Abstract

HIV molecular epidemiology can identify clusters of individuals with elevated rates of HIV transmission. These variable transmission rates are primarily driven by host risk behavior; however, the effect of viral traits on variable transmission rates is poorly understood. Viral load, the concentration of HIV in blood, is a heritable viral trait that influences HIV infectiousness and disease progression. Here, we reconstruct HIV genetic transmission clusters using data from the United States National HIV Surveillance System and report that viruses in clusters, inferred to be frequently transmitted, have higher viral loads at diagnosis. Further, viral load is higher in people in larger clusters and with increased network connectivity, suggesting that HIV in the United States is experiencing natural selection to be more infectious and virulent. We also observe a concurrent increase in viral load at diagnosis over the last decade. This evolutionary trajectory may be slowed by prevention strategies prioritized toward rapidly growing transmission clusters.

Details

Title
Natural selection favoring more transmissible HIV detected in United States molecular transmission network
Author
Wertheim, Joel O 1 ; Oster, Alexandra M 2 ; Switzer, William M 2   VIAFID ORCID Logo  ; Zhang, Chenhua 3 ; Nivedha Panneer 2 ; Campbell, Ellsworth 2 ; Saduvala, Neeraja 4 ; Johnson, Jeffrey A 2 ; Heneine, Walid 2 

 Department of Medicine, University of California, San Diego, CA, USA 
 Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA 
 ICF International, Atlanta, GA, USA; SciMetrika LLC, Atlanta, GA, USA 
 ICF International, Atlanta, GA, USA 
Pages
1-10
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2328715595
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.