5. Department of Family Medicine , Center for Teaching and Learning, Piet Retief Hospital , Mkhondo , Mpumalanga , South Africa

Abstract

Abstract Objectives Type 2 Diabetes mellitus is a progressive metabolic disease characterized by relative insulin insufficiency and insulin resistance resulting in hyperglycemia. Despite the widespread use of metformin, there is considerable variation in treatment response; with approximately one-third of patients failing to achieve adequate glycemic control. Studies have reported the involvement of single nucleotide polymorphisms and their interactions in genetic pathways i.e., pharmacodynamics and pharmacokinetics. This study aims to investigate the association between 19 pharmacogenetics biomarkers and response to metformin treatment. Methods MassARRAY panels were designed and optimized by Inqaba Biotechnical Industries, to genotype 19 biomarkers for 140 type 2 diabetic outpatients. Results The CT genotype of the rs12752688 polymorphism was significantly associated with increased response to metformin therapy after correction (OR=0.33, 95% CI [0.16–0.68], p-value=0.006). An association was also found between the GA genotype of SLC47A2 rs12943590 and a decreased response to metformin therapy after correction (OR=2.29, 95% CI [1.01–5.21], p-value=0.01). Conclusions This is the first study investigating the association between genetic variants and responsiveness to medication for diabetic patients from the indigenous Nguni population in South Africa. It is suggested that rs12752688 and rs12943590 be included in pharmacogenomics profiling systems to individualize metformin therapy for diabetic patients from African populations.

Publisher

Walter de Gruyter GmbH

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics

Reference74 articles.

1. Pheiffer, C, Pillay-van Wyk, V, Joubert, JD, Levitt, N, Nglazi, MD, Bradshaw, D. The prevalence of type 2 diabetes in South Africa: a systematic review protocol. BMJ Open 2018;8:e021029.

2. World Health Organization. World health statistics 2018: monitoring health for the SDGs, sustainable development goals; 2018. Available from: https://www.who.int/gho/publications/world_health_statistics/2018/en/).

3. Ogurtsova, K, da Rocha Fernandes, JD, Huang, Y, Linnenkamp, U, Guariguata, L, Cho, NH, et al. IDF Diabetes Atlas: global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract 2017;128:40–50. https://doi.org/10.1016/j.diabres.2018.02.023.

4. International Diabetes Federation. IDF diabetes Atlas 9th ed. 2019. Available from: https://www.idf.org/our-network/regions-members/africa/welcome.html [Accessed 25 Nov 2019].

5. White, MF. Insulin signaling in health and disease. Science 2003;302:1710–1. https://doi.org/10.1126/science.1092952.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3