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作 者:李文豪[1] 吴玲玲[1] 宋超 Li Wenhao;Wu Lingling;Song Chao(Department of Developmental and Behavioral Pediatrics,Children's Hospital,Zhejiang University School of Medicine,National Clinical Research Center for Child Health,Hangzhou 310052,China)
机构地区:[1]国家儿童健康与疾病临床医学研究中心、浙江大学医学院附属儿童医院发育行为儿科,杭州310052
出 处:《国际儿科学杂志》2024年第3期159-163,共5页International Journal of Pediatrics
基 金:浙江省自然科学基金(LTGY24H090005)。
摘 要:脆性X综合征(fragile X syndrome,FXS)是导致智力障碍和孤独症谱系障碍较常见的单基因疾病之一,其表型复杂、临床异质性大,以致早期诊断较为困难。潜在的FXS患者数量较大,存在诊断不足甚至误诊的问题。该文从基于人群的筛查和基于个体临床表型的识别两个维度,对当前FXS的筛查和早期识别方法、模式进行总结,为临床实践和规模化筛查提供支持,为疾病的管理提供参考。以基因工程、人工智能为代表的新技术,或可为FXS筛查和早期识别提供新的机会。Fragile X syndrome(FXS)is one of the most common single-gene disorders that cause intellectual disability and autism spectrum disorders.It is characterized by a complex phenotype and clinical heterogeneity,which poses challenges for early diagnosis.The number of potential FXS patients is large,and many of them face the dilemma of under-diagnosis or even misdiagnosis.This paper provides an overview of current screening and early identification methods and models for FXS,encompassing population-based screening approaches as well as individual clinical phenotype-based identification strategies.These finding's offer valuable support for clinical practice,mass screening and disease management.Furthermore,advancements in genetic engineering and artificial intelligence technology hold promise to revolutionize FXS screening and early identification.
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