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Seaquist ER, Phillips LS, Ghosh A, Baker C, Bergenstal RM, Crandall JP, Goland RS, Gramzinski MR, Hox SH, Hsia DS, Johnson ML, Lachin JM, Raskin P, Valencia WM, Waltje AH, Younes N. Glycemia reduction in type 2 diabetes-Hypoglycemia outcomes: A randomized clinical trial. PLoS One 2024; 19:e0309907. [PMID: 39546502 DOI: 10.1371/journal.pone.0309907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 07/24/2024] [Indexed: 11/17/2024] Open
Abstract
OBJECTIVE Hypoglycemia is a major concern in type 2 diabetes (T2DM), but little is known about its likelihood compared across common therapies. We compared the likelihood of hypoglycemia among metformin-treated patients with T2DM randomized to the addition of one of 4 common therapies. RESEARCH DESIGN & METHODS Randomized, controlled trial of 5,047 participants with T2DM of <10 years' duration, hemoglobin A1c (HbA1c) 6.8-8.5% (50.8-69.4 mmol/mol). Randomization to addition of glargine U100, glimepiride, liraglutide, or sitagliptin over 5.0 ± 1.3 (mean ± SD) years. HbA1c was measured quarterly; if a level >7.5% (>58.5 mmol/mol) was confirmed, rescue glargine and/or aspart insulin was added. We conducted a per-protocol analysis of 4,830, who attended at least one post-baseline visit and took at least one dose of assigned study medication. We assessed severe hypoglycemia events reported throughout the entire study. At quarterly visits, all participants were asked about hypoglycemic symptoms within the last 30 days, and those in the glargine and glimepiride groups were asked for any measured glucose <70 mg/dL (3.9 mmol/L) within this time period. RESULTS While participants were taking their assigned medications, severe hypoglycemia occurred in 10 (0.8%), 16 (1.3%), 6 (0.5%), and 4 (0.3%), (p<0.05) and hypoglycemic symptoms in 659 (54.2%), 833 (68.3%), 375 (32.4%), and 361 (29.1%) of participants following randomization to glargine, glimepiride, liraglutide, and sitagliptin, respectively (p<0.001). CONCLUSIONS In metformin-treated patients with T2DM who add a second medication, hypoglycemia is most likely with addition of glimepiride, less with glargine, and least likely with liraglutide and sitagliptin. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01794143.
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Affiliation(s)
- Elizabeth R Seaquist
- Department of Medicine, Division of Diabetes and Endocrinology, University of Minnesota Medical School, Minneapolis, MN, United States of America
| | - Lawrence S Phillips
- Department of Medicine, Atlanta VA Medical Center, Decatur, GA and Division of Endocrinology and Metabolism, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Alokananda Ghosh
- Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, The Biostatistics Center, The George Washington University, Rockville, MD, United States of America
| | - Chelsea Baker
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, CO, United States of America
| | - Richard M Bergenstal
- Health Partners Institute, International Diabetes Center, Minneapolis, MN, United States of America
| | - Jill P Crandall
- Division of Endocrinology and Fleischer Institute for Diabetes & Metabolism, Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Robin S Goland
- Departments of Medicine and Pediatrics, Naomi Berrie Diabetes Center, Columbia University, New York, NY, United States of America
| | - Michaela R Gramzinski
- Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, The Biostatistics Center, The George Washington University, Rockville, MD, United States of America
| | - Sophia H Hox
- Department of Veterans Affairs Pacific Islands Health Care System, Honolulu, HI, United States of America
| | - Daniel S Hsia
- Clinical Trials Unit, Pennington Biomedical Research Center, Baton Rouge, LA, United States of America
| | - Mary L Johnson
- Health Partners Institute, International Diabetes Center, Minneapolis, MN, United States of America
| | - John M Lachin
- Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, The Biostatistics Center, The George Washington University, Rockville, MD, United States of America
| | - Philip Raskin
- University of Texas-Southwestern Medical Center, Dallas, TX, United States of America
| | - Willy M Valencia
- Geriatric Research Education and Clinical Center, Bruce W. Carter Veterans Affairs Center, Miami, FL, United States of America
- Department of Public Health Sciences, University of Miami, Miami, FL, United States of America
- Robert Stempel College of Public Health, Florida International University, University Park, FL, United States of America
- Endocrinology & Metabolism Institute, Center for Geriatric Medicine, Cleveland Clinic, OH, United States of America
| | - Andrea H Waltje
- University of Michigan, Ann Arbor, MI, United States of America
| | - Naji Younes
- Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, The Biostatistics Center, The George Washington University, Rockville, MD, United States of America
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Basu A, Montano-Campos F, Huang ES, Laiteerapong N, Barthold D. Updating and calibrating the Real-World Progression In Diabetes (RAPIDS) model in a non-Veterans Affairs population. Diabetes Obes Metab 2024; 26:5261-5271. [PMID: 39223846 PMCID: PMC11479577 DOI: 10.1111/dom.15878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 07/18/2024] [Accepted: 07/31/2024] [Indexed: 09/04/2024]
Abstract
OBJECTIVES To present the Real-World Progression In Diabetes (RAPIDS) 2.0 Risk Engine, the only simulation model to study the long-term trajectories of outcomes arising from dynamic sequences of glucose-lowering treatments in type 2 diabetes (T2DM). RESEARCH DESIGN AND METHODS The RAPIDS model's risk equations were re-estimated using a Least Absolute Shrinkage and Selection Operator (LASSO)-based regularization of features that spanned baseline data from the last two quarters of current time and interactions with age. These equations were supplemented with estimates for the impact of dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, and sodium-glucose cotransporter-2 inhibitor classes of drugs as monotherapies and their combinations with metformin based on newer trial data and comprehensive meta-analyses. The probabilistic RAPIDS 2.0 model was calibrated (N = 25 000) and validated (N = 263 816) using electronic medical records (EMR) data between 2008 and 2021 from a national network of US healthcare organizations. RESULTS The EMR-based cohort had a mean age of 61 years at baseline, with 50% women, 70% non-Hispanic White individuals and 20% non-Hispanic Black individuals, and was followed for 17.5 quarters (range: 3-50). The final RAPIDS 2.0 risk engine accurately predicted the long-term trajectories of all nine biomarkers and nine outcomes in the hold-out validation sample. Similar accuracies in predictions were observed in each of the 14 subgroups studied. CONCLUSION The RAPIDS 2.0 model demonstrated valid long-term predictions of outcomes in individuals with T2DM in the United States as a function of dynamic sequences of treatment use patterns. This highlights its potential to project long-term comparative effectiveness between alternative sequences of glucose-lowering treatment uses in the United States.
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Affiliation(s)
- Anirban Basu
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy and the Departments of Health Services and Economics, University of Washington, Seattle
| | - Felipe Montano-Campos
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy and the Departments of Health Services and Economics, University of Washington, Seattle
| | - Elbert S Huang
- Section of General Internal Medicine, The University of Chicago, Chicago
| | - Neda Laiteerapong
- Section of General Internal Medicine, The University of Chicago, Chicago
| | - Douglas Barthold
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy and the Departments of Health Services and Economics, University of Washington, Seattle
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Chen X, Song Y, Hong Y, Zhang X, Li Q, Zhou H. "NO" controversy?: A controversial role in insulin signaling of diabetic encephalopathy. Mol Cell Endocrinol 2024; 593:112346. [PMID: 39151653 DOI: 10.1016/j.mce.2024.112346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/14/2024] [Accepted: 08/13/2024] [Indexed: 08/19/2024]
Abstract
Insulin, a critical hormone in the human body, exerts its effects by binding to insulin receptors and regulating various cellular processes. While nitric oxide (NO) plays an important role in insulin secretion and acts as a mediator in the signal transduction pathway between upstream molecules and downstream effectors, holds a significant position in the downstream signal network of insulin. Researches have shown that the insulin-NO system exhibits a dual regulatory effect within the central nervous system, which is crucial in the regulation of diabetic encephalopathy (DE). Understanding this system holds immense practical importance in comprehending the targets of existing drugs and the development of potential therapeutic interventions. This review extensively examines the characterization of insulin, NO, Nitric oxide synthase (NOS), specific NO pathway, their interconnections, and the mechanisms underlying their regulatory effects in DE, providing a reference for new therapeutic targets of DE.
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Affiliation(s)
- Xi Chen
- Department of Pharmacology, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Ying Song
- Department of Pharmacology, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China; Hangzhou King's Bio-pharmaceutical Technology Co., Ltd, Hangzhou, Zhejiang, 310007, China.
| | - Ye Hong
- Department of Pharmacology, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Xiaomin Zhang
- Department of Pharmacology, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Qisong Li
- Department of Pharmacology, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Hongling Zhou
- Department of Pharmacology, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
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Smith C, Lin X, Parker L, Yeap BB, Hayes A, Levinger I. The role of bone in energy metabolism: A focus on osteocalcin. Bone 2024; 188:117238. [PMID: 39153587 DOI: 10.1016/j.bone.2024.117238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 08/06/2024] [Accepted: 08/14/2024] [Indexed: 08/19/2024]
Abstract
Understanding the mechanisms involved in whole body glucose regulation is key for the discovery of new treatments for type 2 diabetes (T2D). Historically, glucose regulation was largely focused on responses to insulin and glucagon. Impacts of incretin-based therapies, and importance of muscle mass, are also highly relevant. Recently, bone was recognized as an endocrine organ, with several bone proteins, known as osteokines, implicated in glucose metabolism through their effects on the liver, skeletal muscle, and adipose tissue. Research efforts mostly focused on osteocalcin (OC) as a leading example. This review will provide an overview on this role of bone by discussing bone turnover markers (BTMs), the receptor activator of nuclear factor kB ligand (RANKL), osteoprotegerin (OPG), sclerostin (SCL) and lipocalin 2 (LCN2), with a focus on OC. Since 2007, some, but not all, research using mostly OC genetically modified animal models suggested undercarboxylated (uc) OC acts as a hormone involved in energy metabolism. Most data generated from in vivo, ex vivo and in vitro models, indicate that exogenous ucOC administration improves whole-body and skeletal muscle glucose metabolism. Although data in humans are generally supportive, findings are often discordant likely due to methodological differences and observational nature of that research. Overall, evidence supports the concept that bone-derived factors are involved in energy metabolism, some having beneficial effects (ucOC, OPG) others negative (RANKL, SCL), with the role of some (LCN2, other BTMs) remaining unclear. Whether the effect of osteokines on glucose regulation is clinically significant and of therapeutic value for people with insulin resistance and T2D remains to be confirmed.
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Affiliation(s)
- Cassandra Smith
- Nutrition & Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, Western Australia, Australia; Medical School, The University of Western Australia, Perth, Western Australia, Australia; Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia; Australian Institute for Musculoskeletal Science (AIMSS), Victoria University and Western Health, St Albans, VIC, Australia
| | - Xuzhu Lin
- Centre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC, Australia
| | - Lewan Parker
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia
| | - Bu B Yeap
- Medical School, The University of Western Australia, Perth, Western Australia, Australia; Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Australia
| | - Alan Hayes
- Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia; Australian Institute for Musculoskeletal Science (AIMSS), Victoria University and Western Health, St Albans, VIC, Australia; Department of Medicine - Western Health, The University of Melbourne, Footscray, VIC, Australia
| | - Itamar Levinger
- Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia; Australian Institute for Musculoskeletal Science (AIMSS), Victoria University and Western Health, St Albans, VIC, Australia; Department of Medicine - Western Health, The University of Melbourne, Footscray, VIC, Australia.
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5
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Hong JH, Kim MJ, Min KW, Won JC, Kim TN, Lee BW, Kang JG, Kim JH, Park JH, Ku BJ, Lee CB, Kim SY, Shon HS, Lee WJ, Park JY. Efficacy and safety of a fixed-dose combination of dapagliflozin and linagliptin (AJU-A51) in patients with type 2 diabetes mellitus: A multicentre, randomized, double-blind, parallel-group, placebo-controlled phase III study. Diabetes Obes Metab 2024. [PMID: 39375869 DOI: 10.1111/dom.15985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 09/16/2024] [Accepted: 09/16/2024] [Indexed: 10/09/2024]
Abstract
AIMS To evaluate the efficacy and safety of add-on dapagliflozin in patients with type 2 diabetes mellitus (T2D) who had inadequate glycaemic control with metformin and linagliptin. MATERIALS AND METHODS A total of 235 patients with inadequate response to metformin (≥1000 mg/day) plus linagliptin (5 mg/day) were randomized to receive either dapagliflozin/linagliptin fixed-dose combination (FDC [AJU-A51]) 10/5 mg/day (n = 117) or linagliptin 5 mg plus placebo (n = 118) for 24 weeks. After the main treatment period, patients who received linagliptin plus placebo were treated with AJU-A51 for an additional 28 weeks. Change in glycated haemoglobin (HbA1c) from baseline to Week 24 was the primary endpoint. RESULTS AJU-A51 significantly reduced HbA1c levels (from 7.93% ± 0.82% to 7.11% ± 0.61%) compared with linagliptin plus placebo (from 7.80% ± 0.71% to 7.87% ± 0.94%), with a least squares mean difference of -0.88% (95% confidence interval -1.07 to -0.68; p < 0.0001) at 24 weeks. The AJU-A51 group had a significantly higher proportion of patients who achieved HbA1c <7.0% at Week 24 than the control group (44.8% vs. 18.6%; p < 0.001). The AJU-A51 group maintained glycaemic efficacy up to 52 weeks, whereas the control group showed a substantial reduction in HbA1c after switching to AJU-A51 in the extension study period. Both groups had similar incidence of treatment-emergent and serious adverse events, and no cases of symptomatic hypoglycaemia were reported. CONCLUSIONS Dapagliflozin and linagliptin FDC (AJU-A51) showed potent glucose-lowering effects, with good tolerability, in patients with T2D who had poor glycaemic control on metformin and linagliptin (ClinicalTrials.gov [NCT06329674]).
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Affiliation(s)
- Jun Hwa Hong
- Department of Internal Medicine, Daejeon Eulji Medical Center, Eulji University, Daejeon, Korea
| | - Myung Jin Kim
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Korea
| | - Kyung Wan Min
- Department of Internal Medicine, Eulji University School of Medicine, Seoul, Korea
| | - Jong Chul Won
- Department of Internal Medicine, Sanggye Paik Hospital, Cardiovascular and Metabolic Disease Center, Inje University College of Medicine, Seoul, Korea
| | - Tae Nyun Kim
- Department of Internal Medicine, Cardiovascular and Metabolic Disease Center, Inje University College of Medicine, Busan, Korea
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jun Goo Kang
- Department of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Jae Hyeon Kim
- Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jung Hwan Park
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Bon Jeong Ku
- Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Chang Beom Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Sang Yong Kim
- Department of Internal Medicine, Chosun University Hospital, Chosun University College of Medicine, Gwangju, Korea
| | - Ho Sang Shon
- Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Woo Je Lee
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Korea
| | - Joong-Yeol Park
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Korea
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Lugo-Palacios DG, Bidulka P, O'Neill S, Carroll O, Basu A, Adler A, DíazOrdaz K, Briggs A, Grieve R. Going beyond randomised controlled trials to assess treatment effect heterogeneity across target populations. HEALTH ECONOMICS 2024. [PMID: 39327529 DOI: 10.1002/hec.4903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 08/07/2024] [Accepted: 09/02/2024] [Indexed: 09/28/2024]
Abstract
Methods have been developed for transporting evidence from randomised controlled trials (RCTs) to target populations. However, these approaches allow only for differences in characteristics observed in the RCT and real-world data (overt heterogeneity). These approaches do not recognise heterogeneity of treatment effects (HTE) according to unmeasured characteristics (essential heterogeneity). We use a target trial design and apply a local instrumental variable (LIV) approach to electronic health records from the Clinical Practice Research Datalink, and examine both forms of heterogeneity in assessing the comparative effectiveness of two second-line treatments for type 2 diabetes mellitus. We first estimate individualised estimates of HTE across the entire target population defined by applying eligibility criteria from national guidelines (n = 13,240) within an overall target trial framework. We define a subpopulation who meet a published RCT's eligibility criteria ('RCT-eligible', n = 6497), and a subpopulation who do not ('RCT-ineligible', n = 6743). We compare average treatment effects for pre-specified subgroups within the RCT-eligible subpopulation, the RCT-ineligible subpopulation, and within the overall target population. We find differences across these subpopulations in the magnitude of subgroup-level treatment effects, but that the direction of estimated effects is stable. Our results highlight that LIV methods can provide useful evidence about treatment effect heterogeneity including for those subpopulations excluded from RCTs.
