1
|
Eriksen R, White MC, Dawed AY, Perez IG, Posma JM, Haid M, Sharma S, Prehn C, Thomas EL, Koivula RW, Bizzotto R, Mari A, Giordano GN, Pavo I, Schwenk JM, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Rutters F, Beulens J, Muilwijk M, Blom M, Elders P, Hansen TH, Fernandez-Tajes J, Jones A, Jennison C, Walker M, McCarthy MI, Pedersen O, Ruetten H, Forgie I, Holst JJ, Thomsen HS, Ridderstråle M, Bell JD, Adamski J, Franks PW, Hansen T, Holmes E, Frost G, Pearson ER. The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study. J Clin Endocrinol Metab 2024; 109:e1697-e1707. [PMID: 38686701 PMCID: PMC11318998 DOI: 10.1210/clinem/dgae119] [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: 08/11/2023] [Revised: 11/20/2023] [Accepted: 02/27/2024] [Indexed: 05/02/2024]
Abstract
CONTEXT The role of glucagon-like peptide-1 (GLP-1) in type 2 diabetes (T2D) and obesity is not fully understood. OBJECTIVE We investigate the association of cardiometabolic, diet, and lifestyle parameters on fasting and postprandial GLP-1 in people at risk of, or living with, T2D. METHODS We analyzed cross-sectional data from the two Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohorts, cohort 1 (n = 2127) individuals at risk of diabetes; cohort 2 (n = 789) individuals with new-onset T2D. RESULTS Our multiple regression analysis reveals that fasting total GLP-1 is associated with an insulin-resistant phenotype and observe a strong independent relationship with male sex, increased adiposity, and liver fat, particularly in the prediabetes population. In contrast, we showed that incremental GLP-1 decreases with worsening glycemia, higher adiposity, liver fat, male sex, and reduced insulin sensitivity in the prediabetes cohort. Higher fasting total GLP-1 was associated with a low intake of wholegrain, fruit, and vegetables in people with prediabetes, and with a high intake of red meat and alcohol in people with diabetes. CONCLUSION These studies provide novel insights into the association between fasting and incremental GLP-1, metabolic traits of diabetes and obesity, and dietary intake, and raise intriguing questions regarding the relevance of fasting GLP-1 in the pathophysiology T2D.
Collapse
Affiliation(s)
- Rebeca Eriksen
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Margaret C White
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee DD1 9SY, UK
| | - Adem Y Dawed
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee DD1 9SY, UK
| | - Isabel Garcia Perez
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Joram M Posma
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
- Health Data Research UK, London NW1 2BE, UK
| | - Mark Haid
- Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), D-85764 Neuherberg, Germany
| | - Sapna Sharma
- German Center for Diabetes Research, 85764 Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764 Bavaria, Germany
| | - Cornelia Prehn
- Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), D-85764 Neuherberg, Germany
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London W1W 6UW, UK
| | - Robert W Koivula
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Skåne University Hospital, 221 00 Malmö, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 7LE, UK
| | - Roberto Bizzotto
- Institute of Neuroscience–National Research Council, 35127 Padua, Italy
| | - Andrea Mari
- Institute of Neuroscience–National Research Council, 35127 Padua, Italy
| | - Giuseppe N Giordano
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Skåne University Hospital, 221 00 Malmö, Sweden
| | - Imre Pavo
- Eli Lilly Regional Operations GmbH, 1030 Vienna, Austria
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH—Royal Institute of Technology, SE-100 44 Stockholm, Sweden
| | - Federico De Masi
- Department of Health Technology, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, Technical University of Denmark, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Konstantinos D Tsirigos
- Department of Health Technology, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, Technical University of Denmark, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Søren Brunak
- Department of Health Technology, Kgs Lyngby and The Novo Nordisk Foundation Center for Protein Research, Technical University of Denmark, University of Copenhagen, 2200 Copenhagen, Denmark
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Ana Viñuela
- Biosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Timothy J McDonald
- NIHR Exeter Clinical Research Facility, Royal Devon & Exeter Hospital, Exeter EX2 5DW, UK
| | - Tarja Kokkola
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, FI-70211 Kuopio, Finland
