Identification of HIV Superinfection in Seroconcordant Couples in Rakai, Uganda, by Use of Next-Generation Deep Sequencing

Author:

Redd Andrew D.1,Collinson-Streng Aleisha1,Martens Craig2,Ricklefs Stacy2,Mullis Caroline E.3,Manucci Jordyn3,Tobian Aaron A. R.3,Selig Ethan J.2,Laeyendecker Oliver13,Sewankambo Nelson45,Gray Ronald H.6,Serwadda David47,Wawer Maria J.6,Porcella Stephen F.2,Quinn Thomas C.13

Affiliation:

1. Laboratory of Immunoregulation, DIR, NIAID, NIH, Baltimore Maryland

2. Genomics Unit, Research Technologies Section, Rocky Mountain Laboratories, DIR, NIAID, NIH, Hamilton, Montana

3. Johns Hopkins Medical Institute, Johns Hopkins University, Baltimore Maryland

4. Rakai Health Sciences Program, Kalisizo, Uganda

5. School of Medicine, Makerere University, Kampala, Uganda

6. Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland

7. School of Public Health, Makerere University, Kampala, Uganda

Abstract

ABSTRACT HIV superinfection, which occurs when a previously infected individual acquires a new distinct HIV strain, has been described in a number of populations. Previous methods to detect superinfection have involved a combination of labor-intensive assays with various rates of success. We designed and tested a next-generation sequencing (NGS) protocol to identify HIV superinfection by targeting two regions of the HIV viral genome, p24 and gp41. The method was validated by mixing control samples infected with HIV subtype A or D at different ratios to determine the inter- and intrasubtype sensitivity by NGS. This amplicon-based NGS protocol was able to consistently identify distinct intersubtype strains at ratios of 1% and intrasubtype variants at ratios of 5%. By using stored samples from the Rakai Community Cohort Study (RCCS) in Uganda, 11 individuals who were HIV seroconcordant but virally unlinked from their spouses were then tested by this method to detect superinfection between 2002 and 2005. Two female cases of HIV intersubtype superinfection (18.2%) were identified. These results are consistent with other African studies and support the hypothesis that HIV superinfection occurs at a relatively high rate. Our results indicate that NGS can be used for detection of HIV superinfection within large cohorts, which could assist in determining the incidence and the epidemiologic, virologic, and immunological correlates of this phenomenon.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

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