Can immuno-PCR (IPCR) transform bacterial disease diagnostics?
File(s)
Author(s)
Ashmi, Marcia
He, Changchunzi
Drobniewski, Francis
Type
Journal Article
Abstract
Introduction
Approximately 15 million deaths occur globally each year due to infectious diseases. Timely diagnosis is crucial in promoting cure and preventing disease transmission. Currently, molecular diagnostics have replaced many conventional diagnostic tools due to their inherent limitations. However, the full potential of Immuno Polymerase Chain Reaction (IPCR) remains largely untapped.
Areas covered
This review focuses on the use of IPCR in the diagnosis of different bacterial diseases, highlighting its advantages over traditional methods.
Expert Opinion
Early and accurate diagnosis of infectious diseases is crucial because it enhances treatment effectiveness, reduces morbidity and mortality, helps identify potential causes of sepsis earlier, and reduces the risk of unknowingly spreading the disease to others. IPCR in turn has shown promise for the early diagnosis of bacterial diseases as an alternative to conventional culture-based or serological diagnostic assays leading to delayed diagnosis and treatment. IPCR has the potential to revolutionize the diagnostic field due to its increased sensitivity and specificity. Although efforts are needed to reduce the time of the assay and to reduce background noise, IPCR can be combined with other platforms like lateral flow assay/biosensors/automation to improve its use as a point-of-care assay, especially in resource-limited settings.
Approximately 15 million deaths occur globally each year due to infectious diseases. Timely diagnosis is crucial in promoting cure and preventing disease transmission. Currently, molecular diagnostics have replaced many conventional diagnostic tools due to their inherent limitations. However, the full potential of Immuno Polymerase Chain Reaction (IPCR) remains largely untapped.
Areas covered
This review focuses on the use of IPCR in the diagnosis of different bacterial diseases, highlighting its advantages over traditional methods.
Expert Opinion
Early and accurate diagnosis of infectious diseases is crucial because it enhances treatment effectiveness, reduces morbidity and mortality, helps identify potential causes of sepsis earlier, and reduces the risk of unknowingly spreading the disease to others. IPCR in turn has shown promise for the early diagnosis of bacterial diseases as an alternative to conventional culture-based or serological diagnostic assays leading to delayed diagnosis and treatment. IPCR has the potential to revolutionize the diagnostic field due to its increased sensitivity and specificity. Although efforts are needed to reduce the time of the assay and to reduce background noise, IPCR can be combined with other platforms like lateral flow assay/biosensors/automation to improve its use as a point-of-care assay, especially in resource-limited settings.
Date Issued
2024-10-09
Date Acceptance
2024-10-03
Citation
Expert Review of Molecular Diagnostics: new diagnostic technologies are set to revolutionise healthcare, 2024, 10 (10), pp.927-936
ISSN
1473-7159
Publisher
Taylor and Francis Group
Start Page
927
End Page
936
Journal / Book Title
Expert Review of Molecular Diagnostics: new diagnostic technologies are set to revolutionise healthcare
Volume
10
Issue
10
Copyright Statement
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/),
which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/),
which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Identifier
http://dx.doi.org/10.1080/14737159.2024.2413556
Publication Status
Published
Date Publish Online
2024-10-09
