Molecular diagnostic assays for the detection of common bacterial meningitis pathogens: a narrative review
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Published version
Author(s)
Type
Journal Article
Abstract
Bacterial meningitis is a major global cause of morbidity and mortality. Rapid identification of the aetiological agent of meningitis is essential for clinical and public health management and disease prevention given the wide range of pathogens that cause the clinical syndrome and the availability of vaccines that protect against some, but not all, of these. Since microbiological culture is complex, slow, and often impacted by prior antimicrobial treatment of the patient, molecular diagnostic assays have been developed for bacterial detection. Distinguishing between meningitis caused by Neisseria meningitidis (meningococcus), Streptococcus pneumoniae (pneumococcus), Haemophilus influenzae, and Streptococcus agalactiae and identifying their polysaccharide capsules is especially important. Here, we review methods used in the identification of these bacteria, providing an up-to-date account of available assays, allowing clinicians and diagnostic laboratories to make informed decisions about which assays to use.
Date Issued
2021-03-01
Date Acceptance
2021-02-22
Citation
EBioMedicine, 2021, 65
ISSN
2352-3964
Publisher
Elsevier
Journal / Book Title
EBioMedicine
Volume
65
Copyright Statement
© 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
License URL
Sponsor
Wellcome Trust
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000634284600009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
04992/Z/14/Z
Subjects
Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
Medicine, Research & Experimental
General & Internal Medicine
Research & Experimental Medicine
Meningitis
Bacteria
Molecular diagnostics
PCR
RT-PCR
LAMP assay
Whole Genome Sequence data
Publication Status
Published
Article Number
ARTN 103274
Date Publish Online
2021-03-12