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662. Identification of Clinically Relevant Microbes with the MasSpec Pen

BACKGROUND: In the age of antimicrobial resistance, rapid identification of infectious agents is critical for antimicrobial stewardship and effective therapy. To this end, ambient ionization mass spectrometry techniques have been applied for rapid identification of microbes directly from culture iso...

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Autores principales: Povilaitis, Sydney C, Chakraborty, Ashish D, Downey, Rachel D, Hauger, Sarmistha Bhaduri, Eberlin, Livia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777927/
http://dx.doi.org/10.1093/ofid/ofaa439.855
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author Povilaitis, Sydney C
Chakraborty, Ashish D
Downey, Rachel D
Hauger, Sarmistha Bhaduri
Eberlin, Livia
author_facet Povilaitis, Sydney C
Chakraborty, Ashish D
Downey, Rachel D
Hauger, Sarmistha Bhaduri
Eberlin, Livia
author_sort Povilaitis, Sydney C
collection PubMed
description BACKGROUND: In the age of antimicrobial resistance, rapid identification of infectious agents is critical for antimicrobial stewardship and effective therapy. To this end, ambient ionization mass spectrometry techniques have been applied for rapid identification of microbes directly from culture isolates. We have developed a handheld, mass spectrometry-based device, the MasSpec Pen, that permits direct molecular analysis of a biological sample in seconds (Scheme 1). Here, we employ the MasSpec Pen to identify clinically relevant microbes directly from culture isolates. METHODS: Staphylococcus aureus, Staphylococcus epidermidis, Group A and B Streptococcus, Kingella kingae (K.k), and Pseudomonas aeruginosa (P.a) were cultured on 5% sheep’s blood nutrient agar at 37 °C overnight. Colonies were transferred to a glass slide where they were analyzed directly with the MasSpec Pen coupled to a Q Exactive mass spectrometer (Thermo Scientific) in negative ion mode. For MasSpec Pen analysis, a 10 µL droplet of water was held in contact with the sample surface for 3 seconds and then aspirated to the mass spectrometer for analysis. Data was normalized and the molecular features resulting from the analysis solvent and nutrient medium were removed. The least absolute shrinkage and selection operator (lasso) statistical method was used to build classification models for prediction of bacterial identity. Model performance was evaluated by leave-one-out cross-validation and a validation set of samples. Scheme 1: MasSpec Pen workflow [Image: see text] RESULTS: Various small molecules were detected including metabolites and glycerophospholipid species. The mass spectral profiles for each species exhibited qualitative differences among them (Figure 1). Additionally, several quorum-sensing molecules were observed in P.a. including hydroxy-heptyl-quinoline (m/z 242.155). Lasso statistical classifiers were created to differentiate organisms at the level of Gram type, genus, and species with each model comprised of a sparse set of molecular features. Accuracies of 90% or greater were achieved for all lasso models and as high as 98% for the differentiation of Staphylococcus (Staph.) and Streptococcus (Strep.). Figure 1: Molecular profiles of species analyzed [Image: see text] Figure 2: Statistical classification results [Image: see text] CONCLUSION: These results demonstrate the potential of the MasSpec Pen as a tool for clinical analysis of infected biospecimens. DISCLOSURES: Sydney C. Povilaitis, BA, MS Pen Technologies, Inc. (Other Financial or Material Support, Patent) Livia Eberlin, PhD, MS Pen Technolpogies, Inc. (Board Member, Shareholder)
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spelling pubmed-77779272021-01-07 662. Identification of Clinically Relevant Microbes with the MasSpec Pen Povilaitis, Sydney C Chakraborty, Ashish D Downey, Rachel D Hauger, Sarmistha Bhaduri Eberlin, Livia Open Forum Infect Dis Poster Abstracts BACKGROUND: In the age of antimicrobial resistance, rapid identification of infectious agents is critical for antimicrobial stewardship and effective therapy. To this end, ambient ionization mass spectrometry techniques have been applied for rapid identification of microbes directly from culture isolates. We have developed a handheld, mass spectrometry-based device, the MasSpec Pen, that permits direct molecular analysis of a biological sample in seconds (Scheme 1). Here, we employ the MasSpec Pen to identify clinically relevant microbes directly from culture isolates. METHODS: Staphylococcus aureus, Staphylococcus epidermidis, Group A and B Streptococcus, Kingella kingae (K.k), and Pseudomonas aeruginosa (P.a) were cultured on 5% sheep’s blood nutrient agar at 37 °C overnight. Colonies were transferred to a glass slide where they were analyzed directly with the MasSpec Pen coupled to a Q Exactive mass spectrometer (Thermo Scientific) in negative ion mode. For MasSpec Pen analysis, a 10 µL droplet of water was held in contact with the sample surface for 3 seconds and then aspirated to the mass spectrometer for analysis. Data was normalized and the molecular features resulting from the analysis solvent and nutrient medium were removed. The least absolute shrinkage and selection operator (lasso) statistical method was used to build classification models for prediction of bacterial identity. Model performance was evaluated by leave-one-out cross-validation and a validation set of samples. Scheme 1: MasSpec Pen workflow [Image: see text] RESULTS: Various small molecules were detected including metabolites and glycerophospholipid species. The mass spectral profiles for each species exhibited qualitative differences among them (Figure 1). Additionally, several quorum-sensing molecules were observed in P.a. including hydroxy-heptyl-quinoline (m/z 242.155). Lasso statistical classifiers were created to differentiate organisms at the level of Gram type, genus, and species with each model comprised of a sparse set of molecular features. Accuracies of 90% or greater were achieved for all lasso models and as high as 98% for the differentiation of Staphylococcus (Staph.) and Streptococcus (Strep.). Figure 1: Molecular profiles of species analyzed [Image: see text] Figure 2: Statistical classification results [Image: see text] CONCLUSION: These results demonstrate the potential of the MasSpec Pen as a tool for clinical analysis of infected biospecimens. DISCLOSURES: Sydney C. Povilaitis, BA, MS Pen Technologies, Inc. (Other Financial or Material Support, Patent) Livia Eberlin, PhD, MS Pen Technolpogies, Inc. (Board Member, Shareholder) Oxford University Press 2020-12-31 /pmc/articles/PMC7777927/ http://dx.doi.org/10.1093/ofid/ofaa439.855 Text en © The Author 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Abstracts
Povilaitis, Sydney C
Chakraborty, Ashish D
Downey, Rachel D
Hauger, Sarmistha Bhaduri
Eberlin, Livia
662. Identification of Clinically Relevant Microbes with the MasSpec Pen
title 662. Identification of Clinically Relevant Microbes with the MasSpec Pen
title_full 662. Identification of Clinically Relevant Microbes with the MasSpec Pen
title_fullStr 662. Identification of Clinically Relevant Microbes with the MasSpec Pen
title_full_unstemmed 662. Identification of Clinically Relevant Microbes with the MasSpec Pen
title_short 662. Identification of Clinically Relevant Microbes with the MasSpec Pen
title_sort 662. identification of clinically relevant microbes with the masspec pen
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777927/
http://dx.doi.org/10.1093/ofid/ofaa439.855
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