Pretreatment HIV drug resistance spread within transmission clusters in Mexico City

Author:

Matías-Florentino Margarita1,Chaillon Antoine2,Ávila-Ríos Santiago1,Mehta Sanjay R2,Paz-Juárez Héctor E1,Becerril-Rodríguez Manuel A13,del Arenal-Sánchez Silvia J1,Piñeirúa-Menéndez Alicia4,Ruiz Verónica3,Iracheta-Hernández Patricia4,Macías-González Israel3,Tena-Sánchez Jehovani3,Badial-Hernández Florentino4,González-Rodríguez Andrea3,Reyes-Terán Gustavo1

Affiliation:

1. Centre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080 Mexico City, Mexico

2. University of California San Diego, 9500 Gilman Drive 0679, La Jolla, CA 92093, USA

3. Clínica Especializada Condesa, Gral, Benjamín Hill 24, Hipódromo Condesa, CP 06170 Mexico City, Mexico

4. Clínica Especializada Condesa Iztapalapa, Av. Combate de Celaya S/N, Colonia Unidad Habitacional Vicente Guerrero, CP 09730 Mexico City, Mexico

Abstract

Abstract Background Pretreatment HIV drug resistance (HIVDR) to NNRTIs has consistently increased in Mexico City during the last decade. Objectives To infer the HIV genetic transmission network in Mexico City to describe the dynamics of the local HIV epidemic and spread of HIVDR. Patients and methods HIV pol sequences were obtained by next-generation sequencing from 2447 individuals before initiation of ART at the largest HIV clinic in Mexico City (April 2016 to June 2018). Pretreatment HIVDR was estimated using the Stanford algorithm at a Sanger-like threshold (≥20%). Genetic networks were inferred with HIV-TRACE, establishing putative transmission links with genetic distances <1.5%. We examined demographic associations among linked individuals with shared drug resistance mutations (DRMs) using a ≥ 2% threshold to include low-frequency variants. Results Pretreatment HIVDR reached 14.8% (95% CI 13.4%–16.2%) in the cohort overall and 9.6% (8.5%–10.8%) to NNRTIs. Putative links with at least one other sequence were found for 963/2447 (39%) sequences, forming 326 clusters (2–20 individuals). The inferred network was assortative by age and municipality (P < 0.001). Clustering individuals were younger [adjusted OR (aOR) per year = 0.96, 95% CI 0.95–0.97, P < 0.001] and less likely to include women (aOR = 0.46, 95% CI 0.28–0.75, P = 0.002). Among clustering individuals, 175/963 (18%) shared DRMs (involving 66 clusters), of which 66/175 (38%) shared K103N/S (24 clusters). Eight municipalities (out of 75) harboured 65% of persons sharing DRMs. Among all persons sharing DRMs, those sharing K103N were younger (aOR = 0.93, 95% CI 0.88–0.98, P = 0.003). Conclusions Our analyses suggest age- and geographically associated transmission of DRMs within the HIV genetic network in Mexico City, warranting continuous monitoring and focused interventions.

Funder

Mexican Government

Consejo Nacional de Ciencia y Tecnología

University of California San Diego Centre for AIDS Research (CFAR), an NIH-funded programme.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

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