Abstract:
:In this Letter, we reanalyze published mass spectrometry data sets of clinical samples with a focus on determining the coinfection status of individuals infected with SARS-CoV-2 coronavirus. We demonstrate the use of ComPIL 2.0 software along with a metaproteomics workflow within the Galaxy platform to detect cohabitating potential pathogens in COVID-19 patients using mass spectrometry-based analysis. From a sample collected from gargling solutions, we detected Streptococcus pneumoniae (opportunistic and multidrug-resistant pathogen) and Lactobacillus rhamnosus (a probiotic component) along with SARS-Cov-2. We could also detect Pseudomonas sps. Bc-h from COVID-19 positive samples and Acinetobacter ursingii and Pseudomonas monteilii from COVID-19 negative samples collected from oro- and nasopharyngeal samples. We believe that the early detection and characterization of coinfections by using metaproteomics from COVID-19 patients will potentially impact the diagnosis and treatment of patients affected by SARS-CoV-2 infection.
journal_name
J Proteome Resjournal_title
Journal of proteome researchauthors
Thuy-Boun PS,Mehta S,Gruening B,McGowan T,Nguyen A,Rajczewski AT,Johnson JE,Griffin TJ,Wolan DW,Jagtap PDdoi
10.1021/acs.jproteome.0c00822subject
Has Abstractpub_date
2021-01-04 00:00:00eissn
1535-3893issn
1535-3907pub_type
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journal_title:Journal of proteome research
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