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Curtoni A, Pastrone L, Cordovana M, Bondi A, Piccinini G, Genco M, Bottino P, Polizzi C, Cavallo L, Mandras N, Corcione S, Montrucchio G, Brazzi L, Costa C. Fourier Transform Infrared Spectroscopy Application for Candida auris Outbreak Typing in a Referral Intensive Care Unit: Phylogenetic Analysis and Clustering Cut-Off Definition. Microorganisms 2024; 12:1312. [PMID: 39065082 PMCID: PMC11279149 DOI: 10.3390/microorganisms12071312] [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: 05/28/2024] [Revised: 06/20/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024] Open
Abstract
Recently Candida auris has emerged as a multi-resistant fungal pathogen, with a significant clinical impact, and is able to persist for a long time on human skin and hospital environments. It is a critical issue on the WHO fungal priority list and therefore it is fundamental to reinforce hospital surveillance protocols to limit nosocomial outbreaks. The purpose of this study was to apply Fourier transform infrared spectroscopy (FT-IR) to investigate the phylogenetic relationships among isolated strains from a C. auris outbreak at the University Intensive Care Unit of a Tertiary University hospital in Turin (Italy). To calculate a clustering cut-off, intra- and inter-isolate, distance values were analysed. The data showed the presence of a major Alfa cluster and a minor Beta cluster with a defined C. auris clustering cut-off. The results were validated by an external C. auris strain and Principal Component and Linear Discriminant Analyses. The application of FT-IR technology allowed to obtain important information about the phylogenetic relationships between the analysed strains, defining for the first time a "not WGS-based" clustering cut-off with a statistical-mathematical approach. FT-IR could represent a valid alternative to molecular methods for the rapid and cost-saving typing of C. auris strains with important clinical implications.
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Affiliation(s)
- Antonio Curtoni
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
- Microbiology and Virology Unit, Department of Laboratory Medicine, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Lisa Pastrone
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
| | | | - Alessandro Bondi
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
- Microbiology and Virology Unit, Department of Laboratory Medicine, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Giorgia Piccinini
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
- PhD National Programme in One Health Approaches to Infectious Diseases and Life Science Research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Mattia Genco
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
| | - Paolo Bottino
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
| | - Carlotta Polizzi
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
| | - Lorenza Cavallo
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
| | - Narcisa Mandras
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
| | - Silvia Corcione
- Infectious Diseases, Department of Medical Sciences, University of Turin, 10126 Turin, Italy;
- School of Medicine, Tufts University, Boston, MA 02111, USA
| | - Giorgia Montrucchio
- Department of Surgical Sciences, University of Turin, 10126 Turin, Italy; (G.M.); (L.B.)
- Intensive Care and Emergency, Department of Anaesthesia, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Luca Brazzi
- Department of Surgical Sciences, University of Turin, 10126 Turin, Italy; (G.M.); (L.B.)
- Intensive Care and Emergency, Department of Anaesthesia, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy
| | - Cristina Costa
- Department of Public Health and Paediatrics, University of Turin, 10126 Turin, Italy; (A.C.); (G.P.); (M.G.); (P.B.); (C.P.); (L.C.); (N.M.); (C.C.)
- Microbiology and Virology Unit, Department of Laboratory Medicine, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy
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McGalliard R, Muhamadali H, AlMasoud N, Haldenby S, Romero-Soriano V, Allman E, Xu Y, Roberts AP, Paterson S, Carrol ED, Goodacre R. Bacterial discrimination by Fourier transform infrared spectroscopy, MALDI-mass spectrometry and whole-genome sequencing. Future Microbiol 2024; 19:795-810. [PMID: 38652264 PMCID: PMC11290759 DOI: 10.2217/fmb-2024-0043] [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: 02/13/2024] [Accepted: 03/21/2024] [Indexed: 04/25/2024] Open
Abstract
Aim: Proof-of-concept study, highlighting the clinical diagnostic ability of FT-IR compared with MALDI-TOF MS, combined with WGS. Materials & methods: 104 pathogenic isolates of Neisseria meningitidis, Streptococcus pneumoniae, Streptococcus pyogenes and Staphylococcus aureus were analyzed. Results: Overall prediction accuracy was 99.6% in FT-IR and 95.8% in MALDI-TOF-MS. Analysis of N. meningitidis serogroups was superior in FT-IR compared with MALDI-TOF-MS. Phylogenetic relationship of S. pyogenes was similar by FT-IR and WGS, but not S. aureus or S. pneumoniae. Clinical severity was associated with the zinc ABC transporter and DNA repair genes in S. pneumoniae and cell wall proteins (biofilm formation, antibiotic and complement permeability) in S. aureus via WGS. Conclusion: FT-IR warrants further clinical evaluation as a promising diagnostic tool.
