Instituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira-Fundação Oswaldo Cruz, Rio de Janeiro 22250-020, Brazil.
Rural and Remote Support Services, Department of Health, Integrated Cardiovascular Clinical Network SA, Adelaide, SA 5042, Australia.
Genes (Basel). 2024 Jul 18;15(7):936. doi: 10.3390/genes15070936.
Neonatal health assessment is crucial for detecting and intervening in various disorders. Traditional gene expression analysis methods often require invasive procedures during sample collection, which may not be feasible or ideal for preterm infants. In recent years, saliva has emerged as a promising noninvasive biofluid for assessing gene expression. Another trend that has been growing is the use of "" technologies such as transcriptomics in the analysis of gene expression. The costs for carrying out these analyses and the difficulty of analysis make the detection of candidate genes necessary. These genes act as biomarkers for the maturation stages of the oral feeding issue.
Salivary samples (n = 225) were prospectively collected from 45 preterm (<34 gestational age) infants from five predefined feeding stages and submitted to RT-qPCR. A better description of the targeted genes and results from RT-qPCR analyses were included. The six genes previously identified as predictive of feeding success were tested. The genes are , , , , , and , along with two reference genes: and . RT-qPCR amplification enabled the analysis of the gene expression of , , , , , and in neonatal saliva. Expression results were correlated with the feeding status during sample collection.
In summary, the genes , , , , , and play critical roles in regulating oral feeding and the development of premature infants. Understanding the influence of these genes can provide valuable insights for improving nutritional care and support the development of these vulnerable babies. Evidence suggests that saliva-based gene expression analysis in newborns holds great promise for early detection and monitoring of disease and understanding developmental processes. More research and standardization of protocols are needed to fully explore the potential of saliva as a noninvasive biomarker in neonatal care.
新生儿健康评估对于发现和干预各种疾病至关重要。传统的基因表达分析方法通常需要在样本采集时进行有创操作,这对于早产儿来说可能不可行或不理想。近年来,唾液已成为评估基因表达的一种很有前途的非侵入性生物流体。另一个日益增长的趋势是在基因表达分析中使用转录组学等“组学”技术。进行这些分析的成本和分析的难度使得检测候选基因成为必要。这些基因作为口腔喂养问题成熟阶段的生物标志物。
前瞻性地从 5 个预先定义的喂养阶段的 45 名(<34 孕周)早产儿中收集了 225 份唾液样本,并进行了 RT-qPCR。包括了对靶向基因的更好描述和 RT-qPCR 分析结果。测试了先前确定为预测喂养成功的六个基因。这些基因是、、、、、和,以及两个参考基因:和。RT-qPCR 扩增能够分析新生儿唾液中、、、、、和的基因表达。表达结果与样本采集时的喂养状态相关。
总之,、、、、、和这些基因在调节口腔喂养和早产儿发育方面起着关键作用。了解这些基因的影响可以为改善营养护理提供有价值的见解,并支持这些脆弱婴儿的发育。有证据表明,新生儿唾液中的基因表达分析在早期发现和监测疾病以及理解发育过程方面具有巨大潜力。需要更多的研究和协议标准化来充分探索唾液作为新生儿护理中一种非侵入性生物标志物的潜力。