Revathy Arushothy , Norazlah Bahari , Punitha Manoharan , Mohammad Ridhuan Mohd Ali , Siti Nur Zawani Rosli , Nazirah Samsuddin , Nur Sulhi Ilani Che Unik , Fairuz Amran , Ratna Mohd Tap , Rohaidah Hashim , Sheila Nathan
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引用次数: 0
Abstract
Objectives
Melioidosis, which is endemic in Malaysia, is caused by Burkholderia pseudomallei and has an elevated risk of mortality. This study reports a case of fatal melioidosis involving an adolescent, where the B. pseudomallei variant causing the infection was traced to the environment based on whole genome sequencing (WGS) analysis.
Methods
Burkholderia pseudomallei was isolated from an adolescent patient with no known risk factors, who developed fatal community-acquired pneumonia and sepsis. Further investigation and environment sampling were performed to identify the route of infection. Genomic characterization of both clinical and environmental B. pseudomallei isolates was performed to establish genetic relatedness, assess phylogenomic relationships, and identify virulence and antimicrobial resistance genes.
Results
Genomic pairwise SNP distance analysis suggests a shared common ancestor between the patient and environmental isolates. Nevertheless, the identification of the novel sequence type ST1901 in both supports the hypothesis of environmental acquisition from a local source. Further analysis identified strain-specific genes that confirmed the strain's regional specificity and virulence. The patient succumbed to the infection despite the isolate being susceptible to the antimicrobials used for melioidosis, and the lack of correlation with antimicrobial resistance gene mutations suggests that treatment failure was not due to resistance. The fatal outcome may have resulted from a delay in initiating effective treatment, leading to the disease progression.
Conclusion
This study highlights the effectiveness of WGS in tracing B. pseudomallei infections, which could guide improved diagnostics to enhance melioidosis patient management and treatment outcomes.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .