PDF(Pubmed)
Abstract：
Neonatal Encephalopathy (NE) is a major cause of lifelong disability and neurological complications in affected infants. Identifying novel diagnostic biomarkers in this population may assist in predicting MRI injury and differentiate neonates with NE from those with low-cord pH or healthy neonates and may help clinicians make real-time decisions. To compare the microRNA (miRNA) profiles between neonates with NE, healthy controls, and neonates with low cord pH. Moreover, miRNA concentrations were compared to brain injury severity in neonates with NE. This is a retrospective analysis of miRNA profiles from select samples in the biorepository and data registry at the University of Florida Health Gainesville. The Firefly miRNA assay was used to screen a total of 65 neurological miRNA targets in neonates with NE (n = 36), low cord pH (n = 18) and healthy controls (n = 37). Multivariate statistical techniques, including principal component analysis and orthogonal partial least squares discriminant analysis, and miRNA Enrichment Analysis and Annotation were used to identify miRNA markers and their pathobiological relevance. A set of 10 highly influential miRNAs were identified, which were significantly upregulated in the NE group compared to healthy controls. Of these, miR-323a-3p and mir-30e-5p displayed the highest fold change in expression levels. Moreover, miR-34c-5p, miR-491-5p, and miR-346 were significantly higher in the NE group compared to the low cord pH group. Furthermore, several miRNAs were identified that can differentiate between no/mild and moderate/severe injury in the NE group as measured by MRI. MiRNAs represent promising diagnostic and prognostic tools for improving the management of NE.
摘要：
新生儿脑病（NE）是受影响婴儿终身残疾和神经系统并发症的主要原因。在该人群中识别新的诊断生物标志物可能有助于预测MRI损伤，并将NE新生儿与低脐带pH值或健康新生儿区分开来，并可能帮助临床医生做出实时决策。比较NE新生儿的microRNA（miRNA）谱，健康的控制,和低脐带pH的新生儿。此外，将miRNA浓度与NE新生儿的脑损伤严重程度进行比较。这是对来自佛罗里达大学健康盖恩斯维尔大学生物储存库和数据注册表中的选定样品的miRNA谱的回顾性分析。FireflymiRNA分析用于筛选NE新生儿（n=36）中总共65个神经miRNA靶标，低脐带pH（n=18）和健康对照（n=37）。多元统计技术，包括主成分分析和正交偏最小二乘判别分析,和miRNA富集分析和注释用于鉴定miRNA标记及其病理生物学相关性。鉴定了一组10个高度有影响力的miRNAs，与健康对照组相比，NE组显著上调。其中,miR-323a-3p和mir-30e-5p显示表达水平的最高倍数变化。此外，miR-34c-5p,miR-491-5p,和miR-346在NE组中显著高于低脐带pH组。此外，如通过MRI测量的,鉴定了可以区分NE组中的无/轻度和中度/重度损伤的若干miRNA。MiRNAs代表了改善NE管理的有前途的诊断和预后工具。
