Your browser doesn't support javascript.
loading
Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics.
Elbehiry, Ayman; Marzouk, Eman; Moussa, Ihab; Anagreyyah, Sulaiman; AlGhamdi, Abdulaziz; Alqarni, Ali; Aljohani, Ahmed; Hemeg, Hassan A; Almuzaini, Abdulaziz M; Alzaben, Feras; Abalkhail, Adil; Alsubki, Roua A; Najdi, Ali; Algohani, Nawaf; Abead, Banan; Gazzaz, Bassam; Abu-Okail, Akram.
Afiliación
  • Elbehiry A; Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia.
  • Marzouk E; Department of Bacteriology, Mycology and Immunology, Faculty of Veterinary Medicine, University of Sadat City, Sadat City 32511, Egypt.
  • Moussa I; Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia.
  • Anagreyyah S; Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
  • AlGhamdi A; Family Medicine Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
  • Alqarni A; Medical Director Office, North Area Armed Forces Hospital, King Khalid Military City 39747, Saudi Arabia.
  • Aljohani A; Respiratory Therapy Department, Armed Forces Hospital Dhahran, Dhahran 34641, Saudi Arabia.
  • Hemeg HA; Patient Affairs Department, Sharourah Armed Forces Hospital, Sharourah 68372, Saudi Arabia.
  • Almuzaini AM; Department of Medical Technology/Microbiology, College of Applied Medical Science, Taibah University, Madina 30001, Saudi Arabia.
  • Alzaben F; Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia.
  • Abalkhail A; Department of Food Service, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
  • Alsubki RA; Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia.
  • Najdi A; Department of Clinical Laboratory Science, College of Applied Medical Science, King Saud University, Riyadh 11433, Saudi Arabia.
  • Algohani N; Northern Area Armed Forces Hospital, King Khalid Military City 39748, Saudi Arabia.
  • Abead B; Consultant Forensic Medicine, Forensic Medicine Center, Madina 42319, Saudi Arabia.
  • Gazzaz B; Support Service Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
  • Abu-Okail A; Patient Affairs Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Diagnostics (Basel) ; 13(17)2023 Aug 31.
Article en En | MEDLINE | ID: mdl-37685363
In hospitals and other clinical settings, Methicillin-resistant Staphylococcus aureus (MRSA) is a particularly dangerous pathogen that can cause serious or even fatal infections. Thus, the detection and differentiation of MRSA has become an urgent matter in order to provide appropriate treatment and timely intervention in infection control. To ensure this, laboratories must have access to the most up-to-date testing methods and technology available. This study was conducted to determine whether protein fingerprinting technology could be used to identify and distinguish MRSA recovered from both inpatients and outpatients. A total of 326 S. aureus isolates were obtained from 2800 in- and outpatient samples collected from King Faisal Specialist Hospital and Research Centre in Riyadh, Saudi Arabia, from October 2018 to March 2021. For the phenotypic identification of 326 probable S. aureus cultures, microscopic analysis, Gram staining, a tube coagulase test, a Staph ID 32 API system, and a Vitek 2 Compact system were used. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), referred to as protein fingerprinting, was performed on each bacterial isolate to determine its proteomic composition. As part of the analysis, Principal Component Analysis (PCA) and a single-peak analysis of MALDI-TOF MS software were also used to distinguish between Methicillin-sensitive Staphylococcus aureus (MSSA) and MRSA. According to the results, S. aureus isolates constituted 326 out of 2800 (11.64%) based on the culture technique. The Staph ID 32 API system and Vitek 2 Compact System were able to correctly identify 262 (80.7%) and 281 (86.2%) S. aureus strains, respectively. Based on the Oxacillin Disc Diffusion Method, 197 (62.23%) of 326 isolates of S. aureus exhibited a cefoxitin inhibition zone of less than 21 mm and an oxacillin inhibition zone of less than 10 mm, and were classified as MRSA under Clinical Laboratory Standards Institute guidelines. MALDI-TOF MS was able to correctly identify 100% of all S. aureus isolates with a score value equal to or greater than 2.00. In addition, a close relationship was found between S. aureus isolates and higher peak intensities in the mass ranges of 3990 Da, 4120 Da, and 5850 Da, which were found in MRSA isolates but absent in MSSA isolates. Therefore, protein fingerprinting has the potential to be used in clinical settings to rapidly detect and differentiate MRSA isolates, allowing for more targeted treatments and improved patient outcomes.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Suiza