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Co-receptor tropism prediction among 1045 Indian HIV-1 subtype C sequences: Therapeutic implications for India.


ABSTRACT:

Background

Understanding co-receptor tropism of HIV-1 strains circulating in India will provide key analytical leverage for assessing the potential usefulness of newer antiretroviral drugs such as chemokine co-receptor antagonists among Indian HIV-infected populations. The objective of this study was to determine using in silico methods, HIV-1 tropism among a large number of Indian isolates both from primary clinical isolates as well as from database-derived sequences.

Results

R5-tropism was seen in 96.8% of a total of 1045 HIV-1 subtype C Indian sequences. Co-receptor prediction of 15 primary clinical isolates detected two X4-tropic strains using the C-PSSM matrix. R5-tropic HIV-1 subtype C V3 sequences were conserved to a greater extent than X4-tropic strains. X4-tropic strains were obtained from subjects who had a significantly longer time since HIV diagnosis (96.5 months) compared to R5-tropic strains (20.5 months).

Conclusions

High prevalence of R5 tropism and greater homogeneity of the V3 sequence among HIV-1 subtype C strains in India suggests the potential benefit of CCR5 antagonists as a therapeutic option in India.

SUBMITTER: Neogi U 

PROVIDER: S-EPMC2918521 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature

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Co-receptor tropism prediction among 1045 Indian HIV-1 subtype C sequences: Therapeutic implications for India.

Neogi Ujjwal U   Prarthana Sreenivasa B SB   D'Souza George G   Decosta Ayesha A   Kuttiatt Vijesh S VS   Ranga Udaykumar U   Shet Anita A  

AIDS research and therapy 20100721


<h4>Background</h4>Understanding co-receptor tropism of HIV-1 strains circulating in India will provide key analytical leverage for assessing the potential usefulness of newer antiretroviral drugs such as chemokine co-receptor antagonists among Indian HIV-infected populations. The objective of this study was to determine using in silico methods, HIV-1 tropism among a large number of Indian isolates both from primary clinical isolates as well as from database-derived sequences.<h4>Results</h4>R5-  ...[more]

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