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Yee-Ming M Cheung Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia
Division of Endocrinology, Diabetes and Metabolism, Northwell, Great Neck, New York, USA

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Rudolf Hoermann Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Karen Van Department of Endocrinology, Austin Health, Melbourne, Australia

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Damian Wu Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Jenny Healy Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Bella Halim Department of Endocrinology, Austin Health, Melbourne, Australia

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Manjri Raval Department of Endocrinology, Austin Health, Melbourne, Australia

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Maria McGill Department of Radiology, Austin Health, Melbourne, Australia

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Ali Al-Fiadh Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Cardiology, Austin Health, Melbourne Australia

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Michael Chao Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia

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Shane White Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia

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Belinda Yeo Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia
Olivia Newton-John Cancer Research Institute, Austin Health, Melbourne, Australia

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Jeffrey D Zajac Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia

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Mathis Grossmann Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia

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control groups for body composition or other markers of cardiometabolic health was not statistically significant ( 22 ). This study was a pre-planned 12-month extension to our original prospective cohort study. Our hypothesis was that in postmenopausal

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0076
Volume/Issue:
Volume 12: Issue 10
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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unwilling to adhere to the study intervention. Participants were assessed for glucose tolerance, substrate utilization, body composition, and strength at baseline following the 4-week intervention ( Fig. 1 ). Subjects had no prior experience with using NMES

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
Fabyan Esberard de Lima Beltrão Lauro Wanderley University Hospital, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
Postgraduate Program in Nutritional Sciences, Department of Nutrition, Center for Health Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
University Centre of João Pessoa (UNIPE), João Pessoa, Paraíba, Brazil

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Daniele Carvalhal de Almeida Beltrão University Centre of João Pessoa (UNIPE), João Pessoa, Paraíba, Brazil
Postgraduate Program in Cognitive Neuroscience and Behavior, Center for Health Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil

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Giulia Carvalhal Center for Biological and Health Sciences, Federal University of Campina Grande, Campina Grande, Paraíba, Brazil

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Fabyo Napoleão de Lima Beltrão Department of Medicine, Faculty of Medical Sciences, João Pessoa, Brazil

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Igor Motta de Aquino Metropolitan Hospital Dom José Maria Pires, Santa Rita, Paraíba, Brazil

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Thaíse da Silva Brito New Hope Medical School – FAMENE, João Pessoa, Paraíba, Brazil

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Barbara Costa Paulino Postgraduate Program in Nutritional Sciences, Department of Nutrition, Center for Health Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil

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Elisa Aires Postgraduate Program in Interactive Processes of Organs and Systems, Health & Science Institute, Federal University of Bahia, Salvador, Bahia, Brazil

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Diana Viegas Internal Medicine Department, rede UniFTC, Salvador, Bahia, Brazil

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Fabio Hecht The Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

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Bruno Halpern Weight Control Centre, Hospital 9 de Julho, São Paulo, São Paulo, Brazil

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Liana Clebia De Morais Pordeus Postgraduate Program in Cognitive Neuroscience and Behavior, Center for Health Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil

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Maria da Conceição Rodrigues Gonçalves Postgraduate Program in Nutritional Sciences, Department of Nutrition, Center for Health Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil

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Helton Estrela Ramos Postgraduate Program in Interactive Processes of Organs and Systems, Health & Science Institute, Federal University of Bahia, Salvador, Bahia, Brazil
Department of Biorregulation, Health Sciences Institute, Federal University of Bahia, Bahia, Brazil
Postgraduate Program in Medicine and Health, Medical School of Medicine, Federal University of Bahia, Salvador, Bahia, Brazil

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composition (the percentage of fat and fat-free mass) are risk factors considered more accurate than BMI to assess cardiometabolic risk ( 6 , 7 ); indeed, there is evidence that differences in both body composition and fat distribution lead to different COVID

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-22-0290
Volume/Issue:
Volume 11: Issue 10
Open access
Maria Houborg Petersen Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
Department of Clinical Research, University of Southern Denmark, Odense, Denmark

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Jacob Volmer Stidsen Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark

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Martin Eisemann de Almeida Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

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Emil Kleis Wentorf Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

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Kurt Jensen Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

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Niels Ørtenblad Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

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Kurt Højlund Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
Department of Clinical Research, University of Southern Denmark, Odense, Denmark

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effects of regular exercise training on insulin sensitivity, cardiorespiratory fitness, body composition, glycemic control, and lipid profile in patients with type 2 diabetes are well documented ( 3 , 4 ). Furthermore, there is evidence supporting a

