Infectious Diseases - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 6 of 6
  • Item
    Thumbnail Image
    State-wide genomic epidemiology investigations of COVID-19 in healthcare workers in 2020 Victoria, Australia: Qualitative thematic analysis to provide insights for future pandemic preparedness
    E. Watt, A ; L. Sherry, N ; Andersson, P ; Lane, CR ; Johnson, S ; Wilmot, M ; Horan, K ; Sait, M ; Ballard, SA ; Crachi, C ; Beck, DJ ; Marshall, C ; Kainer, MA ; Stuart, R ; McGrath, C ; Kwong, JC ; Bass, P ; Kelley, PG ; Crowe, A ; Guy, S ; Macesic, N ; Smith, K ; Williamson, DA ; Seemann, T ; Howden, BP (ELSEVIER, 2022-08)
    BACKGROUND: COVID-19 has affected many healthcare workers (HCWs) globally. We performed state-wide SARS-CoV-2 genomic epidemiological investigations to identify HCW transmission dynamics and provide recommendations to optimise healthcare system preparedness for future outbreaks. METHODS: Genome sequencing was attempted on all COVID-19 cases in Victoria, Australia. We combined genomic and epidemiologic data to investigate the source of HCW infections across multiple healthcare facilities (HCFs) in the state. Phylogenetic analysis and fine-scale hierarchical clustering were performed for the entire dataset including community and healthcare cases. Facilities provided standardised epidemiological data and putative transmission links. FINDINGS: Between March-October 2020, approximately 1,240 HCW COVID-19 infection cases were identified; 765 are included here, requested for hospital investigations. Genomic sequencing was successful for 612 (80%) cases. Thirty-six investigations were undertaken across 12 HCFs. Genomic analysis revealed that multiple introductions of COVID-19 into facilities (31/36) were more common than single introductions (5/36). Major contributors to HCW acquisitions included mobility of staff and patients between wards and facilities, and characteristics and behaviours of patients that generated numerous secondary infections. Key limitations at the HCF level were identified. INTERPRETATION: Genomic epidemiological analyses enhanced understanding of HCW infections, revealing unsuspected clusters and transmission networks. Combined analysis of all HCWs and patients in a HCF should be conducted, supported by high rates of sequencing coverage for all cases in the population. Established systems for integrated genomic epidemiological investigations in healthcare settings will improve HCW safety in future pandemics. FUNDING: The Victorian Government, the National Health and Medical Research Council Australia, and the Medical Research Future Fund.
  • Item
    Thumbnail Image
    Genomic diversity of antimicrobial resistance in non- typhoidal Salmonella in Victoria, Australia
    Sia, CM ; Baines, SL ; Valcanis, M ; Lee, DYJ ; da Silva, AG ; Ballard, SA ; Easton, M ; Seemann, T ; Howden, BP ; Ingle, DJ ; Williamson, DA (MICROBIOLOGY SOC, 2021-12)
    Non-typhoidal Salmonella (NTS) is the second most common cause of foodborne bacterial gastroenteritis in Australia with antimicrobial resistance (AMR) increasing in recent years. Whole-genome sequencing (WGS) provides opportunities for in silico detection of AMR determinants. The objectives of this study were two-fold: (1) establish the utility of WGS analyses for inferring phenotypic resistance in NTS, and (2) explore clinically relevant genotypic AMR profiles to third generation cephalosporins (3GC) in NTS lineages. The concordance of 2490 NTS isolates with matched WGS and phenotypic susceptibility data against 13 clinically relevant antimicrobials was explored. In silico serovar prediction and typing was performed on assembled reads and interrogated for known AMR determinants. The surrounding genomic context, plasmid determinants and co-occurring AMR patterns were further investigated for multidrug resistant serovars harbouring bla CMY-2, bla CTX-M-55 or bla CTX-M-65. Our data demonstrated a high correlation between WGS and phenotypic susceptibility testing. Phenotypic-genotypic concordance was observed between 2440/2490 (98.0 %) isolates, with overall sensitivity and specificity rates >98 % and positive and negative predictive values >97 %. The most common AMR determinants were bla TEM-1, sul2, tet(A), strA-strB and floR. Phenotypic resistance to cefotaxime and azithromycin was low and observed in 6.2 % (151/2486) and 0.9 % (16/1834) of the isolates, respectively. Several multi-drug resistant NTS lineages were resistant to 3GC due to different genetic mechanisms including bla CMY-2, bla CTX-M-55 or bla CTX-M-65. This study shows WGS can enhance existing AMR surveillance in NTS datasets routinely produced in public health laboratories to identify emerging AMR in NTS. These approaches will be critical for developing capacity to detect emerging public health threats such as resistance to 3GC.
