Dataset Information

Modeling sequence evolution in acute HIV-1 infection.

ABSTRACT: We describe a mathematical model and Monte Carlo (MC) simulation of viral evolution during acute infection. We consider both synchronous and asynchronous processes of viral infection of new target cells. The model enables an assessment of the expected sequence diversity in new HIV-1 infections originating from a single transmitted viral strain, estimation of the most recent common ancestor (MRCA) of the transmitted viral lineage, and estimation of the time to coalesce back to the MRCA. We also calculate the probability of the MRCA being the transmitted virus or an evolved variant. Excluding insertions and deletions, we assume HIV-1 evolves by base substitution without selection pressure during the earliest phase of HIV-1 infection prior to the immune response. Unlike phylogenetic methods that follow a lineage backwards to coalescence, we compare the observed data to a model of the diversification of a viral population forward in time. To illustrate the application of these methods, we provide detailed comparisons of the model and simulations results to 306 envelope sequences obtained from eight newly infected subjects at a single time point. The data from 68 patients were in good agreement with model predictions, and hence compatible with a single-strain infection evolving under no selection pressure. The diversity of the samples from the other two patients was too great to be explained by the model, suggesting multiple HIV-1-strains were transmitted. The model can also be applied to longitudinal patient data to estimate within-host viral evolutionary parameters.

SUBMITTER: Lee HY

PROVIDER: S-EPMC2760689 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature

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Modeling sequence evolution in acute HIV-1 infection.

Lee Ha Youn HY Giorgi Elena E EE Keele Brandon F BF Gaschen Brian B Athreya Gayathri S GS Salazar-Gonzalez Jesus F JF Pham Kimmy T KT Goepfert Paul A PA Kilby J Michael JM Saag Michael S MS Delwart Eric L EL Busch Michael P MP Hahn Beatrice H BH Shaw George M GM Korber Bette T BT Bhattacharya Tanmoy T Perelson Alan S AS

Journal of theoretical biology 20090804 2

We describe a mathematical model and Monte Carlo (MC) simulation of viral evolution during acute infection. We consider both synchronous and asynchronous processes of viral infection of new target cells. The model enables an assessment of the expected sequence diversity in new HIV-1 infections originating from a single transmitted viral strain, estimation of the most recent common ancestor (MRCA) of the transmitted viral lineage, and estimation of the time to coalesce back to the MRCA. We also c ...[more]

PMID: 19660475

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Project description:While prior studies have demonstrated that CD8 T cell responses to cryptic epitopes (CE) are readily detectable during HIV-1 infection, their ability to drive escape mutations following acute infection is unknown. We predicted 66 CE in a Zambian acute infection cohort based on escape mutations occurring within or near the putatively predicted HLA-I-restricted epitopes. The CE were evaluated for CD8 T cell responses for patients with chronic and acute HIV infections. Of the 66 predicted CE, 10 were recognized in 8/32 and 4/11 patients with chronic and acute infections, respectively. The immunogenic CE were all derived from a single antisense reading frame within pol However, when these CE were tested using longitudinal study samples, CE-specific T cell responses were detected but did not consistently select for viral escape mutations. Thus, while we demonstrated that CE are immunogenic in acute infection, the immune responses to CE are not major drivers of viral escape in the initial stages of HIV infection. The latter finding may be due to either the subdominant nature of CE-specific responses, the low antigen sensitivity, or the magnitude of CE responses during acute infections.IMPORTANCE Although prior studies demonstrated that cryptic epitopes of HIV-1 induce CD8 T cell responses, evidence that targeting these epitopes drives HIV escape mutations has been substantially limited, and no studies have addressed this question following acute infection. In this comprehensive study, we utilized longitudinal viral sequencing data obtained from three separate acute infection cohorts to predict potential cryptic epitopes based on HLA-I-associated viral escape. Our data show that cryptic epitopes are immunogenic during acute infection and that many of the responses they elicit are toward translation products of HIV-1 antisense reading frames. However, despite cryptic epitope targeting, our study did not find any evidence of early CD8-mediated immune escape. Nevertheless, improving cryptic epitope-specific CD8 T cell responses may still be beneficial in both preventative and therapeutic HIV-1 vaccines.

Dataset Information

Modeling sequence evolution in acute HIV-1 infection.

Publications

Modeling sequence evolution in acute HIV-1 infection.

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