Blostein Freida, Foxman Betsy
University of Michigan School of Public Health, Ann Arbor, MI, 48103.
Curr Epidemiol Rep. 2021 Sep;8:143-150. doi: 10.1007/s40471-021-00263-8. Epub 2021 Feb 23.
We describe different methods for microbiome assessment and analysis and highlight some of the challenges of using omics data in epidemiologic studies of adverse pregnancy outcomes.
Human microbiomes are dynamic and vary by ancestry and geography. The composition and dynamics of the vaginal microbiome has been associated with risk of preterm birth.
There are several different methods for characterizing the microbiome. Choice of method depends on the research question and resources available. Added to known challenges of conducting and analyzing epidemiologic studies are the unique challenges associated with microbiome detection and analysis. The resulting omics assessments of human microbial communities have great potential to identify prognostics, diagnostics and potentially therapeutics for adverse pregnancy outcomes.
我们描述了微生物组评估和分析的不同方法,并强调了在不良妊娠结局的流行病学研究中使用组学数据所面临的一些挑战。
人类微生物组是动态的,因血统和地理位置而异。阴道微生物组的组成和动态变化与早产风险相关。
有几种不同的方法来表征微生物组。方法的选择取决于研究问题和可用资源。除了进行和分析流行病学研究的已知挑战外,微生物组检测和分析还存在独特的挑战。由此产生的对人类微生物群落的组学评估在识别不良妊娠结局的预后、诊断和潜在治疗方法方面具有巨大潜力。