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Girolamini L, Caiazza P, Marino F, Pascale MR, Caligaris L, Spiteri S, Derelitto C, Simone ML, Grottola A, Cristino S. Identification of Legionella by MALDI Biotyper through three preparation methods and an in-house library comparing phylogenetic and hierarchical cluster results. Sci Rep 2025; 15:2162. [PMID: 39820522 PMCID: PMC11739463 DOI: 10.1038/s41598-025-85251-4] [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: 03/25/2024] [Accepted: 01/01/2025] [Indexed: 01/19/2025] Open
Abstract
The identification and typing of bacteria are very expensive and time-consuming due to their growth times, and the expertise needed. MALDI-TOF MS represents a fast technique, reproducible with molecular approaches. This technique is still poorly applied in Legionella surveillance with estimation occurring only at the genus level. The aim of this study was to compare three sample preparation methods: direct smear (DS), extended direct smear (EDS), and full extraction (E), using MALDI Biotyper, developing an in-house library. Moreover, Hierarchical cluster analysis (HCA) was compared to mip and rpoB gene sequencing. The dataset was composed of 104 isolates belonging to six Legionella species. The isolates were identified with a sensitivity of 97.11% for DS, 98.08% for EDS, and 95.19% for E. The error rates were 2.88% for DS, 1.92% for EDS, and 4.90% for E, with no significant differences among them. The HCA confirmed the relationship among the isolates reported in the phylogenetic trees. An improvement in sensitivity was obtained using an in-house library. The results suggest the use of a fast and inexpensive DS method, combined with instrument and in-house library for routine Legionella surveillance. HCA analysis could be useful for screening isolates, before undertaking expensive and time-laborious molecular techniques.
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Affiliation(s)
- Luna Girolamini
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Paolo Caiazza
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Federica Marino
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Maria Rosaria Pascale
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Laura Caligaris
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Simona Spiteri
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Carlo Derelitto
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Maria Luisa Simone
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Antonella Grottola
- Regional Reference Laboratory for Clinical Diagnosis of Legionellosis, Unit of Microbiology and Virology, Modena University Hospital, Modena, Italy
| | - Sandra Cristino
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
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Fang Z, Zhou X, Liao H, Xu H. A meta-analysis of Legionella pneumophila contamination in hospital water systems. Am J Infect Control 2023; 51:1250-1262. [PMID: 37054892 DOI: 10.1016/j.ajic.2023.04.002] [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: 02/03/2023] [Revised: 03/31/2023] [Accepted: 04/01/2023] [Indexed: 04/15/2023]
Abstract
BACKGROUND Legionella pneumophila is a common cause of community-acquired pneumonia. We aimed to determine the pooled rates of L pneumophila contamination in the water environment of the hospital. METHODS We searched PubMed, Embase, Web of Science, Chinese National Knowledge Infrastructure, WangFang and Science Direct, The Cochrane Library, and Science Finder, for relevant studies published until December 2022. Stata 16.0 software was used to determine pooled contamination rates, publication bias, and subgroup analysis. RESULTS Forty-eight eligible articles with a total of 23,640 samples of water were evaluated, and the prevalence of L pneumophila was 41.6%. The results of the subgroup analysis showed that the pollution rate of L pneumophila in hot water (47.6%) was higher than that in other water bodies. The rates of L pneumophila contamination were higher in developed countries (45.2%), culture methods (42.3%), published between 1985 and 2015 (42.9%), and studies with a sample size of less than 100 (53.0%). CONCLUSIONS L pneumophila contamination in medical institutions is still very serious and should be paid attention to, especially in developed countries and hot water tanks.
