Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans
Abstract 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 h...
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2021
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oai:doaj.org-article:b4056d7b9f8e47e6b3c79ddc7099260d2021-12-02T15:56:56ZInsulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans10.1038/s41598-021-90935-82045-2322https://doaj.org/article/b4056d7b9f8e47e6b3c79ddc7099260d2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90935-8https://doaj.org/toc/2045-2322Abstract 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 (VO2max), 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 VO2max (r = 0.20, p = 0.047) correlated with ΔMBV. Conversely, INS (r = − 0.48, p ≤ 0.0001), BF (r = − 0.54, p ≤ 0.001), VO2max (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 VO2max 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.Kaitlin M. LoveLinda A. JahnLee M. HartlineJames T. PatrieEugene J. BarrettZhenqi LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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Medicine R Science Q Kaitlin M. Love Linda A. Jahn Lee M. Hartline James T. Patrie Eugene J. Barrett Zhenqi Liu Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
description |
Abstract 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 (VO2max), 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 VO2max (r = 0.20, p = 0.047) correlated with ΔMBV. Conversely, INS (r = − 0.48, p ≤ 0.0001), BF (r = − 0.54, p ≤ 0.001), VO2max (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 VO2max 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 |
article |
author |
Kaitlin M. Love Linda A. Jahn Lee M. Hartline James T. Patrie Eugene J. Barrett Zhenqi Liu |
author_facet |
Kaitlin M. Love Linda A. Jahn Lee M. Hartline James T. Patrie Eugene J. Barrett Zhenqi Liu |
author_sort |
Kaitlin M. Love |
title |
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_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_sort |
insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/b4056d7b9f8e47e6b3c79ddc7099260d |
work_keys_str_mv |
AT kaitlinmlove insulinmediatedmusclemicrovascularperfusionanditsphenotypicpredictorsinhumans AT lindaajahn insulinmediatedmusclemicrovascularperfusionanditsphenotypicpredictorsinhumans AT leemhartline insulinmediatedmusclemicrovascularperfusionanditsphenotypicpredictorsinhumans AT jamestpatrie insulinmediatedmusclemicrovascularperfusionanditsphenotypicpredictorsinhumans AT eugenejbarrett insulinmediatedmusclemicrovascularperfusionanditsphenotypicpredictorsinhumans AT zhenqiliu insulinmediatedmusclemicrovascularperfusionanditsphenotypicpredictorsinhumans |
_version_ |
1718385414460407808 |