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Mousavi-Sagharchi SMA, Afrazeh E, Seyyedian-Nikjeh SF, Meskini M, Doroud D, Siadat SD. New insight in molecular detection of Mycobacterium tuberculosis. AMB Express 2024; 14:74. [PMID: 38907086 PMCID: PMC11192714 DOI: 10.1186/s13568-024-01730-3] [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: 11/29/2023] [Accepted: 06/06/2024] [Indexed: 06/23/2024] Open
Abstract
Mycobacterium tuberculosis, the causative agent of tuberculosis, is a pathogenic bacterium that has claimed millions of lives since the Middle Ages. According to the World Health Organization's report, tuberculosis ranks among the ten deadliest diseases worldwide. The presence of an extensive array of genes and diverse proteins within the cellular structure of this bacterium has provided us with a potent tool for diagnosis. While the culture method remains the gold standard for tuberculosis diagnosis, it is possible that molecular diagnostic methods, emphasis on the identification of mutation genes (e.g., rpoB and gyrA) and single nucleotide polymorphisms, could offer a safe and reliable alternative. Over the past few decades, as our understanding of molecular genetics has expanded, methods have been developed based on gene expansion and detection. These methods typically commence with DNA amplification through nucleic acid targeted techniques such as polymerase chain reaction. Various molecular compounds and diverse approaches have been employed in molecular assays. In this review, we endeavor to provide an overview of molecular assays for the diagnosis of tuberculosis with their properties (utilization, challenges, and functions). The ultimate goal is to explore the potential of replacing traditional bacterial methods with these advanced molecular diagnostic techniques.
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Affiliation(s)
| | - Elina Afrazeh
- Department of Marine Biology, Faculty of Marine Science, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran
| | | | - Maryam Meskini
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
- Department of Genetics, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein, 9301, South Africa.
- Student Research Committee, Pasteur Institute of Iran, Tehran, Iran.
| | - Delaram Doroud
- Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran, Tehran, Iran
| | - Seyed Davar Siadat
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
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2
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Meijers E, Verhees FB, Heemskerk D, Wessels E, Claas ECJ, Boers SA. Automating the Illumina DNA library preparation kit for whole genome sequencing applications on the flowbot ONE liquid handler robot. Sci Rep 2024; 14:8159. [PMID: 38589623 PMCID: PMC11001922 DOI: 10.1038/s41598-024-58963-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 04/05/2024] [Indexed: 04/10/2024] Open
Abstract
Whole-genome sequencing (WGS) is currently making its transition from research tool into routine (clinical) diagnostic practice. The workflow for WGS includes the highly labor-intensive library preparations (LP), one of the most critical steps in the WGS procedure. Here, we describe the automation of the LP on the flowbot ONE robot to minimize the risk of human error and reduce hands-on time (HOT). For this, the robot was equipped, programmed, and optimized to perform the Illumina DNA Prep automatically. Results obtained from 16 LP that were performed both manually and automatically showed comparable library DNA yields (median of 1.5-fold difference), similar assembly quality values, and 100% concordance on the final core genome multilocus sequence typing results. In addition, reproducibility of results was confirmed by re-processing eight of the 16 LPs using the automated workflow. With the automated workflow, the HOT was reduced to 25 min compared to the 125 min needed when performing eight LPs using the manual workflow. The turn-around time was 170 and 200 min for the automated and manual workflow, respectively. In summary, the automated workflow on the flowbot ONE generates consistent results in terms of reliability and reproducibility, while significantly reducing HOT as compared to manual LP.
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Affiliation(s)
- Erin Meijers
- Department of Medical Microbiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Fabienne B Verhees
- Department of Medical Microbiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Dennis Heemskerk
- Department of Medical Microbiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Els Wessels
- Department of Medical Microbiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Eric C J Claas
- Department of Medical Microbiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Stefan A Boers
- Department of Medical Microbiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
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3
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Jauneikaite E, Baker KS, Nunn JG, Midega JT, Hsu LY, Singh SR, Halpin AL, Hopkins KL, Price JR, Srikantiah P, Egyir B, Okeke IN, Holt KE, Peacock SJ, Feasey NA. Genomics for antimicrobial resistance surveillance to support infection prevention and control in health-care facilities. THE LANCET. MICROBE 2023; 4:e1040-e1046. [PMID: 37977161 DOI: 10.1016/s2666-5247(23)00282-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/16/2023] [Accepted: 08/22/2023] [Indexed: 11/19/2023]
Abstract
Integration of genomic technologies into routine antimicrobial resistance (AMR) surveillance in health-care facilities has the potential to generate rapid, actionable information for patient management and inform infection prevention and control measures in near real time. However, substantial challenges limit the implementation of genomics for AMR surveillance in clinical settings. Through a workshop series and online consultation, international experts from across the AMR and pathogen genomics fields convened to review the evidence base underpinning the use of genomics for AMR surveillance in a range of settings. Here, we summarise the identified challenges and potential benefits of genomic AMR surveillance in health-care settings, and outline the recommendations of the working group to realise this potential. These recommendations include the definition of viable and cost-effective use cases for genomic AMR surveillance, strengthening training competencies (particularly in bioinformatics), and building capacity at local, national, and regional levels using hub and spoke models.