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Affiliation(s)
- Zisi Fang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Xiaocong Zhou
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Hui Liao
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Hong Xu
- Department of Environmental Health, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
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Farina C, Cacciabue E, Averara F, Ferri N, Vailati F, Del Castillo G, Serafini A, Fermi B, Doniselli N, Pezzoli F. Water Safety Plan, Monochloramine Disinfection and Extensive Environmental Sampling Effectively Control Legionella and Other Waterborne Pathogens in Nosocomial Settings: The Ten-Year Experience of an Italian Hospital. Microorganisms 2023; 11:1794. [PMID: 37512966 PMCID: PMC10384652 DOI: 10.3390/microorganisms11071794] [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: 05/24/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Legionella contamination control is crucial in healthcare settings where patients suffer an increased risk of disease and fatal outcome. To ensure an effective management of this health hazard, the accurate application of a hospital-specific Water Safety Plan (WSP), the choice of a suitable water disinfection system and an extensive monitoring program are required. Here, the ten-year experience of an Italian hospital is reported: since its commissioning, Legionellosis risk management has been entrusted to a multi-disciplinary Working Group, applying the principles of the World Health Organization's WSP. The disinfection strategy to prevent Legionella and other waterborne pathogens relies on the treatment of domestic hot water with a system ensuring the in situ production and dosage of monochloramine. An average of 250 samples/year were collected and analyzed to allow an accurate assessment of the microbiological status of water network. With the aim of increasing the monitoring sensitivity, in addition to the standard culture method, an optimized MALDI-ToF MS-based strategy was applied, allowing the identification of Legionella species and other relevant opportunistic pathogens. Data collected so far confirmed the effectiveness of this multidisciplinary approach: the fraction of positive samples never overcame 1% on a yearly basis and Legionnaires' Disease cases never occurred.
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Affiliation(s)
- Claudio Farina
- Microbiology and Virology Laboratory, ASST "Papa Giovanni XXIII", 24127 Bergamo, Italy
| | - Eleonora Cacciabue
- Health Care Coordination Offices, ASST "Papa Giovanni XXIII", 24127 Bergamo, Italy
| | - Franca Averara
- Department of Health Care Professions, ASST "Papa Giovanni XXIII", 24127 Bergamo, Italy
| | - Nadia Ferri
- Microbiology and Virology Laboratory, ASST "Papa Giovanni XXIII", 24127 Bergamo, Italy
| | - Francesca Vailati
- Microbiology and Virology Laboratory, ASST "Papa Giovanni XXIII", 24127 Bergamo, Italy
| | | | | | - Beatrice Fermi
- Sanipur S.p.A., 25020 Flero, Italy
- ESCMID Study Group for Legionella Infections (ESGLI), 4001 Basel, Switzerland
| | - Nicola Doniselli
- Sanipur S.p.A., 25020 Flero, Italy
- ESCMID Study Group for Legionella Infections (ESGLI), 4001 Basel, Switzerland
| | - Fabio Pezzoli
- Health Care Coordination Offices, ASST "Papa Giovanni XXIII", 24127 Bergamo, Italy
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Donohue MJ, Pham M, Brown S, Easwaran KM, Vesper S, Mistry JH. Water quality influences Legionella pneumophila determination. WATER RESEARCH 2023; 238:119989. [PMID: 37137207 PMCID: PMC10351031 DOI: 10.1016/j.watres.2023.119989] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/18/2023] [Accepted: 04/20/2023] [Indexed: 05/05/2023]
Abstract
Legionellosis is a respiratory disease of public health concern. The bacterium Legionella pneumophila is the etiologic agent responsible for >90% of legionellosis cases in the United States. Legionellosis transmission primarily occurs through the inhalation or aspiration of contaminated water aerosols or droplets. Therefore, a thorough understanding of L. pneumophila detection methods and their performance in various water quality conditions is needed to develop preventive measures. Two hundred and nine potable water samples were collected from taps in buildings across the United States. L. pneumophila was determined using three culture methods: Buffered Charcoal Yeast Extract (BCYE) culture with Matrix-assisted Laser Desorption/Ionization Mass Spectrometry (MALDI-MS) identification, Legiolert® 10- and 100-mL tests, and one molecular method: quantitative Polymerase Chain Reaction (qPCR) assay. Culture and molecular positive results were confirmed by secondary testing including MALDI-MS. Eight water quality variables were studied, including source water type, secondary disinfectant, total chlorine residual, heterotrophic bacteria, total organic carbon (TOC), pH, water hardness, cold- and hot-water lines. The eight water quality variables were segmented into 28 categories, based on scale and ranges, and method performance was evaluated in each of these categories. Additionally, a Legionella genus qPCR assay was used to determine the water quality variables that promote or hinder Legionella spp. occurrence. L. pneumophila detection frequency ranged from 2 to 22% across the methods tested. Method performance parameters of sensitivity, specificity, positive and negative predictive values, and accuracy were >94% for the qPCR method but ranged from 9 to 100% for the culture methods. Water quality influenced L. pneumophila determination by culture and qPCR methods. L. pneumophila qPCR detection frequencies positively correlated with TOC and heterotrophic bacterial counts. The source water-disinfectant combination influenced the proportion of Legionella spp. that is L. pneumophila. Water quality influences L. pneumophila determination. To accurately detect L. pneumophila, method selection should consider the water quality in addition to the purpose of testing (general environmental monitoring versus disease-associated investigations).
