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Kimura Y, Jo T, Inoue N, Suzukawa M, Hashimoto Y, Kumazawa R, Ishimaru M, Matsui H, Yokoyama A, Tanaka G, Sasabuchi Y, Yasunaga H. Association of Novel Antihyperglycemic Drugs Versus Metformin With a Decrease in Asthma Exacerbations. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2024:S2213-2198(24)00467-7. [PMID: 38734374 DOI: 10.1016/j.jaip.2024.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 04/10/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Similar to metformin, dipeptidyl peptidase-4 inhibitors (DPP-4 Is), glucagon-like peptidase 1 receptor agonists (GLP-1 RAs), and sodium glucose co-transporter-2 inhibitors (SGLT-2 Is) may improve control of asthma owing to their multiple potential mechanisms, including differential improvements in glycemic control, direct anti-inflammatory effects, and systemic changes in metabolism. OBJECTIVE To investigate whether these novel antihyperglycemic drugs were associated with fewer asthma exacerbations compared with metformin in patients with asthma comorbid with type 2 diabetes. METHODS Using a Japanese national administrative database, we constructed 3 active comparators-new user cohorts of 137,173 patients with a history of asthma starting the novel antihyperglycemic drugs and metformin between 2014 and 2022. Patient characteristics were balanced using overlap propensity score weighting. The primary outcome was the first exacerbation requiring systemic corticosteroids, and the secondary outcomes included the number of exacerbations requiring systemic corticosteroids. RESULTS DPP-4 Is and GLP-1 RAs were associated with a higher incidence of exacerbations requiring systemic corticosteroids compared with metformin (DPP-4 Is: 18.2 vs 17.4 per 100 person-years, hazard ratio: 1.09, 95% confidence interval [CI]: 1.05-1.14; GLP-1 RAs: 24.9 vs 19.0 per 100 person-years, hazard ratio: 1.14, 95% CI: 1.01-1.28). In contrast, the incidence of exacerbations requiring systemic corticosteroids was similar between the SGLT-2 Is and metformin groups (17.3 vs 18.1 per 100 person-years, hazard ratio: 1.00, 95% CI: 0.97-1.03). While DPP-4 Is and GLP-1 RAs were associated with more exacerbations requiring systemic corticosteroids, SGLT-2 Is were associated with slightly fewer exacerbations requiring systemic corticosteroids (53.7 vs 56.6 per 100 person-years, rate ratio: 0.95, 95% CI: 0.91-0.99). CONCLUSIONS While DPP-4 Is and GLP-1 RAs were associated with poorer control of asthma compared with metformin, SGLT-2 Is offered asthma control comparable to that of metformin.
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Affiliation(s)
- Yuya Kimura
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan; Clinical Research Center, National Hospital Organization Tokyo Hospital, Tokyo, Japan.
| | - Taisuke Jo
- Department of Health Services Research, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan; Department of Respiratory Medicine, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Norihiko Inoue
- Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School, Tokyo, Japan; Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo, Japan
| | - Maho Suzukawa
- Clinical Research Center, National Hospital Organization Tokyo Hospital, Tokyo, Japan
| | - Yohei Hashimoto
- Save Sight Institute, the University of Sydney, Sydney, NSW, Australia
| | - Ryosuke Kumazawa
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan
| | - Miho Ishimaru
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan; Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan
| | - Akira Yokoyama
- Department of Respiratory Medicine, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Goh Tanaka
- Department of Respiratory Medicine, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Yusuke Sasabuchi
- Department of Real-world Evidence, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan
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Hu L, Luo M, Huang H, Wu L, Ouyang W, Tong J, Le Y. Perioperative probiotics attenuates postoperative cognitive dysfunction in elderly patients undergoing hip or knee arthroplasty: A randomized, double-blind, and placebo-controlled trial. Front Aging Neurosci 2023; 14:1037904. [PMID: 36688164 PMCID: PMC9849892 DOI: 10.3389/fnagi.2022.1037904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/24/2022] [Indexed: 01/07/2023] Open
Abstract
Background Postoperative cognitive dysfunction (POCD) is a common complication in elderly patients following surgery. The preventive and/or treatment strategies for the incidence remain limited. Objective This study aimed to investigate the preventive effect of perioperative probiotic treatment on POCD in elderly patients undergoing hip or knee arthroplasty. Methods After obtaining ethical approval and written informed consent, 106 patients (age ≥60 years) were recruited, who scheduled elective hip or knee arthroplasty, from 16 March 2021 to 25 February 2022 for this randomized, double-blind, and placebo-controlled trial. They were randomly assigned with a 1:1 ratio to receive either probiotics or placebo treatment (four capsules, twice/day) from hospital admission until discharge. Cognitive function was assessed with a battery of 11 neuropsychological tests on the admission day and the seventh day after surgery, respectively. Results A total of 96 of 106 patients completed the study, and their data were finally analyzed. POCD occurred in 12 (26.7%) of 45 patients in the probiotic group and 29 (56.9%) of 51 patients in the placebo group (relative risk [RR], 0.47 [95% confidence interval [CI], 0.27 to 0.81]; P = 0.003). Among them, mild POCD occurred in 11 (24.4%) in the probiotic group and 24 (47.1%) in the placebo group (RR, 0.52 [95% CI, 0.29 to 0.94]; P = 0.022). No significant difference in severe POCD incidence was found between the two groups (P = 0.209). Compared with the placebo group, the verbal memory domain cognitive function was mainly improved in the probiotic group. Conclusion Probiotics may be used perioperatively to prevent POCD development and improve verbal memory performance in elderly patients receiving hip or knee arthroplasty. Clinical trial registration www.chictr.org.cn, identifier: ChiCTR2100045620.
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Affiliation(s)
- Lin Hu
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, Changsha, China,Hunan Province Key Laboratory of Brain Homeostasis, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Manli Luo
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, Changsha, China,Hunan Province Key Laboratory of Brain Homeostasis, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Huifan Huang
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, Changsha, China,Hunan Province Key Laboratory of Brain Homeostasis, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Lanping Wu
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, Changsha, China,Hunan Province Key Laboratory of Brain Homeostasis, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Wen Ouyang
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, Changsha, China,Hunan Province Key Laboratory of Brain Homeostasis, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jianbin Tong
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, Changsha, China,Hunan Province Key Laboratory of Brain Homeostasis, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Le
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, Changsha, China,Hunan Province Key Laboratory of Brain Homeostasis, The Third Xiangya Hospital, Central South University, Changsha, China,*Correspondence: Yuan Le
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Terauchi Y, Usami M, Inoue T. The Durable Safety and Effectiveness of Lixisenatide in Japanese People with Type 2 Diabetes: The Post-Marketing Surveillance PRANDIAL Study. Adv Ther 2022; 39:2873-2888. [PMID: 35449321 PMCID: PMC9122860 DOI: 10.1007/s12325-022-02121-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 03/09/2022] [Indexed: 11/30/2022]
Abstract
Introduction Real-world evidence on lixisenatide in Japanese people with type 2 diabetes (T2D) is lacking. Therefore, the 3-year post-marketing PRANDIAL study was conducted to evaluate the safety (primary objective) and effectiveness (secondary objective) of lixisenatide in Japanese people with T2D during routine clinical practice. Methods This prospective, observational, multicenter, open-label study was conducted in Japanese individuals with T2D who initiated lixisenatide treatment between March 2014 and June 2017. Using electronic case report forms, investigators collected baseline demographic and clinical information and data on medications, safety and effectiveness up to 3 years after initiation of lixisenatide. Results Overall, 3046 participants were analyzed; their mean ± standard deviation (SD) age was 58.9 ± 13.1 years, and 53.7% were male. Mean ± SD duration of T2D was 12.8 ± 8.6 years, and baseline glycated hemoglobin (HbA1c) was 8.7% ± 1.7%. Most participants (93.9%) were receiving concomitant antidiabetic medications when they initiated lixisenatide. Median (range) lixisenatide treatment duration was 382 (1–1096) days. Adverse drug reactions (ADRs) were reported in 604 participants (19.8%) and serious ADRs in 22 (0.7%). The most common ADR was nausea (9.0%). Of ADRs of special interest, hypoglycemia occurred in 2.9% of participants, injection site reactions in 0.9%, and hypoglycemic unconsciousness in 0.03%. Baseline characteristics associated with an increased risk of ADRs (p < 0.05) were history of treatment for cardiovascular disease, hepatic dysfunction, and other complications. Effectiveness was analyzed in 2675 participants; HbA1c, fasting plasma glucose, postprandial glucose, and body weight all decreased significantly at last observation (all p < 0.0001 vs. baseline). Conclusions Lixisenatide was well tolerated, with no unexpected ADRs or new safety signals identified, and showed effective glycemic control and weight reduction up to 3 years, supporting the use of lixisenatide as a safe and effective treatment option for T2D in routine clinical practice in Japan. Supplementary Information The online version contains supplementary material available at 10.1007/s12325-022-02121-5. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are antidiabetic drugs that lower blood glucose levels by stimulating the release of insulin and suppressing glucagon, the key hormones involved in controlling blood glucose levels in the body. The selective GLP-1RA lixisenatide was approved for the management of adults with type 2 diabetes (T2D) in Japan based on data from randomized clinical trials. However, these studies may not be representative of the safety and effectiveness of the drug when used in routine clinical practice. Therefore, we conducted the 3-year post-marketing PRANDIAL study to assess the safety and effectiveness of lixisenatide in 3046 Japanese individuals with T2D who started the drug between March 2014 and June 2017. Adverse drug reactions (adverse events for which lixisenatide causality could not be excluded) occurred in 19.8% of participants, with the most common adverse drug reaction being nausea. Hypoglycemia (abnormally low blood glucose levels) was reported in 2.9%. Individuals with a history of treatment for cardiovascular disease, hepatic dysfunction, and other complications had an increased risk of adverse drug reactions. Lixisenatide provided significant improvements in blood glucose control, with significant decreases in glycated hemoglobin (a marker of blood glucose control), fasting plasma glucose, and postprandial glucose levels from baseline, as well as significant reductions in body weight. In this real-world post-marketing surveillance study, lixisenatide was well tolerated, raising no new safety concerns, and provided durable effective blood glucose control and weight reduction. These results support the use of lixisenatide in Japanese individuals with T2D in routine clinical practice.