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Affiliation(s)
- David G Lugo-Palacios
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Patrick Bidulka
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Stephen O'Neill
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Orlagh Carroll
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Anirban Basu
- The Comparative Health Outcomes, Policy & Economics (CHOICE) Institute, University of Washington School of Pharmacy, Seattle, Washington, USA
| | - Amanda Adler
- Diabetes Trials Unit, The Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, OCDEM Building Churchill Hospital, Headington, UK
| | - Karla DíazOrdaz
- Department of Statistical Science, University College London, London, UK
| | - Andrew Briggs
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Richard Grieve
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
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Drygalski K, Maciejczyk M, Miksza U, Ustymowicz A, Godzień J, Buczyńska A, Chomentowski A, Walczak I, Pietrowska K, Siemińska J, Pawlukianiec C, Czajkowski P, Fiedorczuk J, Moroz M, Modzelewska B, Zalewska A, Kutryb-Zając B, Kleszczewski T, Ciborowski M, Hady HR, Foretz M, Adamska-Patruno E. New Application of an Old Drug: Anti-Diabetic Properties of Phloroglucinol. Int J Mol Sci 2024; 25:10291. [PMID: 39408621 PMCID: PMC11477119 DOI: 10.3390/ijms251910291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2024] [Revised: 09/16/2024] [Accepted: 09/18/2024] [Indexed: 10/20/2024] Open
Abstract
Phloroglucinol (PHG), an analgesic and spasmolytic drug, shows promise in preventing high-fat-diet (HFD)-induced non-alcoholic fatty liver disease (NAFLD) and insulin resistance. In Wistar rats, 10 weeks of PHG treatment did not prevent HFD-induced weight gain but significantly mitigated fasting hyperglycemia, impaired insulin responses, and liver steatosis. This protective effect was not linked to hepatic lipogenesis or AMP-activated protein kinase (AMPK) activation. Instead, PHG improved mitochondrial function by reducing oxidative stress, enhancing ATP production, and increasing anti-oxidant enzyme activity. PHG also relaxed gastric smooth muscles via potassium channel activation and nitric oxide (NO) signaling, potentially delaying gastric emptying. A pilot intervention in pre-diabetic men confirmed PHG's efficacy in improving postprandial glycemic control and altering lipid metabolism. These findings suggest PHG as a potential therapeutic for NAFLD and insulin resistance, acting through mechanisms involving mitochondrial protection, anti-oxidant activity, and gastric motility modulation. Further clinical evaluation is warranted to explore PHG's full therapeutic potential.
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Affiliation(s)
- Krzysztof Drygalski
- Department of Hypertension and Diabetology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | - Mateusz Maciejczyk
- Department of Hygiene, Epidemiology and Ergonomics, Medical University of Bialystok, 15-089 Bialystok, Poland;
| | - Urszula Miksza
- Clinical Research Support Centre, Medical University of Bialystok, 15-089 Bialystok, Poland; (U.M.); (P.C.); (J.F.); (M.M.); (E.A.-P.)
| | - Andrzej Ustymowicz
- Department of Radiology, Medical University of Bialystok, 15-089 Bialystok, Poland
| | - Joanna Godzień
- Clinical Research Centre, Medical University of Bialystok, 15-089 Bialystok, Poland (A.B.); (K.P.); (J.S.); (M.C.)
| | - Angelika Buczyńska
- Clinical Research Centre, Medical University of Bialystok, 15-089 Bialystok, Poland (A.B.); (K.P.); (J.S.); (M.C.)
| | - Andrzej Chomentowski
- Department of Biophysics, Medical University of Bialystok, 15-089 Bialystok, Poland; (A.C.); (B.M.); (T.K.)
| | - Iga Walczak
- Department of Biochemistry, Medical University of Gdansk, 80-214 Gdansk, Poland; (I.W.); (B.K.-Z.)
| | - Karolina Pietrowska
- Clinical Research Centre, Medical University of Bialystok, 15-089 Bialystok, Poland (A.B.); (K.P.); (J.S.); (M.C.)
| | - Julia Siemińska
- Clinical Research Centre, Medical University of Bialystok, 15-089 Bialystok, Poland (A.B.); (K.P.); (J.S.); (M.C.)
| | - Cezary Pawlukianiec
- Students Scientific Club “Biochemistry of Civilization Diseases”, Department of Hygiene, Epidemiology and Ergonomics, Medical University of Bialystok, 15-089 Bialystok, Poland
| | - Przemysław Czajkowski
- Clinical Research Support Centre, Medical University of Bialystok, 15-089 Bialystok, Poland; (U.M.); (P.C.); (J.F.); (M.M.); (E.A.-P.)
| | - Joanna Fiedorczuk
- Clinical Research Support Centre, Medical University of Bialystok, 15-089 Bialystok, Poland; (U.M.); (P.C.); (J.F.); (M.M.); (E.A.-P.)
| | - Monika Moroz
- Clinical Research Support Centre, Medical University of Bialystok, 15-089 Bialystok, Poland; (U.M.); (P.C.); (J.F.); (M.M.); (E.A.-P.)
| | - Beata Modzelewska
- Department of Biophysics, Medical University of Bialystok, 15-089 Bialystok, Poland; (A.C.); (B.M.); (T.K.)
| | - Anna Zalewska
- Experimental Dentistry Laboratory, Medical University of Bialystok, 15-089 Bialystok, Poland;
| | - Barbara Kutryb-Zając
- Department of Biochemistry, Medical University of Gdansk, 80-214 Gdansk, Poland; (I.W.); (B.K.-Z.)
| | - Tomasz Kleszczewski
- Department of Biophysics, Medical University of Bialystok, 15-089 Bialystok, Poland; (A.C.); (B.M.); (T.K.)
| | - Michał Ciborowski
- Clinical Research Centre, Medical University of Bialystok, 15-089 Bialystok, Poland (A.B.); (K.P.); (J.S.); (M.C.)
| | - Hady Razak Hady
- Clinical Department of General and Endocrine Surgery, Medical University of Bialystok, 15-089 Bialystok, Poland
| | - Marc Foretz
- Institut Cochin, Université Paris Cité, CNRS, INSERM, F-75014 Paris, France;
| | - Edyta Adamska-Patruno
- Clinical Research Support Centre, Medical University of Bialystok, 15-089 Bialystok, Poland; (U.M.); (P.C.); (J.F.); (M.M.); (E.A.-P.)
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Zheng Z, Zong Y, Ma Y, Tian Y, Pang Y, Zhang C, Gao J. Glucagon-like peptide-1 receptor: mechanisms and advances in therapy. Signal Transduct Target Ther 2024; 9:234. [PMID: 39289339 PMCID: PMC11408715 DOI: 10.1038/s41392-024-01931-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 06/17/2024] [Accepted: 07/16/2024] [Indexed: 09/19/2024] Open
Abstract
The glucagon-like peptide-1 (GLP-1) receptor, known as GLP-1R, is a vital component of the G protein-coupled receptor (GPCR) family and is found primarily on the surfaces of various cell types within the human body. This receptor specifically interacts with GLP-1, a key hormone that plays an integral role in regulating blood glucose levels, lipid metabolism, and several other crucial biological functions. In recent years, GLP-1 medications have become a focal point in the medical community due to their innovative treatment mechanisms, significant therapeutic efficacy, and broad development prospects. This article thoroughly traces the developmental milestones of GLP-1 drugs, from their initial discovery to their clinical application, detailing the evolution of diverse GLP-1 medications along with their distinct pharmacological properties. Additionally, this paper explores the potential applications of GLP-1 receptor agonists (GLP-1RAs) in fields such as neuroprotection, anti-infection measures, the reduction of various types of inflammation, and the enhancement of cardiovascular function. It provides an in-depth assessment of the effectiveness of GLP-1RAs across multiple body systems-including the nervous, cardiovascular, musculoskeletal, and digestive systems. This includes integrating the latest clinical trial data and delving into potential signaling pathways and pharmacological mechanisms. The primary goal of this article is to emphasize the extensive benefits of using GLP-1RAs in treating a broad spectrum of diseases, such as obesity, cardiovascular diseases, non-alcoholic fatty liver disease (NAFLD), neurodegenerative diseases, musculoskeletal inflammation, and various forms of cancer. The ongoing development of new indications for GLP-1 drugs offers promising prospects for further expanding therapeutic interventions, showcasing their significant potential in the medical field.
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Affiliation(s)
- Zhikai Zheng
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Institute of Microsurgery on Extremities, and Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Yao Zong
- Centre for Orthopaedic Research, Medical School, The University of Western Australia, Nedlands, WA, 6009, Australia
| | - Yiyang Ma
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Institute of Microsurgery on Extremities, and Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Yucheng Tian
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Institute of Microsurgery on Extremities, and Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Yidan Pang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Institute of Microsurgery on Extremities, and Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Changqing Zhang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Institute of Microsurgery on Extremities, and Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Junjie Gao
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
- Institute of Microsurgery on Extremities, and Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
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9
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Schwartz SS, Corkey BE, R Gavin J, DeFronzo RA, Herman ME. Advances and counterpoints in type 2 diabetes. What is ready for translation into real-world practice, ahead of the guidelines. BMC Med 2024; 22:356. [PMID: 39227924 PMCID: PMC11373437 DOI: 10.1186/s12916-024-03518-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 07/08/2024] [Indexed: 09/05/2024] Open
Abstract
This review seeks to address major gaps and delays between our rapidly evolving body of knowledge on type 2 diabetes and its translation into real-world practice. Through updated and improved best practices informed by recent evidence and described herein, we stand to better attain A1c targets, help preserve beta cell integrity and moderate glycemic variability, minimize treatment-emergent hypoglycemia, circumvent prescribing to "treatment failure," and prevent long-term complications. The first topic addressed in this review concerns updates in the 2023 and 2024 diabetes treatment guidelines for which further elaboration can help facilitate integration into routine care. The second concerns advances in diabetes research that have not yet found their way into guidelines, though they are endorsed by strong evidence and are ready for real-world use in appropriate patients. The final theme addresses lingering misconceptions about the underpinnings of type 2 diabetes-fundamental fallacies that continue to be asserted in the textbooks and continuing medical education upon which physicians build their approaches. A corrected and up-to-date understanding of the disease state is essential for practitioners to both conceptually and translationally manage initial onset through late-stage type 2 diabetes.
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Affiliation(s)
- Stanley S Schwartz
- Main Line Health, Wynnewood, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara E Corkey
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - James R Gavin
- Emory University School of Medicine, Atlanta, GA, USA
| | - Ralph A DeFronzo
- Department of Medicine, Diabetes Division, University of Texas Health Science Center, South Texas. Veterans Health Care System and Texas Diabetes Institute, 701 S. Zarzamoro, San Antonio, TX, 78207, USA
| | - Mary E Herman
- Social Alchemy: Building Physician Competency Across the Globe, 5 Ave Sur #36, Antigua, Sacatepéquez, Guatemala.
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10
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Abdul-Ghani M, Maffei P, DeFronzo RA. Managing insulin resistance: the forgotten pathophysiological component of type 2 diabetes. Lancet Diabetes Endocrinol 2024; 12:674-680. [PMID: 39098317 DOI: 10.1016/s2213-8587(24)00127-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/15/2024] [Accepted: 04/29/2024] [Indexed: 08/06/2024]
Abstract
Glucagon-like peptide-1 (GLP-1) receptor agonists have gained widespread use in the treatment of individuals with type 2 diabetes because of their potent weight loss promoting effect, ability to augment β-cell function, and cardiovascular protective effects. However, despite causing impressive weight loss, GLP-1 receptor agonists do not normalise insulin sensitivity in people with type 2 diabetes and obesity, and the long-term effects of this class of antidiabetic medication on muscle mass, frailty, and bone density have been poorly studied. Although GLP-1 receptor agonists improve insulin sensitivity secondary to weight loss, the only true direct insulin-sensitising drugs are thiazolidinediones. Because of side-effects associated with type 2 diabetes therapy, these drugs have not gained widespread use. In lieu of the important role of insulin resistance in the cause of type 2 diabetes and in the pathogenesis of atherosclerotic cardiovascular disease in type 2 diabetes, development of potent insulin-sensitising drugs that can be used in combination with GLP-1 receptor agonists remains a large unmet need in the management of individuals with type 2 diabetes.
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11
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Su J, Xu J, Hu S, Ye H, Xie L, Ouyang S. Advances in small-molecule insulin secretagogues for diabetes treatment. Biomed Pharmacother 2024; 178:117179. [PMID: 39059347 DOI: 10.1016/j.biopha.2024.117179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/16/2024] [Accepted: 07/22/2024] [Indexed: 07/28/2024] Open
Abstract
Diabetes, a metabolic disease caused by abnormally high levels of blood glucose, has a high prevalence rate worldwide and causes a series of complications, including coronary heart disease, stroke, peripheral vascular disease, end-stage renal disease, and retinopathy. Small-molecule compounds have been developed as drugs for the treatment of diabetes because of their oral advantages. Insulin secretagogues are a class of small-molecule drugs used to treat diabetes, and include sulfonylureas, non-sulfonylureas, glucagon-like peptide-1 receptor agonists, dipeptidyl peptidase 4 inhibitors, and other novel small-molecule insulin secretagogues. However, many small-molecule compounds cause different side effects, posing huge challenges to drug monotherapy and drug selection. Therefore, the use of different small-molecule drugs must be improved. This article reviews the mechanism, advantages, limitations, and potential risks of small-molecule insulin secretagogues to provide future research directions on small-molecule drugs for the treatment of diabetes.
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Affiliation(s)
- Jingqian Su
- Key Laboratory of Microbial Pathogenesis and Interventions of Fujian Province University, Key Laboratory of Innate Immune Biology of Fujian Province, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of the Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou 350117, China.
| | - Jingran Xu
- Key Laboratory of Microbial Pathogenesis and Interventions of Fujian Province University, Key Laboratory of Innate Immune Biology of Fujian Province, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of the Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Shan Hu
- Key Laboratory of Microbial Pathogenesis and Interventions of Fujian Province University, Key Laboratory of Innate Immune Biology of Fujian Province, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of the Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Hui Ye
- Key Laboratory of Microbial Pathogenesis and Interventions of Fujian Province University, Key Laboratory of Innate Immune Biology of Fujian Province, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of the Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Lian Xie
- Key Laboratory of Microbial Pathogenesis and Interventions of Fujian Province University, Key Laboratory of Innate Immune Biology of Fujian Province, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of the Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Songying Ouyang
- Key Laboratory of Microbial Pathogenesis and Interventions of Fujian Province University, Key Laboratory of Innate Immune Biology of Fujian Province, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of the Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou 350117, China.
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12
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Bouchi R, Kondo T, Ohta Y, Goto A, Tanaka D, Satoh H, Yabe D, Nishimura R, Harada N, Kamiya H, Suzuki R, Yamauchi T. A consensus statement from the Japan Diabetes Society: A proposed algorithm for pharmacotherapy in people with type 2 diabetes - 2nd edition (English version). J Diabetes Investig 2024; 15:1326-1342. [PMID: 38988282 PMCID: PMC11363114 DOI: 10.1111/jdi.14202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 07/12/2024] Open
Abstract
This algorithm was issued for the appropriate use of drugs for the treatment of type 2 diabetes mellitus in Japan. The revisions include safety considerations, fatty liver disease as a comorbidity to be taken into account and the position of tirzepatide.
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Affiliation(s)
- Ryotaro Bouchi
- Diabetes and Metabolism Information Center, Diabetes Research CenterNational Center for Global Health and MedicineTokyoJapan
| | - Tatsuya Kondo
- Department of Diabetes, Metabolism and EndocrinologyKumamoto University HospitalKumamotoJapan
| | - Yasuharu Ohta
- Division of Endocrinology, Metabolism, Hematological Sciences and TherapeuticsYamaguchi University Graduate School of MedicineYamaguchiJapan
| | - Atsushi Goto
- Department of Health Data Science, Graduate School of Data ScienceYokohama City UniversityYokohamaJapan
| | - Daisuke Tanaka
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Hiroaki Satoh
- Department of Diabetes and EndocrinologyJuntendo University Urayasu HospitalChibaJapan
| | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical ImmunologyGifu University Graduate School of MedicineGifuJapan
| | - Rimei Nishimura
- Division of Diabetes, Metabolism and EndocrinologyJikei University School of MedicineTokyoJapan
| | - Norio Harada
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Hideki Kamiya
- Division of Diabetes, Department of Internal MedicineAichi Medical UniversityNagakuteJapan
| | - Ryo Suzuki
- Department of Diabetes, Metabolism and EndocrinologyTokyo Medical UniversityTokyoJapan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic DiseasesUniversity of Tokyo Graduate School of MedicineTokyoJapan
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13
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Zhang W, Huang Y, Zhou Z, Xie P, Zhuang X, Jiang J, Liao X. Cardiac autonomic neuropathy modified the association between obesity and hypoglycemia in type 2 diabetes. Endocrine 2024; 85:1213-1221. [PMID: 38904908 DOI: 10.1007/s12020-024-03728-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 02/02/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND Previous studies have shown that increasing body mass index (BMI) was associated with decreased hypoglycemia in type 2 diabetes, but it remains uncertain whether this finding could be applied to patients with and without cardiac autonomic neuropathy (CAN). METHODS The study included 7789 participants with type 2 diabetes from action to control cardiovascular risk in diabetes (ACCORD) trail. CAN was defined as SDNN < 8.2 ms and RMSSD < 8.0 ms. Obesity was defined as BMI ≥ 30 kg/m2. Outcomes were identified as severe hypoglycemia requiring any assistance (HAA) or requiring medical assistance (HMA). We assessed the association between obesity and severe hypoglycemia in type 2 diabetes with or without CAN using COX regression models adjusted for baseline characteristics. RESULTS Over a median follow-up of 4.7 years, a total of 893 participants developed HAA and 584 participants developed HMA. Compared with non-obesity, obesity was associated with lower risk of severe hypoglycemia (HAA: hazard ratio [HR] 0.51, 95% confidence interval [CI] 0.38-0.68, P < 0.001; HMA: HR 0.57, 95% CI 0.40-0.82, P = 0.002) in CAN present group, but not in CAN absent group (HAA: HR 0.98, 95% CI 0.83-1.16, P = 0.830; HMA: HR 0.97, 95% CI 0.79-1.19, P = 0.754). Similarly, increasing BMI was associated with reduced severe hypoglycemic events in participants with CAN, but not in participants without CAN. CONCLUSIONS CAN modifies the association between obesity and hypoglycemia in type 2 diabetes. Type 2 diabetic individuals with CAN who are under weight control should pay attention to hypoglycemic events. TRIAL REGISTRY http://www. CLINICALTRIALS gov . Unique identifier: NCT00000620.
