Imaging Innovations for Placental Assessment in Response to Environmental Pollution

应对环境污染的胎盘评估的成像创新

• 批准号: 9077112
• 负责人: Sherin U Devaskar
• 金额: $ 425.15万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-17 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9077112
• 关键词: Accounting; Adult; Air; Air Pollution; Arteries; Biological; Biological Markers; Birth; Breathing; Chronic; Cohort Studies; Coronary Arteriosclerosis; Data; Development; Diagnosis; Discipline of obstetrics; Disease; Doppler Ultrasound; Early Diagnosis; Early treatment; Environmental Exposure; Environmental Pollution; Epidemiologic Studies; Ethnic Origin; Exposure to; Fetus; Financial compensation; First Pregnancy Trimester; Functional disorder; Future; Gold; Growth; Image; Imaging Techniques; Imaging technology; Industry; Interdisciplinary Study; Location; Magnetic Resonance Imaging; Malignant Neoplasms; Maps; Maternal Age; Measurement; Measures; Modeling; Mothers; Motion; Motor Vehicles; Neonatal; Normalcy; Outcome; Pathology; Perfusion; Placenta; Placenta Diseases; Placental Insufficiency; Pollution; Pre-Eclampsia; Pregnancy; Pregnancy Outcome; Pregnant Women; Premature Birth; Premature Labor; Prevention strategy; Preventive; Race; Radial; Recruitment Activity; Research; Resolution; Rest; Risk; Risk Factors; Scanning; Sensitivity and Specificity; Socioeconomic Status; Spin Labels; Staging; Structure; Technology; Testing; Third Pregnancy Trimester; Time; Tissues; Toxic Environmental Substances; Toxin; Translating; Ultrasonography; Weight; base; clinical decision-making; cohort; imaging modality; implantation; in vivo; infant morbidity; innovation; novel; offspring; predictive marker; predictive modeling; primary outcome; prospective; public health relevance; quantitative imaging; response; targeted treatment; trafficking

ABSTRACT/PROJECT SUMMARY Many epidemiological studies have associated exposure to traffic-derived air pollution from motor vehicles, air toxics from industry and other environmental toxins by pregnant women with measures of poor birth outcomes including preeclampsia (PE), preterm birth (PTB) and intra-uterine growth restriction (IUGR). Preeclampsia, preterm birth and IUGR, collectively known as ischemic placental disease, are strongly correlated with infant morbidity and a host of adult diseases ranging from coronary artery disease to cancer. Although it is widely believed that the pathophysiological mechanisms leading to complications of ischemic placental disease and placental insufficiency have similar biological origins, starting as early as defective placental implantation, to date there are no predictive studies that prospectively examine placental structure and/or function. The objective of this proposal is to develop and evaluate a suit of cutting-edge multi-parametric magnetic resonance imaging (mp-MRI) technologies and translate these novel placental imaging modalities to assessing the impact of environmental pollution exposure on prediction of placental insufficiency. Our central hypothesis is that chronic exposure to high rates of environmental pollution, independent of socio-economic status (SES), increases the risk of placental insufficiency due to early gestational development of adverse placental structure/function as detected by mp- MRI technological advances. To test this hypothesis, our interdisciplinary research team at UCLA will first develop non- contrast free-breathing placental mp-MRI, consisting of multi-delay pseudo-continuous arterial spin labeling (pCASL) perfusion and high-resolution multi-contrast structural MRI, which will provide accurate measures of placental perfusion and tissue microstructure (AIM 1). The novel mp-MRI techniques will be compared to the uterine artery Doppler ultrasound through pregnancy, and validated ultimately by the gold standard histological pathology and vascularity of the post-parturient placenta (AIM 2). Lastly, we will perform in-depth analyses of recruited subjects for exposure to environmental pollution and correlate their rates of exposure to extensively collected pregnancy outcomes, towards building a predictive model (AIM 3). These studies will establish the impact of environmental pollution on placental structure and function, and related pregnancy outcomes, with obstetric and neonatal practices embracing surveillance tactics based on the residential location of pregnant women and their offspring. In addition, the proposed research will establish the potential for early recognition of placental insufficiency, thereby staging future strategies of preventive and interventional therapies targeting reversal before encountering detrimental consequences.