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Affiliation(s)
- Yasuo Terauchi
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Makiko Usami
- Post-Authorization Regulatory Studies, Sanofi K.K., Opera City Tower, 3-20-2 Nishi-Shinjuku, Shinjuku-ku, Tokyo, 163-1488, Japan.
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Kaneto H, Baxter M, Takahashi Y, Terauchi Y. Simultaneous Versus Sequential Initiation of Lixisenatide and Basal Insulin for Type 2 Diabetes: Subgroup Analysis of a Japanese Post-Marketing Surveillance Study of Lixisenatide (PRANDIAL). Adv Ther 2022; 39:5453-5473. [PMID: 36207508 PMCID: PMC9618543 DOI: 10.1007/s12325-022-02311-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/25/2022] [Indexed: 01/30/2023]
Abstract
INTRODUCTION We aimed to assess the efficacy and safety of lixisenatide and basal insulin (BI) according to timing of treatment initiation, treatment compliance, and number of concomitant daily injections in Japanese individuals with type 2 diabetes (T2D). METHODS Each substudy analyzed subgroup data from the 3-year post-marketing surveillance PRANDIAL study. Endpoints included glycated hemoglobin (HbA1c), postprandial glucose, treatment response (HbA1c < 7.0% at week 24 and 156), and safety. Changes in HbA1c levels were analyzed using paired t tests; between-group comparisons were made using analysis of variance (ANOVA). RESULTS Of 2679 participants, 46.5% initiated BI before lixisenatide, 12.0% the same day, 2.7% between 1 and 90 days, and 2.8% at 91 or more days after lixisenatide; 36.0% did not receive BI. Overall, 85.4% of patients were compliant with lixisenatide treatment. The majority of patients (52.4%) received two injections/day (one was lixisenatide). Compared with other subgroups taking BI and lixisenatide, the subgroup starting them simultaneously had a mean change in HbA1c of - 0.69% [8 mmol/mol] (vs + 0.07% [0.8 mmol/mol] to - 0.79% [9 mmol/mol]) and numerically higher treatment response (21.0% vs 8.3-18.7%), but more hypoglycemia (8.1% vs 2.3-2.8%). CONCLUSIONS Japanese people with T2D achieved better glycemic control by simultaneous as opposed to sequential initiation of lixisenatide and BI.
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Affiliation(s)
| | - Mike Baxter
- Medical Affairs, Sanofi, Reading, UK
- Swansea University, Swansea, Wales, UK
| | - Yoko Takahashi
- Sanofi K.K. General Medicine Medical Department, Tokyo, Japan.
| | - Yasuo Terauchi
- Department of Endocrinology and Metabolism, Yokohama City University, Yokohama, Japan
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Ando Y, Shigiyama F, Hirose T, Kumashiro N. Simplification of complex insulin regimens using canagliflozin or liraglutide in patients with well-controlled type 2 diabetes: A 24-week randomized controlled trial. J Diabetes Investig 2021; 12:1816-1826. [PMID: 33650779 PMCID: PMC8504902 DOI: 10.1111/jdi.13533] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/15/2021] [Accepted: 02/23/2021] [Indexed: 12/12/2022] Open
Abstract
AIMS/INTRODUCTION We investigated the potential use of canagliflozin, in comparison with liraglutide, as an alternative to bolus insulin in patients with well-controlled type 2 diabetes mellitus receiving multiple daily insulin injection therapy. MATERIALS AND METHODS In 40 patients, with glycated hemoglobin (HbA1c) levels <7.5% controlled by multiple daily insulin injection therapy, all bolus insulin was randomly switched to canagliflozin (100 mg/day) or liraglutide (0.3-0.9 mg/day) for 24 weeks. Basal insulin was continued with dose adjustment according to a predefined algorithm. The end-points were the change in the HbA1c level, glycemic variability assessed by continuous glucose monitoring, body mass index, insulin dose, quality of life (QOL) and safety assessments. Factors influencing the changes in QOL were also assessed using a simple regression analysis. RESULTS The change in HbA1c from baseline was comparable between the treatments. Both treatments maintained the HbA1c level to the baseline levels with stable glucose variability and no severe hypoglycemia for 24 weeks, decreased total insulin dose, and significantly increased the QOL score. The change in QOL was significantly associated with injection frequency. CONCLUSIONS For patients with well-controlled type 2 diabetes mellitus, under the support of basal insulin, complex insulin regimens can be simplified by replacing all bolus insulin with once-daily canagliflozin or liraglutide, which improves patients' QOL.
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Affiliation(s)
- Yasuyo Ando
- Division of Diabetes, Metabolism, and EndocrinologyDepartment of MedicineToho University Graduate School of MedicineTokyoJapan
| | - Fumika Shigiyama
- Division of Diabetes, Metabolism, and EndocrinologyDepartment of MedicineToho University Graduate School of MedicineTokyoJapan
| | - Takahisa Hirose
- Division of Diabetes, Metabolism, and EndocrinologyDepartment of MedicineToho University Graduate School of MedicineTokyoJapan
| | - Naoki Kumashiro
- Division of Diabetes, Metabolism, and EndocrinologyDepartment of MedicineToho University Graduate School of MedicineTokyoJapan
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Liu F, Liu Y, Liu M, Wu G, Zhang M, Zhang X, Cui N, Yin H, Chen L. Efficacy of once-daily glucagon-like peptide-1 receptor agonist lixisenatide as an add-on treatment to basal insulin in Asian and white adults with type 2 diabetes mellitus: An individual-level pooled analysis of phase III studies. J Diabetes Investig 2021; 12:1386-1394. [PMID: 33475222 PMCID: PMC8354505 DOI: 10.1111/jdi.13504] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/11/2020] [Accepted: 01/01/2021] [Indexed: 11/29/2022] Open
Abstract
AIMS/INTRODUCTION The prevalence and pathophysiological background of type 2 diabetes mellitus vary across ethnicities, and can affect treatment responses. Adding lixisenatide to basal insulin (BI) in type 2 diabetes mellitus patients has shown improvements in glycated hemoglobin (HbA1c) and postprandial glycemic (PPG) excursions, without increasing hypoglycemic events. We aim to compare the efficacy of lixisenatide in Asian and white patients inadequately controlled with basal insulin. MATERIALS AND METHODS An individual-level pooled analysis of two multi-national phase III studies, GetGoal-L and GetGoal-L-C, was carried out to assess the efficacy of lixisenatide versus placebo as an add-on treatment to BI ± metformin in Asian and white patients with type 2 diabetes mellitus. Change in HbA1c, 2-h PPG and PPG excursion were analyzed, along with possible predictors of glycemic control. RESULTS Pooled data showed that baseline characteristics were similar between Asian and white patients with the exception of bodyweight, body mass index and BI dose being higher in white patients. After 24 weeks, lixisenatide reduced HbA1c in both ethnic groups, with no statistically significant difference between the two groups (Asian patients least squares mean difference -0.49, 95% confidence interval -0.68 to - 0.30 and white patients least squares mean difference -0.45, 95% confidence interval -0.63 to - 0.26; P = 0.6287). Similarly, no significant difference was found in 2-h PPG reduction between both groups (least squares mean difference for Asian vs white patients: -3.37 vs -3.93; P = 0.3203). Treatment with lixisenatide contributed to HbA1c reduction of -0.56% after adjustment of baseline HbA1c level in Asian patients, and -0.41% in white patients. CONCLUSIONS Adding lixisenatide to BI significantly reduced HbA1c and 2-h PPG levels in both Asian and white participants with type 2 diabetes mellitus. No differences in treatment effect were observed between the two populations.