| | - Femke Rutters
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, 1007 Amsterdam, the Netherlands
| | - Joline Beulens
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, 1007 Amsterdam, the Netherlands
| | - Mirthe Muilwijk
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, 1007 Amsterdam, the Netherlands
| | - Marieke Blom
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, 1007 Amsterdam, the Netherlands
| | - Petra Elders
- Department of Epidemiology and data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, 1007 Amsterdam, the Netherlands
| | - Tue H Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, 2200 Copenhagen, Denmark
| | | | - Angus Jones
- NIHR Exeter Clinical Research Facility, Royal Devon & Exeter Hospital, Exeter EX2 5DW, UK
| | - Chris Jennison
- Department of Mathematical Sciences, University of Bath, Bath BA2 7AY, UK
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne NE3 1DQ, UK
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 7LE, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LH, UK
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Hartmut Ruetten
- Sanofi-Aventis Deutschland GmbH, R&D, 65926 Frankfurt am Main, Germany
| | - Ian Forgie
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee DD1 9SY, UK
| | - Jens J Holst
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, 2200 Copenhagen, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Henrik S Thomsen
- Faculty of Medical and Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | | | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London W1W 6UW, UK
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), D-85764 Neuherberg, Germany
- Lehrstuhl für Experimentelle Genetik, Technische Universität München, 85350 Freising-Weihenstephan, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Skåne University Hospital, 221 00 Malmö, Sweden
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Elaine Holmes
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Gary Frost
- Section for Nutrition Research, Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Ewan R Pearson
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee DD1 9SY, UK
| |
Collapse
|
2
|
Karpińska I, Dowgiałło-Gornowicz N, Franczak P, Orłowski M, Lech P, Kowalski G, Major P. Factors contributing to weight loss success after bariatric procedures in patient over 65 years old: a multicenter retrospective cohort study. Int J Surg 2024; 110:4893-4899. [PMID: 38729122 PMCID: PMC11325908 DOI: 10.1097/js9.0000000000001588] [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: 01/15/2024] [Accepted: 04/26/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Although bariatric surgery in patients over 65 years of age gives comparable results to treatment in the younger population, there are still controversies regarding the indications for surgery, risk assessment, and choice between different types of surgery. The study aimed to identify the factors contributing to weight loss success after bariatric surgery in patients over 65 years of age. MATERIAL AND METHODS This is a retrospective, multicenter cohort study of patients with obesity aged over 65 years undergoing primary laparoscopic bariatric surgery in the years 2008-2022. Data came from 11 bariatric centers. Patients were divided into two groups: responders (R) who achieved more than 50% EWL and nonresponders (NR) who achieved less than 50% EWL. Both groups were compared. Uni- and multivariate logistic regression was used to identify predictors of weight loss success. RESULTS Out of 274 analyzed patients, the average BMI before surgery was 42.9 kg/m 2 . The most common obesity-related diseases were hypertension (85.1%) and type 2 diabetes (53.3%). Sleeve gastrectomy was the most frequently performed procedure (85.4%). Uni- and multivariate logistic regression analysis confirmed preoperative BMI (OR=0.9, 95% CI: 0.82-0.98, P =0.02), duration of diabetes >10 years (OR=0.3, 95% CI: 0.09-0.82, P =0.02), balloon placement (OR=10.6, 95% CI: 1.33-84.83, P =0.03), time since first visit (OR=0.9, 95% CI: 0.84-0.99, P =0.04), preoperative weight loss (OR=0.9, 95% CI: 0.86-0.98, P =0.01), and OAGB (OR=15.7, 95% CI: 1.71-143.99, P =0.02) to have a significant impact on weight loss success 1 year after bariatric surgery. CONCLUSIONS Patients with higher preoperative weight loss may have a poorer response to surgery. OAGB emerged as the most beneficial type of surgery in terms of weight loss. Intragastric balloon placement before surgery may be effective in patients above 65 years of age and may be considered as a two-stage approach.
