Prenatal and perinatal metabolic risk factors for autism: a review and integration of findings from population-based studies.
Prenatal and perinatal metabolic risk factors for autism: a review and integration of findings from population-based studies.
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自闭症的产前和围产期代谢危险因素：基于人群研究结果的回顾和整合
DOI：
10.1097/yco.0000000000000673
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发表时间：
2021-03-01
影响因子：
6.9
通讯作者：
Kolevzon, Alexander
中科院分区：
文献类型：
--
作者：
Katz, Julia;Reichenberg, Abraham;Kolevzon, Alexander
鉴于自闭症谱系障碍（ASD）患病率的持续上升以及开发和管理干预措施以显着缓解ASD症状的挑战，迫切需要确定ASD的可改变风险因素。本综述的目的是系统地评估目前的证据之间的关联条件有关的孕产妇代谢综合征和ASD的风险在后代集中在有条不紊的严格的研究。近年来，多项研究探讨了与母体代谢综合征相关的各种疾病（肥胖，高血压或妊娠前或妊娠期间发作的糖尿病）与后代ASD风险之间的关联。通过对探索母体代谢综合征与ASD之间关系的大型、足够有力的、以人群为基础的流行病学研究进行检查，我们发现了一致的证据表明母体先兆子痫与ASD风险之间存在关联。作为母体代谢综合征一部分的其他条件，包括母体肥胖，妊娠期体重增加，糖尿病和妊娠期糖尿病，应进一步研究，并仔细注意不同代谢条件之间的潜在协同效应。这些发现强调了对可能改变的ASD风险因素进行严格的，大规模的，基于人群的流行病学研究的必要性，这些研究可以为公共卫生干预提供信息。
Given the ongoing rise in prevalence of autism spectrum disorder (ASD) and the challenges in developing and administering interventions to significantly alleviate ASD symptoms, there is an urgent need to identify modifiable risk factors for ASD. The goal of this review is to systematically evaluate the current evidence for an association between conditions related to maternal metabolic syndrome and risk for ASD in offspring focusing on methodically rigorous studies. In recent years, multiple studies explored the association between various conditions related to maternal metabolic syndrome (obesity, hypertension, or diabetes prior to, or with onset during pregnancy) and ASD risk in the offspring. Examining large, sufficiently powered, population-based epidemiological studies that explored the association between maternal metabolic syndrome and ASD, we found consistent evidence for an association between maternal preeclampsia and risk for ASD. Other conditions that are part of maternal metabolic syndrome, including maternal obesity, gestational weight gain, diabetes and gestational diabetes, should be studied further with careful attention paid to potential synergistic effects between different metabolic conditions. These findings highlight the need for rigorous, large, population based epidemiological studies of potentially modifiable ASD risk factors that could inform public health interventions.