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Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses

BACKGROUND: Proxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and β-cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to...

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Autores principales: Lindåse, Sanna, Nostell, Katarina, Bergsten, Peter, Forslund, Anders, Bröjer, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885592/
https://www.ncbi.nlm.nih.gov/pubmed/33588833
http://dx.doi.org/10.1186/s12917-021-02781-5
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author Lindåse, Sanna
Nostell, Katarina
Bergsten, Peter
Forslund, Anders
Bröjer, Johan
author_facet Lindåse, Sanna
Nostell, Katarina
Bergsten, Peter
Forslund, Anders
Bröjer, Johan
author_sort Lindåse, Sanna
collection PubMed
description BACKGROUND: Proxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and β-cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to evaluate how fasting insulin (FI) and proxies for IS (1/Insulin, reciprocal of the square root of insulin (RISQI) and the quantitative insulin sensitivity check index (QUICKI)) and β-cell response (the modified insulin-to-glucose ratio (MIRG) and the homeostatic model assessment of β-cell function (HOMA-β)) were correlated to measures of IS (M index) using the euglycemic hyperinsulinemic clamp (EHC) in horses with insulin resistance (IR) and normal IS. A second objective was to evaluate the repeatability of FI and proxies in horses based on sampling on consecutive days. The last objective was to investigate the most appropriate cut-off value for the proxies and FI. RESULTS: Thirty-four horses were categorized as IR and 26 as IS based on the M index. The proxies and FI had coefficients of variation (CVs) ≤ 25.3 % and very good reliability (intraclass correlation coefficients ≥ 0.89). All proxies and FI were good predictors of the M index (r = 0.76–0.85; P < 0.001). The proxies for IS had a positive linear relationship with the M index whereas proxies for β-cell response and FI had an inverse relationship with the M index. Cut-off values to distinguish horses with IR from horses with normal IS based on the M index were established for all proxies and FI using receiver operating characteristic curves, with sensitivity between 79 % and 91 % and specificity between 85 % and 96 %. The cut-off values to predict IR were < 0.32 (RISQI), < 0.33 (QUICKI) and > 9.5 µIU/mL for FI. CONCLUSIONS: All proxies and FI provided repeatable estimates of horses’ IS. However, there is no advantage of using proxies instead of FI to estimate IR in the horse. Due to the heteroscedasticity of the data, proxies and FI in general are more suitable for epidemiological studies and larger clinical studies than as a diagnostic tool for measurement of IR in individual horses.
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spelling pubmed-78855922021-02-22 Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses Lindåse, Sanna Nostell, Katarina Bergsten, Peter Forslund, Anders Bröjer, Johan BMC Vet Res Research Article BACKGROUND: Proxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and β-cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to evaluate how fasting insulin (FI) and proxies for IS (1/Insulin, reciprocal of the square root of insulin (RISQI) and the quantitative insulin sensitivity check index (QUICKI)) and β-cell response (the modified insulin-to-glucose ratio (MIRG) and the homeostatic model assessment of β-cell function (HOMA-β)) were correlated to measures of IS (M index) using the euglycemic hyperinsulinemic clamp (EHC) in horses with insulin resistance (IR) and normal IS. A second objective was to evaluate the repeatability of FI and proxies in horses based on sampling on consecutive days. The last objective was to investigate the most appropriate cut-off value for the proxies and FI. RESULTS: Thirty-four horses were categorized as IR and 26 as IS based on the M index. The proxies and FI had coefficients of variation (CVs) ≤ 25.3 % and very good reliability (intraclass correlation coefficients ≥ 0.89). All proxies and FI were good predictors of the M index (r = 0.76–0.85; P < 0.001). The proxies for IS had a positive linear relationship with the M index whereas proxies for β-cell response and FI had an inverse relationship with the M index. Cut-off values to distinguish horses with IR from horses with normal IS based on the M index were established for all proxies and FI using receiver operating characteristic curves, with sensitivity between 79 % and 91 % and specificity between 85 % and 96 %. The cut-off values to predict IR were < 0.32 (RISQI), < 0.33 (QUICKI) and > 9.5 µIU/mL for FI. CONCLUSIONS: All proxies and FI provided repeatable estimates of horses’ IS. However, there is no advantage of using proxies instead of FI to estimate IR in the horse. Due to the heteroscedasticity of the data, proxies and FI in general are more suitable for epidemiological studies and larger clinical studies than as a diagnostic tool for measurement of IR in individual horses. BioMed Central 2021-02-15 /pmc/articles/PMC7885592/ /pubmed/33588833 http://dx.doi.org/10.1186/s12917-021-02781-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Lindåse, Sanna
Nostell, Katarina
Bergsten, Peter
Forslund, Anders
Bröjer, Johan
Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses
title Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses
title_full Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses
title_fullStr Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses
title_full_unstemmed Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses
title_short Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses
title_sort evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885592/
https://www.ncbi.nlm.nih.gov/pubmed/33588833
http://dx.doi.org/10.1186/s12917-021-02781-5
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