Establishing a Multifaceted Comprehensive Maternity Cohort Facilitates Understanding of How Environmental Exposures Impact Perinatal Health

Haitong Zhe Sun, Haiyang Tang, Qingyi Xiang, Siyuan Xu, Yijia Tian, Huan Zhao, Jing Fang, Haizhen Dai, Rui Shi, Yuxia Pan, Ting Luo, Hangbiao Jin, Chenyang Ji, Yuanchen Chen, Hengyi Liu, Meirong Zhao, Kun Tang, Sheena Nishanti Ramasamy, Evelyn Xiu-Ling Loo, Lynette P. Shek, Yuming Guo, Wei Xu and Xiaoxia Bai*, 
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引用次数: 0

Abstract

China’s “three-child policy”, implemented in response to population aging, has made the protection of maternal and infant health an urgent priority. In this environmental and medical big-data era, the Zhejiang Environmental and Birth Health Research Alliance (ZEBRA) maternity cohort was established with the aim of identifying risk factors for perinatal morbidity and mortality from the perspectives of both observational epidemiology and experimental etiology. Compared with conventional birth cohorts, the inclusion of a maternity cohort allows greater scope for research and places an emphasis on maternal health. In particular, it allows us to focus on pregnant women with a history of pregnancy-related illnesses and those planning to have a second or third child. There are currently many pressing issues in perinatal health, including the risk associations between exogenous together with endogenous factors and the occurrence of perinatal abnormalities, pregnancy complications, and adverse pregnancy outcomes. It is crucial to explore the interaction between environmental exposures and genetic factors affecting perinatal health if we are to improve it. It is also worthwhile to assess the feasibility of the early stage prediction of major perinatal abnormalities. We hope to study this in the ZEBRA cohort and also seek nationwide and international collaborations to establish a multicenter cohort consortium, with the ultimate goal of contributing epidemiological evidence to literature and providing evidence-based insights for global maternal and child healthcare.

建立多方面的综合产妇队列有助于了解环境暴露如何影响围产期健康
中国为应对人口老龄化而实施的 "三胎政策",使保护母婴健康成为当务之急。在这个环境与医学大数据时代,浙江省环境与出生健康研究联盟(ZEBRA)孕产妇队列的建立,旨在从观察流行病学和实验病因学两个角度,识别围产期发病和死亡的风险因素。与传统的出生队列相比,纳入孕产妇队列可以为研究提供更大的空间,并将重点放在孕产妇健康上。特别是,它使我们能够关注有妊娠相关疾病史的孕妇和计划生育第二或第三个孩子的孕妇。目前,围产期健康领域存在许多亟待解决的问题,包括外源性因素和内源性因素与围产期畸形、妊娠并发症和不良妊娠结局之间的风险关联。如果我们要改善围产期健康,探索影响围产期健康的环境暴露和遗传因素之间的相互作用至关重要。此外,早期预测围产期重大异常的可行性也值得评估。我们希望在 ZEBRA 队列中开展这方面的研究,同时寻求全国性和国际性合作,建立一个多中心队列联盟,最终目标是为文献提供流行病学证据,为全球母婴保健提供循证见解。
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来源期刊
Environment & Health
Environment & Health 环境科学、健康科学-
自引率
0.00%
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期刊介绍: Environment & Health a peer-reviewed open access journal is committed to exploring the relationship between the environment and human health.As a premier journal for multidisciplinary research Environment & Health reports the health consequences for individuals and communities of changing and hazardous environmental factors. In supporting the UN Sustainable Development Goals the journal aims to help formulate policies to create a healthier world.Topics of interest include but are not limited to:Air water and soil pollutionExposomicsEnvironmental epidemiologyInnovative analytical methodology and instrumentation (multi-omics non-target analysis effect-directed analysis high-throughput screening etc.)Environmental toxicology (endocrine disrupting effect neurotoxicity alternative toxicology computational toxicology epigenetic toxicology etc.)Environmental microbiology pathogen and environmental transmission mechanisms of diseasesEnvironmental modeling bioinformatics and artificial intelligenceEmerging contaminants (including plastics engineered nanomaterials etc.)Climate change and related health effectHealth impacts of energy evolution and carbon neutralizationFood and drinking water safetyOccupational exposure and medicineInnovations in environmental technologies for better healthPolicies and international relations concerned with environmental health
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