Academic Journal
Identifying Clinically Relevant Bacteria Directly from Culture and Clinical Samples with a Handheld Mass Spectrometry Probe
| Title: | Identifying Clinically Relevant Bacteria Directly from Culture and Clinical Samples with a Handheld Mass Spectrometry Probe |
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| Authors: | Sydney C Povilaitis, Ashish Chakraborty, Lindsey M Kirkpatrick, Rachel D Downey, Sarmistha B Hauger, Livia S Eberlin |
| Contributors: | Pediatrics, School of Medicine |
| Source: | Clinical Chemistry. 68:1459-1470 |
| Publisher Information: | Oxford University Press (OUP), 2022. |
| Publication Year: | 2022 |
| Subject Terms: | 0301 basic medicine, Bacteria identification, Infectious disease, Staphylococcus aureus, 0303 health sciences, 03 medical and health sciences, MasSpec Pen, Mass spectrometry, Bacteria, Humans, Mass Spectrometry, 3. Good health |
| Description: | BackgroundRapid identification of bacteria is critical to prevent antimicrobial resistance and ensure positive patient outcomes. We have developed the MasSpec Pen, a handheld mass spectrometry-based device that enables rapid analysis of biological samples. Here, we evaluated the MasSpec Pen for identification of bacteria from culture and clinical samples.MethodsA total of 247 molecular profiles were obtained from 43 well-characterized strains of 8 bacteria species that are clinically relevant to osteoarticular infections, including Staphylococcus aureus, Group A and B Streptococcus, and Kingella kingae, using the MasSpec Pen coupled to a high-resolution mass spectrometer. The molecular profiles were used to generate statistical classifiers based on metabolites that were predictive of Gram stain category, genus, and species. Then, we directly analyzed samples from 4 patients, including surgical specimens and clinical isolates, and used the classifiers to predict the etiologic agent.ResultsHigh accuracies were achieved for all levels of classification with a mean accuracy of 93.3% considering training and validation sets. Several biomolecules were detected at varied abundances between classes, many of which were selected as predictive features in the classifiers including glycerophospholipids and quorum-sensing molecules. The classifiers also enabled correct identification of Gram stain type and genus of the etiologic agent from 3 surgical specimens and all classification levels for clinical specimen isolates.ConclusionsThe MasSpec Pen enables identification of several bacteria at different taxonomic levels in seconds from cultured samples and has potential for culture-independent identification of bacteria directly from clinical samples based on the detection of metabolic species. |
| Document Type: | Article |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 1530-8561 0009-9147 |
| DOI: | 10.1093/clinchem/hvac147 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/36103272 |
| Rights: | OUP Standard Publication Reuse |
| Accession Number: | edsair.doi.dedup.....4e12b4ddd45035609f3db2c2f5250cff |
| Database: | OpenAIRE |
| ISSN: | 15308561 00099147 |
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| DOI: | 10.1093/clinchem/hvac147 |