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Affiliation(s)
- Elita Jauneikaite
- Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, UK
| | - Kate S Baker
- Department of Clinical Infection, Microbiology, and Immunology, University of Liverpool, Liverpool, UK; Department of Genetics, University of Cambridge, Cambridge, UK.
| | - Jamie G Nunn
- Infectious Disease Challenge Area, Wellcome Trust, London, UK
| | | | - Li Yang Hsu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Shweta R Singh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Alison L Halpin
- Division of Healthcare Quality Promotion, US Centers for Disease Control And Prevention, Atlanta, GA, USA
| | - Katie L Hopkins
- HCAI, Fungal, AMR, AMU, and Sepsis Division and Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, UK Health Security Agency, London, UK
| | - James R Price
- Global Health and Infection, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Padmini Srikantiah
- Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA, USA
| | - Beverly Egyir
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon-Accra, Ghana
| | - Iruka N Okeke
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Kathryn E Holt
- Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, UK; Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | | | - Nicholas A Feasey
- Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, UK; Malawi Liverpool Wellcome Research Programme, Chichiri, Blantyre, Malawi
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4
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Hare D, Dembicka KM, Brennan C, Campbell C, Sutton-Fitzpatrick U, Stapleton PJ, De Gascun CF, Dunne CP. Whole-genome sequencing to investigate transmission of SARS-CoV-2 in the acute healthcare setting: a systematic review. J Hosp Infect 2023; 140:139-155. [PMID: 37562592 DOI: 10.1016/j.jhin.2023.08.002] [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: 05/30/2023] [Revised: 07/03/2023] [Accepted: 08/04/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND Whole-genome sequencing (WGS) has been used widely to elucidate transmission of SARS-CoV-2 in acute healthcare settings, and to guide infection, prevention, and control (IPC) responses. AIM To systematically appraise available literature, published between January 1st, 2020 and June 30th, 2022, describing the implementation of WGS in acute healthcare settings to characterize nosocomial SARS-CoV-2 transmission. METHODS Searches of the PubMed, Embase, Ovid MEDLINE, EBSCO MEDLINE, and Cochrane Library databases identified studies in English reporting the use of WGS to investigate SARS-CoV-2 transmission in acute healthcare environments. Publications involved data collected up to December 31st, 2021, and findings were reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. FINDINGS In all, 3088 non-duplicate records were retrieved; 97 met inclusion criteria, involving 62 outbreak analyses and 35 genomic surveillance studies. No publications from low-income countries were identified. In 87/97 (90%), WGS supported hypotheses for nosocomial transmission, while in 46 out of 97 (47%) suspected transmission events were excluded. An IPC intervention was attributed to the use of WGS in 18 out of 97 (18%); however, only three (3%) studies reported turnaround times ≤7 days facilitating near real-time IPC action, and none reported an impact on the incidence of nosocomial COVID-19 attributable to WGS. CONCLUSION WGS can elucidate transmission of SARS-CoV-2 in acute healthcare settings to enhance epidemiological investigations. However, evidence was not identified to support sequencing as an intervention to reduce the incidence of SARS-CoV-2 in hospital or to alter the trajectory of active outbreaks.
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Affiliation(s)
- D Hare
- UCD National Virus Reference Laboratory, University College Dublin, Ireland; School of Medicine, University of Limerick, Limerick, Ireland.
| | - K M Dembicka
- School of Medicine, University of Limerick, Limerick, Ireland
| | - C Brennan
- UCD National Virus Reference Laboratory, University College Dublin, Ireland
| | - C Campbell
- UCD National Virus Reference Laboratory, University College Dublin, Ireland
| | | | | | - C F De Gascun
- UCD National Virus Reference Laboratory, University College Dublin, Ireland
| | - C P Dunne
- School of Medicine, University of Limerick, Limerick, Ireland; Centre for Interventions in Infection, Inflammation & Immunity (4i), University of Limerick, Limerick, Ireland
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5
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Michel C, Martin C, Smeesters P, Goffard JC, Demuyser T, Hallin M. Next-generation sequencing: what are the needs in routine clinical microbiology? A survey among clinicians involved in infectious diseases practice. Front Med (Lausanne) 2023; 10:1225408. [PMID: 37671400 PMCID: PMC10475535 DOI: 10.3389/fmed.2023.1225408] [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: 05/19/2023] [Accepted: 08/08/2023] [Indexed: 09/07/2023] Open
Abstract
Background The translation of Next-Generation Sequencing (NGS) from research to clinical microbiology is increasing rapidly, but its integration into routine clinical care struggles to catch-up. A challenge for clinical laboratories is that the substantial investments made in the required technologies and resources must meet both current and forthcoming needs. Methods To get a clinical perspective of these needs, we have sent a survey to infectious diseases clinicians of five hospitals, covering the following topics: NGS knowledge, expected syndromes and patients foreseen to benefit from NGS, and expected impact on antimicrobial prescription. Results According to clinicians, benefits of NGS are mostly expected in neurological and respiratory infections diagnostics. Conclusion A better dialog between microbiologists and clinicians about hopes and limits of NGS in microbiology may help identifying key investments needed for clinical laboratories, today and tomorrow.