Collapse
Affiliation(s)
- Izabela Karpińska
- 2nd Department of General Surgery, Jagiellonian University Medical College
- Doctoral School of Medical and Health Sciences, Jagiellonian University Medical College, Cracow
| | - Natalia Dowgiałło-Gornowicz
- Department of General, Minimally Invasive and Elderly Surgery, Collegium Medicum, University of Warmia and Mazury, Olsztyn
| | - Paula Franczak
- Department of General and Oncological Surgery, Ceynowa Hospital, Wejherowo
| | - Michał Orłowski
- Department of General and Oncological Surgery, Ceynowa Hospital, Wejherowo
| | - Paweł Lech
- Department of General, Minimally Invasive and Elderly Surgery, Collegium Medicum, University of Warmia and Mazury, Olsztyn
| | | | - Piotr Major
- 2nd Department of General Surgery, Jagiellonian University Medical College
| |
Collapse
|
3
|
Liu Y, Bharmal SH, Kimita W, Petrov MS. Effect of d-β-Hydroxybutyrate-(R)-1,3 Butanediol on Appetite Regulation in People with Prediabetes. Mol Nutr Food Res 2023; 67:e2200615. [PMID: 36565045 DOI: 10.1002/mnfr.202200615] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/22/2022] [Indexed: 12/25/2022]
Abstract
SCOPE The main aim of the present study is to study the effect of acute ketosis on parameters of appetite regulation in prediabetes. METHODS AND RESULTS This is a randomized controlled trial registered under ClinicalTrials.gov identifier NCT03889210. After an overnight fast, 18 adults with prediabetes are assigned to consume a ketone monoester (d-β-hydroxybutyrate-(R)-1,3 butanediol) drink and a placebo drink in cross-over fashion. Blood samples are collected every 30 min, from baseline to 150 min. Paired t test is used to compare the total area under the curve (AUC) for the changes in parameters of appetite regulation (acylated ghrelin, peptide YY [PYY], and hunger) following both drinks. Significant elevation in blood β-hydroxybutyrate from 0.2 to 3.5 mmol L-1 (p < 0.001) is achieved within 30 min. Acute ketosis does not result in statistically significant differences in the AUCs for ghrelin, PYY, and hunger. CONCLUSION Acute ketosis consistently does not affect both objective and subjective parameters of appetite regulation in prediabetes.
Collapse
Affiliation(s)
- Yutong Liu
- School of Medicine, University of Auckland, Auckland, 1023, New Zealand
| | - Sakina H Bharmal
- School of Medicine, University of Auckland, Auckland, 1023, New Zealand
| | - Wandia Kimita
- School of Medicine, University of Auckland, Auckland, 1023, New Zealand
| | - Maxim S Petrov
- School of Medicine, University of Auckland, Auckland, 1023, New Zealand
| |
Collapse
|
4
|
Rebelos E, Iozzo P, Guzzardi MA, Brunetto MR, Bonino F. Brain-gut-liver interactions across the spectrum of insulin resistance in metabolic fatty liver disease. World J Gastroenterol 2021; 27:4999-5018. [PMID: 34497431 PMCID: PMC8384743 DOI: 10.3748/wjg.v27.i30.4999] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 04/29/2021] [Accepted: 07/13/2021] [Indexed: 02/06/2023] Open
Abstract
Metabolic associated fatty liver disease (MAFLD), formerly named "nonalcoholic fatty liver disease" occurs in about one-third of the general population of developed countries worldwide and behaves as a major morbidity and mortality risk factor for major causes of death, such as cardiovascular, digestive, metabolic, neoplastic and neuro-degenerative diseases. However, progression of MAFLD and its associated systemic complications occur almost invariably in patients who experience the additional burden of intrahepatic and/or systemic inflammation, which acts as disease accelerator. Our review is focused on the new knowledge about the brain-gut-liver axis in the context of metabolic dysregulations associated with fatty liver, where insulin resistance has been assumed to play an important role. Special emphasis has been given to digital imaging studies and in particular to positron emission tomography, as it represents a unique opportunity for the noninvasive in vivo study of tissue metabolism. An exhaustive revision of targeted animal models is also provided in order to clarify what the available preclinical evidence suggests for the causal interactions between fatty liver, dysregulated endogenous glucose production and insulin resistance.
