Literature DB >> 29893244

Non-disclosed men who have sex with men in UK HIV transmission networks: phylogenetic analysis of surveillance data.

Manon Ragonnet-Cronin1, Stéphane Hué2, Emma B Hodcroft3, Anna Tostevin4, David Dunn4, Tracy Fawcett5, Anton Pozniak6, Alison E Brown7, Valerie Delpech7, Andrew J Leigh Brown3.   

Abstract

BACKGROUND: Patients who do not disclose their sexuality, including men who do not disclose same-sex behaviour, are difficult to characterise through traditional epidemiological approaches such as interviews. Using a recently developed method to detect large networks of viral sequences from time-resolved trees, we localised non-disclosed men who have sex with men (MSM) in UK transmission networks, gaining crucial insight into the behaviour of this group.
METHODS: For this phylogenetic analysis, we obtained HIV pol sequences from the UK HIV Drug Resistance Database (UKRDB), a central repository for resistance tests done as part of routine clinical care throughout the UK. Sequence data are linked to demographic and clinical data held by the UK Collaborative HIV Cohort study and the national HIV/AIDS reporting system database. Initially, we reconstructed maximum likelihood phylogenies from these sequences, then sequences were selected for time-resolved analysis in BEAST if they were clustered with at least one other sequence at a genetic distance of 4·5% or less with support of at least 90%. We used time-resolved phylogenies to create networks by linking together nodes if sequences shared a common ancestor within the previous 5 years. We identified potential non-disclosed MSM (pnMSM), defined as self-reported heterosexual men who clustered only with men. We measured the network position of pnMSM, including betweenness (a measure of connectedness and importance) and assortativity (the propensity for nodes sharing attributes to link).
FINDINGS: 14 405 individuals were in the network, including 8452 MSM, 1743 heterosexual women and 1341 heterosexual men. 249 pnMSM were identified (18·6% of all clustered heterosexual men) in the network. pnMSM were more likely to be black African (p<0·0001), less likely to be infected with subtype B (p=0·006), and were slightly older (p=0·002) than the MSM they clustered with. Mean betweenness centrality was lower for pnMSM than for MSM (1·31, 95% CI 0·48-2·15 in pnMSM vs 2·24, 0·98-3·51 in MSM; p=0·002), indicating that pnMSM were in peripheral positions in MSM clusters. Assortativity by risk group was higher than expected (0·037 vs -0·037, p=0·01) signifying that pnMSM were linked to each other. We found that self-reported heterosexual men were more likely to link MSM and heterosexual women than heterosexual women were to link MSM and heterosexual men (Fisher's exact test p=0·0004; OR 2·24) but the number of such transmission chains was small (only 54 in total vs 32 in women).
INTERPRETATION: pnMSM are a subgroup distinct from both MSM and from heterosexual men. They are more likely to choose sexual partners who are also pnMSM and might exhibit lower-risk sexual behaviour than MSM (eg, choosing low-risk partners or consistently using condoms). Heterosexual men are the group most likely to be diagnosed with late-stage disease (ie, low CD4 counts) and non-disclosed MSM might put female partners at higher risk than heterosexual men because non-disclosed MSM have male partners. Hence, pnMSM require specific consideration to ensure they are included in public health interventions. FUNDING: National Institutes of Health.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29893244     DOI: 10.1016/S2352-3018(18)30062-6

Source DB:  PubMed          Journal:  Lancet HIV        ISSN: 2352-3018            Impact factor:   12.767


  17 in total

1.  HIV transmission networks among transgender women in Los Angeles County, CA, USA: a phylogenetic analysis of surveillance data.

Authors:  Manon Ragonnet-Cronin; Yunyin W Hu; Sheldon R Morris; Zhijuan Sheng; Kathleen Poortinga; Joel O Wertheim
Journal:  Lancet HIV       Date:  2019-02-11       Impact factor: 12.767

2.  A modeling framework to inform preexposure prophylaxis initiation and retention scale-up in the context of 'Getting to Zero' initiatives.

