Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria

Dina Yamin; Vuk Uskoković; Abubakar Muhammad Wakil; Mohammed Dauda Goni; Shazana Hilda Shamsuddin; Fatin Hamimi Mustafa; Wadha A. Alfouzan; Mohammed Alissa; Amer Alshengeti; Rana H. Almaghrabi; Mona A. Al Fares; Mohammed Garout; Nawal A. Al Kaabi; Ahmad A. Alshehri; Hamza M. Ali; Ali A. Rabaan; Fatimah Abdullah Aldubisi; Chan Yean Yean; Nik Yusnoraini Yusof

doi:10.3390/diagnostics13203246

Diagnostics (Oct 2023)

Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria

Dina Yamin,
Vuk Uskoković,
Abubakar Muhammad Wakil,
Mohammed Dauda Goni,
Shazana Hilda Shamsuddin,
Fatin Hamimi Mustafa,
Wadha A. Alfouzan,
Mohammed Alissa,
Amer Alshengeti,
Rana H. Almaghrabi,
Mona A. Al Fares,
Mohammed Garout,
Nawal A. Al Kaabi,
Ahmad A. Alshehri,
Hamza M. Ali,
Ali A. Rabaan,
Fatimah Abdullah Aldubisi,
Chan Yean Yean,
Nik Yusnoraini Yusof

Affiliations

Dina Yamin: Al-Karak Public Hospital, Karak 61210, Jordan
Vuk Uskoković: TardigradeNano LLC., Irvine, CA 92604, USA
Abubakar Muhammad Wakil: Department of Veterinary Clinical Studies, Faculty of Veterinary Medicine, University Malaysia Kelantan, Kota Bharu 16100, Kelantan, Malaysia
Mohammed Dauda Goni: Public Health and Zoonoses Research Group, Faculty of Veterinary Medicine, University Malaysia Kelantan, Pengkalan Chepa 16100, Kelantan, Malaysia
Shazana Hilda Shamsuddin: Department of Pathology, School of Medical Sciences, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia
Fatin Hamimi Mustafa: Department of Electronic & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bharu 81310, Johor, Malaysia
Wadha A. Alfouzan: Department of Microbiology, Faculty of Medicine, Kuwait University, Safat 13110, Kuwait
Mohammed Alissa: Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Amer Alshengeti: Department of Pediatrics, College of Medicine, Taibah University, Al-Madinah 41491, Saudi Arabia
Rana H. Almaghrabi: Pediatric Department, Prince Sultan Medical Military City, Riyadh 12233, Saudi Arabia
Mona A. Al Fares: Department of Internal Medicine, King Abdulaziz University Hospital, Jeddah 21589, Saudi Arabia
Mohammed Garout: Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia
Nawal A. Al Kaabi: College of Medicine and Health Science, Khalifa University, Abu Dhabi 127788, United Arab Emirates
Ahmad A. Alshehri: Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Najran University, Najran 61441, Saudi Arabia
Hamza M. Ali: Department of Medical Laboratories Technology, College of Applied Medical Sciences, Taibah University, Madinah 41411, Saudi Arabia
Ali A. Rabaan: College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
Fatimah Abdullah Aldubisi: Pediatrics Department, Riyadh Second Health Cluster, Riyadh 13245, Saudi Arabia
Chan Yean Yean: Department of Medical Microbiology & Parasitology, School of Medical Sciences, University Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
Nik Yusnoraini Yusof: Institute for Research in Molecular Medicine, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia

DOI: https://doi.org/10.3390/diagnostics13203246
Journal volume & issue: Vol. 13, no. 20
p. 3246

Abstract

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Antibiotic resistance is a global public health concern, posing a significant threat to the effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection of antibiotic-resistant bacteria is crucial for implementing appropriate treatment strategies and preventing the spread of resistant strains. This manuscript provides an overview of the current and emerging technologies used for the detection of antibiotic-resistant bacteria. We discuss traditional culture-based methods, molecular techniques, and innovative approaches, highlighting their advantages, limitations, and potential future applications. By understanding the strengths and limitations of these technologies, researchers and healthcare professionals can make informed decisions in combating antibiotic resistance and improving patient outcomes.

Published in Diagnostics

ISSN: 2075-4418 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Medicine: Medicine (General)
Website: http://www.mdpi.com/journal/diagnostics

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