Prenatal stress biology, infant body composition and obesity risk

描述（由申请人提供）：我们研究的目的是检查不良宫内条件或产前应激对新生儿和婴儿身体成分和肥胖风险的影响。肥胖是我们国家面临的最重要的健康问题之一。个人层面的根本原因以及人口迅速增加的原因还不清楚。有证据表明，肥胖及其后遗症的起源可以追溯到生命的子宫内时期，在发育期间暴露于次优条件可能导致生理系统的胎儿编程，然后增加儿童和成人肥胖的风险。绝大多数关于胎儿肥胖编程的人类流行病学研究都依赖于出生时的尺寸（如低出生体重或小于胎龄出生）或胎儿和出生后早期生长速度作为不利宫内暴露的标志。我们提出了一个创新的和新颖的应用程序的胎儿编程范例，强调使用一组压力相关的子宫内母-胎盘-胎儿（MPF）的生物过程作为主要标志物暴露于子宫内的侮辱，因为MPF生物应力参数可以作为“传感器”的质量的子宫内环境，以及“换能器”它对发育中的胎儿以及随后的儿童和成人肥胖风险的影响。在我们的研究中解决的具体问题包括：（1）MPF指数的产前压力暴露超过人类妊娠预测新生儿的身体组成和身体组成的变化，从出生到6个月大，占其他既定的肥胖危险因素的影响？(2)在怀孕期间是否有敏感时期，发育中的胎儿特别容易受到产前生物应激对身体成分的影响？(3)MPF宫内环境的生物应激措施是否比目前使用的出生结果或胎儿和出生后早期生长的措施更特异和敏感的新生儿和婴儿身体成分的预测？(4)MPF内分泌/免疫相关的身体成分变化对代谢功能（胰岛素敏感性）有什么影响？(5)产前生物应激对身体组成的影响是否通过能量平衡稳态设定点和能量通量随时间的变化来介导？我们建议在一个以人群为基础的婴儿队列中进行一项前瞻性、纵向、随访研究，这些婴儿的母亲将参加NIH资助的妊娠期生物学和行为过程研究。我们将在这个婴儿队列的宫内生活和出生过程中进行广泛的表征，并采用解决上述问题所需的所有产前测量，包括母亲-胎盘-胎儿内分泌和免疫/炎症环境的系列测量，胎儿生物统计学的系列超声测量，产科并发症的临床测量，母亲生物物理学、社会人口学、行为学、心理社会特征和出生表型的测量。从这个队列中，我们将招募120-140名出生时的儿童样本，并随访至6个月大。我们建议在T1=0-2周龄和T2=6月龄进行两次主要研究评估。在每次评估时，我们的主要研究结果，儿童身体成分，将通过双能X射线吸收测定法（DXA）进行量化;总能量消耗（TEE）将使用双标记水（DLW）方法进行量化;代谢功能（胰岛素敏感性）将通过血糖和胰岛素的测量进行量化。婴儿营养和喂养方法将同时使用多次通过24小时饮食召回进行评估。将使用最先进的参数和非参数重复测量、时间序列数据的统计建模技术，包括广义加性模型、多项式分布滞后、分类和回归树以及多元回归分析，以实现研究目的。这项研究的意义和影响来自于更好地了解肥胖易感性增加的根本原因的重要性，从而为早期识别风险和干预目标的新标志物的开发提供信息。

DESCRIPTION (provided by applicant): The goal of our study is to examine the influence of adverse intrauterine conditions, or prenatal stress, on newborn and infant body composition and obesity risk. Obesity is one of the most important health issues facing our nation. The underlying causes at the individual level, and the reasons for its rapid increase in the population are not well-understood. Evidence suggests that the origins of obesity and its sequelae can be traced back to the intra-uterine period of life, at which time exposure to suboptimal conditions during development may result in fetal programming of physiological systems that then confer increased risk for obesity in childhood and adult life. The overwhelming majority of human epidemiological studies of fetal programming of obesity have relied on measures of either size at birth (such as low birth weight or small-for-gestational age birth), or fetal and early postnatal growth velocity, as markers of adverse intrauterine exposures. We propose an innovative and novel application of the fetal programming paradigm by emphasizing the use of a set of stress-related intrauterine maternal-placental-fetal (MPF) biological processes as the principal markers of exposure to intrauterine insult because MPF biological stress parameters may act as "sensors" of the quality of the intrauterine environment as well as "transducers" of its effects on the developing fetus and subsequent childhood and adult obesity risk. The specific questions addressed in our study include the following: (1) Do MPF indices of prenatal stress exposure over human gestation predict newborn body composition and change in body composition from birth until 6 months age, after accounting for the effects of other established risk factors for obesity? (2) Are there sensitive periods during gestation when the developing fetus is particularly vulnerable to the effects of prenatal biological stress on body composition? (3) Are MPF biological stress measures of the intrauterine environment more specific and sensitive predictors of newborn and infant body composition than currently-used measures of birth outcomes or fetal and early postnatal growth? (4) What are the consequences of MPF endocrine/immune-related changes in body composition on metabolic function (insulin sensitivity)? (5) Are the effects of prenatal biological stress on body composition mediated through a change in energy balance homeostasis set points and energy flux over time? We propose to conduct a prospective, longitudinal, follow-up study in a population-based cohort of infants born to mothers who will participate in a NIH-funded study of biological and behavioral processes in pregnancy. We will have extensive characterization in this infant cohort over the course of their intrauterine life and birth with all the prenatal measures required to address the above questions, including serial measures of the maternal-placental- fetal endocrine and immune/inflammatory milieu, serial ultrasound-based measures of fetal biometry, clinical measures of obstetric complications, measures of maternal biophysical, sociodemographic, behavioral, psychosocial characteristics, and measures of the birth phenotype. From this cohort we will recruit a sample of 120-140 children at birth and follow them up until 6 months age. We propose two major study assessments at T1=0-2 weeks and T2=6 months age. At each assessment our primary study outcome, child body composition, will be quantified by dual energy x-ray absorptiometry (DXA); total energy expenditure (TEE) will be quantified using the doubly labeled water (DLW) method; and metabolic function (insulin sensitivity) will be quantified from measures of blood glucose and insulin. Infant nutrition and feeding practices will be assessed concurrently using multiple-pass 24h diet recalls. State-of-the-art statistical modeling techniques for parametric and non-parametric repeated measures, time- series data, including generalized additive models, polynomial distributed lag, classification and regression trees, and multivariate regression analysis will be used to address the study aims. The significance and impact of this study derives from the importance of achieving at a better understanding of the underlying causes for increased susceptibility for obesity, thereby informing the development of new markers for early identification of risk and targets for intervention.