Literature DB >> 35762759

Phylodynamics of HIV in the Mexico City Metropolitan Region.

Sanjay R Mehta1,2, Antoine Chaillon1, Santiago Avila-Rios3, Claudia García-Morales3, Gustavo Reyes-Terán4, Andrea González-Rodríguez5, Margarita Matías-Florentino3.   

Abstract

Evolutionary analyses of viral sequences can provide insights into transmission dynamics, which in turn can optimize prevention interventions. Here, we characterized the dynamics of HIV transmission within the Mexico City metropolitan area. HIV pol sequences from persons recently diagnosed at the largest HIV clinic in Mexico City (between 2016 and 2021) were annotated with demographic/geographic metadata. A multistep phylogenetic approach was applied to identify putative transmission clades. A data set of publicly available sequences was used to assess international introductions. Clades were analyzed with a discrete phylogeographic model to evaluate the timing and intensity of HIV introductions and transmission dynamics among municipalities in the region. A total of 6,802 sequences across 96 municipalities (5,192 from Mexico City and 1,610 from the neighboring State of Mexico) were included (93.6% cisgender men, 5.0% cisgender women, and 1.3% transgender women); 3,971 of these sequences formed 1,206 clusters, involving 78 municipalities, including 89 clusters of ≥10 sequences. Discrete phylogeographic analysis revealed (i) 1,032 viral introductions into the region, over one-half of which were from the United States, and (ii) 354 migration events between municipalities with high support (adjusted Bayes factor of ≥3). The most frequent viral migrations occurred between northern municipalities within Mexico City, i.e., Cuauhtémoc to Iztapalapa (5.2% of events), Iztapalapa to Gustavo A. Madero (5.4%), and Gustavo A. Madero to Cuauhtémoc (6.5%). Our analysis illustrates the complexity of HIV transmission within the Mexico City metropolitan area but also identifies a spatially active transmission area involving a few municipalities in the north of the city, where targeted interventions could have a more pronounced effect on the entire regional epidemic. IMPORTANCE Phylogeographic investigation of the Mexico City HIV epidemic illustrates the complexity of HIV transmission in the region. An active transmission area involving a few municipalities in the north of the city, with transmission links throughout the region, is identified and could be a location where targeted interventions could have a more pronounced effect on the entire regional epidemic, compared with those dispersed in other manners.

Entities:  

Keywords:  Bayesian discrete phylogeography; HIV; Mexico; dispersal; phylodynamics

Mesh:

Year:  2022        PMID: 35762759      PMCID: PMC9327710          DOI: 10.1128/jvi.00708-22

Source DB:  PubMed          Journal:  J Virol        ISSN: 0022-538X            Impact factor:   6.549


  42 in total

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Journal:  J Math Biol       Date:  2007-09-14       Impact factor: 2.259

2.  Quantifying differences in the tempo of human immunodeficiency virus type 1 subtype evolution.

Authors:  Ana B Abecasis; Anne-Mieke Vandamme; Philippe Lemey
Journal:  J Virol       Date:  2009-09-30       Impact factor: 5.103

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Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

4.  Relaxed phylogenetics and dating with confidence.

Authors:  Alexei J Drummond; Simon Y W Ho; Matthew J Phillips; Andrew Rambaut
Journal:  PLoS Biol       Date:  2006-03-14       Impact factor: 8.029

5.  Implications of hepatitis C virus subtype 1a migration patterns for virus genetic sequencing policies in Italy.

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Journal:  BMC Evol Biol       Date:  2017-03-07       Impact factor: 3.260

6.  Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10.

Authors:  Marc A Suchard; Philippe Lemey; Guy Baele; Daniel L Ayres; Alexei J Drummond; Andrew Rambaut
Journal:  Virus Evol       Date:  2018-06-08

7.  The substitution rate of HIV-1 subtypes: a genomic approach.

Authors:  Juan Ángel Patiño-Galindo; Fernando González-Candelas
Journal:  Virus Evol       Date:  2017-10-20

8.  Use of molecular HIV surveillance data and predictive modeling to prioritize persons for transmission-reduction interventions.

Authors:  Qiang Xia; Joel O Wertheim; Sarah L Braunstein; Kavita Misra; Chi-Chi Udeagu; Lucia V Torian
Journal:  AIDS       Date:  2020-03-01       Impact factor: 4.177

9.  Biased phylodynamic inferences from analysing clusters of viral sequences.

Authors:  Bethany L Dearlove; Fei Xiang; Simon D W Frost
Journal:  Virus Evol       Date:  2017-08-03

10.  Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography.

Authors:  Matthew Scotch; Tasnia Tahsin; Davy Weissenbacher; Karen O'Connor; Arjun Magge; Matteo Vaiente; Marc A Suchard; Graciela Gonzalez-Hernandez
Journal:  Virus Evol       Date:  2019-02-28
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