摘要/项目摘要 许多流行病学研究都将暴露于机动车辆交通产生的空气污染、来自汽车的空气有毒物质与暴露联系起来。 孕妇产生的工业和其他环境毒素，可导致不良出生结果，包括先兆子痫 (PE)、早产 (PTB) 和宫内生长受限 (IUGR)。先兆子痫、早产和 IUGR 统称 被称为缺血性胎盘疾病，与婴儿发病率和一系列成人疾病密切相关 从冠状动脉疾病到癌症。尽管人们普遍认为导致疾病的病理生理机制 缺血性胎盘疾病和胎盘功能不全的并发症具有相似的生物学起源，早在 胎盘着床缺陷，迄今为止还没有前瞻性研究胎盘结构的预测性研究 和/或功能。该提案的目的是开发和评估一套尖端的多参数磁 磁共振成像 (mp-MRI) 技术，并将这些新颖的胎盘成像模式转化为评估影响 环境污染暴露对胎盘功能不全预测的影响。我们的中心假设是慢性 无论社会经济地位（SES）如何，暴露于高比例的环境污染都会增加以下风险： 由于 mp- 检测到的不良胎盘结构/功能的妊娠早期发育导致胎盘功能不全 MRI 技术的进步。为了验证这一假设，我们在加州大学洛杉矶分校的跨学科研究团队将首先开发非 对比自由呼吸胎盘 mp-MRI，由多延迟伪连续动脉自旋标记 (pCASL) 组成 灌注和高分辨率多对比结构 MRI，这将提供胎盘灌注的准确测量 和组织微观结构（AIM 1）。新型 mp-MRI 技术将与子宫动脉多普勒进行比较 整个怀孕期间进行超声检查，并最终通过金标准组织病理学和血管分布进行验证 产后胎盘（AIM 2）。最后，我们将对招募的受试者进行深入分析，以接触 环境污染并将其暴露率与广泛收集的妊娠结局相关联，以 建立预测模型（AIM 3）。这些研究将确定环境污染对胎盘的影响 结构和功能，以及相关的妊娠结局，产科和新生儿实践包括监测 根据孕妇及其后代的居住地点制定策略。此外，拟议的研究将 建立早期识别胎盘功能不全的潜力，从而制定未来的预防和预防策略 介入疗法的目标是在遇到有害后果之前逆转。

项目成果

A Description of the Imaging Innovations for Placental Assessment in Response to Environmental Pollution Study.

环境污染研究中胎盘评估成像创新的描述。

• DOI: 10.1055/a-1961-2059
• 发表时间: 2022
• 期刊: American journal of perinatology
• 影响因子: 2
• 作者: Janzen,Carla;Lei,MargaridaYY;Lee,BrianR;Vangala,Sitaram;DelRosario,Irish;Meng,Qi;Ritz,Beate;Liu,Jonathan;Jerrett,Michael;Chanlaw,Teresa;Choi,Sarah;Aliabadi,Arya;Fortes,PreciousAnn;Sullivan,PeggyS;Murphy,Aisling;Vecchio,
• 通讯作者: Vecchio,

Human Placenta Blood Flow During Early Gestation With Pseudocontinuous Arterial Spin Labeling MRI.

• DOI: 10.1002/jmri.26944
• 发表时间: 2020-04
• 期刊: Journal of magnetic resonance imaging : JMRI
• 作者: Liu D;Shao X;Danyalov A;Chanlaw T;Masamed R;Wang DJJ;Janzen C;Devaskar SU;Sung K
• 通讯作者: Sung K

The Role of Epithelial to Mesenchymal Transition in Human Amniotic Membrane Rupture.

• DOI: 10.1210/jc.2016-3150
• 发表时间: 2017-04-01
• 期刊: The Journal of clinical endocrinology and metabolism
• 作者: Janzen C;Sen S;Lei MY;Gagliardi de Assumpcao M;Challis J;Chaudhuri G
• 通讯作者: Chaudhuri G

Characterization of Uterine Motion in Early Gestation Using MRI-Based Motion Tracking.

• DOI: 10.3390/diagnostics10100840
• 发表时间: 2020-10-19
• 期刊: Diagnostics (Basel, Switzerland)
• 作者: Martin T;Janzen C;Li X;Del Rosario I;Chanlaw T;Choi S;Armstrong T;Masamed R;Wu HH;Devaskar SU;Sung K
• 通讯作者: Sung K