Department of Anthropology, Boston University, Boston, MA, USA.
Center for Neurobehavioral Genetics, The Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California-Los Angeles, Los Angeles, CA, USA.
Int J Obes (Lond). 2018 Apr;42(4):765-774. doi: 10.1038/ijo.2017.301. Epub 2017 Dec 6.
In humans, the ontogeny of obesity throughout the life course and the genetics underlying it has been historically difficult to study. We compared, in a non-human primate model, the lifelong growth trajectories of obese and non-obese adults to assess the heritability of and map potential genomic regions implicated in growth and obesity.
A total of 905 African green monkeys, or vervets (Chlorocebus aethiops sabaeus) (472 females, 433 males) from a pedigreed captive colony.
We measured fasted body weight (BW), crown-to-rump length (CRL), body-mass index (BMI) and waist circumference (WC) from 2000 to 2015. We used a longitudinal clustering algorithm to detect obesogenic growth, and logistic growth curves implemented in nonlinear mixed effects models to estimate three growth parameters. We used maximum likelihood variance decomposition methods to estimate the genetic contributions to obesity-related traits and growth parameters, including a test for the effects of a calorie-restricted dietary intervention. We used multipoint linkage analysis to map implicated genomic regions.
All measurements were significantly influenced by sex, and with the exception of WC, also influenced by maternal and post-natal diet. Chronic obesity outcomes were significantly associated with a pattern of extended growth duration with slow growth rates for BW. After accounting for environmental influences, all measurements were found to have a significant genetic component to variability. Linkage analysis revealed several regions suggested to be linked to obesity-related traits that are also implicated in human obesity and metabolic disorders.
As in humans, growth patterns in vervets have a significant impact on adult obesity and are largely under genetic control with some evidence for maternal and dietary programming. These results largely mirror findings from human research, but reflect shorter developmental periods, suggesting that the vervet offers a strong genetic model for elucidating the ontogeny of human obesity.
在人类中,整个生命过程中肥胖的发生发展及其潜在的遗传学机制一直难以研究。我们在一种非人类灵长类动物模型中比较了肥胖和非肥胖成年人的终生生长轨迹,以评估生长和肥胖相关的遗传力并绘制潜在的基因组区域图谱。
来自一个有亲缘关系的圈养殖民地的总共 905 只非洲绿猴或长尾黑颚猴(Chlorocebus aethiops sabaeus)(472 只雌性,433 只雄性)。
我们在 2000 年至 2015 年期间测量了空腹体重(BW)、头臀长(CRL)、体重指数(BMI)和腰围(WC)。我们使用纵向聚类算法检测致肥胖生长,并使用非线性混合效应模型中的逻辑生长曲线来估计三个生长参数。我们使用最大似然方差分解方法来估计与肥胖相关的特征和生长参数的遗传贡献,包括对热量限制饮食干预效果的检验。我们使用多点连锁分析来映射相关的基因组区域。
所有测量值均受到性别显著影响,除 WC 外,还受到母体和产后饮食的影响。慢性肥胖结局与 BW 生长速度较慢的延长生长持续时间模式显著相关。在考虑环境影响后,发现所有测量值的变异性都有显著的遗传成分。连锁分析显示,几个与肥胖相关的特征相关的区域被认为与人类肥胖和代谢紊乱有关。
与人类一样,绿猴的生长模式对成年肥胖有显著影响,并且主要受遗传控制,有一些证据表明与母体和饮食编程有关。这些结果在很大程度上反映了人类研究的发现,但反映了较短的发育时期,这表明长尾黑颚猴为阐明人类肥胖的发生发展提供了强有力的遗传模型。