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Abstract

The COVID-19 pandemic continues and fluctuates posing unprecedented challenges to global healthcare systems, requiring a comprehensive understanding of viral and microbial interactions within infected individuals. Metagenomics, a powerful tool for analyzing genetic material from diverse microorganisms, has emerged as a promising approach for uncovering co-infections in COVID-19 patients. This review aims to assess the current state of metagenomics-based studies focused on identifying co-infections in COVID-19 patients. Methods: This study is a review of the literature collected from the search engine Google Scholar and PubMed Electronic Database with the keywords: “COVID-19”, “Co-infection”, and “Metagenomics”. We looked for publications published in any language between 2020 and 2023. We obtained the original articles of each relevant and reported research design, and 21 eligible articles were found for inclusion in the analysis. Co-infection has been shown in several studies to exacerbate patient clinical problems to varying degrees. Metagenomic next-generation sequencing (mNGS) technology can simultaneously show all infections present in organisms. Metagenomics analysis has increased the diagnostic level of the pathogen and provided valuable insights into the microbial landscape of COVID-19 patients, uncovering the prevalence and impact of co-infections.

Keywords

COVID-19, co-infection, metagenomics, SARS-CoV-2

Article Details

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