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作 者:Xinmei Chen Hongxiu Liu Aifen Zhou Feng Jin Chufeng Jing Yuanyuan Li Wei Xia Linda GKahn Ya Xie Xingliang Xiang Shuting Cao Wenxin Zhang Gaga Mahai Zhongqiang Cao Han Xiao Chao Xiong Wei Li Hanzeng Li Shunqing Xu 陈欣梅;刘洪秀;周爱芬;金凤;景春风;李媛媛;夏玮;Linda GKahn;谢亚;向星亮;曹淑婷;张文鑫;马海呷呷;曹中强;肖晗;熊超;李巍;李汉增;徐顺清
机构地区:[1]Key Laboratory of Environment and Health,Ministry of Education&Ministry of Environmental Protection,and State Key Laboratory of Environmental Health,School of Public Health,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China [2]Wuhan Medical&Healthcare Center for Women and Children,Wuhan 430015,China [3]Shunyi Women’s and Children’s Hospital of Beijing Children’s Hospital,Beijing 101320,China [4]Wuxi Maternal and Child Health Hospital,Wuxi 214001,China [5]Department of Pediatrics,New York University Grossman School of Medicine,New York,10016,USA [6]School of Environmental Science and Engineering,Hainan University,Haikou 570208,China [7]Beijing Children’s Hospital,Capital Medical University,Beijing 100045,China
出 处:《Science Bulletin》2024年第21期3404-3414,共11页科学通报(英文版)
基 金:supported by the National Natural Science Foundation of China(U21A20397,22236001,42277428);the Program for HUST Academic Frontier Youth Team(2018QYTD12).
摘 要:This study aimed to investigate whether fetal growth trajectories(FGTs)could predict early childhood development,indicate intrauterine metabolic changes,and explore potential optimal and suboptimal FGTs.FGTs were developed by using an unsupervised machine-learning approach.Children’s neurodevelopment,anthropometry,and respiratory outcomes in thefirst 6 years of life were assessed at different ages.In a subgroup of participants,we conducted a metabolomics analysis of cord blood to reveal the metabolic features of FGTs.We identified 6 FGTs:early decelerating,early decelerating with late catch-up growth,early accelerating,early accelerating with late medium growth,late decelerating,and late accelerating.The early accelerating with late medium growth pattern might be the optimal FGT due to its associations with better psychomotor development,mental development,intelligence quotient,and lung function and a lower risk of behaviour and respiratory problems.Compared with the optimal FGT,early decelerating and late decelerating FGTs were associated with poor neurodevelopment and lung function,while early accelerating FGT was associated with more severe autistic symptoms,poor lung function,and increased risks of overweight/obesity.Metabolic alterations were enriched in amino acid metabolism for early decelerating and late decelerating FGTs,whereas altered metabolites were enriched in lipid metabolism for early accelerating FGT.Thesefindings suggest that FGTs are predictors of early life development and may indicate intrauterine adaptive metabolism.The discovery of optimal and suboptimal FGTs provides potential clues for the early identification and intervention of fetal origin dysplasia or disease,but further research on related mechanisms is still needed.
关 键 词:Fetal growth trajectory Children development NEURODEVELOPMENT COHORT
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