AI Article Synopsis

  • * The HYGIEIA project aims to tackle these challenges using a multi-omic approach, which integrates various biological data types, and is expected to be useful for other infectious and complex diseases beyond COVID-19.
  • * The project includes a plan for a large-scale study employing high-throughput sequencing and mass-spectrometry technologies, with the goal of using a network medicine approach to analyze data and improve patient care based on the findings.

Article Abstract

More than two years on, the COVID-19 pandemic continues to wreak havoc around the world and has battle-tested the pandemic-situation responses of all major global governments. Two key areas of investigation that are still unclear are: the molecular mechanisms that lead to heterogenic patient outcomes, and the causes of Post COVID condition (AKA Long-COVID). In this paper, we introduce the HYGIEIA project, designed to respond to the enormous challenges of the COVID-19 pandemic through a multi-omic approach supported by network medicine. It is hoped that in addition to investigating COVID-19, the logistics deployed within this project will be applicable to other infectious agents, pandemic-type situations, and also other complex, non-infectious diseases. Here, we first look at previous research into COVID-19 in the context of the proteome, metabolome, transcriptome, microbiome, host genome, and viral genome. We then discuss a proposed methodology for a large-scale multi-omic longitudinal study to investigate the aforementioned biological strata through high-throughput sequencing (HTS) and mass-spectrometry (MS) technologies. Lastly, we discuss how a network medicine approach can be used to analyze the data and make meaningful discoveries, with the final aim being the translation of these discoveries into the clinics to improve patient care.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318602PMC
http://dx.doi.org/10.3390/v14071373DOI Listing

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