Molecular Detection of mecA Gene in Methicillin Resistant Staphylococcus aureus Isolated from Surfaces of some Public Hospitals in Katsina State, Nigeria

Author:

Sunusi A AORCID,Dangari M AORCID,Salihu M KORCID,Ado AminuORCID

Abstract

The increasing rate of antibiotic resistance demonstrated by bacterial pathogens is an emerging problem that is considered a major health concern globally, especially in low-and middle-income countries. The aim of this study is to determine the prevalence of Methicillin Resistant Staphylococcus aureus from hospital environment and to detect the presence of resistance genes in the MRSA isolates. One hundred and ninety-two (192) swab samples of doorknob, bedrail, table tops and drip stand were collected from 4 hospitals within Dutsin-Ma and Kurfi local government. Antibiotic Susceptibility testing and phenotypic detection of MRSA were conducted using disc diffusion method.  MecA gene was detected using Polymerase Chain Reaction. One hundred and eleven 111(57.8%) out of 192 samples were positive for S. aureus. The result showed that cefoxitin was the most effective antibiotic (66.6%) against the isolates from all the four hospitals while erythromycin was the less effective against the isolates (35.1%).  A total of six (5.40%) Methicillin Resistant S. aureus and MDR (12.61%) were detected from the four hospitals. In conclusion, all the four hospitals were found to be contaminated with Methicillin resistant S. aureus, with Kurfi General Hospital having the highest number of MRSA (3). Out of the 6 phenotypically detected isolates of MRSA screened, mecA gene was detected in five (5) isolates. It is recommended that, proper hygiene practice should be improved in the healthcare settings, and proper use of antibiotics should be highly encouraged among individuals in both community and hospital.

Publisher

Umaru Musa YarAdua University Katsina NG

Reference31 articles.

1. Adam, A. S., Lisa, M., Sarah, K. O., Ibrahim, N., Adamu, A. A., & Alice, N. (2020). Antibiotic Susceptibility Pattern and Detection of mecA Gene in Methicillin resistant Staphylococcus epidermidis Isolated from Wards Surfaces of Kampala International University Teaching Hospital, Uganda. Romanian Archives of Microbiology and Immunology, 79(1), 24-36

2. Aliyu, Y., Reuben, R.C., Abdullahi, I.O., Olayinka, B.O., & Abdullahi, M.S. (2022). A systematic review on the prevalence of multidrug-resistant Staphylococcus aureus from milk and milk products in Nigeria. PAMJ -One Health.,7(15), 212-216. https://doi.org/10.11604/pamj-oh.2022.7.15.29118

3. Aliyu, A., Junaidu, K., Bello, M., and Busayo, O. (2022). Correlation between Genetic resistance factors and the antibiotics resistance phenotypes in MRSA isolates of Animals and Humans. Journal of Applied Microbiology, 2(3), 231- 245

4. Allegranzi, B. J., Pittet, D. (2019). Role of hand hygiene in healthcare-associated infection prevention. J Hosp Infection, 7(3), 305-315. https://doi.org/10.1016/j.jhin.2009.04.019

5. Amita, J. A., Agarwal, K. V. (2018). Cefoxitin disc dif- fusion test for detection of meticillin-resistant staphylococci. Journal of Medical Microbiology, 57, 957–961. https://doi.org/10.1099/jmm.0.47152-0

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3