1
|
Marzouk E, Abalkhail A, ALqahtani J, Alsowat K, Alanazi M, Alzaben F, Alnasser A, Alasmari A, Rawway M, Draz A, Abu-Okail A, Altwijery A, Moussa I, Alsughayyir S, Alamri S, Althagafi M, Almaliki A, Elmanssury AE, Elbehiry A. Proteome analysis, genetic characterization, and antibiotic resistance patterns of Klebsiella pneumoniae clinical isolates. AMB Express 2024; 14:54. [PMID: 38722429 PMCID: PMC11082098 DOI: 10.1186/s13568-024-01710-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 04/22/2024] [Indexed: 05/12/2024] Open
Abstract
Klebsiella pneumoniae (K. pneumoniae) is a member of the ESKAPE group and is responsible for severe community and healthcare-associated infections. Certain Klebsiella species have very similar phenotypes, which presents a challenge in identifying K. pneumoniae. Multidrug-resistant K. pneumoniae is also a serious global problem that needs to be addressed. A total of 190 isolates were isolated from urine (n = 69), respiratory (n = 52), wound (n = 48) and blood (n = 21) samples collected from various hospitals in the Al-Qassim, Saudi Arabia, between March 2021 and October 2022. Our study aimed to rapidly and accurately detect K. pneumoniae using the Peptide Mass Fingerprinting (PMF) technique, confirmed by real-time PCR. Additionally, screening for antibiotic susceptibility and resistance was conducted. The primary methods for identifying K. pneumoniae isolates were culture, Gram staining, and the Vitek® 2 ID Compact system. An automated MALDI Biotyper (MBT) instrument was used for proteome identification, which was subsequently confirmed using SYBR green real-time polymerase chain reaction (real-time PCR) and microfluidic electrophoresis assays. Vitek® 2 AST-GN66 cards were utilized to evaluate the antimicrobial sensitivity of K. pneumoniae isolates. According to our results, Vitek® 2 Compact accurately identified 178 out of 190 (93.68%) K. pneumoniae isolates, while the PMF technique correctly detected 188 out of 190 (98.95%) isolates with a score value of 2.00 or higher. Principal component analysis was conducted using MBT Compass software to classify K. pneumoniae isolates based on their structure. Based on the analysis of the single peak intensities generated by MBT, the highest peak values were found at 3444, 5022, 5525, 6847, and 7537 m/z. K. pneumoniae gene testing confirmed the PMF results, with 90.53% detecting entrobactin, 70% detecting 16 S rRNA, and 32.63% detecting ferric iron uptake. The resistance of the K. pneumoniae isolates to antibiotics was as follows: 64.75% for cefazolin, 62.63% for trimethoprim/sulfamethoxazole, 59.45% for ampicillin, 58.42% for cefoxitin, 57.37% for ceftriaxone, 53.68% for cefepime, 52.11% for ampicillin-sulbactam, 50.53% for ceftazidime, 52.11% for ertapenem, and 49.47% for imipenem. Based on the results of the double-disk synergy test, 93 out of 190 (48.95%) K. pneumoniae isolates were extended-spectrum beta-lactamase. In conclusion, PMF is a powerful analytical technique used to identify K. pneumoniae isolates from clinical samples based on their proteomic characteristics. K. pneumoniae isolates have shown increasing resistance to antibiotics from different classes, including carbapenem, which poses a significant threat to human health as these infections may become difficult to treat.
Collapse
Affiliation(s)
- Eman Marzouk
- Department of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 , P.O. Box 6666, Saudi Arabia.