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Affiliation(s)
- Charlotte Michel
- Department of Microbiology, LHUB-ULB, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Charlotte Martin
- Department of Infectious Diseases, Saint-Pierre University Hospital, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Pierre Smeesters
- Department of Pediatrics, University Hospital Brussels, Université libre de Bruxelles (ULB), Brussels, Belgium
- Department of Pediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Jean-Christophe Goffard
- Department of Internal Medicine, University Hospital Brussels, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Thomas Demuyser
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Marie Hallin
- Centre for Environmental Health and Occupational Health, School of Public Health, University Hospital Brussels, Université libre de Bruxelles (ULB), Brussels, Belgium
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6
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Muñoz-Gallego I, Meléndez Carmona MÁ, Martín Higuera C, Viedma E, Delgado R, Folgueira MD. Rapid screening of SARS-CoV-2 variants, a key tool for pandemic surveillance. Sci Rep 2023; 13:11094. [PMID: 37422474 PMCID: PMC10329708 DOI: 10.1038/s41598-023-37866-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 06/28/2023] [Indexed: 07/10/2023] Open
Abstract
The utility of reverse transcription-polymerase chain reaction (RT-PCR) in analysis SARS-COV-2 variants was evaluated. RT-PCR tests were used to analyse the majority of new SARS-CoV-2 cases (n = 9315) in a tertiary hospital (Madrid, Spain) throughout 2021. Subsequently, whole genome sequencing (WGS) was conducted on 10.8% of these samples (n = 1002). Notably, the Delta and Omicron variants emerged rapidly. There were no discrepancies between RT-PCR and WGS results. Continuous surveillance of SARS-CoV-2 variants is essential, and RT-PCR is a highly useful method, specially during periods of high COVID-19 incidence. This feasible technique can be implemented in all SARS-CoV-2 laboratories. However, WGS remains the gold standard method for comprehensive detection of all existing SARS-CoV-2 variants.
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Affiliation(s)
- Irene Muñoz-Gallego
- Laboratory of Virology, Microbiology Department, Hospital Universitario, 12 de Octubre, Avda de Córdoba s/n, 28041, Madrid, Spain.
- Biomedical Research Institute imas12, Hospital Universitario 12 de Octubre, Madrid, Spain.
| | - María Ángeles Meléndez Carmona
- Laboratory of Virology, Microbiology Department, Hospital Universitario, 12 de Octubre, Avda de Córdoba s/n, 28041, Madrid, Spain
- Biomedical Research Institute imas12, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Carmen Martín Higuera
- Laboratory of Virology, Microbiology Department, Hospital Universitario, 12 de Octubre, Avda de Córdoba s/n, 28041, Madrid, Spain
- Biomedical Research Institute imas12, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Esther Viedma
- Laboratory of Virology, Microbiology Department, Hospital Universitario, 12 de Octubre, Avda de Córdoba s/n, 28041, Madrid, Spain
- Biomedical Research Institute imas12, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Rafael Delgado
- Laboratory of Virology, Microbiology Department, Hospital Universitario, 12 de Octubre, Avda de Córdoba s/n, 28041, Madrid, Spain
- Biomedical Research Institute imas12, Hospital Universitario 12 de Octubre, Madrid, Spain
- Department of Medicine, School of Medicine, Universitario Complutense, Madrid, Spain
| | - María Dolores Folgueira
- Laboratory of Virology, Microbiology Department, Hospital Universitario, 12 de Octubre, Avda de Córdoba s/n, 28041, Madrid, Spain
- Biomedical Research Institute imas12, Hospital Universitario 12 de Octubre, Madrid, Spain
- Department of Medicine, School of Medicine, Universitario Complutense, Madrid, Spain
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7
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Sherry NL, Gorrie CL, Kwong JC, Higgs C, Stuart RL, Marshall C, Ballard SA, Sait M, Korman TM, Slavin MA, Lee RS, Graham M, Leroi M, Worth LJ, Chan HT, Seemann T, Grayson ML, Howden BP. Multi-site implementation of whole genome sequencing for hospital infection control: A prospective genomic epidemiological analysis. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 23:100446. [PMID: 35465046 PMCID: PMC9019234 DOI: 10.1016/j.lanwpc.2022.100446] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
BACKGROUND Current microbiological methods lack the resolution to accurately identify multidrug-resistant organism (MDRO) transmission, however, whole genome sequencing can identify highly-related patient isolates providing opportunities for precision infection control interventions. We investigated the feasibility and potential impact of a prospective multi-centre genomics workflow for hospital infection control. METHODS We conducted a prospective genomics implementation study across eight Australian hospitals over 15 months (2017,2018), collecting all clinical and screening isolates from inpatients with vanA VRE, MRSA, ESBL Escherichia coli (ESBL-Ec), or ESBL Klebsiella pneumoniae (ESBL-Kp). Genomic and epidemiologic data were integrated to assess MDRO transmission. FINDINGS In total, 2275 isolates were included from 1970 patients, predominantly ESBL-Ec (40·8%) followed by MRSA (35·6%), vanA VRE (15·2%), and ESBL-Kp (8·3%).Overall, hospital and genomic epidemiology showed 607 patients (30·8%) acquired their MDRO in hospital, including the majority of vanA VRE (266 patients, 86·4%), with lower proportions of ESBL-Ec (186 patients, 23·0%), ESBL-Kp (42 patients, 26·3%), and MRSA (113 patients, 16·3%). Complex patient movements meant the majority of MDRO transmissions would remain undetected without genomic data.The genomics implementation had major impacts, identifying unexpected MDRO transmissions prompting new infection control interventions, and contributing to vanA VRE becoming a notifiable condition. We identified barriers to implementation and recommend strategies for mitigation. INTERPRETATION Implementation of a multi-centre genomics-informed infection control workflow is feasible and identifies many unrecognised MDRO transmissions. This provides critical opportunities for interventions to improve patient safety in hospitals. FUNDING Melbourne Genomics Health Alliance (supported by State Government of Victoria, Australia), and National Health and Medical Research Council (Australia).