  • Item
    Thumbnail Image
    AusTrakka: Fast-tracking nationalized genomics surveillance in response to the COVID-19 pandemic
    Hoang, T ; da Silva, AG ; Jennison, A ; Williamson, DA ; Howden, BP ; Seemann, T (NATURE PORTFOLIO, 2022-02-14)
    The COVID-19 pandemic has driven demand for integrated genomics, resulting in fast-tracked development of AusTrakka, Australia’s pathogen genomics platform. This facilitated rapid data sharing, democratised access to computational and bioinformatic resources and expertise, and achieved national real-time genomic surveillance.
  • Item
    Thumbnail Image
    Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings
    Higgs, C ; Sherry, NL ; Seemann, T ; Horan, K ; Walpola, H ; Kinsella, P ; Bond, K ; Williamson, DA ; Marshall, C ; Kwong, JC ; Grayson, ML ; Stinear, TP ; Gorrie, CL ; Howden, BP (NATURE PORTFOLIO, 2022-01-26)
    Vancomycin-resistant Enterococcus faecium (VREfm) is a major nosocomial pathogen. Identifying VREfm transmission dynamics permits targeted interventions, and while genomics is increasingly being utilised, methods are not yet standardised or optimised for accuracy. We aimed to develop a standardized genomic method for identifying putative VREfm transmission links. Using comprehensive genomic and epidemiological data from a cohort of 308 VREfm infection or colonization cases, we compared multiple approaches for quantifying genetic relatedness. We showed that clustering by core genome multilocus sequence type (cgMLST) was more informative of population structure than traditional MLST. Pairwise genome comparisons using split k-mer analysis (SKA) provided the high-level resolution needed to infer patient-to-patient transmission. The more common mapping to a reference genome was not sufficiently discriminatory, defining more than three times more genomic transmission events than SKA (3729 compared to 1079 events). Here, we show a standardized genomic framework for inferring VREfm transmission that can be the basis for global deployment of VREfm genomics into routine outbreak detection and investigation.
  • Item
    Thumbnail Image
    Daptomycin Resistance Occurs Predominantly in vanA-Type Vancomycin-Resistant Enterococcus faecium in Australasia and Is Associated With Heterogeneous and Novel Mutations
    Li, L ; Higgs, C ; Turner, AM ; Nong, Y ; Gorrie, CL ; Sherry, NL ; Dyet, KH ; Seemann, T ; Williamson, DA ; Stinear, TP ; Howden, BP ; Carter, GP (FRONTIERS MEDIA SA, 2021-10-20)
    Healthcare associated infections caused by vancomycin-resistant Enterococcus faecium (VREfm) have a major impact on health outcomes. VREfm is difficult to treat because of intrinsic and acquired resistance to many clinically used antimicrobials, with daptomycin being one of the few last line therapeutic options for treating multidrug-resistant VREfm. The emergence of daptomycin-resistant VREfm is therefore of serious clinical concern. Despite this, the impact that daptomycin-resistant VREfm have on patient health outcomes is not clearly defined and knowledge on the mechanisms and genetic signatures linked with daptomycin resistance in VREfm remains incomplete. To address these knowledge gaps, phenotypic daptomycin susceptibility testing was undertaken on 324 E. faecium isolates from Australia and New Zealand. Approximately 15% of study isolates were phenotypically resistant to daptomycin. Whole genome sequencing revealed a strong association between vanA-VREfm and daptomycin resistance, with 95% of daptomycin-resistant study isolates harbouring vanA. Genomic analyses showed that daptomycin-resistant VREfm isolates were polyclonal and carried several previously characterised mutations in the liaR and liaS genes as well as several novel mutations within the rpoB, rpoC, and dltC genes. Overall, 70% of daptomycin-resistant study isolates were found to carry mutations within the liaR, rpoB, rpoC, or dltC genes. Finally, in a mouse model of VREfm bacteraemia, infection with the locally dominant daptomycin-resistant clone led to reduced daptomycin treatment efficacy in comparison to daptomycin-susceptible E. faecium. These findings have important implications for ongoing VREfm surveillance activities and the treatment of VREfm infections.
  • Item
    Thumbnail Image
    Incursions of Candida auris into Australia, 2018
    Lane, CR ; Seemann, T ; Worth, LJ ; Easton, M ; Pitchers, W ; Wong, J ; Cameron, D ; Azzato, F ; Bartolo, R ; Mateevici, C ; Marshall, C ; Slavin, MA ; Howden, BP ; Williamson, DA (CENTERS DISEASE CONTROL & PREVENTION, 2020-06)
    Candida auris is an emerging global healthcare-associated pathogen. During July-December 2018, four patients with C. auris were identified in Victoria, Australia, all with previous overseas hospitalization. Phylogenetic analysis revealed putative transmission between 2 patients and suspected overseas acquisition in the others. Vigilant screening of at-risk patients is required.