1
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Singhal L, Gupta P, Gupta V. Diagnostic Stewardship in Clinical Microbiology: An Indispensable Component of Patient Care. Infect Disord Drug Targets 2025; 25:e030724231543. [PMID: 38963103 DOI: 10.2174/0118715265294425240607110713] [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: 11/22/2023] [Revised: 04/15/2024] [Accepted: 05/16/2024] [Indexed: 07/05/2024]
Abstract
Emerging infectious diseases and increasing resistance to available antimicrobials are mapping the evolution of clinical microbiology and escalating the nature of undertakings required. Rapid diagnosis has become the need of the hour, which can affect diagnostic algorithms and therapeutic decisions simultaneously. Subsequently, the concept of 'diagnostic stewardship' was introduced into clinical practice for coherent implementation of available diagnostic modalities to ensure that these new rapid diagnostic technologies are conserved, rather than consumed as part of health care resources, with a view to improve the patient care and reduce Turnaround Time (TAT) and treatment expense. The present study highlights the requisite of diagnostic stewardship and outlines the infectious disease diagnostic modalities that can assist in its successful implementation. Diagnostic stewardship promotes precise, timely diagnostics, from the initial specimen collection and identification to reporting with appropriate TAT, so as to enable timely management of the patient. The main aim of diagnostic stewardship is to optimize the right choice of diagnostic test for the right patient to attain clinically significant reports with the least possible TAT for timely management and the least expected adverse effects for the patient, community, and the healthcare system. This underlines the requisite of a multifaceted approach to make technological advancements effective and successful for implementation as a part of diagnostic stewardship for the best patient care.
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Affiliation(s)
- Lipika Singhal
- Department of Microbiology, Government Medical College and Hospital, Chandigarh-Sector 32, India
| | - Parakriti Gupta
- Department of Microbiology, Government Medical College and Hospital, Chandigarh-Sector 32, India
| | - Varsha Gupta
- Department of Microbiology, Government Medical College and Hospital, Chandigarh-Sector 32, India
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2
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Ren J, Gao W, Yu M, Liu C, Ding C, Li S, Yu S, Cao W. Detection of methicillin resistance of Staphylococcus aureus in vitreous humor using MALDI-TOF MS and Fc-MBL@Fe 3O 4 enrichment. Sci Rep 2024; 14:30757. [PMID: 39730502 DOI: 10.1038/s41598-024-80715-5] [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: 05/28/2024] [Accepted: 11/21/2024] [Indexed: 12/29/2024] Open
Abstract
Endophthalmitis is a serious infectious eye disease that causes permanent vision loss. This study developed a method for rapid identification and drug resistance analysis of pathogens in vitreous humor. After short-term rapid culture, 30 Staphylococcus aureus isolates were enriched and purified from the vitreous humor using Fc-MBL@Fe3O4, and then identified by MALDI-TOF MS. The bacterial solution was adjusted to 106 CFU/mL and mixed with CAMHB containing cefoxitin (4 µg/mL) at the same volume. After culture, it was enriched by Fc-MBL@Fe3O4 and identified by MALDI-TOF MS. MRSA was judged according to whether the bacteria could successfully be identified. The enrichment efficiency of Fc-MBL@Fe3O4 for S. aureus in CAMHB was 88.1%. The detection rate of S. aureus reached 100% after 8 h of vitreous humor culture. The best test performance was achieved with Fc-MBL@Fe3O4 enrichment after a 3 h incubation. At this time point, 96.7% validity, 100% sensitivity, and 100% specificity were achieved. Thus, the identification and drug resistance analysis of S. aureus (51-110 CFU) in vitreous humor was completed within 11 h. This study provides a new method for rapid clinical diagnosis of endophthalmitis and precise treatment with antibiotics.
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Affiliation(s)
- Jun Ren
- Clinical Laboratory, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China
| | - Wenjing Gao
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Menghuan Yu
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Chunhong Liu
- Clinical Laboratory, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China
| | - Chuanfan Ding
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Shengjie Li
- Clinical Laboratory, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China.
| | - Shaoning Yu
- Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 315211, Zhejiang, China.
| | - Wenjun Cao
- Clinical Laboratory, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China
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3
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Reszetnik G, Hammond K, Mahshid S, AbdElFatah T, Nguyen D, Corsini R, Caya C, Papenburg J, Cheng MP, Yansouni CP. Next-generation rapid phenotypic antimicrobial susceptibility testing. Nat Commun 2024; 15:9719. [PMID: 39521792 PMCID: PMC11550857 DOI: 10.1038/s41467-024-53930-x] [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: 03/22/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024] Open
Abstract
Slow progress towards implementation of conventional clinical bacteriology in low resource settings and strong interest in greater speed for antimicrobial susceptibility testing (AST) more generally has focused attention on next-generation rapid AST technologies. In this Review, we systematically synthesize publications and submissions to regulatory agencies describing technologies that provide phenotypic AST faster than conventional methods. We characterize over ninety technologies in terms of underlying technical innovations, technology readiness level, extent of clinical validation, and time-to-results. This work provides a guide for technology developers and clinical microbiologists to understand the rapid phenotypic AST technology landscape, current development pipeline, and AST-specific validation milestones.
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Affiliation(s)
- Grace Reszetnik
- Department of Bioengineering, Faculty of Engineering, McGill University, Montreal, Quebec, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Keely Hammond
- Divisions of Infectious Diseases and Medical Microbiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Sara Mahshid
- Department of Bioengineering, Faculty of Engineering, McGill University, Montreal, Quebec, Canada
| | - Tamer AbdElFatah
- Department of Bioengineering, Faculty of Engineering, McGill University, Montreal, Quebec, Canada
| | - Dao Nguyen
- McGill Antimicrobial Resistance Centre, McGill University, Montreal, Quebec, Canada
- Division of Respirology, McGill University Health Centre, Montreal, Quebec, Canada
- Research, Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Rachel Corsini
- Research, Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Chelsea Caya
- Research, Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Jesse Papenburg
- Research, Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- Divisions of Pediatric Infectious Diseases and Medical Microbiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Matthew P Cheng
- Divisions of Infectious Diseases and Medical Microbiology, McGill University Health Centre, Montreal, Quebec, Canada
- Research, Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Cedric P Yansouni
- Divisions of Infectious Diseases and Medical Microbiology, McGill University Health Centre, Montreal, Quebec, Canada.
- Research, Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
- J.D. MacLean Centre for Tropical and Geographic Medicine, McGill University, Montreal, Quebec, Canada.