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Affiliation(s)
- Maura J Donohue
- United States Environmental Protection Agency, Cincinnati, OH 45268, USA.
| | - Maily Pham
- United States Environmental Protection Agency, Cincinnati, OH 45268, USA
| | - Stephanie Brown
- United States Environmental Protection Agency, Cincinnati, OH 45268, USA
| | | | - Stephen Vesper
- United States Environmental Protection Agency, Cincinnati, OH 45268, USA
| | - Jatin H Mistry
- United States Environmental Protection Agency, Region 6, Dallas, TX 75270, USA
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Tata A, Marzoli F, Cordovana M, Tiengo A, Zacometti C, Massaro A, Barco L, Belluco S, Piro R. A multi-center validation study on the discrimination of Legionella pneumophila sg.1, Legionella pneumophila sg. 2-15 and Legionella non- pneumophila isolates from water by FT-IR spectroscopy. Front Microbiol 2023; 14:1150942. [PMID: 37125166 PMCID: PMC10133462 DOI: 10.3389/fmicb.2023.1150942] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 03/20/2023] [Indexed: 05/02/2023] Open
Abstract
This study developed and validated a method, based on the coupling of Fourier-transform infrared spectroscopy (FT-IR) and machine learning, for the automated serotyping of Legionella pneumophila serogroup 1, Legionella pneumophila serogroups 2-15 as well as their successful discrimination from Legionella non-pneumophila. As Legionella presents significant intra- and inter-species heterogeneities, careful data validation strategies were applied to minimize late-stage performance variations of the method across a large microbial population. A total of 244 isolates were analyzed. In details, the method was validated with a multi-centric approach with isolates from Italian thermal and drinking water (n = 82) as well as with samples from German, Italian, French, and British collections (n = 162). Specifically, robustness of the method was verified over the time-span of 1 year with multiple operators and two different FT-IR instruments located in Italy and Germany. Moreover, different production procedures for the solid culture medium (in-house or commercial) and different culture conditions (with and without 2.5% CO2) were tested. The method achieved an overall accuracy of 100, 98.5, and 93.9% on the Italian test set of Legionella, an independent batch of Legionella from multiple European culture collections, and an extra set of rare Legionella non-pneumophila, respectively.