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Affiliation(s)
- Wenjing Zhang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Yiquan Huang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Ziwei Zhou
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Peihan Xie
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Xiaodong Zhuang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China
| | - Jingzhou Jiang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China.
| | - Xinxue Liao
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation, Department of Cardiology, Sun Yat-Sen University, Guangzhou, China.
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14
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Kim NH, Moon JS, Lee YH, Cho HC, Kwak SH, Lim S, Moon MK, Kim DL, Kim TH, Ko E, Lee J, Kim SG. Efficacy and tolerability of initial triple combination therapy with metformin, dapagliflozin and saxagliptin compared with stepwise add-on therapy in drug-naïve patients with type 2 diabetes (TRIPLE-AXEL study): A multicentre, randomized, 104-week, open-label, active-controlled trial. Diabetes Obes Metab 2024; 26:3642-3652. [PMID: 38853720 DOI: 10.1111/dom.15705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 05/13/2024] [Accepted: 05/23/2024] [Indexed: 06/11/2024]
Abstract
AIM To evaluate the efficacy and tolerability of an initial triple combination therapy (TCT) compared with conventional stepwise add-on therapy (SAT) in patients with newly diagnosed type 2 diabetes (T2D). MATERIALS AND METHODS This multicentre, randomized, 104-week, open-label trial randomized 105 patients with drug-naïve T2D (with HbA1c level ≥ 8.0%, < 11.0%) to the TCT (1000 mg of metformin, 10 mg of dapagliflozin and 5 mg of saxagliptin once daily) or SAT (initiated with metformin, followed by glimepiride and sitagliptin) groups. The primary outcome was the proportion of patients who achieved an HbA1c level of less than 6.5% without hypoglycaemia, weight gain of 5% or higher, or discontinuation of drugs because of adverse events at week 104. RESULTS HbA1c reduction from baseline at week 104 was similar between the groups (the least squares mean change was -2.56% in the TCT group vs. -2.75% in the SAT group). The primary outcome was achieved in 39.0% and 17.1% of the TCT and SAT groups, respectively, with a risk difference of 22.0 (95% confidence interval 3.0, 40.8; P = .027). HbA1c level less than 6.5% at week 104 was 46.3% in both the TCT and SAT groups, whereas the incidence of hypoglycaemia, weight gain, or discontinuation of drugs was 16.7% and 62.0% in the TCT and SAT groups, respectively (P < .001). TCT was well-tolerated and had fewer adverse events than SAT. CONCLUSIONS Among newly diagnosed patients with T2D, initial TCT effectively lowered HbA1c levels with higher tolerability and safety than SAT for 104 weeks, suggesting a novel strategy for initial combination therapy in T2D patients.
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Affiliation(s)
- Nam Hoon Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Yong-Ho Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Ho Chan Cho
- Department of Endocrinology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Dong-Lim Kim
- Department of Internal Medicine, Konkuk University School of Medicine, Seoul, Korea
| | - Tae Ho Kim
- Department of Internal Medicine, Seoul Medical Center, Seoul, Korea
| | - Eunvin Ko
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Sin Gon Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
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15
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Khunti K, Zaccardi F, Amod A, Aroda VR, Aschner P, Colagiuri S, Mohan V, Chan JCN. Glycaemic control is still central in the hierarchy of priorities in type 2 diabetes management. Diabetologia 2024:10.1007/s00125-024-06254-w. [PMID: 39155282 DOI: 10.1007/s00125-024-06254-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 07/15/2024] [Indexed: 08/20/2024]
Abstract
A panel of primary care and diabetes specialists conducted focused literature searches on the current role of glycaemic control in the management of type 2 diabetes and revisited the evolution of evidence supporting the importance of early and intensive blood glucose control as a central strategy to reduce the risk of adverse long-term outcomes. The optimal approach to type 2 diabetes management has evolved over time as the evidence base has expanded from data from trials that established the role of optimising glycaemic control to recent data from cardiovascular outcomes trials (CVOTs) demonstrating organ-protective effects of newer glucose-lowering drugs (GLDs). The results from these CVOTs were derived mainly from people with type 2 diabetes and prior cardiovascular and kidney disease or multiple risk factors. In more recent years, earlier diagnosis in high-risk individuals has contributed to the large proportion of people with type 2 diabetes who do not have complications. In these individuals, a legacy effect of early and optimal control of blood glucose and cardiometabolic risk factors has been proven to reduce cardiovascular and kidney disease events and all-cause mortality. As there is a lack of RCTs investigating the potential synergistic effects of intensive glucose control and organ-protective effects of newer GLDs, this article re-evaluates the evolution of the scientific evidence and highlights the importance of integrating glycaemic control as a pivotal early therapeutic goal in most people with type 2 diabetes, while targeting existing cardiovascular and kidney disease. We also emphasise the importance of implementing multifactorial management using a multidisciplinary approach to facilitate regular review, patient empowerment and the possibility of tailoring interventions to account for the heterogeneity of type 2 diabetes.
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Affiliation(s)
- Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK.
| | | | - Aslam Amod
- Department of Endocrinology, Nelson Mandela School of Medicine and Life Chatsmed Garden Hospital, Durban, South Africa
| | - Vanita R Aroda
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pablo Aschner
- Endocrinology Unit, Javeriana University and San Ignacio University Hospital, Bogotá, Colombia
| | - Stephen Colagiuri
- Boden Collaboration, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Viswanathan Mohan
- Department of Diabetology, Dr Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
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16
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Cheung JTK, Yang A, Wu H, Lau ESH, Lui J, Kong APS, Ma RCW, Luk AOY, Chow E, Chan JCN. Association of dipeptidyl peptidase-4 inhibitor initiation at glycated haemoglobin <7.5% with reduced major clinical events mediated by low glycated haemoglobin variability. Diabetes Obes Metab 2024; 26:3339-3351. [PMID: 38802991 DOI: 10.1111/dom.15662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/06/2024] [Accepted: 05/07/2024] [Indexed: 05/29/2024]
Abstract
AIM Therapeutic inertia, hypoglycaemia and poor treatment persistence can lead to glycaemic fluctuation and poor outcomes in type 2 diabetes (T2D). We compared glycated haemoglobin (HbA1c) variability, insulin initiation, severe hypoglycaemia and clinical events in patients with T2D initiated dipeptidyl peptidase-4 inhibitors (DPP4is) at low versus high HbA1c thresholds. METHODS Using territory-wide electronic medical records in Hong Kong, we curated a propensity score-matched cohort of patients initiated DPP4i at HbA1c <7.5% versus ≥7.5% in 2007-2019. We expressed the HbA1c variability score (HVS) as a proportion of HbA1c varied by ≥0.5% compared with preceding values. We used the Cox model to compare the risks of insulin initiation and clinical outcomes, adjusted for time-varying variables between the two groups. Mediation analysis estimated the effects of HbA1c variability on outcomes. RESULTS Among 6874 insulin-naïve patients who initiated DPP4i, 88.7% were treated with metformin and 79.6% with sulphonylureas at baseline (54.9% men; mean age 65.2 ± 11.4 years). After a median follow-up of 4.6 years, compared with the high-threshold plus high-HVS group (≥50%), the low-threshold plus low-HVS (<50%) group had reduced hazard ratios (95% confidence interval) of insulin initiation (0.35, 0.31-0.40), severe hypoglycaemia (0.38, 0.34-0.44), major adverse cardiovascular endpoints (0.76, 0.66-0.88), heart failure (0.42, 0.36-0.49), end-stage kidney disease (0.65, 0.36-0.49) and mortality (0.45, 0.35-0.57). Reduced HbA1c variability explained 31.1%-81.2% of the effect size of DPP4i initiation at HbA1c <7.5% versus ≥7.5% on outcomes. CONCLUSIONS In Chinese patients with T2D, avoiding therapeutic inertia with intensified glycaemic control at HbA1c <7.5% using drugs with low risk of hypoglycaemia and good tolerability, such as DPP4i, delayed insulin treatment, reduced HbA1c variability and improved clinical events.
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Affiliation(s)
- Johnny T K Cheung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Eric S H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Juliana Lui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
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17
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MacDonald BJ, Turgeon RD, McCormack J. Metformin for Type 2 diabetes mellitus. Acad Emerg Med 2024; 31:832-834. [PMID: 38661224 DOI: 10.1111/acem.14922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/26/2024]
Affiliation(s)
- Blair J MacDonald
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ricky D Turgeon
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - James McCormack
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
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18
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Kahn SE, Deanfield JE, Jeppesen OK, Emerson SS, Boesgaard TW, Colhoun HM, Kushner RF, Lingvay I, Burguera B, Gajos G, Horn DB, Hramiak IM, Jastreboff AM, Kokkinos A, Maeng M, Matos ALS, Tinahones FJ, Lincoff AM, Ryan DH. Effect of Semaglutide on Regression and Progression of Glycemia in People With Overweight or Obesity but Without Diabetes in the SELECT Trial. Diabetes Care 2024; 47:1350-1359. [PMID: 38907683 PMCID: PMC11282386 DOI: 10.2337/dc24-0491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 04/26/2024] [Indexed: 06/24/2024]
Abstract
OBJECTIVE To determine whether semaglutide slows progression of glycemia in people with cardiovascular disease and overweight or obesity but without diabetes. RESEARCH DESIGN AND METHODS In a multicenter, double-blind trial, participants aged ≥45 years, with BMI ≥27 kg/m2, and with preexisting cardiovascular disease but without diabetes (HbA1c <6.5%) were randomized to receive subcutaneous semaglutide (2.4 mg weekly) or placebo. Major glycemic outcomes were HbA1c and proportions achieving biochemical normoglycemia (HbA1c <5.7%) and progressing to biochemical diabetes (HbA1c ≥6.5%). RESULTS Of 17,604 participants, 8,803 were assigned to semaglutide and 8,801 to placebo. Mean ± SD intervention exposure was 152 ± 56 weeks and follow-up 176 ± 40 weeks. In both treatment arms mean nadir HbA1c for participants was at 20 weeks. Thereafter, HbA1c increased similarly in both arms, with a mean difference of -0.32 percentage points (95% CI -0.33 to -0.30; -3.49 mmol/mol [-3.66 to -3.32]) and with the difference favoring semaglutide throughout the study (P < 0.0001). Body weight plateaued at 65 weeks and was 8.9% lower with semaglutide. At week 156, a greater proportion treated with semaglutide were normoglycemic (69.5% vs. 35.8%; P < 0.0001) and a smaller proportion had biochemical diabetes by week 156 (1.5% vs. 6.9%; P < 0.0001). The number needed to treat was 18.5 to prevent a case of diabetes. Both regression and progression were dependent on glycemia at baseline, with the magnitude of weight reduction important in mediating 24.5% of progression and 27.1% of regression. CONCLUSIONS In people with preexisting cardiovascular disease and overweight or obesity but without diabetes, long-term semaglutide increases regression to biochemical normoglycemia and reduces progression to biochemical diabetes but does not slow glycemic progression over time.
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Affiliation(s)
- Steven E. Kahn
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
| | - John E. Deanfield
- Institute of Cardiovascular Science, University College London, London, U.K
| | | | - Scott S. Emerson
- Department of Biostatistics, University of Washington, Seattle, WA
| | | | - Helen M. Colhoun
- Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, U.K
| | - Robert F. Kushner
- Department of Medicine, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Ildiko Lingvay
- Department of Internal Medicine/Endocrinology and Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Grzegorz Gajos
- Department of Coronary Artery Disease and Heart Failure, Jagiellonian University Medical College, Kraków, Poland
| | - Deborah Bade Horn
- Department of Surgery, John P. and Katherine G. McGovern Medical School, University of Texas, Houston, TX
| | | | - Ania M. Jastreboff
- Endocrinology and Metabolism, Department of Medicine, and Pediatric Endocrinology, Department of Pediatrics, Yale School of Medicine, New Haven, CT
| | - Alexander Kokkinos
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Michael Maeng
- Department of Cardiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Francisco J. Tinahones
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA Plataforma BIONAND), CIBERobn, and Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga University, Málaga, Spain
| | - A. Michael Lincoff
- Department of Cardiovascular Medicine, Cleveland Clinic, and Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH
| | - Donna H. Ryan
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
- Pennington Biomedical Research Center, Baton Rouge, LA
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19
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Hu S, Shi C, Ma Y, Wang S, Gu S, Qi C, Fan G. Cost-utility analysis and drug pricing for tirzepatide for type 2 diabetes in the Chinese market compared with semaglutide. Diabetes Obes Metab 2024; 26:3176-3190. [PMID: 38738340 DOI: 10.1111/dom.15645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/22/2024] [Accepted: 04/22/2024] [Indexed: 05/14/2024]
Abstract
AIM To investigate the most matchable price of tirzepatide (TIRZ) compared with semaglutide (SEMA) in the treatment of type 2 diabetes in China. METHODS The patient cohort and clinical efficacy data were derived from the SURPASS-2 trial. Cost-utility analysis and a binary search were performed to identify the most matchable price of TIRZ from a Chinese healthcare provider's perspective. RESULTS After lifetime simulation, the quality-adjusted life years of TIRZ 5, 10, 15 mg and SEMA 1 mg were 11.17, 11.21, 11.27 and 11.12 years, respectively. Despite an initial assumption that the annual cost of TIRZ equals that of SEMA, our analysis revealed that TIRZ is probably more cost-effective than SEMA. A thorough evaluation of pricing showed that the cost ranges for TIRZ at doses of 5, 10 and 15 mg were $1628.61-$1846.23, $1738.40-$2140.95 and $1800.30-$2430.81, respectively. After adjustment in the univariate sensitivity analysis, the cost ranges for TIRZ 5, 10 and 15 mg were $1542.68-$1757.57, $1573.00-$1967.16 and $1576.54-$2133.96, respectively. These cost intervals were validated through robust probabilistic sensitivity analysis and scenario analysis, except for the cost range for TIRZ 5 mg. CONCLUSIONS This study shows that, using SEMA as a reference, the annual costs for TIRZ 10 and 15 mg are $1573.00-$1967.16 and $1576.54-$2133.96, respectively, for patients with type 2 diabetes in China.
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Affiliation(s)
- Shanshan Hu
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenyang Shi
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhang Ma
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuowen Wang
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengying Gu
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chendong Qi
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guorong Fan
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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20
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Landgraf R, Aberle J, Birkenfeld AL, Gallwitz B, Kellerer M, Klein HH, Müller-Wieland D, Nauck MA, Wiesner T, Siegel E. Therapy of Type 2 Diabetes. Exp Clin Endocrinol Diabetes 2024; 132:340-388. [PMID: 38599610 DOI: 10.1055/a-2166-6755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Affiliation(s)
| | - Jens Aberle
- Division of Endocrinology and Diabetology, University Obesity Centre Hamburg, University Hospital Hamburg-Eppendorf, Germany
| | | | - Baptist Gallwitz
- Department of Internal Medicine IV, Diabetology, Endocrinology, Nephrology, University Hospital Tübingen, Germany
| | - Monika Kellerer
- Department of Internal Medicine I, Marienhospital, Stuttgart, Germany
| | - Harald H Klein
- MVZ for Diagnostics and Therapy Bochum, Bergstraße 26, 44791 Bochum, Germany
| | - Dirk Müller-Wieland
- Department of Internal Medicine I, Aachen University Hospital RWTH, Aachen, Germany
| | - Michael A Nauck
- Diabetology, Endocrinology and Metabolism Section, Department of Internal Medicine I, St. Josef Hospital, Ruhr University, Bochum, Germany
| | | | - Erhard Siegel
- Department of Internal Medicine - Gastroenterology, Diabetology/Endocrinology and Nutritional Medicine, St. Josefkrankenhaus Heidelberg GmbH, Heidelberg, Germany
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21
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Bouchi R, Kondo T, Ohta Y, Goto A, Tanaka D, Satoh H, Yabe D, Nishimura R, Harada N, Kamiya H, Suzuki R, Yamauchi T. A consensus statement from the Japan Diabetes Society (JDS): a proposed algorithm for pharmacotherapy in people with type 2 diabetes-2nd Edition (English version). Diabetol Int 2024; 15:327-345. [PMID: 39101173 PMCID: PMC11291844 DOI: 10.1007/s13340-024-00723-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 02/08/2024] [Indexed: 08/06/2024]
Abstract
The Japan Diabetes Society (JDS) adopted a sweeping decision to release consensus statements on relevant issues in diabetes management that require updating from time to time and launched a "JDS Committee on Consensus Statement Development." In March 2020, the committee's first consensus statement on "Medical Nutrition Therapy and Dietary Counseling for People with Diabetes" was published. In September 2022, a second consensus "algorithm for pharmacotherapy in people with type 2 diabetes" was proposed. In developing an algorithm for diabetes pharmacotherapy in people with type 2 diabetes, the working concept was that priority should be given to selecting such medications as would appropriately address the diabetes pathology in each patient while simultaneously weighing the available evidence for these medications and the prescribing patterns in clinical practice in Japan. These consensus statements are intended to present the committee's take on diabetes management in Japan, based on the evidence currently available for each of the issues addressed. It is thus hoped that practicing diabetologists will not fail to consult these statements to provide the best available practice in their respective clinical settings. Given that the persistent dual GIP/GLP-1 receptor agonist tirzepatide was approved in April 2023, these consensus statements have been revised1). In this revision, specifically, tirzepatide was added to the end of [likely involving insulin resistance] of "Obese patients" in Step 1: "Select medications to address the diabetes pathology involved" in Fig. 2. While the sentence, "Insulin insufficiency and resistance can be assessed by referring to the various indices listed in the JDS 'Guide to Diabetes Management.' was mentioned in the previous edition as well, "While insulin resistance is analogized based on BMI, abdominal obesity, and visceral fat accumulation, an assessment of indicators (e.g., HOMA-IR) is desirable" was added as information in order to more accurately recognize the pathology. Regarding Step 2: "Give due consideration to safety," "For renal excretion" was added to the "Rule of thumb 2: Avoid glinides in patients with renal impairment." The order of the medications in "rule of thumb 3: Avoid thiazolidinediones and biguanides in patients with heart failure (in whom they are contraindicated)." to thiazolidinediones then biguanides. In the description of the lowest part of Fig. 2, for each patient failing to achieve his/her HbA1c control goal, "while reverting to step 1" was changed to "while reverting to the opening" and "including reassessment if the patient is indicated for insulin therapy" was added. In the separate table, the column for tirzepatides was added, while the two items, "Characteristic side effects" and "Persistence of effect" were added to the area of interest. The revision also carried additional descriptions of the figure and table such as tirzepatides and "Characteristic side effects" in the statement, and while not mentioned in the proposed algorithm figure, nonalcoholic fatty liver disease (NAFLD) is covered from this revision for patients with comorbidities calling for medical attention. Moreover, detailed information was added to the relative/absolute indication for insulin therapy, the Kumamoto Declaration 2013 for glycemic targets, and glycemic targets for older people with diabetes. Again, in this revision, it is hoped that the algorithm presented here will not only contribute to improved diabetes management in Japan, but will continue to evolve into a better algorithm over time, reflecting new evidence as it becomes available.