| | - Adil Abalkhail
- Department of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 , P.O. Box 6666, Saudi Arabia
| | - Jamaan ALqahtani
- Family Medicine Department, King Fahad Armed Hospital, 23311, Jeddah, Saudi Arabia
| | - Khalid Alsowat
- Pharmacy Department, Prince Sultan Armed Forces Hospital, 42375, Medina, Saudi Arabia
| | - Menwer Alanazi
- Dental Department, King Salman Armed Forces Hospital, 47521, Tabuk, Saudi Arabia
| | - Feras Alzaben
- Department of Food Service, King Fahad Armed Forces Hospital, 23311, Jeddah, Saudi Arabia
| | - Abdulaziz Alnasser
- Psychiatry Department, Prince Sultan Military Medical City, 11632, Riyadh, Saudi Arabia
| | - Anas Alasmari
- Neurology department, king Fahad military hospital, 23311, Jeddah, Saudi Arabia
| | - Mohammed Rawway
- Biology Department, College of Science, Jouf University, 42421, Sakaka, Saudi Arabia
- Botany and Microbiology Department, Faculty of Science, Al-Azhar University, 71524, Assiut, Egypt
| | - Abdelmaged Draz
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, Qassim University, 52571, Buraydah, Saudi Arabia
| | - Akram Abu-Okail
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, Qassim University, 52571, Buraydah, Saudi Arabia
| | | | - Ihab Moussa
- Department of Botany and Microbiology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Sulaiman Alsughayyir
- Medical Administration, Armed Forces Medical Services, 12426, Riyadh, Saudi Arabia
| | - Saleh Alamri
- Prince Sultan Military Medical City, 13525, Riyadh, Saudi Arabia
| | - Mohammed Althagafi
- Laboratory Department, Armed Forces Center for Health Rehabilitation, 21944, Taif, Saudi Arabia
| | - Abdulrahman Almaliki
- Physiotherapy Department, Armed Forces Center for Health Rehabilitation, 21944, Taif, Saudi Arabia
| | - Ahmed Elnadif Elmanssury
- Department of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 , P.O. Box 6666, Saudi Arabia
| | - Ayman Elbehiry
- Department of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 , P.O. Box 6666, Saudi Arabia
| |
Collapse
|
2
|
Zeng P, Guan Q, Zhang Q, Yu L, Yan X, Hong Y, Duan L, Wang C. SERS detection of foodborne pathogens in beverage with Au nanostars. Mikrochim Acta 2023; 191:28. [PMID: 38093122 DOI: 10.1007/s00604-023-06105-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/15/2023] [Indexed: 12/18/2023]
Abstract
The aim of this study is to develop a simple but rapid method for the determination of foodborne pathogens in complex matrices (beverages) by surface enhanced Raman spectroscopy (SERS) combined with Au nanostar solid-phase substrates. The star-shaped singlet Au nanostructure was formed on the surface of a stainless steel sheet by chemical replacement reaction. Rhodamine 6G verified the sensitivity and reproducibility of this substrate, and the relative standard deviations of the SERS intensity at 1312 cm-1, 1364 cm-1, and 1510 cm-1 displacements were 3.40%, 5.64%, and 3.48%, respectively. By detecting four pathogens in beverage samples on Au nanostar substrates, the utility of the SERS assay was demonstrated, while the combination of principal component analysis (PCA) and hierarchical cluster analysis (HCA) further enabled the isolation and identification of pathogens. The results of spiked beverages were validated in conventional culture identification and Vitek 2 Compact biochemical identification system experiments. Thus, this research demonstrated that Au nanostar substrates can be effectively utilized for the recognition of pathogenic bacteria and have immense promise to advance the progress of quick detection of foodborne pathogens and food safety.
Collapse
Affiliation(s)
- Pei Zeng
- School of Food Science & Engineering, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Qi Guan
- School of Food Science & Engineering, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Qianqian Zhang
- School of Food Science & Engineering, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Lili Yu
- School of Food Science & Engineering, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Xianzai Yan
- School of Food Science & Engineering, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Yanping Hong
- School of Food Science & Engineering, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Luying Duan
- School of Food Science & Engineering, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Chunrong Wang
- School of Food Science & Engineering, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China.
| |
Collapse
|
3
|
Elbehiry A, Marzouk E, Moussa I, Anagreyyah S, AlGhamdi A, Alqarni A, Aljohani A, Hemeg HA, Almuzaini AM, Alzaben F, Abalkhail A, Alsubki RA, Najdi A, Algohani N, Abead B, Gazzaz B, Abu-Okail A. Using Protein Fingerprinting for Identifying and Discriminating Methicillin Resistant Staphylococcus aureus Isolates from Inpatient and Outpatient Clinics. Diagnostics (Basel) 2023; 13:2825. [PMID: 37685363 PMCID: PMC10486511 DOI: 10.3390/diagnostics13172825] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/25/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
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.
