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|Title: ||Identification of HIV superinfection in seroconcordant couples in Rakai, Uganda, by use of next-generation deep sequencing|
|Authors: ||Redd, Andrew D.|
Mullis, Caroline E.
Tobian, Aaron A. R.
Selig, Ethan J.
Gray, Ronald H.
Wawer, Maria J.
Porcella, Stephen F.
Quinn, Thomas C.
|Issue Date: ||2011 |
|Publisher: ||American Society for Microbiology|
|Citation: ||Redd, A.D., Collinson-Streng, A., Martens, C., Ricklefs, S., Mullis, C.E., Manucci, J., Tobian, A.A.R., Selig, E.J., Laeyendecker, O., Sewankambo, N., Gray, R.H., Serwadda, D., Wawer, M.J., Porcella, S.F., Quinn, T.C. (2011). Identification of HIV superinfection in seroconcordant couples in Rakai, Uganda, by use of next-generation deep sequencing. Journal of Clinical Mircobiology, 49(8).|
|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.|
|Appears in Collections:||Research Articles (Health-Sciences)|
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