IDEAS home Printed from https://ideas.repec.org/a/epw/ejbio0/v1y2020i4id17051.html

Phenotypic Determination of Biofilm Formation and Acquired Resistance Profile of Clinically-Derived Bacterial Isolates

Author

Listed:
  • Muhammad M Ibrahim

    (University of Maiduguri, Nigeria)

  • Abubakar Shettima

    (University of Maiduguri, Nigeria)

  • Ibrahim Y. Ngoshe

    (University of Maiduguri, Nigeria)

  • Musa Ibn Abbas

    (University of Maiduguri, Nigeria)

  • Hauwa S. Bello

    (University of Maiduguri, Nigeria)

  • Askira M. Umoru

    (University of Maiduguri, Nigeria)

  • Tom M. Isyaka

    (University of Maiduguri, Nigeria)

Abstract

Infections caused by biofilm forming bacteria is of major public health concern because of its association with multi-resistance to antimicrobial drugs and host defenses, leading to chronic and recurrent infections. Here, using Congo red agar method, Kirby-bauer disk diffusion technique and the consensus criteria of the European Centre for Disease Control (ECDC) and Centre for Disease Control (CDC), we determined the acquired resistance profile of biofilm producing phenotypes of clinically derived bacteria, classified as Multidrug resistant (MDR), extensively drug resistant (XDR) and Pandrug resistant (PDR). Fifty (50) de-identified bacterial isolates, comprising of five different species (Staphylococcus aureus, Escherichia coli, Proteus spp, Klebsiella pneumoniae and Pseudomonas aeruginosa) were sampled for the study. 64.0% of these isolates were observed to produce biofilms. Isolates recovered from urine samples (50.0%) were the most significant biofilm producers, chief among which was Staphylococcus aureus (15.6%) (X2=0.52; p

Suggested Citation

Handle: RePEc:epw:ejbio0:v:1:y:2020:i:4:id:17051
DOI: 10.24018/ejbio.2020.1.4.51
as

Download full text from publisher

File URL: https://eu-opensci.org/index.php/ejbio/article/view/17051
File Function: Abstract page
Download Restriction: no
File URL: https://eu-opensci.org/index.php/ejbio/article/download/17051/4112
File Function: Full text
Download Restriction: no
File URL: https://libkey.io/10.24018/ejbio.2020.1.4.51?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

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:epw:ejbio0:v:1:y:2020:i:4:id:17051. 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.

We have no bibliographic references for this item. You can help adding them by using 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbio .

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.