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      A high-fat and fructose diet in dogs mirrors insulin resistance and β-cell dysfunction characteristic of impaired glucose tolerance in humans

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          Abstract

          This study examined the impact of a hypercaloric high-fat high-fructose diet (HFFD) in dogs as a potential model for human impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM). The HFFD not only led to weight gain but also triggered metabolic alterations akin to the precursors of human T2DM, notably insulin resistance and β-cell dysfunction. Following the HFFD intervention, the dogs exhibited a 50% decrease in insulin sensitivity within the first four weeks, paralleling observations in the progression from normal to IGT in humans. Calculations of the insulinogenic index using both insulin and C-peptide measurements during oral glucose tolerance tests revealed a significant and sustained decrease in early-phase insulin release, with partial compensation in the later phase, predominantly stemming from reduced hepatic insulin clearance. In addition, the Disposition Index, representing the β-cell’s capacity to compensate for diminished insulin sensitivity, fell dramatically. These results confirm that a HFFD can instigate metabolic changes in dogs akin to the early stages of progression to T2DM in humans. The study underscores the potential of using dogs subjected to a HFFD as a model organism for studying human IGT and T2DM.

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          Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

          The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees beta-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient beta-cell function to the fasting hyperglycaemia (homeostasis model assessment, HOMA). The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and beta-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test. The estimate of insulin resistance obtained by homeostasis model assessment correlated with estimates obtained by use of the euglycaemic clamp (Rs = 0.88, p less than 0.0001), the fasting insulin concentration (Rs = 0.81, p less than 0.0001), and the hyperglycaemic clamp, (Rs = 0.69, p less than 0.01). There was no correlation with any aspect of insulin-receptor binding. The estimate of deficient beta-cell function obtained by homeostasis model assessment correlated with that derived using the hyperglycaemic clamp (Rs = 0.61, p less than 0.01) and with the estimate from the intravenous glucose tolerance test (Rs = 0.64, p less than 0.05). The low precision of the estimates from the model (coefficients of variation: 31% for insulin resistance and 32% for beta-cell deficit) limits its use, but the correlation of the model's estimates with patient data accords with the hypothesis that basal glucose and insulin interactions are largely determined by a simple feed back loop.
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            Animal models of obesity and diabetes mellitus

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              The Science of Obesity Management: An Endocrine Society Scientific Statement

              The prevalence of obesity, measured by body mass index, has risen to unacceptable levels in both men and women in the United States and worldwide with resultant hazardous health implications. Genetic, environmental, and behavioral factors influence the development of obesity, and both the general public and health professionals stigmatize those who suffer from the disease. Obesity is associated with and contributes to a shortened life span, type 2 diabetes mellitus, cardiovascular disease, some cancers, kidney disease, obstructive sleep apnea, gout, osteoarthritis, and hepatobiliary disease, among others. Weight loss reduces all of these diseases in a dose-related manner—the more weight lost, the better the outcome. The phenotype of “medically healthy obesity” appears to be a transient state that progresses over time to an unhealthy phenotype, especially in children and adolescents. Weight loss is best achieved by reducing energy intake and increasing energy expenditure. Programs that are effective for weight loss include peer-reviewed and approved lifestyle modification programs, diets, commercial weight-loss programs, exercise programs, medications, and surgery. Over-the-counter herbal preparations that some patients use to treat obesity have limited, if any, data documenting their efficacy or safety, and there are few regulatory requirements. Weight regain is expected in all patients, especially when treatment is discontinued. When making treatment decisions, clinicians should consider body fat distribution and individual health risks in addition to body mass index. This Scientific Statement critically reviews the definition of obesity, providing a list of assessment methods, obesity-related diseases, and prevention measures.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 December 2023
                2023
                : 18
                : 12
                : e0296400
                Affiliations
                [1 ] Ian Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN, United States of America
                [2 ] Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN United States of America
                [3 ] Department of Information Engineering, University of Padova, Padova, Italy
                [4 ] Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States of America
                Isawiya General Hospital, Governorate of Gurayyat, SAUDI ARABIA
                Author notes

                Competing Interests: Justin Gregory has served as an advisory board member for Sanofi, Eli Lilly, Medtronic, Dompe, vTv Therapeutics, and Mannkind Corporation and in data and safety monitoring roles for vTv Therapeutics and Medtronic. Alan Cherrington is a scientific advisor, consultant, and holds stock in Fractyl Laboratories. He also holds stock in Metavention. The other authors have declared that no competing interests exist. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                Author information
                https://orcid.org/0000-0003-2700-0062
                Article
                PONE-D-23-29774
                10.1371/journal.pone.0296400
                10745172
                38134122
                0a5011ff-1ab0-40c2-859b-8375d7a3b2ec
                © 2023 Gregory et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 September 2023
                : 12 December 2023
                Page count
                Figures: 6, Tables: 0, Pages: 16
                Funding
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health
                Award ID: K23DK123392
                Award Recipient :
                Funded by: Vanderbilt Diabetes Research and Training Center
                Award ID: DK020593
                Award Recipient :
                Funded by: JDRF Career Development Award
                Award ID: 5-ECR-2020-950-A-N
                Award Recipient :
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health
                Award ID: R01DK018243
                Award Recipient :
                Funded by: Fractyl Health and Metavention
                J.M.G. has received career development awards and support from the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health (K23DK123392), Vanderbilt Diabetes Research and Training Center (DK020593), a JDRF Career Development Award (5-ECR-2020-950-A-N). A.D.C. has received research funding from R01DK018243. These studies were drawn from research supported by Fractyl Health and Metavention. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript for these experiments. The contents are solely the responsibility of the authors and do not necessarily represent official views of the National Institute of Diabetes and Digestive and Kidney Diseases, the National Institutes of Health, or the JDRF.
                Categories
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                Endocrinology
                Diabetic Endocrinology
                Insulin
                Biology and Life Sciences
                Biochemistry
                Hormones
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                Organisms
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