Authors:  Aditya S Khanna; John A Schneider; Nicholson Collier; Jonathan Ozik; Rodal Issema; Angela di Paola; Abigail Skwara; Arthi Ramachandran; Jeannette Webb; Russell Brewer; William Cunningham; Charles Hilliard; Santhoshini Ramani; Kayo Fujimoto; Nina Harawa
Journal:  AIDS       Date:  2019-10-01       Impact factor: 4.177

3.  The Relationship Between the Human Immunodeficiency Virus-1 Transmission Network and the HIV Care Continuum in Los Angeles County.

Authors:  Adiba Hassan; Victor De Gruttola; Yunyin W Hu; Zhijuan Sheng; Kathleen Poortinga; Joel O Wertheim
Journal:  Clin Infect Dis       Date:  2020-12-03       Impact factor: 9.079

4.  Sorting by Race/Ethnicity Across HIV Genetic Transmission Networks in Three Major Metropolitan Areas in the United States.

Authors:  Manon Ragonnet-Cronin; Nanette Benbow; Christina Hayford; Kathleen Poortinga; Fangchao Ma; Lisa A Forgione; Zhijuan Sheng; Yunyin W Hu; Lucia V Torian; Joel O Wertheim
Journal:  AIDS Res Hum Retroviruses       Date:  2021-02-08       Impact factor: 1.723

5.  The Central Role of Nondisclosed Men Who Have Sex With Men in Human Immunodeficiency Virus-1 Transmission Networks in Guangzhou, China.

Authors:  Huanchang Yan; Weiyun He; Liping Huang; Hao Wu; Yuanhao Liang; Qingmei Li; Jingwei Shui; Cheng Wang; Emmanuel E Dzakah; Zhigang Han; Shixing Tang
Journal:  Open Forum Infect Dis       Date:  2020-05-06       Impact factor: 3.835

6.  Phylodynamic Analysis Complements Partner Services by Identifying Acute and Unreported HIV Transmission.

Authors:  Ellsworth M Campbell; Anne Patala; Anupama Shankar; Jin-Fen Li; Jeffrey A Johnson; Emily Westheimer; Cynthia L Gay; Stephanie E Cohen; William M Switzer; Philip J Peters
Journal:  Viruses       Date:  2020-01-27       Impact factor: 5.048

7.  Syphilis Testing as a Proxy Marker for a Subgroup of Men Who Have Sex With Men With a Central Role in HIV-1 Transmission in Guangzhou, China.

Authors:  Liping Huang; Hao Wu; Huanchang Yan; Yuanhao Liang; Qingmei Li; Jingwei Shui; Zhigang Han; Shixing Tang
Journal:  Front Med (Lausanne)       Date:  2021-07-07

Review 8.  The Role of Phylogenetics in Discerning HIV-1 Mixing among Vulnerable Populations and Geographic Regions in Sub-Saharan Africa: A Systematic Review.

Authors:  George M Nduva; Jamirah Nazziwa; Amin S Hassan; Eduard J Sanders; Joakim Esbjörnsson
Journal:  Viruses       Date:  2021-06-19       Impact factor: 5.048

9.  Phylogenomic analysis of Neisseria gonorrhoeae transmission to assess sexual mixing and HIV transmission risk in England: a cross-sectional, observational, whole-genome sequencing study.

Authors:  Katy Town; Nigel Field; Simon R Harris; Leonor Sánchez-Busó; Michelle J Cole; Rachel Pitt; Helen Fifer; Hamish Mohammed; Gwenda Hughes
Journal:  Lancet Infect Dis       Date:  2020-01-21       Impact factor: 71.421

10.  Inconsistent HIV pre-exposure prophylaxis use and HIV transmission in men who have sex with men (MSM).

Authors:  Daniel Richardson; Jane Shapiro; David A Lewis; Iryna Zablotska
Journal:  J Int AIDS Soc       Date:  2020-08       Impact factor: 5.396

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