Peter Myintzaw

Dr. Peter Myintzaw

Biological sciences, Munster Technological University, Cork, Ireland
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orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 July 2021 in Food Reviews International
Verified
Journal Article
Open access
Peter MyintzawPeter Myintzaw
Peter Myintzaw
Amit K. JaiswalAmit K. Jaiswal
Amit K. Jaiswal
Swarna JaiswalSwarna Jaiswal
Swarna Jaiswal
The incident of Campylobacteriosis rate remains high in both the developed and developing world. Recent research showed that the handling, preparation, and consumption of poultry meat is the consequential root of the campylobacteriosis occurrence. The consumers play a crucial role in the last line of defence against Campylobacteriosis. Habitually, consumers handle the food as they please in a domestic setting depending on the probable risk they perceived. Therefore, consumers’ food handling practices are the plausible risk factors that indicate exposure to this foodborne illness. Symptoms are commonly mild and denoted by diarrhoea, fever, nausea, abdominal pain, malaise, and vomiting. However, in some cases campylobacteriosis can be asymptomatic carriage stage yet the infection is associated with long-term sequelae, in particular, Guillain-Barré Syndrome (GBS), Reactive Arthritis (RA) and irritable bowel syndrome (IBS). Thus, the burden of the disease tremendously impacts on economy and victim’s living life with long-term disability. This review presents an updated overview of the global epidemiology, the relevance of official control, the disease associated with food handler and the importance of food safety with respect to Campylobacteriosis.

17 June 2023 in Microorganisms
Verified
Journal Article
Open access
PDF file
Peter MyintzawPeter Myintzaw
Peter Myintzaw
Vincenzo PennoneVincenzo Pennone
Vincenzo Pennone
OMOlivia McAuliffe
Olivia McAuliffe
MBMáire Begley
Máire Begley
MCMichael Callanan
Michael Callanan
Precise classification of foodborne pathogen Listeria monocytogenes is a necessity in efficient foodborne disease surveillance, outbreak detection, and source tracking throughout the food chain. In this study, a total of 150 L. monocytogenes isolates from various food products, food processing environments, and clinical sources were investigated for variations in virulence, biofilm formation, and the presence of antimicrobial resistance genes based on their Whole-Genome Sequences. Clonal complex (CC) determination based on Multi-Locus Sequence Typing (MLST) revealed twenty-eight CC-types including eight isolates representing novel CC-types. The eight isolates comprising the novel CC-types share the majority of the known (cold and acid) stress tolerance genes and are all genetic lineage II, serogroup 1/2a-3a. Pan-genome-wide association analysis by Scoary using Fisher’s exact test identified eleven genes specifically associated with clinical isolates. Screening for the presence of antimicrobial and virulence genes using the ABRicate tool uncovered variations in the presence of Listeria Pathogenicity Islands (LIPIs) and other known virulence genes. Specifically, the distributions of actA, ecbA, inlF, inlJ, lapB, LIPI-3, and vip genes across isolates were found to be significantly CC-dependent while the presence of ami, inlF, inlJ, and LIPI-3 was associated with clinical isolates specifically. In addition, Roary-derived phylogenetic grouping based on Antimicrobial-Resistant Genes (AMRs) revealed that the thiol transferase (FosX) gene was present in all lineage I isolates, and the presence of the lincomycin resistance ABC-F-type ribosomal protection protein (lmo0919_fam) was also genetic-lineage-dependent. More importantly, the genes found to be specific to CC-type were consistent when a validation analysis was performed with fully assembled, high-quality complete L. monocytogenes genome sequences (n = 247) extracted from the National Centre for Biotechnology Information (NCBI) microbial genomes database. This work highlights the usefulness of MLST-based CC typing using the Whole-Genome Sequence as a tool in classifying isolates.

31 March 2020 in Journal of Food Safety
Verified
Journal Article
Closed access
PDF file
Peter MyintzawPeter Myintzaw
Peter Myintzaw
FMFintan Moran
Fintan Moran
Amit K. JaiswalAmit K. Jaiswal
Amit K. Jaiswal

14 February 2022 in Food Microbiology
Verified
Journal Article
Closed access
Peter MyintzawPeter Myintzaw
Peter Myintzaw
Vincenzo PennoneVincenzo Pennone
Vincenzo Pennone
OMOlivia McAuliffe
Olivia McAuliffe
MBMáire Begley
Máire Begley
MCMichael Callanan
Michael Callanan

20 October 2022 in Food Control
Verified
Journal Article
Open access
Peter MyintzawPeter Myintzaw
Peter Myintzaw
NJNicholas Brian Johnson
Nicholas Brian Johnson
MBMáire Begley
Máire Begley
MCMichael Callanan
Michael Callanan

26 December 2022 in Microorganisms
Verified
Journal Article
Open access
PDF file
Peter MyintzawPeter Myintzaw
Peter Myintzaw
Vincenzo PennoneVincenzo Pennone
Vincenzo Pennone
OMOlivia McAuliffe
Olivia McAuliffe
MBMáire Begley
Máire Begley
MCMichael Callanan
Michael Callanan
The aim of this study was to investigate the level of strain variability amongst food and clinical Listeria monocytogenes isolates growing at low temperatures (4 and 7 °C) in both laboratory media and real food matrices. Isolates (n = 150) grown in laboratory media demonstrated a large variation in growth profiles measured using optical density. Overall, it was noted that clinical isolates exhibited a significantly higher growth rate (p ≤ 0.05) at 7 °C than the other isolates. Analysis of variance (ANOVA) tests of isolates grouped using Multi Locus Sequence Typing (MLST) revealed that clonal complex 18 (CC18) isolates were significantly (p ≤ 0.05) faster growing at 4 °C than other CC-type isolates while CC101, CC18, CC8, CC37 and CC14 were faster growing than other CC types at 7 °C. Euclidean distance and Ward method-based hierarchical clustering of mean growth rates classified 33.33% of isolates as faster growing. Fast and slow growing representative isolates were selected from the cluster analysis and growth rates were determined using plate count data in laboratory media and model food matrices. In agreement with the optical density experiments, CC18 isolates were faster and CC121 isolates were slower than other CC types in laboratory media, UHT milk and fish pie. The same trend was observed in chocolate milk but the differences were not statistically significant. Moreover, pan-genome analysis (Scoary) of isolate genome sequences only identified six genes of unknown function associated with increased cold tolerance while failing to identify any known cold tolerance genes. Overall, an association that was consistent in laboratory media and real food matrices was demonstrated between isolate CC type and increased cold tolerance.