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Niels B Dalsgaard Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark

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Lærke S Gasbjerg Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

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Laura S Hansen Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark

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Dennis S Nielsen Department of Food Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark

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Torben S Rasmussen Department of Food Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark

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Filip K Knop Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Steno Diabetes Center Copenhagen, Gentofte, Denmark

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as the alpha-glucosidase located in the brush border of the small intestine, thereby limiting carbohydrate digestion and thus absorption of glucose. The resulting propelling of undigested carbohydrates to the distal and L cell-rich parts of the gut

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-24-0052
Volume/Issue:
Volume 13: Issue 7
Open access
Jonathan Hazlehurst Department of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK

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Bernard Khoo Endocrinology, Division of Medicine, University College London, London, UK

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Carolina Brito Lobato Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Department of Medicine, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark

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Ibiyemi Ilesanmi Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK

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Sally Abbott Department of Dietetics, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK

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Tin Chan Faculty of Medicine, Chinese University of Hong Kong, Hong Kong

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Sanesh Pillai Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK

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Kate Maslin School of Nursing and Midwifery, University of Plymouth, Plymouth, UK

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Sanjay Purkayastha Brunel University, London, UK
Imperial College Healthcare NHS Trust, St Mary’s Hospital, London, UK

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Barbara McGowan Endocrinology, Guys’ and St Thomas’s NHS Foundation Trust, London, UK

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Rob Andrews University of Exeter Medical School, Exeter, UK

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Eveleigh Nicholson Portsmouth Hospitals University NHS Trust, Portsmouth, UK

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Katherine McCullough Royal Surrey County Hospital, Guildford, UK

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Lorraine Albon University Hospitals Sussex NHS Foundation Trust, Worthing, UK

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Rachel Batterham Endocrinology, Division of Medicine, University College London, London, UK

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Georgios K Dimitriadis King's College Hospital NHS Foundation Trust, London, UK

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Shareen Forbes BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK

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Gavin Bewick School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK

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Tricia M-M Tan Section of Endocrinology and Investigative Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK

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nutritional deficiencies according to accepted guidance. High 2.3 Dietary advice for PBH should include eating controlled portions of carbohydrates, together with reinforcement of the post-bariatric eating strategy. Suggested strategies include

Article Type:
Other
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0285
Volume/Issue:
Volume 13: Issue 5
Open access
Patricia Arroyo Tardio University Hospital Basel, Basel, Switzerland

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Gabriela Baldini University Clinic of Medicine, Cantonal Hospital Baselland, Liestal, Switzerland

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Eleonora Seelig University Hospital Basel, Basel, Switzerland
University Clinic of Medicine, Cantonal Hospital Baselland, Liestal, Switzerland

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, participants were asked to consume a study meal containing 2080 kcal within 15 min. The study meal consisted of two buns, 162 g of cheese, two hard-boiled eggs, and two chocolate-flavored protein milkshakes, each with 40 g of added sugar (40% carbohydrates, 35

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0126
Volume/Issue:
Volume 12: Issue 7
Open access
Svjatoslavs Kistkins Pauls Stradiņš Clinical University Hospital, Riga, Latvia

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Othmar Moser Division of Exercise Physiology and Metabolism, Institute of Sport Science, University of Bayreuth, Bayreuth, Germany

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Vitālijs Ankudovičs Pauls Stradiņš Clinical University Hospital, Riga, Latvia

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Dmitrijs Blizņuks Institute of Smart Computing Technologies, Riga Technical University, Riga, Latvia

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Timurs Mihailovs Institute of Smart Computing Technologies, Riga Technical University, Riga, Latvia

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Sergejs Lobanovs Pauls Stradiņš Clinical University Hospital, Riga, Latvia

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Harald Sourij Trials Unit for Interdisciplinary Metabolic Medicine, Division of Endocrinology and Diabetolgoy, Medical University of Graz, Graz, Austria

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Andreas F H Pfeiffer Department of Endocrinology and Metabolic Medicine, Campus Benjamin Franklin, Charité University Medicine, Hindenburgdamm, Berlin, Germany

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Valdis Pīrāgs Pauls Stradiņš Clinical University Hospital, Riga, Latvia
Faculty of Medicine, University of Latvia, Riga, Latvia

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maintain normoglycaemia and normal body weight. Increased intake of carbohydrates stimulates GLP-1 secretion and insulin secretion, both GLP-1 and insulin decrease glucagon secretion. In this scenario, increased insulin levels promote glucose uptake and

