Whole genome sequencing of Neisseria gonorrhoeae reveals transmission clusters involving patients of mixed HIV-serostatus

<p><strong>Objectives</strong></p> <p>Prevention and control of gonorrhoea depends on understanding the nature of sexual networks and risk factors for infection.  We aimed to use high resolution typing (whole genome sequencing) of <em>Neisseria gonorrhoeae</em&...

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Main Authors: Peters, J, Cresswell, F, Amor, L, Cole, K, Dean, G, Didelot, X, De Silva, D, Eyre, D, Paul, J
Format: Journal article
Published: BMJ Publishing Group 2017
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author Peters, J
Cresswell, F
Amor, L
Cole, K
Dean, G
Didelot, X
De Silva, D
Eyre, D
Paul, J
author_facet Peters, J
Cresswell, F
Amor, L
Cole, K
Dean, G
Didelot, X
De Silva, D
Eyre, D
Paul, J
author_sort Peters, J
collection OXFORD
description <p><strong>Objectives</strong></p> <p>Prevention and control of gonorrhoea depends on understanding the nature of sexual networks and risk factors for infection.  We aimed to use high resolution typing (whole genome sequencing) of <em>Neisseria gonorrhoeae</em> isolates plus patient questionnaire data to gain insights into transmission patterns in a high prevalence setting.</p> <p><strong>Methods</strong></p> <p>During a nine month period (July 2014-March 2015) patients diagnosed with gonorrhoea attending sexual health service in Brighton, UK, were invited to provide anonymised detailed information by questionnaire about risk factors for infection.  Questionnaire data plus whole genome sequence data from cultured isolates were analysed to yield information about sexual networks and risk factors for infection.  </p> <p><strong>Results</strong></p> <p>104/149 individuals who consented to participate in the study were culture-positive. 97/104 (93%) were male.  80 self-reported to be men who have sex with men (MSM).  35/104 (34%) of patients were HIV-positive. 51/104 (49%) individuals reported using geosocial networking applications to facilitate contact.  Sex under the influence of drugs was reported by 16/34 (46%) of HIV-positive MSM, 17/41 (41%) of HIV-negative MSM and 5/15 (31%) of heterosexuals.  WGS data were available for 100 isolates from 83 patients.  55 isolates (66%) belonged to genetically related subtypes involving one or more patients, who could be plausibly linked through recent direct or indirect transmission.  Four transmission clusters containing 3-12 individuals were composed of MSM of mixed HIV-serostatus.</p> <p><strong>Conclusions</strong></p> <p>We show that data obtained from whole genome sequencing of <em>Neisseria gonorrhoeae</em> and enhanced epidemiological data obtained from patient questionnaires are mutually supportive and reveal insights into sexual networks.  Our findings suggest that serosorting may have declined as a practice and indicate the importance of designing public health interventions that target infection risks associated with recreational drug use and contact made using geosocial networking applications.</p>
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spelling oxford-uuid:760e4b63-a653-4cfe-8911-a3f5a11e1f022022-03-26T20:13:13ZWhole genome sequencing of Neisseria gonorrhoeae reveals transmission clusters involving patients of mixed HIV-serostatusJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:760e4b63-a653-4cfe-8911-a3f5a11e1f02Symplectic Elements at OxfordBMJ Publishing Group2017Peters, JCresswell, FAmor, LCole, KDean, GDidelot, XDe Silva, DEyre, DPaul, J<p><strong>Objectives</strong></p> <p>Prevention and control of gonorrhoea depends on understanding the nature of sexual networks and risk factors for infection.  We aimed to use high resolution typing (whole genome sequencing) of <em>Neisseria gonorrhoeae</em> isolates plus patient questionnaire data to gain insights into transmission patterns in a high prevalence setting.</p> <p><strong>Methods</strong></p> <p>During a nine month period (July 2014-March 2015) patients diagnosed with gonorrhoea attending sexual health service in Brighton, UK, were invited to provide anonymised detailed information by questionnaire about risk factors for infection.  Questionnaire data plus whole genome sequence data from cultured isolates were analysed to yield information about sexual networks and risk factors for infection.  </p> <p><strong>Results</strong></p> <p>104/149 individuals who consented to participate in the study were culture-positive. 97/104 (93%) were male.  80 self-reported to be men who have sex with men (MSM).  35/104 (34%) of patients were HIV-positive. 51/104 (49%) individuals reported using geosocial networking applications to facilitate contact.  Sex under the influence of drugs was reported by 16/34 (46%) of HIV-positive MSM, 17/41 (41%) of HIV-negative MSM and 5/15 (31%) of heterosexuals.  WGS data were available for 100 isolates from 83 patients.  55 isolates (66%) belonged to genetically related subtypes involving one or more patients, who could be plausibly linked through recent direct or indirect transmission.  Four transmission clusters containing 3-12 individuals were composed of MSM of mixed HIV-serostatus.</p> <p><strong>Conclusions</strong></p> <p>We show that data obtained from whole genome sequencing of <em>Neisseria gonorrhoeae</em> and enhanced epidemiological data obtained from patient questionnaires are mutually supportive and reveal insights into sexual networks.  Our findings suggest that serosorting may have declined as a practice and indicate the importance of designing public health interventions that target infection risks associated with recreational drug use and contact made using geosocial networking applications.</p>
spellingShingle Peters, J
Cresswell, F
Amor, L
Cole, K
Dean, G
Didelot, X
De Silva, D
Eyre, D
Paul, J
Whole genome sequencing of Neisseria gonorrhoeae reveals transmission clusters involving patients of mixed HIV-serostatus
title Whole genome sequencing of Neisseria gonorrhoeae reveals transmission clusters involving patients of mixed HIV-serostatus
title_full Whole genome sequencing of Neisseria gonorrhoeae reveals transmission clusters involving patients of mixed HIV-serostatus
title_fullStr Whole genome sequencing of Neisseria gonorrhoeae reveals transmission clusters involving patients of mixed HIV-serostatus
title_full_unstemmed Whole genome sequencing of Neisseria gonorrhoeae reveals transmission clusters involving patients of mixed HIV-serostatus
title_short Whole genome sequencing of Neisseria gonorrhoeae reveals transmission clusters involving patients of mixed HIV-serostatus
title_sort whole genome sequencing of neisseria gonorrhoeae reveals transmission clusters involving patients of mixed hiv serostatus
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