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Zhao J, Xu P, Liu X, Ji X, Li M, Dev S, Qu X, Lu W, Niu B. Application of machine learning methods for the development of antidiabetic drugs. Curr Pharm Des 2021; 28:260-271. [PMID: 34161205 DOI: 10.2174/1381612827666210622104428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 05/10/2021] [Indexed: 11/22/2022]
Abstract
Diabetes is a chronic non-communicable disease caused by several different routes, which has attracted increasing attention. In order to speed up the development of new selective drugs, machine learning (ML) technology has been applied in the process of diabetes drug development, which opens up a new blueprint for drug design. This review provides a comprehensive portrayal of the application of ML in antidiabetic drug use.
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Affiliation(s)
- Juanjuan Zhao
- Department of Chemistry, College of Sciences, Shanghai University, 200444, China
| | - Pengcheng Xu
- Materials Genome Institute, Shanghai University, Shanghai 200444, China
| | - Xiujuan Liu
- Department of Chemistry, College of Sciences, Shanghai University, 200444, China
| | - Xiaobo Ji
- Department of Chemistry, College of Sciences, Shanghai University, 200444, China
| | - Minjie Li
- Department of Chemistry, College of Sciences, Shanghai University, 200444, China
| | - Sooranna Dev
- Department of Obstetrics and Gynaecology, Imperial College London, Fulham Road, London SW10 9 NH, United Kingdom
| | - Xiaosheng Qu
- National Engineering Laboratory of Southwest Endangered Medicinal Resources Development, Guangxi Botanical Garden of Medicinal Plants, No. 189, Changgang Road, 530023, Nanning, China
| | - Wencong Lu
- Department of Chemistry, College of Sciences, Shanghai University, 200444, China
| | - Bing Niu
- School of Life Sciences, Shanghai University, 200444, China
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Van Gaal L, Hermans MP, Daci E, Denhaerynck K, De Meester L, MacDonald K, Abraham I, Vancayzeele S, Maris M. Effectiveness and Tolerability of Vildagliptin and the Single Pill Combination of Vildagliptin and Metformin in "Real-World" Management of Type 2 Diabetes Mellitus: The G-FORCE Study. Diabetes Ther 2019; 10:965-979. [PMID: 30919316 PMCID: PMC6531546 DOI: 10.1007/s13300-019-0601-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Randomized clinical trials showed that vildagliptin is well tolerated and leads to clinically meaningful decreases in glycated hemoglobin (HbA1c) and fasting plasma glucose (FPG) both in monotherapy and as add-on therapy in inadequately controlled type 2 diabetes mellitus (T2DM) patients. Nevertheless, there is an increased interest for real-life studies to confirm the clinical trial findings in the setting of a daily clinical practice. The aim of this study was to evaluate the effectiveness and tolerability of vildagliptin in a real-life clinical setting and to explore factors determining drug adherence and T2DM management. METHODS G-FORCE was a prospective, observational, open-label, multi-center study in which T2DM patients were prescribed de novo vildagliptin. Clinical effectiveness was determined by changes in HbA1c and FPG and by the proportion of patients reaching glycemic goal. Data were collected at baseline, after 105 ± 15 days and after 180 ± 15 days. RESULTS A total of 1230 patients were included in this analysis. Mean age was 63.9 ± 10.8 years, and mean HbA1c and FPG levels were 8.2 ± 1.3% and 171.0 ± 53.3 mg/dL, respectively. At 180 days of treatment, HbA1c and FPG levels decreased to 7.2 ± 1.0% and 141.1 ± 44.0 mg/dL, respectively, while the proportion of patients reaching HbA1c and FPG goals rose from 8.6 to 44.6% and from 14.2 to 42.8%, respectively. CONCLUSION In this real-world study, vildagliptin was an effective and safe treatment for T2DM patients already treated with metformin, while the single pill combination of vildagliptin and metformin provides a convenient alternative while ensuring comparable effectiveness and tolerability. FUNDING Novartis Pharma.
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Affiliation(s)
- Luc Van Gaal
- Department of Endocrino-Diabetology, Antwerp University Hospital, Wilrijkstraat 10, 2650, Edegem, Belgium
| | - Michel P Hermans
- Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Woluwe-Saint-Lambert, Belgium
| | - Evis Daci
- Novartis Pharma nv-sa, Medialaan 40, 1800, Vilvoorde, Belgium
| | | | - Lut De Meester
- Novartis Pharma nv-sa, Medialaan 40, 1800, Vilvoorde, Belgium
| | | | - Ivo Abraham
- Matrix45, 6159 W Sunset Rd, Tucson, AZ, 85743, USA
- Center for Health Outcomes and Pharmaco-Economic Research, University of Arizona, 1295 N Martin, Tucson, AZ, 85721, USA
- Department of Pharmacy Practice and Science, University of Arizona, 1295 N Martin, Tucson, AZ, 85721, USA
- Department of Family and Community Medicine, University of Arizona, 655 N Alvernon, Suite 228, Tucson, AZ, 85711, USA
| | | | - Michael Maris
- Novartis Pharma nv-sa, Medialaan 40, 1800, Vilvoorde, Belgium.
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