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Nordmann P, Helsens N, Kieffer N, Tinguely C, Greub G, Poirel L. Rapid detection of β-lactamase activity using the rapid Amp NP test. Microbiol Spectr 2025; 13:e0078224. [PMID: 40047444 PMCID: PMC11960058 DOI: 10.1128/spectrum.00782-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 01/10/2025] [Indexed: 04/03/2025] Open
Abstract
Urinary tract infections (UTIs) are the most common bacterial infections in humans. They are mainly caused by Escherichia coli and other Enterobacterales for which increasing resistance to antibiotics and in particular to β-lactams is extensively reported. The detection of β-lactam resistance phenotypes is currently time-consuming (18 h). Hence, most treatments are given without any results of antibiotic susceptibility testing and may involve broad-spectrum antibiotics. A biochemical diagnostic test has been developed to rapidly evaluate the production of β-lactamases (and consequently the β-lactam resistance) from cultures (104 and 105 CFU/mL) of Gram-positive and Gram-negative isolates representative of bacterial species as a source of UTIs (n = 112). It relies on a centrifugation step after a 90 min preliminary culture and the detection of β-lactamase activity with nitrocefin as substrate using a special filter. Overall, the test gave a positive result for 87.6% of the tested resistant strains with a bacterial load of 105 CFU/mL, and a positive result for 100% of tested extended-spectrum β-lactamases and for carbapenemase producers at the same load. This cost-effective test can be performed in any laboratory and ultimately shall be tested at the patient side and at the general practitioner. Its turn-around-time to get results is less than 2 h. After further improvements, the results obtained with this proof-of-concept test suggest that its use may contribute to rapidly guide the treatment of non-complicated UTIs and, therefore, limit the use of broad-spectrum antibiotics and the emergence of antibiotic resistance. IMPORTANCE This work reports on a totally novel diagnostic technique, the Rapid Amp NP test for the identification of amoxicillin/ampicillin resistance in bacteria that are sources of non-complicated urinary tract infections. Those preliminary results obtained with cultured bacteria are promising. We believe its future use may contribute to reconsider aminopenicillins as a first line therapy for treating UTI infections. The corresponding patent of this test obtained both for the United States and Europe may contribute to its further industrialization.
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Affiliation(s)
- Patrice Nordmann
- European Institute for Emerging Antibiotic Resistance, University of Fribourg, Fribourg, Switzerland
- Medical and Molecular Microbiology, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
- Swiss National Reference Center for Emerging Antibiotic Resistance (NARA), University of Fribourg, Fribourg, Switzerland
- Institute for Microbiology, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nicolas Helsens
- European Institute for Emerging Antibiotic Resistance, University of Fribourg, Fribourg, Switzerland
- Clinical Microbiology Unit, Pasteur Institute of Lille, Lille, France
| | - Nicolas Kieffer
- Medical and Molecular Microbiology, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - Camille Tinguely
- Medical and Molecular Microbiology, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - Gilbert Greub
- Institute for Microbiology, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Laurent Poirel
- European Institute for Emerging Antibiotic Resistance, University of Fribourg, Fribourg, Switzerland
- Medical and Molecular Microbiology, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
- Swiss National Reference Center for Emerging Antibiotic Resistance (NARA), University of Fribourg, Fribourg, Switzerland
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Koyama S, Watanabe N, Naruse H, Mitsutake K, Ebihara Y. Utility of direct microorganism species identification and antimicrobial susceptibility tests in urine samples. J Infect Chemother 2025; 31:102590. [PMID: 39694325 DOI: 10.1016/j.jiac.2024.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 11/07/2024] [Accepted: 12/13/2024] [Indexed: 12/20/2024]
Abstract
INTRODUCTION Urinary tract infections (UTIs) are one of the most common bacterial infections and a major cause of sepsis. It is important to promptly diagnose and treat UTIs. METHOD We found that a Gram-staining score of ≥2+ could be substituted for a colony-forming unit value of ≥10,000/mL. Using this criterion, we evaluated the performance of direct species identification (ID) and antimicrobial susceptibility testing (AST) using 233 isolates from urine. RESULTS Of the 212 monomicrobial isolates, 159 (75.0 %) showed spectral scores of ≥1.7 using the direct ID. Of these, 135 isolates (135/159: 84.9 %) were correctly identified at the species level (spectral score ≥2.0) and 153 isolates (153/159: 96.2 %) were correctly identified at the genus level (spectral score ≥1.7), indicating that direct ID may be reliable for urine samples when the spectral score is ≥ 1.7. GNR were identified with higher accuracy compared with GPC. The ID results of 21 polymicrobial samples were not fully consistent with the conventional method. Of the direct AST results obtained from 146 isolates, there was 97.7 % (1501/1537) categorical agreement (CA), 0.07 % (1/1537) very major errors, 0.7 % (11/1537) major errors, and 1.4 % (22/1537) minor errors, indicating high AST capability among the various isolates, including resistant strains. Twelve extended-spectrum beta-lactamase-producing bacteria were detected in 12 isolates, indicating high CA (99.2 %) with direct AST. CONCLUSIONS Direct ID and AST may be reliable for urine samples, but further improvements are required in order to realize accurate diagnosis and treatment, especially, for Gram-positive cocci and polymicrobial samples.
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Affiliation(s)
- Sachie Koyama
- Clinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan
| | - Noriyuki Watanabe
- Clinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan
| | - Haruki Naruse
- Clinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan
| | - Kotaro Mitsutake
- Department of Infectious Diseases and Infection Control, Saitama Medical University International Medical Center, Saitama, Japan
| | - Yasuhiro Ebihara
- Clinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan; Department of Laboratory Medicine, Saitama Medical University International Medical Center, Saitama, Japan.
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Nartey LK, Mikhael A, Pětrošová H, Yuen V, Kibsey P, Pekcan M, Ernst RK, Chen MX, Goodlett DR. A lipidomics-based method to eliminate negative urine culture in general population. J Clin Microbiol 2024; 62:e0081924. [PMID: 39283074 PMCID: PMC11481538 DOI: 10.1128/jcm.00819-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 08/21/2024] [Indexed: 10/17/2024] Open
Abstract
Urinary tract infections (UTIs) pose a significant challenge to human health. Accurate and timely detection remains pivotal for effective intervention. Current urine culture techniques, while essential, often encounter challenges where urinalysis yields positive results, but subsequent culture testing produces a negative result. This highlights potential discrepancies between the two methods and emphasizes the need for improved correlation in urinary tract infection (UTI) detection. Employing advanced lipidomics techniques, we deployed the fast lipid analysis technique (FLAT) on a clinical cohort suspected of having UTIs. Lipid fingerprinting by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), directly from urine samples without ex vivo growth, correctly identified the common uropathogens within a 1 hour timeframe when compared to urine culture. FLAT analysis also identified urine samples without culturable pathogens (negative UTIs) with 99% microbial identification (ID) agreement, whereas urinalysis showed 37% ID agreement with the gold standard urine culture. In 402 urine samples suspected for UTI from outpatients, FLAT assay rapidly ruled out negative urines without the need for culture in 77% of all cases. The potential impact of this innovative lipidomic-based approach extends beyond conventional diagnostic limitations, offering new avenues for early detection and targeted management of urinary tract infections. This research marks a paradigm shift in urine culture methodology, paving the way for improved clinical outcomes and public health interventions. IMPORTANCE This study employs a lipidomics-based method that promises to enhance the accuracy and reliability of urine culture diagnostics within 1 hour of sample collection. Our findings underscore the potential of lipidomics as a valuable tool in identifying and characterizing microbial populations present in urine samples and efficiently rule out negative urines, ultimately leading to improved patient care and management of urinary tract infections.