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Affiliation(s)
- Norelle L. Sherry
- Microbiological Diagnostic Unit (MDU) Public Health Laboratory, Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia
- Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Claire L. Gorrie
- Microbiological Diagnostic Unit (MDU) Public Health Laboratory, Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Jason C. Kwong
- Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia
- Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Victoria, Australia
| | - Charlie Higgs
- Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Rhonda L. Stuart
- Monash Infectious Diseases, Monash Health, Clayton, Victoria, Australia
- Monash University, Clayton, Victoria, Australia
- South East Public Health Unit, Monash Health, Clayton, Victoria, Australia
| | - Caroline Marshall
- Infection Prevention & Surveillance, Victorian Infectious Diseases Service, Melbourne Health, Parkville, Victoria, Australia
- Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia
| | - Susan A. Ballard
- Microbiological Diagnostic Unit (MDU) Public Health Laboratory, Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Michelle Sait
- Microbiological Diagnostic Unit (MDU) Public Health Laboratory, Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Tony M. Korman
- Monash Infectious Diseases, Monash Health, Clayton, Victoria, Australia
- Monash University, Clayton, Victoria, Australia
- Department of Microbiology, Monash Health, Clayton, Victoria, Australia
| | - Monica A. Slavin
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia
- National Centre for Infections in Cancer, Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Robyn S. Lee
- Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Maryza Graham
- Monash Infectious Diseases, Monash Health, Clayton, Victoria, Australia
- Monash University, Clayton, Victoria, Australia
- Department of Microbiology, Monash Health, Clayton, Victoria, Australia
| | - Marcel Leroi
- Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia
- Department of Microbiology, Austin Health, University of Melbourne, Heidelberg, Victoria, Australia
| | - Leon J. Worth
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia
- National Centre for Infections in Cancer, Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Hiu Tat Chan
- Department of Microbiology, Melbourne Health, Parkville, Victoria, Australia
| | - Torsten Seemann
- Microbiological Diagnostic Unit (MDU) Public Health Laboratory, Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - M. Lindsay Grayson
- Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Victoria, Australia
- Department of Microbiology, Austin Health, University of Melbourne, Heidelberg, Victoria, Australia
| | - Benjamin P. Howden
- Microbiological Diagnostic Unit (MDU) Public Health Laboratory, Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia
- Department of Microbiology & Immunology at the Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Victoria, Australia
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8
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Ambroa A, Blasco L, López M, Pacios O, Bleriot I, Fernández-García L, González de Aledo M, Ortiz-Cartagena C, Millard A, Tomás M. Genomic Analysis of Molecular Bacterial Mechanisms of Resistance to Phage Infection. Front Microbiol 2022; 12:784949. [PMID: 35250902 PMCID: PMC8891609 DOI: 10.3389/fmicb.2021.784949] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/27/2021] [Indexed: 12/27/2022] Open
Abstract
To optimize phage therapy, we need to understand how bacteria evolve against phage attacks. One of the main problems of phage therapy is the appearance of bacterial resistance variants. The use of genomics to track antimicrobial resistance is increasingly developed and used in clinical laboratories. For that reason, it is important to consider, in an emerging future with phage therapy, to detect and avoid phage-resistant strains that can be overcome by the analysis of metadata provided by whole-genome sequencing. Here, we identified genes associated with phage resistance in 18 Acinetobacter baumannii clinical strains belonging to the ST-2 clonal complex during a decade (Ab2000 vs. 2010): 9 from 2000 to 9 from 2010. The presence of genes putatively associated with phage resistance was detected. Genes detected were associated with an abortive infection system, restriction-modification system, genes predicted to be associated with defense systems but with unknown function, and CRISPR-Cas system. Between 118 and 171 genes were found in the 18 clinical strains. On average, 26% of these genes were detected inside genomic islands in the 2000 strains and 32% in the 2010 strains. Furthermore, 38 potential CRISPR arrays in 17 of 18 of the strains were found, as well as 705 proteins associated with CRISPR-Cas systems. A moderately higher presence of these genes in the strains of 2010 in comparison with those of 2000 was found, especially those related to the restriction-modification system and CRISPR-Cas system. The presence of these genes in genomic islands at a higher rate in the strains of 2010 compared with those of 2000 was also detected. Whole-genome sequencing and bioinformatics could be powerful tools to avoid drawbacks when a personalized therapy is applied. In this study, it allows us to take care of the phage resistance in A. baumannii clinical strains to prevent a failure in possible phage therapy.
