计岳龙

副研究员、博士生导师
yuelong.ji@bjmu.edu.cn
北京市海淀区学院路38号

个人简介

北京大学公共卫生学院妇幼卫生学系副研究员，系副主任，博士生导师。北京大学医学部－潍坊市妇幼健康联合研究中心管理委员会副主任。2011年毕业于浙江大学药学院药学系，获学士学位，2011-2013年在美国南加州大学药学院药理学系学习获硕士学位，2013-2020年在美国霍普金斯大学布隆伯格公共卫生学院工作学习获得公共卫生硕士学位（2013-2015）、妇幼健康方向博士学位（2015-2018）及妇幼健康方向博士后（2018-2020）。Phi Beta Kappa荣誉学会会员。担任全国公共卫生与预防医学名词编写委员会妇幼卫生学名词编写分委员会委员，中国学生营养与健康促进会心理健康分会副主任委员，中国毒理学会发育毒理与发育源性疾病防控专业委员会委员，入选第七届中国科协“青年人才托举工程”。

从母体外环境、母体内环境、以及孕期多因素复杂交互作用等方面，对神经发育障碍的发病机制进行了长期系统深入的流行病学及方法学研究。基于大样本的前瞻性出生队列研究的系列发现，在母体外环境方面阐明了社会心理压力、重金属、对乙酰氨基酚、毒品对儿童神经发育的影响，在母体内环境方面发现了B族维生素、支链氨基酸水平、胆固醇水平、瘦素、脂联素、胎盘病理对儿童神经发育的影响；探索了分析孕期环境与环境、环境与遗传、多因素复杂交互的方法，从而为阐明该类多因素起源的儿童神经发育障碍的发病机制提供重要科学依据。研究成果发表在在儿童健康/医学/行为科学/发展心理学领域国际知名杂志（JAMA Psychiatry，JAMA Open Network，Journal of Pediatrics，JAMA Pediatrics，Autism research，Journal of Child Psychology and Psychiatry）。

主要研究方向

1.身心健康的生命早期决定因素

2.机器学习方法在真实世界多模态临床大数据中的应用

代表性科研项目

1. 2023-2025，孕期对乙酰氨基酚暴露对婴幼儿神经发育的影响及潜在机制:基于出生队列的研究, 国家自然科学基金委员会, 青年科学基金项目, 82204055, 在研, 主持

2. 2001-2021，Preterm birth, maternal and cord blood metabolome, and child metabolic risk (R01HD041702), 资金来源：Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) at the National Institutes of Health (NIH)，参与

3. 2014-2022，MCH Autism Longitudinal Data Project （R40MC27443；UJ2MC31074），资金来源：Maternal and Child Health Bureau at the Health Resources and Services Administration (HRSA)，参与

10篇代表性论文

1. R. E. Azuine, Y. Ji, H.-Y. Chang, Y. Kim, H. Ji, J. DiBari, X. Hong, G. Wang, G. K. Singh, C. Pearson, B. Zuckerman, P. J. Surkan and X. Wang; Prenatal Risk Factors and Perinatal and Postnatal Outcomes Associated With Maternal Opioid Exposure in an Urban, Low-Income, Multiethnic US Population; JAMA Network Open; 2019, 2 (6): e196405

2. Y. Ji, R. E. Azuine, Y. Zhang, W. Hou, X. Hong, G. Wang, A. Riley, C. Pearson, B. Zuckerman and X. Wang; Association of Cord Plasma Biomarkers of In Utero Acetaminophen Exposure With Risk of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder in Childhood; JAMA Psychiatry; 2020, 77 (2): 180

3. X. Liu, Z. Yuan and Y. Ji; The association between electronic cigarettes, sleep duration, and the adverse cardiovascular outcomes: Findings from behavioral risk factor surveillance system, 2020; Frontiers in Cardiovascular Medicine; 2022, 9: 909383

4. H. Wang, H.-J. Wang, M. Jiao, N. Han, J. Xu, H. Bao, Z. Liu and Y. Ji; Associations between Dynamic Vitamin D Level and Thyroid Function during Pregnancy; Nutrients; 2022, 14 (18): 3780

5. S. Yan, J. Lyu, Z. Liu, S. Zhou, Y. Ji and H. Wang; Association of gestational hypertension and preeclampsia with offspring adiposity: A systematic review and meta-analysis; Frontiers in Endocrinology; 2022, 13: 906781

6. Z. Yuan, Q. Li, T. Su, J. Yang, J. Chen, Y. Peng, S. Zhou, H. Bao, S. Luo, H. Wang, J. Liu, N. Han, Y. Guo, Y. Ji and H.-J. Wang; Effects of fine ambient particulate matters on de novo hypertensive disorders of pregnancy and blood pressure before 20 weeks; Environmental Research; 2023, 218: 115023

7. Z. Yuan, H.-J. Wang, Q. Li, T. Su, J. Yang, J. Chen, Y. Peng, S. Zhou, H. Bao, S. Luo, H. Wang, J. Liu, N. Han, Y. Guo and Y. Ji; Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study; JMIR Public Health and Surveillance; 2023, 9: e41442

8. Z. Yuan, H.-J. Wang, T. Su, J. Yang, J. Chen, Y. Peng, S. Zhou, H. Bao, S. Luo, H. Wang, J. Liu, N. Han and Y. Ji; The First-Trimester Gestational Weight Gain Associated With de novo Hypertensive Disorders During Pregnancy: Mediated by Mean Arterial Pressure; Frontiers in Nutrition; 2022, 9: 862323

9. Y. Shen, Y. Wang, Z. Fu, T. Zhou, Z. Yuan, J. Gao and Y. Ji; Ambient PM2.5, household environment and preterm birth: A birth cohort study in Shandong, China; Atmospheric Environment; 2024, 332: 120612

10. N. N. Liu, J. L. Lyu, H. J. Wang, Y. Sun, S. H. Zhang, H. Lin, Y. X. Wang, X. J. Yang, S. Ma, N. Han, Y. Mi, D. Zheng, Z. F. Yang, H. P. Zhang, Y. Jiang, Y. L. Ji and L. K. Ma; Weekly Weight Gain in Women with Gestational Diabetes Mellitus and Neonatal Birth Weight - China, 2011-2021; China CDC Weekly; 2023, 5 (32): 703-709