Detection of HIV-1 Transmission Clusters from Dried Blood Spots within a Universal Test-and-Treat Trial in East Africa

Author:

Pujol-Hodge Emma1ORCID,Salazar-Gonzalez Jesus2ORCID,Ssemwanga Deogratius23ORCID,Charlebois Edwin4ORCID,Ayieko James5,Grant Heather1ORCID,Liegler Teri6,Atkins Katherine789ORCID,Kaleebu Pontiano23,Kamya Moses10ORCID,Petersen Maya11,Havlir Diane6,Leigh Brown Andrew1

Affiliation:

1. Ashworth Laboratories, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK

2. Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe P.O. Box 49, Uganda

3. Uganda Virus Research Institute, Entebbe P.O. Box 49, Uganda

4. Division of Prevention Science, Department of Medicine, University of California, San Francisco, CA 94158, USA

5. Kenya Medical Research Institute, Nairobi P.O. Box 54840-00200, Kenya

6. Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA 94110, USA

7. Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK

8. Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, LSHTM, London WC1E 7HT, UK

9. Centre for Mathematical Modelling of Infectious Diseases, LSHTM, London WC1E 7HT, UK

10. School of Medicine, Makerere University, Kampala P.O. Box 7072, Uganda

11. Division of Biostatistics, School of Public Health, University of California, Berkeley, CA 94720, USA

Abstract

The Sustainable East Africa Research in Community Health (SEARCH) trial was a universal test-and-treat (UTT) trial in rural Uganda and Kenya, aiming to lower regional HIV-1 incidence. Here, we quantify breakthrough HIV-1 transmissions occurring during the trial from population-based, dried blood spot samples. Between 2013 and 2017, we obtained 549 gag and 488 pol HIV-1 consensus sequences from 745 participants: 469 participants infected prior to trial commencement and 276 SEARCH-incident infections. Putative transmission clusters, with a 1.5% pairwise genetic distance threshold, were inferred from maximum likelihood phylogenies; clusters arising after the start of SEARCH were identified with Bayesian time-calibrated phylogenies. Our phylodynamic approach identified nine clusters arising after the SEARCH start date: eight pairs and one triplet, representing mostly opposite-gender linked (6/9), within-community transmissions (7/9). Two clusters contained individuals with non-nucleoside reverse transcriptase inhibitor (NNRTI) resistance, both linked to intervention communities. The identification of SEARCH-incident, within-community transmissions reveals the role of unsuppressed individuals in sustaining the epidemic in both arms of a UTT trial setting. The presence of transmitted NNRTI resistance, implying treatment failure to the efavirenz-based antiretroviral therapy (ART) used during SEARCH, highlights the need to improve delivery and adherence to up-to-date ART recommendations, to halt HIV-1 transmission.

Funder

the Division of AIDS, National Institute of Allergy and Infectious Diseases of the National Institutes of Health

the MRC Precision Medicine Doctoral Training Programme

ERC Starting Grant

Wellcome Trust Scholarship

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

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