Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Newcastle Neonatal Service, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle Upon Tyne, UK.
Expert Rev Proteomics. 2021 Apr;18(4):247-259. doi: 10.1080/14789450.2021.1922278. Epub 2021 May 2.
: At birth, the gastrointestinal (GI) tract is colonized by a complex community of microorganisms, forming the basis of the gut microbiome. The gut microbiome plays a fundamental role in host health, disorders of which can lead to an array of GI diseases, both short and long term. Pediatric GI diseases are responsible for significant morbidity and mortality, but many remain poorly understood. Recent advancements in high-throughput technologies have enabled deeper profiling of GI morbidities. Technologies, such as metagenomics, transcriptomics, proteomics and metabolomics, have already been used to identify associations with specific pathologies, and highlight an exciting area of research. However, since these diseases are often complex and multifactorial by nature, reliance on a single experimental approach may not capture the true biological complexity. Therefore, multi-omics aims to integrate singular omic data to further enhance our understanding of disease.: This review will discuss and provide an overview of the main omic technologies that are used to study complex GI pathologies in early life.: Multi-omic technologies can help to unravel the complexities of several diseases during early life, aiding in biomarker discovery and enabling the development of novel therapeutics and augment predictive models.
: 在出生时，胃肠道（GI）被复杂的微生物群落定植，形成肠道微生物组的基础。肠道微生物组在宿主健康中起着至关重要的作用，其失调会导致一系列短期和长期的 GI 疾病。儿科 GI 疾病的发病率和死亡率都很高，但许多疾病仍未得到充分理解。高通量技术的最新进展使我们能够更深入地研究 GI 疾病。已经使用了诸如宏基因组学、转录组学、蛋白质组学和代谢组学等技术来识别与特定病理的关联，并突出了一个令人兴奋的研究领域。然而，由于这些疾病本质上通常是复杂和多因素的，因此仅依赖单一的实验方法可能无法捕捉到真正的生物学复杂性。因此，多组学旨在整合单一的组学数据，以进一步增强我们对疾病的理解。: 本文将讨论并概述用于研究早期生命中复杂 GI 病理的主要组学技术。: 多组学技术可以帮助揭示生命早期多种疾病的复杂性，有助于发现生物标志物，并能够开发新的治疗方法和增强预测模型。
