1. Development of a PCR algorithm to detect and characterize Neisseria meningitidis carriage isolates in the African meningitis belt
- Author
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Diallo, K, Coulibaly, MD, Rebbetts, LS, Harrison, OB, Lucidarme, J, Gamougam, K, Tekletsion, YK, Bugri, A, Toure, A, Issaka, B, Dieng, M, Trotter, C, Collard, JM, Sow, SO, Wang, X, Mayer, LW, Borrow, R, Greenwood, BM, Maiden, MCJ, Manigart, O, Centre pour le Développement des Vaccins [Mali], University of Oxford [Oxford], Public Health England North West [Manchester] (PHE), Public Health England [London], Centre de Support en Santé Internationale [N'Djamena, Tchad] (CSSI), Armauer Hansen Research Institute (AHRI), Navrongo Health Research Centre [Navrongo, Ghana] (NHRC), Centre de Recherche Médicale et Sanitaire (Niamey, Niger) (CERMES), Réseau International des Instituts Pasteur (RIIP), Institut de recherche pour le développement (IRD [Sénégal]), University of Cambridge [UK] (CAM), Centers for Disease Control and Prevention [Atlanta] (CDC), Centers for Disease Control and Prevention, London School of Hygiene and Tropical Medicine (LSHTM), This study was funded by the Meningitis Research Foundation (www.meningitis.org) under the auspices of the MenAfriCar project. The MenAfriCar Consortium was supported by grants from the Wellcome Trust (086546) and the Bill & Melinda Gates Foundation (OPP51251)., and University of Oxford
- Subjects
Bacterial Diseases ,Male ,Artificial Gene Amplification and Extension ,Meningococcal Disease ,Neisseria meningitidis ,Pathology and Laboratory Medicine ,Mali ,Polymerase Chain Reaction ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Infectious Diseases of the Nervous System ,Medicine and Health Sciences ,DNA extraction ,MESH: Superoxide Dismutase ,MESH: Multiplex Polymerase Chain Reaction ,Database and informatics methods ,Applied Mathematics ,Simulation and Modeling ,MESH: Meningitis, Meningococcal ,Sequence analysis ,Bacterial Pathogens ,Infectious Diseases ,Neurology ,Medical Microbiology ,Physical Sciences ,Female ,Pathogens ,Neisseria ,Algorithms ,Research Article ,Bioinformatics ,Inflammatory Diseases ,Sequence Databases ,Porins ,MESH: Algorithms ,Meningitis, Meningococcal ,Research and Analysis Methods ,Microbiology ,Sensitivity and Specificity ,MESH: Neisseria meningitidis ,Extraction techniques ,Humans ,Meningitis ,Molecular Biology Techniques ,Molecular Biology ,Microbial Pathogens ,BLAST algorithm ,MESH: Humans ,MESH: Porins ,Bacteria ,Superoxide Dismutase ,Organisms ,Biology and Life Sciences ,MESH: Mali ,[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology ,MESH: Sensitivity and Specificity ,MESH: Male ,Biological Databases ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,MESH: Female ,Multiplex Polymerase Chain Reaction ,Mathematics - Abstract
International audience; Improved methods for the detection and characterization of carried Neisseria meningitidis isolates are needed. We evaluated a multiplex PCR algorithm for the detection of a variety of carriage strains in the meningitis belt. To further improve the sensitivity and specificity of the existing PCR assays, primers for gel-based PCR assays (sodC, H, Z) and primers/probe for real-time quantitative PCR (qPCR) assays (porA, cnl, sodC, H, E, Z) were modified or created using Primer Express software. Optimized multiplex PCR assays were tested on 247 well-characterised carriage isolates from six countries of the African meningitis belt. The PCR algorithm developed enabled the detection of N. meningitidis species using gel-based and real-time multiplex PCR targeting porA, sodC, cnl and characterization of capsule genes through sequential multiplex PCR assays for genogroups (A, W, X, then B, C, Y and finally H, E and Z). Targeting both porA and sodC genes together allowed the detection of meningococci with a sensitivity of 96% and 89% and a specificity of 78% and 67%, for qPCR and gel-based PCR respectively. The sensitivity and specificity ranges for capsular genogrouping of N. meningitidis are 67% - 100% and 98%-100% respectively for gel-based PCR and 90%-100% and 99%-100% for qPCR. We developed a PCR algorithm that allows simple, rapid and systematic detection and characterisation of most major and minor N. meningitidis capsular groups, including uncommon capsular groups (H, E, Z).
- Published
- 2018
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