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Affiliation(s)
- Fuqiang Liu
- Department of EndocrinologyQilu Hospital of Shandong UniversityJinanChina
| | - Yuan Liu
- Department of EndocrinologyQilu Hospital of Shandong UniversityJinanChina
| | - Minzhi Liu
- BDM Consulting, Inc.SomersetNew JerseyUSA
| | - Guangyu Wu
- Sanofi Investment Co., Ltd.ShanghaiChina
| | | | - Xia Zhang
- Sanofi Investment Co., Ltd.ShanghaiChina
| | - Nan Cui
- Sanofi Investment Co., Ltd.ShanghaiChina
| | - Huiqiu Yin
- Sanofi Investment Co., Ltd.ShanghaiChina
| | - Li Chen
- Department of EndocrinologyQilu Hospital of Shandong UniversityJinanChina
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Terauchi Y, Yabe D, Kaneto H, Amano A, Baxter M, Watanabe D, Watada H, Inagaki N. Benefits of the fixed-ratio combination of insulin glargine 100 units/mL and lixisenatide (iGlarLixi) in Japanese people with type 2 diabetes: A subgroup and time-to-control analysis of the LixiLan JP phase 3 trials. Diabetes Obes Metab 2020; 22 Suppl 4:35-47. [PMID: 33404200 DOI: 10.1111/dom.14139] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/30/2020] [Accepted: 07/04/2020] [Indexed: 12/11/2022]
Abstract
AIMS To explore the impact of baseline characteristics on clinical outcomes in the phase 3 LixiLan JP trials which evaluated the efficacy and safety of iGlarLixi, a titratable fixed-ratio combination of insulin glargine 100 units/mL (iGlar) and GLP-1 RA lixisenatide (Lixi), vs Lixi (JP-O1, NCT02749890) or iGlar (LixiLan JP-O2, NCT02752828; JP-L, NCT02752412) in Japanese people with type 2 diabetes uncontrolled on oral antidiabetes drugs (OADs; JP-O1, JP-O2) or OADs and basal insulin (JP-L). MATERIALS AND METHODS Glycated haemoglobin (HbA1c) change from baseline to week 26 was assessed within patient subgroups. Subgroups were defined by dipeptidyl peptidase-4 inhibitor use at screening (JP-O1, JP-O2 only), baseline HbA1c (<8%, ≥8%), baseline BMI (<25, ≥25 kg/m2) and age (<65, ≥65 years). Incidences of hypoglycaemia (baseline HbA1c, BMI and age subgroups) and gastrointestinal disorders (age subgroup) were evaluated over 52 (JP-O1) or 26 weeks (JP-O2, JP-L). Time to control (first HbA1c <7% or fasting plasma glucose [FPG] ≤130 mg/dL; JP-O2 only) was also assessed. RESULTS HbA1c reductions were consistently greater with iGlarLixi vs iGlar or Lixi across all subgroups, and iGlarLixi was equally effective in all subgroups. Incidences of documented symptomatic hypoglycaemia (plasma glucose ≤3.9 mmol/L) were higher with iGlarLixi vs Lixi and generally comparable with iGlar. Across age subgroups, incidences of gastrointestinal disorders with iGlarLixi were higher vs iGlar, but lower vs Lixi. Median time to HbA1c or FPG control was shorter with iGlarLixi vs iGlar. CONCLUSIONS iGlarLixi was consistently effective across all baseline characteristic subgroups, with more patients achieving glycaemic control vs iGlar early in treatment.
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Affiliation(s)
- Yasuo Terauchi
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama City University, Yokahama, Japan
| | - Daisuke Yabe
- Department of Diabetes and Endocrinology, Gifu University Graduate School of Medicine, Gifu, Japan
- Yutaka Seino Distinguished Center for Diabetes Research, Kansai Electric Power Medical Research Institute, Osaka, Japan
- Division of Molecular and Metabolic Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hideaki Kaneto
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School, Kurashiki, Japan
| | | | - Mike Baxter
- Primary Care, Medical, Sanofi, Guildford, UK
- University of Swansea, Swansea, UK
| | | | - Hirotaka Watada
- Department of Medicine, Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Nobuya Inagaki
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Watada H, Takami A, Spranger R, Amano A, Hashimoto Y, Niemoeller E. Efficacy and Safety of 1:1 Fixed-Ratio Combination of Insulin Glargine and Lixisenatide Versus Lixisenatide in Japanese Patients With Type 2 Diabetes Inadequately Controlled on Oral Antidiabetic Drugs: The LixiLan JP-O1 Randomized Clinical Trial. Diabetes Care 2020; 43:1249-1257. [PMID: 32295808 PMCID: PMC7245357 DOI: 10.2337/dc19-2452] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 03/20/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the efficacy and safety of a 1:1 fixed-ratio combination of insulin glargine and lixisenatide (iGlarLixi) versus lixisenatide (Lixi) in insulin-naive Japanese patients with type 2 diabetes mellitus (T2DM) inadequately controlled on oral antidiabetic drugs (OADs). RESEARCH DESIGN AND METHODS In this phase 3, open-label, multicenter trial, 321 patients with HbA1c≥7.5 to ≤10.0% (58-86 mmol/mol) and fasting plasma glucose (FPG) ≤13.8 mmol/L (250 mg/dL) were randomized 1:1 to iGlarLixi or Lixi for 52 weeks. The primary end point was change in HbA1c at week 26. RESULTS Change in HbA1c from baseline to week 26 was significantly greater with iGlarLixi (-1.58% [-17.3 mmol/mol]) than with Lixi (-0.51% [-5.6 mmol/mol]), confirming the superiority of iGlarLixi (least squares [LS] mean difference -1.07% [-11.7 mmol/mol], P < 0.0001). At week 26, significantly greater proportions of patients treated with iGlarLixi reached HbA1c <7% (53 mmol/mol) (65.2% vs. 19.4%; P < 0.0001), and FPG reductions were greater with iGlarLixi than Lixi (LS mean difference -2.29 mmol/L [-41.23 mg/dL], P < 0.0001). Incidence of documented symptomatic hypoglycemia (≤3.9 mmol/L [70 mg/dL]) was higher with iGlarLixi (13.0% vs. 2.5%) through week 26, with no severe hypoglycemic events in either group. Incidence of gastrointestinal events through week 52 was lower with iGlarLixi (36.0% vs. 50.0%), and rates of treatment-emergent adverse events were similar. CONCLUSIONS This phase 3 study demonstrated superior glycemic control and fewer gastrointestinal adverse events with iGlarLixi than with Lixi, which may support it as a new treatment option for Japanese patients with T2DM that is inadequately controlled with OADs.