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Affiliation(s)
- Antón Ambroa
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Lucia Blasco
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - María López
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
- Spanish Network for Research in Infectious Diseases (REIPI), Infectious Diseases Network Biomedical Research Center (CIBERINFEC), Carlos III Health Institute, Madrid, Spain
| | - Olga Pacios
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Inés Bleriot
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Laura Fernández-García
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Manuel González de Aledo
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
| | - Concha Ortiz-Cartagena
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
| | - Andrew Millard
- Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - María Tomás
- Microbiology Department-Research Institute Biomedical A Coruña (INIBIC), Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Study Group on Mechanisms of Action and Resistance to Antimicrobials (GEMARA) the Behalf of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Madrid, Spain
- Spanish Network for Research in Infectious Diseases (REIPI), Infectious Diseases Network Biomedical Research Center (CIBERINFEC), Carlos III Health Institute, Madrid, Spain
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9
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Burillo A, Bouza E. Faster infection diagnostics for intensive care unit (ICU) patients. Expert Rev Mol Diagn 2022; 22:347-360. [PMID: 35152813 DOI: 10.1080/14737159.2022.2037422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION : The patient admitted to intensive care units (ICU) is critically ill, to some extent immunosuppressed, with a high risk of infection, sometimes by multidrug-resistant microorganisms. In this context, the intensivist expects from the microbiology service quick and understandable information so that appropriate antimicrobial treatment for that particular patient and infection can be initiated. AREAS COVERED : In this review of recent literature (2015-2021), we identified diagnostic methods for the most prevalent infections in these patients through a search of the databases Pubmed, evidence-based medicine online, York University reviewers group, Cochrane, MBE-Trip, and Sumsearch using the terms: adult, clinical laboratory techniques, critical care, early diagnosis, microbiology, molecular diagnostic techniques, spectrometry and metagenomics. EXPERT OPINION : There has been an exponential surge in diagnostic systems used directly on blood and other samples to expedite microbial identification and antimicrobial susceptibility testing of pathogens. Few studies have thus far assessed their clinical impact; final outcomes will also depend on preanalytical and post-analytical factors. Besides, many of the resistance mechanisms cannot yet be detected with molecular techniques, which impairs the prediction of the actual resistance phenotype. Nonetheless, this is an exciting field with much yet to explore.
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Affiliation(s)
- Almudena Burillo
- Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Doctor Esquerdo 46, 28007 Madrid, Spain.,Medicine Department, School of Medicine, Universidad Complutense de Madrid, Plaza Ramón y Cajal s/n, Ciudad Universitaria, 28040 Madrid, Spain.,Gregorio Marañón Health Research Institute, Doctor Esquerdo 46, 28007, Madrid, Spain
| | - Emilio Bouza
- Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Doctor Esquerdo 46, 28007 Madrid, Spain.,Medicine Department, School of Medicine, Universidad Complutense de Madrid, Plaza Ramón y Cajal s/n, Ciudad Universitaria, 28040 Madrid, Spain.,Gregorio Marañón Health Research Institute, Doctor Esquerdo 46, 28007, Madrid, Spain.,CIBER of Respiratory Diseases (CIBERES CB06/06/0058), Av. Monforte de Lemos 3-5, Pabellón 11, Planta, 28029 Madrid, Spain
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10
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Singh RB, Das S, Chodosh J, Sharma N, Zegans ME, Kowalski RP, Jhanji V. Paradox of complex diversity: Challenges in the diagnosis and management of bacterial keratitis. Prog Retin Eye Res 2021; 88:101028. [PMID: 34813978 DOI: 10.1016/j.preteyeres.2021.101028] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/09/2021] [Accepted: 11/12/2021] [Indexed: 12/12/2022]
Abstract
Bacterial keratitis continues to be one of the leading causes of corneal blindness in the developed as well as the developing world, despite swift progress since the dawn of the "anti-biotic era". Although, we are expeditiously developing our understanding about the different causative organisms and associated pathology leading to keratitis, extensive gaps in knowledge continue to dampen the efforts for early and accurate diagnosis, and management in these patients, resulting in poor clinical outcomes. The ability of the causative bacteria to subdue the therapeutic challenge stems from their large genome encoding complex regulatory networks, variety of unique virulence factors, and rapid secretion of tissue damaging proteases and toxins. In this review article, we have provided an overview of the established classical diagnostic techniques and therapeutics for keratitis caused by various bacteria. We have extensively reported our recent in-roads through novel tools for accurate diagnosis of mono- and poly-bacterial corneal infections. Furthermore, we outlined the recent progress by our group and others in understanding the sub-cellular genomic changes that lead to antibiotic resistance in these organisms. Finally, we discussed in detail, the novel therapies and drug delivery systems in development for the efficacious management of bacterial keratitis.
