Investigation of Antimicrobial Resistance Genes in Listeria monocytogenes from 2010 through to 2021

Robert M. Hanes and Zuyi Huang
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Robert M. Hanes: Department of Chemical Engineering, Villanova University, Villanova, PA 19085, USA
Zuyi Huang: Department of Chemical Engineering, Villanova University, Villanova, PA 19085, USA

IJERPH, 2022, vol. 19, issue 9, 1-14

Abstract: Antimicrobial resistance (AMR) is a serious public health issue. Due to resistance to current antibiotics and a low rate of development of new classes of antimicrobials, AMR is a leading cause of death worldwide. Listeria monocytogenes is a deadly foodborne pathogen that causes listeriosis for the immunocompromised, the elderly, and pregnant women. Unfortunately, antimicrobial resistance has been reported in L. monocytogenes . This study conducted the first comprehensive statistical analysis of L. monocytogenes isolate data from the National Pathogen Detection Isolate Browser (NPDIB) to identify the trends for AMR genes in L. monocytogenes . Principal component analysis was firstly used to project the multi-dimensional data into two dimensions. Hierarchical clustering was then used to identify the significant AMR genes found in L. monocytogenes samples and to assess changes during the period from 2010 through to 2021. Statistical analysis of the data identified fosX , lin , abc-f , and tet ( M ) as the four most common AMR genes found in L. monocytogenes . It was determined that there was no increase in AMR genes during the studied time period. It was also observed that the number of isolates decreased from 2016 to 2020. This study establishes a baseline for the ongoing monitoring of L. monocytogenes for AMR genes.

Keywords: antimicrobial resistance; Listeria monocytogenes; listeriosis; principal component analysis; hierarchical clustering (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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