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Affiliation(s)
- Linda K. Nartey
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada
- Genome British Columbia proteomics center, University of Victoria, Victoria, British Columbia, Canada
| | - Abanoub Mikhael
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada
- Genome British Columbia proteomics center, University of Victoria, Victoria, British Columbia, Canada
| | - Helena Pětrošová
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada
- Genome British Columbia proteomics center, University of Victoria, Victoria, British Columbia, Canada
| | - Victor Yuen
- Vancouver Island Health Authority, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Pamela Kibsey
- Vancouver Island Health Authority, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Mert Pekcan
- Faculty of Veterinary Medicine, Ankara University, Ankara, Turkey
| | - Robert K. Ernst
- Department of Microbial Pathogenesis, University of Maryland, Baltimore, Maryland, USA
| | - Michael X. Chen
- Vancouver Island Health Authority, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
- Division of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada
| | - David R. Goodlett
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada
- Genome British Columbia proteomics center, University of Victoria, Victoria, British Columbia, Canada
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4
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Khilnani GC, Tiwari P, Mittal S, Kulkarni AP, Chaudhry D, Zirpe KG, Todi SK, Mohan A, Hegde A, Jagiasi BG, Krishna B, Rodrigues C, Govil D, Pal D, Divatia JV, Sengar M, Gupta M, Desai M, Rungta N, Prayag PS, Bhattacharya PK, Samavedam S, Dixit SB, Sharma S, Bandopadhyay S, Kola VR, Deswal V, Mehta Y, Singh YP, Myatra SN. Guidelines for Antibiotics Prescription in Critically Ill Patients. Indian J Crit Care Med 2024; 28:S104-S216. [PMID: 39234229 PMCID: PMC11369928 DOI: 10.5005/jp-journals-10071-24677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 03/20/2024] [Indexed: 09/06/2024] Open
Abstract
How to cite this article: Khilnani GC, Tiwari P, Mittal S, Kulkarni AP, Chaudhry D, Zirpe KG, et al. Guidelines for Antibiotics Prescription in Critically Ill Patients. Indian J Crit Care Med 2024;28(S2):S104-S216.
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Affiliation(s)
- Gopi C Khilnani
- Department of Pulmonary, Critical Care and Sleep Medicine, PSRI Hospital, New Delhi, India
| | - Pawan Tiwari
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Saurabh Mittal
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Atul P Kulkarni
- Division of Critical Care Medicine, Department of Anaesthesia, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Dhruva Chaudhry
- Department of Pulmonary and Critical Care Medicine, University of Health Sciences, Rohtak, Haryana, India
| | - Kapil G Zirpe
- Department of Neuro Trauma Unit, Grant Medical Foundation, Pune, Maharashtra, India
| | - Subhash K Todi
- Department of Critical Care, AMRI Hospital, Kolkata, West Bengal, India
| | - Anant Mohan
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Ashit Hegde
- Department of Medicine & Critical Care, P D Hinduja National Hospital, Mumbai, India
| | - Bharat G Jagiasi
- Department of Critical Care, Kokilaben Dhirubhai Ambani Hospital, Navi Mumbai, Maharashtra, India
| | - Bhuvana Krishna
- Department of Critical Care Medicine, St John's Medical College and Hospital, Bengaluru, India
| | - Camila Rodrigues
- Department of Microbiology, P D Hinduja National Hospital, Mumbai, India
| | - Deepak Govil
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Divya Pal
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Jigeeshu V Divatia
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Manju Sengar
- Department of Medical Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Mansi Gupta
- Department of Pulmonary Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Mukesh Desai
- Department of Immunology, Pediatric Hematology and Oncology Bai Jerbai Wadia Hospital for Children, Mumbai, Maharashtra, India
| | - Narendra Rungta
- Department of Critical Care & Anaesthesiology, Rajasthan Hospital, Jaipur, India
| | - Parikshit S Prayag
- Department of Transplant Infectious Diseases, Deenanath Mangeshkar Hospital, Pune, Maharashtra, India
| | - Pradip K Bhattacharya
- Department of Critical Care Medicine, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Srinivas Samavedam
- Department of Critical Care, Ramdev Rao Hospital, Hyderabad, Telangana, India
| | - Subhal B Dixit
- Department of Critical Care, Sanjeevan and MJM Hospital, Pune, Maharashtra, India
| | - Sudivya Sharma
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Susruta Bandopadhyay
- Department of Critical Care, AMRI Hospitals Salt Lake, Kolkata, West Bengal, India
| | - Venkat R Kola
- Department of Critical Care Medicine, Yashoda Hospitals, Hyderabad, Telangana, India
| | - Vikas Deswal
- Consultant, Infectious Diseases, Medanta - The Medicity, Gurugram, Haryana, India
| | - Yatin Mehta
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Yogendra P Singh
- Department of Critical Care, Max Super Speciality Hospital, Patparganj, New Delhi, India
| | - Sheila N Myatra
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
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5
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Soo PC, Lee CC, Shie MF, Patil AA, Descanzo MJN, Chin YC, Chen HA, Horng YT, Lin CB, Lee JJ, Chiang CK, Peng WP. Enhancing the sequence coverage of nanodiamond-extracted early secretory proteins from the Mycobacterium tuberculosis complex. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:3464-3474. [PMID: 38804556 DOI: 10.1039/d4ay00314d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
The unambiguous identification of protein species requires high sequence coverage. In this study, we successfully improved the sequence coverage of early secretory 10 kDa cell filtrate protein (CFP-10) and 6 kDa early secretory antigenic target (ESAT-6) proteins from the Mycobacterium tuberculosis complex (MTC) in broth culture media with the use of the 4-chloro-α-cyanocinnamic acid (Cl-CCA) matrix. Conventional matrices, α-cyano-hydroxy-cinnamic acid (CHCA) and 2,5-dihydroxybenzoic acid (DHB), were also used for comparison. After nanodiamond (ND) extraction, the sequence coverage of the CFP-10 protein was 87% when CHCA and DHB matrices were used, and the ESAT-6 protein was not detected. On the other hand, the sequence coverage for ND-extracted CFP-10 and ESAT-6 could reach 94% and 100%, respectively, when the Cl-CCA matrix was used and with the removal of interference from bovine serum albumin (BSA) protein and α-crystallin (ACR) protein. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) was also adopted to analyze the protein mass spectra. A total of 6 prominent ion signals were observed, including ESAT-6 protein peaks at mass-to-charge ratios (m/z) of ∼7931, ∼7974, ∼9768, and ∼9813 and CFP-10 protein peaks at m/z of ∼10 100 and ∼10 660. The ESAT-6 ion signals were always detected concurrently with CFP-10 ion signals, but CFP-10 ion signals could be detected alone without the ESAT-6 ion signals. Furthermore, the newly found ESAT-6 peaks were also confirmed using a Mag-Beads-Protein G kit with an ESAT-6 antibody to capture the ESAT-6 protein, which was also consistent with the sequence coverage analysis.
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Affiliation(s)
- Po-Chi Soo
- Department of Laboratory Medicine and Biotechnology, Tzu Chi University, Hualien, Taiwan
| | - Ching-Chieh Lee
- Department of Physics, National Dong Hwa University, Shoufeng, Hualien, Taiwan.
| | - Meng-Fu Shie
- Department of Physics, National Dong Hwa University, Shoufeng, Hualien, Taiwan.
| | - Avinash A Patil
- Department of Physics, National Dong Hwa University, Shoufeng, Hualien, Taiwan.
| | | | - Ya-Ching Chin
- Department of Physics, National Dong Hwa University, Shoufeng, Hualien, Taiwan.
| | - Hsi-An Chen
- Department of Physics, National Dong Hwa University, Shoufeng, Hualien, Taiwan.
| | - Yu-Tze Horng
- Department of Laboratory Medicine and Biotechnology, Tzu Chi University, Hualien, Taiwan
| | - Chih-Bin Lin
- Department of Internal Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan
| | - Jen-Jyh Lee
- Department of Internal Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan
| | - Cheng-Kang Chiang
- Department of Chemistry, National Dong Hwa University, Shoufeng, Hualien, Taiwan
| | - Wen-Ping Peng
- Department of Physics, National Dong Hwa University, Shoufeng, Hualien, Taiwan.
