Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine.
Department of Physiology and Functional Genomics.
Curr Opin Clin Nutr Metab Care. 2022 Sep 1;25(5):292-297. doi: 10.1097/MCO.0000000000000860. Epub 2022 Jul 16.
Precision health provides an unprecedented opportunity to improve the assessment of infant nutrition and health outcomes. Breastfeeding is positively associated with infant health outcomes, yet only 58.3% of children born in 2017 were still breastfeeding at 6 months. There is an urgent need to examine the application of precision health tools that support the development of public health interventions focused on improving breastfeeding outcomes.
In this review, we discussed the novel and highly sensitive techniques that can provide a vast amount of omics data and clinical information just by evaluating small volumes of milk samples, such as RNA sequencing, cytometry by time-of-flight, and human milk analyzer for clinical implementation. These advanced techniques can run multiple samples in a short period of time making them ideal for the routine clinical evaluation of milk samples.
Precision health tools are increasingly used in clinical research studies focused on infant nutrition. The integration of routinely collected multiomics human milk data within the electronic health records has the potential to identify molecular biomarkers associated with infant health outcomes.
目的综述:精准健康为改善婴儿营养和健康结果的评估提供了前所未有的机会。母乳喂养与婴儿健康结果呈正相关,但在 2017 年出生的儿童中,只有 58.3%在 6 个月时仍在母乳喂养。迫切需要研究精准健康工具的应用,这些工具支持制定以改善母乳喂养结果为重点的公共卫生干预措施。
最近的发现:在这篇综述中,我们讨论了一些新颖且高度敏感的技术,这些技术仅通过评估少量的奶样就可以提供大量的组学数据和临床信息,例如 RNA 测序、飞行时间流式细胞术和用于临床实施的人乳分析仪。这些先进的技术可以在短时间内运行多个样本,非常适合常规的临床奶样评估。
总结:精准健康工具越来越多地用于关注婴儿营养的临床研究。在电子健康记录中整合常规收集的多组学人乳数据,有可能识别与婴儿健康结果相关的分子生物标志物。