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      Comparison of insulin sensitivity between healthy neonatal foals and horses using minimal model analysis

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          Abstract

          The equine neonate is considered to have impaired glucose tolerance due to delayed maturation of the pancreatic endocrine system. Few studies have investigated insulin sensitivity in newborn foals using dynamic testing methods. The objective of this study was to assess insulin sensitivity by comparing the insulin-modified frequently sampled intravenous glucose tolerance test (I-FSIGTT) between neonatal foals and adult horses. This study was performed on healthy neonatal foals (n = 12), 24 to 60 hours of age, and horses (n = 8), 3 to 14 years of age using dextrose (300 mg/kg IV) and insulin (0.02 IU/kg IV). Insulin sensitivity (SI), acute insulin response to glucose (AIRg), glucose effectiveness (Sg), and disposition index (DI) were calculated using minimal model analysis. Proxy measurements were calculated using fasting insulin and glucose concentrations. Nonparametric statistical methods were used for analysis and reported as median and interquartile range (IQR). SI was significantly higher in foals (18.3 L·min -1· μIU -1 [13.4–28.4]) compared to horses (0.9 L·min -1· μIU -1 [0.5–1.1]); (p < 0.0001). DI was higher in foals (12 × 10 3 [8 × 10 3−14 × 10 3]) compared to horses (4 × 10 2 [2 × 10 2−7 × 10 2]); (p < 0.0001). AIRg and Sg were not different between foals and horses. The modified insulin to glucose ratio (MIRG) was lower in foals (1.72 μIU insulin 2/10·L·mg glucose [1.43–2.68]) compared to horses (3.91 μIU insulin 2/10·L·mg glucose [2.57–7.89]); (p = 0.009). The homeostasis model assessment of beta cell function (HOMA-BC%) was higher in horses (78.4% [43–116]) compared to foals (23.2% [17.8–42.2]); (p = 0.0096). Our results suggest that healthy neonatal foals are insulin sensitive in the first days of life, which contradicts current literature regarding the equine neonate. Newborn foals may be more insulin sensitive immediately after birth as an evolutionary adaptation to conserve energy during the transition to extrauterine life.

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          MINMOD Millennium: a computer program to calculate glucose effectiveness and insulin sensitivity from the frequently sampled intravenous glucose tolerance test.

          The Bergman Minimal Model enables estimation of two key indices of glucose/insulin dynamics: glucose effectiveness and insulin sensitivity. In this paper we describe MINMOD Millennium, the latest Windows-based version of minimal model software. Extensive beta testing of MINMOD Millennium has shown that it is user-friendly, fully automatic, fast, accurate, reproducible, repeatable, and highly concordant with past versions of MINMOD. It has a simple interface, a comprehensive help system, an input file editor, a file converter, an intelligent processing kernel, and a file exporter. It provides publication-quality charts of glucose and insulin and a table of all minimal model parameters and their error estimates. In contrast to earlier versions of MINMOD and some other minimal model programs, Millennium provides identified estimates of insulin sensitivity and glucose effectiveness for almost every subject.
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            Glucocorticoids and the preparation for life after birth: are there long-term consequences of the life insurance?

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              Clinical practice. Management of hyperglycemia in the hospital setting.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: Project administration
                Role: InvestigationRole: Project administration
                Role: InvestigationRole: Project administrationRole: Resources
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: InvestigationRole: Project administrationRole: Resources
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 January 2022
                2022
                : 17
                : 1
                : e0262584
                Affiliations
                [1 ] College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, United States of America
                [2 ] Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Egypt
                [3 ] Midland Acres Inc, Bloomingburg, Ohio, United States of America
                Medical University of Vienna, AUSTRIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-7809-6100
                https://orcid.org/0000-0001-5479-588X
                https://orcid.org/0000-0002-9063-540X
                Article
                PONE-D-21-27168
                10.1371/journal.pone.0262584
                8759699
                35030228
                a9a63a97-fa89-472d-acbe-93dcb4dec907
                © 2022 Kinsella 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
                : 21 August 2021
                : 29 December 2021
                Page count
                Figures: 3, Tables: 4, Pages: 14
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100008788, College of Veterinary Medicine, Ohio State University;
                Award ID: 520519
                Award Recipient :
                This work was supported by The Ohio State University College of Veterinary Medicine Equine Intramural Funds (Grant #520519). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Endocrinology
                Diabetic Endocrinology
                Insulin
                Biology and Life Sciences
                Biochemistry
                Hormones
                Insulin
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Equines
                Horses
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Mammals
                Equines
                Horses
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Carbohydrates
                Monosaccharides
                Glucose
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Carbohydrates
                Monosaccharides
                Glucose
                Biology and Life Sciences
                Developmental Biology
                Neonates
                Medicine and Health Sciences
                Endocrinology
                Endocrine Physiology
                Insulin Resistance
                Biology and Life Sciences
                Physiology
                Endocrine Physiology
                Insulin Resistance
                Medicine and Health Sciences
                Medical Conditions
                Metabolic Disorders
                Hypoglycemia
                Biology and Life Sciences
                Anatomy
                Body Fluids
                Blood
                Blood Sugar
                Medicine and Health Sciences
                Anatomy
                Body Fluids
                Blood
                Blood Sugar
                Biology and Life Sciences
                Physiology
                Body Fluids
                Blood
                Blood Sugar
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Homeostasis
                Custom metadata
                All relevant data are contained within the manuscript and Supporting information files.

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