Collapse
Affiliation(s)
- Eleni Rebelos
- Turku PET Centre, University of Turku, Turku 20500, Finland
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council, Pisa 56124, Italy
| | | | - Maurizia Rossana Brunetto
- Hepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis, Pisa University Hospital, Pisa 56121, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa 56121, Italy
- Institute of Biostructure and Bioimaging, National Research Council, Napoli 80145, Italy
| | - Ferruccio Bonino
- Institute of Biostructure and Bioimaging, National Research Council, Napoli 80145, Italy
| |
Collapse
|
5
|
Gilijamse PW, Demirkiran A, van Wagensveld BA, Ackermans MT, Romijn JA, Nieuwdorp M, Ter Horst KW, Serlie MJ. The relation between postprandial glucagon-like peptide-1 release and insulin sensitivity before and after bariatric surgery in humans with class II/III obesity. Surg Obes Relat Dis 2021; 17:1440-1448. [PMID: 34083134 DOI: 10.1016/j.soard.2021.04.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/31/2021] [Accepted: 04/22/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Glucagon-like peptide-1 (GLP-1) receptor agonist treatment is beneficial for the human glucose metabolism, and GLP-1 secretion is greatly enhanced following Roux-en-Y gastric bypass (RYGB). OBJECTIVES To elucidate the relationship between GLP-1 concentrations and insulin sensitivity in subjects with class II/III obesity without diabetes and to assess the relation between GLP-1 and the improvements in glucose metabolism following RYGB. SETTING Clinical research facility in a university hospital. METHODS We recruited 35 patients scheduled for RYGB and assessed their plasma GLP-1, insulin, and glucose responses to a high-fat mixed meal. Basal and insulin-mediated glucose fluxes were determined during a 2-step hyperinsulinemic-euglycemic clamp with stable isotope-labeled tracers. Out of 35 subjects, 10 were studied both before surgery and at 1 year of follow-up. RESULTS Plasma GLP-1 increased following the high-fat mixed meal. Postprandial GLP-1 excursions correlated positively with hepatic and peripheral insulin sensitivity, but not with body mass index. At 1 year after RYGB, participants had lost 24% ± 6% of their body weight. Plasma GLP-1, insulin, and glucose levels peaked earlier and higher after the mixed meal. The positive association between the postprandial GLP-1 response and peripheral insulin sensitivity persisted. CONCLUSIONS Postprandial GLP-1 concentrations correlate with insulin sensitivity in subjects with class II/III obesity without diabetes before and 1 year after RYGB. Increased GLP-1 signaling in postbariatric patients may, directly or indirectly, contribute to the observed improvements in insulin sensitivity and metabolic health.