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Affiliation(s)
- Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Akane Takami
- Research & Development, Sanofi K.K., Tokyo, Japan
| | - Robert Spranger
- Diabetes, Cardiovascular and Metabolics Development, Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
| | | | | | - Elisabeth Niemoeller
- Diabetes, Cardiovascular and Metabolics Development, Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany
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Suzuki K, Akiyama M, Ishigaki K, Kanai M, Hosoe J, Shojima N, Hozawa A, Kadota A, Kuriki K, Naito M, Tanno K, Ishigaki Y, Hirata M, Matsuda K, Iwata N, Ikeda M, Sawada N, Yamaji T, Iwasaki M, Ikegawa S, Maeda S, Murakami Y, Wakai K, Tsugane S, Sasaki M, Yamamoto M, Okada Y, Kubo M, Kamatani Y, Horikoshi M, Yamauchi T, Kadowaki T. Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nat Genet 2019. [DOI: 10.1038/s41588-018-0332-4 order by 1-- -] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nat Genet 2019. [DOI: 10.1038/s41588-018-0332-4 order by 1-- gadu] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Suzuki K, Akiyama M, Ishigaki K, Kanai M, Hosoe J, Shojima N, Hozawa A, Kadota A, Kuriki K, Naito M, Tanno K, Ishigaki Y, Hirata M, Matsuda K, Iwata N, Ikeda M, Sawada N, Yamaji T, Iwasaki M, Ikegawa S, Maeda S, Murakami Y, Wakai K, Tsugane S, Sasaki M, Yamamoto M, Okada Y, Kubo M, Kamatani Y, Horikoshi M, Yamauchi T, Kadowaki T. Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nat Genet 2019. [DOI: 10.1038/s41588-018-0332-4 order by 8029-- #] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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12
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Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nat Genet 2019. [DOI: 10.1038/s41588-018-0332-4 order by 8029-- awyx] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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13
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Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nat Genet 2019. [DOI: 10.1038/s41588-018-0332-4 order by 1-- #] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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14
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Suzuki K, Akiyama M, Ishigaki K, Kanai M, Hosoe J, Shojima N, Hozawa A, Kadota A, Kuriki K, Naito M, Tanno K, Ishigaki Y, Hirata M, Matsuda K, Iwata N, Ikeda M, Sawada N, Yamaji T, Iwasaki M, Ikegawa S, Maeda S, Murakami Y, Wakai K, Tsugane S, Sasaki M, Yamamoto M, Okada Y, Kubo M, Kamatani Y, Horikoshi M, Yamauchi T, Kadowaki T. Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nat Genet 2019. [DOI: 10.1038/s41588-018-0332-4 order by 8029-- -] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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15
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Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nat Genet 2019. [DOI: 10.1038/s41588-018-0332-4 and 1880=1880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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16
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Suzuki K, Akiyama M, Ishigaki K, Kanai M, Hosoe J, Shojima N, Hozawa A, Kadota A, Kuriki K, Naito M, Tanno K, Ishigaki Y, Hirata M, Matsuda K, Iwata N, Ikeda M, Sawada N, Yamaji T, Iwasaki M, Ikegawa S, Maeda S, Murakami Y, Wakai K, Tsugane S, Sasaki M, Yamamoto M, Okada Y, Kubo M, Kamatani Y, Horikoshi M, Yamauchi T, Kadowaki T. Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nat Genet 2019; 51:379-386. [PMID: 30718926 DOI: 10.1038/s41588-018-0332-4] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 12/10/2018] [Indexed: 12/22/2022]
Abstract
To understand the genetics of type 2 diabetes in people of Japanese ancestry, we conducted A meta-analysis of four genome-wide association studies (GWAS; 36,614 cases and 155,150 controls of Japanese ancestry). We identified 88 type 2 diabetes-associated loci (P < 5.0 × 10-8) with 115 independent signals (P < 5.0 × 10-6), of which 28 loci with 30 signals were novel. Twenty-eight missense variants were in linkage disequilibrium (r2 > 0.6) with the lead variants. Among the 28 missense variants, three previously unreported variants had distinct minor allele frequency (MAF) spectra between people of Japanese and European ancestry (MAFJPN > 0.05 versus MAFEUR < 0.01), including missense variants in genes related to pancreatic acinar cells (GP2) and insulin secretion (GLP1R). Transethnic comparisons of the molecular pathways identified from the GWAS results highlight both ethnically shared and heterogeneous effects of a series of pathways on type 2 diabetes (for example, monogenic diabetes and beta cells).
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Affiliation(s)
- Ken Suzuki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.,Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan.,Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.,Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazuyoshi Ishigaki
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masahiro Kanai
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.,Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Jun Hosoe
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Nobuhiro Shojima
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Aya Kadota
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan.,Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Mariko Naito
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Department of Oral Epidemiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.,Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Yasushi Ishigaki
- Division of Innovation & Education, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.,Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Iwate, Japan
| | - Makoto Hirata
- Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichi Matsuda
- Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Norie Sawada
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan
| | - Shiro Maeda
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan.,Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan.,Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Nishihara, Japan
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shoichiro Tsugane
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, Japan.,Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yukinori Okada
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.,Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan.,Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Osaka, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. .,Kyoto-McGill International Collaborative School in Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Momoko Horikoshi
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan.
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. .,Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. .,Department of Metabolism and Nutrition, Mizonokuchi Hospital, Faculty of Medicine, Teikyo University, Tokyo, Japan.
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Wei ZG, Wang MC, Zhang HH, Wang ZY, Wang GN, Wei FX, Zhang YW, Xu XD, Zhang YC. PRISMA-efficacy and safety of lixisenatide for type 2 diabetes mellitus: A meta-analysis of randomized controlled trials. Medicine (Baltimore) 2018; 97:e13710. [PMID: 30572502 PMCID: PMC6320179 DOI: 10.1097/md.0000000000013710] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE We aimed to systematically evaluate the efficacy and safety of lixisenatide in patients with type 2 diabetes mellitus. METHODS PubMed, EMBASE, Cochrane Library, ClinicalTrials.gov, Google, Web of Science and the Chinese Science Citation Database were searched up to March 2018. Randomized controlled trials determining the efficacy and safety of lixisenatide in patients with type 2 diabetes mellitus were eligible for inclusion. Two authors independently extracted the data in a prespecified Microsoft Excel spreadsheet. A meta-analysis was performed using Review Manager 5.3 software. Weighted mean difference (WMD) and relative risk (RR) together with their corresponding 95% confidence intervals (CIs) were estimated, and only the random effects model was used in order to achieve a more conservative estimate of the efficacy and safety. RESULTS Fourteen multicenter randomized controlled trials involving 11,947 patients were eligible for inclusion. Compared to placebo, lixisenatide could more significantly reduce the level of HbA1c (WMD=-0.44; 95% confidence interval [CI] [-0.55,-0.33]), and a higher proportion of lixisenatide-treated patients achieved the HbA1c level of < 7.0% (RR = 1.89, 95% CI [1.75-2.03]) and < 6.5% (RR = 3.03, 95% CI [2.54-3.63]) than the placebo-treated patients. Lixisenatide was also associated with a significant reduction in fasting plasma glucose and 2-hour postprandial plasma glucose levels. The risks for any adverse events, gastrointestinal adverse events, and symptomatic hypoglycemia significantly increased in the lixisenatide-treatedment group compared to those in the placebo group. However, lixisenatideit did not increase the risks of serious adverse events, death, or severe hypoglycemia. CONCLUSIONS Lixisenatide was more effective than placebo in patients with type 2 diabetes mellitus, and the mild-to-moderate adverse events were found to be tolerated during the follow-up.
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Affiliation(s)
- Zhen-gang Wei
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
| | - Man-cai Wang
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
| | - Hui-han Zhang
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
| | - Zhe-yuan Wang
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
| | - Gen-nian Wang
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
| | - Feng-xian Wei
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
| | - Ya-wu Zhang
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
| | - Xiao-dong Xu
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
| | - You-cheng Zhang
- Department of General Surgery, Lanzhou University Second Hospital
- Hepatobiliary and pancreatic surgery laboratory, Lanzhou University Second Hospital
- Gansu Provincial-level Key Laboratory of Digestive System Tumors, Lanzhou 730030, China
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Systematic Review of Efficacy and Safety of Newer Antidiabetic Drugs Approved from 2013 to 2017 in Controlling HbA1c in Diabetes Patients. PHARMACY 2018; 6:pharmacy6030057. [PMID: 29954090 PMCID: PMC6164486 DOI: 10.3390/pharmacy6030057] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 06/01/2018] [Accepted: 06/21/2018] [Indexed: 02/07/2023] Open
Abstract
Type 2 Diabetes Mellitus (T2DM) is the most common form of diabetes mellitus and accounts for about 95% of all diabetes cases. Many newer oral as well as parenteral antidiabetic drugs have been introduced in to the market in recent years to control hyperglycemic conditions in diabetes patients and many of these drugs produce potential side effects in diabetes patients. Hence, this systematic review was aimed to analyze and compare the efficacy and safety of oral antidiabetic agents in controlling HbA1c in T2DM patients, that were approved by the United States-Food and Drug Administration (US-FDA) from 2013 to 2017. All randomized controlled, double-blind trials published in English during the search period involving the newer antidiabetic agents were selected. In the outcome assessment comparison, semaglutide demonstrated the highest efficacy in lowering HbA1c, with a 1.6% reduction (p < 0.0001) when given at a dose of 1.0 mg. The safety profile of all the agents as compared to placebo or control were similar, with no or slight increase in the occurrence of adverse events (AEs) but no fatal reaction was reported. The most common AEs of all the antidiabetic agents were gastrointestinal in nature, with several cases of hypoglycemic events. However, among all these agents, semaglutide seems to be the most efficacious drug to improve glycemic control in terms of HbA1c. Alogliptin has the least overall frequency of AEs compared to other treatment groups.