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Affiliation(s)
- Rohan Bir Singh
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA; Department of Ophthalmology, Leiden University Medical Center, 2333, ZA Leiden, the Netherlands
| | - Sujata Das
- Cornea and Anterior Segment Services, LV Prasad Eye Institute, Bhubaneshwar, India
| | - James Chodosh
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Namrata Sharma
- Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India
| | - Michael E Zegans
- Department of Ophthalmology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Regis P Kowalski
- Department of Ophthalmology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; The Charles T Campbell Ophthalmic Microbiology Laboratory, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Vishal Jhanji
- Department of Ophthalmology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; The Charles T Campbell Ophthalmic Microbiology Laboratory, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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11
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Dennis EK, Chaturvedi S, Chaturvedi V. So Many Diagnostic Tests, So Little Time: Review and Preview of Candida auris Testing in Clinical and Public Health Laboratories. Front Microbiol 2021; 12:757835. [PMID: 34691009 PMCID: PMC8529189 DOI: 10.3389/fmicb.2021.757835] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 09/13/2021] [Indexed: 01/13/2023] Open
Abstract
The recognition of a new yeast, Candida auris, in 2009 in East Asia, and its rapid global spread, was a reminder of the threats posed by multidrug-resistant fungal pathogens. C. auris had likely remained unrecognized for a long time as accurate tests were not available. The laboratory community responded to the C. auris challenge by publishing 35 new or revised diagnostic methods between 2014 and early 2021. The commercial sector also modified existing diagnostic devices. These C. auris diagnostic tests run the gamut from traditional culture-based differential and selective media, biochemical assimilations, and rapid protein profiles, as well as culture-independent DNA-based diagnostics. We provide an overview of these developments, especially the tests with validation data that were subsequently adopted for common use. We share a workflow developed in our laboratory to process over 37,000 C. auris surveillance samples and 5,000 C. auris isolates from the outbreak in the New York metropolitan area. Our preview covers new devices and diagnostic approaches on the horizon based on microfluidics, optics, and nanotechnology. Frontline laboratories need rapid, cheap, stable, and easy-to-implement tests to improve C. auris diagnosis, surveillance, patient isolation, admission screening, and environmental control. Among the urgent needs is a lateral flow assay or similar device for presumptive C. auris identification. All laboratories will benefit from devices that allow rapid antifungal susceptibility testing, including detection of mutations conferring drug resistance. Hopefully, multiplex test panels are on the horizon for synergy of C. auris testing with ongoing surveillance of other healthcare-associated infections. C. auris genome analysis has a proven role for outbreak investigations, and diagnostic laboratories need quick access to regional and national genome analysis networks.
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Affiliation(s)
- Emily K Dennis
- Mycology Laboratory, Wadsworth Center, New York State Department of Health, Albany, NY, United States
| | - Sudha Chaturvedi
- Mycology Laboratory, Wadsworth Center, New York State Department of Health, Albany, NY, United States.,Department of Biomedical Sciences, University at Albany, Albany, NY, United States
| | - Vishnu Chaturvedi
- Mycology Laboratory, Wadsworth Center, New York State Department of Health, Albany, NY, United States
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12
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Pelegrin AC, Palmieri M, Mirande C, Oliver A, Moons P, Goossens H, van Belkum A. Pseudomonas aeruginosa: a clinical and genomics update. FEMS Microbiol Rev 2021; 45:6273131. [PMID: 33970247 DOI: 10.1093/femsre/fuab026] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 05/07/2021] [Indexed: 12/13/2022] Open
Abstract
Antimicrobial resistance (AMR) has become a global medical priority that needs urgent resolution. Pseudomonas aeruginosa is a versatile, adaptable bacterial species with widespread environmental occurrence, strong medical relevance, a diverse set of virulence genes and a multitude of intrinsic and possibly acquired antibiotic resistance traits. P. aeruginosa causes a wide variety of infections and has an epidemic-clonal population structure. Several of its dominant global clones have collected a wide variety of resistance genes rendering them multi-drug resistant (MDR) and particularly threatening groups of vulnerable individuals including surgical patients, immunocompromised patients, Caucasians suffering from cystic fibrosis (CF) and more. AMR and MDR especially are particularly problematic in P. aeruginosa significantly complicating successful antibiotic treatment. In addition, antimicrobial susceptibility testing (AST) of P. aeruginosa can be cumbersome due to its slow growth or the massive production of exopolysaccharides and other extracellular compounds. For that reason, phenotypic AST is progressively challenged by genotypic methods using whole genome sequences (WGS) and large-scale phenotype databases as a framework of reference. We here summarize the state of affairs and the quality level of WGS-based AST for P. aeruginosa mostly from clinical origin.
