Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, USA.
Department of Nutrition, Texas A&M University, College Station, TX, USA.
Int J Obes (Lond). 2021 Jun;45(6):1284-1297. doi: 10.1038/s41366-021-00785-7. Epub 2021 Mar 15.
BACKGROUND/OBJECTIVES: There is a growing appreciation for individual responses to diet. In a previous study, mouse strain-specific responses to American and ketogenic diets were observed. In this study, we searched for genetic variants underlying differences in the responses to American and ketogenic diets between C57BL/6J (B6) and FVB/NJ (FVB) mouse strains.
Genetic mapping of fat and lean mass gain revealed QTLs on Chromosome (Chr) 1 at 191.6 Mb (Fmgq1) (P < 0.001, CI = 180.2-194.4 Mb), Chr5 at 73.7 Mb (Fmgq2, Lmgq1) (P < 0.001, CI = 66.1-76.6 Mb), and Chr7 at 40.5 Mb (Fmgq3) (P < 0.01, CI = 36.6-44.5 Mb). Analysis of serum HDL cholesterol concentration identified a significant (P < 0.001, CI = 160.6-176.1 Mb) QTL on Chr1 at 168.6 Mb (Hdlq1). Causal network inference suggests that HDL cholesterol and fat mass gain are both linked to Fmgq1.
Strong sex effects were identified at both Fmgq2 and Lmgq1, which are also diet-dependent. Interestingly, Fmgq2 and Fmgq3 affect fat gain directly, while Fmgq1 influences fat gain directly and via an intermediate change in serum cholesterol. These results demonstrate how precision nutrition will be advanced through the integration of genetic variation and sex in physiological responses to diets varied in carbohydrate composition.
背景/目的:人们越来越关注个体对饮食的反应。在之前的一项研究中,观察到了不同鼠种对美式饮食和生酮饮食的特异性反应。在这项研究中,我们搜索了 C57BL/6J(B6)和 FVB/NJ(FVB)两种鼠种对美式饮食和生酮饮食反应差异的遗传变异。
对脂肪和瘦肉质量增加的遗传定位显示,在染色体 1 上有一个位于 191.6Mb(Fmgq1)的 QTL(P<0.001,置信区间[CI]为 180.2-194.4Mb),在染色体 5 上有一个位于 73.7Mb(Fmgq2,Lmgq1)的 QTL(P<0.001,CI 为 66.1-76.6Mb),在染色体 7 上有一个位于 40.5Mb(Fmgq3)的 QTL(P<0.01,CI 为 36.6-44.5Mb)。对血清高密度脂蛋白胆固醇浓度的分析确定了一个位于染色体 1 上的显著 QTL(P<0.001,CI 为 160.6-176.1Mb),位于 168.6Mb(Hdlq1)。因果网络推断表明,高密度脂蛋白胆固醇和脂肪质量增加都与 Fmgq1 有关。
在 Fmgq2 和 Lmgq1 上都发现了强烈的性别效应,这两个 QTL 也与饮食有关。有趣的是,Fmgq2 和 Fmgq3 直接影响脂肪的增加,而 Fmgq1 则通过血清胆固醇的中间变化直接影响脂肪的增加。这些结果表明,通过整合遗传变异和性别对碳水化合物组成不同的饮食的生理反应,将如何推进精准营养的发展。