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Webb N, Orme M, Witkowski M, Nakanishi R, Langer J. A Network Meta-Analysis Comparing Semaglutide Once-Weekly with Other GLP-1 Receptor Agonists in Japanese Patients with Type 2 Diabetes. Diabetes Ther 2018; 9:973-986. [PMID: 29574633 PMCID: PMC5984907 DOI: 10.1007/s13300-018-0397-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Semaglutide once-weekly (QW) is a novel glucagon-like peptide-1 (GLP-1) analogue administered at a 0.5 or 1.0 mg dose. In the absence of head-to-head trials between semaglutide QW and other GLP-1 receptor agonists (GLP-1 RAs) in a Japanese population, a network meta-analysis (NMA) was performed. The objective was to assess the relative efficacy and safety of semaglutide QW vs GLP-1 RAs in Japanese patients with type 2 diabetes (T2DM), with a specific focus on the comparison between semaglutide 0.5 mg QW and dulaglutide 0.75 mg QW. METHODS A systematic review (SR) and supplementary Japanese searches were conducted to identify trials of GLP-1 RAs in Japanese patients on diet and exercise, who have previously received 0-1 oral antidiabetic drugs (OADs). Data at 52-56 weeks were extracted for the following outcomes (feasible for analysis in an NMA): glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), weight, systolic blood pressure (SBP), and overall hypoglycemia. The data were synthesized using an NMA and a Bayesian framework. RESULTS Four trials, identified from the SR and Japanese-specific searches, were relevant for inclusion in the NMA. When compared to dulaglutide 0.75 mg QW, semaglutide 0.5 mg QW was shown to provide significant reductions in HbA1c [- 0.61% (12.3 mmol/mol)], weight (- 1.45 kg), SBP (- 5.03 mmHg), and FPG (- 1.26 mmol/L). No significant differences in the proportion of patients achieving a HbA1c level < 7% (53 mmol/mol) or the risk of overall hypoglycemia were observed between semaglutide 0.5 mg QW and dulaglutide 0.75 mg QW. CONCLUSION Overall, semaglutide 0.5 mg QW was associated with significant reductions from baseline in HbA1c, weight, SBP, and FPG compared with dulaglutide 0.75 mg QW in Japanese patients with T2DM. These data may provide valuable evidence for clinical decision-making, cost-effectiveness analyses, and health technology appraisal (HTA) requirements. FUNDING Novo Nordisk Pharma Ltd.
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Affiliation(s)
- Neil Webb
- DRG Abacus, Bicester, Oxfordshire, UK
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20
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Inman TR, Plyushko E, Austin NP, Johnson JL. The role of basal insulin and GLP-1 receptor agonist combination products in the management of type 2 diabetes. Ther Adv Endocrinol Metab 2018; 9:151-155. [PMID: 29796245 PMCID: PMC5958427 DOI: 10.1177/2042018818763698] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 02/13/2018] [Indexed: 12/30/2022] Open
Abstract
The prevalence of type 2 diabetes necessitates the development of new treatment options to individualize therapy. Basal insulin has been a standard treatment option for years, while glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have grown in use over the past decade due to glucose-lowering efficacy and weight loss potential. There are two new combination injectable products that have recently been approved combining basal insulins with GLP-1 RAs in single pen-injector devices. United States guidelines recently emphasize the option to use combination injectable therapy with GLP-1 RAs and basal insulin once the basal insulin has been optimally titrated as a second- or third-line agent in addition to metformin without reaching the goal A1c. Insulin glargine/lixisenatide 100/33 (IGlarLixi) can be dosed between 15 and 60 units once daily from a single pen-injector device. Insulin degludec/liraglutide 100/3.6 (IDegLira) can be dosed between 10 and 50 units once daily, also from a single pen-injector device. Maximum doses, while measured in units, correspond to limits defined by each individual GLP-1 RA. The dual use of basal insulin plus GLP-1 RA is non-inferior compared with basal insulin plus a single injection of prandial insulin at the largest meal and compared with twice daily-dosed premixed insulins; and this combination is associated with weight loss and less hypoglycemia. These new combination products could help providers effectively and efficiently follow clinical practice guidelines while enhancing patient adherence with injectable medications.
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Affiliation(s)
- Taylor R. Inman
- Southwestern Oklahoma State University College of Pharmacy, Tulsa, OK, USA
| | - Erika Plyushko
- Southwestern Oklahoma State University College of Pharmacy, Tulsa, OK, USA
| | - Nicholas P. Austin
- Southwestern Oklahoma State University College of Pharmacy, Tulsa, OK, USA
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Trujillo JM, Goldman J. Lixisenatide, a Once-Daily Prandial Glucagon-Like Peptide-1 Receptor Agonist for the Treatment of Adults with Type 2 Diabetes. Pharmacotherapy 2017; 37:927-943. [PMID: 28556176 DOI: 10.1002/phar.1962] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Lixisenatide, a short-acting glucagon-like peptide-1 receptor agonist (GLP-1 RA), has been available in Europe since 2013 and was recently approved in the United States for the treatment of type 2 diabetes (T2D) as an adjunct to diet and exercise. The objective of this systematic review is to describe the pharmacology, pharmacokinetics, safety, and efficacy of lixisenatide in patients with T2D. We conducted a search of the EMBASE database, limited to human studies with abstracts available in English. Published conference abstracts, limited to the American Diabetes Association (ADA) and the European Association for the Study of Diabetes meetings in 2015, as well as abstracts presented at the ADA meeting in 2016, were also screened. The abstracts retrieved were assessed for relevance; review articles and meta-analyses focusing on GLP-1 RAs as a class were excluded. Lixisenatide induced mean reductions of 0.46-0.99% in glycated hemoglobin A1c (HbA1c ), 55.86-143.43 mg/dl in 2-hour postprandial glucose (PPG) levels, and 56.58-127.75 mg/dl in mealtime glucose level variations. Changes in fasting plasma glucose (FPG) levels and weight ranged from -21.98 to +5.41 mg/dl and from -2.96 to +0.3 kg, respectively, in patients with T2D enrolled in the GetGoal clinical program (a program of clinical trials that established the efficacy and safety profile of lixisenatide 20 μg once/day across patients with T2D with differing background therapies). Lixisenatide was well tolerated, demonstrating rates of symptomatic hypoglycemia of 0.8-42.9% and a very low rate of severe hypoglycemia (< 1.5%) as well as no increased risk of cardiovascular events. The most common adverse events were gastrointestinal in nature, mainly transient nausea and vomiting of mild-to-moderate severity. Lixisenatide effectively lowers HbA1c levels in patients with T2D through a mechanism of action complementary to that of agents that mainly target FPG, with the additional benefit of weight loss. Its once-daily administration schedule and effect on PPG levels make it an attractive option as add-on treatment to basal insulin therapy or oral antidiabetic agents.
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Affiliation(s)
- Jennifer M Trujillo
- University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado
| | - Jennifer Goldman
- Pharmacy Practice, School of Pharmacy, MCPHS University, Boston, Massachusetts
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Inhibition of plaque progression and promotion of plaque stability by glucagon-like peptide-1 receptor agonist: Serial in vivo findings from iMap-IVUS in Watanabe heritable hyperlipidemic rabbits. Atherosclerosis 2017; 265:283-291. [PMID: 28693828 DOI: 10.1016/j.atherosclerosis.2017.06.920] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 05/28/2017] [Accepted: 06/22/2017] [Indexed: 01/20/2023]
Abstract
BACKGROUND AND AIMS Glucagon-like peptide-1 (GLP-1) is thought to inhibit development of aortic atherosclerosis and plaque formation. However, whether GLP-1 stabilizes fully developed atherosclerotic plaque or alters the complicated plaque composition remains unclarified. METHODS Ten Watanabe heritable hyperlipidemic (WHHL) rabbits were divided into GLP-1 receptor agonist treatment group and control group. After confirmation of atherosclerotic plaques in brachiocephalic arteries by iMap intravascular ultrasound (iMAP-IVUS), GLP-1 receptor agonist lixisenatide was administered to WHHL rabbits at 30 nmoL/kg/day for 12 weeks by osmotic pump. An equal volume of normal saline was administered in a control group. After evaluation by iMAP-IVUS at 12 weeks, brachiocephalic arteries were harvested for pathological histological analysis. RESULTS iMAP-IVUS analysis revealed larger fibrotic plaque components and smaller necrotic and calcified plaque components in the GLP-1 group than in the control group; %fibrotic area: 66.30 ± 2.06% vs. 75.14 ± 2.62%, p < 0.01, %necrotic area: 23.25 ± 1.87% vs. 16.17 ± 2.27%, p = 0.02, %calcified area: 2.15 ± 0.24% vs. 1.00 ± 0.18%, p < 0.01), indicating that GLP-1 receptor agonist might modify plaque composition and increase plaque stability. Histological analysis confirmed that GLP-1 receptor agonist treatment improved smooth muscle cell (SMC)-rich plaque with increased fibrotic content. Furthermore, plaque macrophage infiltration and calcification were significantly reduced by GLP-1 receptor agonist treatment; %SMC area: 6.93 ± 0.31% vs. 8.14 ± 0.48%, p = 0.02; %macrophage area: 9.11 ± 0.80% vs. 6.19 ± 0.85%, p < 0.01; %fibrotic area: 54.75 ± 1.63% vs. 69.60 ± 2.12%, p = 0.02; %calcified area: 3.25 ± 0.67% vs. 0.75 ± 0.15%, p = 0.02). CONCLUSIONS GLP-1 receptor agonist inhibited plaque progression and promoted plaque stabilization by inhibiting plaque growth and modifying plaque composition.