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6
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Pinthanon A, Nithitarnwat C, Pintapin C, Siripanee C, Yindee J, Am-In N, Kesdangsakonwut S, Surachetpong S, Prapasarakul N. Rapid identification of canine uropathogens by matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry and the clinical factors that correlated bacterial species and antimicrobial resistance. Vet Res Commun 2023; 47:1457-1469. [PMID: 37036600 DOI: 10.1007/s11259-023-10096-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/04/2023] [Indexed: 04/11/2023]
Abstract
Using the matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS) method for bacterial diagnosis, rapid urine sample preparation can reduce time relapsing of diagnosis and improve discriminatory power in coinfection cases. We aimed to evaluate rapid urine preparation procedures before MALDI-TOF MS application using dog clinical urine samples in comparison with standard microbiological diagnostic methods by agreement analysis. We determined the frequency and distribution of bacteria and bacterial resistance and their correlations to clinical history. Three experimental procedures comprising direct centrifugation, 10% sodium dodecyl sulfate digestion, and ultrasonic preparation were performed for method validation and sensitivity. Sterile urine containing Escherichia coli and/or Staphylococcus aureus were used as simulated samples. By ultrasonic preparation, the microorganisms could be detected 1.46-1.51 × 105 CFU, which was considered the most suitable technique. This preparation was significantly consistent with the routine method based on data from Hospital Information Systems for 50 urine samples from canine cystitis. By standard protocol, Enterobacteriaceae and Staphylococcus pseudintermedius were found in most of the 155 urine samples with cystitis. Extended-spectrum beta-lactamase-producing Enterobacteriaceae was found in 25-30% of the samples. Imipenem resistance was found in 70% of Acinetobacter baumannii cases; almost all were resistant to second-generation fluoroquinolones and tetracyclines. The most efficient antibiotic for treating bacterial urinary tract infection was amoxicillin plus clavulanic acid. A. baumannii and Pseudomonas aeruginosa were susceptible to pradofloxacin. Prolonged urine catheterization was linked to lower urinary tract infections by Enterobacter spp., which also correlated with chronic kidney disease.
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Affiliation(s)
- Artitaya Pinthanon
- Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Chayanan Nithitarnwat
- Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Chadaporn Pintapin
- Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Chonradee Siripanee
- Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Jitrapa Yindee
- Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Nutthee Am-In
- Department of Veterinary Obstetrics, Gynaecology and Reproduction, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Sawang Kesdangsakonwut
- Department of Veterinary Pathology and Veterinary Diagnostic Laboratory, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Sirilak Surachetpong
- Department of Veterinary Medicine, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Nuvee Prapasarakul
- Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand.
- Center of Excellence in Diagnostic and Monitoring of Animal Pathogens, Chulalongkorn University, Bangkok, Thailand.
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Birhanu AG. Mass spectrometry-based proteomics as an emerging tool in clinical laboratories. Clin Proteomics 2023; 20:32. [PMID: 37633929 PMCID: PMC10464495 DOI: 10.1186/s12014-023-09424-x] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 08/03/2023] [Indexed: 08/28/2023] Open
Abstract
Mass spectrometry (MS)-based proteomics have been increasingly implemented in various disciplines of laboratory medicine to identify and quantify biomolecules in a variety of biological specimens. MS-based proteomics is continuously expanding and widely applied in biomarker discovery for early detection, prognosis and markers for treatment response prediction and monitoring. Furthermore, making these advanced tests more accessible and affordable will have the greatest healthcare benefit.This review article highlights the new paradigms MS-based clinical proteomics has created in microbiology laboratories, cancer research and diagnosis of metabolic disorders. The technique is preferred over conventional methods in disease detection and therapy monitoring for its combined advantages in multiplexing capacity, remarkable analytical specificity and sensitivity and low turnaround time.Despite the achievements in the development and adoption of a number of MS-based clinical proteomics practices, more are expected to undergo transition from bench to bedside in the near future. The review provides insights from early trials and recent progresses (mainly covering literature from the NCBI database) in the application of proteomics in clinical laboratories.
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8
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Sun Y, Liu Y, Li J, Tan Y, An T, Zhuo M, Pan Z, Ma M, Jia B, Zhang H, Wang Z, Yang R, Bi Y. Characterization of Lung and Oral Microbiomes in Lung Cancer Patients Using Culturomics and 16S rRNA Gene Sequencing. Microbiol Spectr 2023; 11:e0031423. [PMID: 37092999 PMCID: PMC10269771 DOI: 10.1128/spectrum.00314-23] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/03/2023] [Indexed: 04/25/2023] Open
Abstract
Recently, microbiota dysbiosis in lung cancer has attracted immense attention. Studies on lung microbes are mostly based on sequencing, which has left the potentially functional bacteria with extremely low abundance uncovered. In this study, we characterized and compared the lung and oral cavity microbiotas using culturomics and 16S rRNA gene sequencing. Of the 198 bacteria identified at the species level from bronchoalveolar lavage fluid (BALF) samples, Firmicutes was predominant (39.90%). Twenty bacterial species isolated from BALF samples were present in at least half of the patients and were also highly abundant in oral samples. Of all isolated strains, Streptococcus and Veillonella were highly dominant. The abundance of Prevotella and Veillonella decreased from the oral cavity to the lung, whereas that of Pseudomonas increased. Linear discriminant analysis effect size demonstrated that Prevotella was more abundant in the healthy samples than in the cancerous ones, which is in accordance with the isolation of Prevotella oralis only from the healthy group using culturomics. Moreover, Gemella sanguinis and Streptococcus intermedius were isolated only from the non-small-cell lung cancer (NSCLC) group, and 16S rRNA gene sequencing showed that they were higher in the NSCLC than in the small-cell lung cancer group. Furthermore, while Bacillus and Castellaniella were enriched in lung adenocarcinoma, Brucella was enriched in lung squamous cell carcinoma. Overall, alterations were observed in the microbial community of patients with lung cancer, whose diversity might be site and pathology dependent. Using culturomics and 16S rRNA gene amplicon sequencing, this study has provided insights into pulmonary and oral microbiota alterations in patients with lung cancer. IMPORTANCE The relationship between lung microbiota and cancer has been explored based on DNA sequencing; however, culture-dependent approaches are indispensable for further studies on the lung microbiota. In this study, we applied a comprehensive approach combining culturomics and 16S rRNA gene amplicon sequencing to detect members of the microbiotas in saliva and BALF samples from patients with unilateral lobar masses. We found alterations in the microbial community of patients with lung cancer, whose diversity might be site and pathology dependent. These features may be potential bacterial biomarkers and new targets for lung cancer diagnosis and treatment. In addition, a lung and oral microbial biobank from lung cancer patients was established, which represents a useful resource for studies of host-microbe interactions.