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4
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Rensner JJ, Lueth P, Bellaire BH, Sahin O, Lee YJ. Rapid detection of antimicrobial resistance in methicillin-resistant Staphylococcus aureus using MALDI-TOF mass spectrometry. Front Cell Infect Microbiol 2023; 13:1281155. [PMID: 38076465 PMCID: PMC10702551 DOI: 10.3389/fcimb.2023.1281155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/23/2023] [Indexed: 12/18/2023] Open
Abstract
Antimicrobial resistance is a growing problem in modern healthcare. Most antimicrobial susceptibility tests (AST) require long culture times which delay diagnosis and effective treatment. Our group has previously reported a proof-of-concept demonstration of a rapid AST in Escherichia coli using deuterium labeling and MALDI mass spectrometry. Culturing bacteria in D2O containing media incorporates deuterium in newly synthesized lipids, resulting in a mass shift that can be easily detected by mass spectrometry. The extent of new growth is measured by the average mass of synthesized lipids that can be correlated with resistance in the presence of antimicrobials. In this work, we adapt this procedure to methicillin-resistant Staphylococcus aureus using the Bruker MALDI-TOF Biotyper, a low-cost instrument commonly available in diagnostic laboratories. The susceptible strain showed a significant decrease in average mass in on-target microdroplet cultures after 3 hours of incubation with 10 µg/mL methicillin, while the resistant strain showed consistent labeling regardless of methicillin concentration. This assay allows us to confidently detect methicillin resistance in S. aureus after only 3 hours of culture time and minimal sample processing, reducing the turn-around-time significantly over conventional assays. The success of this work suggests its potential as a rapid AST widely applicable in many clinical microbiology labs with minimal additional costs.
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Affiliation(s)
- Josiah J. Rensner
- Department of Chemistry, Iowa State University, Ames, IA, United States
| | - Paul Lueth
- Department of Veterinary Microbiology and Preventative Medicine, Iowa State University, Ames, IA, United States
| | - Bryan H. Bellaire
- Department of Veterinary Microbiology and Preventative Medicine, Iowa State University, Ames, IA, United States
| | - Orhan Sahin
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, United States
| | - Young Jin Lee
- Department of Chemistry, Iowa State University, Ames, IA, United States
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5
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Stromberg ZR, Phillips SMB, Omberg KM, Hess BM. High-throughput functional trait testing for bacterial pathogens. mSphere 2023; 8:e0031523. [PMID: 37702517 PMCID: PMC10597404 DOI: 10.1128/msphere.00315-23] [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] [Indexed: 09/14/2023] Open
Abstract
Functional traits are characteristics that affect the fitness and metabolic function of a microorganism. There is growing interest in using high-throughput methods to characterize bacterial pathogens based on functional virulence traits. Traditional methods that phenotype a single organism for a single virulence trait can be time consuming and labor intensive. Alternatively, machine learning of whole-genome sequences (WGS) has shown some success in predicting virulence. However, relying solely on WGS can miss functional traits, particularly for organisms lacking classical virulence factors. We propose that high-throughput assays for functional virulence trait identification should become a prominent method of characterizing bacterial pathogens on a population scale. This work is critical as we move from compiling lists of bacterial species associated with disease to pathogen-agnostic approaches capable of detecting novel microbes. We discuss six key areas of functional trait testing and how advancing high-throughput methods could provide a greater understanding of pathogens.
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Affiliation(s)
- Zachary R. Stromberg
- Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Shelby M. B. Phillips
- Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Kristin M. Omberg
- Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Becky M. Hess
- Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, Washington, USA
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6
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Biswas J, Appasami KP, Gautam H, Mohapatra S, Sood S, Dhawan B, Chaudhry R, Kapil A, Das BK. Tick-tock, beat the clock: comparative analysis of disc diffusion testing with 6-, 10-, and 24-h growth for accelerated antimicrobial susceptibility testing and antimicrobial stewardship. Eur J Clin Microbiol Infect Dis 2023:10.1007/s10096-023-04611-y. [PMID: 37171540 DOI: 10.1007/s10096-023-04611-y] [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: 12/19/2022] [Accepted: 04/24/2023] [Indexed: 05/13/2023]
Abstract
Disc diffusion testing by Kirby-Bauer technique is the most used method for determining antimicrobial susceptibility in microbiological laboratories. The current guidelines by The Clinical and Laboratory Standards Institute (CLSI) 2022 specify using an 18- to 24-h growth for testing by disc diffusion. We aim to determine if using an early growth (6 h and 10 h) would produce comparable results, thus ultimately leading to reduced turnaround time. Six-hour, 10-h, and 24-h growths of 20 quality control strains and 6-h and 24-h growths of 48 clinical samples were used to perform disc diffusion testing using a panel of appropriate antimicrobial agents. Disc diffusion zone sizes were interpreted for all and comparative analyses were performed to determine categorical agreement, minor errors (mE), major errors (ME), and very major errors (VME) according to CLSI guidelines. On comparing with the standard 24 h of incubation, disc diffusion from 6-h and 10-h growths of quality control strains showed 94.38% categorical agreement, 5.10% mE, 0.69% MEs, and no VMEs. Disc diffusion testing for the additional 40 clinical samples yielded a similarly high level of categorical agreement (98.15%) and mE, ME, and VME of 1.29%, 1.22%, and 0% respectively. Disc diffusion testing using early growth is a simple and accurate method for susceptibility testing that can reduce turnaround time and may prove to be critical for timely patient management.
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Affiliation(s)
- Jaya Biswas
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | - Kavi Priya Appasami
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | - Hitender Gautam
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
| | - Sarita Mohapatra
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | - Seema Sood
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | - Benu Dhawan
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | - Rama Chaudhry
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | - Arti Kapil
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | - Bimal Kumar Das
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
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7
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Kalpana S, Lin WY, Wang YC, Fu Y, Lakshmi A, Wang HY. Antibiotic Resistance Diagnosis in ESKAPE Pathogens-A Review on Proteomic Perspective. Diagnostics (Basel) 2023; 13:1014. [PMID: 36980322 PMCID: PMC10047325 DOI: 10.3390/diagnostics13061014] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/11/2023] Open
Abstract
Antibiotic resistance has emerged as an imminent pandemic. Rapid diagnostic assays distinguish bacterial infections from other diseases and aid antimicrobial stewardship, therapy optimization, and epidemiological surveillance. Traditional methods typically have longer turn-around times for definitive results. On the other hand, proteomic studies have progressed constantly and improved both in qualitative and quantitative analysis. With a wide range of data sets made available in the public domain, the ability to interpret the data has considerably reduced the error rates. This review gives an insight on state-of-the-art proteomic techniques in diagnosing antibiotic resistance in ESKAPE pathogens with a future outlook for evading the "imminent pandemic".
