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Failure of Homeostatic Model Assessment of Insulin Resistance to Detect Marked Diet-Induced Insulin Resistance in Dogs

机译:胰岛素抵抗的稳态模型评估未能检测到明显的饮食引起的狗的胰岛素抵抗

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摘要

Accurate quantification of insulin resistance is essential for determining efficacy of treatments to reduce diabetes risk. Gold-standard methods to assess resistance are available (e.g., hvperinsulinemic clamp or minimal model), but surrogate indices based solely on fasting values have attractive simplicity. One such surrogate, the homeostatic model assessment of insulin resistance (HOMA-IR), is widely applied despite known inaccuracies in characterizing resistance across groups. Of greater significance is whether HOMA-IR can detect changes in insulin sensitivity induced by an intervention. We tested the ability of HOMA-IR to detect high-fat diet-induced insulin resistance in 36 healthy canines using clamp and minimal model analysis of the intravenous glucose tolerance test (IVGTT) to document progression of resistance. The influence of pancreatic function on HOMA-IR accuracy was assessed using the acute insulin response during the IVGTT (AIR_Q). Diet-induced resistance was confirmed by both clamp and minimal model (P < 0.0001), and measures were correlated with each other (P = 0.001). In striking contrast, HOMA-IR ([fasting insulin (μU/mL) x fasting glucose (mmol)]/22.5) did not detect reduced sensitivity induced by fat feeding (P = 0.22). In fact, 13 of 36 animals showed an artifactual decrease in HOMA-IR (i.e., increased sensitivity). The ability of HOMA-IR to detect diet-induced resistance was particularly limited under conditions when insulin secretory function (AIR_Q) is less than robust. In conclusion, HOMA-IR is of limited utility for detecting diet-induced deterioration of insulin sensitivity quantified by glucose clamp or minimal model. Caution should be exercised when using HOMA-IR to detect insulin resistance when pancreatic function is compromised. It is necessary to use other accurate indices to detect longitudinal changes in insulin resistance with any confidence.
机译:准确定量胰岛素抵抗对于确定降低糖尿病风险的治疗效果至关重要。可以使用评估抵抗力的金标准方法(例如,高胰岛素钳夹或最小模型),但是仅基于禁食值的替代指标具有诱人的简便性。一种替代方法是胰岛素抵抗的稳态模型评估(HOMA-IR),尽管在表征各组间的抵抗力方面存在已知的准确性,但仍得到广泛应用。更重要的是,HOMA-IR是否可以检测干预引起的胰岛素敏感性变化。我们使用钳夹和静脉葡萄糖耐量试验(IVGTT)的最小模型分析来记录HOMA-IR在36个健康犬中检测高脂饮食诱导的胰岛素抵抗的能力,以证明抵抗的进展。使用IVGTT(AIR_Q)期间的急性胰岛素反应评估胰腺功能对HOMA-IR准确性的影响。饮食引起的耐药性已通过钳夹模型和最小模型得到证实(P <0.0001),并且措施之间具有相关性(P = 0.001)。与之形成鲜明对比的是,HOMA-IR([空腹胰岛素(μU/ mL)x空腹葡萄糖(mmol)] / 22.5)未检测到脂肪喂养引起的敏感性降低(P = 0.22)。实际上,在36只动物中,有13只显示出HOMA-IR的人为减少(即,敏感性增加)。在胰岛素分泌功能(AIR_Q)不够稳定的情况下,HOMA-IR检测饮食引起的抗药性的能力特别受到限制。总之,HOMA-IR在检测饮食引起的胰岛素钳制恶化(通过葡萄糖钳夹法或最小模型法量化)方面用途有限。当胰腺功能受损时,使用HOMA-IR检测胰岛素抵抗时应谨慎行事。有必要使用其他准确的指标来可靠地检测胰岛素抵抗的纵向变化。

著录项

  • 来源
    《Diabetes》 |2014年第6期|1914-1919|共6页
  • 作者单位

    Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center,Los Angeles, CA;

    Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center,Los Angeles, CA;

    Keck School of Medicine, University of Southern California, Los Angeles, CA;

    Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center,Los Angeles, CA;

    Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center,Los Angeles, CA;

    Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center,Los Angeles, CA;

    Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center,Los Angeles, CA;

    Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center,Los Angeles, CA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 03:46:20

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