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Affiliation(s)
- Yifan Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yuejiao Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jianjie Li
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Yafang Tan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Tongtong An
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Minglei Zhuo
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Zhiyuan Pan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Menglei Ma
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Bo Jia
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Hongwei Zhang
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Ziping Wang
- Department of Thoracic Oncology, Peking University Cancer Hospital, Beijing, China
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yujing Bi
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
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9
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Kindinger LM, Linton H, James CP, Mallet C, Curtis C, Macrae B, David AL. Mixed Bacterial Growth in Prenatal Urine Cultures; An Investigation into Prevalence, Contributory Factors and the Impact of education-based Interventions. Matern Child Health J 2023:10.1007/s10995-023-03615-6. [PMID: 36913031 PMCID: PMC10359349 DOI: 10.1007/s10995-023-03615-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2023] [Indexed: 03/14/2023]
Abstract
PURPOSE Undiagnosed urinary tract infections (UTIs) in pregnancy are associated with adverse perinatal outcome. Urine microbiology cultures reported as 'mixed bacterial growth' (MBG) frequently present a diagnostic dilemma for healthcare providers. We investigated external factors contributing to elevated rates of (MBG) within a large tertiary maternity centre in London, UK, and assessed the efficacy of health service interventions to mitigate these. DESCRIPTION This prospective, observational study of asymptomatic pregnant women attending their first prenatal clinic appointment aimed to establish (i) the prevalence of MBG in routine prenatal urine microbiology cultures, (ii) the association between urine cultures and the duration to laboratory processing and (iii) ways in which MBG may be reduced in pregnancy. Specifically we assessed the impact of patient-clinician interaction and that of an education package on optimal urine sampling technique. ASSESSMENT Among 212 women observed over 6 weeks, the negative, positive and MBG urine culture rates were 66%, 10% and 2% respectively. Shorter duration from urine sample collection to laboratory arrival correlated with higher rates of negative cultures. Urine samples arriving in the laboratory within 3 hours of collection were most likely to be reported as culture negative (74%), and were least likely to be reported as MBG (21%) or culture positive (6%), compared to samples arriving > 6 hours (71%, 14% and 14% respectively; P < 0.001). A midwifery education package effectively reduced rates of MBG (37% pre-intervention vs 19% post-intervention, RR 0.70, 95% CI 0.55 to 0.89). Women who did not receive verbal instructions prior to providing their sample had 5-fold higher rates of MBG (P < 0.001). CONCLUSION As many as 24% of prenatal urine screening cultures are reported as MBG. Patient-midwife interaction before urine sample collection and rapid transfer of urine samples to the laboratory within 3 hours reduces the rate of MBG in prenatal urine cultures. Reinforcing this message through education may improve accuracy of test results.
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Affiliation(s)
- Lindsay M Kindinger
- Elizabeth Garrett Anderson, Institute for Women's Health, Faculty of Population Health Sciences, Medical School Building, University College London, 74 Huntley Street, London, WC1E 6AU, UK. .,Maternal Fetal Medicine Department, Obstetrics and Gynaecology, King Edward Memorial Hospital, Subiaco, Perth, WA, 6008, Australia.
| | - Hannah Linton
- Elizabeth Garrett Anderson, Institute for Women's Health, Faculty of Population Health Sciences, Medical School Building, University College London, 74 Huntley Street, London, WC1E 6AU, UK.,Children and Young People's General Services, University College London Hospital NHS Foundation Trust, 235 Euston Road, London, NW1 2BU, UK
| | - Catherine P James
- Elizabeth Garrett Anderson, Institute for Women's Health, Faculty of Population Health Sciences, Medical School Building, University College London, 74 Huntley Street, London, WC1E 6AU, UK
| | - Camille Mallet
- Women's Health Division, Elizabeth Garrett Anderson Wing, University College London Hospital NHS Foundation Trust, 25 Grafton Way, London, WC1E 6DB, UK
| | - Carmel Curtis
- Clinical Microbiology, 5th Floor Central, University College London Hospital NHS Foundation Trust, 250 Euston Road, London, NW1 2PG, UK
| | - Bruce Macrae
- Clinical Microbiology, 5th Floor Central, University College London Hospital NHS Foundation Trust, 250 Euston Road, London, NW1 2PG, UK
| | - Anna L David
- Elizabeth Garrett Anderson, Institute for Women's Health, Faculty of Population Health Sciences, Medical School Building, University College London, 74 Huntley Street, London, WC1E 6AU, UK.,Women's Health Division, Elizabeth Garrett Anderson Wing, University College London Hospital NHS Foundation Trust, 25 Grafton Way, London, WC1E 6DB, UK
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10
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Recent Studies on Advance Spectroscopic Techniques for the Identification of Microorganisms: A Review. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2022.104521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
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11
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Implementation of a New Protocol for Direct Identification from Urine in the Routine Microbiological Diagnosis. Antibiotics (Basel) 2022; 11:antibiotics11050582. [PMID: 35625226 PMCID: PMC9137483 DOI: 10.3390/antibiotics11050582] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/14/2022] [Accepted: 04/21/2022] [Indexed: 11/17/2022] Open
Abstract
Background: The direct identification of uropathogens from urine samples, in combination with the rapid detection of resistance, would allow early adjustment of empirical antimicrobial treatment. Methods: Two hundred and ninety-eight urine samples processed between 1 June and 31 December 2020, selected with flow cytometry, with direct identification by MALDI-TOF mass spectrometry, and rapid detection of extended-spectrum beta-lactamase (ESBL) and carbapenemases-producing strains by lateral flow were analyzed. Results: The positive predictive value of the direct identification of the 86 samples that met the flow cytometry criterion (>5000 bacteria/µL) was 96.4%. Reliable direct identification was obtained in 14 of the 27 (51.8%) urinary source bacteraemias. There was 100% agreement between the lateral flow and antibiogram in the detection of ESBL and carbapenemases. Conclusion: the protocol for the direct identification and rapid detection of ESBL and carbapenemases-producing strains from urine samples is a reliable and useful tool.
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12
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Cheng W, Shi H, Teng M, Yu M, Feng B, Ding C, Yu S, Yang F. Rapid identification of bacterial mixtures in urine using MALDI-TOF MS-based algorithm profiling coupled with magnetic enrichment. Analyst 2022; 147:443-449. [PMID: 34985055 DOI: 10.1039/d1an02098f] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Urinary tract infections (UTIs) are a severe public health problem caused by mono- or poly-bacteria. Culture-based methods are routinely used for the diagnosis of UTIs in clinical practice, but those are time consuming. Rapid and unambiguous identification of each pathogen in UTIs can have a significant impact on timely diagnoses and precise treatment. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is an alternative method for the identification of pathogens in clinical laboratories. However, a certain number of pure bacteria are required for MALDI-TOF MS analysis. Here, we explored a strategy combining magnetic enrichment and MALDI-TOF MS for the rapid identification of pathogenic bacterial mixtures in urine. Fragment crystallizable mannose-binding lectin-modified Fe3O4 (Fc-MBL@Fe3O4) was used for rapid enrichment and the individual-peak-based similarity model as the analytical tool. Within 30 min, a mixture of the four most prevalent UTI-causing bacteria, Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, and Pseudomonas aeruginosa, was successfully identified using this method. This rapid MALDI-TOF MS-based strategy has potential applications in the clinical identification of UTI pathogens.
