Glycoprotein- and lectin-based approaches for detection of pathogens
Glycoprotein- and lectin-based approaches for detection of pathogens
Infectious diseases alone are estimated to result in approximately 40% of the 50 million total annual deaths globally. The importance of basic research in the control of emerging and re-emerging diseases cannot be overemphasized. However, new nanotechnology-based methodologies exploiting unique surface-located glycoproteins or their patterns can be exploited to detect pathogens at the point of use or on-site with high specificity and sensitivity. These technologies will, therefore, affect our ability in the future to more accurately assess risk. The critical challenge is making these new methodologies cost-effective, as well as simple to use, for the diagnostics industry and public healthcare providers. Miniaturization of biochemical assays in lab-on-a-chip devices has emerged as a promising tool. Miniaturization has the potential to shape modern biotechnology and how point-of-care testing of infectious diseases will be performed by developing smart microdevices that require minute amounts of sample and reagents and are cost-effective, robust, and sensitive and specific. The current review provides a short overview of some of the futuristic approaches using simple molecular interactions between glycoproteins and glycoprotein-binding molecules for the efficient and rapid detection of various pathogens at the point of use, advancing the emerging field of glyconanodiagnostics.
Biosensors, Diagnostics, Glycoproteins, Lectins, Miniaturization, Nanotechnology, Pathogens
1-21
Hassan, Sammer-ul
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Donia, Ahmed
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Sial, Usman
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Zhang, Xunli
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Bokhari, Habib
1c3a1e18-4570-4a10-9feb-cea4218a275f
September 2020
Hassan, Sammer-ul
8a5ae3f1-3451-4093-879e-85f40953da8b
Donia, Ahmed
06fe19f6-6d02-485d-ad53-6f9b006129e8
Sial, Usman
6dd609ab-8d8f-4c1f-9bae-6a05ea148ed0
Zhang, Xunli
d7cf1181-3276-4da1-9150-e212b333abb1
Bokhari, Habib
1c3a1e18-4570-4a10-9feb-cea4218a275f
Hassan, Sammer-ul, Donia, Ahmed, Sial, Usman, Zhang, Xunli and Bokhari, Habib
(2020)
Glycoprotein- and lectin-based approaches for detection of pathogens.
Pathogens, 9 (9), , [694].
(doi:10.3390/pathogens9090694).
Abstract
Infectious diseases alone are estimated to result in approximately 40% of the 50 million total annual deaths globally. The importance of basic research in the control of emerging and re-emerging diseases cannot be overemphasized. However, new nanotechnology-based methodologies exploiting unique surface-located glycoproteins or their patterns can be exploited to detect pathogens at the point of use or on-site with high specificity and sensitivity. These technologies will, therefore, affect our ability in the future to more accurately assess risk. The critical challenge is making these new methodologies cost-effective, as well as simple to use, for the diagnostics industry and public healthcare providers. Miniaturization of biochemical assays in lab-on-a-chip devices has emerged as a promising tool. Miniaturization has the potential to shape modern biotechnology and how point-of-care testing of infectious diseases will be performed by developing smart microdevices that require minute amounts of sample and reagents and are cost-effective, robust, and sensitive and specific. The current review provides a short overview of some of the futuristic approaches using simple molecular interactions between glycoproteins and glycoprotein-binding molecules for the efficient and rapid detection of various pathogens at the point of use, advancing the emerging field of glyconanodiagnostics.
Text
pathogens-09-00694
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More information
Accepted/In Press date: 19 August 2020
e-pub ahead of print date: 24 August 2020
Published date: September 2020
Additional Information:
Funding Information:
Funding: This work was supported by Economic Social Science Research Council, grant number ES/S000208/1.
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords:
Biosensors, Diagnostics, Glycoproteins, Lectins, Miniaturization, Nanotechnology, Pathogens
Identifiers
Local EPrints ID: 443446
URI: http://eprints.soton.ac.uk/id/eprint/443446
ISSN: 2076-0817
PURE UUID: 7b256c06-1513-4272-a588-a3777dc301d7
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Date deposited: 26 Aug 2020 16:33
Last modified: 06 Jun 2024 01:45
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Author:
Ahmed Donia
Author:
Usman Sial
Author:
Habib Bokhari
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