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Affiliation(s)
- Ryotaro Bouchi
- Diabetes and Metabolism Information Center, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tatsuya Kondo
- Department of Diabetes, Metabolism and Endocrinology, Kumamoto University Hospital, Kumamoto, Japan
| | - Yasuharu Ohta
- Division of Endocrinology, Metabolism, Hematological Sciences and Therapeutics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Atsushi Goto
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Kanagawa, Japan
| | - Daisuke Tanaka
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroaki Satoh
- Department of Diabetes and Endocrinology, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Rimei Nishimura
- Division of Diabetes, Metabolism and Endocrinology, Jikei University School of Medicine, Tokyo, Japan
| | - Norio Harada
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hideki Kamiya
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University, Aichi, Japan
| | - Ryo Suzuki
- Department of Diabetes, Metabolism and Endocrinology, Tokyo Medical University, Tokyo, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, University of Tokyo Graduate School of Medicine, Tokyo, Japan
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22
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Gupta N, Uwawah TD, Singh K, Madan H, Kumar S, Midha B, Soni K, Singh A, Bhogal A, Jain A. Semaglutide in Heart Failure: A Systematic Review of Outcomes of Semaglutide in Heart Failure Patients. Cureus 2024; 16:e64668. [PMID: 39149678 PMCID: PMC11326657 DOI: 10.7759/cureus.64668] [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] [Accepted: 07/16/2024] [Indexed: 08/17/2024] Open
Abstract
Heart failure (HF) stands as a formidable challenge in global healthcare casting a long shadow over both morbidity and mortality. A significant interplay between HF and type 2 diabetes (T2DM) manifests an elevated risk of adverse cardiovascular events in T2DM patients. Glucagon-like peptide 1 emerges as a pivotal player in T2DM, which is released in response to meals rich in glucose and lipids. We aim to assess the outcomes of using semaglutide in HF. A comprehensive literature search was performed using electronic databases, including PubMed/Medline, the Cochrane Library, and Google Scholar, covering all records up to May 10, 2024. Studies meeting inclusion criteria were selected. Qualitative analysis was conducted to analyze the findings of the studies included. Four studies (three randomized controlled trials and one observational study) were included in our manuscript. There was a significant decrease in the Kansas City Cardiomyopathy Questionnaire clinical summary score (p< 0.001), body weight (p< 0.001), six-minute walk distance (p< 0.001), and CRP levels (p< 0.001). A statistically significant decrease in overall major adverse cardiac events was observed with a hazard ratio of 0.76 (95% CI 0.62, 0.92). Other factors and adverse effects were also discussed in our manuscript. Our study showed that semaglutide resulted in improvement in HF patients. Although adverse effects were observed, they were not as significant as the placebo itself.
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Affiliation(s)
- Nishtha Gupta
- Internal Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, IND
| | | | - Kamaldeep Singh
- Internal Medicine, Jawaharlal Nehru Medical College, Belgaum, IND
| | - Hritik Madan
- Internal Medicine, Adesh Medical College and Hospital, Ambala, IND
| | | | - Bharat Midha
- Internal Medicine, Jawaharlal Nehru Medical College, Belgaum, IND
| | - Kriti Soni
- Internal Medicine, Government Medical College & Hospital, Chandigarh, IND
| | - Aparjit Singh
- Internal Medicine, Adesh Medical College and Hospital, Ambala, IND
| | - Amandeep Bhogal
- Internal Medicine, Subharti Medical College & Hospital, Meerut, IND
| | - Arpit Jain
- Internal Medicine, Jawaharlal Nehru Medical College, Belgaum, IND
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23
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Baum HBA. Approach to the Patient With Type 2 Diabetes Requiring Add-On Medication. J Clin Endocrinol Metab 2024; 109:e1506-e1512. [PMID: 38373247 DOI: 10.1210/clinem/dgae056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 02/21/2024]
Abstract
In the last 20 years, the number of approved agents and agent classes for management of type 2 diabetes has expanded significantly. This more robust armamentarium affords us the opportunity to utilize drugs with complementary modes of action to address progressive hyperglycemia as insulin secretion declines over time. Furthermore, some of these agents provide additional benefits, such as weight loss, prevention of major adverse cardiac events (MACE), and protection against declining renal function. This dramatic increase of treatment options has led to complex published treatment advice which may be challenging for the busy clinician. A critical element in medication selection is awareness of the hemoglobin A1c (HbA1c)-lowering potency of the agent being considered, and the distance of the patient's HbA1c level from the individualized goal. Other important factors in choosing medication as diabetes progresses include the recognition that there is a diminishing return of glucose-lowering efficacy as add-on agents are introduced, and that the extent of benefit for cardiac and renal protection is not fully understood. In addition, the availability of newer non-insulin agents may distract the clinician from utilizing insulin, the most potent agent available. The goal of this article is to provide a straightforward approach to add-on medication in the treatment of type 2 diabetes, recognizing the limits of polypharmacy and the importance of employing agents best suited to achieving treatment targets. Proposed is a practical tool which provides stepwise guidance, utilizing available data on medication efficacy, while allowing flexibility based on clinician and patient preference.
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Affiliation(s)
- Howard B A Baum
- Division of Diabetes, Endocrinology, and Metabolism, Vanderbilt University Medical Center, Nashville, TN 37232, USA
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24
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Schwartz SS, Herman ME. Gluco-regulation & type 2 diabetes: entrenched misconceptions updated to new governing principles for gold standard management. Front Endocrinol (Lausanne) 2024; 15:1394805. [PMID: 38933821 PMCID: PMC11199379 DOI: 10.3389/fendo.2024.1394805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 05/16/2024] [Indexed: 06/28/2024] Open
Abstract
Our understanding of type 2 diabetes (T2D) has evolved dramatically. Advances have upended entrenched dogmas pertaining to the onset and progression of T2D, beliefs that have prevailed from the early era of diabetes research-and continue to populate our medical textbooks and continuing medical education materials. This review article highlights key insights that lend new governing principles for gold standard management of T2D. From the historical context upon which old beliefs arose to new findings, this article outlines evidence and perspectives on beta cell function, the underlying defects in glucoregulation, the remediable nature of T2D, and, the rationale supporting the shift to complication-centric prescribing. Practical approaches translate this rectified understanding of T2D into strategies that fill gaps in current management practices of prediabetes through late type 2 diabetes.
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Affiliation(s)
- Stanley S. Schwartz
- Main Line Health, Wynnewood, PA, and University of Pennsylvania, Philadelphia, PA, United States
| | - Mary E. Herman
- Social Alchemy: Building Physician Competency Across the Globe, Sacatepéquez, Guatemala
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25
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Chianelli M, Busetto L, Vettor R, Annibale B, Paoletta A, Papini E, Albanese A, Carabotti M, Casarotto D, De Pergola G, Disoteo OE, Grandone I, Medea G, Nisoli E, Raffaelli M, Schiff S, Vignati F, Cinquini M, Gonzalez-Lorenzo M, Fittipaldo VA, Minozzi S, Monteforte M, Tralongo AC, Novizio R, Persichetti A, Samperi I, Scoppola A, Borretta G, Carruba M, Carbonelli MG, De Luca M, Frontoni S, Corradini SG, Muratori F, Attanasio R. Italian guidelines for the management of adult individuals with overweight and obesity and metabolic comorbidities that are resistant to behavioral treatment. J Endocrinol Invest 2024; 47:1361-1371. [PMID: 38630213 DOI: 10.1007/s40618-024-02361-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/09/2024] [Indexed: 06/02/2024]
Abstract
AIM This guideline (GL) is aimed at providing a clinical practice reference for the management of adult patients with overweight or obesity associated with metabolic complications who are resistant to lifestyle modification. METHODS Surgeons, endocrinologists, gastroenterologists, psychologists, pharmacologists, a general practitioner, a nutritionist, a nurse and a patients' representative acted as multi-disciplinary panel. This GL has been developed following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. A systematic review and network meta-analysis was performed by a methodologic group. For each question, the panel identified potentially relevant outcomes, which were then rated for their impact on therapeutic choices. Only outcomes classified as "critical" and "important" were considered in the systematic review of evidence. Those classified as "critical" were considered for clinical practice recommendations. Consensus on the direction (for or against) and strength (strong or conditional) of recommendations was reached through a majority vote. RESULTS The present GL provides recommendations about the role of both pharmacological and surgical treatment for the clinical management of the adult patient population with BMI > 27 kg/m2 and < 40 kg/m2 associated with weight-related metabolic comorbidities, resistant to lifestyle changes. The panel: suggests the timely implementation of therapeutic interventions in addition to diet and physical activity; recommends the use of semaglutide 2.4 mg/week and suggests liraglutide 3 mg/day in patients with obesity or overweight also affected by diabetes or pre-diabetes; recommends semaglutide 2.4 mg/week in patients with obesity or overweight also affected by non-alcoholic fatty liver disease; recommends semaglutide 2.4 mg/week as first-line drug in patients with obesity or overweight that require a larger weight loss to reduce comorbidities; suggests the use of orlistat in patients with obesity or overweight also affected by hypertriglyceridemia that assume high-calorie and high-fat diet; suggests the use of naltrexone/bupropion combination in patients with obesity or overweight, with emotional eating; recommends surgical intervention (sleeve gastrectomy, Roux-en-Y gastric bypass, or metabolic gastric bypass/gastric bypass with single anastomosis/gastric mini bypass in patients with BMI ≥ 35 kg/m2 who are suitable for metabolic surgery; and suggests gastric banding as a possible, though less effective, surgical alternative. CONCLUSION The present GL is directed to all physicians addressing people with obesity-working in hospitals, territorial services or private practice-and to general practitioners and patients. The recommendations should also consider the patient's preferences and the available resources and expertise.
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Affiliation(s)
- M Chianelli
- Endocrinology, Regina Apostolorum Hospital, Albano Laziale, RM, Italy
| | - L Busetto
- Department of Medicine, Center for Medical and Surgical Therapy of Obesity, University of Padua, Padua University Hospital, President of the Italian Society for Obesity, Padua, Italy
| | - R Vettor
- Department of Medicine, Medical Clinic 3rd, Endocrine-Metabolic Unit, Padua University Hospital, Center for the Study and Integrated Treatment of Obesity, University of Padua, Padua, Italy
| | - B Annibale
- President of the Italian Society of Gastroenterology and Digestive Endoscopy, Department of Medico-Surgical Sciences and Translational Medicine, Unit of Diseases of the Digestive System and Liver, Sapienza University of Rome, Sant'Andrea University Hospital, Rome, Italy
| | - A Paoletta
- Endocrinology, ULSS6 Euganea, Padua, Italy
| | - E Papini
- Endocrinology, Regina Apostolorum Hospital, Albano Laziale, RM, Italy
| | - A Albanese
- Bariatric Surgery Unit, University Hospital of Padua, Padua, Italy
| | - M Carabotti
- Department of Medical and Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, Rome, Italy
| | | | - G De Pergola
- Clinical Nutrition Center for Research and Treatment of Obesity and Metabolic Diseases, IRCCS De Bellis, Castellana Grotte, BA, Italy
| | - O E Disoteo
- Diabetology Unit, ASST Grande Ospedale Metropolitano Di Niguarda, Milan, Italy
| | - I Grandone
- Diabetology, Dietology and Clinical Nutrition Unit, Santa Maria Hospital, Terni, Italy
| | - G Medea
- General Practitioner, ATS Brescia, Brescia, Italy
| | - E Nisoli
- Center for the Study and Research on Obesity, Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - M Raffaelli
- Endocrine and Metabolic Surgery Unit, Agostino Gemelli IRCCS University Polyclinic Foundation, Center for Research in Endocrine Gland and Obesity Surgery, Catholic University of the Sacred Heart, Rome, Italy
| | - S Schiff
- Department of Medicine-DIMED, University of Padua, Padua, Italy
| | - F Vignati
- Endocrine Diseases and Diabetology Unit, Referral Center for the Study, Diagnosis and Treatment of Obesity, Sant'Anna Hospital, ASST Lariana, Como, Italy
| | - M Cinquini
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | | | - V A Fittipaldo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - S Minozzi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - M Monteforte
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - A C Tralongo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - R Novizio
- Endocrinology and Metabolism Unit, Catholic University of the Sacred Heart, Rome, Italy.
| | - A Persichetti
- Ministry of Interior - Department of Firefighters, Public Rescue and Civil Defense, Rome, Italy
- Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy
| | - I Samperi
- Endocrinology, ASL Novara, Novara, Italy
| | - A Scoppola
- UOSD Endocrinologia ASL, Roma 1, Rome, Italy
| | - G Borretta
- Department of Endocrinology, Diabetes and Metabolism, Santa Croce and Carle Hospital, Cuneo, Italy
| | - M Carruba
- Center for the Study and Research on Obesity, Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - M G Carbonelli
- Dietetics and Nutrition Unit, San Camillo-Forlanini Hospital, Rome, Italy
| | - M De Luca
- Department of General Surgery, Rovigo Hospital, Rovigo, Italy
| | - S Frontoni
- Endocrinology Diabetes and Metabolism Unit, Fatebenefratelli Hospital, Rome, Italy
| | - S G Corradini
- Gastroenterology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Policlinico Umberto I University Hospital, Rome, Italy
| | - F Muratori
- Endocrine Diseases and Diabetology Unit, Referral Center for the Study, Diagnosis and Treatment of Obesity, Sant'Anna Hospital, ASST Lariana, Como, Italy
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McCormick N, Yokose C, Lu N, Wexler DJ, Aviña-Zubieta JA, De Vera MA, McCoy RG, Choi HK. Sodium-Glucose Cotransporter-2 Inhibitors vs Sulfonylureas for Gout Prevention Among Patients With Type 2 Diabetes Receiving Metformin. JAMA Intern Med 2024; 184:650-660. [PMID: 38619822 PMCID: PMC11019449 DOI: 10.1001/jamainternmed.2024.0376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 01/27/2024] [Indexed: 04/16/2024]
Abstract
Importance Sodium-glucose cotransporter type 2 inhibitors (SGLT2i) are a revolutionary treatment for type 2 diabetes (T2D) with cardiovascular, kidney, and serum urate-lowering benefits. Objective To compare risk of incident gout and rate of recurrent flares between patients with T2D initiating SGLT2i vs sulfonylurea, most common second-line glucose-lowering therapy, when added to metformin monotherapy. Design, Setting, and Participants This sequential, propensity score-matched, new-user comparative effectiveness study using target trial emulation framework included adults with T2D receiving metformin monotherapy in a Canadian general population database from January 1, 2014, to June 30, 2022. Exposures Initiation of SGLT2i vs sulfonylurea. Main Outcomes and Measures The primary outcome was incident gout diagnosis, ascertained by emergency department (ED), hospital, outpatient, and medication dispensing records. Secondary outcomes were gout-primary hospitalizations and ED visits and major adverse cardiovascular events (MACE), as well as recurrent flare rates among prevalent gout patients. Heart failure (HF) hospitalization was assessed as positive control outcome and osteoarthritis encounters as negative control. For target trial emulations, we used Cox proportional hazards and Poisson regressions with 1:1 propensity score matching (primary analysis) and overlap weighting (sensitivity analysis). The analysis was conducted from September to December, 2023. Results Among 34 604 propensity score matched adults with T2D initiating SGLT2i or sulfonylurea (20 816 [60%] male, mean [SD] age, 60 [12.4] years), incidence of gout was lower among SGLT2i initiators (4.27 events per 1000 person-years) than sulfonylurea initiators (6.91 events per 1000 person-years), with a hazard ratio (HR) of 0.62 (95% CI, 0.48-0.80) and a rate difference (RD) of -2.64 (95% CI, -3.99 to -1.29) per 1000 person-years. Associations persisted regardless of sex, age, or baseline diuretic use. SGLT2i use was also associated with fewer recurrent flares among gout patients (rate ratio, 0.67; 95% CI, 0.55-0.82; and RD, -20.9; 95% CI, -31.9 to -10.0 per 1000 person-years). HR and RD for MACE associated with SGLT2i use were 0.87 (95% CI, 0.77-0.98) and -3.58 (95% CI, -6.19 to -0.96) per 1000 person-years. For control outcomes, SGLT2i users had lower risk of HF (HR, 0.53; 95% CI, 0.38-0.76), as expected, with no difference in osteoarthritis (HR, 1.11; 95% CI, 0.94-1.34). Results were similar when applying propensity score overlap weighting. Conclusions In this population-based cohort study, the gout and cardiovascular benefits associated with SGLT2i in these target trial emulations may guide selection of glucose-lowering therapy in patients with T2D, at risk for or already with gout.
