Yale Child Study Center, 230 South Frontage Road, New Haven, CT, 06520, USA.
J Autism Dev Disord. 2017 Sep;47(9):2935-2937. doi: 10.1007/s10803-017-3237-7.
Despite significant advances in understanding the biological bases of autism spectrum disorder (ASD), the field remains primarily reliant on observational and parent report measures of behavior to guide clinical practice, conduct research, and evaluate intervention outcomes. There is a critical need for objective measures to more sensitively and validly quantify risk for ASD, ASD symptomatology, and its change in clinical trials. To maximize public health impact, such biomarkers must be cost effective and utilize accessible and scalable technologies. This letter describes concerns specific to the development of clinically practicable biomarkers for ASD and approaches to optimize understanding of these biomarkers through development of large-scale consortia and clinical networks.
尽管在理解自闭症谱系障碍(ASD)的生物学基础方面取得了重大进展,但该领域主要依赖于行为的观察和家长报告措施来指导临床实践、开展研究和评估干预结果。因此,迫切需要客观的措施来更敏感和有效地量化自闭症、自闭症症状及其在临床试验中的变化的风险。为了最大限度地发挥公共卫生的影响,这些生物标志物必须具有成本效益,并利用可及和可扩展的技术。这封信描述了针对 ASD 的临床可行生物标志物的开发的具体问题,以及通过开发大规模的联盟和临床网络来优化对这些生物标志物的理解的方法。