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Affiliation(s)
- Rachel McGalliard
- Department of Clinical Infection, Microbiology & Immunology, University of Liverpool Institute of Infection, Veterinary & Ecological Sciences, Ronald Ross Building, 8 West Derby Street, Liverpool, UK
- Department of Infectious Diseases, Alder Hey Children's NHS Foundation Trust, Eaton Road, Liverpool, UK
| | - Howbeer Muhamadali
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- center for Metabolomics Research, Department of Biochemistry, Cell & Systems Biology, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, UK
| | - Najla AlMasoud
- College of Science, Princess Nourah Bint Abdulrahman University, Department of Chemistry, Riyadh, 11671, Saudi Arabia
| | - Sam Haldenby
- center for Genomic Research, University of Liverpool, Mersey Bio Building, Crown Street, Liverpool, UK
| | - Valeria Romero-Soriano
- center for Genomic Research, University of Liverpool, Mersey Bio Building, Crown Street, Liverpool, UK
| | - Ellie Allman
- Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Yun Xu
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- center for Metabolomics Research, Department of Biochemistry, Cell & Systems Biology, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, UK
| | - Adam P Roberts
- Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Steve Paterson
- center for Genomic Research, University of Liverpool, Mersey Bio Building, Crown Street, Liverpool, UK
| | - Enitan D Carrol
- Department of Clinical Infection, Microbiology & Immunology, University of Liverpool Institute of Infection, Veterinary & Ecological Sciences, Ronald Ross Building, 8 West Derby Street, Liverpool, UK
- Department of Infectious Diseases, Alder Hey Children's NHS Foundation Trust, Eaton Road, Liverpool, UK
| | - Royston Goodacre
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- center for Metabolomics Research, Department of Biochemistry, Cell & Systems Biology, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, UK
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Teran NS, Vuong L, Phe K, Lasco TM, Miller WR, Tam VH. Comparison of cefiderocol in-vitro susceptibility testing modalities. J Glob Antimicrob Resist 2024; 37:100-101. [PMID: 38552875 PMCID: PMC11344908 DOI: 10.1016/j.jgar.2024.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/20/2024] [Accepted: 03/18/2024] [Indexed: 04/12/2024] Open
Affiliation(s)
- Nicholas S Teran
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas; Department of Pharmacy, Baylor St. Luke's Medical Center, Houston, Texas
| | - Linh Vuong
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas
| | - Kady Phe
- Department of Pharmacy, Baylor St. Luke's Medical Center, Houston, Texas
| | - Todd M Lasco
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas
| | - William R Miller
- Center for Infectious Diseases Research, Houston Methodist Research Institute, Houston, Texas
| | - Vincent H Tam
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas.
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Anwer R. Molecular epidemiology and molecular typing methods of Acinetobacter baumannii: An updated review. Saudi Med J 2024; 45:458-467. [PMID: 38734425 PMCID: PMC11147555 DOI: 10.15537/smj.2024.45.5.20230886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2024] Open
Abstract
The aim of this study was to go through the molecular methods used for typing of carbapenem-resistant Acientobacter baumannii (CRAB) isolates for investigating the molecular epidemiology all over the world. Multiple typing techniques are required to understand the source and nature of outbreaks caused by Acientobacter baumannii (A. baumannii) and acquired resistance to antimicrobials. Nowadays, there is gradual shift from traditional typing methods to modern molecular methods to study molecular epidemiology and infection control. Molecular typing of A. baumannii strains has been revolutionized significantly in the last 2 decades. A few sequencing-based techniques have been proven as a breakthrough and opened new prospects, which have not been achieved by the traditional methods. In this review, discussed different pre-existing and recently used typing methods to explore the molecular epidemiology of A. baumannii pertaining in context with human infections.