Collapse
Affiliation(s)
- Pim W Gilijamse
- Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Ahmet Demirkiran
- Department of Surgery, Red Cross Hospital, Beverwijk, The Netherlands
| | | | - Mariette T Ackermans
- Department of Clinical Chemistry, Laboratory of Endocrinology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Johannes A Romijn
- Department of Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Max Nieuwdorp
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Kasper W Ter Horst
- Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Mireille J Serlie
- Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| |
Collapse
|
6
|
Sigala DM, Stanhope KL. An Exploration of the Role of Sugar-Sweetened Beverage in Promoting Obesity and Health Disparities. Curr Obes Rep 2021; 10:39-52. [PMID: 33411311 PMCID: PMC7788552 DOI: 10.1007/s13679-020-00421-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/17/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW The mechanistic role of sugar-sweetened beverage (SSB) in the etiology of obesity is undetermined. We address whether, compared to other foods, does consumption of SSB (1) automatically lead to failure to compensate for the energy it contains? (2) fail to elicit homeostatic hormone responses? (3) promote hedonic eating through activation of the brain's reward pathways? We followed the evidence to address: (4) Would restriction of targeted marketing of SSB and other unhealthy foods to vulnerable populations decrease their prevalence of obesity? RECENT FINDINGS The data are lacking to demonstrate that SSB consumption promotes body weight gain compared with isocaloric consumption of other beverages or foods and that this is linked to its failure to elicit adequate homeostatic hormone responses. However, more recent data have linked body weight gain to reward activation in the brain to palatable food cues and suggest that sweet tastes and SSB consumption heightens the reward response to food cues. Studies investigating the specificity of these responses have not been conducted. Nevertheless, the current data provide a biological basis to the body of evidence demonstrating that the targeted marketing (real life palatable food cues) of SSB and other unhealthy foods to vulnerable populations, including children and people of color and low socioeconomic status, is increasing their risk for obesity. While the mechanisms for the association between SSB consumption and body weight gain cannot be identified, current scientific evidence strongly suggests that proactive environmental measures to reduce exposure to palatable food cues in the form of targeting marketing will decrease the risk of obesity in vulnerable populations.
Collapse
Affiliation(s)
- Desiree M. Sigala
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California (UC), Davis, 2211 VM3B, Davis, CA 95616 USA
| | - Kimber L. Stanhope
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California (UC), Davis, 2211 VM3B, Davis, CA 95616 USA
- Basic Sciences, Touro University of California, Vallejo, CA USA
| |
Collapse
|
7
|
Comparing the Anti-diabetic Effect of Sleeve Gastrectomy with Transit Bipartition Against Sleeve Gastrectomy and Roux-en-Y Gastric Bypass Using a Diabetic Rodent Model. Obes Surg 2021; 31:2203-2210. [PMID: 33507518 DOI: 10.1007/s11695-021-05256-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/15/2021] [Accepted: 01/20/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE Roux-en-Y gastric bypass (RYGB) has superior long-term diabetes remission outcomes to sleeve gastrectomy (SG). However, in regions with a high prevalence of gastric cancer, RYGB may not be the best option. This study aimed to investigate the anti-diabetic effect of SG with transit bipartition (SG-TB) compared with SG and RYGB. MATERIALS AND METHODS A total of 32 diabetic Sprague-Dawley rat models were assigned to one of four groups: SG (n = 8), RYGB (n = 8), SG-TB (n = 8), and SHAM (n = 8). Body weight, food intake, blood glucose, and hormonal changes (glucagon-like peptide-1 (GLP-1), insulin, and glucagon) were measured to investigate the effect of surgery in all groups. Oral glucose tolerance test and insulin tolerance test were performed before and 8 weeks after surgery. RESULTS There were no significant differences in the postoperative changes in body weight and food intake among the SG, RYGB, and SG-TB groups. Postoperatively, the RYGB and SG-TB groups had significantly higher GLP-1 levels and lower insulin levels than the SG group. Further, RYGB and SG-TB had significantly better glucose control improvements than SG. There were no significant differences in GLP-1, insulin, glucagon, and homeostasis model assessment of insulin resistance levels between RYGB and SG-TB. The preoperative and postoperative values of all variables in the SHAM group did not show significant differences. CONCLUSION In this study using a diabetes-induced rodent model, we found that the anti-diabetic effect of SG-TB is superior to that of SG and non-inferior to that of RYGB.
