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Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans
Insulin increases muscle microvascular perfusion and enhances tissue insulin and nutrient delivery. Our aim was to determine phenotypic traits that foretell human muscle microvascular insulin responses. Hyperinsulinemic euglycemic clamps were performed in 97 adult humans who were lean and healthy, h...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169863/ https://www.ncbi.nlm.nih.gov/pubmed/34075130 http://dx.doi.org/10.1038/s41598-021-90935-8 |
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author | Love, Kaitlin M. Jahn, Linda A. Hartline, Lee M. Patrie, James T. Barrett, Eugene J. Liu, Zhenqi |
author_facet | Love, Kaitlin M. Jahn, Linda A. Hartline, Lee M. Patrie, James T. Barrett, Eugene J. Liu, Zhenqi |
author_sort | Love, Kaitlin M. |
collection | PubMed |
description | Insulin increases muscle microvascular perfusion and enhances tissue insulin and nutrient delivery. Our aim was to determine phenotypic traits that foretell human muscle microvascular insulin responses. Hyperinsulinemic euglycemic clamps were performed in 97 adult humans who were lean and healthy, had class 1 obesity without comorbidities, or controlled type 1 diabetes without complications. Insulin-mediated whole-body glucose disposal rates (M-value) and insulin-induced changes in muscle microvascular blood volume (ΔMBV) were determined. Univariate and multivariate analyses were conducted to examine bivariate and multivariate relationships between outcomes, ΔMBV and M-value, and predictor variables, body mass index (BMI), total body weight (WT), percent body fat (BF), lean body mass, blood pressure, maximum consumption of oxygen (VO(2)max), plasma LDL (LDL-C) and HDL cholesterol, triglycerides (TG), and fasting insulin (INS) levels. Among all factors, only M-value (r = 0.23, p = 0.02) and VO(2)max (r = 0.20, p = 0.047) correlated with ΔMBV. Conversely, INS (r = − 0.48, p ≤ 0.0001), BF (r = − 0.54, p ≤ 0.001), VO(2)max (r = 0.5, p ≤ 0.001), BMI (r = − 0.40, p < 0.001), WT (r = − 0.33, p = 0.001), LDL-C (r = − 0.26, p = 0.009), TG (r = − 0.25, p = 0.012) correlated with M-value. While both ΔMBV (p = 0.045) and TG (p = 0.03) provided significant predictive information about M-value in the multivariate regression model, only M-value was uniquely predictive of ΔMBV (p = 0.045). Thus, both M-value and VO(2)max correlated with ΔMBV but only M-value provided unique predictive information about ΔMBV. This suggests that metabolic and microvascular insulin responses are important predictors of one another, but most metabolic insulin resistance predictors do not predict microvascular insulin responses. |
format | Online Article Text |
id | pubmed-8169863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81698632021-06-03 Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans Love, Kaitlin M. Jahn, Linda A. Hartline, Lee M. Patrie, James T. Barrett, Eugene J. Liu, Zhenqi Sci Rep Article Insulin increases muscle microvascular perfusion and enhances tissue insulin and nutrient delivery. Our aim was to determine phenotypic traits that foretell human muscle microvascular insulin responses. Hyperinsulinemic euglycemic clamps were performed in 97 adult humans who were lean and healthy, had class 1 obesity without comorbidities, or controlled type 1 diabetes without complications. Insulin-mediated whole-body glucose disposal rates (M-value) and insulin-induced changes in muscle microvascular blood volume (ΔMBV) were determined. Univariate and multivariate analyses were conducted to examine bivariate and multivariate relationships between outcomes, ΔMBV and M-value, and predictor variables, body mass index (BMI), total body weight (WT), percent body fat (BF), lean body mass, blood pressure, maximum consumption of oxygen (VO(2)max), plasma LDL (LDL-C) and HDL cholesterol, triglycerides (TG), and fasting insulin (INS) levels. Among all factors, only M-value (r = 0.23, p = 0.02) and VO(2)max (r = 0.20, p = 0.047) correlated with ΔMBV. Conversely, INS (r = − 0.48, p ≤ 0.0001), BF (r = − 0.54, p ≤ 0.001), VO(2)max (r = 0.5, p ≤ 0.001), BMI (r = − 0.40, p < 0.001), WT (r = − 0.33, p = 0.001), LDL-C (r = − 0.26, p = 0.009), TG (r = − 0.25, p = 0.012) correlated with M-value. While both ΔMBV (p = 0.045) and TG (p = 0.03) provided significant predictive information about M-value in the multivariate regression model, only M-value was uniquely predictive of ΔMBV (p = 0.045). Thus, both M-value and VO(2)max correlated with ΔMBV but only M-value provided unique predictive information about ΔMBV. This suggests that metabolic and microvascular insulin responses are important predictors of one another, but most metabolic insulin resistance predictors do not predict microvascular insulin responses. Nature Publishing Group UK 2021-06-01 /pmc/articles/PMC8169863/ /pubmed/34075130 http://dx.doi.org/10.1038/s41598-021-90935-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Love, Kaitlin M. Jahn, Linda A. Hartline, Lee M. Patrie, James T. Barrett, Eugene J. Liu, Zhenqi Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
title | Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
title_full | Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
title_fullStr | Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
title_full_unstemmed | Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
title_short | Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
title_sort | insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169863/ https://www.ncbi.nlm.nih.gov/pubmed/34075130 http://dx.doi.org/10.1038/s41598-021-90935-8 |
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