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Abstract
Objective: To evaluate the clinical role of Adlyxin (lixisenatide) in the treatment of type 2 diabetes mellitus. Data Sources: A MEDLINE search of the English language indexed from January 2013 to April 2017 was conducted using the search terms lixisenatide, safety, and efficacy. Study Selection and Data Extraction: Studies including human subjects were utilized to assess the efficacy and safety of lixisenatide. Data Synthesis: Lixisenatide is a glucagon-like peptide-1 receptor agonist (GLP-1 RA) that increases glucose-dependent insulin release, decreases glucagon secretion, and slows gastric emptying. Clinical trials demonstrate that lixisenatide is an effective add-on pharmacotherapy option to achieve goal HbA1c levels. For example, in the Get Goal-Duo 1 study, HbA1c decreased to 7.0% in the lixisenatide group versus 7.3% in the placebo group (least square mean difference of −0.3%, P < .0001). Furthermore, lixisenatide was shown to be superior to liraglutide in reducing postbreakfast glucose levels. Conclusions: Clinical studies have demonstrated that lixisenatide is a safe and effective treatment option for type 2 diabetes mellitus. In addition, it may be a safer and equally effective option to rapid-acting insulin.
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Chan WB, Luk A, Chow WS, Yeung VTF. What next after basal insulin? Treatment intensification with lixisenatide in Asian patients with type 2 diabetes mellitus. J Diabetes 2017; 9:562-574. [PMID: 27976513 DOI: 10.1111/1753-0407.12515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Revised: 11/25/2016] [Accepted: 12/06/2016] [Indexed: 12/15/2022] Open
Abstract
There is increasing evidence that the pathophysiology of type 2 diabetes mellitus (T2DM) in Asian patients differs from that in Western patients, with early phase insulin deficiencies, increased postprandial glucose excursions, and increased sensitivity to insulin. Asian patients may also experience higher rates of gastrointestinal adverse events associated with glucagon-like peptide-1 receptor agonists (GLP-1RAs), such as nausea and vomiting, compared with their Western counterparts. These factors should be taken into consideration when selecting therapy for basal insulin treatment intensification in Asian patients. However, the majority of studies to establish various agents for treatment intensification in T2DM have been conducted in predominantly Western populations, and the levels of evidence available in Chinese or Asian patients are limited. This review discusses the different mechanisms of action of short-acting, prandial, and long-acting GLP-1RAs in addressing hyperglycemia, and describes the rationale and available clinical data for basal insulin in combination with the short-acting prandial GLP-1RA lixisenatide, with a focus on treatment of Asian patients with T2DM.
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Affiliation(s)
- Wing B Chan
- Endocrinology, Diabetes & Metabolism, Qualigenics Diabetes Centre, Hong Kong, SAR China
| | - Andrea Luk
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, SAR China
| | - Wing S Chow
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, SAR China
| | - Vincent T F Yeung
- Department of Medicine and Geriatrics, Our Lady of Maryknoll Hospital, Hong Kong, SAR China
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25
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Giorgino F, Bonadonna RC, Gentile S, Vettor R, Pozzilli P. Treatment intensification in patients with inadequate glycemic control on basal insulin: rationale and clinical evidence for the use of short-acting and other glucagon-like peptide-1 receptor agonists. Diabetes Metab Res Rev 2016; 32:497-511. [PMID: 26787264 PMCID: PMC5071744 DOI: 10.1002/dmrr.2775] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2015] [Revised: 12/07/2015] [Accepted: 12/18/2015] [Indexed: 12/17/2022]
Abstract
A substantial proportion of patients with type 2 diabetes mellitus do not reach glycemic targets, despite treatment with oral anti-diabetic drugs and basal insulin therapy. Several options exist for treatment intensification beyond basal insulin, and the treatment paradigm is complex. In this review, the options for treatment intensification will be explored, focusing on drug classes that act via the incretin system and paying particular attention to the short-acting glucagon-like peptide-1 receptor agonists exenatide and lixisenatide. Current treatment guidelines will be summarized and discussed. © 2016 The Authors. Diabetes/Metabolism Research and Reviews Published by John Wiley & Sons Ltd.
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Affiliation(s)
- Francesco Giorgino
- Dipartimento dell'Emergenza e dei Trapianti di Organi, Sezione di Medicina Interna, Endocrinologia, Andrologia e Malattie MetabolicheUniversità degli Studi di Bari Aldo MoroBariItaly
| | - Riccardo C. Bonadonna
- Dipartimento di Medicina Clinica e Sperimentale, Divisione di EndocrinologiaUniversità degli Studi di Parma, and AOU di ParmaParmaItaly
| | - Sandro Gentile
- Dipartimento di Medicina Clinica e SperimentaleSeconda Università degli Studi di NapoliNaplesItaly
| | - Roberto Vettor
- Dipartimento di Medicina – DIMED, Clinica Medica 3Università di PadovaPadovaItaly
| | - Paolo Pozzilli
- Department of Endocrinology & DiabetesUniversità Campus Bio‐MedicoRomeItaly
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26
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Scott RA, Freitag DF, Li L, Chu AY, Surendran P, Young R, Grarup N, Stancáková A, Chen Y, Varga TV, Yaghootkar H, Luan J, Zhao JH, Willems SM, Wessel J, Wang S, Maruthur N, Michailidou K, Pirie A, van der Lee SJ, Gillson C, Al Olama AA, Amouyel P, Arriola L, Arveiler D, Aviles-Olmos I, Balkau B, Barricarte A, Barroso I, Garcia SB, Bis JC, Blankenberg S, Boehnke M, Boeing H, Boerwinkle E, Borecki IB, Bork-Jensen J, Bowden S, Caldas C, Caslake M, Cupples LA, Cruchaga C, Czajkowski J, den Hoed M, Dunn JA, Earl HM, Ehret GB, Ferrannini E, Ferrieres J, Foltynie T, Ford I, Forouhi NG, Gianfagna F, Gonzalez C, Grioni S, Hiller L, Jansson JH, Jørgensen ME, Jukema JW, Kaaks R, Kee F, Kerrison ND, Key TJ, Kontto J, Kote-Jarai Z, Kraja AT, Kuulasmaa K, Kuusisto J, Linneberg A, Liu C, Marenne G, Mohlke KL, Morris AP, Muir K, Müller-Nurasyid M, Munroe PB, Navarro C, Nielsen SF, Nilsson PM, Nordestgaard BG, Packard CJ, Palli D, Panico S, Peloso GM, Perola M, Peters A, Poole CJ, Quirós JR, Rolandsson O, Sacerdote C, Salomaa V, Sánchez MJ, Sattar N, Sharp SJ, Sims R, Slimani N, Smith JA, Thompson DJ, Trompet S, Tumino R, van der A DL, van der Schouw YT, Virtamo J, Walker M, Walter K, Abraham JE, Amundadottir LT, Aponte JL, Butterworth AS, Dupuis J, Easton DF, Eeles RA, Erdmann J, Franks PW, Frayling TM, Hansen T, Howson JMM, Jørgensen T, Kooner J, Laakso M, Langenberg C, McCarthy MI, Pankow JS, Pedersen O, Riboli E, Rotter JI, Saleheen D, Samani NJ, Schunkert H, Vollenweider P, O'Rahilly S, Deloukas P, Danesh J, Goodarzi MO, Kathiresan S, Meigs JB, Ehm MG, Wareham NJ, Waterworth DM. A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci Transl Med 2016; 8:341ra76. [PMID: 27252175 PMCID: PMC5219001 DOI: 10.1126/scitranslmed.aad3744] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Accepted: 05/10/2016] [Indexed: 02/06/2023]
Abstract
Regulatory authorities have indicated that new drugs to treat type 2 diabetes (T2D) should not be associated with an unacceptable increase in cardiovascular risk. Human genetics may be able to guide development of antidiabetic therapies by predicting cardiovascular and other health endpoints. We therefore investigated the association of variants in six genes that encode drug targets for obesity or T2D with a range of metabolic traits in up to 11,806 individuals by targeted exome sequencing and follow-up in 39,979 individuals by targeted genotyping, with additional in silico follow-up in consortia. We used these data to first compare associations of variants in genes encoding drug targets with the effects of pharmacological manipulation of those targets in clinical trials. We then tested the association of those variants with disease outcomes, including coronary heart disease, to predict cardiovascular safety of these agents. A low-frequency missense variant (Ala316Thr; rs10305492) in the gene encoding glucagon-like peptide-1 receptor (GLP1R), the target of GLP1R agonists, was associated with lower fasting glucose and T2D risk, consistent with GLP1R agonist therapies. The minor allele was also associated with protection against heart disease, thus providing evidence that GLP1R agonists are not likely to be associated with an unacceptable increase in cardiovascular risk. Our results provide an encouraging signal that these agents may be associated with benefit, a question currently being addressed in randomized controlled trials. Genetic variants associated with metabolic traits and multiple disease outcomes can be used to validate therapeutic targets at an early stage in the drug development process.