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Affiliation(s)
- Wenmin Cheng
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China.
| | - Haimei Shi
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China.
| | - Mengjing Teng
- Kweichow Moutai Group, Renhuai, Guizhou, 564501, China
| | - Menghuan Yu
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China.
| | - Bin Feng
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China.
| | - Chuanfan Ding
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China.
| | - Shaoning Yu
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China.
| | - Fan Yang
- Kweichow Moutai Group, Renhuai, Guizhou, 564501, China
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13
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Legaria MC, Nastro M, Camporro J, Heger F, Barberis C, Stecher D, Rodriguez CH, Vay CA. Peptostreptococcus anaerobius: Pathogenicity, identification, and antimicrobial susceptibility. Review of monobacterial infections and addition of a case of urinary tract infection directly identified from a urine sample by MALDI-TOF MS. Anaerobe 2021; 72:102461. [PMID: 34626800 DOI: 10.1016/j.anaerobe.2021.102461] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 09/20/2021] [Accepted: 09/24/2021] [Indexed: 12/17/2022]
Abstract
Peptostreptococcus anaerobius is a gram-positive anaerobic coccus (GPAC) found in the gastrointestinal and vaginal microbiota. The organism is mainly found in polymicrobial and scarcely in monobacterial infections such as prosthetic and native endocarditis. Anaerobic bacteria have rarely been reported as the cause of urinary tract infection (UTI). Although GPAC are susceptible to most antimicrobials used against anaerobic infections, P. anaerobius has shown to be more resistant. Herein, we report a case of UTI caused by P. anaerobius from a 62-year-old man with a history of urological disease. Surprisingly, the microorganism was directly identified by Matrix-Assisted Laser Desorption-Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) from the urine sample. The isolate was successfully identified by phenotypic methods, MALDI-TOF MS, and 16S rRNA gene sequencing. P. anaerobius showed no β-lactamase-producing activity, was resistant to penicillin, ampicillin, ciprofloxacin and levofloxacin, and displayed intermediate susceptibility to ampicillin-sulbactam and amoxicillin-clavulanic acid. Successful treatment was achieved with oral amoxicillin-clavulanic acid. Antimicrobial susceptibility testing (AST) should be performed on P. anaerobius isolates due to their unpredictable AST patterns and because empirically administered antimicrobial agents may not be active. This report shows that MALDI-TOF MS, directly used in urine specimens, may be a quick option to diagnose UTI caused by P. anaerobius or other anaerobic bacteria. This review is a compilation of monobacterial infections caused by P. anaerobius published in the literature, their pathogenicity, identification, and data about the antimicrobial susceptibility of P. anaerobius.
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Affiliation(s)
- M C Legaria
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, Buenos Aires, Argentina.
| | - M Nastro
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, Buenos Aires, Argentina; Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, INFIBIOC, Buenos Aires, Argentina
| | - J Camporro
- Universidad de Buenos Aires. Facultad de Medicina, Hospital de Clínicas José de San Martín, Servicio de Infectología, Buenos Aires, Argentina
| | - F Heger
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, Buenos Aires, Argentina
| | - C Barberis
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, Buenos Aires, Argentina; Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, INFIBIOC, Buenos Aires, Argentina
| | - D Stecher
- Universidad de Buenos Aires. Facultad de Medicina, Hospital de Clínicas José de San Martín, Servicio de Infectología, Buenos Aires, Argentina
| | - C H Rodriguez
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, Buenos Aires, Argentina; Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, INFIBIOC, Buenos Aires, Argentina
| | - C A Vay
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, Buenos Aires, Argentina; Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Hospital de Clínicas José de San Martín, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Laboratorio de Bacteriología, INFIBIOC, Buenos Aires, Argentina
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14
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Sun B, Wang W, Ma P, Gu B. Accuracy of matrix-assisted laser desorption ionization time-of-flight mass spectrometry for direct bacterial identification from culture-positive urine samples. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:647. [PMID: 33987345 PMCID: PMC8106043 DOI: 10.21037/atm-20-7310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Urinary tract infection (UTI) is one of the most frequent reasons for antimicrobial therapy. In typical clinical setting, 18–48 h is needed to identify pathogens by urine culture. A rapid method for pathogenic UTI diagnosis by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been developed in recent years. Methods This meta-analysis systematically evaluated the accuracy of MALDI-TOF MS for direct identification of bacteria from culture-positive urine samples. We queried the electronic database of Medline and Web of Science to obtain relevant articles. Results Nineteen articles involving 4,579 isolates were included after final selection in the meta-analysis. The random-effects pooled identification accuracy of MALDI-TOF MS was 0.82 with 95% confidence interval of 0.79 to 0.86 at the species level. For Gram-negative isolates, the correct identification performance of the species ranged from 0.54 to 0.98, with a cumulative rate of 0.87 (95% CI: 0.83 to 0.91). For Gram-positive isolates, the correct identification rate ranged from 0.32 to 0.80, with a cumulative rate of 0.59 (95% CI: 0.49 to 0.68). Conclusions MALDI-TOF MS provides a reliable direct identification of bacteria, particularly in cases of Gram-negative isolates, from clinical urine specimens. Nevertheless, the identification accuracy of this method is moderate for Gram-positive bacteria.
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Affiliation(s)
- Bin Sun
- Department of Laboratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Wei Wang
- Medical Technology School of Xuzhou Medical University, Xuzhou, China
| | - Ping Ma
- Department of Laboratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Medical Technology School of Xuzhou Medical University, Xuzhou, China
| | - Bing Gu
- Department of Laboratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Medical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou, China
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15
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Riedel S, Halls J, Dutta S, Toraskar N, Lemon J, Carter K, Sinclair W, Lopansri BK, Styer AM, Wolk DM, Walker GT. Clinical evaluation of the acuitas® AMR gene panel for rapid detection of bacteria and genotypic antibiotic resistance determinants. Diagn Microbiol Infect Dis 2021; 100:115383. [PMID: 33894657 DOI: 10.1016/j.diagmicrobio.2021.115383] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/13/2021] [Accepted: 03/19/2021] [Indexed: 10/21/2022]
Abstract
Urinary tract infections are leading causes of hospital admissions. Accurate and timely diagnosis is important due to increasing morbidity and mortality from antimicrobial resistance. We evaluated a polymerase chain reaction test (Acuitas AMR Gene Panel with the Acuitas Lighthouse Software) for detection of 5 common uropathogens (Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, Enterococcus faecalis) and antibiotic resistance genes directly from urine for prediction of phenotypic resistance. Overall percent agreement was 97% for semiquantitative detection of uropathogens versus urine culture using a cut-off of 104 colony forming units per mL urine. Overall accuracy was 91% to 93% for genotypic prediction of common antibiotic resistance harbored by E. coli, K. pneumoniae, and P. mirabilis.
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Affiliation(s)
- Stefan Riedel
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Justin Halls
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sanjucta Dutta
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | | | - Kendra Carter
- Intermountain Medical Center, Central Microbiology Laboratory, Murray, UT, USA
| | - Will Sinclair
- Intermountain Medical Center, Central Microbiology Laboratory, Murray, UT, USA
| | - Bert K Lopansri
- Intermountain Medical Center, Central Microbiology Laboratory, Murray, UT, USA; University of Utah, Department of Internal Medicine, Salt Lake City, UT, USA
| | - Amanda M Styer
- Geisinger Health System, Diagnostic Medical Institute, Danville, PA, USA
| | - Donna M Wolk
- Geisinger Health System, Diagnostic Medical Institute, Danville, PA, USA
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16
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Differentiation of Gastric Helicobacter Species Using MALDI-TOF Mass Spectrometry. Pathogens 2021; 10:pathogens10030366. [PMID: 33803832 PMCID: PMC8003121 DOI: 10.3390/pathogens10030366] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 03/15/2021] [Accepted: 03/16/2021] [Indexed: 02/07/2023] Open
Abstract
Gastric helicobacters (Helicobacter (H.) pylori and non-H. pylori Helicobacter species (NHPHs)) colonize the stomach of humans and/or animals. Helicobacter species identification is essential since many of them are recognized as human and/or animal pathogens. Currently, Helicobacter species can only be differentiated using molecular methods. Differentiation between NHPHs using MALDI-TOF MS has not been described before, probably because these species are poorly represented in current MALDI-TOF MS databases. Therefore, we identified 93 gastric Helicobacter isolates of 10 different Helicobacter species using MALDI-TOF MS in order to establish a more elaborate Helicobacter reference database. While the MALDI Biotyper database was not able to correctly identify any of the isolates, the in-house database correctly identified all individual mass spectra and resulted in 82% correct species identification based on the two highest log score matches (with log scores ≥2). In addition, a dendrogram was constructed using all newly created main spectrum profiles. Nine main clusters were formed, with some phylogenetically closely related Helicobacter species clustering closely together and well-defined subclusters being observed in specific species. Current results suggest that MALDI-TOF MS allows rapid differentiation between gastric Helicobacter species, provided that an extensive database is at hand and variation due to growth conditions and agar-medium-related peaks are taken into account.
