Talebizadeh Zohreh, Hu Valerie, Shababi Monir, Brower Amy
American College of Medical Genetics and Genomics, Bethesda, MD 20814, USA.
Department of Biochemistry and Molecular Biology, The George Washington University School of Medicine, Washington, DC 20037, USA.
Int J Neonatal Screen. 2024 Jan 4;10(1):4. doi: 10.3390/ijns10010004.
Newborn screening (NBS) is a large-scale public health program in the US that screens 3.8 million newborns for up to 81 genetic conditions each year. Many of these conditions have comorbidities, including neurodevelopmental disorders (NDDs). These comorbidities can have a significant impact on health outcomes across the lifespan. Most screened conditions are inborn errors of metabolism. PKU, the first condition identified by NBS, is an inherited metabolic disorder that can cause developmental delays and intellectual/developmental disabilities if not treated. The Newborn Screening Translational Research Network (NBSTRN) is a program that has been funded by the National Institute of Child Health and Human Development since 2008. NBSTRN is charged with developing, maintaining, and enhancing tools, resources, and expertise supporting NBS research. One of the tasks led by NBSTRN is to provide direction for developing question/answer sets used in the Longitudinal Pediatric Data Resource (LPDR) to create consensus-based and standardized common data elements (CDEs) for NBS conditions. There is growing interest in the NBS community in assessing neurodevelopmental trajectories through long-term follow-up studies. This could be streamlined by employing uniform CDEs. To address this unmet need, we conducted a landscape analysis to (1) explore the co-occurrence of NDD-related comorbidities and NBS conditions using text mining in MedGen, (2) compile a list of NDD-related CDEs from existing repositories as well as LPDR data dictionaries, and (3) identify challenges and knowledge gaps hindering the early identification of risks for NDDs in NBS conditions. Our findings can inform future efforts toward advancing the research infrastructure for this established public health program. The renewed awareness of the risk of NDDs after a positive NBS and diagnosis could lead to improved treatment guidelines for mental health conditions.
新生儿筛查(NBS)是美国一项大规模的公共卫生项目,每年对380万新生儿进行多达81种遗传疾病的筛查。其中许多疾病都伴有合并症,包括神经发育障碍(NDDs)。这些合并症会对整个生命周期的健康结果产生重大影响。大多数筛查的疾病是先天性代谢缺陷。苯丙酮尿症(PKU)是NBS发现的首个疾病,是一种遗传性代谢紊乱疾病,如果不进行治疗,可能会导致发育迟缓以及智力/发育障碍。新生儿筛查转化研究网络(NBSTRN)是一个自2008年以来由美国国立儿童健康与人类发展研究所资助的项目。NBSTRN负责开发、维护和加强支持NBS研究的工具、资源和专业知识。NBSTRN牵头的一项任务是为开发纵向儿科数据资源(LPDR)中使用的问答集提供指导,以便为NBS疾病创建基于共识的标准化通用数据元素(CDEs)。NBS社区越来越关注通过长期随访研究来评估神经发育轨迹。采用统一的CDEs可以简化这一过程。为满足这一未得到满足的需求,我们进行了一项全景分析,以(1)利用MedGen中的文本挖掘探索NDD相关合并症和NBS疾病的共现情况,(2)从现有存储库以及LPDR数据字典中汇编一份NDD相关CDEs列表,以及(3)识别阻碍在NBS疾病中早期识别NDDs风险的挑战和知识空白。我们的研究结果可为推进这一既定公共卫生项目的研究基础设施的未来努力提供参考。在NBS阳性和诊断后对NDDs风险的重新认识可能会导致精神健康疾病治疗指南的改进。