Combining Standard Molecular Typing and Whole Genome Sequencing to Investigate Pseudomonas aeruginosa Epidemiology in Intensive Care Units
is one of the main pathogens responsible for nosocomial infections, particularly in Intensive Care Units (ICUs). Due to the complexity of ecology, only powerful typing methods can efficiently allow its surveillance and the detection during expanding outbreaks. An increase in incidence was observed i...
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Published in | Frontiers in public health Vol. 8; p. 3 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
28.01.2020
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Subjects | |
Online Access | Get full text |
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Summary: | is one of the main pathogens responsible for nosocomial infections, particularly in Intensive Care Units (ICUs). Due to the complexity of
ecology, only powerful typing methods can efficiently allow its surveillance and the detection during expanding outbreaks. An increase in
incidence was observed in the ICUs of the Lausanne University Hospital between 2010 and 2014. All clinical and environmental isolates retrieved during this period were typed with Double locus sequence typing (DLST), which detected the presence of three major genotypes: DLST 1-18, DLST 1-21, and DLST 6-7. DLST 1-18 (ST1076) isolates were previously associated with an epidemiologically well-described outbreak in the burn unit. Nevertheless, DLST 1-21 (ST253) and DLST 6-7 (ST17) showed sporadic occurrence with only few cases of possible transmission between patients. Whole genome sequencing (WGS) was used to further investigate the epidemiology of these three major
genotypes in the ICUs. WGS was able to differentiate between outbreak and non-outbreak isolates and confirm suspected epidemiological links. Additionally, whole-genome single nucleotide polymorphisms (SNPs) results considered isolates as closely related for which no epidemiological links were suspected, expanding the epidemiological investigation to unsuspected links. The combination of a first-line molecular typing tool (DLST) with a more discriminatory method (WGS) proved to be an accurate and cost-efficient typing strategy for the investigation of
epidemiology in the ICUs. |
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Bibliography: | PMCID: PMC6997133 Reviewed by: Jie Zheng, United States Food and Drug Administration, United States; Dinesh Sriramulu, Independent Researcher, Chennai, India This article was submitted to Infectious Diseases - Surveillance, Prevention and Treatment, a section of the journal Frontiers in Public Health Edited by: Richard V. Goering, Creighton University, United States Present address: Mohamed M. H. Abdelbary, Division of Oral Microbiology and Immunology, Department of Operative and Preventive Dentistry and Periodontology, RWTH Aachen University Hospital, Aachen, Germany |
ISSN: | 2296-2565 2296-2565 |
DOI: | 10.3389/fpubh.2020.00003 |