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17
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Sogawa K, Takano S, Ishige T, Yoshitomi H, Kagawa S, Furukawa K, Takayashiki T, Kuboki S, Nomura F, Ohtsuka M. Usefulness of the MALDI-TOF MS technology with membrane filter protocol for the rapid identification of microorganisms in perioperative drainage fluids of hepatobiliary pancreatic surgery. PLoS One 2021; 16:e0246002. [PMID: 33539441 PMCID: PMC7861402 DOI: 10.1371/journal.pone.0246002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 01/12/2021] [Indexed: 12/04/2022] Open
Abstract
Surgical site infections (SSIs) are significant and frequent perioperative complications, occurring due to the contamination of the surgical site. The late detection of SSIs, especially organ/space SSIs which are the more difficult to treat, often leads to severe complications. An effective method that can identify bacteria with a high accuracy, leading to the early detection of organ/space SSIs, is needed. Ninety-eight drainage fluid samples obtained from 22 patients with hepatobiliary pancreatic disease were analyzed to identify microorganisms using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) with a new membrane filtration protocol and rapid BACpro® pretreatment compared to sole rapid BACpro® pretreatment. The levels of detail of rapid BACpro® pretreatment with or without filtration were also evaluated for the accuracy of bacterial identification. We found that reliable scores for E. coli and E. faecalis were obtained by inoculation with 1.0 × 104 CFU/ml after preparation of the membrane filter with rapid BACpro®, indicating approximately 10-folds more sensitive compared to sole rapid BACpro® pretreatment in drainage fluid specimens. Among 60 bacterial positive colonies in drainage fluid specimens, the MALDI-TOF MS and the membrane filtration with rapid BACpro® identified 53 isolates (88.3%) with a significantly higher accuracy, compared to 25 isolates in the rapid BACpro® pretreatment group (41.7%) (p < 0.001). Among the 78 strains, 14 enteric Gram-negative bacteria (93.0%) and 55 Gram-positive cocci (87.3%) were correctly identified by the membrane filtration with rapid BACpro® with a high reliability. This novel protocol could identify bacterial species within 30 min, at $2-$3 per sample, thus leading to cost and time savings. MALDI-TOF MS with membrane filter and rapid BACpro® is a quick and reliable method for bacterial identification in drainage fluids. The shortened analysis time will enable earlier selection of suitable antibiotics for treatment of organ/space SSIs to improve patients' outcomes.
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Affiliation(s)
- Kazuyuki Sogawa
- Department of Biochemistry, School of Life and Environmental Science, Azabu University, Kanagawa, Japan
| | - Shigetsugu Takano
- Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takayuki Ishige
- Division of Laboratory Medicine, Chiba University Hospital, Chiba, Japan
| | - Hideyuki Yoshitomi
- Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Shingo Kagawa
- Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Katsunori Furukawa
- Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Tsukasa Takayashiki
- Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Satoshi Kuboki
- Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Fumio Nomura
- Divisions of Clinical Mass Spectrometry and Clinical Genetics, Chiba University Hospital, Chiba, Japan
| | - Masayuki Ohtsuka
- Department of General Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
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18
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Oros D, Ceprnja M, Zucko J, Cindric M, Hozic A, Skrlin J, Barisic K, Melvan E, Uroic K, Kos B, Starcevic A. Identification of pathogens from native urine samples by MALDI-TOF/TOF tandem mass spectrometry. Clin Proteomics 2020; 17:25. [PMID: 32581661 PMCID: PMC7310424 DOI: 10.1186/s12014-020-09289-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 06/17/2020] [Indexed: 12/11/2022] Open
Abstract
Background Reliable high-throughput microbial pathogen identification in human urine samples is crucial for patients with cystitis symptoms. Currently employed methods are time-consuming and could lead to unnecessary or inadequate antibiotic treatment. Purpose of this study was to assess the potential of mass spectrometry for uropathogen identification from a native urine sample. Methods In total, 16 urine samples having more than 105 CFU/mL were collected from clinical outpatients. These samples were analysed using standard urine culture methods, followed by 16S rRNA gene sequencing serving as control and here described culture-independent MALDI-TOF/TOF MS method being tested. Results Here we present advantages and disadvantages of bottom-up proteomics, using MALDI-TOF/TOF tandem mass spectrometry, for culture-independent identification of uropathogens (e.g. directly from urine samples). The direct approach provided reliable identification of bacteria at the genus level in monobacterial samples. Taxonomic identifications obtained by proteomics were compared both to standard urine culture test used in clinics and genomic test based on 16S rRNA sequencing. Conclusions Our findings indicate that mass spectrometry has great potential as a reliable high-throughput tool for microbial pathogen identification in human urine samples. In this case, the MALDI-TOF/TOF, was used as an analytical tool for the determination of bacteria in urine samples, and the results obtained emphasize high importance of storage conditions and sample preparation method impacting reliability of MS2 data analysis. The proposed method is simple enough to be utilized in existing clinical settings and is highly suitable for suspected single organism infectious etiologies. Further research is required in order to identify pathogens in polymicrobial urine samples.
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Affiliation(s)
- Damir Oros
- Department of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia
| | - Marina Ceprnja
- Biochemical Laboratory, Special Hospital Agram, Polyclinic Zagreb, 10000 Zagreb, Croatia
| | - Jurica Zucko
- Department of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia
| | - Mario Cindric
- Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia
| | - Amela Hozic
- Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia
| | - Jasenka Skrlin
- Department for Clinical Microbiology and Hospital Infection, University Hospital Dubrava, 10000 Zagreb, Croatia
| | - Karmela Barisic
- Faculty of Pharmacy and Biochemistry, Zagreb University, Zagreb, Croatia
| | - Ena Melvan
- Department of Biological Science, Faculty of Science, Macquarie University, Sydney, Australia
| | - Ksenija Uroic
- Department of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia
| | - Blazenka Kos
- Department of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia
| | - Antonio Starcevic
- Department of Biochemical Engineering, Faculty of Food Technology and Biotechnology, Zagreb University, 10000 Zagreb, Croatia
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19
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Tang M, Yang J, Li Y, Zhang L, Peng Y, Chen W, Liu J. Diagnostic Accuracy of MALDI-TOF Mass Spectrometry for the Direct Identification of Clinical Pathogens from Urine. Open Med (Wars) 2020; 15:266-273. [PMID: 32292823 PMCID: PMC7147288 DOI: 10.1515/med-2020-0038] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 12/28/2019] [Indexed: 12/20/2022] Open
Abstract
Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) has become one of the most popular methods for the rapid and cost-effective detection of clinical pathogenic microorganisms. This study aimed to evaluate and compare the diagnostic performance of MALDI-TOF MS with that of conventional approaches for the direct identification of pathogens from urine samples. A systematic review was conducted based on a literature search of relevant databases. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and area under the summary receiver operating characteristic (SROC) curve of the combined studies were estimated. Nine studies with a total of 3920 subjects were considered eligible and included in the meta-analysis. The pooled sensitivity was 0.85 (95% CI 0.79-0.90), and the pooled specificity was 0.93 (95% CI 0.82-0.97). The PLR and NLR were 11.51 (95% CI 4.53-29.26) and 0.16 (95% CI 0.11-0.24), respectively. The area under the SROC curve was 0.93 (95% CI 0.91-0.95). Sensitivity analysis showed that the results of this meta-analysis were stable. MALDI-TOF MS could directly identify microorganisms from urine samples with high sensitivity and specificity.
