Quantifying the human vaginal community state types (CSTs) with the species specificity index.
Quantifying the human vaginal community state types (CSTs) with the species specificity index.
复制标题
使用物种特异性指数量化人类阴道群落状态类型 (CST)
作者：
Ma ZS;Li L
Ravel等人（2011）首次确定的五种群落状态类型（CST）为人类阴道微生物群落（HVMC）的状态分类提供了一个强大的方案。分类是一个重大的进步，因为它设计了一个有效的处理，以处理巨大的受试者间的异质性和/或受试者内的时间变异性，其量化是非常困难的，但至关重要的，如BV（细菌性阴道病）病因的理解。事实上，可以说，用于解释BV病因学的最合理的生态学假设在很大程度上取决于CST分类（Gajer et al.，2012; Ma，Forney & Ravel，2012; Ravel等人，2011年）。然而，国家技术服务小组目前的形式仍然是定性的，缺乏确定国家技术服务小组的定量标准。在这篇文章中，我们开发了一种定量工具，可以通过应用Mariadassou，Pichon和Ebert（2015）的物种特异性和我们在这项研究中提出的特异性聚集指数（SAI）来可靠地区分CST。新工具准确地表征了具有400个横截面队列的五个CST的分类（Ravel等人，2011）和32-纵向队列（Gajer等人，2012）最初用于制定CST计划的研究。此外，它提供了一个机制的解释，原来的CST计划，通过调用的范式特异性连续的物种适应和分布。我们所取得的进展不仅可以促进CST方案的准确应用，还可以为微生物组分型提供有效工具的提示，例如对肠道类型进行分类。
The five community state types (CSTs) first identified by Ravel et al. (2011) offered a powerful scheme to classify the states of human vaginal microbial communities (HVMC). The classification is a significant advance because it devised an effective handle to deal with the enormous inter-subject heterogeneity and/or intra-subject temporal variability, the quantification of which is extremely difficult but of critical importance such as the understanding of BV (bacterial vaginosis) etiology. Indeed, arguably the most plausible ecological hypothesis for interpreting the BV etiology heavily depends on the CST classification (Gajer et al., 2012; Ma, Forney & Ravel, 2012; Ravel et al., 2011). Nevertheless, the current form of CSTs is still qualitative and lacks a quantitative criterion to determine the CSTs. In this article, we develop a quantitative tool that can reliably distinguish the CSTs by applying the species specificity of Mariadassou, Pichon & Ebert (2015) and the specificity aggregation index (SAI) we propose in this study. The new tool accurately characterized the classifications of the five CSTs with both 400-crosssectional cohort (Ravel et al., 2011) and 32-longitudinal cohort (Gajer et al., 2012) studies originally utilized to develop the CST scheme. Furthermore, it offers a mechanistic interpretation of the original CST scheme by invoking the paradigm of specificity continuum for species adaptation and distribution. The advances we made may not only facilitate the accurate applications of the CST scheme, but also offer hints towards an effective tool for microbiome typing such as classifying gut enterotypes.