Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans.
Insulin-mediated muscle microvascular perfusion and its phenotypic predictors in humans.
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DOI：
10.1038/s41598-021-90935-8
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发表时间：
2021-06-01
影响因子：
4.6
通讯作者：
Liu Z
中科院分区：
文献类型：
--
作者：
Love KM;Jahn LA;Hartline LM;Patrie JT;Barrett EJ;Liu Z
胰岛素增加肌肉微血管灌注，增强组织胰岛素和营养输送。我们的目的是确定预测人体肌肉微血管胰岛素反应的表型特征。研究人员对97名成年人进行了高胰岛素正糖钳夹，这些人既瘦又健康，有1级肥胖，无合并症，又有1型糖尿病控制，无并发症。测定胰岛素介导的全身葡萄糖处置率（m值）和胰岛素诱导的肌肉微血管血容量变化（ΔMBV）。进行单因素和多因素分析，以检验结果、ΔMBV和m值以及预测变量、体重指数（BMI）、总体重（WT）、体脂百分比（BF）、瘦体重、血压、最大耗氧量（VO2max）、血浆低密度脂蛋白（LDL- c）和高密度脂蛋白胆固醇、甘油三酯（TG）和空腹胰岛素（INS）水平之间的双因素和多因素关系。在所有因素中，只有m值（r = 0.23, p = 0.02）和VO2max （r = 0.20, p = 0.047）与ΔMBV相关。相反,INS (r =−0.48,p≤0.0001),BF (r =−0.54,p≤0.001),的最大摄氧量(r = 0.5, p≤0.001)、体重指数(r =−0.40,p < 0.001), WT (r =−0.33,p = 0.001),低密度脂蛋白(r =−0.26,p = 0.009), TG (r =−0.25,p = 0.012)和m值有关。虽然ΔMBV （p = 0.045）和TG （p = 0.03）在多元回归模型中都提供了m值的显著预测信息，但只有m值能够唯一预测ΔMBV （p = 0.045）。因此，m值和VO2max都与ΔMBV相关，但只有m值提供了ΔMBV的唯一预测信息。这表明代谢和微血管胰岛素反应是彼此重要的预测因子，但大多数代谢胰岛素抵抗预测因子不能预测微血管胰岛素反应。
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.
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影响因子：
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作者：
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影响因子：
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