Sex-specific genetic architecture in response to American and ketogenic diets.

Sex-specific genetic architecture in response to American and ketogenic diets.
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DOI:
10.1038/s41366-021-00785-7
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发表时间:
2021-06
期刊:
International journal of obesity (2005)
影响因子:
--
通讯作者:
Threadgill DW
Threadgill DW
中科院分区:
其他
文献类型:
--
作者:
Salvador AC;Arends D;Barrington WT;Elsaadi AM;Brockmann GA;Threadgill DW

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人们越来越重视个人对饮食的反应。在先前的研究中,观察到小鼠对美国和生酮饮食的品系特异性反应。在这项研究中,我们寻找C57 BL/6 J(B6)和FVB/NJ(FVB)小鼠品系对美国和生酮饮食反应差异的遗传变异。对脂肪和瘦肉增重的遗传定位显示,QTL位于第1染色体191.6 Mb处(Fmgq 1)(P < 0.001,CI = 180.2-194.4 Mb),73.7 Mb处的Chr 5(Fmgq 2,Lmgq 1)(P < 0.001,CI = 66.1-76.6 Mb),和40.5 Mb处的Chr 7(Fmgq 3)(P < 0.01,CI = 36.6-44.5 Mb)。血清HDL胆固醇浓度分析在168.6 Mb(Hdlq 1)处的Chr 1上鉴定出显著(P < 0.001,CI = 160.6-176.1 Mb)QTL。因果网络推断表明,HDL胆固醇和脂肪量增加都与Fmgq 1有关。在Fmgq 2和Lmgq 1上均发现了强的性别效应,这也是饮食依赖性的。有趣的是,Fmgq 2和Fmgq 3直接影响脂肪增加,而Fmgq 1直接影响脂肪增加,并通过血清胆固醇的中间变化。这些结果表明,精确营养将如何通过整合遗传变异和性别的生理反应,以不同的碳水化合物组成的饮食先进。
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.
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