Collapse
Affiliation(s)
- Ayman Elbehiry
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia
- Department of Bacteriology, Mycology and Immunology, Faculty of Veterinary Medicine, University of Sadat City, Sadat City 32511, Egypt
| | - Eman Marzouk
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia
| | - Ihab Moussa
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Sulaiman Anagreyyah
- Family Medicine Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia
| | - Abdulaziz AlGhamdi
- Medical Director Office, North Area Armed Forces Hospital, King Khalid Military City 39747, Saudi Arabia
| | - Ali Alqarni
- Respiratory Therapy Department, Armed Forces Hospital Dhahran, Dhahran 34641, Saudi Arabia
| | - Ahmed Aljohani
- Patient Affairs Department, Sharourah Armed Forces Hospital, Sharourah 68372, Saudi Arabia
| | - Hassan A. Hemeg
- Department of Medical Technology/Microbiology, College of Applied Medical Science, Taibah University, Madina 30001, Saudi Arabia
| | - Abdulaziz M. Almuzaini
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia
| | - Feras Alzaben
- Department of Food Service, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia
| | - Adil Abalkhail
- Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia
| | - Roua A. Alsubki
- Department of Clinical Laboratory Science, College of Applied Medical Science, King Saud University, Riyadh 11433, Saudi Arabia
| | - Ali Najdi
- Northern Area Armed Forces Hospital, King Khalid Military City 39748, Saudi Arabia
| | - Nawaf Algohani
- Consultant Forensic Medicine, Forensic Medicine Center, Madina 42319, Saudi Arabia
| | - Banan Abead
- Support Service Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia;
| | - Bassam Gazzaz
- Patient Affairs Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia
| | - Akram Abu-Okail
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia
| |
Collapse
|
4
|
Identification of Listeria species and Multilocus Variable-Number Tandem Repeat Analysis (MLVA) Typing of Listeria innocua and Listeria monocytogenes Isolates from Cattle Farms and Beef and Beef-Based Products from Retail Outlets in Mpumalanga and North West Provinces, South Africa. Pathogens 2023; 12:pathogens12010147. [PMID: 36678495 PMCID: PMC9862459 DOI: 10.3390/pathogens12010147] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/07/2023] [Accepted: 01/10/2023] [Indexed: 01/17/2023] Open
Abstract
In this study, Listeria isolates (214) were characterized as follows: L. innocua (77.10%), L. monocytogenes (11.21%), L. welshimeri (5.61%), L. grayi (1.40%), L. seeligeri (0.93%), and L. species (3.73%) that were not identified at the species level, from beef and beef based products from retail and farms in Mpumalanga and North West provinces of South Africa. MLVA was further used to type Listeria innocua isolates (165) and Listeria monocytogenes isolates (24). The L. monocytogenes isolates were also serogrouped using PCR. The MLVA protocol for L. monocytogenes typing included six tandem repeat primer sets, and the MLVA protocol for L. innocua included the use of three tandem repeats primer sets. The L. monocytogenes serogroups were determined as follows: 4b-4d-4e (IVb) (37.50%), 1/2a-3a (IIa) (29.16%), 1/2b-3b (IIb) (12.50%), 1/2c-3c (IIc) (8.33%), and IVb-1 (4.16%). MLVA could cluster isolates belonging to each specie, L. monocytogenes, and L. innocua isolates, into MLVA-related strains. There were 34 and 10 MLVA types obtained from the MLVA typing of L. innocua and L. monocytogenes, respectively. MLVA clustered the L. monocytogenes isolates irrespective of sample category, serogroups, and geographical origin. Similarly, the L. innocua isolates clustered irrespective of meat category and geographical origin. MLVA was able to cluster isolates based on MLVA relatedness. The clustering of isolates from farms and retailers indicates transmission of Listeria spp. MLVA is an affordable, simple, and discriminatory method that can be used routinely to type L. monocytogenes and L. innocua isolates.