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Affiliation(s)
- Natalie McCormick
- Rheumatology & Allergy Clinical Epidemiology Research Center, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - Chio Yokose
- Rheumatology & Allergy Clinical Epidemiology Research Center, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Na Lu
- Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - Deborah J. Wexler
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Diabetes Center, Massachusetts General Hospital, Boston
| | - J. Antonio Aviña-Zubieta
- Arthritis Research Canada, Vancouver, British Columbia, Canada
- Division of Rheumatology, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Mary A. De Vera
- Arthritis Research Canada, Vancouver, British Columbia, Canada
- Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Rozalina G. McCoy
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore
- University of Maryland Institute for Health Computing, Bethesda
- Division of Gerontology, Department of Medicine, University of Maryland School of Medicine, Baltimore
| | - Hyon K. Choi
- Rheumatology & Allergy Clinical Epidemiology Research Center, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Arthritis Research Canada, Vancouver, British Columbia, Canada
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Andraos J, Smith SR, Tran A, Pham DQ. Narrative review of data supporting alternate first-line therapies over metformin in type 2 diabetes. J Diabetes Metab Disord 2024; 23:385-394. [PMID: 38932889 PMCID: PMC11196467 DOI: 10.1007/s40200-024-01406-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 02/15/2024] [Indexed: 06/28/2024]
Abstract
Purpose Metformin has been the first-line treatment for type 2 diabetes mellitus as monotherapy or concomitantly with other glucose-lowering therapies due to its efficacy, safety, and affordability. Recent studies on the cardioprotective and renoprotective benefits of glucagon-like peptide-1 receptor agonists (GLP-1 RA) and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) have influenced guidelines on diabetes management to consider these newer agents as alternative first-line therapies. This paper explores the literature supporting the use of these newer medications alone as a first-line agent in place of metformin. Methods A review of citations from the most recent guidelines along with a literature search via PubMed was completed to review (1) what, historically, made metformin first-line (2) if newer agents' benefits remain when used without metformin (3) how newer agents compare against metformin when used without it. Results Evaluation of the historical literature was completed to summarize the key findings that support metformin as a first-line therapy agent. Additionally, an assessment of the literature reveals that the benefits of these two newer classes are independent of concomitant metformin therapy. Finally, studies have demonstrated that these newer agents can be either non-inferior or sometimes superior to metformin when used as monotherapy. Conclusion GLP-1 RA and SGLT-2i can be considered as first line monotherapies for select patients with high cardiovascular risks, renal disease, or weight loss requirements. However, pharmacoeconomic considerations along with lesser long-term safety outcomes should limit these agents' use in certain patients as the management of diabetes continues to transition towards shared-decision making. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-024-01406-6.
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Affiliation(s)
- John Andraos
- Western University of Health Sciences, College of Pharmacy, Pomona, CA USA
| | - Shawn R. Smith
- Western University of Health Sciences, College of Pharmacy, Pomona, CA USA
| | - Amanda Tran
- HOAG, Mary & Dick Allen Diabetes Center, Newport Beach, CA USA
| | - David Q. Pham
- Western University of Health Sciences, College of Pharmacy, Pomona, CA USA
- HOAG, Mary & Dick Allen Diabetes Center, Newport Beach, CA USA
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Franchi M, Pellegrini G, Avogaro A, Buzzetti G, Candido R, Cavaliere A, Consoli A, Marzona I, Mennini FS, Palcic S, Corrao G. Comparing the effectiveness and cost-effectiveness of sulfonylureas and newer diabetes drugs as second-line therapy for patients with type 2 diabetes. BMJ Open Diabetes Res Care 2024; 12:e003991. [PMID: 38802266 PMCID: PMC11131106 DOI: 10.1136/bmjdrc-2023-003991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 05/15/2024] [Indexed: 05/29/2024] Open
Abstract
INTRODUCTION We aimed to compare the effectiveness and cost-effectiveness profiles of glucagon-like peptide-1 receptor agonist (GLP-1-RA), sodium-glucose cotransporter 2 inhibitor (SGLT2i), and dipeptidyl peptidase-4 inhibitor (DPP-4i) compared with sulfonylureas and glinides (SU). RESEARCH DESIGN AND METHODS Population-based retrospective cohort study based on linked regional healthcare utilization databases. The cohort included all residents in Lombardy aged ≥40 years, treated with metformin in 2014, who started a second-line treatment between 2015 and 2018 with SU, GLP-1-RA, SGLT2i, or DPP-4i. For each cohort member who started SU, one patient who began other second-line treatments was randomly selected and matched for sex, age, Multisource Comorbidity Score, and previous duration of metformin treatment. Cohort members were followed up until December 31, 2022. The association between second-line treatment and clinical outcomes was assessed using Cox proportional hazards models. The incremental cost-effectiveness ratios (ICERs) were calculated and compared between newer diabetes drugs and SU. RESULTS Overall, 22 867 patients with diabetes were included in the cohort, among which 10 577, 8125, 2893 and 1272 started a second-line treatment with SU, DPP-4i, SGLT2i and GLP-1-RA, respectively. Among these, 1208 patients for each group were included in the matched cohort. As compared with SU, those treated with DPP-4i, SGLT2i and GLP-1-RA were associated to a risk reduction for hospitalization for major adverse cardiovascular events (MACE) of 22% (95% CI 3% to 37%), 29% (95% CI 12% to 44%) and 41% (95% CI 26% to 53%), respectively. The ICER values indicated an average gain of €96.2 and €75.7 each month free from MACE for patients on DPP-4i and SGLT2i, respectively. CONCLUSIONS Newer diabetes drugs are more effective and cost-effective second-line options for the treatment of type 2 diabetes than SUs.
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Affiliation(s)
- Matteo Franchi
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
| | - Giacomo Pellegrini
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
| | - Angelo Avogaro
- Department of Medicine, Division of Metabolic Diseases, University of Padova, Padua, Italy
| | | | - Riccardo Candido
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
- SC Patologie Diabetiche, ASUGI, Trieste, Italy
| | | | - Agostino Consoli
- DMSI and CAST, Università degli Studi Gabriele d'Annunzio Chieti-Pescara, Chieti, Italy
| | | | - Francesco Saverio Mennini
- Centre for Economics and International Studies-Economic Evaluation and Health Technology Assessment, Università degli Studi di Roma Tor Vergata, Roma, Italy
| | - Stefano Palcic
- SC Farmacia Ospedaliera e Territoriale-Area Giuliana, ASUGI, Trieste, Italy
| | - Giovanni Corrao
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy
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Bidulka P, Lugo-Palacios DG, Carroll O, O'Neill S, Adler AI, Basu A, Silverwood RJ, Bartlett JW, Nitsch D, Charlton P, Briggs AH, Smeeth L, Douglas IJ, Khunti K, Grieve R. Comparative effectiveness of second line oral antidiabetic treatments among people with type 2 diabetes mellitus: emulation of a target trial using routinely collected health data. BMJ 2024; 385:e077097. [PMID: 38719492 PMCID: PMC11077536 DOI: 10.1136/bmj-2023-077097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2024] [Indexed: 05/12/2024]
Abstract
OBJECTIVE To compare the effectiveness of three commonly prescribed oral antidiabetic drugs added to metformin for people with type 2 diabetes mellitus requiring second line treatment in routine clinical practice. DESIGN Cohort study emulating a comparative effectiveness trial (target trial). SETTING Linked primary care, hospital, and death data in England, 2015-21. PARTICIPANTS 75 739 adults with type 2 diabetes mellitus who initiated second line oral antidiabetic treatment with a sulfonylurea, DPP-4 inhibitor, or SGLT-2 inhibitor added to metformin. MAIN OUTCOME MEASURES Primary outcome was absolute change in glycated haemoglobin A1c (HbA1c) between baseline and one year follow-up. Secondary outcomes were change in body mass index (BMI), systolic blood pressure, and estimated glomerular filtration rate (eGFR) at one year and two years, change in HbA1c at two years, and time to ≥40% decline in eGFR, major adverse kidney event, hospital admission for heart failure, major adverse cardiovascular event (MACE), and all cause mortality. Instrumental variable analysis was used to reduce the risk of confounding due to unobserved baseline measures. RESULTS 75 739 people initiated second line oral antidiabetic treatment with sulfonylureas (n=25 693, 33.9%), DPP-4 inhibitors (n=34 464 ,45.5%), or SGLT-2 inhibitors (n=15 582, 20.6%). SGLT-2 inhibitors were more effective than DPP-4 inhibitors or sulfonylureas in reducing mean HbA1c values between baseline and one year. After the instrumental variable analysis, the mean differences in HbA1c change between baseline and one year were -2.5 mmol/mol (95% confidence interval (CI) -3.7 to -1.3) for SGLT-2 inhibitors versus sulfonylureas and -3.2 mmol/mol (-4.6 to -1.8) for SGLT-2 inhibitors versus DPP-4 inhibitors. SGLT-2 inhibitors were more effective than sulfonylureas or DPP-4 inhibitors in reducing BMI and systolic blood pressure. For some secondary endpoints, evidence for SGLT-2 inhibitors being more effective was lacking-the hazard ratio for MACE, for example, was 0.99 (95% CI 0.61 to 1.62) versus sulfonylureas and 0.91 (0.51 to 1.63) versus DPP-4 inhibitors. SGLT-2 inhibitors had reduced hazards of hospital admission for heart failure compared with DPP-4 inhibitors (0.32, 0.12 to 0.90) and sulfonylureas (0.46, 0.20 to 1.05). The hazard ratio for a ≥40% decline in eGFR indicated a protective effect versus sulfonylureas (0.42, 0.22 to 0.82), with high uncertainty in the estimated hazard ratio versus DPP-4 inhibitors (0.64, 0.29 to 1.43). CONCLUSIONS This emulation study of a target trial found that SGLT-2 inhibitors were more effective than sulfonylureas or DPP-4 inhibitors in lowering mean HbA1c, BMI, and systolic blood pressure and in reducing the hazards of hospital admission for heart failure (v DPP-4 inhibitors) and kidney disease progression (v sulfonylureas), with no evidence of differences in other clinical endpoints.
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Affiliation(s)
- Patrick Bidulka
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - David G Lugo-Palacios
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Orlagh Carroll
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Stephen O'Neill
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Amanda I Adler
- Diabetes Trials Unit, The Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Headington, Oxford, UK
| | - Anirban Basu
- The Comparative Health Outcomes, Policy and Economics (CHOICE) Institute, University of Washington School of Pharmacy, Seattle, WA, USA
| | - Richard J Silverwood
- Centre for Longitudinal Studies, UCL Social Research Institute, University College London, London, UK
| | - Jonathan W Bartlett
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Dorothea Nitsch
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Paul Charlton
- Patient author, Patient Research Champion Team, National Institute for Health and Care Research, London, UK
| | - Andrew H Briggs
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Liam Smeeth
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Ian J Douglas
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Richard Grieve
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
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Beitelshees AL, Streeten EA, Shahidzadeh Yazdi Z, Whitlatch HB, Mitchell BD, Shuldiner AR, Montasser ME, Taylor SI. Acute pharmacodynamic responses to sitagliptin: Drug-induced increase in early insulin secretion in oral glucose tolerance test. Clin Transl Sci 2024; 17:e13809. [PMID: 38700326 PMCID: PMC11067710 DOI: 10.1111/cts.13809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 03/11/2024] [Accepted: 04/09/2024] [Indexed: 05/05/2024] Open
Abstract
DPP4 inhibitors are widely prescribed as treatments for type 2 diabetes. Because drug responses vary among individuals, we initiated investigations to identify genetic variants associated with the magnitude of drug responses. Sitagliptin (100 mg) was administered to 47 healthy volunteers. Several endpoints were measured to assess clinically relevant responses - including the effect of sitagliptin on glucose and insulin levels during an oral glucose tolerance test (OGTT). This pilot study confirmed that sitagliptin (100 mg) decreased the area under the curve for glucose during an OGTT (p = 0.0003). Furthermore, sitagliptin promoted insulin secretion during the early portion of the OGTT as reflected by an increase in the ratio of plasma insulin at 30 min divided by plasma insulin at 60 min (T30:T60) from mean ± SEM 0.87 ± 0.05 to 1.62 ± 0.36 mU/L (p = 0.04). The magnitude of sitagliptin's effect on insulin secretion (as judged by the increase in the T30:T60 ratio for insulin) was correlated with the magnitude of sitagliptin-induced increase in the area under the curve for intact plasma GLP1 levels during the first hour of the OGTT. This study confirmed previously reported sex differences in glucose and insulin levels during an OGTT. Specifically, females exhibited higher levels of glucose and insulin at the 90-180 min time points. However, we did not detect significant sex-associated differences in the magnitude of sitagliptin-induced changes in T30:T60 ratios for either glucose or insulin. In conclusion, T30:T60 ratios for insulin and glucose during an OGTT provide useful indices to assess pharmacodynamic responses to DPP4 inhibitors.
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Affiliation(s)
- Amber L. Beitelshees
- Division of Endocrinology, Diabetes, and Nutrition, Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Elizabeth A. Streeten
- Division of Endocrinology, Diabetes, and Nutrition, Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Zhinous Shahidzadeh Yazdi
- Division of Endocrinology, Diabetes, and Nutrition, Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Hilary B. Whitlatch
- Division of Endocrinology, Diabetes, and Nutrition, Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Braxton D. Mitchell
- Division of Endocrinology, Diabetes, and Nutrition, Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Alan R. Shuldiner
- Division of Endocrinology, Diabetes, and Nutrition, Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - May E. Montasser
- Division of Endocrinology, Diabetes, and Nutrition, Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Simeon I. Taylor
- Division of Endocrinology, Diabetes, and Nutrition, Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
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Drake T, Landsteiner A, Langsetmo L, MacDonald R, Anthony M, Kalinowski C, Ullman K, Billington CJ, Kaka A, Sultan S, Wilt TJ. Newer Pharmacologic Treatments in Adults With Type 2 Diabetes: A Systematic Review and Network Meta-analysis for the American College of Physicians. Ann Intern Med 2024; 177:618-632. [PMID: 38639549 DOI: 10.7326/m23-1490] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Newer diabetes medications may have beneficial effects on mortality, cardiovascular outcomes, and renal outcomes. PURPOSE To evaluate the effectiveness, comparative effectiveness, and harms of sodium-glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP1) agonists, dipeptidyl peptidase-4 (DPP4) inhibitors, and long-acting insulins as monotherapy or combination therapy in adults with type 2 diabetes mellitus (T2DM). DATA SOURCES MEDLINE and EMBASE for randomized controlled trials (RCTs) published from 2010 through January 2023. STUDY SELECTION RCTs lasting at least 52 weeks that included at least 500 adults with T2DM receiving eligible medications and reported any outcomes of interest. DATA EXTRACTION Data were abstracted by 1 reviewer and verified by a second. Independent, dual assessments of risk of bias and certainty of evidence (CoE) were done. DATA SYNTHESIS A total of 130 publications from 84 RCTs were identified. CoE was appraised using GRADE (Grading of Recommendations Assessment, Development and Evaluation) criteria for direct, indirect, and network meta-analysis (NMA); the highest CoE was reported. Compared with usual care, SGLT2 inhibitors and GLP1 agonists reduce all-cause mortality (high CoE) and major adverse cardiovascular events (MACE) (moderate to high CoE), SGLT2 inhibitors reduce progression of chronic kidney disease (CKD) and heart failure hospitalizations and GLP1 agonists reduce stroke (high CoE), and SGLT2 inhibitors reduce serious adverse events and severe hypoglycemia (high CoE). The threshold for minimally important differences, which was predefined with the American College of Physicians Clinical Guidelines Committee, was not met for these outcomes. Compared with usual care, insulin, tirzepatide, and DPP4 inhibitors do not reduce all-cause mortality (low to high CoE). Compared with insulin, SGLT2 inhibitors and GLP1 agonists reduce all-cause mortality (low to moderate CoE). Compared with DPP4 inhibitors, GLP1 agonists reduce all-cause mortality (moderate CoE). Compared with DPP4 inhibitors and sulfonylurea (SU), SGLT2 inhibitors reduce MACE (moderate to high CoE). Compared with SU and insulin, SGLT2 inhibitors and GLP1 agonists reduce severe hypoglycemia (low to high CoE). LIMITATIONS Infrequent direct comparisons between drugs of interest; sparse data for NMA on most outcomes; possible incoherence due to differences in baseline patient characteristics and usual care; insufficient data on predefined subgroups, including demographic subgroups, patients with prior cardiovascular disease, and treatment-naive persons. CONCLUSION In adults with T2DM, SGLT2 inhibitors and GLP1 agonists (but not DPP4 inhibitors, insulin, or tirzepatide) reduce all-cause mortality and MACE compared with usual care. SGLT2 inhibitors reduce CKD progression and heart failure hospitalization and GLP1 agonists reduce stroke compared with usual care. Serious adverse events and severe hypoglycemia are less frequent with SGLT2 inhibitors and GLP1 agonists than with insulin or SU. PRIMARY FUNDING SOURCE American College of Physicians. (PROSPERO: CRD42022322129).
