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跨学科胎儿-新生儿神经学培训将神经暴露组学观点应用于神经学原理和实践。

Interdisciplinary fetal-neonatal neurology training applies neural exposome perspectives to neurology principles and practice.

作者信息

Scher Mark S

机构信息

Division of Pediatric Neurology, Department of Pediatrics, Case Western Reserve University School of Medicine, Cleveland, OH, United States.

出版信息

Front Neurol. 2024 Jan 15;14:1321674. doi: 10.3389/fneur.2023.1321674. eCollection 2023.

Abstract

An interdisciplinary fetal-neonatal neurology (FNN) program over the first 1,000 days teaches perspectives of the neural exposome that are applicable across the life span. This curriculum strengthens neonatal neurocritical care, pediatric, and adult neurology training objectives. Teaching at maternal-pediatric hospital centers optimally merges reproductive, pregnancy, and pediatric approaches to healthcare. Phenotype-genotype expressions of health or disease pathways represent a dynamic neural exposome over developmental time. The science of uncertainty applied to FNN training re-enforces the importance of shared clinical decisions that minimize bias and reduce cognitive errors. Trainees select mentoring committee participants that will maximize their learning experiences. Standardized questions and oral presentations monitor educational progress. Master or doctoral defense preparation and competitive research funding can be goals for specific individuals. FNN principles applied to practice offer an understanding of gene-environment interactions that recognizes the effects of reproductive health on the maternal-placental-fetal triad, neonate, child, and adult. Pre-conception and prenatal adversities potentially diminish life-course brain health. Endogenous and exogenous toxic stressor interplay (TSI) alters the neural exposome through maladaptive developmental neuroplasticity. Developmental disorders and epilepsy are primarily expressed during the first 1,000 days. Communicable and noncommunicable illnesses continue to interact with the neural exposome to express diverse neurologic disorders across the lifespan, particularly during the critical/sensitive time periods of adolescence and reproductive senescence. Anomalous or destructive fetal neuropathologic lesions change clinical expressions across this developmental-aging continuum. An integrated understanding of reproductive, pregnancy, placental, neonatal, childhood, and adult exposome effects offers a life-course perspective of the neural exposome. Exosome research promises improved disease monitoring and drug delivery starting during pregnancy. Developmental origins of health and disease principles applied to FNN practice anticipate neurologic diagnoses with interventions that can benefit successive generations. Addressing health care disparities in the Global South and high-income country medical deserts require constructive dialogue among stakeholders to achieve medical equity. Population health policies require a brain capital strategy that reduces the global burden of neurologic diseases by applying FNN principles and practice. This integrative neurologic care approach will prolong survival with an improved quality of life for persons across the lifespan confronted with neurological disorders.

摘要

一个为期1000天的跨学科胎儿-新生儿神经病学(FNN)项目传授适用于整个生命周期的神经暴露组学观点。该课程强化了新生儿神经重症监护、儿科和成人神经病学的培训目标。在母婴医院中心进行教学能最佳地融合生殖、妊娠和儿科的医疗保健方法。健康或疾病途径的表型-基因型表达代表了发育过程中动态的神经暴露组。应用于FNN培训的不确定性科学强化了共享临床决策的重要性,这些决策可最大限度地减少偏差并减少认知错误。学员选择指导委员会成员,以最大化他们的学习体验。标准化问题和口头报告用于监测教育进展。硕士或博士论文答辩准备和竞争性研究资金可以是特定个人的目标。应用于实践的FNN原则有助于理解基因-环境相互作用,认识到生殖健康对母-胎盘-胎儿三联体、新生儿、儿童和成人的影响。孕前和产前的逆境可能会损害生命历程中的脑健康。内源性和外源性毒性应激源相互作用(TSI)通过适应不良的发育神经可塑性改变神经暴露组。发育障碍和癫痫主要在1000天内表现出来。传染病和非传染病继续与神经暴露组相互作用,在整个生命周期中表现出各种神经系统疾病,特别是在青春期和生殖衰老的关键/敏感时期。异常或破坏性的胎儿神经病理病变会改变这个发育-衰老连续体中的临床表型。对生殖、妊娠、胎盘、新生儿、儿童和成人暴露组效应的综合理解提供了神经暴露组的生命历程视角。外泌体研究有望从孕期开始改善疾病监测和药物递送。应用于FNN实践的健康与疾病发育起源原则通过可使后代受益的干预措施来预测神经疾病诊断。解决全球南方的医疗保健差距和高收入国家的医疗荒漠问题需要利益相关者之间进行建设性对话以实现医疗公平。人口健康政策需要一项脑资本战略,通过应用FNN原则和实践来减轻全球神经疾病负担。这种综合神经护理方法将延长患有神经系统疾病的各年龄段人群的生存期并改善其生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cefb/10824035/60c94df594a9/fneur-14-1321674-g005.jpg

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