2012
DOI: 10.1186/1742-6405-9-22
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Predicted HIV-1 coreceptor usage among Kenya patients shows a high tendency for subtype d to be cxcr4 tropic

Abstract: BackgroundCCR5 antagonists have clinically been approved for prevention or treatment of HIV/AIDS. Countries in Sub-Saharan Africa with the highest burden of HIV/AIDS are due to adopt these regimens. However, HIV-1 can also use CXCR4 as a co-receptor. There is hence an urgent need to map out cellular tropism of a country’s circulating HIV strains to guide the impending use of CCR5 antagonists.ObjectivesTo determine HIV-1 coreceptor usage among patients attending a comprehensive care centre in Nairobi, Kenya.Met… Show more

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Cited by 9 publications
(10 citation statements)
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References 27 publications
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“…Previous studies tend to focus on only two of the three factors at a time: In terms of the relationship between HIV-1 subtype and pre-therapy CD4 count, our observation agrees with previous reports that pre-therapy subtype D infections are “more aggressive” than subtype A1 by being associated with a lower baseline CD4 count [2,3]. In terms of the relationship between HIV-1 subtype and viral tropism, our observation agrees with previous reports that subtype D is associated with a higher prevalence of non-R5-tropic viruses [7,8,1114]. In terms of the relationship between viral tropism and pre-therapy CD4 count, our observation agrees with previous reports that non-R5 infections are associated with lower CD4 count [10,27,28].…”
Section: Discussionsupporting
confidence: 91%
See 2 more Smart Citations
“…Previous studies tend to focus on only two of the three factors at a time: In terms of the relationship between HIV-1 subtype and pre-therapy CD4 count, our observation agrees with previous reports that pre-therapy subtype D infections are “more aggressive” than subtype A1 by being associated with a lower baseline CD4 count [2,3]. In terms of the relationship between HIV-1 subtype and viral tropism, our observation agrees with previous reports that subtype D is associated with a higher prevalence of non-R5-tropic viruses [7,8,1114]. In terms of the relationship between viral tropism and pre-therapy CD4 count, our observation agrees with previous reports that non-R5 infections are associated with lower CD4 count [10,27,28].…”
Section: Discussionsupporting
confidence: 91%
“…Unlike any of the aforementioned studies [2,3,7,8,1014,27,28] that focused on only two factors at a time, we statistically examined the relationship between all three factors (subtype, tropism and pre-therapy CD4 count) by comparing baseline correlates and clinical outcomes between R5 infections in subtype A1 against D, as well as non-R5 infection in subtype A1 against D, and found no significant differences between groups. In other words, an infection that was both subtype D and non-R5 did not show a synergistic and negative effect at baseline when compared to subtype A non-R5 infections, suggesting that viral tropism, not subtype, drove the previously observed association between both non-R5 tropism and subtype D with a lower pre-therapy baseline CD4 count.…”
Section: Discussionmentioning
confidence: 97%
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“…CXCR4 viruses arise with more advanced immunodeficiency in 40-50% of HIV infected adults, and are associated with rapid HIV disease progression including neurological symptoms such as dementia (Gabuzda & Wang 2000). Several recent studies from Uganda (Kaleebu et al 2007) and Kenya (Wambui et al 2012) demonstrate that the probability of having a CXCR4 virus was higher in HIV subtype D infections compared to subtype A infections. For example, 60% of HIV subtype D cases had CXCR4 co-receptor usage compared to 22% of HIV subtype A cases with CXCR4 co-receptor usage.…”
Section: Discussionmentioning
confidence: 99%
“…The new combined 11/25 and net charge rules for subtype D gave a better performance (92% concordance with 75% sensitivity and 95% specificity) [295]. This new subtype D combined algorithm also showed an improved viral tropism prediction exhibiting 85% concordance with the phenotype assay, with 68% sensitivity and 95% specificity, as compared with geno2pheno and the original combined 11/25 and net charge algorithm, validated by an independent data set of 67 subtype D sequences retrieved from GenBank [296]. …”
Section: Pitfalls Of Co-receptor Usage Predictionmentioning
confidence: 99%