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Affiliation(s)
- Alessandra Tata
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico Sperimentale delle Venezie, Vicenza, Italy
- *Correspondence: Alessandra Tata,
| | - Filippo Marzoli
- Department of Food Safety, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy
| | | | - Alessia Tiengo
- OIE Italian Reference Laboratory for Salmonella, Istituto Zooprofilattico Sperimentale delle Venezie, Padova, Italy
| | - Carmela Zacometti
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico Sperimentale delle Venezie, Vicenza, Italy
| | - Andrea Massaro
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico Sperimentale delle Venezie, Vicenza, Italy
| | - Lisa Barco
- OIE Italian Reference Laboratory for Salmonella, Istituto Zooprofilattico Sperimentale delle Venezie, Padova, Italy
| | - Simone Belluco
- Department of Food Safety, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy
| | - Roberto Piro
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico Sperimentale delle Venezie, Vicenza, Italy
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Evaluation of a Most Probable Number Method for Detection and Quantification of Legionella pneumophila. Pathogens 2022; 11:pathogens11070789. [PMID: 35890033 PMCID: PMC9324539 DOI: 10.3390/pathogens11070789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/02/2022] [Accepted: 07/07/2022] [Indexed: 11/17/2022] Open
Abstract
The detection and enumeration of Legionella pneumophila (L. pneumophila) in water is crucial for water quality management, human health and has been a research hotspot worldwide. Due to the time-consuming and complicated operation of the plate culture method, it is necessary to adopt a fast and effective method for application. The present study aimed to comprehensively evaluate the performance and applicability of the MPN method by comparing its qualitative and quantitative results with the GB/T 18204.5-2013 and ISO methods, respectively. The qualitative results showed that 372 samples (53%) were negative for both methods; 315 samples (45%) were positively determined by the MPN method, compared with 211 samples (30%) using GB/T 18204.5-2013. The difference in the detection rate between the two methods was statistically significant. In addition, the quantitative results showed that the concentration of L. pneumophila by the MPN method was greater than ISO 11731 and the difference was statistically significant. However, the two methods were different but highly correlated (r = 0.965, p < 0.001). The specificity and sensitivity of the MPN method were 89.85% and 95.73%, respectively. Overall, the results demonstrated that the MPN method has higher sensitivity, a simple operation process and good application prospects in the routine monitoring of L. pneumophila from water samples.
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Sogawa K, Ishizaki N, Ishige T, Murata S, Taniguchi T, Furuhata K. Evaluation of Serotyping of Environmental and Clinical Isolates of Legionella pneumophila using MALDI-TOF MS. Biocontrol Sci 2022; 27:81-86. [PMID: 35753796 DOI: 10.4265/bio.27.81] [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] [Indexed: 11/02/2022]
Abstract
Legionella pneumophila (L. pneumophila) is responsible for most Legionnaire's disease cases diagnosed worldwide. The species includes 16 serogroups, but most Legionnaire's disease cases (85.7% in Europe, 87.0% in Japan) are caused by L. pneumophila serogroup 1. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) can be used to identify the L. pneumophila serogroup. In this study, we compared three sample preparation methods that are compatible with MALDI-TOF MS: the direct colony transfer method (DCTM), on-target extraction method (OTEM), and in-tube extraction method (ITEM). The aim was to improve the low identification rates for L. pneumophila, and establish and validate a simple, rapid and robust MALDI-TOF MS-based method for routine use in microbiological laboratories for assignment of L. pneumophila isolates to serogroups and identification of reliable peak biomarkers. Using ITEM, 100.0% (29/29) of hot spring water samples and clinical isolates were correctly identified at the species level. Augmented reference spectra correctly identified all 29 strains at the species level and 29 isolates at the serogroup level, displaying sensitivity, specificity and accuracy of 100.0% for serogroup assignment. MALDI-TOF MS is a relatively inexpensive method for assignment of L. pneumophila serogroups that can serve as a first-line tool for rapid prospective typing.
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Affiliation(s)
- Kazuyuki Sogawa
- Department of Biochemistry, School of Life and Environmental Science, Azabu University
| | - Naoto Ishizaki
- Department of Microbiology, School of Life and Environmental Science, Azabu University
| | - Takayuki Ishige
- Department of Clinical Laboratory, Chiba University Hospital
| | - Syota Murata
- Department of Clinical Laboratory, Chiba University Hospital
| | | | - Katsunori Furuhata
- Department of Microbiology, School of Life and Environmental Science, Azabu University
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Pascale MR, Mazzotta M, Salaris S, Girolamini L, Grottola A, Simone ML, Cordovana M, Bisognin F, Dal Monte P, Bucci Sabattini MA, Viggiani M, Cristino S. Evaluation of MALDI-TOF Mass Spectrometry in Diagnostic and Environmental Surveillance of Legionella Species: A Comparison With Culture and Mip-Gene Sequencing Technique. Front Microbiol 2021; 11:589369. [PMID: 33384668 PMCID: PMC7771186 DOI: 10.3389/fmicb.2020.589369] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 11/19/2020] [Indexed: 12/19/2022] Open