Collapse
|
8
|
Rebelos E, Mari A, Bucci M, Honka M, Hannukainen JC, Virtanen KA, Hirvonen J, Nummenmaa L, Heni M, Iozzo P, Ferrannini E, Nuutila P. Brain substrate metabolism and ß-cell function in humans: A positron emission tomography study. Endocrinol Diabetes Metab 2020; 3:e00136. [PMID: 32704559 PMCID: PMC7375082 DOI: 10.1002/edm2.136] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 03/06/2020] [Accepted: 03/28/2020] [Indexed: 12/16/2022] Open
Abstract
AIMS Recent clinical studies have shown enhanced brain glucose uptake during clamp and brain fatty acid uptake in insulin-resistant individuals. Preclinical studies suggest that the brain may be involved in the control of insulin secretion. The aim of this study was to investigate whether brain metabolism assessed as brain glucose and fatty acid uptake is associated with the parameters of β-cell function in humans. MATERIALS AND METHODS We analysed cross-sectional data of 120 subjects across a wide range of BMI and insulin sensitivity. Brain glucose uptake (BGU) was measured during euglycaemic-hyperinsulinaemic clamp (n = 67) and/or during fasting (n = 45) using [18F]-fluorodeoxyglucose (FDG) positron emission tomography (PET). In another group of subjects (n = 34), brain fatty acid uptake was measured using [18F]-fluoro-6-thia-heptadecanoic acid (FTHA) PET during fasting. The parameters of β-cell function were derived from OGTT modelling. Statistical analysis was performed with whole-brain voxel-based statistical parametric mapping. RESULTS In non-diabetics, BGU during euglycaemic hyperinsulinaemic clamp correlated positively with basal insulin secretion rate (r = 0.51, P = .0008) and total insulin output (r = 0.51, P = .0008), whereas no correlation was found in type 2 diabetics. BGU during clamp correlated positively with potentiation in non-diabetics (r = 0.33, P = .02) and negatively in type 2 diabetics (r = -0.61, P = .02). The associations in non-diabetics were not explained with whole-body insulin sensitivity or BMI. No correlations were found between baseline (fasting) BGU and basal insulin secretion rate, whereas baseline brain fatty acid uptake correlated directly with basal insulin secretion rate (r = 0.39, P = .02) and inversely with potentiation (r = -0.36, P = .04). CONCLUSIONS Our study provides coherent, though correlative, evidence that, in humans, the brain may be involved in the control of insulin secretion independently of insulin sensitivity.
Collapse
Affiliation(s)
| | - Andrea Mari
- Institute of NeuroscienceNational Research CouncilPaduaItaly
| | - Marco Bucci
- Turku PET CentreUniversity of TurkuTurkuFinland
| | | | | | - Kirsi A. Virtanen
- Turku PET CentreUniversity of TurkuTurkuFinland
- Clinical NutritionInstitute of Public Health and Clinical NutritionUniversity of Eastern Finland (UEF)KuopioFinland
| | - Jussi Hirvonen
- Department of RadiologyTurku University Hospital and University of TurkuTurkuFinland
| | - Lauri Nummenmaa
- Turku PET CentreUniversity of TurkuTurkuFinland
- Department of PsychologyUniversity of TurkuTurkuFinland
| | - Martin Heni
- Department of Internal MedicineDivision of EndocrinologyDiabetology, Angiology, Nephrology and Clinical ChemistryEberhard Karls University TuebingenTuebingenGermany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz CenterMunich at the University of TuebingenTuebingenGermany
- German Center for Diabetes Research (DZD e.V.)NeuherbergGermany
| | - Patricia Iozzo
- Turku PET CentreUniversity of TurkuTurkuFinland
- Institute of Clinical PhysiologyNational Research Council (CNR)PisaItaly
| | - Ele Ferrannini
- Institute of Clinical PhysiologyNational Research Council (CNR)PisaItaly
| | - Pirjo Nuutila
- Turku PET CentreUniversity of TurkuTurkuFinland
- Department of EndocrinologyTurku University HospitalTurkuFinland
| |
Collapse
|
9
|