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Affiliation(s)
- Tyler Drake
- Department of Medicine, VA Health Care System, and Department of Medicine, University of Minnesota, Minneapolis, Minnesota (T.D., C.J.B., A.K.)
| | - Adrienne Landsteiner
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, Minnesota (A.L., R.M., M.A., C.K., K.U.)
| | - Lisa Langsetmo
- Department of Medicine, University of Minnesota; Center for Care Delivery & Outcomes Research, VA Health Care System; and Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota (L.L.)
| | - Roderick MacDonald
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, Minnesota (A.L., R.M., M.A., C.K., K.U.)
| | - Maylen Anthony
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, Minnesota (A.L., R.M., M.A., C.K., K.U.)
| | - Caleb Kalinowski
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, Minnesota (A.L., R.M., M.A., C.K., K.U.)
| | - Kristen Ullman
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, Minnesota (A.L., R.M., M.A., C.K., K.U.)
| | - Charles J Billington
- Department of Medicine, VA Health Care System, and Department of Medicine, University of Minnesota, Minneapolis, Minnesota (T.D., C.J.B., A.K.)
| | - Anjum Kaka
- Department of Medicine, VA Health Care System, and Department of Medicine, University of Minnesota, Minneapolis, Minnesota (T.D., C.J.B., A.K.)
| | - Shahnaz Sultan
- Department of Medicine, University of Minnesota, and Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, Minnesota (S.S.)
| | - Timothy J Wilt
- Department of Medicine, VA Health Care System; Department of Medicine, University of Minnesota; Center for Care Delivery & Outcomes Research, VA Health Care System; and Division of Health Policy & Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota (T.J.W.)
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Mingrone G, Rajagopalan H. Bariatrics and endoscopic therapies for the treatment of metabolic disease: Past, present, and future. Diabetes Res Clin Pract 2024; 211:111651. [PMID: 38580037 DOI: 10.1016/j.diabres.2024.111651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 04/01/2024] [Indexed: 04/07/2024]
Abstract
The burden of chronic metabolic diseases such as obesity, type 2 diabetes mellitus (T2DM), and metabolic dysfunction-associated steatotic liver disease (MASLD) and the urgency of the epidemiological situation necessitate the development of therapies that enhance metabolic health and alter the trajectory of metabolic disease in society. Certain bariatric-metabolic surgeries have proven to be effective approaches for treating metabolic dysfunction, showing remission or significant improvements in obesity, T2DM, and MASLD-related outcomes, suggesting that these interventions might be able to "reset" a pathologically calibrated metabolic setpoint. However, considering the challenges and invasiveness of surgery, endoscopic bariatric metabolic therapies (EBMTs) have emerged with a primary focus to reconstruct or mimic anatomical and/or functional changes observed with bariatric surgery in a more broadly accessible manner. These innovative approaches offer a potentially promising solution to address significant unmet medical need in the large segment of society, which remains at risk for the consequences of metabolic diseases. In this review, we discuss therapeutic options within the EBMT space in the context of the metabolic setpoint intellectual model and provide a brief overview of current knowledge surrounding their mechanisms of action and impact on metabolic health. Finally, we explore future perspectives and directions in this exciting field.
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Affiliation(s)
- Geltrude Mingrone
- Division of Obesity and Metabolic Diseases, Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore, Rome, Italy; Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, United Kingdom.
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Garvey WT, Cohen RM, Butera NM, Kazemi EJ, Younes N, Rosin SP, Suratt CE, Ahmann A, Hollander PA, Krakoff J, Martin CL, Seaquist E, Steffes MW, Lachin JM. Association of Baseline Factors With Glycemic Outcomes in GRADE: A Comparative Effectiveness Randomized Clinical Trial. Diabetes Care 2024; 47:562-570. [PMID: 38285957 PMCID: PMC10973909 DOI: 10.2337/dc23-1782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 11/03/2023] [Indexed: 01/31/2024]
Abstract
OBJECTIVE To describe the individual and joint associations of baseline factors with glycemia, and also with differential effectiveness of medications added to metformin. RESEARCH DESIGN AND METHODS Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) participants (with type 2 diabetes diagnosed for <10 years, on metformin, and with HbA1c 6.8-8.5%; N = 5,047) were randomly assigned to a basal insulin (glargine), sulfonylurea (glimepiride), glucagon-like peptide 1 agonist (liraglutide), or dipeptidyl peptidase 4 inhibitor (sitagliptin). The glycemic outcome was HbA1c ≥7.0%, subsequently confirmed. Univariate and multivariate regression and classification and regression tree (CART) analyses were used to assess the association of baseline factors with the glycemic outcome at years 1 and 4. RESULTS In univariate analyses at baseline, younger age (<58 years), Hispanic ethnicity, higher HbA1c, fasting glucose, and triglyceride levels, lower insulin secretion, and relatively greater insulin resistance were associated with the glycemic outcome at years 1 and/or 4. No factors were associated with differential effectiveness of the medications by year 4. In multivariate analyses, treatment group, younger age, and higher baseline HbA1c and fasting glucose were jointly associated with the glycemic outcome by year 4. The superiority of glargine and liraglutide at year 4 persisted after multiple baseline factors were controlled for. CART analyses indicated that failure to maintain HbA1c <7% by year 4 was more likely for younger participants and those with baseline HbA1c ≥7.4%. CONCLUSIONS Several baseline factors were associated with the glycemic outcome but not with differential effectiveness of the four medications. Failure to maintain HbA1c <7% was largely driven by younger age and higher HbA1c at baseline. Factors that predict earlier glycemic deterioration could help in targeting patients for more aggressive management.
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Affiliation(s)
- W. Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL
| | - Robert M. Cohen
- Division of Endocrinology, Diabetes, and Metabolism, University of Cincinnati College of Medicine and Cincinnati VA Medical Center, Cincinnati, OH
| | - Nicole M. Butera
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Erin J. Kazemi
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Samuel P. Rosin
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Colleen E. Suratt
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Andrew Ahmann
- Division of Endocrinology, Diabetes and Clinical Nutrition, Oregon Health and Science University, Portland, OR
| | | | | | - Catherine L. Martin
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Elizabeth Seaquist
- Division of Diabetes and Endocrinology, Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Michael W. Steffes
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - John M. Lachin
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
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Tan X, Divino V, Amamoo J, Xie L, Coyle KB, Gamble CL, Guevarra M, Paprocki Y, King AA. Real-World Effectiveness of Once-Weekly Glucagon-Like Peptide-1 Receptor Agonists (OW GLP-1RAs) in Comparison with Dipeptidyl Peptidase-4 Inhibitors (DPP-4is) for Glycemic Control and Weight Outcomes in Type 2 Diabetes Mellitus (RELATE). Clin Drug Investig 2024; 44:271-284. [PMID: 38507188 PMCID: PMC10980663 DOI: 10.1007/s40261-024-01354-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND The efficacy of once-weekly (OW) glucagon-like peptide-1 receptor agonists (GLP-1RAs) has been established in several trials in people with type 2 diabetes mellitus (T2DM); however, real-world evidence on their effectiveness is limited. This study evaluated the effectiveness of OW GLP-1RA regarding glycemic and weight outcomes, and relative to DPP-4i in a comparator analysis. METHODS This observational cohort study evaluated glycated hemoglobin (HbA1c) and weight outcomes in people with T2DM with two or more prescription claims for the same OW GLP-1RA using a pre-post study design (including for a semaglutide OW T2DM subgroup, hereafter referred to as semaglutide). Comparator analysis for the same outcome was performed for OW GLP-1RAs versus DPP-4i and semaglutide subgroup versus DPP-4i. A linked patient population from the IQVIA PharMetrics® Plus database and the Ambulatory Electronic Medical Records (AEMR) database was analyzed using data from January 2017 to April 2022. HbA1c and weight were assessed at baseline and at the end of the 12-month post-index period. Inverse probability of treatment weighting (IPTW) was used to adjust for imbalances in baseline patient characteristics in the comparator analysis. RESULTS In the pre-post analysis, a greater numerical reduction in HbA1c and weight was observed for the semaglutide subgroup (N = 354) relative to the OW GLP-1RA cohort (N = 921). In the semaglutide subgroup, 52.5% and 34.2% of patients achieved HbA1c of < 7.0% and ≥ 5% weight loss, respectively. For the comparator analysis, the OW GLP-1RAs (N = 651) were significantly more effective (p < 0.001) in reducing HbA1c (- 1.5% vs. - 1.0%) and weight (- 3.2 kg vs. - 1.0 kg) than the DPP-4is (N = 431). Similarly, the semaglutide cohort (N = 251) also displayed more effectiveness (p < 0.001) in reducing HbA1c (- 1.7% vs. - 0.9%) and weight (- 4.1 kg vs. - 1.3 kg) than the respective DPP-4i cohort (N = 417). Patients initiating OW GLP-1RAs, including the semaglutide cohort, were at least twice as likely to achieve HbA1c and weight outcomes as well as composite outcomes compared with those initiating DPP-4is. CONCLUSION The study reinforces that OW GLP-1RAs are more effective in glycemic control and weight reduction compared with DPP-4is in people with T2DM in the real-world setting. These findings align with the recommendation in the current guidelines for utilizing glucose-lowering treatment regimens that support weight-management goals in people with T2DM.
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Affiliation(s)
- Xi Tan
- Novo Nordisk Inc., 800 Scudders Mill Road, Plainsboro, NJ, 08536, USA.
| | | | - James Amamoo
- Novo Nordisk Inc., 800 Scudders Mill Road, Plainsboro, NJ, 08536, USA
| | - Lin Xie
- Novo Nordisk Inc., 800 Scudders Mill Road, Plainsboro, NJ, 08536, USA
| | | | - Cory L Gamble
- Novo Nordisk Inc., 800 Scudders Mill Road, Plainsboro, NJ, 08536, USA
| | - Mico Guevarra
- Novo Nordisk Inc., 800 Scudders Mill Road, Plainsboro, NJ, 08536, USA
| | - Yurek Paprocki
- Novo Nordisk Inc., 800 Scudders Mill Road, Plainsboro, NJ, 08536, USA
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Banerji MA, Buse JB, Younes N, Krause-Steinrauf H, Ghazi A, Lee M, Park J, Pop-Busui R, Underkofler C, Fortmann SP. Mortality in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). Diabetes Care 2024; 47:589-593. [PMID: 38252886 PMCID: PMC10973919 DOI: 10.2337/dc23-1356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 11/29/2023] [Indexed: 01/24/2024]
Abstract
OBJECTIVE We report mortality outcomes in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) among people with type 2 diabetes diagnosed within 10 years and no recent history of cardiovascular events or cancer. RESEARCH DESIGN AND METHODS Overall mortality rates and major causes of death were assessed over an average of 5 years of follow-up. Cause of death was adjudicated centrally by a committee masked to treatment assignment. We examined baseline covariates and the 10-year Framingham Risk Score for associations. RESULTS Mortality rate was low (0.59 per 100 participant-years). Participants who died during follow-up were likely to be older, be male, have a history of hypertension, have a history of smoking, and have moderate albuminuria. The two most common underlying causes of death were "cardiovascular-cause" (a composite of underlying causes) (38.6%) and cancer (26.8%). There were no differences by treatment group. CONCLUSIONS Among people with diabetes of relatively short duration, cause of death was varied. Attention to health risks beyond cardiovascular diseases is warranted.
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Affiliation(s)
- Mary Ann Banerji
- Division of Endocrinology and Department of Medicine, State University of New York Downstate Medical Center, Kings County Hospital Center, Brooklyn, NY
| | - John B. Buse
- Division of Endocrinology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Adline Ghazi
- MedStar Health Research Institute, Hyattsville and Baltimore, MD
| | - Melissa Lee
- Division of Endocrinology and Department of Medicine, State University of New York Downstate Medical Center, Kings County Hospital Center, Brooklyn, NY
| | - Jean Park
- MedStar Health Research Institute, Hyattsville and Baltimore, MD
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Chantal Underkofler
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Aurora, CO
| | - Stephen P. Fortmann
- Kaiser Permanente Center for Health Research, Portland, OR
- Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
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Rasouli N, Younes N, Ghosh A, Albu J, Cohen RM, DeFronzo RA, Diaz E, Sayyed Kassem L, Luchsinger JA, McGill JB, Sivitz WI, Tamborlane WV, Utzschneider KM, Kahn SE. Longitudinal Effects of Glucose-Lowering Medications on β-Cell Responses and Insulin Sensitivity in Type 2 Diabetes: The GRADE Randomized Clinical Trial. Diabetes Care 2024; 47:580-588. [PMID: 38211595 PMCID: PMC10973918 DOI: 10.2337/dc23-1070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 09/28/2023] [Indexed: 01/13/2024]
Abstract
OBJECTIVE To compare the long-term effects of glucose-lowering medications (insulin glargine U-100, glimepiride, liraglutide, and sitagliptin) when added to metformin on insulin sensitivity and β-cell function. RESEARCH DESIGN AND METHODS In the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) cohort with type 2 diabetes (n = 4,801), HOMA2 was used to estimate insulin sensitivity (HOMA2-%S) and fasting β-cell function (HOMA2-%B) at baseline and 1, 3, and 5 years on treatment. Oral glucose tolerance test β-cell responses (C-peptide index [CPI] and total C-peptide response [incremental C-peptide/incremental glucose over 120 min]) were evaluated at the same time points. These responses adjusted for HOMA2-%S in regression analysis provided estimates of β-cell function. RESULTS HOMA2-%S increased from baseline to year 1 with glargine and remained stable thereafter, while it did not change from baseline in the other treatment groups. HOMA2-%B and C-peptide responses were increased to variable degrees at year 1 in all groups but then declined progressively over time. At year 5, CPI was similar between liraglutide and sitagliptin, and higher for both than for glargine and glimepiride [0.80, 0.87, 0.74, and 0.64 (nmol/L)/(mg/dL) * 100, respectively; P < 0.001], while the total C-peptide response was greatest with liraglutide, followed in descending order by sitagliptin, glargine, and glimepiride [1.54, 1.25, 1.02, and 0.87 (nmol/L)/(mg/dL) * 100, respectively, P < 0.001]. After adjustment for HOMA2-%S to obtain an estimate of β-cell function, the nature of the change in β-cell responses reflected those in β-cell function. CONCLUSIONS The differential long-term effects on insulin sensitivity and β-cell function of four different glucose-lowering medications when added to metformin highlight the importance of the loss of β-cell function in the progression of type 2 diabetes.
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Affiliation(s)
- Neda Rasouli
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, and VA Eastern Colorado Health Care System, Aurora, CO
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Alokananda Ghosh
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Jeanine Albu
- Icahn School of Medicine, Mount Sinai Morningside, New York, NY
| | - Robert M. Cohen
- Division of Endocrinology, Diabetes and Metabolism, University of Cincinnati College of Medicine and Cincinnati VA Medical Center, Cincinnati, OH
| | | | - Elsa Diaz
- VA San Diego Healthcare System, San Diego, CA
| | - Laure Sayyed Kassem
- Department of Endocrinology, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, OH
| | - José A. Luchsinger
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY
| | - Janet B. McGill
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO
| | | | | | - Kristina M. Utzschneider
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
| | - Steven E. Kahn
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
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Kirkman MS, Tripputi M, Krause-Steinrauf H, Bebu I, AbouAssi H, Burch H, Duran-Valdez E, Florez H, Garvey WT, Hsia DS, Salam M, Pop-Busui R. Comparative Effects of Randomized Second-line Therapy for Type 2 Diabetes on a Composite Outcome Incorporating Glycemic Control, Body Weight, and Hypoglycemia: An Analysis of the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). Diabetes Care 2024; 47:594-602. [PMID: 38194519 PMCID: PMC10973908 DOI: 10.2337/dc23-1332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/03/2023] [Indexed: 01/11/2024]
Abstract
OBJECTIVE In Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) (5,047 participants, mean follow-up 5.0 years), differences in glycemic control were demonstrated over time among four randomized therapies added to metformin. Weight gain and hypoglycemia are also important outcomes for people with type 2 diabetes. We compared the effects of the four randomized GRADE medications on a composite outcome incorporating glycemic deterioration, weight gain, and hypoglycemia. RESEARCH DESIGN AND METHODS The composite outcome was time to first occurrence of any of the following: HbA1c >7.5%, confirmed; ≥5% weight gain; or severe or recurrent nonsevere hypoglycemia. Secondary analyses included examination of individual components of the composite outcome, subgroup effects and potential mediators, and treatment satisfaction. Cumulative incidence was estimated with the Kaplan-Meier estimator. Cox proportional hazards models were used to assess pairwise group differences in risk of an outcome. RESULTS Risk of reaching the composite outcome (events per 100 participants per treatment year [PTYs]) was lowest with liraglutide (19 per 100 PTYs) followed by sitagliptin (26 per 100 PTYs), glargine (29 per 100 PTYs), and glimepiride (40 per 100 PTYs); all pairwise comparisons were statistically significant. The order was the same for risk of weight gain and hypoglycemia, but risk of glycemic deterioration was lowest with glargine, followed by liraglutide, glimepiride, and sitagliptin. No significant heterogeneity in risk of composite outcome was detected across prespecified covariates. Participants who reached the composite outcome had modestly but significantly lower treatment satisfaction. CONCLUSIONS Among participants treated with common second-line drug classes for type 2 diabetes, the liraglutide group had the lowest and glimepiride the highest risk of reaching a composite outcome encompassing glycemic deterioration, weight gain, and hypoglycemia. These findings may inform decision-making regarding type 2 diabetes therapy.