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Affiliation(s)
- Andreu Coello Pelegrin
- bioMérieux, Data Analytics Unit, 3 Route du Port Michaud, 38390 La Balme les Grottes, France
| | - Mattia Palmieri
- bioMérieux, Data Analytics Unit, 3 Route du Port Michaud, 38390 La Balme les Grottes, France
| | - Caroline Mirande
- bioMérieux, R&D Microbiology, Route du Port Michaud, 38390 La Balme-les-Grottes, France
| | - Antonio Oliver
- Servicio de Microbiología, Módulo J, segundo piso, Hospital Universitario Son Espases, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Ctra. Valldemossa, 79, 07120 Palma de Mallorca, Spain
| | - Pieter Moons
- Laboratory of Medical Microbiology, University of Antwerp, Universiteitsplein 1, building S, 2610 Wilrijk, Antwerp, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Alex van Belkum
- bioMérieux, Open Innovation and Partnerships, 3 Route du Port Michaud, 38390 La Balme Les Grottes, France
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13
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Buckley SJ, Davies MR, McMillan DJ. In silico characterisation of stand-alone response regulators of Streptococcus pyogenes. PLoS One 2020; 15:e0240834. [PMID: 33075055 PMCID: PMC7571705 DOI: 10.1371/journal.pone.0240834] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 10/02/2020] [Indexed: 12/20/2022] Open
Abstract
Bacterial “stand-alone” response regulators (RRs) are pivotal to the control of gene transcription in response to changing cytosolic and extracellular microenvironments during infection. The genome of group A Streptococcus (GAS) encodes more than 30 stand-alone RRs that orchestrate the expression of virulence factors involved in infecting multiple tissues, so causing an array of potentially lethal human diseases. Here, we analysed the molecular epidemiology and biological associations in the coding sequences (CDSs) and upstream intergenic regions (IGRs) of 35 stand-alone RRs from a collection of global GAS genomes. Of the 944 genomes analysed, 97% encoded 32 or more of the 35 tested RRs. The length of RR CDSs ranged from 297 to 1587 nucleotides with an average nucleotide diversity (π) of 0.012, while the IGRs ranged from 51 to 666 nucleotides with average π of 0.017. We present new evidence of recombination in multiple RRs including mga, leading to mga-2 switching, emm-switching and emm-like gene chimerization, and the first instance of an isolate that encodes both mga-1 and mga-2. Recombination was also evident in rofA/nra and msmR loci with 15 emm-types represented in multiple FCT (fibronectin-binding, collagen-binding, T-antigen)-types, including novel emm-type/FCT-type pairings. Strong associations were observed between concatenated RR allele types, and emm-type, MLST-type, core genome phylogroup, and country of sampling. No strong associations were observed between individual loci and disease outcome. We propose that 11 RRs may form part of future refinement of GAS typing systems that reflect core genome evolutionary associations. This subgenomic analysis revealed allelic traits that were informative to the biological function, GAS strain definition, and regional outbreak detection.
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Affiliation(s)
- Sean J. Buckley
- School of Health and Sports Sciences, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- * E-mail:
| | - Mark R. Davies
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - David J. McMillan
- School of Health and Sports Sciences, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
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14
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Hassoun-Kheir N, Snitser O, Hussein K, Rabino G, Eluk O, Warman S, Aboalhega W, Geffen Y, Mendelson S, Kishony R, Paul M. Concordance between epidemiological evaluation of probability of transmission and whole genome sequence relatedness among hospitalized patients acquiring Klebsiella pneumoniae carbapenemase-producing Klebsiella pneumoniae. Clin Microbiol Infect 2020; 27:468.e1-468.e7. [PMID: 32360206 DOI: 10.1016/j.cmi.2020.04.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 03/28/2020] [Accepted: 04/16/2020] [Indexed: 12/23/2022]
Abstract
OBJECTIVES We aimed to evaluate the concordance between epidemiologically determined transmission and genetic linkage of Klebsiella pneumoniae carbapenemase (KPC)-producing Klebsiella pneumoniae (KPC-Kp). METHODS We included consecutive KPC-Kp carriers between December 2016 and April 2017 in a hospital endemic for KPC-Kp. We assessed epidemiological relatedness between patients by prospective investigations by the infection control team. The probability of epidemiological relatedness was classified into four groups: no suspected transmission, low, moderate and high probability of transmission. Whole-genome sequencing of isolates was performed. Genetic linkage between KPC-Kp isolates was expressed by distance between isolates in single nucleotide polymorphisms (SNPs). We established an SNP cut-off defining a different strain based on the reconstructed phylogenetic tree. We compared the epidemiological and genetic linkage of all isolates from all patients. RESULTS The study included 25 KPC-Kp carriers with 49 isolates. SNP variance was available for 1129 crossed patient-isolate pairs. Genomic linkage, based on a cut-off of 80 SNPs to define related isolates, was found in 115/708 (16.2%) of isolates with no transmission suspected epidemiologically, 27/319 (8.5%) of low, 11/26 (42.3%) of moderate and 64/76 (84.2%) of high epidemiological transmission risk determination (p < 0.001 for trend). Similar results and significant trends were shown on sensitivity analyses using a lower SNP cut-off (six SNPs) and patient-isolate unique pairs, analysing the first isolate from each patient. CONCLUSIONS While significant concordance between epidemiological and genomic transmission patterns was found, epidemiological investigations of transmission are limited by the possibility of unidentified transmissions or over-estimation of associations. Genetic linkage analysis is an important aid to epidemiological transmission assessment.
