PubMed · 15812519
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Charlotte Schubert. 2005. HIV unbound.. https://doi.org/10.1038/nm0405-385
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Most HIV-1 isolates depend on CCR5 or CXCR4 to infect target cells, and efficient use of other coreceptors is rare. We cloned HIV-1 envelopes from virus at acute infection and found that most use CCR3 efficiently. This result contradicts prevailing data, suggesting that CCR3 usage is rare. We hypothesized that direct isolation into PBMC biases selection of viruses that use CCR5 and not CCR3. We therefore compared coreceptor use of isolates obtained by PBMC coculture with envelopes cloned directly from patient blood samples, which should represent actively replicating species. Viruses derived by cloning generally used CCR3 and CCR5 with equally efficiently. In contrast, we found that viruses isolated by PBMC coculture largely, or exclusively, used CCR5. Regardless of whether CCR3 use contributes to HIV-1 transmission or pathogenesis, our results demonstrate that "primary isolates" generated by PBMC culture are unlikely to accurately represent the in vivo replicating quasi-species.
The known sequences of HIV-1 viruses have been categorized into subtypes based on the phylogenetic partitioning of their env and gag gene sequences. The env gene encodes the protein gp120, which contains five sequence- variable regions (V1 to V5), of which the V3 loop is of central importance to viral infectivity. The V3 loop consensus sequences of HIV-1 subtype A and C viruses are similar, and more similar to one another than the V3 consensus sequences of any other two HIV-1 subtypes. However, using a position-specific statistical comparison, we found that the V3 region of these two subtypes is statistically distinct (p = approximately 0.0). (The p-value calculated to the lowest limit of representation on the computer used to run the calculation. This lowest limit was 10(16). Although theoretically a p-value cannot be equal to 0.0, the p-value for the comparisons in question can be intuitively considered to be extremely small, or approximately 0.0.).
In human immunodeficiency virus type 1 (HIV-1) subtype B infections, the emergence of viruses able to use CXCR4 as a coreceptor is well documented and associated with accelerated CD4 decline and disease progression. However, in HIV-1 subtype C infections, responsible for more than 50% of global infections, CXCR4 usage is less common, even in individuals with advanced disease. A reliable phenotype prediction method based on genetic sequence analysis could provide a rapid and less expensive approach to identify possible CXCR4 variants and thus increase our understanding of subtype C coreceptor usage. For subtype B V3 loop sequences, genotypic predictors have been developed based on position-specific scoring matrices (PSSM). In this study, we apply this methodology to a training set of 279 subtype C sequences of known phenotypes (228 non-syncytium-inducing [NSI] CCR5(+) and 51 SI CXCR4(+) sequences) to derive a C-PSSM predictor. Specificity and sensitivity distributions were estimated by combining data set bootstrapping with leave-one-out cross-validation, with random sampling of single sequences from individuals on each bootstrap iteration. The C-PSSM had an estimated specificity of 94% (confidence interval [CI], 92% to 96%) and a sensitivity of 75% (CI, 68% to 82%), which is significantly more sensitive than predictions based on other methods, including a commonly used method based on the presence of positively charged residues (sensitivity, 47.8%). A specificity of 83% and a sensitivity of 83% were achieved with a validation set of 24 SI and 47 NSI unique subtype C sequences. The C-PSSM performs as well on subtype C V3 loops as existing subtype B-specific methods do on subtype B V3 loops. We present bioinformatic evidence that particular sites may influence coreceptor usage differently, depending on the subtype.