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Affiliation(s)
- M. Sue Kirkman
- University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Mark Tripputi
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Ionut Bebu
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | | | - Henry Burch
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Rockville, MD
| | | | - Hermes Florez
- Department of Medicine, University of Miami, Miami, FL
- Medical University of South Carolina, Charleston, SC
| | | | | | - Maamoun Salam
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI
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Hoogendoorn CJ, Krause-Steinrauf H, Uschner D, Wen H, Presley CA, Legowski EA, Naik AD, Golden SH, Arends VL, Brown-Friday J, Krakoff JA, Suratt CE, Waltje AH, Cherrington AL, Gonzalez JS. Emotional Distress Predicts Reduced Type 2 Diabetes Treatment Adherence in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). Diabetes Care 2024; 47:629-637. [PMID: 38227900 PMCID: PMC10973907 DOI: 10.2337/dc23-1401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 10/18/2023] [Indexed: 01/18/2024]
Abstract
OBJECTIVE We examined longitudinal associations between emotional distress (specifically, depressive symptoms and diabetes distress) and medication adherence in Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE), a large randomized controlled trial comparing four glucose-lowering medications added to metformin in adults with relatively recent-onset type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS The Emotional Distress Substudy assessed medication adherence, depressive symptoms, and diabetes distress in 1,739 GRADE participants via self-completed questionnaires administered biannually up to 3 years. We examined baseline depressive symptoms and diabetes distress as predictors of medication adherence over 36 months. Bidirectional visit-to-visit relationships were also examined. Treatment satisfaction, beliefs about medication, diabetes care self-efficacy, and perceived control over diabetes were evaluated as mediators of longitudinal associations. RESULTS At baseline, mean ± SD age of participants (56% of whom were White, 17% Hispanic/Latino, 18% Black, and 66% male) was 58.0 ± 10.2 years, diabetes duration 4.2 ± 2.8 years, HbA1c 7.5% ± 0.5%, and medication adherence 89.9% ± 11.1%. Higher baseline depressive symptoms and diabetes distress were independently associated with lower adherence over 36 months (P < 0.001). Higher depressive symptoms and diabetes distress at one visit predicted lower adherence at the subsequent 6-month visit (P < 0.0001) but not vice versa. Treatment assignment did not moderate relationships. Patient-reported concerns about diabetes medications mediated the largest percentage (11.9%-15.5%) of the longitudinal link between emotional distress and adherence. CONCLUSIONS Depressive symptoms and diabetes distress both predict lower adherence to glucose-lowering medications over time among adults with T2DM. Addressing emotional distress and concerns about anticipated negative effects of taking these treatments may be important to support diabetes treatment adherence.
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Affiliation(s)
- Claire J. Hoogendoorn
- Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
| | - Heidi Krause-Steinrauf
- Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Diane Uschner
- Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Hui Wen
- Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Caroline A. Presley
- General Internal and Preventive Medicine, Department of Medicine, University of Alabama, Birmingham, Birmingham, AL
| | - Elizabeth A. Legowski
- Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Aanand D. Naik
- Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX
- University of Texas Health Science Center (UTHealth) School of Public Health, Houston, TX
- Consortium on Aging, University of Texas Health Science Center (UTHealth), Houston, TX
| | - Sherita Hill Golden
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Valerie L. Arends
- Advanced Research and Diagnostic Laboratory, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Janet Brown-Friday
- Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - Jonathan A. Krakoff
- Obesity and Diabetes Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Colleen E. Suratt
- Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | | | - Andrea L. Cherrington
- General Internal and Preventive Medicine, Department of Medicine, University of Alabama, Birmingham, Birmingham, AL
| | - Jeffrey S. Gonzalez
- Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
- New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY
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Gonzalez JS, Bebu I, Krause-Steinrauf H, Hoogendoorn CJ, Crespo-Ramos G, Presley C, Naik AD, Kuo S, Johnson ML, Wexler D, Crandall JP, Bantle AE, Arends V, Cherrington AL. Differential Effects of Type 2 Diabetes Treatment Regimens on Diabetes Distress and Depressive Symptoms in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). Diabetes Care 2024; 47:610-619. [PMID: 38416773 PMCID: PMC10973899 DOI: 10.2337/dc23-2459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 01/19/2024] [Indexed: 03/01/2024]
Abstract
OBJECTIVE We evaluated whether adding basal insulin to metformin in adults with early type 2 diabetes mellitus (T2DM) would increase emotional distress relative to other treatments. RESEARCH DESIGN AND METHODS The Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) of adults with T2DM of <10 years' duration, HbA1c 6.8-8.5%, and taking metformin monotherapy randomly assigned participants to add insulin glargine U-100, sulfonylurea glimepiride, the glucagon-like peptide-1 receptor agonist liraglutide, or the dipeptidyl peptidase 4 inhibitor sitagliptin. The Emotional Distress Substudy enrolled 1,739 GRADE participants (mean [SD] age 58.0 [10.2] years, 32% female, 56% non-Hispanic White, 18% non-Hispanic Black, 17% Hispanic) and assessed diabetes distress and depressive symptoms every 6 months. Analyses examined differences at 1 year and over the 3-year follow-up. RESULTS Across treatments, diabetes distress (-0.24, P < 0.0001) and depressive symptoms (-0.67, P < 0.0001) decreased over 1 year. Diabetes distress was lower at 1 year for the glargine group than for the other groups combined (-0.10, P = 0.002). Diabetes distress was also lower for liraglutide than for glimepiride or sitagliptin (-0.10, P = 0.008). Over the 3-year follow-up, there were no significant group differences in total diabetes distress; interpersonal diabetes distress remained lower for those assigned to liraglutide. No significant differences were observed for depressive symptoms. CONCLUSIONS Contrary to expectations, this randomized trial found no evidence for a deleterious effect of basal insulin on emotional distress. Glargine lowered diabetes distress modestly at 1 year rather than increasing it. Liraglutide also reduced diabetes distress at 1 year. Results can inform treatment decisions for adults with early T2DM.
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Affiliation(s)
- Jeffrey S. Gonzalez
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY
- New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, New York, NY
| | - Ionut Bebu
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Claire J. Hoogendoorn
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - Gladys Crespo-Ramos
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - Caroline Presley
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Aanand D. Naik
- School of Public Health, University of Texas Health Science Center, Houston, TX
| | - Shihchen Kuo
- Division of Metabolism, Endocrinology & Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI
| | | | - Deborah Wexler
- Diabetes Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Jill P. Crandall
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - Anne E. Bantle
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Valerie Arends
- Advanced Research and Diagnostic Laboratory, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Andrea L. Cherrington
- Department of Medicine (General Internal and Preventive Medicine), University of Alabama at Birmingham, Birmingham, AL
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Riddle MC. Individualizing Treatment of Type 2 Diabetes After Metformin: More Insights From GRADE. Diabetes Care 2024; 47:556-561. [PMID: 38527123 DOI: 10.2337/dci24-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 01/30/2024] [Indexed: 03/27/2024]
Affiliation(s)
- Matthew C Riddle
- Division of Endocrinology, Diabetes, and Clinical Nutrition, Oregon Health & Science University, Portland, OR
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Utzschneider KM, Younes N, Butera NM, Balasubramanyam A, Bergenstal RM, Barzilay J, DeSouza C, DeFronzo RA, Elasy T, Krakoff J, Kahn SE, Rasouli N, Valencia WM, Sivitz WI. Impact of Insulin Sensitivity and β-Cell Function Over Time on Glycemic Outcomes in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE): Differential Treatment Effects of Dual Therapy. Diabetes Care 2024; 47:571-579. [PMID: 38190619 PMCID: PMC10973903 DOI: 10.2337/dc23-1059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 10/10/2023] [Indexed: 01/10/2024]
Abstract
OBJECTIVE To compare the effects of insulin sensitivity and β-cell function over time on HbA1c and durability of glycemic control in response to dual therapy. RESEARCH DESIGN AND METHODS GRADE participants were randomized to glimepiride (n = 1,254), liraglutide (n = 1,262), or sitagliptin (n = 1,268) added to baseline metformin and followed for mean ± SD 5.0 ± 1.3 years, with HbA1c assessed quarterly and oral glucose tolerance tests at baseline, 1, 3, and 5 years. We related time-varying insulin sensitivity (HOMA 2 of insulin sensitivity [HOMA2-%S]) and early (0-30 min) and total (0-120 min) C-peptide (CP) responses to changes in HbA1c and glycemic failure (primary outcome HbA1c ≥7% [53 mmol/mol] and secondary outcome HbA1c >7.5% [58 mmol/mol]) and examined differential treatment responses. RESULTS Higher HOMA2-%S was associated with greater initial HbA1c lowering (3 months) but not subsequent HbA1c rise. Greater CP responses were associated with a greater initial treatment response and slower subsequent HbA1c rise. Higher HOMA2-%S and CP responses were each associated with lower risk of primary and secondary outcomes. These associations differed by treatment. In the sitagliptin group, HOMA2-%S and CP responses had greater impact on initial HbA1c reduction (test of heterogeneity, P = 0.009 HOMA2-%S, P = 0.018 early CP, P = 0.001 total CP) and risk of primary outcome (P = 0.005 HOMA2-%S, P = 0.11 early CP, P = 0.025 total CP) but lesser impact on HbA1c rise (P = 0.175 HOMA2-%S, P = 0.006 early CP, P < 0.001 total CP) in comparisons with the glimepiride and liraglutide groups. There were no differential treatment effects on secondary outcome. CONCLUSIONS Insulin sensitivity and β-cell function affected treatment outcomes irrespective of drug assignment, with greater impact in the sitagliptin group on initial (short-term) HbA1c response in comparison with the glimepiride and liraglutide groups.
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Affiliation(s)
- Kristina M. Utzschneider
- VA Puget Sound Health Care System and Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington, Seattle, WA
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Nicole M. Butera
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | | | - Joshua Barzilay
- Department of Endocrinology, Kaiser Permanente of Georgia, Duluth, GA
| | - Cyrus DeSouza
- Division of Diabetes, Endocrinology and Metabolism, University of Nebraska and Omaha VA Medical Center, Omaha, NE
| | - Ralph A. DeFronzo
- Diabetes Division, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Tom Elasy
- Vanderbilt University Medical Center, Nashville, TN
| | - Jonathan Krakoff
- Division of General Internal Medicine and Public Health, Southwestern American Indian Center, Phoenix, AZ
| | - Steven E. Kahn
- VA Puget Sound Health Care System and Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington, Seattle, WA
| | - Neda Rasouli
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, and VA Eastern Colorado Health Care System, Aurora, CO
| | - Willy M. Valencia
- Geriatric Research Education and Clinical Center, Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, FL
- Department of Public Health Sciences, University of Miami, Miami, FL
- Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL
- Endocrinology & Metabolism Institute, Cleveland Clinic, Cleveland, OH
| | - William I. Sivitz
- Department of Internal Medicine, Endocrinology and Metabolism, University of Iowa, Iowa City, IA
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Cherrington AL, Tripputi MT, Younes N, Herman WH, Katona A, Groessl EJ, Craig J, Gonzalez JS, Garg R, Casula S, Kuo S, Florez HJ. Impact of Glucose-Lowering Medications on Health-Related Quality of Life in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). Diabetes Care 2024; 47:603-609. [PMID: 38190625 PMCID: PMC10973906 DOI: 10.2337/dc23-1648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 11/26/2023] [Indexed: 01/10/2024]
Abstract
OBJECTIVE Diabetes is associated with reduced health-related quality of life (HRQoL). Information on the relationship between HRQoL and glucose-lowering medications in recently diagnosed type 2 diabetes (T2D) is limited. We assessed changes in HRQoL in participants with T2D receiving metformin plus one of four glucose-lowering medications in Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). RESEARCH DESIGN AND METHODS A total of 5,047 participants, baseline mean age 57 years, with <10 years T2D duration and glycated hemoglobin level 6.8-8.5% and taking metformin monotherapy, were randomly assigned to glargine, glimepiride, liraglutide, or sitagliptin. HRQoL was evaluated at baseline for 4,885 participants, and at years 1, 2, and 3, with use of the self-administered version of the Quality of Well-being Scale (QWB-SA) and SF-36 physical (PCS) and mental (MCS) component summary scales. Linear models were used to analyze changes in HRQoL over time in intention-to-treat analyses. RESULTS None of the medications worsened HRQoL. There were no differences in QWB-SA or MCS by treatment group at any time point. PCS scores improved with liraglutide versus other groups at year 1 only. Greater weight loss during year 1 explained half the improvement in PCS scores with liraglutide versus glargine and glimepiride. Liraglutide participants in the upper tertile of baseline BMI showed the greatest improvement in PCS scores at year 1. CONCLUSIONS Adding liraglutide to metformin in participants within 10 years of T2D diagnosis showed improvement in the SF-36 PCS in comparisons with the other medications at 1 year, which was no longer significant at years 2 and 3. Improvement was related to weight loss and baseline BMI.
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Affiliation(s)
- Andrea L. Cherrington
- Divisions of Preventive and General Internal Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Mark T. Tripputi
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - William H. Herman
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Aimee Katona
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Erik J. Groessl
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA
| | | | - Jeffrey S. Gonzalez
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
- Endocrinology, Department of Medicine, and Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Rajesh Garg
- Department of Medicine, University of Miami, Miami, FL
| | - Sabina Casula
- Endocrinology, Diabetes, and Metabolism, Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, FL
| | - Shihchen Kuo
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Hermes J. Florez
- Department of Medicine, University of Miami, Miami, FL
- Geriatric Research, Education, and Clinical Center, Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, FL
- Medical University of South Carolina, Charleston, SC
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Hollander PA, Krause-Steinrauf H, Butera NM, Kazemi EJ, Ahmann AJ, Fattaleh BN, Johnson ML, Killean T, Lagari VS, Larkin ME, Legowski EA, Rasouli N, Willis HJ, Martin CL. The Use of Rescue Insulin in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). Diabetes Care 2024; 47:638-645. [PMID: 37756542 PMCID: PMC10973913 DOI: 10.2337/dc23-0516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/18/2023] [Indexed: 09/29/2023]
Abstract
OBJECTIVE To describe rescue insulin use and associated factors in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). RESEARCH DESIGN AND METHODS GRADE participants (type 2 diabetes duration <10 years, baseline A1C 6.8%-8.5% on metformin monotherapy, N = 5,047) were randomly assigned to insulin glargine U-100, glimepiride, liraglutide, or sitagliptin and followed quarterly for a mean of 5 years. Rescue insulin (glargine or aspart) was to be started within 6 weeks of A1C >7.5%, confirmed. Reasons for delaying rescue insulin were reported by staff-completed survey. RESULTS Nearly one-half of GRADE participants (N = 2,387 [47.3%]) met the threshold for rescue insulin. Among participants assigned to glimepiride, liraglutide, or sitagliptin, rescue glargine was added by 69% (39% within 6 weeks). Rescue aspart was added by 44% of glargine-assigned participants (19% within 6 weeks) and by 30% of non-glargine-assigned participants (14% within 6 weeks). Higher A1C values were associated with adding rescue insulin. Intention to change health behaviors (diet/lifestyle, adherence to current treatment) and not wanting to take insulin were among the most common reasons reported for not adding rescue insulin within 6 weeks. CONCLUSIONS Proportionately, rescue glargine, when required, was more often used than rescue aspart, and higher A1C values were associated with greater rescue insulin use. Wanting to use noninsulin strategies to improve glycemia was commonly reported, although multiple factors likely contributed to not using rescue insulin. These findings highlight the persistent challenge of intensifying type 2 diabetes treatment with insulin, even in a clinical trial.