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Affiliation(s)
- Sriram Kalpana
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 333423, Taiwan
| | | | - Yu-Chiang Wang
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Yiwen Fu
- Department of Medicine, Kaiser Permanente Santa Clara Medical Center, Santa Clara, CA 95051, USA
| | - Amrutha Lakshmi
- Department of Biochemistry, University of Madras, Guindy Campus, Chennai 600025, India
| | - Hsin-Yao Wang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 333423, Taiwan
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8
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Chen C, Zhou Z, Cong L, Shan M, Zhu Z, Li Y. Rapid identification of methicillin-resistant Staphylococcus aureus by MALDI-TOF MS: A meta-analysis. Biotechnol Appl Biochem 2022. [PMID: 36575908 DOI: 10.1002/bab.2433] [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: 02/02/2022] [Accepted: 12/17/2022] [Indexed: 12/29/2022]
Abstract
Invasive infections caused by methicillin-resistant Staphylococcus aureus (MRSA) are associated with high mortality and morbidity. The sooner the pathogen is determined, the better it is beneficial to patient. However, routine laboratory inspections are time-consuming and laborious. A thorough research was conducted in PubMed and Web of Science (until June 2021) to identify studies evaluating the accuracy of MRSA identification by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). STATA 15.0 software was used to analyze the pooled results of sensitivity, specificity, and 95% confidence intervals (CI). The summary receiver operating characteristic curves (SROC) and area under the curve (AUC) were utilized to show the overall performance of MALDI-TOF MS. Fifteen studies involving 2471 isolates were included in this study after the final selection in this meta-analysis. Using the random effects model forest plot to summarize the overall statistics, the sensitivity of MALDI-TOF MS for identifying MRSA was 92% (95% CI: 81%-97%), and the specificity was 97% (95% CI: 89%-99%). In the SROC curve, the AUC reached 0.99 (95% CI: 97%-99%). Deeks' test showed no significant publication bias in this meta-analysis. Compared with clinical reference methods, MALDI-TOF MS identification of MRSA shows a higher degree of sensitivity and specificity.
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Affiliation(s)
- Chaoqun Chen
- School of Medical Technology, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Zheng Zhou
- Department of Clinical Laboratory, Shandong Provincial Public Health Clinical Center, Shandong University Affiliated Hospital, Jinan, Shandong, People's Republic of China
| | - Liu Cong
- School of Medical Technology, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Mingzhu Shan
- Department of Clinical Laboratory, The Central Hospital of Xuzhou City, Xuzhou, Jiangsu, People's Republic of China
| | - Zuobin Zhu
- Department of Genetics, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
| | - Ying Li
- School of Medical Technology, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China
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9
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“Omic” Approaches to Bacteria and Antibiotic Resistance Identification. Int J Mol Sci 2022; 23:ijms23179601. [PMID: 36077000 PMCID: PMC9455953 DOI: 10.3390/ijms23179601] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/19/2022] [Accepted: 08/21/2022] [Indexed: 11/28/2022] Open
Abstract
The quick and accurate identification of microorganisms and the study of resistance to antibiotics is crucial in the economic and industrial fields along with medicine. One of the fastest-growing identification methods is the spectrometric approach consisting in the matrix-assisted laser ionization/desorption using a time-of-flight analyzer (MALDI-TOF MS), which has many advantages over conventional methods for the determination of microorganisms presented. Thanks to the use of a multiomic approach in the MALDI-TOF MS analysis, it is possible to obtain a broad spectrum of data allowing the identification of microorganisms, understanding their interactions and the analysis of antibiotic resistance mechanisms. In addition, the literature data indicate the possibility of a significant reduction in the time of the sample preparation and analysis time, which will enable a faster initiation of the treatment of patients. However, it is still necessary to improve the process of identifying and supplementing the existing databases along with creating new ones. This review summarizes the use of “-omics” approaches in the MALDI TOF MS analysis, including in bacterial identification and antibiotic resistance mechanisms analysis.
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10
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Larson EA, Rensner JJ, Larsen KR, Bellaire B, Lee YJ. Rapid Antibiotic Susceptibility Testing by Deuterium Labeling of Bacterial Lipids in On-Target Microdroplet Cultures. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:1221-1228. [PMID: 35623100 PMCID: PMC9264383 DOI: 10.1021/jasms.2c00056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Antimicrobial resistance is a serious challenge facing human and veterinary health. Current methods of detecting resistance are limited in turn-around time or universal detection. In this work, a new antimicrobial susceptibility test is developed and validated, which utilizes deuterium labeling of membrane lipids to track the growth of bacterial cells. We hypothesize that deuterium uptake and subsequent labeling of lipids can be detected using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). Additionally, bacteria growth is performed on the MALDI target, minimizing sample preparation materials and time. When two Escherichia coli strains are grown in the presence of deuterium oxide, labeling can be detected in as little as 30 min to 2 h. The labeling efficiency, or the ratio of labeled to unlabeled lipid peaks, provides information about the growth rate of bacteria. This growth ratio can differentiate between resistant and susceptible strains of bacteria as a resistant strain will maintain ∼50% labeling efficiency between untreated and treated cultures. In comparison, a susceptible strain will see a decrease in fractional abundance of deuterium from ∼50% in the untreated to ∼10% in the treated. This approach is applied to measure the minimum inhibitory concentration (MIC) of the resistant and susceptible strains from on-target microdroplet culture in a range of antibiotic concentrations. The first antibiotic concentration with a significant decrease in fractional abundance of deuterium correlates well with a traditionally obtained MIC using broth dilution, indicating the clinical relevance of the results.
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Affiliation(s)
- Evan A. Larson
- Department
of Chemistry, Iowa State University, Ames, Iowa 50011, United States
| | - Josiah J. Rensner
- Department
of Chemistry, Iowa State University, Ames, Iowa 50011, United States
| | - Kristina R. Larsen
- Department
of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa 50011, United States
| | - Bryan Bellaire
- Department
of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa 50011, United States
| | - Young Jin Lee
- Department
of Chemistry, Iowa State University, Ames, Iowa 50011, United States
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11
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Kong PH, Chiang CH, Lin TC, Kuo SC, Li CF, Hsiung CA, Shiue YL, Chiou HY, Wu LC, Tsou HH. Discrimination of Methicillin-resistant Staphylococcus aureus by MALDI-TOF Mass Spectrometry with Machine Learning Techniques in Patients with Staphylococcus aureus Bacteremia. Pathogens 2022; 11:586. [PMID: 35631107 PMCID: PMC9143686 DOI: 10.3390/pathogens11050586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 11/29/2022] Open
Abstract
Early administration of proper antibiotics is considered to improve the clinical outcomes of Staphylococcus aureus bacteremia (SAB), but routine clinical antimicrobial susceptibility testing takes an additional 24 h after species identification. Recent studies elucidated matrix-assisted laser desorption/ionization time-of-flight mass spectra to discriminate methicillin-resistant strains (MRSA) or even incorporated with machine learning (ML) techniques. However, no universally applicable mass peaks were revealed, which means that the discrimination model might need to be established or calibrated by local strains' data. Here, a clinically feasible workflow was provided. We collected mass spectra from SAB patients over an 8-month duration and preprocessed by binning with reference peaks. Machine learning models were trained and tested by samples independently of the first six months and the following two months, respectively. The ML models were optimized by genetic algorithm (GA). The accuracy, sensitivity, specificity, and AUC of the independent testing of the best model, i.e., SVM, under the optimal parameters were 87%, 75%, 95%, and 87%, respectively. In summary, almost all resistant results were truly resistant, implying that physicians might escalate antibiotics for MRSA 24 h earlier. This report presents an attainable method for clinical laboratories to build an MRSA model and boost the performance using their local data.