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Affiliation(s)
- Razique Anwer
- From the Department of Pathology, College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia.
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Park S, Ryoo N. Comparative analysis of IR-Biotyper, MLST, cgMLST, and WGS for clustering of vancomycin-resistant Enterococcus faecium in a neonatal intensive care unit. Microbiol Spectr 2024; 12:e0411923. [PMID: 38441473 PMCID: PMC10986520 DOI: 10.1128/spectrum.04119-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 02/12/2024] [Indexed: 04/06/2024] Open
Abstract
Healthcare-associated infections caused by vancomycin-resistant Enterococcus faecium (VREFM) pose a significant threat to healthcare. Confirming the relatedness of the bacterial isolates from different patients is challenging. We aimed to assess the efficacy of IR-Biotyper, multilocus sequencing typing (MLST), and core-genome MLST (cgMLST) in comparison with whole-genome sequencing (WGS) for outbreak confirmation in the neonatal intensive care unit (NICU). Twenty VREFM isolates from four neonates and ten control isolates from unrelated patients were analyzed. Genomic DNA extraction, MLST, cgMLST, and WGS were performed. An IR-Biotyper was used with colonies obtained after 24 h of incubation on tryptic soy agar supplemented with 5% sheep blood. The optimal clustering cutoff for the IR-Biotyper was determined by comparing the results with WGS. Clustering concordance was assessed using the adjusted Rand and Wallace indices. MLST and cgMLST identified sequence types (ST) and complex types (CT), revealing suspected outbreak isolates with a predominance of ST17 and CT6553, were confirmed by WGS. For the IR-Biotyper, the proposed optimal clustering cut-off range was 0.106-0.111. Despite lower within-run precision, of the IR-Biotyper, the clustering concordance with WGS was favorable, meeting the criteria for real-time screening. This study confirmed a nosocomial outbreak of VREFM in the NICU using an IR-Biotyper, showing promising results compared to MLST. Although within-run precision requires improvement, the IR-Biotyper demonstrated high discriminatory power and clustering concordance with WGS. These findings suggest its potential as a real-time screening tool for the detection of VREFM-related nosocomial outbreaks. IMPORTANCE In this study, we evaluated the performance of the IR-Biotyper in detecting nosocomial outbreaks caused by vancomycin-resistant Enterococcus faecium, comparing it with MLST, cgMLST, and WGS. We proposed a cutoff that showed the highest concordance compared to WGS and assessed the within-run precision of the IR-Biotyper by evaluating the consistency in genetically identical strain when repeated in the same run.
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Affiliation(s)
- Sunggyun Park
- Departments of Laboratory Medicine, Keimyung University School of Medicine, Daegu, South Korea
| | - Namhee Ryoo
- Departments of Laboratory Medicine, Keimyung University School of Medicine, Daegu, South Korea
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Novais Â, Gonçalves AB, Ribeiro TG, Freitas AR, Méndez G, Mancera L, Read A, Alves V, López-Cerero L, Rodríguez-Baño J, Pascual Á, Peixe L. Development and validation of a quick, automated, and reproducible ATR FT-IR spectroscopy machine-learning model for Klebsiella pneumoniae typing. J Clin Microbiol 2024; 62:e0121123. [PMID: 38284762 PMCID: PMC10865814 DOI: 10.1128/jcm.01211-23] [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] [Received: 09/18/2023] [Accepted: 12/18/2023] [Indexed: 01/30/2024] Open
Abstract
The reliability of Fourier-transform infrared (FT-IR) spectroscopy for Klebsiella pneumoniae typing and outbreak control has been previously assessed, but issues remain in standardization and reproducibility. We developed and validated a reproducible FT-IR with attenuated total reflectance (ATR) workflow for the identification of K. pneumoniae lineages. We used 293 isolates representing multidrug-resistant K. pneumoniae lineages causing outbreaks worldwide (2002-2021) to train a random forest classification (RF) model based on capsular (KL)-type discrimination. This model was validated with 280 contemporaneous isolates (2021-2022), using wzi sequencing and whole-genome sequencing as references. Repeatability and reproducibility were tested in different culture media and instruments throughout time. Our RF model allowed the classification of 33 capsular (KL)-types and up to 36 clinically relevant K. pneumoniae lineages based on the discrimination of specific KL- and O-type combinations. We obtained high rates of accuracy (89%), sensitivity (88%), and specificity (92%), including from cultures obtained directly from the clinical sample, allowing to obtain typing information the same day bacteria are identified. The workflow was reproducible in different instruments throughout time (>98% correct predictions). Direct colony application, spectral acquisition, and automated KL prediction through Clover MS Data analysis software allow a short time-to-result (5 min/isolate). We demonstrated that FT-IR ATR spectroscopy provides meaningful, reproducible, and accurate information at a very early stage (as soon as bacterial identification) to support infection control and public health surveillance. The high robustness together with automated and flexible workflows for data analysis provide opportunities to consolidate real-time applications at a global level. IMPORTANCE We created and validated an automated and simple workflow for the identification of clinically relevant Klebsiella pneumoniae lineages by FT-IR spectroscopy and machine-learning, a method that can be extremely useful to provide quick and reliable typing information to support real-time decisions of outbreak management and infection control. This method and workflow is of interest to support clinical microbiology diagnostics and to aid public health surveillance.