Abstract
Legionella spp. are widespread bacteria in aquatic environments with a growing impact on human health. Between the 61 species, Legionella pneumophila is the most prevalent in human diseases; on the contrary, Legionella non-pneumophila species are less detected in clinical diagnosis or during environmental surveillance due to their slow growth in culture and the absence of specific and rapid diagnostic/analytical tools. Reliable and rapid isolate identification is essential to estimate the source of infection, to undertake containment measures, and to determine clinical treatment. Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI–TOF MS), since its introduction into the routine diagnostics of laboratories, represents a widely accepted method for the identification of different bacteria species, described in a few studies on the Legionella clinical and environmental surveillance. The focus of this study was the improvement of MALDI–TOF MS on Legionella non-pneumophila species collected during Legionella nosocomial and community surveillance. Comparative analysis with cultural and mip-gene sequencing results was performed. Moreover, a phylogenetic analysis was carried out to estimate the correlations amongst isolates. MALDI–TOF MS achieved correct species-level identification for 45.0% of the isolates belonging to the Legionella anisa, Legionella rubrilucens, Legionella feeleii, and Legionella jordanis species, displaying a high concordance with the mip-gene sequencing results. In contrast, less reliable identification was found for the remaining 55.0% of the isolates, corresponding to the samples belonging to species not yet included in the database. The phylogenetic analysis showed relevant differences inside the species, regruped in three main clades; among the Legionella anisa clade, a subclade with a divergence of 3.3% from the main clade was observed. Moreover, one isolate, identified as Legionella quinlivanii, displayed a divergence of 3.8% from the corresponding reference strain. However, these findings require supplementary investigation. The results encourage the implementation of MALDI–TOF MS in routine diagnostics and environmental Legionella surveillance, as it displays a reliable and faster identification at the species level, as well as the potential to identify species that are not yet included in the database. Moreover, phylogenetic analysis is a relevant approach to correlate the isolates and to track their spread, especially in unconventional reservoirs, where Legionella prevention is still underestimated.
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Affiliation(s)
- Maria Rosaria Pascale
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Marta Mazzotta
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Silvano Salaris
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Luna Girolamini
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Antonella Grottola
- Regional Reference Laboratory for Clinical Diagnosis of Legionellosis, Unit of Microbiology and Virology, Modena University Hospital, Modena, Italy
| | - Maria Luisa Simone
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Miriam Cordovana
- Microbiology Unit-Department of Experimental, Diagnostic and Specialty Medicine, S. Orsola-Malpighi University Hospital, Bologna, Italy
| | - Francesco Bisognin
- Microbiology Unit-Department of Experimental, Diagnostic and Specialty Medicine, S. Orsola-Malpighi University Hospital, Bologna, Italy
| | - Paola Dal Monte
- Microbiology Unit-Department of Experimental, Diagnostic and Specialty Medicine, S. Orsola-Malpighi University Hospital, Bologna, Italy
| | | | | | - Sandra Cristino
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
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Abstract
BACKGROUND Legionnaires' disease (LD) occurs predominantly in adults and elderly people. Its incidence in Europe has been increasing in recent years. It is rare in younger age groups and prone to be reported as healthcare-associated infection with a higher risk of fatal outcome. Hospital-acquired LD is mostly associated with a colonized hospital water system. We describe 5 LD cases in a children's hospital in Slovakia, subsequent environmental investigation, control measures, and 5-year monitoring of Legionella colonization in hospital's water system. METHODS In 2014-2019, we tested clinical specimens from 75 hospitalized patients. Respiratory samples were cultured for Legionella, patient's urine was tested for Legionella urinary antigens, and the microagglutination test was used for serologic testing. Samples of water were collected in 2015-2019 and processed according ISO11731. RESULTS We identified 5 Legionella infections in 2014-2015. Median age of patients was 15 years. All were high-risk patients hospitalized for their underlying diseases. All patients required admission to intensive care unit, and artificial ventilation due to general deterioration and respiratory failure. Legionella pneumophila was isolated from 72% of water samples. Chlorine dioxide dosing into water system above 0.3 ppm caused significant decrease of Legionella concentration in water samples. Samples taken from outlets with antimicrobial filter installed were legionellae-negative. CONCLUSIONS Control measures led to decreased risk of infection, but not to eradication of Legionellae. It is necessary to extend the diagnostics for Legionella infection in hospitalized children with pneumonia, especially in hospitals with colonized water system.
