Lalia Antigoni Z, Dasari Surendra, Johnson Matthew L, Robinson Matthew M, Konopka Adam R, Distelmaier Klaus, Port John D, Glavin Maria T, Esponda Raul Ruiz, Nair K Sreekumaran, Lanza Ian R
Divisions of Endocrinology and Metabolism (A.Z.L., M.L.J., M.M.R., A.R.K., K.D., R.R.E., K.S.N., I.R.L.), Biomedical Statistics and Informatics (S.D.), and Radiology (J.D.P., M.T.G.), Mayo Clinic College of Medicine, Rochester, Minnesota 55905.
J Clin Endocrinol Metab. 2016 Feb;101(2):626-34. doi: 10.1210/jc.2015-2892. Epub 2015 Dec 28.
Numerous factors are purported to influence insulin sensitivity including age, adiposity, mitochondrial function, and physical fitness. Univariate associations cannot address the complexity of insulin resistance or the interrelationship among potential determinants.
The objective of the study was to identify significant independent predictors of insulin sensitivity across a range of age and adiposity in humans.
DESIGN, SETTING, AND PARTICIPANTS: Peripheral and hepatic insulin sensitivity were measured by two stage hyperinsulinemic-euglycemic clamps in 116 men and women (aged 19-78 y). Insulin-stimulated glucose disposal, the suppression of endogenous glucose production during hyperinsulinemia, and homeostatic model assessment of insulin resistance were tested for associations with 11 potential predictors. Abdominal subcutaneous fat, visceral fat (AFVISC), intrahepatic lipid, and intramyocellular lipid (IMCL) were quantified by magnetic resonance imaging and spectroscopy. Skeletal muscle mitochondrial respiratory capacity (state 3), coupling efficiency, and reactive oxygen species production were evaluated from muscle biopsies. Aerobic fitness was measured from whole-body maximum oxygen uptake (VO2 peak), and metabolic flexibility was determined using indirect calorimetry.
Multiple regression analysis revealed that AFVISC (P < .0001) and intrahepatic lipid (P = .002) were independent negative predictors of peripheral insulin sensitivity, whereas VO2 peak (P = .0007) and IMCL (P = .023) were positive predictors. Mitochondrial capacity and efficiency were not independent determinants of peripheral insulin sensitivity. The suppression of endogenous glucose production during hyperinsulinemia model of hepatic insulin sensitivity revealed percentage fat (P < .0001) and AFVISC (P = .001) as significant negative predictors. Modeling homeostatic model assessment of insulin resistance identified AFVISC (P < .0001), VO2 peak (P = .001), and IMCL (P = .01) as independent predictors.
The reduction in insulin sensitivity observed with aging is driven primarily by age-related changes in the content and distribution of adipose tissue and is independent of muscle mitochondrial function or chronological age.
许多因素据称会影响胰岛素敏感性,包括年龄、肥胖、线粒体功能和身体素质。单变量关联无法解决胰岛素抵抗的复杂性或潜在决定因素之间的相互关系。
本研究的目的是确定人类在不同年龄和肥胖程度范围内胰岛素敏感性的显著独立预测因素。
设计、地点和参与者:通过两阶段高胰岛素-正常血糖钳夹法测量了116名男性和女性(年龄19 - 78岁)的外周和肝脏胰岛素敏感性。测试了胰岛素刺激的葡萄糖处置、高胰岛素血症期间内源性葡萄糖生成的抑制以及胰岛素抵抗的稳态模型评估与11个潜在预测因素的关联。通过磁共振成像和光谱法对腹部皮下脂肪、内脏脂肪(AFVISC)、肝内脂质和肌细胞内脂质(IMCL)进行定量。从肌肉活检中评估骨骼肌线粒体呼吸能力(状态3)、偶联效率和活性氧生成。通过全身最大摄氧量(VO2峰值)测量有氧适能,并使用间接量热法测定代谢灵活性。
多元回归分析显示,AFVISC(P <.0001)和肝内脂质(P =.002)是外周胰岛素敏感性的独立负向预测因素,而VO2峰值(P =.0007)和IMCL(P =.023)是正向预测因素。线粒体容量和效率不是外周胰岛素敏感性的独立决定因素。高胰岛素血症模型中肝脏胰岛素敏感性的内源性葡萄糖生成抑制显示,脂肪百分比(P <.0001)和AFVISC(P =.001)是显著的负向预测因素。胰岛素抵抗稳态模型评估显示,AFVISC(P <.0001)、VO2峰值(P =.001)和IMCL(P =.01)是独立预测因素。
随着年龄增长观察到的胰岛素敏感性降低主要是由脂肪组织含量和分布的年龄相关变化驱动的,并且独立于肌肉线粒体功能或实际年龄。