Literature DB >> 33721818

Molecular diagnostic assays for the detection of common bacterial meningitis pathogens: A narrative review.

Kanny Diallo1, Vitalis F Feteh2, Lilian Ibe2, Martin Antonio3, Dominique A Caugant4, Mignon du Plessis5, Ala-Eddine Deghmane6, Ian M Feavers7, Katya Fernandez8, LeAnne M Fox9, Charlene M C Rodrigues10, Olivier Ronveaux8, Muhamed-Kheir Taha6, Xin Wang9, Angela B Brueggemann11, Martin C J Maiden7, Odile B Harrison12.   

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.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bacteria; LAMP assay; Meningitis; Molecular diagnostics; PCR; RT-PCR; Whole Genome Sequence data

Mesh:

Substances:

Year:  2021        PMID: 33721818      PMCID: PMC7957090          DOI: 10.1016/j.ebiom.2021.103274

Source DB:  PubMed          Journal:  EBioMedicine        ISSN: 2352-3964            Impact factor:   8.143


  1 in total

1.  Childhood meningitis in rural Gambia: 10 years of population-based surveillance.

Authors:  Usman N Ikumapayi; Philip C Hill; Ilias Hossain; Yekini Olatunji; Malick Ndiaye; Henry Badji; Ahmed Manjang; Rasheed Salaudeen; Lamin Ceesay; Richard A Adegbola; Brian M Greenwood; Grant A Mackenzie
Journal:  PLoS One       Date:  2022-08-10       Impact factor: 3.752

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.