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Affiliation(s)
- N Hassoun-Kheir
- Infectious Diseases and Infection-Control Unit, Rambam Health Care Campus, Haifa, Israel; Technion - Israel Institute of Technology, Haifa, Israel.
| | - O Snitser
- Technion - Israel Institute of Technology, Haifa, Israel
| | - K Hussein
- Infectious Diseases and Infection-Control Unit, Rambam Health Care Campus, Haifa, Israel; Technion - Israel Institute of Technology, Haifa, Israel
| | - G Rabino
- Infectious Diseases and Infection-Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - O Eluk
- Infectious Diseases and Infection-Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - S Warman
- Infectious Diseases and Infection-Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - W Aboalhega
- Infectious Diseases and Infection-Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - Y Geffen
- Technion - Israel Institute of Technology, Haifa, Israel; Clinical Microbiology Laboratory, Rambam Health Care Campus, Haifa, Israel
| | - S Mendelson
- Clinical Microbiology Laboratory, Rambam Health Care Campus, Haifa, Israel
| | - R Kishony
- Technion - Israel Institute of Technology, Haifa, Israel
| | - M Paul
- Infectious Diseases and Infection-Control Unit, Rambam Health Care Campus, Haifa, Israel; Technion - Israel Institute of Technology, Haifa, Israel
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15
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Fourier Transform Infrared Spectroscopy Is a New Option for Outbreak Investigation: a Retrospective Analysis of an Extended-Spectrum-Beta-Lactamase-Producing Klebsiella pneumoniae Outbreak in a Neonatal Intensive Care Unit. J Clin Microbiol 2020; 58:JCM.00098-20. [PMID: 32161093 DOI: 10.1128/jcm.00098-20] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 02/28/2020] [Indexed: 12/13/2022] Open
Abstract
The IR Biotyper is a new automated typing system based on Fourier-transform infrared (FT-IR) spectroscopy that gives results within 4 h. We aimed (i) to use the IR Biotyper to retrospectively analyze an outbreak of extended-spectrum beta-lactamase-producing Klebsiella pneumoniae (ESBL-KP) in a neonatal intensive care unit and to compare results to BOX-PCR and whole-genome sequencing (WGS) results as the gold standard and (ii) to assess how the cutoff values used to define clusters affect the discriminatory power of the IR Biotyper. The sample consisted of 18 isolates from 14 patients. Specimens were analyzed in the IR Biotyper using the default analysis settings, and spectra were analyzed using OPUS 7.5 software. The software contains a feature that automatically proposes a cutoff value to define clusters; the cutoff value defines up to which distance the spectra are considered to be in the same cluster. Based on FT-IR, the outbreak represented 1 dominant clone, 1 secondary clone, and several unrelated clones. FT-IR results, using the cutoff value generated by the accompanying software after 4 replicates, were concordant with WGS for all but 1 isolate. BOX-PCR was underdiscriminatory compared to the other two methods. Using the cutoff value generated after 12 replicates, the results of FT-IR and WGS were completely concordant. The IR Biotyper can achieve the same typeability and discriminatory power as genome-based methods. However, to attain this high performance requires either previous, strain-dependent knowledge about the optimal technical parameters to be used or validation by a second method.
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16
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Domagalska MA, Dujardin JC. Next-Generation Molecular Surveillance of TriTryp Diseases. Trends Parasitol 2020; 36:356-367. [PMID: 32191850 DOI: 10.1016/j.pt.2020.01.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 01/24/2020] [Accepted: 01/27/2020] [Indexed: 12/20/2022]
Abstract
Elimination programs targeting TriTryp diseases (Leishmaniasis, Chagas' disease, human African trypanosomiasis) significantly reduced the number of cases. Continued surveillance is crucial to sustain this progress, but parasite molecular surveillance by genotyping is currently lacking. We explain here which epidemiological questions of public health and clinical relevance could be answered by means of molecular surveillance. Whole-genome sequencing (WGS) for molecular surveillance will be an important added value, where we advocate that preference should be given to direct sequencing of the parasite's genome in host tissues instead of analysis of cultivated isolates. The main challenges here, and recent technological advances, are discussed. We conclude with a series of recommendations for implementing whole-genome sequencing for molecular surveillance.
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Affiliation(s)
- Malgorzata Anna Domagalska
- Molecular Parasitology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium.
| | - Jean-Claude Dujardin
- Molecular Parasitology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium
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17
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Molecular analysis and epidemiological typing of Vancomycin-resistant Enterococcus outbreak strains. Sci Rep 2019; 9:11917. [PMID: 31417140 PMCID: PMC6695431 DOI: 10.1038/s41598-019-48436-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 08/05/2019] [Indexed: 12/14/2022] Open
Abstract
Outbreaks of multidrug resistant bacteria including vancomycin-resistant enterococci (VRE) in healthcare institutions are increasing in Norway, despite a low level of resistance compared to other European countries. In this study, we describe epidemiological relatedness of vancomycin-resistant Enterococcus faecium isolated during an outbreak at a Norwegian hospital in 2012–2013. During the outbreak, 9454 fecal samples were screened for VRE by culture and/or PCR. Isolates from 86 patients carrying the vanA resistance gene were characterized using pulsed-field gel electrophoresis (PFGE), MALDI-TOF mass spectrometry and single nucleotide polymorphism typing. PFGE revealed two main clusters, the first comprised 56 isolates related to an initial outbreak strain, and the second comprised 21 isolates originating from a later introduced strain, together causing two partly overlapping outbreaks. Nine isolates, including the index case were not related to the two outbreak clusters. In conclusion, the epidemiological analyses show that the outbreak was discovered by coincidence, and that infection control measures were successful. All typing methods identified the two outbreak clusters, and the experiment congruence between the MALDI-TOF and the PFGE clustering was 63.2%, with a strong correlation (r = 72.4%). Despite lower resolution compared to PFGE, MALDI-TOF may provide an efficient mean for real-time monitoring spread of infection.
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