Chorna Nataliya, Godoy-Vitorino Filipa
Department of Biochemistry, UPR School of Medicine, 00921 San Juan, Puerto Rico.
Department of Microbiology & Medical Zoology, UPR School of Medicine, 00921 San Juan, Puerto Rico.
Biomedicines. 2020 Apr 8;8(4):81. doi: 10.3390/biomedicines8040081.
The multi-omic integration of microbiota data with metabolomics has gained popularity. This protocol is based on a human multi-omics study, integrating cervicovaginal microbiota, HPV status and neoplasia, with urinary metabolites. Indeed, to understand the biology of the infections and to develop adequate interventions for cervical cancer prevention, studies are needed to characterize in detail the cervical microbiota and understand the systemic metabolome. This article is a detailed protocol for the multi-omic integration of cervical microbiota and urine metabolome to shed light on the systemic effects of cervical dysbioses associated with Human Papillomavirus (HPV) infections. This methods article suggests detailed sample collection and laboratory processes of metabolomics, DNA extraction for microbiota, HPV typing, and the bioinformatic analyses of the data, both to characterize the metabolome, the microbiota, and joint multi-omic analyses, useful for the development of new point-of-care diagnostic tests based on these approaches.
微生物群数据与代谢组学的多组学整合已受到广泛关注。本方案基于一项人类多组学研究,将宫颈阴道微生物群、HPV状态和肿瘤形成与尿液代谢物进行整合。事实上,为了了解感染的生物学机制并开发预防宫颈癌的适当干预措施,需要开展研究以详细表征宫颈微生物群并了解全身代谢组。本文是一份关于宫颈微生物群和尿液代谢组多组学整合的详细方案,旨在阐明与人类乳头瘤病毒(HPV)感染相关的宫颈生态失调的全身影响。这篇方法学文章介绍了代谢组学的详细样本采集和实验室流程、微生物群的DNA提取、HPV分型以及数据的生物信息学分析,以表征代谢组、微生物群并进行联合多组学分析,这对于基于这些方法开发新的即时诊断测试很有用。