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suck abstract from ncbi

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  • Metaproteomics Analysis of SARS-CoV-2-Infected Patient Samples Reveals Presence of Potential Coinfecting Microorganisms #MMPMID33393790
  • Thuy-Boun PS; Mehta S; Gruening B; McGowan T; Nguyen A; Rajczewski AT; Johnson JE; Griffin TJ; Wolan DW; Jagtap PD
  • J Proteome Res 2021[Feb]; 20 (2): 1451-1454 PMID33393790show ga
  • 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.
  • |Acinetobacter/isolation & purification[MESH]
  • |Bacterial Infections/complications/*diagnosis/microbiology[MESH]
  • |COVID-19/complications/*diagnosis/virology[MESH]
  • |Coinfection/microbiology/virology[MESH]
  • |Humans[MESH]
  • |Mass Spectrometry/methods[MESH]
  • |Nasopharynx/microbiology/virology[MESH]
  • |Proteomics/*methods[MESH]
  • |Pseudomonas/isolation & purification[MESH]
  • |SARS-CoV-2/*metabolism/physiology[MESH]
  • |Streptococcus pneumoniae/isolation & purification[MESH]

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  • suck abstract from ncbi

    1451 2.20 2021