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Affiliation(s)
- Po-Hsin Kong
- Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung 80424, Taiwan; (P.-H.K.); (Y.-L.S.)
- Center for Precision Medicine, Chi Mei Medical Center, Tainan 71004, Taiwan;
| | - Cheng-Hsiung Chiang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli 35053, Taiwan; (C.-H.C.); (C.A.H.); (H.-Y.C.)
| | - Ting-Chia Lin
- Center for Precision Medicine, Chi Mei Medical Center, Tainan 71004, Taiwan;
- Institute of Precision Medicine, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Shu-Chen Kuo
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Miaoli 35053, Taiwan;
| | - Chien-Feng Li
- Department of Medical Research, Chi Mei Medical Center, Tainan 71004, Taiwan;
| | - Chao A. Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli 35053, Taiwan; (C.-H.C.); (C.A.H.); (H.-Y.C.)
| | - Yow-Ling Shiue
- Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung 80424, Taiwan; (P.-H.K.); (Y.-L.S.)
- Institute of Precision Medicine, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Hung-Yi Chiou
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli 35053, Taiwan; (C.-H.C.); (C.A.H.); (H.-Y.C.)
- School of Public Health, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan
- Master’s Program in Applied Epidemiology, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan
| | - Li-Ching Wu
- Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung 80424, Taiwan; (P.-H.K.); (Y.-L.S.)
- Center for Precision Medicine, Chi Mei Medical Center, Tainan 71004, Taiwan;
| | - Hsiao-Hui Tsou
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli 35053, Taiwan; (C.-H.C.); (C.A.H.); (H.-Y.C.)
- Graduate Institute of Biostatistics, College of Public Health, China Medical University, Taichung 40402, Taiwan
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12
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Liu Z, Tang H, Xu H, Lu G, Yang W, Xia Z, Zhu Y, Ni S, Men W, Shen J. Rapid Identification and Drug Sensitivity Test to Urinary Tract Infection Pathogens by DOT-MGA. Infect Drug Resist 2022; 15:1391-1397. [PMID: 35392368 PMCID: PMC8980293 DOI: 10.2147/idr.s356045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 03/17/2022] [Indexed: 11/25/2022] Open
Abstract
Aim To reduce the inspection time for urinary tract pathogens and provide a rapid and effective therapeutic plan for clinical anti-infection treatment, this study developed a rapid identification (ID) and antimicrobial sensitivity test (AST) method by DOT-MGA. Methods We grouped midstream urine samples with single bacteria according to the number of bacteria (≤5/5–15/≥ 15) under per oil microscope after Gram staining. Then we adopted differential centrifugation to process the grouped samples to collect precipitate. MALDI-TOF MS was performed using precipitate directly or after short-term culture. If succeed, we resuspended the precipitate into droplets with or without antibiotics at a MALDI target. Four hours later, mass spectrometer (MS) was used to identify the culture on the target and to analyse AST. Results Samples (count ≥ 15), which precipitate can be directly identified by MS; otherwise, the precipitate need a short-term cultured for 3–6 h before ID. The consistency of the ID results between conventional culture and the precipitate is 100%. Compared with broth microdilution method, DOT-MGA for predicting AST had a high consistency. EA and CA for IPM, LEV, CAZ, NIT, and FOT were 100%/100%, 98%/90%, 98%/92%, 100%/90%, 98%/94%, respectively. No VME was observed in all tests. Besides, MIC50 for the five antibiotics by DOT-MGA and broth microdilution method were ≤1/≤0.5,>2/2,≤4/≤2,≤32/≤16,≤64/≤32 and MIC90 were ≤1/≤0.5, >2/>4, 16/16, 128/128, 128/64. Conclusion This study can shorten the ID time (minimum 0.5h) and AST (minimum 4h) of the main pathogens of urinary tract infection to 5–10 hours, which greatly reduce the inspection time and provide substantial help for the rapid diagnosis and treatment of patients with urinary tract infection.
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Affiliation(s)
- Zhen Liu
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
| | - Hao Tang
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
| | - Huaming Xu
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
| | - Guoping Lu
- Laboratory Department of Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, Anhui, 236000, People’s Republic of China
| | - Wensu Yang
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
| | - Zhaoxin Xia
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
| | - Yi Zhu
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
| | - Shenwang Ni
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
| | - Wanqi Men
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
| | - Jilu Shen
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People’s Republic of China
- Correspondence: Jilu Shen, The Fourth Affiliated Hospital of Anhui Medical University Laboratory, No. 100 Huaihai Avenue, Xinzhan District, Hefei, Anhui Province, 230012, People’s Republic of China, Tel +86 151 5515 2963, Email
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Shipkova M, Jamoussi H. Therapeutic Drug Monitoring of Antibiotic Drugs: The Role of the Clinical Laboratory. Ther Drug Monit 2022; 44:32-49. [PMID: 34726200 DOI: 10.1097/ftd.0000000000000934] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 09/08/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Therapeutic drug monitoring (TDM) of anti-infective drugs is an increasingly complex field, given that in addition to the patient and drug as 2 usual determinants, its success is driven by the pathogen. Pharmacodynamics is related both to the patient (toxicity) and bacterium (efficacy or antibiotic susceptibility). The specifics of TDM of antimicrobial drugs stress the need for multidisciplinary knowledge and expertise, as in any other field. The role and the responsibility of the laboratory in this interplay are both central and multifaceted. This narrative review highlights the role of the clinical laboratory in the TDM process. METHODS A literature search was conducted in PubMed and Google Scholar, focusing on the past 5 years (studies published since 2016) to limit redundancy with previously published review articles. Furthermore, the references cited in identified publications of interest were screened for additional relevant studies and articles. RESULTS The authors addressed microbiological methods to determine antibiotic susceptibility, immunochemical and chromatographic methods to measure drug concentrations (primarily in blood samples), and endogenous clinical laboratory biomarkers to monitor treatment efficacy and toxicity. The advantages and disadvantages of these methods are critically discussed, along with existing gaps and future perspectives on strategies to provide clinicians with as reliable and useful results as possible. CONCLUSIONS Although interest in the field has been the driver for certain progress in analytical technology and quality in recent years, laboratory professionals and commercial providers persistently encounter numerous unresolved challenges. The main tasks that need tackling include broadly and continuously available, easily operated, and cost-effective tests that offer short turnaround times, combined with reliable and easy-to-interpret results. Various fields of research are currently addressing these features.