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Affiliation(s)
- Min Tang
- Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou City, Sichuan Province, China
| | - Jia Yang
- Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou City, Sichuan Province, China
| | - Ying Li
- Department of Pathogenic Biology, College of Preclinical Medicine, Southwest Medical University, Luzhou city, Sichuan Province, China
| | - Luhua Zhang
- Department of Pathogenic Biology, College of Preclinical Medicine, Southwest Medical University, Luzhou city, Sichuan Province, China
| | - Ying Peng
- Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou City, Sichuan Province, China
| | - Wenbi Chen
- Department of Pathogenic Biology, College of Preclinical Medicine, Southwest Medical University, Luzhou city, Sichuan Province, China
| | - Jinbo Liu
- Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou City, Sichuan Province, China
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20
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Rapid identification of respiratory bacterial pathogens from bronchoalveolar lavage fluid in cattle by MALDI-TOF MS. Sci Rep 2019; 9:18381. [PMID: 31804604 PMCID: PMC6895124 DOI: 10.1038/s41598-019-54599-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 11/18/2019] [Indexed: 02/07/2023] Open
Abstract
Respiratory tract infections are a major health problem and indication for antimicrobial use in cattle and in humans. Currently, most antimicrobial treatments are initiated without microbiological results, holding the risk of inappropriate first intention treatment. The main reason for this empirical treatment is the long turnaround time between sampling and availability of identification and susceptibility results. Therefore the objective of the present study was to develop a rapid identification procedure for pathogenic respiratory bacteria in bronchoalveolar lavage fluid (BALf) samples from cattle by MALDI-TOF MS, omitting the cultivation step on agar plates to reduce the turnaround time between sampling and identification of pathogens. The effects of two different liquid growth media and various concentrations of bacitracin were determined to allow optimal growth of Pasteurellaceae and minimise contamination. The best procedure was validated on 100 clinical BALf samples from cattle with conventional bacterial culture as reference test. A correct identification was obtained in 73% of the samples, with 59.1% sensitivity (Se) (47.2–71.0%) and 100% specificity (Sp) (100–100%) after only 6 hours of incubation. For pure and dominant culture samples, the procedure was able to correctly identify 79.2% of the pathogens, with a sensitivity (Se) of 60.5% (45.0–76.1%) and specificity (Sp) of 100% (100–100%). In mixed culture samples, containing ≥2 clinically relevant pathogens, one pathogen could be correctly identified in 57% of the samples with 57.1% Se (38.8–75.5%) and 100% Sp (100–100%). In conclusion, MALDI-TOF MS is a promising tool for rapid pathogen identification in BALf. This new technique drastically reduces turnaround time and may be a valuable decision support tool to rationalize antimicrobial use.
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21
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Bryson AL, Hill EM, Doern CD. Matrix-Assisted Laser Desorption/Ionization Time-of-Flight: The Revolution in Progress. Clin Lab Med 2019; 39:391-404. [PMID: 31383264 DOI: 10.1016/j.cll.2019.05.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
This article summarizes recent advances in the application of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to new areas of infectious diseases diagnostics. We discuss progress toward routine identification of mycobacteria and filamentous fungi and direct identification of pathogens from clinical specimens. Of greatest interest is the use of MALDI-TOF MS for identifying organisms from positive blood cultures and from clinical specimens such as urine. Last, We highlight some exciting new possibilities for MALDI-TOF MS phenotypic susceptibility testing for bacteria and yeast.
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Affiliation(s)
- Alexandra L Bryson
- Department of Pathology, Virginia Commonwealth University Health System, 403 North 13th Street, Richmond, VA 23298, USA
| | - Emily M Hill
- Pathology & Laboratory Medicine, Hunter Holmes McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA 23224, USA
| | - Christopher D Doern
- Department of Pathology, Virginia Commonwealth University Health System, 403 North 13th Street, Richmond, VA 23298, USA.
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22
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Raidal SL. Antimicrobial stewardship in equine practice. Aust Vet J 2019; 97:238-242. [DOI: 10.1111/avj.12833] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 04/10/2019] [Indexed: 11/29/2022]
Affiliation(s)
- SL Raidal
- School of Animal and Veterinary SciencesCharles Sturt University Wagga Wagga New South Wales 2650 Australia
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23
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Li W, Sun E, Wang Y, Pan H, Zhang Y, Li Y, Zhang X, Li C, Du L, Wang C. Rapid Identification and Antimicrobial Susceptibility Testing for Urinary Tract Pathogens by Direct Analysis of Urine Samples Using a MALDI-TOF MS-Based Combined Protocol. Front Microbiol 2019; 10:1182. [PMID: 31231323 PMCID: PMC6560049 DOI: 10.3389/fmicb.2019.01182] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Accepted: 05/09/2019] [Indexed: 01/12/2023] Open
Abstract
Usually, 18–48 h are needed for the identification of microbial pathogens causing urinary tract infections (UTIs) by urine culture. Moreover, antimicrobial susceptibility testing (AST) takes an additional 18–24 h. Rapid identification and AST of the pathogens allow fast and precise treatment. The objective of this study was to shorten the time of diagnosis of UTIs by combining pathogen screening through flow cytometry, microbial identification by matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS), and AST using the VITEK 2 system for the direct analysis of urine samples. We analyzed 1,638 urine samples from patients with suspected UTIs submitted to the microbiology laboratory for culture. Each urine sample had an approximate volume of 30 mL and was divided into three aliquots. Urine processing included differential centrifugation and two washes to enrich the bacterial fraction for direct MALDI-TOF MS and direct AST. From a total of 1,638 urine samples, 307 were found to be positive through UF-1000i screening. Among them, 265 had significant growth of a single-microorganism. Direct identification was obtained in 229 (86.42%) out of these 265 samples, and no pathogens were misidentified. Moreover, species-level identification was obtained in 163 (88.59%) out of the 184 samples with Gram-negative bacteria, and 27 (38.03%) out of the 71 samples with Gram-positive bacteria. VITEK 2 AST was performed for 117 samples with a single-microorganism. Enterobacteriaceae data showed an agreement rate of antimicrobial categories of 94.83% (1,229/1,296), with minor, major, and very major error rates of 4.17% (54/1,296), 0.92% (12/1,296), and 0.08% (1/1,296), respectively. For Enterococcus spp., the overall categorical agreement was 92.94% (158/170), with a minor error rate of 2.94% (5/170) and major error rate of 4.12% (7/170). The turnaround time of this combined protocol to diagnose UTIs was 1 h for pathogen identification and 6–24 h for AST; noteworthily, only 6–8 h are needed for AST of Enterobacteriaceae using the VITEK 2 system. Overall, our findings show that the combination of flow cytometry, MALDI-TOF MS, and VITEK 2 provided a direct, rapid, and reliable identification and AST method for assessing urine samples, especially for Gram-negative bacterial infections.
