Literature DB >> 21276750

Detection of bacterial pathogens in Mongolia meningitis surveillance with a new real-time PCR assay to detect Haemophilus influenzae.

Xin Wang1, Raydel Mair, Cynthia Hatcher, M Jordan Theodore, Karen Edmond, Henry M Wu, Brian H Harcourt, Maria da Gloria S Carvalho, Fabiana Pimenta, Pagbajab Nymadawa, Dorjpurev Altantsetseg, Mariah Kirsch, Sarah W Satola, Amanda Cohn, Nancy E Messonnier, Leonard W Mayer.   

Abstract

Since the implementation of Haemophilus influenzae (Hi) serotype b vaccine, other serotypes and non-typeable strains have taken on greater importance as a cause of Hi diseases. A rapid and accurate method is needed to detect all Hi regardless of the encapsulation status. We developed 2 real-time PCR (rt-PCR) assays to detect specific regions of the protein D gene (hpd). Both hpd assays are very specific and sensitive for detection of Hi. Of the 63 non-Hi isolates representing 21 bacterial species, none was detected by the hpd #1 assay, and only one of 2 H. aphrophilus isolates was detected by the hpd #3 assay. The hpd #1 and #3 assays detected 97% (229/237) and 99% (234/237) of Hi isolates, respectively, and were superior for detection of both typeable and non-typeable Hi isolates, as compared to previously developed rt-PCR targeting ompP2 or bexA. The diagnostic sensitivity and specificity of these rt-PCR assays were assessed on cerebrospinal fluid specimens collected as part of meningitis surveillance in Ulaanbaatar, Mongolia. The etiology (Neisseria meningitidis, Hi, and Streptococcus pneumoniae) of 111 suspected meningitis cases was determined by conventional methods (culture and latex agglutination), previously developed rt-PCR assays, and the new hpd assays. The rt-PCR assays were more sensitive for detection of meningitis pathogens than other classical methods and improved detection from 50% (56/111) to 75% (83/111). The hpd #3 assay identified a non-b Hi that was missed by the bexA assay and other methods. A sensitive rt-PCR assay to detect both typeable and non-typeable Hi is a useful tool for improving Hi disease surveillance especially after Hib vaccine introduction. Published by Elsevier GmbH.

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Year:  2011        PMID: 21276750     DOI: 10.1016/j.ijmm.2010.11.004

Source DB:  PubMed          Journal:  Int J Med Microbiol        ISSN: 1438-4221            Impact factor:   3.473


  57 in total

1.  Haemophilus influenzae type b carriage among young children in metropolitan Atlanta in the context of vaccine shortage and booster dose deferral.

Authors:  Jennifer Dolan Thomas; Michael L Jackson; Dolly Sharma; Raydel Mair; Michelle C Bach; Dana Castillo; O Grace Ejigiri; Sarah Satola; Amanda C Cohn; Robert Jerris; Shabnam Jain; Monica M Farley; Leonard W Mayer; Nancy E Messonnier
Journal:  Clin Vaccine Immunol       Date:  2011-10-19

2.  Evaluation of new biomarker genes for differentiating Haemophilus influenzae from Haemophilus haemolyticus.

Authors:  M Jordan Theodore; Raydel D Anderson; Xin Wang; Lee S Katz; Jeni T Vuong; Melissa E Bell; Billie A Juni; Sara A Lowther; Ruth Lynfield; Jessica R MacNeil; Leonard W Mayer
Journal:  J Clin Microbiol       Date:  2012-02-01       Impact factor: 5.948

3.  Evaluation of a TaqMan Array Card for Detection of Central Nervous System Infections.

Authors:  Clayton O Onyango; Vladimir Loparev; Shirley Lidechi; Vinod Bhullar; D Scott Schmid; Kay Radford; Michael K Lo; Paul Rota; Barbara W Johnson; Jorge Munoz; Martina Oneko; Deron Burton; Carolyn M Black; John Neatherlin; Joel M Montgomery; Barry Fields
Journal:  J Clin Microbiol       Date:  2017-04-12       Impact factor: 5.948

4.  An emm-type specific qPCR to track bacterial load during experimental human Streptococcus pyogenes pharyngitis.

Authors:  Loraine V Fabri; Kristy I Azzopardi; Joshua Osowicki; Hannah R Frost; Pierre R Smeesters; Andrew C Steer
Journal:  BMC Infect Dis       Date:  2021-05-21       Impact factor: 3.090

5.  Application of TaqMan low-density arrays for simultaneous detection of multiple respiratory pathogens.

Authors:  Maja Kodani; Genyan Yang; Laura M Conklin; Tatiana C Travis; Cynthia G Whitney; Larry J Anderson; Stephanie J Schrag; Thomas H Taylor; Bernard W Beall; Robert F Breiman; Daniel R Feikin; M Kariuki Njenga; Leonard W Mayer; M Steven Oberste; Maria Lucia C Tondella; Jonas M Winchell; Stephen L Lindstrom; Dean D Erdman; Barry S Fields
Journal:  J Clin Microbiol       Date:  2011-04-06       Impact factor: 5.948

6.  A PCR-high-resolution melt assay for rapid differentiation of nontypeable Haemophilus influenzae and Haemophilus haemolyticus.

Authors:  Janessa Pickering; Michael J Binks; Jemima Beissbarth; Kim M Hare; Lea-Ann S Kirkham; Heidi Smith-Vaughan
Journal:  J Clin Microbiol       Date:  2013-12-04       Impact factor: 5.948

7.  Comparative Genomic Analysis of Haemophilus haemolyticus and Nontypeable Haemophilus influenzae and a New Testing Scheme for Their Discrimination.

Authors:  Fang Hu; Lavanya Rishishwar; Ambily Sivadas; Gabriel J Mitchell; I King Jordan; Timothy F Murphy; Janet R Gilsdorf; Leonard W Mayer; Xin Wang
Journal:  J Clin Microbiol       Date:  2016-10-05       Impact factor: 5.948

8.  Density interactions among Streptococcus pneumoniae, Haemophilus influenzae and Staphylococcus aureus in the nasopharynx of young Peruvian children.

Authors:  Yu-Wen Chien; Jorge E Vidal; Carlos G Grijalva; Catherine Bozio; Kathryn M Edwards; John V Williams; Marie R Griffin; Hector Verastegui; Stella M Hartinger; Ana I Gil; Claudio F Lanata; Keith P Klugman
Journal:  Pediatr Infect Dis J       Date:  2013-01       Impact factor: 2.129

9.  Improving patient care via development of a protein-based diagnostic test for microbe-specific detection of chronic rhinosinusitis.

Authors:  Subinoy Das; Lucia E Rosas; Joseph A Jurcisek; Laura A Novotny; Kari B Green; Lauren O Bakaletz
Journal:  Laryngoscope       Date:  2013-10-02       Impact factor: 3.325

10.  Current Epidemiology and Trends in Invasive Haemophilus influenzae Disease-United States, 2009-2015.

Authors:  Heidi M Soeters; Amy Blain; Tracy Pondo; Brooke Doman; Monica M Farley; Lee H Harrison; Ruth Lynfield; Lisa Miller; Susan Petit; Arthur Reingold; William Schaffner; Ann Thomas; Shelley M Zansky; Xin Wang; Elizabeth C Briere
Journal:  Clin Infect Dis       Date:  2018-08-31       Impact factor: 9.079

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