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Affiliation(s)
- Robert A Scott
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
| | - Daniel F Freitag
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK. The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Li Li
- Statistical Genetics, Projects, Clinical Platforms, and Sciences (PCPS), GlaxoSmithKline, Research Triangle Park, NC 27709, USA
| | - Audrey Y Chu
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Praveen Surendran
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Robin Young
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Alena Stancáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, FI-70211 Kuopio, Finland
| | - Yuning Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Tibor V Varga
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 Malmö, Sweden
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Jian'an Luan
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Jing Hua Zhao
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Sara M Willems
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, 3000 CE Rotterdam, Netherlands
| | - Jennifer Wessel
- Department of Epidemiology, Fairbanks School of Public Health, Indianapolis, IN 46202, USA. Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Shuai Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Nisa Maruthur
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD 21205, USA. Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Ailith Pirie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus University Medical Center, 3000 CA Rotterdam, Netherlands
| | - Christopher Gillson
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Ali Amin Al Olama
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Philippe Amouyel
- University of Lille, INSERM, Centre Hospitalier Régional Universitaire de Lille, Institut Pasteur de Lille, UMR 1167, RID-AGE, F-59000 Lille, France
| | - Larraitz Arriola
- Public Health Division of Gipuzkoa, San Sebastian 20013, Spain. Instituto BIO-Donostia, Basque Government, San Sebastian 20014, Spain. CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Dominique Arveiler
- Department of Epidemiology and Public Health (EA3430), University of Strasbourg, 67085 Strasbourg, France
| | - Iciar Aviles-Olmos
- Sobell Department of Motor Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK
| | - Beverley Balkau
- INSERM, Centre de Recherche en Epidémiologie et Santé des Populations (CESP), 94807 Villejuif, France. Univeristy of Paris-Sud, F-94805 Villejuif, France
| | - Aurelio Barricarte
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain. Navarre Public Health Institute (ISPN), Pamplona 31003, Spain
| | - Inês Barroso
- The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK. University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Sara Benlloch Garcia
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Stefan Blankenberg
- Department of General and Interventional Cardiology, University Heart Center Hamburg, 20246 Hamburg, Germany
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109-2029, USA
| | - Heiner Boeing
- German Institute of Human Nutrition, Potsdam-Rehbruecke, 14558 Nuthetal, Germany
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77025, USA. Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ingrid B Borecki
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Jette Bork-Jensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Sarah Bowden
- Cancer Research UK Clinical Trials Unit, Institute for Cancer Studies, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge CB2 0RE, UK
| | | | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA. Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), Framingham, MA 01702-5827, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jacek Czajkowski
- Division of Statistical Genomics, Department of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Marcel den Hoed
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, SE-752 37 Uppsala, Sweden
| | - Janet A Dunn
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK
| | - Helena M Earl
- University of Cambridge and National Institute of Health Research Cambridge Biomedical Research Centre, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge CB2 0QQ, UK
| | - Georg B Ehret
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Ele Ferrannini
- Consiglio Nazionale delle Ricerche (CNR), Institute of Clinical Physiology, 56124 Pisa, Italy
| | - Jean Ferrieres
- Department of Epidemiology, UMR 1027, INSERM, Centre Hospitalier Universitaire (CHU) de Toulouse, 31000 Toulouse, France
| | - Thomas Foltynie
- Sobell Department of Motor Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK
| | - Ian Ford
- University of Glasgow, Glasgow G12 8QQ, UK
| | - Nita G Forouhi
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Francesco Gianfagna
- Department of Clinical and Experimental Medicine, Research Centre in Epidemiology and Preventive Medicine, University of Insubria, 21100 Varese, Italy. Department of Epidemiology and Prevention, Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Istituto Neurologico Mediterraneo Neuromed, 86077 Pozzilli, Italy
| | | | - Sara Grioni
- Epidemiology and Prevention Unit, 20133 Milan, Italy
| | - Louise Hiller
- Warwick Clinical Trials Unit, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK
| | - Jan-Håkan Jansson
- Research Unit, 931 41 Skellefteå, Sweden. Department of Public Health & Clinical Medicine, Umeå University, 901 85 Umeå, Sweden
| | - Marit E Jørgensen
- Steno Diabetes Center, 2820 Gentofte, Denmark. National Institute of Public Health, Southern Denmark University, DK-1353 Odense, Denmark
| | - J Wouter Jukema
- Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Rudolf Kaaks
- German Cancer Research Centre (DKFZ), 69120 Heidelberg, Germany
| | - Frank Kee
- UK Clinical Research Collaboration (UKCRC) Centre of Excellence for Public Health, Queen's University Belfast, Northern Ireland, Belfast BT12 6BJ, UK
| | - Nicola D Kerrison
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | | | - Jukka Kontto
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | | | - Aldi T Kraja
- Division of Statistical Genomics, Department of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Kari Kuulasmaa
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, FI-70211 Kuopio, Finland. Kuopio University Hospital, FL 70029 Kuopio, Finland
| | - Allan Linneberg
- Research Centre for Prevention and Health, Capital Region, DK-2600 Copenhagen, Denmark. Department of Clinical Experimental Research, Rigshospitalet, 2100 Glostrup, Denmark. Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Chunyu Liu
- Framingham Heart Study, Population Sciences Branch, NHLBI/National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Gaëlle Marenne
- The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599-7264, USA
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Kenneth Muir
- Centre for Epidemiology, Institute of Population Health, University of Manchester, Oxford Road, Manchester M13 9PT, UK. University of Warwick, Coventry CV4 7AL, UK
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany. Department of Medicine I, Ludwig Maximilians University Munich, 80336 Munich, Germany. DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Patricia B Munroe
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - Carmen Navarro
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain. Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia 30008, Spain
| | - Sune F Nielsen
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, 2730 Copenhagen, Denmark
| | | | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, 2730 Copenhagen, Denmark
| | | | - Domenico Palli
- Cancer Research and Prevention Institute (ISPO), 50141 Florence, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, 80131 Naples, Italy
| | - Gina M Peloso
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114, USA. Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - Markus Perola
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland. Institute of Molecular Medicine Finland (FIMM), University of Helsinki, FI-00014 Helsinki, Finland
| | - Annette Peters
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany
| | - Christopher J Poole
- University of Warwick, Coventry CV4 7AL, UK. Department of Medical Oncology, Arden Cancer Centre, University Hospital Coventry and Warwickshire, West Midlands CV2 2DX, UK
| | - J Ramón Quirós
- Public Health Directorate, 33006 Oviedo, Asturias, Spain
| | | | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Citta' della Salute e della Scienza Hospital, University of Turin, 10126 Torino, Italy. Center for Cancer Prevention (CPO), 10126 Torino, Italy. Human Genetics Foundation, 10126 Torino, Italy
| | - Veikko Salomaa
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - María-José Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain. Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada 18012, Spain
| | | | - Stephen J Sharp
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Rebecca Sims
- Institute of Psychological Medicine and Clinical Neuroscience, MRC Centre, Cardiff University, Cardiff CF24 4HQ, UK
| | - Nadia Slimani
- International Agency for Research on Cancer, 69372 Lyon, France
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109-2029, USA
| | - Deborah J Thompson
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Stella Trompet
- Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, "Civic-M.P. Arezzo" Hospital, ASP Ragusa, 97100 Ragusa, Italy
| | - Daphne L van der A
- National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, Netherlands
| | | | - Jarmo Virtamo
- National Institute for Health and Welfare, FI-00271 Helsinki, Finland
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Klaudia Walter
- The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Jean E Abraham
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Laufey T Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Jennifer L Aponte
- Genetics, PCPS, GlaxoSmithKline, Research Triangle Park, NC 27709, USA
| | - Adam S Butterworth
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK. Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge CB1 8RN, UK
| | - Rosalind A Eeles
- The Institute of Cancer Research, London SM2 5NG, UK. Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey SW3 6JJ, UK
| | - Jeanette Erdmann
- Institut für Integrative und Experimentelle Genomik, Universität zu Lübeck, 23562 Lübeck, Germany
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 Malmö, Sweden. Department of Public Health & Clinical Medicine, Umeå University, 901 85 Umeå, Sweden. Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Joanna M M Howson
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Torben Jørgensen
- Research Centre for Prevention and Health, DK-2600 Capital Region, Denmark. Department of Public Health, Institute of Health Science, University of Copenhagen, 1014 Copenhagen, Denmark. Faculty of Medicine, Aalborg University, 9220 Aalborg, Denmark
| | - Jaspal Kooner
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK. Imperial College Healthcare NHS Trust, London W2 1NY, UK. Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK
| | - Markku Laakso
- Department of Medicine, University of Kuopio, FI-70211 Kuopio, Finland
| | - Claudia Langenberg
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, UK
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455-0381, USA
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Elio Riboli
- School of Public Health, Imperial College London, London W2 1PG, UK
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-University of California, Los Angeles Medical Center, Torrance, CA 90502, USA
| | - Danish Saleheen
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester LE3 9QP, UK. National Institute for Health Research, Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Heribert Schunkert
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany. Deutsches Herzzentrum München, Technische Universität München, 80636 Munich, Germany
| | - Peter Vollenweider
- Department of Internal Medicine, BH10-462, Internal Medicine, Lausanne University Hospital (CHUV), CH-1011 Lausanne, Switzerland
| | - Stephen O'Rahilly
- University of Cambridge Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, Cambridge CB2 0QQ, UK. MRC Metabolic Diseases Unit, Cambridge CB2 0QQ, UK. National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, UK
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - John Danesh
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK. The Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Sekar Kathiresan
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Cardiology Division, Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - James B Meigs
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA. Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Margaret G Ehm
- Genetics, PCPS, GlaxoSmithKline, Research Triangle Park, NC 27709, USA
| | - Nicholas J Wareham
- Medical Research Council (MRC) Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
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Anderson SL, Trujillo JM. Lixisenatide in type 2 diabetes: latest evidence and clinical usefulness. Ther Adv Chronic Dis 2016; 7:4-17. [PMID: 26770666 DOI: 10.1177/2040622315609312] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Type 2 diabetes (T2D) is a highly prevalent disorder that affects millions of people worldwide. The hallmark of T2D is hyperglycemia and, while many treatment modalities exist, achieving and maintaining glycemic control can be challenging. Glucagon-like peptide-1 (GLP-1) receptor agonists (RAs) are an appealing treatment option as they improve glycemic control, reduce weight, and limit the risk of hypoglycemia. Lixisenatide is a once-daily GLP-1 RA that has been evaluated in the GetGoal clinical trial program and has demonstrated efficacy and tolerability across a spectrum of patients. The feature that most distinguishes lixisenatide from other GLP-1 RAs is its ability to substantially reduce postprandial glucose (PPG) for the meal immediately following injection. Because of its positive effects on PPG, lixisenatide is being considered as a replacement for prandial insulin, and a fixed dose combination product containing lixisenatide and basal insulin is in development. Lixisenatide is a promising new addition to the antidiabetic armamentarium, but due to the lack of real-world experience with the drug, its exact place in therapy is unknown.
