State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, PR China.
State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, PR China; University of Chinese Academy of Sciences, Shijingshan District, Beijing, 100049, PR China; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, Scotland, UK.
Mol Metab. 2020 Feb;32:27-43. doi: 10.1016/j.molmet.2019.11.010. Epub 2019 Nov 16.
The carbohydrate-insulin model (CIM) predicts that increases in fasting and post-prandial insulin in response to dietary carbohydrates stimulate energy intake and lower energy expenditures, leading to positive energy balance and weight gain. The objective of the present study was to directly test the CIM's predictions using C57BL/6 mice.
Diets were designed by altering dietary carbohydrates with either fixed protein or fat content and were fed to C57BL/6 mice acutely or chronically for 12 weeks. The body weight, body composition, food intake, and energy expenditures of the mice were measured. Their fasting and post-prandial glucose and insulin levels were also measured. RNA-seq was performed on RNA from the hypothalamus and subcutaneous white adipose tissue. Pathway analysis was conducted using IPA.
Only the post-prandial insulin and fasting glucose levels followed the CIM's predictions. The lipolysis and leptin signaling pathways in the sWAT were inhibited in relation to the elevated fasting insulin, supporting the CIM's predicted impact of high insulin. However, because higher fasting insulin was unrelated to carbohydrate intake, the overall pattern did not support the model. Moreover, the hypothalamic hunger pathways were inhibited in relation to the increased fasting insulin, and the energy intake was not increased. The browning pathway in the sWAT was inhibited at higher insulin levels, but the daily energy expenditure was not altered.
Two of the predictions were partially supported (and hence also partially not supported) and the other three predictions were not supported. We conclude that the CIM does not explain the impact of dietary macronutrients on adiposity in mice.
碳水化合物-胰岛素模型(CIM)预测,饮食碳水化合物引起的空腹和餐后胰岛素增加会刺激能量摄入并降低能量消耗,导致能量正平衡和体重增加。本研究的目的是使用 C57BL/6 小鼠直接检验 CIM 的预测。
通过改变具有固定蛋白质或脂肪含量的饮食中的碳水化合物来设计饮食,并在 12 周内急性或慢性地喂给 C57BL/6 小鼠。测量小鼠的体重、身体成分、食物摄入量和能量消耗。还测量了它们的空腹和餐后血糖和胰岛素水平。对下丘脑和皮下白色脂肪组织的 RNA 进行 RNA-seq 分析。使用 IPA 进行途径分析。
只有餐后胰岛素和空腹血糖水平符合 CIM 的预测。sWAT 中的脂肪分解和瘦素信号通路与升高的空腹胰岛素有关,这支持了 CIM 对高胰岛素的预测影响。然而,由于空腹胰岛素升高与碳水化合物摄入无关,因此整体模式不支持该模型。此外,空腹胰岛素升高与下丘脑饥饿途径受抑制有关,而能量摄入并未增加。在更高的胰岛素水平下,sWAT 中的棕色脂肪形成途径受到抑制,但每日能量消耗没有改变。
两个预测得到了部分支持(因此也得到了部分不支持),而另外三个预测没有得到支持。我们得出结论,CIM 不能解释饮食宏量营养素对小鼠肥胖的影响。