Adam Finn1, Begonia Morales-Aza, Paulina Sikora, Jessica Giles, Ryan Lethem, Matko Marlais, Valtyr Thors, Andrew J Pollard, Saul Faust, Paul Heath, Ian Vipond, Muriel Ferreira, Peter Muir, Luís Januário, Fernanda Rodrigues. 1. From the *Bristol Children's Vaccine Centre, School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom; †Oxford Vaccine Group, Department of Paediatrics, University of Oxford and the NIHR Oxford, Biomedical Research Centre, Oxford, United Kingdom; ‡Academic Unit of Clinical and Experimental Sciences, Faculty of Medicine and Institute for Life Sciences, University of Southampton, Southampton, United Kingdom; §Southampton NIHR Wellcome Trust Clinical Research Facility, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom; ¶Vaccine Institute & Paediatric Infectious Diseases Research Group, Division of Clinical Sciences, St. George's, University of London, London, United Kingdom; ‖Public Health Laboratory Bristol, Public Health England, Bristol, United Kingdom; **Infectious Diseases Unit and Emergency Service, Hospital Pediátrico, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; and ††Faculty of Medicine, Universidade de Coimbra, Coimbra, Portugal.
Abstract
BACKGROUND: Improved understanding of Neisseria meningitidis (Nm) carriage biology and better methods for detection and quantification would facilitate studies of potential impact of new vaccines on colonization and transmission in adolescents. METHODS: We performed plate cultures on 107 oropharyngeal swabs stored frozen in skim milk tryptone glucose glycerol (STGG) broth and previously positive for Nm. We compared quantitative polymerase chain reaction (qPCR) detection of Nm in 601 STGG-swabs with culture. Using qPCR (n = 87), a log-phase broth culture standard curve and semiquantitative plate cultures (n = 68), we measured density of carriage. We compared qPCR genogrouping of DNA extracts from STGG-swabs and from plate culture lawns (n = 110) with purified isolates (n = 80). RESULTS: Swab storage resulted in only 10% loss of culture sensitivity. Direct sodC qPCR Nm detection yielded more positives (87/601, 14.5%) than culture (80/601, 13.3%). Most samples (57/110) positive by culture were also positive by qPCR and vice versa, but discrepancies (single positives) were frequent among low-density samples. sodC qPCR was positive in 79/80 isolates but in only 65 by ctrA qPCR. Density both by culture and qPCR varied across 4 orders of magnitude with the majority being low (<50 bacteria-gene copies/mL) and a minority being high (>1000). Genogrouping qPCRs yielded more positive results when performed on DNA extracts from lawn cultures. CONCLUSIONS: We provide the first description of the distribution of Nm carriage density. This could be important for understanding transmission dynamics and population-level effectiveness of adolescent vaccine programs. Storage of swabs frozen in STGG for batched laboratory analysis facilitates carriage studies and direct sodC qPCR for Nm combined with qPCR genogrouping of lawn culture extracts provides accurate, detailed description of colonization.
BACKGROUND: Improved understanding of Neisseria meningitidis (Nm) carriage biology and better methods for detection and quantification would facilitate studies of potential impact of new vaccines on colonization and transmission in adolescents. METHODS: We performed plate cultures on 107 oropharyngeal swabs stored frozen in skim milk tryptone glucoseglycerol (STGG) broth and previously positive for Nm. We compared quantitative polymerase chain reaction (qPCR) detection of Nm in 601 STGG-swabs with culture. Using qPCR (n = 87), a log-phase broth culture standard curve and semiquantitative plate cultures (n = 68), we measured density of carriage. We compared qPCR genogrouping of DNA extracts from STGG-swabs and from plate culture lawns (n = 110) with purified isolates (n = 80). RESULTS: Swab storage resulted in only 10% loss of culture sensitivity. Direct sodC qPCR Nm detection yielded more positives (87/601, 14.5%) than culture (80/601, 13.3%). Most samples (57/110) positive by culture were also positive by qPCR and vice versa, but discrepancies (single positives) were frequent among low-density samples. sodC qPCR was positive in 79/80 isolates but in only 65 by ctrA qPCR. Density both by culture and qPCR varied across 4 orders of magnitude with the majority being low (<50 bacteria-gene copies/mL) and a minority being high (>1000). Genogrouping qPCRs yielded more positive results when performed on DNA extracts from lawn cultures. CONCLUSIONS: We provide the first description of the distribution of Nm carriage density. This could be important for understanding transmission dynamics and population-level effectiveness of adolescent vaccine programs. Storage of swabs frozen in STGG for batched laboratory analysis facilitates carriage studies and direct sodC qPCR for Nm combined with qPCR genogrouping of lawn culture extracts provides accurate, detailed description of colonization.
Authors: Rodolfo Villena; Marco Aurelio P Safadi; María Teresa Valenzuela; Juan P Torres; Adam Finn; Miguel O'Ryan Journal: Hum Vaccin Immunother Date: 2018-04-30 Impact factor: 3.452
Authors: Neil J Oldfield; Luke R Green; Julian Parkhill; Christopher D Bayliss; David P J Turner Journal: J Infect Dis Date: 2018-01-30 Impact factor: 5.226
Authors: Helen S Marshall; Mark McMillan; Ann Koehler; Andrew Lawrence; Jenny MacLennan; Martin Maiden; Mary Ramsay; Shamez N Ladhani; Caroline Trotter; Ray Borrow; Adam Finn; Thomas Sullivan; Peter Richmond; Charlene Kahler; Jane Whelan; Kumaran Vadivelu Journal: BMJ Open Date: 2019-05-06 Impact factor: 2.692
Authors: Fernanda Rodrigues; Hannah Christensen; Begonia Morales-Aza; Paulina Sikora; Elizabeth Oliver; Jennifer Oliver; Jay Lucidarme; Robin Marlow; Luís Januário; Adam Finn Journal: PLoS One Date: 2019-02-11 Impact factor: 3.240
Authors: Mark McMillan; Luke Walters; Turra Mark; Andrew Lawrence; Lex E X Leong; Thomas Sullivan; Geraint B Rogers; Ross M Andrews; Helen S Marshall Journal: Hum Vaccin Immunother Date: 2019-01-04 Impact factor: 3.452
Authors: Stephen A Clark; Jay Lucidarme; Georgina Angel; Aiswarya Lekshmi; Begonia Morales-Aza; Laura Willerton; Helen Campbell; Steve J Gray; Shamez N Ladhani; Mike Wade; Mary Ramsay; Julie Yates; Adam Finn; Ray Borrow Journal: Sci Rep Date: 2019-07-10 Impact factor: 4.379
Authors: Helen S Marshall; Mark McMillan; Ann Koehler; Andrew Lawrence; Jenny M MacLennan; Martin C J Maiden; Mary Ramsay; Shamez N Ladhani; Caroline Trotter; Ray Borrow; Adam Finn; Thomas Sullivan; Peter Richmond; Charlene M Kahler; Jane Whelan; Kumaran Vadivelu Journal: BMJ Open Date: 2018-07-10 Impact factor: 2.692