Garcia KA, Wohlgemuth WK, Ferrannini E, Mari A, Gonzalez A, Mendez AJ, Bizzotto R, Skyler JS, Schneiderman N, Hurwitz BE. Sleeping oxygen saturation, rapid eye movement sleep, and the adaptation of postprandial metabolic function in insulin sensitive and resistant individuals without diabetes. Physiol Behav 2018; 191:123-130. [PMID: 29655763 DOI: 10.1016/j.physbeh.2018.04.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 02/27/2018] [Accepted: 04/07/2018] [Indexed: 12/25/2022]
Abstract
AIMS Sleeping oxygen saturation (SaO2) and sleep stage duration have been linked with prediabetic alterations but the pathogenic pathways are not well understood. This study of insulin sensitive and resistant adults examined the effect on postprandial metabolic regulation of repeated mixed-meal challenges of different carbohydrate loading. The aim was to examine whether the relationship between lower sleeping oxygen saturation (SaO2) and poorer fasting and postprandial metabolic function may be linked with reduced slow wave sleep (SWS) and rapid eye movement (REM) duration, independent of age, sex and total adiposity. METHODS The 24 men and women, aged 25-54 years, had no diabetes or other diagnosed conditions, were evaluated with polysomnography to derive indices of SaO2 and sleep architecture. In addition, an OGTT and two 14-h serial mixed-meal tests were administered over 3 successive in-patient days. The carbohydrate content of the mixed-meals was manipulated to compare a standard-load day with a double-load day (300 vs. 600 kcal/meal). Quantitative modeling was applied to derive β-cell glucose sensitivity (β-GS), early insulin secretion rate sensitivity (ESRS), and total postprandial insulinemia (AUCINS). RESULTS Analyses showed that, for the 14-h tests, the SaO2 relationship with metabolic outcomes was associated significantly with percent time spent in REM but not SWS, independent of age, sex and total adiposity. Specifically, indirect pathways indicated that lower SaO2 was related to shorter REM duration, and shorter REM was respectively associated with higher β-GS, ESRS, and AUCINS for the 300- and 600-load days (300 kcal/meal: β = -8.68, p < .03, β = -8.54, p < .002, and β = -10.06, p < .008; 600 kcal/meal: β = -11.45, p < .003, β = -11.44, p < .001, and β = -11.00, p < .03). CONCLUSION Sleeping oxygen desaturation and diminished REM duration are associated with a metabolic pattern that reflects a compensatory adaptation of postprandial insulin metabolism accompanying preclinical diabetic risk.
Collapse
Affiliation(s)
- Karin A Garcia
- Behavioral Medicine Research Center, University of Miami, Miami, FL, USA; Department of Psychology, University of Miami, Coral Gables, FL, USA
| | | | - Ele Ferrannini
- National Research Council Institute of Clinical Physiology, Pisa, Italy
| | - Andrea Mari
- National Research Council Institute of Neurosciences, Padua, Italy
| | - Alex Gonzalez
- Behavioral Medicine Research Center, University of Miami, Miami, FL, USA
| | - Armando J Mendez
- Behavioral Medicine Research Center, University of Miami, Miami, FL, USA; Division of Endocrinology, Diabetes and Metabolism, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Roberto Bizzotto
- National Research Council Institute of Neurosciences, Padua, Italy
| | - Jay S Skyler
- Division of Endocrinology, Diabetes and Metabolism, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Neil Schneiderman
- Behavioral Medicine Research Center, University of Miami, Miami, FL, USA; Department of Psychology, University of Miami, Coral Gables, FL, USA; Division of Endocrinology, Diabetes and Metabolism, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Barry E Hurwitz
- Behavioral Medicine Research Center, University of Miami, Miami, FL, USA; Department of Psychology, University of Miami, Coral Gables, FL, USA; Division of Endocrinology, Diabetes and Metabolism, Miller School of Medicine, University of Miami, Miami, FL, USA.
| |
Collapse
|