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Affiliation(s)
- Maria Shipkova
- Competence Center for Therapeutic Drug Monitoring, SYNLAB Holding Germany GmbH, SYNLAB MVZ Leinfelden-Echterdingen GmbH, Leinfelden-Echterdingen, Germany
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Recent Developments in Phenotypic and Molecular Diagnostic Methods for Antimicrobial Resistance Detection in Staphylococcus aureus: A Narrative Review. Diagnostics (Basel) 2022; 12:diagnostics12010208. [PMID: 35054375 PMCID: PMC8774325 DOI: 10.3390/diagnostics12010208] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/12/2022] [Accepted: 01/13/2022] [Indexed: 11/17/2022] Open
Abstract
Staphylococcus aureus is an opportunistic pathogen responsible for a wide range of infections in humans, such as skin and soft tissue infections, pneumonia, food poisoning or sepsis. Historically, S. aureus was able to rapidly adapt to anti-staphylococcal antibiotics and become resistant to several classes of antibiotics. Today, methicillin-resistant S. aureus (MRSA) is a multidrug-resistant pathogen and is one of the most common bacteria responsible for hospital-acquired infections and outbreaks, in community settings as well. The rapid and accurate diagnosis of antimicrobial resistance in S. aureus is crucial to the early initiation of directed antibiotic therapy and to improve clinical outcomes for patients. In this narrative review, I provide an overview of recent phenotypic and molecular diagnostic methods for antimicrobial resistance detection in S. aureus, with a particular focus on MRSA detection. I consider methods for resistance detection in both clinical samples and isolated S. aureus cultures, along with a brief discussion of the advantages and the challenges of implementing such methods in routine diagnostics.
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Tang H, Li R, Xu H, Lu G, Liu Z, Yang W, Xia Z, Zhu Y, Shen J. Direct-on-Target Microdroplet Growth Assay for Detection of Bacterial Resistance in Positive Blood Cultures. Infect Drug Resist 2021; 14:4611-4617. [PMID: 34785912 PMCID: PMC8579891 DOI: 10.2147/idr.s336987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 10/28/2021] [Indexed: 12/17/2022] Open
Abstract
Introduction The recently developed DOT-MGA (direct-on-target microdroplet growth assay) has shown the desirability of direct application of this approach in positive blood cultures and its good performance in detection. This study selected 44 Enterobacteriaceae strains and implemented a DOT-MGA assay on blood cultures to detect their resistance to seven antibiotics. The results of DOT-MGA were compared with the other two antimicrobial susceptibility testing (AST) methods to analyze the detection performance of DOT-MGA. Methods We adopted the differential centrifugation to process positive blood-culture (BC). Processed BC broth was directly used for rapid AST using DOT-MGA. Droplets of 6 µL with and without antibiotics at the EUCAST breakpoint concentration were spotted in triplicates onto the surface of a MALDI target. The plates were incubated in a wet box for 4 h before the broth was removed with filter paper. Bruker Biotyper software was used to analyze the test results compared with standard database, and the scores were used to quantify and determine the results. Results DOT-MGA results were compared with the direct-from-BC disk-diffusion method and results were reported by broth microdilution method, respectively. The comparison demonstrated a 100% growth efficiency in DOT-MGA, a 100% classification consistency for ampicillin, ceftriaxone, and gentamicin, and >93% classification consistency for tobramycin, aztreonam, trimethoprim-sulfamethoxazole (TMP-SMX), and ceftazidime. Discussion These study results have shown that DOT-MGA is suitable for directly identifying bacterial resistance to positive blood cultures in clinical microbiology laboratories. Furthermore, it is conducive for early diagnosis and treatment of patients with bloodstream infection due to its convenience, time efficiency, and good performance in identifying multiple antibiotic-insensitive bacteria.
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Affiliation(s)
- Hao Tang
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People's Republic of China
| | - Rongrong Li
- The First Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People's Republic of China
| | - Huaming Xu
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People's Republic of China
| | - Guoping Lu
- Laboratory Department of Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, Anhui, 236000, People's Republic of China
| | - Zhen Liu
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People's Republic of China
| | - Wensu Yang
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People's Republic of China
| | - Zhaoxin Xia
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People's Republic of China
| | - Yi Zhu
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People's Republic of China
| | - Jilu Shen
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory Department, Hefei, People's Republic of China
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Blumenscheit C, Pfeifer Y, Werner G, John C, Schneider A, Lasch P, Doellinger J. Unbiased Antimicrobial Resistance Detection from Clinical Bacterial Isolates Using Proteomics. Anal Chem 2021; 93:14599-14608. [PMID: 34697938 DOI: 10.1021/acs.analchem.1c00594] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Antimicrobial resistance (AMR) poses an increasing challenge for therapy and clinical management of bacterial infections. Currently, antimicrobial resistance detection relies on phenotypic assays, which are performed independently from species identification. Sequencing-based approaches are possible alternatives for AMR detection, although the analysis of proteins should be superior to gene or transcript sequencing for phenotype prediction as the actual resistance to antibiotics is almost exclusively mediated by proteins. In this proof-of-concept study, we present an unbiased proteomics workflow for detecting both bacterial species and AMR-related proteins in the absence of secondary antibiotic cultivation within <4 h from a primary culture. The workflow was designed to meet the needs in clinical microbiology. It introduces a new data analysis concept for bacterial proteomics, and a software (rawDIAtect) for the prediction and reporting of AMR from peptide identifications. The method was validated using a sample cohort of 7 bacterial species and 11 AMR determinants represented by 13 protein isoforms, which resulted in a sensitivity of 98% and a specificity of 100%.
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Affiliation(s)
- Christian Blumenscheit
- Robert Koch-Institute, Centre for Biological Threats and Special Pathogens, Proteomics and Spectroscopy (ZBS6), 13353 Berlin, Germany
| | - Yvonne Pfeifer
- Nosocomial Pathogens and Antibiotic Resistance (FG13), Robert Koch-Institute, 38855 Wernigerode, Germany
| | - Guido Werner
- Nosocomial Pathogens and Antibiotic Resistance (FG13), Robert Koch-Institute, 38855 Wernigerode, Germany
| | - Charlyn John
- Robert Koch-Institute, Centre for Biological Threats and Special Pathogens, Proteomics and Spectroscopy (ZBS6), 13353 Berlin, Germany
| | - Andy Schneider
- Robert Koch-Institute, Centre for Biological Threats and Special Pathogens, Proteomics and Spectroscopy (ZBS6), 13353 Berlin, Germany
| | - Peter Lasch
- Robert Koch-Institute, Centre for Biological Threats and Special Pathogens, Proteomics and Spectroscopy (ZBS6), 13353 Berlin, Germany
| | - Joerg Doellinger
- Robert Koch-Institute, Centre for Biological Threats and Special Pathogens, Proteomics and Spectroscopy (ZBS6), 13353 Berlin, Germany
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Idelevich EA, Nix ID, Busch JA, Sparbier K, Drews O, Kostrzewa M, Becker K. Rapid Simultaneous Testing of Multiple Antibiotics by the MALDI-TOF MS Direct-on-Target Microdroplet Growth Assay. Diagnostics (Basel) 2021; 11:diagnostics11101803. [PMID: 34679499 PMCID: PMC8534412 DOI: 10.3390/diagnostics11101803] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/22/2021] [Accepted: 09/24/2021] [Indexed: 11/16/2022] Open
Abstract
Accelerating antimicrobial susceptibility testing (AST) is a priority in the development of novel microbiological methods. The MALDI-TOF MS-based direct-on-target microdroplet growth assay (DOT-MGA) has recently been described as a rapid phenotypic AST method. In this proof-of-principle study, we expanded this method to simultaneously test 24 antimicrobials. An Enterobacterales panel was designed and evaluated using 24 clinical isolates. Either one or two (only for antimicrobials with the EUCAST “I” category) breakpoint concentrations were tested. Microdroplets containing bacterial suspensions with antimicrobials and growth controls were incubated directly on the spots of a disposable MALDI target inside a humidity chamber for 6, 8 or 18 h. Broth microdilution was used as the standard method. After 6 and 8 h of incubation, the testing was valid (i.e., growth control was successfully detected) for all isolates and the overall categorical agreement was 92.0% and 92.7%, respectively. Although the overall assay performance applying short incubation times is promising, the lower performance with some antimicrobials and when using the standard incubation time of 18 h indicates the need for thorough standardization of assay conditions. While using “homebrew” utensils and provisional evaluation algorithms here, technical solutions such as dedicated incubation chambers, tools for broth removal and improved software analyses are needed.
