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

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

Medical Laboratory Sciences

Research output: Contribution to journal › Review article › peer-review

77 Scopus citations

Abstract

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.

Original language	English
Article number	3246
Journal	Diagnostics
Volume	13
Issue number	20
DOIs	https://doi.org/10.3390/diagnostics13203246
State	Published - Oct 2023

Keywords

PCR
antibiotic-resistant bacteria
antimicrobial resistance (AMR)
aptamers
biosensors

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10.3390/diagnostics13203246

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Yamin, D., Uskoković, V., Wakil, A. M., Goni, M. D., Shamsuddin, S. H., Mustafa, F. H., Alfouzan, W. A., Alissa, M., Alshengeti, A., Almaghrabi, R. H., Fares, M. A. A., Garout, M., Al Kaabi, N. A., Alshehri, A. A., Ali, H. M., Rabaan, A. A., Aldubisi, F. A., Yean, C. Y., & Yusof, N. Y. (2023). Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria. Diagnostics, 13(20), Article 3246. https://doi.org/10.3390/diagnostics13203246

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title = "Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria",

abstract = "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.",

keywords = "PCR, antibiotic-resistant bacteria, antimicrobial resistance (AMR), aptamers, biosensors",

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

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

year = "2023",

month = oct,

doi = "10.3390/diagnostics13203246",

language = "English",

volume = "13",

journal = "Diagnostics",

issn = "2075-4418",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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Yamin, D, Uskoković, V, Wakil, AM, Goni, MD, Shamsuddin, SH, Mustafa, FH, Alfouzan, WA, Alissa, M, Alshengeti, A, Almaghrabi, RH, Fares, MAA, Garout, M, Al Kaabi, NA, Alshehri, AA, Ali, HM, Rabaan, AA, Aldubisi, FA, Yean, CY & Yusof, NY 2023, 'Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria', Diagnostics, vol. 13, no. 20, 3246. https://doi.org/10.3390/diagnostics13203246

TY - JOUR

T1 - Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria

AU - Yamin, Dina

AU - Uskoković, Vuk

AU - Wakil, Abubakar Muhammad

AU - Goni, Mohammed Dauda

AU - Shamsuddin, Shazana Hilda

AU - Mustafa, Fatin Hamimi

AU - Alfouzan, Wadha A.

AU - Alissa, Mohammed

AU - Alshengeti, Amer

AU - Almaghrabi, Rana H.

AU - Fares, Mona A.Al

AU - Garout, Mohammed

AU - Al Kaabi, Nawal A.

AU - Alshehri, Ahmad A.

AU - Ali, Hamza M.

AU - Rabaan, Ali A.

AU - Aldubisi, Fatimah Abdullah

AU - Yean, Chan Yean

AU - Yusof, Nik Yusnoraini

PY - 2023/10

Y1 - 2023/10

N2 - 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.

AB - 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.

KW - PCR

KW - antibiotic-resistant bacteria

KW - antimicrobial resistance (AMR)

KW - aptamers

KW - biosensors

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U2 - 10.3390/diagnostics13203246

DO - 10.3390/diagnostics13203246

M3 - Review article

AN - SCOPUS:85175445629

SN - 2075-4418

VL - 13

JO - Diagnostics

JF - Diagnostics

IS - 20

M1 - 3246

ER -

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

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Keywords

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