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Affiliation(s)
- Ângela Novais
- UCIBIO, Applied Molecular Biosciences Unit, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Ana Beatriz Gonçalves
- UCIBIO, Applied Molecular Biosciences Unit, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Teresa G. Ribeiro
- UCIBIO, Applied Molecular Biosciences Unit, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculty of Pharmacy, University of Porto, Porto, Portugal
- CCP, Culture Collection of Porto, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Ana R. Freitas
- UCIBIO, Applied Molecular Biosciences Unit, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculty of Pharmacy, University of Porto, Porto, Portugal
- 1H-TOXRUN, One Health Toxicology Research Unit, University Institute of Health Sciences, CESPU, CRL, Gandra, Portugal
| | - Gema Méndez
- CLOVER Bioanalytical Software, Granada, Spain
| | | | - Antónia Read
- Clinical Microbiology Laboratory, Local Healthcare Unit, Matosinhos, Portugal
| | - Valquíria Alves
- Clinical Microbiology Laboratory, Local Healthcare Unit, Matosinhos, Portugal
| | - Lorena López-Cerero
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario Vírgen Macarena, Instituto de Biomedicina de Sevilla (IBIS; CSIC/Hospital Virgen Macarena/Universidad de Sevilla), Sevilla, Spain
- Departamentos de Microbiología y Medicina, Universidad de Sevilla, Sevilla, Spain
| | - Jesús Rodríguez-Baño
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario Vírgen Macarena, Instituto de Biomedicina de Sevilla (IBIS; CSIC/Hospital Virgen Macarena/Universidad de Sevilla), Sevilla, Spain
- Departamentos de Microbiología y Medicina, Universidad de Sevilla, Sevilla, Spain
| | - Álvaro Pascual
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario Vírgen Macarena, Instituto de Biomedicina de Sevilla (IBIS; CSIC/Hospital Virgen Macarena/Universidad de Sevilla), Sevilla, Spain
- Departamentos de Microbiología y Medicina, Universidad de Sevilla, Sevilla, Spain
| | - Luísa Peixe
- UCIBIO, Applied Molecular Biosciences Unit, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Faculty of Pharmacy, University of Porto, Porto, Portugal
- CCP, Culture Collection of Porto, Faculty of Pharmacy, University of Porto, Porto, Portugal
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Kon H, Lurie-Weinberger MN, Lugassy C, Chen D, Schechner V, Schwaber MJ, Hussein K, Alon T, Tarabeia J, Hamo M, Firan I, Aboalhega W, Lomansov E, Mendelsohn S, Keren-Paz A, Carmeli Y. Use of Fourier-transform infrared spectroscopy for real-time outbreak investigation of OXA-48-producing Escherichia coli. J Antimicrob Chemother 2024; 79:349-353. [PMID: 38101944 DOI: 10.1093/jac/dkad387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Efficient infection control during carbapenem-resistant Enterobacterales outbreaks demands rapid and simple techniques for outbreak investigations. WGS, the current gold standard for outbreak identification, is expensive, time-consuming and requires a high level of expertise. Fourier-transform infrared (FTIR) spectroscopy (IR Biotyper) is a rapid typing method based on infrared radiation applied to samples, which provides a highly specific absorption spectrum. OBJECTIVES To investigate an outbreak of OXA-48-producing Escherichia coli in real-time using FTIR and subsequently compare the results with WGS. METHODS Twenty-one isolates were collected during a nosocomial outbreak, and identification and antibiotic susceptibilities were confirmed by VITEK®2. FTIR was conducted for all isolates, and nine representative isolates were sequenced. RESULTS FTIR was able to correctly determine the clonal relatedness of the isolates and to identify the outbreak cluster, as confirmed by WGS. By WGS, isolates in the main FTIR cluster belonged to the same MLST type and core-genome MLST type, and they harboured similar plasmids and resistance genes, whereas the singletons external to the FTIR cluster had different genetic content. CONCLUSIONS FTIR can operate as a rapid, efficient and reliable first-line tool for outbreak investigations during a real-time ongoing E. coli outbreak, which can contribute to limiting the spread of pathogens.