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Affiliation(s)
- Evgeny A. Idelevich
- Friedrich Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, 17475 Greifswald, Germany;
- Institute of Medical Microbiology, University Hospital Münster, 48149 Münster, Germany; (I.D.N.); (J.A.B.)
| | - Ilka D. Nix
- Institute of Medical Microbiology, University Hospital Münster, 48149 Münster, Germany; (I.D.N.); (J.A.B.)
- Bruker Daltonics GmbH & Co. KG, 28359 Bremen, Germany; (K.S.); (O.D.); (M.K.)
| | - Janika A. Busch
- Institute of Medical Microbiology, University Hospital Münster, 48149 Münster, Germany; (I.D.N.); (J.A.B.)
| | - Katrin Sparbier
- Bruker Daltonics GmbH & Co. KG, 28359 Bremen, Germany; (K.S.); (O.D.); (M.K.)
| | - Oliver Drews
- Bruker Daltonics GmbH & Co. KG, 28359 Bremen, Germany; (K.S.); (O.D.); (M.K.)
| | - Markus Kostrzewa
- Bruker Daltonics GmbH & Co. KG, 28359 Bremen, Germany; (K.S.); (O.D.); (M.K.)
| | - Karsten Becker
- Friedrich Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, 17475 Greifswald, Germany;
- Correspondence: ; Tel.: +49-3834-86-5560
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Nix ID, Idelevich EA, Schlattmann A, Sparbier K, Kostrzewa M, Becker K. MALDI-TOF Mass Spectrometry-Based Optochin Susceptibility Testing for Differentiation of Streptococcus pneumoniae from other Streptococcus mitis Group Streptococci. Microorganisms 2021; 9:microorganisms9102010. [PMID: 34683331 PMCID: PMC8537049 DOI: 10.3390/microorganisms9102010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 09/15/2021] [Accepted: 09/21/2021] [Indexed: 11/17/2022] Open
Abstract
Discrimination of Streptococcus pneumoniae from other Streptococcus mitis group (SMG) species is still challenging but very important due to their different pathogenic potential. In this study, we aimed to develop a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based optochin susceptibility test with an objective read-out. Optimal test performance was established and evaluated by testing consecutively collected respiratory isolates. Optochin in different concentrations as a potential breakpoint concentration was added to a standardized inoculum. Droplets of 6 µL with optochin and, as growth control, without optochin were spotted onto a MALDI target. Targets were incubated in a humidity chamber, followed by medium removal and on-target protein extraction with formic acid before adding matrix with an internal standard. Spectra were acquired, and results were interpreted as S. pneumoniae in the case of optochin susceptibility (no growth), or as non-S. pneumoniae in the case of optochin non-susceptibility (growth). Highest test accuracy was achieved after 20 h incubation time (95.7%). Rapid testing after 12 h incubation time (optochin breakpoint 2 µg/mL; correct classification 100%, validity 62.5%) requires improvement by optimization of assay conditions. The feasibility of the MALDI-TOF MS-based optochin susceptibility test was demonstrated in this proof-of-principle study; however, confirmation and further improvements are warranted.
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Affiliation(s)
- Ilka D. Nix
- Institute of Medical Microbiology, University Hospital Münster, 48149 Münster, Germany; (I.D.N.); (E.A.I.); (A.S.)
- Bruker Daltonics GmbH & Co. KG, 28359 Bremen, Germany; (K.S.); (M.K.)
| | - Evgeny A. Idelevich
- Institute of Medical Microbiology, University Hospital Münster, 48149 Münster, Germany; (I.D.N.); (E.A.I.); (A.S.)
- Friedrich Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Andreas Schlattmann
- Institute of Medical Microbiology, University Hospital Münster, 48149 Münster, Germany; (I.D.N.); (E.A.I.); (A.S.)
| | - Katrin Sparbier
- Bruker Daltonics GmbH & Co. KG, 28359 Bremen, Germany; (K.S.); (M.K.)
| | - Markus Kostrzewa
- Bruker Daltonics GmbH & Co. KG, 28359 Bremen, Germany; (K.S.); (M.K.)
| | - Karsten Becker
- Institute of Medical Microbiology, University Hospital Münster, 48149 Münster, Germany; (I.D.N.); (E.A.I.); (A.S.)
- Friedrich Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, 17475 Greifswald, Germany
- Correspondence: ; Tel.: +49-3834-86-5560
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Application and Perspectives of MALDI-TOF Mass Spectrometry in Clinical Microbiology Laboratories. Microorganisms 2021; 9:microorganisms9071539. [PMID: 34361974 PMCID: PMC8307939 DOI: 10.3390/microorganisms9071539] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/06/2021] [Accepted: 07/18/2021] [Indexed: 12/11/2022] Open
Abstract
Early diagnosis of severe infections requires of a rapid and reliable diagnosis to initiate appropriate treatment, while avoiding unnecessary antimicrobial use and reducing associated morbidities and healthcare costs. It is a fact that conventional methods usually require more than 24–48 h to culture and profile bacterial species. Mass spectrometry (MS) is an analytical technique that has emerged as a powerful tool in clinical microbiology for identifying peptides and proteins, which makes it a promising tool for microbial identification. Matrix assisted laser desorption ionization–time of flight MS (MALDI–TOF MS) offers a cost- and time-effective alternative to conventional methods, such as bacterial culture and even 16S rRNA gene sequencing, for identifying viruses, bacteria and fungi and detecting virulence factors and mechanisms of resistance. This review provides an overview of the potential applications and perspectives of MS in clinical microbiology laboratories and proposes its use as a first-line method for microbial identification and diagnosis.