Article Type:
Review Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0529
Volume/Issue:
Volume 13: Issue 5
Open access
David Q Pham Western University of Health Sciences, College of Pharmacy, Pomona, California, USA
Mary & Dick Allen Diabetes Center at Hoag Hospital, Newport Beach, California, USA

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Ashley Thorsell Sansum Diabetes Research Institute, Santa Barbara, California, USA

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Kristin Castorino Sansum Diabetes Research Institute, Santa Barbara, California, USA

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Brandon Cobb Sansum Diabetes Research Institute, Santa Barbara, California, USA

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the dietary intake of women who were pregnant or planning (UK population only) Overall caloric and carbohydrate intake was similar in both groups. Fat and nonrecommended carbohydrate sources (sugars, preserves, biscuits, cakes) were high in both

Article Type:
Review Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0407
Volume/Issue:
Volume 13: Issue 2
Open access
Rama Lakshman Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK

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Charlotte Boughton Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
Cambridge University Hospitals NHS Foundation Trust, Wolfson Diabetes and Endocrine Clinic, Cambridge, UK

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Roman Hovorka Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK

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in children, with a decrease in hypoglycaemia in both cohorts ( 63 , 64 ). Future: emerging directions in automated insulin delivery Simplified meal announcements All currently available HCL systems require users to count carbohydrates

Article Type:
Review Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0132
Volume/Issue:
Volume 12: Issue 8
Open access
Michelle J Galvan Metabolic, Nutrition, and Exercise Research (MiNER) Laboratory, Department of Kinesiology, University of Texas at El Paso, El Paso, Texas, USA

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Michael J Sanchez Metabolic, Nutrition, and Exercise Research (MiNER) Laboratory, Department of Kinesiology, University of Texas at El Paso, El Paso, Texas, USA

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Andrew J McAinch Institute for Health and Sport (IHES), Victoria University, Melbourne, Victoria, Australia
Australian Institute for Musculoskeletal Science (AIMSS), Victoria University, Melbourne, Victoria, Australia

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Jeffrey D Covington Department of Pathology, University of Massachusetts Medical School, Worcester, Massachusetts, USA

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Jason B Boyle Metabolic, Nutrition, and Exercise Research (MiNER) Laboratory, Department of Kinesiology, University of Texas at El Paso, El Paso, Texas, USA

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Sudip Bajpeyi Metabolic, Nutrition, and Exercise Research (MiNER) Laboratory, Department of Kinesiology, University of Texas at El Paso, El Paso, Texas, USA

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. Figure 1 Study design. B, baseline testing; CHO, carbohydrate; D, day; DXA, dual-energy X-ray absorptiometry; Lac, blood lactate level; NMES, neuromuscular electrical stimulation; P, post-testing; S, screening; SD, standard diet. * Less than 24–36 h

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-21-0533
Volume/Issue:
Volume 11: Issue 2
Open access
Kathryn Lingen Close Concerns, San Francisco, California, USA

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Talia Pikounis Close Concerns, San Francisco, California, USA

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Natalie Bellini University Hospitals, Cleveland, Ohio, USA

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Diana Isaacs Cleveland Clinic, Cleveland, Ohio, USA

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Button ( 25 ). The Lilly Tempo Button also can integrate with Apple Health to incorporate physical activity into the data reports, and has education embedded in the mobile app. It also has a feature that provides an estimated carbohydrate count of a

Article Type:
Review Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0108
Volume/Issue:
Volume 12: Issue 11
Open access
Yang Yu Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Hairong Hao Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Linghui Kong Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Jie Zhang Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Feng Bai Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Fei Guo Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Pan Wei Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Rui Chen Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Wen Hu Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China

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Metabolite classification overview A total of 182 metabolites were identified in this study, and the mean abundance composition of each metabolite type in all the samples is shown in Fig. 3A , which shows that amino acids, carbohydrates, organic acids and

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0079
Volume/Issue:
Volume 12: Issue 10
Open access
Benjamin D Maylor Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford, UK
Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, UK

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Julia K Zakrzewski-Fruer Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford, UK

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Charlie J Orton Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford, UK

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Daniel P Bailey Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford, UK
Centre for Physical Activity in Health and Disease, Brunel University London, Uxbridge, UK
Division of Sport, Health and Exercise Sciences, Department of Life Sciences, Brunel University London, Uxbridge, UK

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breakfast meal comprising ecologically valid food items ( 25 , 26 ). The macronutrient composition was 55% carbohydrate, 30% fat, and 15% protein; the meal glycaemic index was 79. Energy requirements for each participant were estimated using the Mifflin

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-22-0259
Volume/Issue:
Volume 12: Issue 2
Open access