Strain-level Staphylococcus differentiation by CeO2-metal oxide laser ionization mass spectrometry fatty acid profiling

Autor: Kent J. Voorhees, Nicholas R. Stambach, Seungki Kim, Nicholas R. Saichek, Christopher Cox, Peter de B. Harrington
Rok vydání: 2016
Předmět:
0301 basic medicine
Staphylococcus
Antibiotics
MRSA
medicine.disease_cause
MALDI–MS
Medical and Health Sciences
01 natural sciences
MALDI-MS
Partial least squares regression
Phylogeny
chemistry.chemical_classification
Principal Component Analysis
Fatty Acids
Cerium
Staphylococcal Infections
Biological Sciences
3. Good health
Infectious Diseases
5.1 Pharmaceuticals
Development of treatments and therapeutic interventions
Infection
Research Article
Microbiology (medical)
medicine.drug_class
030106 microbiology
Biology
Staphylococcal infections
Microbiology
03 medical and health sciences
Metabolomics
Antibiotic resistance
medicine
Humans
Matrix-Assisted Laser Desorption-Ionization
Fatty acids
Agricultural and Veterinary Sciences
Spectrometry
010401 analytical chemistry
Fatty acid
Mass
medicine.disease
MOLI MS
0104 chemical sciences
Emerging Infectious Diseases
Parasitology
chemistry
Spectrometry
Mass
Matrix-Assisted Laser Desorption-Ionization
Antimicrobial Resistance
Zdroj: BMC microbiology, vol 16, iss 1
BMC Microbiology
ISSN: 1471-2180
DOI: 10.1186/s12866-016-0658-y
Popis: Background The Staphylococcus genus is composed of 44 species, with S. aureus being the most pathogenic. Isolates of S. aureus are generally susceptible to β-lactam antibiotics, but extensive use of this class of drugs has led to increasing emergence of resistant strains. Increased occurrence of coagulase-negative staphylococci as well as S. aureus infections, some with resistance to multiple classes of antibiotics, has driven the necessity for innovative options for treatment and infection control. Despite these increasing needs, current methods still only possess species-level capabilities and require secondary testing to determine antibiotic resistance. This study describes the use of metal oxide laser ionization mass spectrometry fatty acid (FA) profiling as a rapid, simultaneous Staphylococcus identification and antibiotic resistance determination method. Results Principal component analysis was used to classify 50 Staphyloccocus isolates. Leave-one-spectrum-out cross-validation indicated 100 % correct assignment at the species and strain level. Fuzzy rule building expert system classification and self-optimizing partial least squares discriminant analysis, with more rigorous evaluations, also consistently achieved greater than 94 and 84 % accuracy, respectively. Preliminary analysis differentiating MRSA from MSSA demonstrated the feasibility of simultaneous determination of strain identification and antibiotic resistance. Conclusion The utility of CeO2-MOLI MS FA profiling coupled with multivariate statistical analysis for performing strain-level differentiation of various Staphylococcus species proved to be a fast and reliable tool for identification. The simultaneous strain-level detection and antibiotic resistance determination achieved with this method should greatly improve outcomes and reduce clinical costs for therapeutic management and infection control.
Databáze: OpenAIRE
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