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Abstract
The advent of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) in clinical microbiology has dramatically improved the accuracy and speed of diagnostics. However, this progress has mainly been limited to the identification of microorganisms, whereas the practical improvement of antimicrobial susceptibility testing (AST) still lags behind. MALDI-TOF MS-based approaches include the detection of selected resistance mechanisms and the universal phenotypic AST. This minireview focuses on the discussion of those MALDI-TOF MS methods that allow universal growth-based phenotypic AST. The method of minimal profile change concentrations (MPCC) is based on detecting proteome modification in presence of an antimicrobial. Using stable-isotope labeling, characteristic mass shifts in the presence of an antimicrobial indicate the incorporation of the isotopic labels, and, thus, the viability and resistance of the microorganism. For MALDI Biotyper antibiotic susceptibility test rapid assay (MBT-ASTRA), microorganisms are incubated with or without an antimicrobial, followed by cell lysis, protein extraction, and transfer of the cell lysate onto a MALDI target plate. Using the internal standard, peak intensities are correlated to the amount of microbial proteins, and the relative microbial growth is calculated. Most recent development in the field is the direct-on-target microdroplet growth assay (DOT-MGA). Here, incubation of microorganisms with antimicrobials takes place directly on spots of a MALDI target in form of microdroplets. After incubation, nutrient medium is removed by dabbing with absorptive material. Resistant microorganisms grow despite the presence of antimicrobial, and their amplified biomass is detected by MALDI-TOF MS. Finally, an outlook is provided for further assay improvements.
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Najafi Olya Z, Najar-Peerayeh S, Yadegar A, Bakhshi B. Clonal diversity and genomic characterization of Panton-valentine Leukocidin (PVL)-positive Staphylococcus aureus in Tehran, Iran. BMC Infect Dis 2021; 21:372. [PMID: 33882854 PMCID: PMC8058961 DOI: 10.1186/s12879-021-06060-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 04/08/2021] [Indexed: 11/25/2022] Open
Abstract
Background Some Staphylococcus aureus strains produce Panton-Valentine leukocidin (PVL), a bi-component pore-forming toxin, which causes leukocyte lysis and tissue necrosis. Currently, there is very limited information on the molecular epidemiology of PVL-encoding S. aureus strains in Iran. This study aimed to determine the molecular epidemiology and genetic background of PVL-positive S. aureus clinical strains isolated from Iranian patients. Methods A total of 28 PVL-positive S. aureus strains were detected from 600 S. aureus isolates between February 2015 and March 2018 from different hospitals in Tehran, Iran. Antimicrobial susceptibility testing was performed according to the Clinical and Laboratory Standards Institute (CLSI) guidelines. Molecular genotyping was performed using SCCmec and accessory gene regulator (agr) typing, PVL haplotyping, multilocus sequence typing (MLST), and pulsed-field gel electrophoresis (PFGE). Results The highest antibiotic resistance rate was found to be against erythromycin (57.1%), followed by ciprofloxacin (42.8%) and clindamycin (35.7%). Moreover, 19 (67.9%) out of 28 S. aureus isolates were identified as MRSA, including CA-MRSA (14/19, 73.7%) and HA-MRSA (5/19, 26.3%). SCCmec type IVa was detected as the predominant type (10/19, 52.6%), followed by type III (5/19, 26.3%) and type V (4/19, 21.1%). The agr type I was identified as the most common type (14/28, 50%), and H and R haplotype groups were observed at frequencies of 67.9 and 32.1%, respectively. Among H variants, the predominant variant was H2 (78/9%). The isolates encompassed 21 different sequence types (STs), including 16 new STs (ST5147 to ST5162). Based on eBURST analysis, the isolates were clustered into five CCs, including CC30, CC22, CC1, CC8, and CC5 (ST5160), and nine singletons. PFGE typing showed that 24 isolates were clustered into A (4 pulsotypes), B (9 pulsotypes), and C (11 pulsotypes) clusters. Conclusions A high prevalence of PVL-positive CA-MRSA strains was detected in Iran. The majority of PVL-positive isolates were of H (mostly H2) variant, while R variant was harbored by 100% of PVL-positive MRSA strains. Also, CC8, CC22, and CC30 were identified as the dominant clones among PVL-encoding S. aureus strains. This study promotes a better understanding of the molecular epidemiology and evolution of PVL-positive S. aureus strains in Iran.
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Affiliation(s)
- Zahra Najafi Olya
- Department of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, Jalal-Ale-Ahmad Ave, Tehran, 14117-13116, Iran
| | - Shahin Najar-Peerayeh
- Department of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, Jalal-Ale-Ahmad Ave, Tehran, 14117-13116, Iran
| | - Abbas Yadegar
- Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bita Bakhshi
- Department of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, Jalal-Ale-Ahmad Ave, Tehran, 14117-13116, Iran.
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Li R, Tang H, Xu H, Ren Y, Li S, Shen J. Direct-on-Target Microdroplet Growth Assay Applications for Clinical Antimicrobial Susceptibility Testing. Infect Drug Resist 2021; 14:1423-1425. [PMID: 33883910 PMCID: PMC8053884 DOI: 10.2147/idr.s303187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/22/2021] [Indexed: 11/23/2022] Open
Abstract
Direct-on-target microdroplet growth assay is a new technique for analysing bacterial sensitivity and mechanisms of resistance. It is based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and allows for easy and rapid testing. Here, we describe the development and procedure of the direct-on-target microdroplet growth assay and summarise the latest clinical applications.
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Affiliation(s)
- Rongrong Li
- Department of Clinical Laboratory, Hefei Hospital Affiliated to Anhui Medical University the Second People's Hospital of Hefei City, Hefei, Anhui Province, People's Republic of China
| | - Hao Tang
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory, Hefei, People's Republic of China
| | - Huaming Xu
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory, Hefei, People's Republic of China
| | - Yingli Ren
- The Second Affiliated Hospital of Anhui Medical University Laboratory, Hefei, People's Republic of China
| | - Shujin Li
- Department of Clinical Laboratory, Hefei Hospital Affiliated to Anhui Medical University the Second People's Hospital of Hefei City, Hefei, Anhui Province, People's Republic of China
| | - Jilu Shen
- The Fourth Affiliated Hospital of Anhui Medical University Laboratory, Hefei, People's Republic of China
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Kaprou GD, Bergšpica I, Alexa EA, Alvarez-Ordóñez A, Prieto M. Rapid Methods for Antimicrobial Resistance Diagnostics. Antibiotics (Basel) 2021; 10:209. [PMID: 33672677 PMCID: PMC7924329 DOI: 10.3390/antibiotics10020209] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/09/2021] [Accepted: 02/13/2021] [Indexed: 02/06/2023] Open
Abstract
Antimicrobial resistance (AMR) is one of the most challenging threats in public health; thus, there is a growing demand for methods and technologies that enable rapid antimicrobial susceptibility testing (AST). The conventional methods and technologies addressing AMR diagnostics and AST employed in clinical microbiology are tedious, with high turnaround times (TAT), and are usually expensive. As a result, empirical antimicrobial therapies are prescribed leading to AMR spread, which in turn causes higher mortality rates and increased healthcare costs. This review describes the developments in current cutting-edge methods and technologies, organized by key enabling research domains, towards fighting the looming AMR menace by employing recent advances in AMR diagnostic tools. First, we summarize the conventional methods addressing AMR detection, surveillance, and AST. Thereafter, we examine more recent non-conventional methods and the advancements in each field, including whole genome sequencing (WGS), matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) spectrometry, Fourier transform infrared (FTIR) spectroscopy, and microfluidics technology. Following, we provide examples of commercially available diagnostic platforms for AST. Finally, perspectives on the implementation of emerging concepts towards developing paradigm-changing technologies and methodologies for AMR diagnostics are discussed.