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Affiliation(s)
- Hadas Kon
- National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv, Israel
| | - Mor N Lurie-Weinberger
- National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv, Israel
| | - Carmela Lugassy
- National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv, Israel
| | - Dafna Chen
- National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv, Israel
| | - Vered Schechner
- National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv, Israel
- School of Public Health, Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Mitchell J Schwaber
- National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv, Israel
| | - Khetam Hussein
- Infection Control Unit, Rambam Health Care Campus, Haifa, Israel
- Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Tamar Alon
- Infection Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - Jalal Tarabeia
- Infection Control Unit, Rambam Health Care Campus, Haifa, Israel
- Nursing Faculty, Max Stern Yezreel Valley College, Emek Yezreel, Israel
| | - Moran Hamo
- Infection Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - Ibraheem Firan
- Infection Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - Worood Aboalhega
- Infection Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - Elena Lomansov
- Infection Control Unit, Rambam Health Care Campus, Haifa, Israel
| | - Sigal Mendelsohn
- Microbiology Laboratory, Rambam Health Care Campus, Haifa, Israel
| | - Alona Keren-Paz
- National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv, Israel
| | - Yehuda Carmeli
- National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6997801, Israel
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8
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Uribe G, Salipante SJ, Curtis L, Lieberman JA, Kurosawa K, Cookson BT, Hoogestraat D, Stewart MK, Olmstead T, Bourassa L. Evaluation of Fourier transform-infrared spectroscopy (FT-IR) as a control measure for nosocomial outbreak investigations. J Clin Microbiol 2023; 61:e0034723. [PMID: 37787542 PMCID: PMC10595069 DOI: 10.1128/jcm.00347-23] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/29/2023] [Indexed: 10/04/2023] Open
Abstract
Whole-genome sequencing (WGS) provides greater resolution than other molecular epidemiology strategies and is emerging as a new gold standard approach for microbial strain typing. The Bruker IR Biotyper is designed as a screening tool to identify bacterial isolates that require WGS to establish accurate relationships, but its performance and utility in nosocomial outbreak investigations have not been thoroughly investigated. Here, we evaluated the IR Biotyper by retrospectively examining isolates tested by WGS during investigations of potential nosocomial transmission events or outbreaks. Ninety-eight clinical isolates from 14 different outbreak investigations were examined: three collections of Acinetobacter baumannii (n = 2, n = 9, n = 5 isolates in each collection), one of Escherichia coli (n = 16), two of Pseudomonas aeruginosa (n = 2 and n = 5), two of Serratia marcescens (n = 9 and n = 7), five of Staphylococcus aureus (n = 8, n = 4, n = 3, n = 3, n = 17), and one of Stenotrophomonas maltophilia (n = 8). Linear regression demonstrated a weak, positive correlation between the number of pairwise genome-wide single-nucleotide polymorphisms (SNPs) and IR Biotyper spectral distance values for Gram-positive (r = 0.43, P ≤ 0.0001), Gram-negative (r = 0.1554, P = 0.0639), and all organisms combined (r = 0.342, P ≤ 0.0001). Overall, the IR Biotyper had a positive predictive value (PPV) of 55.81% for identifying strains that were closely related by genomic identity, but a negative predictive value (NPV) of 86.79% for identifying unrelated isolates. When experimentally adjusted cut-offs were applied to A. baumannii, P. aeruginosa, and E. coli, the PPV was 62% for identifying strains that were closely related and the NPV was 100% for identifying unrelated isolates. Implementation of the IR Biotyper as a screening tool in this cohort would have reduced the number of Gram-negative isolates requiring further WGS analysis by 50% and would reduce the number of S. aureus isolates needing WGS resolution by 48%.
