Precision medicine offers a promising avenue for better therapeutic responses to pandemics such as COVID-19. This study leverages independent patient cohorts in Florence and Liège gathered under the umbrella of the DRAGON consortium for the stratification of molecular phenotypes associated with COVID-19 using topological analysis of global blood gene expression. Whole blood from 173 patients was collected and RNA was sequenced on the Novaseq platform. Molecular phenotypes were defined through topological analysis of gene expression relative to the biological network using the TopMD algorithm. The two cohorts from Florence and Liège allowed for independent validation of the findings in this study. Clustering of the topological maps of differential pathway activation revealed three distinct molecular phenotypes of COVID-19 in the Florence patient cohort, which were also observed in the Liège cohort.

中文翻译：

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大流行病的精准医学：通过全球血液基因表达的拓扑分析定义的 COVID-19 分子表型分层

精准医学为更好地应对 COVID-19 等流行病提供了一条有前途的途径。这项研究利用 DRAGON 联盟旗下聚集的佛罗伦萨和列日的独立患者队列，通过对全球血液基因表达的拓扑分析，对与 COVID-19 相关的分子表型进行分层。收集了 173 名患者的全血，并在 Novaseq 平台上对 RNA 进行了测序。使用 TopMD 算法通过相对于生物网络的基因表达拓扑分析来定义分子表型。来自佛罗伦萨和列日的两个队列对本研究的结果进行了独立验证。差异通路激活拓扑图的聚类揭示了佛罗伦萨患者队列中 COVID-19 的三种不同分子表型，这也在列日队列中观察到。