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Affiliation(s)
- Sarah L Anderson
- University of Colorado Anschutz Medical Campus, Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, USA
| | - Jennifer M Trujillo
- University of Colorado Anschutz Medical Campus, Skaggs School of Pharmacy and Pharmaceutical Sciences, Mail Stop C238, 12850 East Montview Blvd., Aurora, CO, USA
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Seino H, Onishi Y, Naito Y, Komatsu M. Lixisenatide improves glycemic outcomes of Japanese patients with type 2 diabetes: a meta-analysis. Diabetol Metab Syndr 2016; 8:36. [PMID: 27252787 PMCID: PMC4888474 DOI: 10.1186/s13098-016-0151-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 05/05/2016] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND The GetGoal-L-Asia and -S trials were multi-center trials conducted in 4 and 16 countries, respectively including Japan that evaluated the efficacy and safety of lixisenatide add-on treatment vs. placebo among patients with type 2 diabetes. The aims of this study were to determine the efficacy and safety of lixisenatide add-on treatment among Japanese patient groups. METHODS All Japanese intent-to-treat patients with baseline and endpoint HbA1c measurements were included in the meta-analyses. Subgroup analyses were carried out for patients with low (<8 %) and high (≥8 %) baseline HbA1c levels, low (<25 kg/m(2)) and high (≥25 kg/m(2)) baseline body mass index (BMI), short (<10 years) and long (≥10 years) durations of diabetes, and for those <65 and ≥65 years of age. RESULTS The overall study population of Japanese type 2 diabetes patients included 143 patients (mean age: 59.0 years; 35 % female) treated with lixisenatide and 136 patients treated with placebo (mean age: 57.8 years; 32 % female). Among the subgroups, lixisenatide treatment vs. placebo was associated with greater change in HbA1c (Low HbA1c -0.80 %, p < 0.0001; High HbA1c -1.19 %, p < 0.0001; low BMI -0.88 %, p < 0.0001; high BMI -1.28 %, p < 0.0001; short diabetes duration -1.28 %, p < 0.0001; long diabetes duration -0.93 %, p < 0.0001; <65 years: -1.00 %, p < 0.0001; ≥65 years -1.24 %, p < 0.0001). Additionally, among the subgroups, lixisenatide treatment vs. placebo was associated with greater change in post-prandial glucose. CONCLUSIONS For Japanese type 2 diabetes patients lixisenatide may be an efficacious and safe add-on therapy leading to improved glycemic outcomes. GetGoal-L-Asia NCT01169779 GetGoal-S NCT00713830.
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Affiliation(s)
- Hiroaki Seino
- />Seino Internal Medicine Clinic, Fukushima, 9638851 Japan
| | - Yukiko Onishi
- />Division of Clinical Trials, Division of Diabetes and Metabolism, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan
| | | | - Mitsuhisa Komatsu
- />Division of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, Shinshu University School of Medicine, Nagano, Japan
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Yabe D, Seino Y. Defining the role of GLP-1 receptor agonists for individualized treatment of Type 2 diabetes. Expert Rev Endocrinol Metab 2014; 9:659-670. [PMID: 30736202 DOI: 10.1586/17446651.2014.949672] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
With the advent of dipeptidyl peptidase (DPP)-4 inhibitors and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) over the past decade, incretin therapy has become established as an important treatment strategy for Type 2 diabetes mellitus (T2DM), with an efficacy and safety profile distinct from that of other anti-hyperglycemic agents. However, our understanding of the optimal clinical use of incretins remains incomplete. This review focuses on the use of GLP-1 RAs in the treatment of T2DM, with reference to the differing dominant mechanisms of action between short- and long-acting GLP-1 RAs and the clinical implications of this difference. The role of GLP-1 and the effects of GLP-1 RAs in various organs other than the pancreas will also be discussed.
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Affiliation(s)
- Daisuke Yabe
- a Center for Diabetes, Endocrinology and Metabolism, Kansai Electric Power Hospital, Osaka, Japan
- b Center for Metabolism and Clinical Nutrition, Kansai Electric Power Hospital, Osaka, Japan
- c Division of Molecular and Metabolic Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yutaka Seino
- a Center for Diabetes, Endocrinology and Metabolism, Kansai Electric Power Hospital, Osaka, Japan
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Onishi Y, Niemoeller E, Ikeda Y, Takagi H, Yabe D, Seino Y. Efficacy and safety of lixisenatide in Japanese patients with type 2 diabetes mellitus inadequately controlled by sulfonylurea with or without metformin: Subanalysis of GetGoal-S. J Diabetes Investig 2014; 6:201-9. [PMID: 25802728 PMCID: PMC4364855 DOI: 10.1111/jdi.12275] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Revised: 07/10/2014] [Accepted: 08/07/2014] [Indexed: 11/30/2022] Open
Abstract
Aims/Introduction This was a subanalysis of Japanese patients included in the glucagon-like peptide-1 receptor agonist AVE0010 in patients with type 2 diabetes mellitus for glycemic control and safety evaluation (GetGoal-S) study – a 24-week, randomized, placebo-controlled study of lixisenatide in patients with type 2 diabetes mellitus inadequately controlled by sulfonylurea with or without metformin. Materials and Methods In GetGoal-S, 127 Japanese patients received the once-daily prandial glucagon-like peptide-1 receptor agonist lixisenatide 20 μg/day or a matching placebo. The primary outcome was change in glycated hemoglobin. Results At week 24, lixisenatide significantly reduced mean glycated hemoglobin (least squares mean difference vs the placebo −1.1% [12 mmol/mol, P < 0.0001]), and significantly more lixisenatide patients reached glycated hemoglobin targets of <7% (53 mmol/mol) and ≤6.5% (48 mmol/mol) vs the placebo. Lixisenatide produced statistically significant reductions in 2-h postprandial plasma glucose (least squares mean difference vs the placebo −8.51 mmol/L, P < 0.0001) and glucose excursion vs the placebo, and significantly reduced fasting plasma glucose (least squares mean difference vs the placebo −0.65 mmol/L, P = 0.0454). Bodyweight decreased with both lixisenatide and the placebo (least squares mean change −1.12 kg for lixisenatide, −1.02 kg for placebo). The overall incidence of adverse events was similar for lixisenatide and the placebo (84.2 and 82.4%, respectively), the most frequent being gastrointestinal disorders (52.6% for lixisenatide vs 29.4% for placebo). The incidence of symptomatic hypoglycemia was higher with lixisenatide vs the placebo (17.1 and 9.8%, respectively), with no cases of severe symptomatic hypoglycemia in either group. Conclusions In the Japanese subpopulation of the GetGoal-S study, lixisenatide produced a significant and clinically relevant improvement in glycated hemoglobin, with a pronounced improvement in postprandial plasma glucose, and a good safety and tolerability profile.
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Affiliation(s)
- Yukiko Onishi
- The Institute for Adult Disease, Asahi Life Foundation Tokyo, Japan
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