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Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0558
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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). Body composition was assessed with bioelectrical impedance analysis, which correlates well with dual-energy x-ray absorptiometry under standardized conditions ( 12 ). Blood sampling was initiated at least 1 h after the arrival at the research facility

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Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0126
Volume/Issue:
Volume 12: Issue 7
Open access
Xiaobing Lu Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Jiang Yue Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Qianjing Liu Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Shengyun He Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Ying Dong Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Ming Zhang Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Yicheng Qi Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Minglan Yang Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Wang Zhang Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Hua Xu Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Qing Lu Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Jing Ma Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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, magnetic resonance imaging (MRI) has gained increasing attention in the measurement of adipose depots. With excellent image resolution, MRI is considered to be the most accurate method for determining body composition at the tissue-organ level, specifically

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0248
Volume/Issue:
Volume 12: Issue 11
Open access
Katrine M Lauritsen Steno Diabetes Center Aarhus, Aarhus, Denmark
Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
Danish Diabetes Academy, Odense University Hospital, Odense, Denmark

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Jens Hohwü Voigt Steno Diabetes Center Aarhus, Aarhus, Denmark

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Steen Bønløkke Pedersen Steno Diabetes Center Aarhus, Aarhus, Denmark
Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark

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Troels K Hansen Steno Diabetes Center Aarhus, Aarhus, Denmark

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Niels Møller Steno Diabetes Center Aarhus, Aarhus, Denmark
Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark

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Niels Jessen Steno Diabetes Center Aarhus, Aarhus, Denmark
Department of Biomedicine, Aarhus University, Aarhus, Denmark

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Lars C Gormsen Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark

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Esben Søndergaard Steno Diabetes Center Aarhus, Aarhus, Denmark
Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
Danish Diabetes Academy, Odense University Hospital, Odense, Denmark

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assess body composition. Secondly, an adipose tissue biopsy was obtained from abdominal s.c. adipose tissue for the analysis of intracellular pathways involved in lipid storage and lipolysis. Thirdly, after 30 min of rest, patients were examined with

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Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-21-0558
Volume/Issue:
Volume 11: Issue 4
Open access
Philippe Jean-Luc Gradidge Centre for Exercise Science and Sports Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

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Nicole G Jaff Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

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Shane A Norris SAMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Global Health Research Institute, School of Human Development and Health, University of Southampton, Southampton, UK

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Marketa Toman Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

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Nigel J Crowther Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

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-min interval between each reading. The first reading was discarded, and the remaining two values were averaged. Dual-energy X-ray absorptiometry measurements Whole-body composition was measured using a Hologic QDR 4500A DXA machine and analysed

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Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-22-0156
Volume/Issue:
Volume 11: Issue 12
Open access
Laura Hasse Department of Pediatric Dermatology and Allergology, Children’s Hospital Auf der Bult, Hannover, Germany

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Dagmar Jamiolkowski Department of Pediatric Dermatology and Allergology, Children’s Hospital Auf der Bult, Hannover, Germany

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Felix Reschke Department of Pediatric Diabetology, Children’s Hospital Auf der Bult, Hannover, Germany

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Kerstin Kapitzke Department of Pediatric Diabetology, Children’s Hospital Auf der Bult, Hannover, Germany

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Jantje Weiskorn Department of Pediatric Diabetology, Children’s Hospital Auf der Bult, Hannover, Germany

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Olga Kordonouri Department of Pediatric Diabetology, Children’s Hospital Auf der Bult, Hannover, Germany

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Torben Biester Department of Pediatric Diabetology, Children’s Hospital Auf der Bult, Hannover, Germany

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Hagen Ott Department of Pediatric Dermatology and Allergology, Children’s Hospital Auf der Bult, Hannover, Germany

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-specific median BMI value. To obtain more precise information on body composition, a bioimpedance analysis (BIA) was also performed (Nutribox, Data Input GmbH, Pöcking) ( 19 ). Thus, body fat (BF), total body water (TBW), lean body mass (LBM) and phase angles were

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Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0235
Volume/Issue:
Volume 12: Issue 9
Open access
Giovanni Fanni Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden

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Petros Katsogiannos Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden

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Bipasha Nandi Jui Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden

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Magnus Sundbom Department of Surgical Sciences, Uppsala University, Uppsala, Sweden

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Susanne Hetty Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden

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Maria J Pereira Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden

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Jan W Eriksson Department of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden

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even 4 weeks after RYGB. Our data suggest that RYGB can restore GH-axis functionality via weight reduction and associated changes in body composition in patients with T2DM. Even though arginine is known to stimulate pituitary somatotrope cells ( 30

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-22-0172
Volume/Issue:
Volume 11: Issue 8
Open access