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Affiliation(s)
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Nicole M. Butera
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Erin J. Kazemi
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | | | | | - Mary L. Johnson
- International Diabetes Center at Park Nicollet, Minneapolis, MN
| | - Tina Killean
- Southwestern American Indian Center, Phoenix, AZ
| | | | | | - Elizabeth A. Legowski
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Neda Rasouli
- University of Colorado, School of Medicine, and VA Eastern Colorado Health Care System, Aurora, CO
| | - Holly J. Willis
- International Diabetes Center at Park Nicollet, Minneapolis, MN
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Green JB, Everett BM, Ghosh A, Younes N, Krause-Steinrauf H, Barzilay J, Desouza C, Inzucchi SE, Pokharel Y, Schade D, Scrymgeour A, Tan MH, Utzschneider KM, Mudaliar S. Cardiovascular Outcomes in GRADE (Glycemia Reduction Approaches in Type 2 Diabetes: A Comparative Effectiveness Study). Circulation 2024; 149:993-1003. [PMID: 38344820 PMCID: PMC10978227 DOI: 10.1161/circulationaha.123.066604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 01/05/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Cardiovascular disease is a major cause of morbidity and mortality in patients with type 2 diabetes. The effects of glucose-lowering medications on cardiovascular outcomes in individuals with type 2 diabetes and low cardiovascular risk are unclear. We investigated cardiovascular outcomes by treatment group in participants randomly assigned to insulin glargine, glimepiride, liraglutide, or sitagliptin, added to baseline metformin, in GRADE (Glycemia Reduction Approaches in Type 2 Diabetes: A Comparative Effectiveness Study). METHODS A total of 5047 participants with a mean±SD age of 57.2±10.0 years, type 2 diabetes duration of 4.0±2.7 years, and low baseline prevalence of cardiovascular disease (myocardial infarction, 5.1%; cerebrovascular accident, 2.0%) were followed for a median of 5 years. Prespecified outcomes included between-group time-to-first event analyses of MACE-3 (composite of major adverse cardiovascular events: cardiovascular death, myocardial infarction, and stroke), MACE-4 (MACE-3+unstable angina requiring hospitalization or revascularization), MACE-5 (MACE-4+coronary revascularization), MACE-6 (MACE-5+hospitalization for heart failure), and the individual components. MACE outcomes and hospitalization for heart failure in the liraglutide-treated group were compared with the other groups combined using Cox proportional hazards models. MACE-6 was also analyzed as recurrent events using a proportional rate model to compare all treatment groups. RESULTS We observed no statistically significant differences in the cumulative incidence of first MACE-3, MACE-4, MACE-5, or MACE-6, or their individual components, by randomized treatment group. However, when compared with the other treatment groups combined, the liraglutide-treated group had a significantly lower risk of MACE-5 (adjusted hazard ratio, 0.70 [95% CI, 0.54-0.91]; P=0.021), MACE-6 (adjusted hazard ratio, 0.70 [95% CI, 0.55-0.90]; P=0.021), and hospitalization for heart failure (adjusted hazard ratio, 0.49 [95% CI, 0.28-0.86]; P=0.022). Compared with the liraglutide group, significantly higher rates of recurrent MACE-6 events occurred in the groups treated with glimepiride (rate ratio, 1.61 [95% CI, 1.13-2.29]) or sitagliptin (rate ratio 1.75; [95% CI, 1.24-2.48]). CONCLUSIONS This comparative effectiveness study of a contemporary cohort of adults with type 2 diabetes, largely without established cardiovascular disease, suggests that liraglutide treatment may reduce the risk of cardiovascular events in patients at relatively low risk compared with other commonly used glucose-lowering medications. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT01794143.
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Affiliation(s)
- Jennifer B. Green
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Brendan M. Everett
- Divisions of Cardiovascular and Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Alokananda Ghosh
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, MD
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, MD
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Rockville, MD
| | - Joshua Barzilay
- Division of Endocrinology, Kaiser Permanente of Georgia, and Department of Endocrinology, Emory University School of Medicine, Atlanta, GA
| | - Cyrus Desouza
- Division of Diabetes, Endocrinology & Metabolism, University of Nebraska Medical Center, Omaha VA Medical Center, Omaha, NE
| | | | - Yashashwi Pokharel
- Division of Cardiology, Wake Forest University School of Medicine, Winston-Salem, NC
| | - David Schade
- Division of Endocrinology, University of New Mexico School of Medicine, Albuquerque, NM
| | - Alexandra Scrymgeour
- VA Cooperative Studies Program Clinical Research Pharmacy Coordinating Center, Albuquerque, NM
| | - Meng H. Tan
- Division of Metabolism, Endocrinology & Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | | | - Sunder Mudaliar
- VA San Diego Healthcare System and University of California, San Diego, CA
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Yang Y, Chen B, Zheng C, Zeng H, Zhou J, Chen Y, Su Q, Wang J, Wang J, Wang Y, Wang H, Jin R, Bo Z, Chen G, Wang Y. Association of glucose-lowering drug target and risk of gastrointestinal cancer: a mendelian randomization study. Cell Biosci 2024; 14:36. [PMID: 38504335 PMCID: PMC10953268 DOI: 10.1186/s13578-024-01214-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/27/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND & AIMS Glucose-lowering drug is associated with various cancers, but the causality with gastrointestinal cancer risk is rarely reported. We aimed to explore the causality between them in this Mendelian randomization (MR) study. METHODS Two-sample MR, summary-data-based (SMR), mediation MR, and colocalization analyses was employed. Ten glucose-lowering drug targets (PPARG, DPP4, GLP1R, INSR, SLC5A2, ABCC8, KCNJ11, ETFDH, GPD2, PRKAB1) and seven types of gastrointestinal cancer (anal carcinoma, cardia cancer, gastric cancer, hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), pancreatic cancer, rectum cancer) were included. Patients with gastrointestinal cancers from six different large GWAS databases, including the UK Biobank and Finnish cohorts were incorporated, for discovery and external validation. Meta-analysis was employed to integrate the results from both discovery and validation cohorts, thereby ensuring the reliability of findings. RESULTS ABCC8/KCNJ11 were associated with pancreatic cancer risk in both two-sample MR (odds ratio (OR): 15.058, per standard deviation unit (SD) change of glucose-lowering durg target perturbation equivalent to 1 SD unit of HbA1c lowering; 95% confidence interval (95% CI): 3.824-59.295; P-value = 0.0001) and SMR (OR: 1.142; 95% CI: 1.013-1.287; P-value = 0.030) analyses. The mediation effect of body mass index (OR: 0.938; 95% CI: 0.884-0.995; proportion of mediation effect: 3.001%; P-value = 0.033) on ABCC8/KCNJ11 and pancreatic cancer was uncovered. Strong connections of DPP4 with anal carcinoma (OR: 0.123; 95% CI: 0.020-0.745; P-value = 0.023) and ICC (OR: 7.733; 95% CI: 1.743-34.310; P-value = 0.007) were detected. PPARG was associated with anal carcinoma (OR: 12.909; 95% CI: 3.217-51.795; P-value = 0.0003), HCC (OR: 36.507; 95% CI: 8.929-149.259; P-value < 0.0001), and pancreatic cancer (OR: 0.110; 95% CI: 0.071-0.172; P-value < 0.0001). SLC5A2 was connected with pancreatic cancer (OR: 8.096; 95% CI: 3.476-18.857; P-value < 0.0001). Weak evidence indicated the connections of GLP1R, GPD2, and PRKAB1 with anal carcinoma, cardia cancer, ICC, and rectum cancer. In addition, the corresponding results were consistently validated in both the validation cohorts and the integrated outcomes. CONCLUSIONS Some glucose-lowering drugs were associated with gastrointestinal cancer risk, which might provide new ideas for gastrointestinal cancer treatment.
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Affiliation(s)
- Yi Yang
- Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Bo Chen
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chongming Zheng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hao Zeng
- Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Junxi Zhou
- Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Yaqing Chen
- Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Qing Su
- Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Jingxian Wang
- Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Juejin Wang
- Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | | | | | - Ruxue Jin
- Wenzhou Medical University, Wenzhou, China
| | - Zhiyuan Bo
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
| | - Gang Chen
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
- Zhejiang-Germany Interdisciplinary Joint Laboratory of Hepatobiliary-Pancreatic Tumor and Bioengineering, Zhejiang, China.
| | - Yi Wang
- Department of Epidemiology and Biostatistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.
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Brown-Friday J. Diversity in Clinical Trials: A Complicated Issue, Not a Simple Solution. Diabetes Spectr 2024; 37:186-192. [PMID: 38756428 PMCID: PMC11093758 DOI: 10.2337/ds24-0021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
This article is adapted from a speech Ms. Brown-Friday delivered in June 2023 as President, Health Care & Education, of the American Diabetes Association. She delivered her address at the Association's 83rd Scientific Sessions in San Diego, CA. A webcast of this speech is available for viewing on the DiabetesPro website (https://events.diabetes.org/live/25/page/186).
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Affiliation(s)
- Janet Brown-Friday
- Division of General Internal Medicine, Albert Einstein College of Medicine, Bronx, NY
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47
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Lu Y, Tian H, Peng H, Wang Q, Bunnell BA, Bazan NG, Hong S. Novel lipid mediator 7 S,14 R-docosahexaenoic acid: biogenesis and harnessing mesenchymal stem cells to ameliorate diabetic mellitus and retinal pericyte loss. Front Cell Dev Biol 2024; 12:1380059. [PMID: 38533089 PMCID: PMC10963555 DOI: 10.3389/fcell.2024.1380059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 02/29/2024] [Indexed: 03/28/2024] Open
Abstract
Introduction: Stem cells can be used to treat diabetic mellitus and complications. ω3-docosahexaenoic acid (DHA) derived lipid mediators are inflammation-resolving and protective. This study found novel DHA-derived 7S,14R-dihydroxy-4Z,8E,10Z,12E,16Z,19Z-docosahexaenoic acid (7S,14R-diHDHA), a maresin-1 stereoisomer biosynthesized by leukocytes and related enzymes. Moreover, 7S,14R-diHDHA can enhance mesenchymal stem cell (MSC) functions in the amelioration of diabetic mellitus and retinal pericyte loss in diabetic db/db mice. Methods: MSCs treated with 7S,14R-diHDHA were delivered into db/db mice i.v. every 5 days for 35 days. Results: Blood glucose levels in diabetic mice were lowered by 7S,14R-diHDHA-treated MSCs compared to control and untreated MSC groups, accompanied by improved glucose tolerance and higher blood insulin levels. 7S,14R-diHDHA-treated MSCs increased insulin+ β-cell ratio and decreased glucogan+ α-cell ratio in islets, as well as reduced macrophages in pancreas. 7S,14R-diHDHA induced MSC functions in promoting MIN6 β-cell viability and insulin secretion. 7S,14R-diHDHA induced MSC paracrine functions by increasing the generation of hepatocyte growth factor and vascular endothelial growth factor. Furthermore, 7S,14R-diHDHA enhanced MSC functions to ameliorate diabetes-caused pericyte loss in diabetic retinopathy by increasing their density in retina in db/db mice. Discussion: Our findings provide a novel strategy for improving therapy for diabetes and diabetic retinopathy using 7S,14R-diHDHA-primed MSCs.
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Affiliation(s)
- Yan Lu
- Neuroscience Center of Excellence, School of Medicine, L.S.U. Health, New Orleans, LA, United States
| | - Haibin Tian
- Neuroscience Center of Excellence, School of Medicine, L.S.U. Health, New Orleans, LA, United States
- Tongji University, Shanghai, China
| | - Hongying Peng
- Biostatistics, Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Quansheng Wang
- Neuroscience Center of Excellence, School of Medicine, L.S.U. Health, New Orleans, LA, United States
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Bruce A. Bunnell
- Tulane University School of Medicine, Center for Stem Cell Research and Regenerative Medicine, New Orleans, LA, United States
| | - Nicolas G. Bazan
- Neuroscience Center of Excellence, School of Medicine, L.S.U. Health, New Orleans, LA, United States
- Department of Ophthalmology, School of Medicine, L.S.U. Health, New Orleans, LA, United States
| | - Song Hong
- Neuroscience Center of Excellence, School of Medicine, L.S.U. Health, New Orleans, LA, United States
- Department of Ophthalmology, School of Medicine, L.S.U. Health, New Orleans, LA, United States
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Hsia DS, Younes N, Krause-Steinrauf H, Kassem LS. The incidence of retinopathy in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness study (GRADE). J Diabetes Complications 2024; 38:108692. [PMID: 38354481 PMCID: PMC10923170 DOI: 10.1016/j.jdiacomp.2024.108692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 01/19/2024] [Accepted: 02/02/2024] [Indexed: 02/16/2024]
Abstract
Based on self-report in the GRADE diabetes study, cumulative incidence of retinopathy was low over 5 years (3.7 %; 184 of 4098 participants) and did not differ among the 4 treatment groups (glargine 4.0 %, glimepiride 3.2 %, liraglutide 3.7 %, sitagliptin 3.8 %). There were no differences in retinopathy with specific therapies in GRADE. Clinicaltrials.gov identifier: NCT01794143.
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Affiliation(s)
- Daniel S Hsia
- Pennington Biomedical Research Center, Baton Rouge, LA, United States of America.
| | - Naji Younes
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, United States of America
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, United States of America
| | - Laure Sayyed Kassem
- Endocrine Section, Department of Medicine, Louis Stokes VA Medical Center, Cleveland, OH, United States of America; Division of Clinical and Molecular Endocrinology, Department of Medicine, Case Western Reserve University, Cleveland, OH, United States of America
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Silverii GA, Monami M, Gallo M, Ragni A, Prattichizzo F, Renzelli V, Ceriello A, Mannucci E. Glucagon-like peptide-1 receptor agonists and risk of thyroid cancer: A systematic review and meta-analysis of randomized controlled trials. Diabetes Obes Metab 2024; 26:891-900. [PMID: 38018310 DOI: 10.1111/dom.15382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 11/30/2023]
Abstract
AIM To conduct a meta-analysis of randomized clinical trials (RCTs) to investigate whether there is an association between glucagon-like peptide-1 receptor agonist (GLP-1RA) treatment and thyroid cancer. MATERIALS AND METHODS In this meta-analysis of RCTs, we included studies comparing a GLP-1RA with any comparator, lasting at least 52 weeks, and reporting the incidence of adverse events independently of the principal endpoint and population. All cases of thyroid cancer were collected. RESULTS We retrieved 64 trials, 26 of which reported at least one incident case of thyroid cancer. GLP-1RA treatment was associated with a significant increase in the risk of overall thyroid cancer (Mantel-Haenzel odds ratio [MH-OR] 1.52 [95% confidence interval {CI} 1.01, 2.29]; P = 0.04, I2 = 0%), with a fragility index of 1, and a 5-year number needed to harm of 1349. The association remained significant when including only trials lasting at least 104 weeks (MH-OR 1.76 [95% CI 1.00, 3.12]; P = 0.05). No significant association was found for papillary thyroid cancer (MH-OR 1.54 [95% CI 0.77, 3.06]; P = 0.22) or medullary thyroid cancer (MH-OR 1.44 [95% CI 0.23, 9.16]; P = 0.55). CONCLUSIONS Our meta-analysis showed that GLP-1RA treatment could be associated with a moderate increase in relative risk for thyroid cancer in clinical trials, with a small increase in absolute risk. Studies of longer duration are required to assess the clinical implications of this finding.
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Affiliation(s)
- Giovanni Antonio Silverii
- AOU Careggi, Diabetology Unit-Experimental and Clinical Biomedical Sciences "Mario Serio" Department, University of Florence, Florence, Italy
| | - Matteo Monami
- AOU Careggi, Diabetology Unit-Experimental and Clinical Biomedical Sciences "Mario Serio" Department, University of Florence, Florence, Italy
| | - Marco Gallo
- Endocrinology and Metabolic Diseases Unit, AO SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Alberto Ragni
- Endocrinology and Metabolic Diseases Unit, AO SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | | | | | | | - Edoardo Mannucci
- AOU Careggi, Diabetology Unit-Experimental and Clinical Biomedical Sciences "Mario Serio" Department, University of Florence, Florence, Italy
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50
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Bartziokas K, Papaioannou AI, Drakopanagiotakis F, Gouveri E, Papanas N, Steiropoulos P. Unraveling the Link between Ιnsulin Resistance and Bronchial Asthma. Biomedicines 2024; 12:437. [PMID: 38398039 PMCID: PMC10887139 DOI: 10.3390/biomedicines12020437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 02/10/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
Evidence from large epidemiological studies has shown that obesity may predispose to increased Th2 inflammation and increase the odds of developing asthma. On the other hand, there is growing evidence suggesting that metabolic dysregulation that occurs with obesity, and more specifically hyperglycemia and insulin resistance, may modify immune cell function and in some degree systemic inflammation. Insulin resistance seldom occurs on its own, and in most cases constitutes a clinical component of metabolic syndrome, along with central obesity and dyslipidemia. Despite that, in some cases, hyperinsulinemia associated with insulin resistance has proven to be a stronger risk factor than body mass in developing asthma. This finding has been supported by recent experimental studies showing that insulin resistance may contribute to airway remodeling, promotion of airway smooth muscle (ASM) contractility and proliferation, increase of airway hyper-responsiveness and release of pro-inflammatory mediators from adipose tissue. All these effects indicate the potential impact of hyperinsulinemia on airway structure and function, suggesting the presence of a specific asthma phenotype with insulin resistance. Epidemiologic studies have found that individuals with severe and uncontrolled asthma have a higher prevalence of glycemic dysfunction, whereas longitudinal studies have linked glycemic dysfunction to an increased risk of asthma exacerbations. Since the components of metabolic syndrome interact with one another so much, it is challenging to identify each one's specific role in asthma. This is why, over the last decade, additional studies have been conducted to determine whether treatment of type 2 diabetes mellitus affects comorbid asthma as shown by the incidence of asthma, asthma control and asthma-related exacerbations. The purpose of this review is to present the mechanism of action, and existing preclinical and clinical data, regarding the effect of insulin resistance in asthma.
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Affiliation(s)
| | - Andriana I. Papaioannou
- 1st University Department of Respiratory Medicine, “Sotiria” Hospital, National and Kapodistrian University of Athens, 15772 Athens, Greece;
| | - Fotios Drakopanagiotakis
- Department of Pneumonology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece;
| | - Evanthia Gouveri
- Diabetes Centre, 2nd Department of Internal Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (E.G.); (N.P.)
| | - Nikolaos Papanas
- Diabetes Centre, 2nd Department of Internal Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (E.G.); (N.P.)
| | - Paschalis Steiropoulos
- Department of Pneumonology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece;
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