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Affiliation(s)
- Georgia D. Kaprou
- Department of Food Hygiene and Technology, University of León, 24071 León, Spain; (I.B.); (E.A.A.); (A.A.-O.); (M.P.)
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367 Belvaux, Luxembourg
| | - Ieva Bergšpica
- Department of Food Hygiene and Technology, University of León, 24071 León, Spain; (I.B.); (E.A.A.); (A.A.-O.); (M.P.)
- Institute of Food Safety, Animal Health and Environment BIOR, LV-1076 Riga, Latvia
| | - Elena A. Alexa
- Department of Food Hygiene and Technology, University of León, 24071 León, Spain; (I.B.); (E.A.A.); (A.A.-O.); (M.P.)
| | - Avelino Alvarez-Ordóñez
- Department of Food Hygiene and Technology, University of León, 24071 León, Spain; (I.B.); (E.A.A.); (A.A.-O.); (M.P.)
- Institute of Food Science and Technology, University of León, 24071 León, Spain
| | - Miguel Prieto
- Department of Food Hygiene and Technology, University of León, 24071 León, Spain; (I.B.); (E.A.A.); (A.A.-O.); (M.P.)
- Institute of Food Science and Technology, University of León, 24071 León, Spain
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Hamilton F, Evans R, MacGowan A. The value of MALDI-TOF failure to provide an identification of Staphylococcal species direct from blood cultures and rule out Staphylococcus aureus bacteraemia: a post-hoc analysis of the RAPIDO trial. Access Microbiol 2020; 3:000192. [PMID: 34151145 PMCID: PMC8209638 DOI: 10.1099/acmi.0.000192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 11/19/2020] [Indexed: 01/19/2023] Open
Abstract
Introduction Rapid differentiation between Staphylococcus aureus (SA) and coagulase-negative staphylococci (CoNS) is critical in clinical infection. Direct matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) identification from blood culture is highly accurate, but is associated with a significant failure rate, delaying identification. However, MALDI-TOF failure may itself be indicative of CoNS infection. Aim We sought to examine whether failure of MALDI-TOF direct ID was indicative of CoNS infection and could be used as a diagnostic tool to promote antimicrobial stewardship. Methodology Results of Gram stains, MALDI-TOF identification and formal identification were extracted from the large, multi-centre RAPIDO trial. All blood cultures with presumed staphylococci were included. MALDI-TOF performance (correct identification, incorrect identification, failed identification) was calculated for each sample and across sites. Risk of SA disease was calculated for each group (correct, incorrect, failed) and across sites. Logistic regression was used to identify if clinical features are associated with MALDI-TOF performance. Results In the RAPIDO trial, 4312 patients were allocated to the MALDI-TOF arm. After exclusions, 880 patients were eligible and had a blood culture with a Gram stain consistent with presumed staphylococci. In total, 204 of these (23.2 %) were ultimately identified as SA. MALDI-ID was successful 83.9 % of the time, and was 100 % accurate when successful. Failure was more common in CoNS isolates (124/641, 19.3 %) than in SA (13/191, 6.4 %). When MALDI-TOF failed, the risk of SA disease was 9.2 % across the whole cohort, although failure rates and risk of SA disease varied significantly between centres. MALDI-TOF failure was independent of clinical characteristics. Conclusion Presumed staphylococci that fail direct MALDI-TOF identification from blood culture are significantly more likely to be CoNS isolates than SA. In low-risk or low-prevalence settings, SA therapy can be withheld if MALDI-TOF is unsuccessful.
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Affiliation(s)
- Fergus Hamilton
- Infection Sciences, Pathology, North Bristol NHS Trust, Bristol, UK.,Population Health Sciences, University of Bristol, Bristol, UK
| | - Rebecca Evans
- Bristol Trials Centre, Bristol Medical School, University of Bristol, Bristol, UK
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Review on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the rapid screening of microbial species: A promising bioanalytical tool. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105387] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Study on Molecular Profiles of Staphylococcus aureus Strains: Spectrometric Approach. Molecules 2020; 25:molecules25214894. [PMID: 33105903 PMCID: PMC7660162 DOI: 10.3390/molecules25214894] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/16/2020] [Accepted: 10/18/2020] [Indexed: 12/19/2022] Open
Abstract
Staphylococcus aureus remains a major health problem responsible for many epidemic outbreaks. Therefore, the development of efficient and rapid methods for studying molecular profiles of S. aureus strains for its further typing is in high demand. Among many techniques, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI TOF MS) represents a timely, cost-effective, and reliable strain typing approach, which is still rarely used due to insufficient knowledge about the impact of sample preparation and analysis conditions on the molecular profiles and strain classification efficiency of S. aureus. The aim of this study was to evaluate the effect of the culture conditions and matrix type on the differentiation of molecular profiles of various S. aureus strains via the MALDI TOF MS analysis and different computational methods. The analysis revealed that by changing the culture conditions, matrix type, as well as a statistical method, the differentiation of S. aureus strains can be significantly improved. Therefore, to accelerate the incorporation of the MALDI-based strain typing in routine laboratories, further studies on the standardization and searching of optimal conditions on a larger number of isolates and bacterial species are of great need.
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Neonakis IK, Spandidos DA. [Comment] MALDI-TOF MS-based direct-on-target microdroplet growth assay: Latest developments. Exp Ther Med 2020; 20:2555-2556. [PMID: 32765747 PMCID: PMC7401853 DOI: 10.3892/etm.2020.8976] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 07/08/2020] [Indexed: 11/18/2022] Open
Abstract
The matrix-assisted laser desorption-ionization time-of-flight mass spectrometry direct-on-target microdroplet growth assay for the rapid susceptibility testing and the detection of the underlying antibiotic resistance mechanisms of microbia has been recently introduced. In the present study, we review the latest developments in the field.
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Affiliation(s)
- Ioannis K Neonakis
- Department of Clinical Microbiology and Microbial Pathogenesis, University Hospital of Heraklion, 71201 Heraklion, Greece
| | - Demetrios A Spandidos
- Laboratory of Clinical Virology, School of Medicine, University of Crete, 71003 Heraklion, Greece
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