Collapse
|
5
|
Costa LVD, Miranda RVDSLD, Reis CMFD, Andrade JMD, Cruz FV, Frazão AM, Fonseca ELD, Ramos JN, Brandão MLL, Vieira VV. MALDI-TOF MS database expansion for identification of Bacillus and related genera isolated from a pharmaceutical facility. J Microbiol Methods 2022; 203:106625. [PMID: 36403787 DOI: 10.1016/j.mimet.2022.106625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/14/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022]
Abstract
Bacillus and related genera are among the main bacterial groups isolated from pharmaceutical production areas. The identification of Bacillus species and related genera by classical methods is particularly difficult, due to similarities between closely related species. The Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) is one of the most promising techniques for chemotaxonomic characterization of microorganisms, being an alternative to genotypic methods. This study aimed to identify Bacillus strains and related genera isolated from immunobiological production areas by phylogenetic analysis of housekeeping genes and expand the database associated with MALDI-TOF MS to improve their identification. In a previous study, 97 aerobic endospore-forming bacteria isolated from a pharmaceutical facility were analyzed by MALDI-TOF MS and 16S rRNA gene full-length sequencing. All strains were identified as Bacillus and related genera by the latest methodology. Among the 97 strains, 22 were unidentified and 2 strains were misidentified by MALDI-TOF MS. In the present study, these 24 strains were subjected to 16S rRNA gene phylogenetic analysis. Strains not identified at species level by this methodology were submitted to rpoB gene phylogenetic analysis. After identifying the strains, 19 of the 24 strains were incubated for 24, 48, and 72 h on Tryptic Soy Agar and Sheep Blood Agar and subjected to analysis by MALDI-TOF MS. A SuperSpectrum for each strain was created and entered into the equipment database. Finally, the 24 strains were again submitted to proteomic analysis by MALDI-TOF MS, and, at this time, all were correctly identified. The genotypic identification of in-house isolated strains and the introduction of these spectra in MALDI-TOF MS, in order to obtain a customized database, proved to be an extremely effective tool in the identification of Bacillus and related genera from pharmaceutical industry origin.
Collapse
Affiliation(s)
- Luciana Veloso da Costa
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos (Bio-Manguinhos), Microbiological Control Laboratory, Brazil.
| | | | | | - Joyce Modesto de Andrade
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos (Bio-Manguinhos), Microbiological Control Laboratory, Brazil
| | - Fernanda Ventura Cruz
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos (Bio-Manguinhos), Microbiological Control Laboratory, Brazil
| | - Adriana Marques Frazão
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos (Bio-Manguinhos), Microbiological Control Laboratory, Brazil
| | - Erica Louro da Fonseca
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos (Bio-Manguinhos), Microbiological Control Laboratory, Brazil
| | - Juliana Nunes Ramos
- Fundação Oswaldo Cruz, Instituto Oswaldo Cruz (IOC), Interdisciplinary Medical Research Laboratory, Brazil
| | - Marcelo Luiz Lima Brandão
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos (Bio-Manguinhos), Microbiological Control Laboratory, Brazil
| | - Verônica Viana Vieira
- Fundação Oswaldo Cruz, Instituto Oswaldo Cruz (IOC), Interdisciplinary Medical Research Laboratory, Brazil
| |
Collapse
|
6
|
Osek J, Lachtara B, Wieczorek K. Listeria monocytogenes in foods-From culture identification to whole-genome characteristics. Food Sci Nutr 2022; 10:2825-2854. [PMID: 36171778 PMCID: PMC9469866 DOI: 10.1002/fsn3.2910] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/06/2022] [Accepted: 04/19/2022] [Indexed: 12/03/2022] Open
Abstract
Listeria monocytogenes is an important foodborne pathogen, which is able to persist in the food production environments. The presence of these bacteria in different niches makes them a potential threat for public health. In the present review, the current information on the classical and alternative methods used for isolation and identification of L. monocytogenes in food have been described. Although these techniques are usually simple, standardized, inexpensive, and are routinely used in many food testing laboratories, several alternative molecular-based approaches for the bacteria detection in food and food production environments have been developed. They are characterized by the high sample throughput, a short time of analysis, and cost-effectiveness. However, these methods are important for the routine testing toward the presence and number of L. monocytogenes, but are not suitable for characteristics and typing of the bacterial isolates, which are crucial in the study of listeriosis infections. For these purposes, novel approaches, with a high discriminatory power to genetically distinguish the strains during epidemiological studies, have been developed, e.g., whole-genome sequence-based techniques such as NGS which provide an opportunity to perform comparison between strains of the same species. In the present review, we have shown a short description of the principles of microbiological, alternative, and modern methods of detection of L. monocytogenes in foods and characterization of the isolates for epidemiological purposes. According to our knowledge, similar comprehensive papers on such subject have not been recently published, and we hope that the current review may be interesting for research communities.
Collapse
Affiliation(s)
- Jacek Osek
- Department of Hygiene of Food of Animal OriginNational Veterinary Research InstitutePuławyPoland
| | - Beata Lachtara
- Department of Hygiene of Food of Animal OriginNational Veterinary Research InstitutePuławyPoland
| | - Kinga Wieczorek
- Department of Hygiene of Food of Animal OriginNational Veterinary Research InstitutePuławyPoland
| |
Collapse
|