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Affiliation(s)
- Gabriela Uribe
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Stephen J. Salipante
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Lauren Curtis
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Joshua A. Lieberman
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Kyoko Kurosawa
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Brad T. Cookson
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Daniel Hoogestraat
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Mary K. Stewart
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Tessa Olmstead
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico, USA
| | - Lori Bourassa
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
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Scheier TC, Franz J, Boumasmoud M, Andreoni F, Chakrakodi B, Duvnjak B, Egli A, Zingg W, Ramette A, Wolfensberger A, Kouyos RD, Brugger SD. Fourier-transform infrared spectroscopy for typing of vancomycin-resistant Enterococcus faecium: performance analysis and outbreak investigation. Microbiol Spectr 2023; 11:e0098423. [PMID: 37737606 PMCID: PMC10581122 DOI: 10.1128/spectrum.00984-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/01/2023] [Indexed: 09/23/2023] Open
Abstract
Vancomycin-resistant Enterococci, mainly Enterococcus faecium (VREfm), are causing nosocomial infections and outbreaks. Bacterial typing methods are used to assist in outbreak investigations. Most of them, especially genotypic methods like multi-locus sequence typing (MLST), whole genome sequencing (WGS), or pulsed-field gel electrophoresis, are quite expensive and time-consuming. Fourier-transform infrared (FT-IR) spectroscopy assesses the biochemical composition of bacteria, such as carboxyl groups in polysaccharides. It is an affordable technique and has a faster turnaround time. Thus, the aim of this study was to evaluate FT-IR spectroscopy for VREfm outbreak investigations. Basic performance requirements like reproducibility and the effects of incubation time were assessed in distinct sample sets. After determining a FT-IR spectroscopy cut-off range, the clustering agreement between FT-IR and WGS within a retrospective (n: 92 isolates) and a prospective outbreak (n: 15 isolates) was investigated. For WGS an average nucleotide identity (ANI) cut-off score of 0.999 was used. Basic performance analysis showed reproducible results. Moreover, FT-IR spectroscopy readouts showed a high agreement with WGS-ANI analysis in clinical outbreak investigations (V-measure 0.772 for the retrospective and 1.000 for the prospective outbreak). FT-IR spectroscopy had a higher discriminatory power than MLST in the outbreak investigations. After determining cut-off values to achieve optimal resolution, FT-IR spectroscopy is a promising technique to assist in outbreak investigation as an affordable, easy-to-use tool with a turnaround time of less than one day. IMPORTANCE Vancomycin-resistant Enterococci, mainly Enterococcus faecium (VREfm), are a frequent cause of nosocomial outbreaks. Several bacterial typing methods are used to track transmissions and investigate outbreaks, whereby genome-based techniques are used as a gold standard. Current methods are either expensive, time-consuming, or both. Additionally, often, specifically trained staff needs to be available. This study provides insight into the use of Fourier-transform infrared (FT-IR) spectroscopy, an affordable, easy-to-use tool with a short turnaround time as a typing method for VREfm. By assessing clinical samples, this work demonstrates promising results for species discrimination and reproducibility. FT-IR spectrosopy shows a high level of agreement in the analysis of VREfm outbreaks in comparison with whole genome sequencing-based methods.
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Affiliation(s)
- T. C. Scheier
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
| | - J. Franz
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
| | - M. Boumasmoud
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
- Institute of Integrative Biology, ETH Zürich, Zurich, Switzerland
| | - F. Andreoni
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
| | - B. Chakrakodi
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
| | - B. Duvnjak
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
| | - A. Egli
- Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
| | - W. Zingg
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
| | - A. Ramette
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - A. Wolfensberger
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
| | - R. D. Kouyos
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
| | - S. D. Brugger
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich, Zurich, Switzerland
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Machine learning-assisted optical nano-sensor arrays in microorganism analysis. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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