医学
炎症
胎儿
创伤性脑损伤
风险因素
生物信息学
重症监护医学
生理学
病理
免疫学
怀孕
生物
精神科
遗传学
作者
Jonathan Reiss,Laura S. Peterson,Sophia N Nesamoney,Alan L. Chang,Anca M. Paşca,Ivana Marić,Gary M. Shaw,Brice Gaudillière,Ronald J. Wong,Karl G. Sylvester,Sonia L. Bonifacio,Nima Aghaeepour,Ronald S. Gibbs,David K. Stevenson
标识
DOI:10.1016/j.expneurol.2022.113988
摘要
Preterm newborns are exposed to several risk factors for developing brain injury. Clinical studies have suggested that the presence of intrauterine infection is a consistent risk factor for preterm birth and white matter injury. Animal models have confirmed these associations by identifying inflammatory cascades originating at the maternofetal interface that penetrate the fetal blood-brain barrier and result in brain injury. Acquired diseases of prematurity further potentiate the risk for cerebral injury. Systems biology approaches incorporating ante- and post-natal risk factors and analyzing omic and multiomic data using machine learning are promising methodologies for further elucidating biologic mechanisms of fetal and neonatal brain injury.
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