Comprehensive Meta-Analysis of COVID-19 Global Metabolomics Datasets.

ABSTRACT: The novel coronavirus SARS-CoV-2 has spread across the world since 2019, causing a global pandemic. The pathogenesis of the viral infection and the associated clinical presentations depend primarily on host factors such as age and immunity, rather than the viral load or its genetic variations. A growing number of omics studies have been conducted to characterize the host immune and metabolic responses underlying the disease progression. Meta-analyses of these datasets have great potential to identify robust molecular signatures to inform clinical care and to facilitate therapeutics development. In this study, we performed a comprehensive meta-analysis of publicly available global metabolomics datasets obtained from three countries (United States, China and Brazil). To overcome high heterog

SUBMITTER: Pang Z 

PROVIDER: S-EPMC7827862 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature