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Frampton R, Snaith JR, Hocking S, Holmes-Walker J, Olsen N, Greenfield JR. Reducing cardiometabolic risk with semaglutide in type 1 diabetes (RESET1): Study protocol of a phase 2 double-blinded randomised placebo-controlled trial. Diabet Med 2024:e15377. [PMID: 38853340 DOI: 10.1111/dme.15377] [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: 02/15/2024] [Revised: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND Premature cardiovascular disease is the leading cause of death in people living with type 1 diabetes. Therapies are urgently needed to address cardiovascular risk in this group. Semaglutide, a long-acting glucagon-like peptide-1 receptor agonist, has been shown to reduce cardiovascular events and improve weight and glycaemia in type 2 diabetes. Semaglutide may offer cardioprotective and metabolic benefits in type 1 diabetes. METHODS We will study 60 adults aged 25-70 years with type 1 diabetes of duration at least 2 years, body mass index ≥25 kg/m2, HbA1c ≥7% and at least one cardiovascular risk factor (microalbuminuria, hypertension or anti-hypertensive treatment, hyperlipidemia or lipid lowering therapy, current smoking). Participants will receive semaglutide up to 1.0 mg weekly or matched placebo for 26 weeks. The primary outcome is carotid femoral pulse wave velocity, a measure of arterial stiffness, as a surrogate marker of cardiovascular risk. Potential mechanisms for metabolic changes will be explored including change in insulin sensitivity determined by hyperinsulinaemic-euglycaemic clamp; and incretin and pancreatic hormone action measured during mixed meal tolerance test. CONCLUSION The REducing cardiometabolic risk with SEmaglutide in Type 1 diabetes study will investigate whether semaglutide, a long acting glucagon-like peptide receptor agonist, can improve markers of cardiometabolic health in T1D. Underlying mechanisms predicting response, including insulin resistance and incretin hormone status, will also be explored.
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Affiliation(s)
- Ruth Frampton
- Clinical Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- St Vincent's Clinical Campus, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Diabetes and Endocrinology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
- Department of Diabetes and Endocrinology, The Canberra Hospital, Garran, Australian Capital Territory, Australia
| | - Jennifer R Snaith
- Clinical Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- St Vincent's Clinical Campus, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Diabetes and Endocrinology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
| | - Samantha Hocking
- Charles Perkins Centre, Sydney Medical School, The University of Sydney, New South Wales, Australia
| | - Jane Holmes-Walker
- Westmead Clinical School, Sydney Medical School, The University of Sydney, Westmead, New South Wales, Australia
| | - Nicholas Olsen
- Stats Central, University of New South Wales, Sydney, New South Wales, Australia
| | - Jerry R Greenfield
- Clinical Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- St Vincent's Clinical Campus, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Diabetes and Endocrinology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
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Januszewski AS, Niedzwiecki P, Sachithanandan N, Ward GM, Karschimkus CS, O'Neal DN, Zozulinska-Ziolkiewicz DA, Uruska AA, Jenkins AJ. Independent euglycaemic hyperinsulinaemic clamp studies validate clinically applicable formulae to estimate insulin sensitivity in people with type 1 diabetes. Diabetes Metab Syndr 2023; 17:102691. [PMID: 36508938 DOI: 10.1016/j.dsx.2022.102691] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 07/10/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIM Low insulin sensitivity (IS) increases Type 1 diabetes (T1D) complication risk and can be estimated by simple formulae developed from complex euglycemic hyperinsulinaemic clamp studies. We aimed to validate these formulae using independent clamp data. METHODS Clamps were performed in 104 T1D adults. Measured glucose disposal rate (GDR) was correlated with eGDR and eLog10 M/I calculated by five IS formulae. RESULTS Correlations ranged between 0.23-0.40. Two IS formulae (by the authors), using age, sex, HDL-C, HbA1c, pulse pressure, BMI, and waist-hip-ratio had the highest correlation with measured GDR and the best performance in detecting low IS.
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Affiliation(s)
- Andrzej S Januszewski
- NHMRC Clinical Trials Centre, University of Sydney, Australia; Department of Medicine, University of Melbourne, Australia.
| | - Pawel Niedzwiecki
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poland
| | | | - Glenn M Ward
- Department of Medicine, University of Melbourne, Australia
| | | | - David N O'Neal
- Department of Medicine, University of Melbourne, Australia
| | | | - Aleksandra A Uruska
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poland
| | - Alicia J Jenkins
- NHMRC Clinical Trials Centre, University of Sydney, Australia; Department of Medicine, University of Melbourne, Australia
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