Cargando…

Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486511/
https://www.ncbi.nlm.nih.gov/pubmed/37685363
http://dx.doi.org/10.3390/diagnostics13172825
_version_ 1785103023864807424
author 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
author_facet 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
author_sort Elbehiry, Ayman
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10486511
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104865112023-09-09 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 Diagnostics (Basel) Article 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. MDPI 2023-08-31 /pmc/articles/PMC10486511/ /pubmed/37685363 http://dx.doi.org/10.3390/diagnostics13172825 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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
Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics
title Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics
title_full Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics
title_fullStr Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics
title_full_unstemmed Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics
title_short Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics
title_sort using protein fingerprinting for identifying and discriminating methicillin resistant staphylococcus aureus isolates from inpatient and outpatient clinics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486511/
https://www.ncbi.nlm.nih.gov/pubmed/37685363
http://dx.doi.org/10.3390/diagnostics13172825
work_keys_str_mv AT elbehiryayman usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT marzoukeman usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT moussaihab usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT anagreyyahsulaiman usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT alghamdiabdulaziz usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT alqarniali usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT aljohaniahmed usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT hemeghassana usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT almuzainiabdulazizm usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT alzabenferas usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT abalkhailadil usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT alsubkirouaa usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT najdiali usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT algohaninawaf usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT abeadbanan usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT gazzazbassam usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics
AT abuokailakram usingproteinfingerprintingforidentifyinganddiscriminatingmethicillinresistantstaphylococcusaureusisolatesfrominpatientandoutpatientclinics