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Rodríguez-Sánchez B, Cercenado E, Coste AT, Greub G. Review of the impact of MALDI-TOF MS in public health and hospital hygiene, 2018. ACTA ACUST UNITED AC 2020; 24. [PMID: 30696525 PMCID: PMC6351997 DOI: 10.2807/1560-7917.es.2019.24.4.1800193] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction MALDI-TOF MS represents a new technological era for microbiology laboratories. Improved sample processing and expanded databases have facilitated rapid and direct identification of microorganisms from some clinical samples. Automated analysis of protein spectra from different microbial populations is emerging as a potential tool for epidemiological studies and is expected to impact public health. Aim To demonstrate how implementation of MALDI-TOF MS has changed the way microorganisms are identified, how its applications keep increasing and its impact on public health and hospital hygiene. Methods A review of the available literature in PubMED, published between 2009 and 2018, was carried out. Results Of 9,709 articles retrieved, 108 were included in the review. They show that rapid identification of a growing number of microorganisms using MALDI-TOF MS has allowed for optimisation of patient management through prompt initiation of directed antimicrobial treatment. The diagnosis of Gram-negative bacteraemia directly from blood culture pellets has positively impacted antibiotic streamlining, length of hospital stay and costs per patient. The flexibility of MALDI-TOF MS has encouraged new forms of use, such as detecting antibiotic resistance mechanisms (e.g. carbapenemases), which provides valuable information in a reduced turnaround time. MALDI-TOF MS has also been successfully applied to bacterial typing. Conclusions MALDI-TOF MS is a powerful method for protein analysis. The increase in speed of pathogen detection enables improvement of antimicrobial therapy, infection prevention and control measures leading to positive impact on public health. For antibiotic susceptibility testing and bacterial typing, it represents a rapid alternative to time-consuming conventional techniques.
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Affiliation(s)
- Belén Rodríguez-Sánchez
- These authors contributed equally to this work.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Emilia Cercenado
- Department of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Alix T Coste
- Institute of Microbiology, University Hospital of Lausanne, Lausanne, Switzerland
| | - Gilbert Greub
- Infectious Diseases Service, University Hospital of Lausanne, Lausanne, Switzerland.,Institute of Microbiology, University Hospital of Lausanne, Lausanne, Switzerland.,These authors contributed equally to this work
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Nisar MA, Ross KE, Brown MH, Bentham R, Whiley H. Legionella pneumophila and Protozoan Hosts: Implications for the Control of Hospital and Potable Water Systems. Pathogens 2020; 9:pathogens9040286. [PMID: 32326561 PMCID: PMC7238060 DOI: 10.3390/pathogens9040286] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 04/10/2020] [Accepted: 04/14/2020] [Indexed: 12/12/2022] Open
Abstract
Legionella pneumophila is an opportunistic waterborne pathogen of public health concern. It is the causative agent of Legionnaires’ disease (LD) and Pontiac fever and is ubiquitous in manufactured water systems, where protozoan hosts and complex microbial communities provide protection from disinfection procedures. This review collates the literature describing interactions between L. pneumophila and protozoan hosts in hospital and municipal potable water distribution systems. The effectiveness of currently available water disinfection protocols to control L. pneumophila and its protozoan hosts is explored. The studies identified in this systematic literature review demonstrated the failure of common disinfection procedures to achieve long term elimination of L. pneumophila and protozoan hosts from potable water. It has been demonstrated that protozoan hosts facilitate the intracellular replication and packaging of viable L. pneumophila in infectious vesicles; whereas, cyst-forming protozoans provide protection from prolonged environmental stress. Disinfection procedures and protozoan hosts also facilitate biogenesis of viable but non-culturable (VBNC) L. pneumophila which have been shown to be highly resistant to many water disinfection protocols. In conclusion, a better understanding of L. pneumophila-protozoan interactions and the structure of complex microbial biofilms is required for the improved management of L. pneumophila and the prevention of LD.
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