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Virginia DM, Patramurti C, Fenty, Setiawan CH, Julianus J, Hendra P, Susanto NAP. Single Nucleotide Polymorphism in the 3' Untranslated Region of PRKAA2 on Cardiometabolic Parameters in Type 2 Diabetes Mellitus Patients Who Received Metformin. Ther Clin Risk Manag 2022; 18:349-357. [PMID: 35414746 PMCID: PMC8995000 DOI: 10.2147/tcrm.s349900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/14/2022] [Indexed: 11/29/2022] Open
Abstract
Purpose This study aimed to explore the association of rs857148 A>C as 3'UTR variants with blood pressure, HbA1c profile, and lipid profiles as cardiometabolic parameters among patients with T2DM receiving metformin. Patients and Methods This cross-sectional analytic research was conducted with 114 consecutively selected patients with T2DM. Polymerase chain reaction-restriction fragment length polymorphism was conducted to determine rs857148. A total of 108 patients fulfilled inclusion and exclusion criteria. Results Genotype distribution agreed with the Hardy Weinberg Equation for Equilibrium (p>0.05) but wildtype allele was found as the minor allele. Subjects with CC genotype and C allele had enhanced HbA1c levels (OR=7.12; 95% CI=1.05-48.26; p=0.04; OR=1.66; 95% CI=1.06-2.60; p=0.03, respectively). It was confirmed by dominant model whereas subjects with AA tended to have reduced HbA1c compared to AC+CC genotype (OR=0.15; 95% CI=0.02-0.97; p=0.047). AC genotype had significant correlation to total cholesterol (OR=1.05; 95% CI=1.01-1.10; p=0.03) compared to AA genotype. Conclusion We conclude that polymorphism of rs87148, specifically CC genotype and C allele, has a significant association with HbA1c and total cholesterol after considering oral hypoglycemia agent dose, age, gender, and combination therapy, compared to AA genotype. Future studies that involve a larger sample population and more rigorous selection criteria are required.
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Affiliation(s)
- Dita Maria Virginia
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Sanata Dharma University, Yogyakarta, Indonesia
| | - Christine Patramurti
- Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Sanata Dharma University, Yogyakarta, Indonesia
| | - Fenty
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Sanata Dharma University, Yogyakarta, Indonesia
- Bethesda Lempuyangwangi Hospital, Yogyakarta, Indonesia
| | - Christianus Heru Setiawan
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Sanata Dharma University, Yogyakarta, Indonesia
| | - Jeffry Julianus
- Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Sanata Dharma University, Yogyakarta, Indonesia
| | - Phebe Hendra
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Sanata Dharma University, Yogyakarta, Indonesia
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Poly TN, Islam MM, Li YC(J, Lin MC, Hsu MH, Wang YC. Metformin Use Is Associated with Decreased Mortality in COVID-19 Patients with Diabetes: Evidence from Retrospective Studies and Biological Mechanism. J Clin Med 2021; 10:3507. [PMID: 34441802 PMCID: PMC8397144 DOI: 10.3390/jcm10163507] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/30/2021] [Accepted: 08/06/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND AND AIMS The coronavirus disease 2019 (COVID-19) increases hyperinflammatory state, leading to acute lung damage, hyperglycemia, vascular endothelial damage, and a higher mortality rate. Metformin is a first-line treatment for type 2 diabetes and is known to have anti-inflammatory and immunosuppressive effects. Previous studies have shown that metformin use is associated with decreased risk of mortality among patients with COVID-19; however, the results are still inconclusive. This study investigated the association between metformin and the risk of mortality among diabetes patients with COVID-19. METHODS Data were collected from online databases such as PubMed, EMBASE, Scopus, and Web of Science, and reference from the most relevant articles. The search and collection of relevant articles was carried out between 1 February 2020, and 20 June 2021. Two independent reviewers extracted information from selected studies. The random-effects model was used to estimate risk ratios (RRs), with a 95% confidence interval. RESULTS A total of 16 studies met all inclusion criteria. Diabetes patients given metformin had a significantly reduced risk of mortality (RR, 0.65; 95% CI: 0.54-0.80, p < 0.001, heterogeneity I2 = 75.88, Q = 62.20, and τ2 = 0.06, p < 0.001) compared with those who were not given metformin. Subgroup analyses showed that the beneficial effect of metformin was higher in the patients from North America (RR, 0.43; 95% CI: 0.26-0.72, p = 0.001, heterogeneity I2 = 85.57, Q = 34.65, τ2 = 0.31) than in patients from Europe (RR, 0.67; 95% CI: 0.47-0.94, p = 0.02, heterogeneity I2 = 82.69, Q = 23.11, τ2 = 0.10) and Asia (RR, 0.90; 95% CI: 0.43-1.86, p = 0.78, heterogeneity I2 = 64.12, Q = 11.15, τ2 = 0.40). CONCLUSIONS This meta-analysis shows evidence that supports the theory that the use of metformin is associated with a decreased risk of mortality among diabetes patients with COVID-19. Randomized control trials with a higher number of participants are warranted to assess the effectiveness of metformin for reducing the mortality of COVID-19 patients.
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Affiliation(s)
- Tahmina Nasrin Poly
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan; (T.N.P.); (M.M.I.); (Y.-C.L.); (M.-C.L.)
- International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei 110301, Taiwan
- Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei 110301, Taiwan
| | - Md. Mohaimenul Islam
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan; (T.N.P.); (M.M.I.); (Y.-C.L.); (M.-C.L.)
- International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei 110301, Taiwan
- Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei 110301, Taiwan
| | - Yu-Chuan (Jack) Li
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan; (T.N.P.); (M.M.I.); (Y.-C.L.); (M.-C.L.)
- International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei 110301, Taiwan
- Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei 110301, Taiwan
- Department of Dermatology, Wan Fang Hospital, Taipei 116081, Taiwan
- TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei 110301, Taiwan
| | - Ming-Chin Lin
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan; (T.N.P.); (M.M.I.); (Y.-C.L.); (M.-C.L.)
- Department of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, Taipei 110301, Taiwan
- Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University, Taipei 110301, Taiwan
| | - Min-Huei Hsu
- Graduate Institute of Data Science, Taipei Medical University, Taipei 110301, Taiwan;
| | - Yao-Chin Wang
- Department of Emergency, Min-Sheng General Hospital, Taoyuan 33044, Taiwan
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan
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