IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i9p5506-d807213.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Robert M. Hanes & Zuyi Huang, 2022. "Investigation of Antimicrobial Resistance Genes in Listeria monocytogenes from 2010 through to 2021," IJERPH, MDPI, vol. 19(9), pages 1-14, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5506-:d:807213
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/9/5506/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/9/5506/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Katherine Yang & Annie Wang & Matthew Fu & Aaron Wang & Kevin Chen & Qian Jia & Zuyi Huang, 2020. "Investigation of Incidents and Trends of Antimicrobial Resistance in Foodborne Pathogens in Eight Countries from Historical Sample Data," IJERPH, MDPI, vol. 17(2), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5506-:d:807213. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.