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Affiliation(s)
- Wei Li
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
| | - Enhua Sun
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
| | - Ying Wang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
| | - Hongwei Pan
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
| | - Yi Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
| | - Yong Li
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
| | - Xin Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
| | - Chen Li
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China
| | - Lutao Du
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China
| | - Chuanxin Wang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, China
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24
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Direct Identification of Pathogens in Urine by Use of a Specific Matrix-Assisted Laser Desorption Ionization-Time of Flight Spectrum Database. J Clin Microbiol 2019; 57:JCM.01678-18. [PMID: 30700506 DOI: 10.1128/jcm.01678-18] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 01/24/2019] [Indexed: 11/20/2022] Open
Abstract
Urinary tract infections are among the most common reasons for antimicrobial treatment, and early diagnosis could have a significant impact by enabling rapid administration of the adapted antibiotic and preventing complications. The current delay between sample receipt and pathogen identification is about 24 to 48 h, which could be significantly shortened by use of an accurate direct method. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is already used for the identification of pathogens in clinical laboratories and constitutes a promising tool for direct diagnosis. A simple preparation protocol was established for the processing of urine samples prior to MS analysis. MALDI-TOF spectra collected directly from 1,000 infected urine samples were used to create a specific reference database (named Urinf). A prospective study was then carried out to evaluate the Urinf database and compare the results obtained with the standard database provided by Bruker on the Biotyper Real Time Classification software. Seven hundred eighty urine specimens were processed and analyzed according to our method. Among them, almost 90% of 500 infected monobacterial samples could be correctly diagnosed with the Urinf database, compared to 50% using the standard database. The identification of Enterobacteriaceae, Staphylococcus aureus, Staphylococcus saprophyticus, Pseudomonas aeruginosa, Enterococcus faecalis, and Enterococcus faecium was greatly improved but not for Staphylococcus epidermidis The creation of a database adapted to a particular type of clinical sample has great potential to increase both the rate and rapidity of pathogen identification. Sensitivity still remains to be improved for bacterial species that exhibit few specific peaks on mass spectra.
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25
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Zboromyrska Y, Bosch J, Aramburu J, Cuadros J, García-Riestra C, Guzmán-Puche J, Liébana Martos C, Loza E, Muñoz-Algarra M, Ruiz de Alegría C, Sánchez-Hellín V, Vila J. A multicentre study investigating parameters which influence direct bacterial identification from urine. PLoS One 2018; 13:e0207822. [PMID: 30533050 PMCID: PMC6289437 DOI: 10.1371/journal.pone.0207822] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Accepted: 11/05/2018] [Indexed: 01/12/2023] Open
Abstract
Rapid diagnosis is one of the best ways to improve patient management and prognosis as well as to combat the development of bacterial resistance. The aim of this study was to study parameters that impact the achievement of reliable identification using a combination of flow cytometry and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-ToF-MS).The study was carried out in nine hospitals in Spain and included 1,050 urine samples with bacterial counts of 5x106 bacteria/ml. MALDI-ToF-MS-based identification was performed according to a previously described protocol. Valid identification by direct MALDI-ToF-MS was obtained in 72.8% of samples, in 80.3% of samples found to be positive by culture, 32.2% of contaminated samples, and 19.7% of negative samples. Among the positives samples with a valid identification the concordance at the species level was 97.2%. The parameters related to success of direct identification were: high bacterial count, the presence of Escherichia coli as a pathogen and rod-bacteria morphology provided by flow cytometry. The parameters related to failure were a high epithelial cell (EC) count, a high white blood cell (WBC) count and urine samples obtained from in-patients. In summary, this multicentre study confirms previously published data on the usefulness and accuracy of direct MALDI-ToF-MS-based identification of bacteria from urine samples. It seems important to evaluate not only the bacterial count, but also other parameters, such as EC and WBC counts, bacterial species and morphology, and the health care setting, to decide whether the sample is suitable for direct identification.
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Affiliation(s)
- Yuliya Zboromyrska
- Consorci del Laboratori Intercomarcal, Vilafranca del Penedès, Spain
- * E-mail:
| | - Jordi Bosch
- Department of Clinical Microbiology, Hospital Clínic, School of Medicine, University of Barcelona, Barcelona, Spain
- ISGlobal, Instituto de Salud Global de Barcelona, Barcelona, Spain
| | - Jesus Aramburu
- Microbiology Unit, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - Juan Cuadros
- Microbiology Department, Hospital Príncipe de Asturias, Alcalá de Henares, Spain
| | - Carlos García-Riestra
- Microbiology Department, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Julia Guzmán-Puche
- Microbiology Unit, Hospital Reina Sofía, IMIBIC-Reina Sofía University Hospital-University of Córdoba, Córdoba, Spain
| | - Carmen Liébana Martos
- Infectious Diseases and Clinical Microbiology Unit, Complejo Hospitalario de Jaén, Jaén, Spain
| | - Elena Loza
- Department of Microbiology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - María Muñoz-Algarra
- Department of Clinical Microbiology, Hospital Universitario Puerta de Hierro, Majadahonda, Spain
| | | | | | - Jordi Vila
- Department of Clinical Microbiology, Hospital Clínic, School of Medicine, University of Barcelona, Barcelona, Spain
- ISGlobal, Instituto de Salud Global de Barcelona, Barcelona, Spain
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26
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Kitagawa K, Shigemura K, Onuma KI, Nishida M, Fujiwara M, Kobayashi S, Yamasaki M, Nakamura T, Yamamichi F, Shirakawa T, Tokimatsu I, Fujisawa M. Improved bacterial identification directly from urine samples with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. J Clin Lab Anal 2017; 32. [PMID: 28737838 DOI: 10.1002/jcla.22301] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 06/22/2017] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) contributes to rapid identification of pathogens in the clinic but has not yet performed especially well for Gram-positive cocci (GPC) causing complicated urinary tract infection (UTI). The goal of this study was to investigate the possible clinical use of MALDI-TOF MS as a rapid method for bacterial identification directly from urine in complicated UTI. METHODS MALDI-TOF MS was applied to urine samples gathered from 142 suspected complicated UTI patients in 2015-2017. We modified the standard procedure (Method 1) for sample preparation by adding an initial 10 minutes of ultrasonication followed by centrifugation at 500 g for 1 minutes to remove debris such as epithelial cells and leukocytes from the urine (Method 2). RESULTS In 133 urine culture-positive bacteria, the rate of corresponded with urine culture in GPC by MALDI-TOF MS in urine with standard sample preparation (Method 1) was 16.7%, but the modified sample preparation (Method 2) significantly improved that rate to 52.2% (P=.045). Method 2 also improved the identification accuracy for Gram-negative rods (GNR) from 77.1% to 94.2% (P=.022). The modified Method 2 significantly improved the average MALDI score from 1.408±0.153 to 2.166±0.045 (P=.000) for GPC and slightly improved the score from 2.107±0.061 to 2.164±0.037 for GNR. CONCLUSION The modified sample preparation for MALDI-TOF MS can improve identification accuracy for complicated UTI causative bacteria. This simple modification offers a rapid and accurate routine diagnosis for UTI, and may possibly be a substitute for urine cultures.
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Affiliation(s)
- Koichi Kitagawa
- Division of Translational Research for Biologics, Department of Internal Medicine Related, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Katsumi Shigemura
- Department of Urology, Kobe University Graduate School of Medicine, Kobe, Japan.,Division of Infectious Diseases, Department of International Health, Kobe University Graduate School of Health Sciences, Kobe, Japan.,Infection Control and Prevention, Kobe University Hospital, Kobe, Japan
| | - Ken-Ichiro Onuma
- Department of Clinical Laboratory, Kobe University Hospital, Kobe, Japan
| | - Masako Nishida
- Department of Clinical Laboratory, Kobe University Hospital, Kobe, Japan
| | - Mayu Fujiwara
- Department of Clinical Laboratory, Kobe University Hospital, Kobe, Japan
| | - Saori Kobayashi
- Department of Clinical Laboratory, Kobe University Hospital, Kobe, Japan
| | - Mika Yamasaki
- Department of Clinical Laboratory, Kobe University Hospital, Kobe, Japan
| | - Tatsuya Nakamura
- Infection Control and Prevention, Kobe University Hospital, Kobe, Japan.,Department of Clinical Laboratory, Kobe University Hospital, Kobe, Japan
| | | | - Toshiro Shirakawa
- Division of Translational Research for Biologics, Department of Internal Medicine Related, Kobe University Graduate School of Medicine, Kobe, Japan.,Department of Urology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Issei Tokimatsu
- Infection Control and Prevention, Kobe University Hospital, Kobe, Japan
| | - Masato Fujisawa
- Department of Urology, Kobe University Graduate School of Medicine, Kobe, Japan
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