India
Research Article
Prediction of High Level of Multiple Drug Resistance Mutations in HIV-1 Subtype C Reverse Transcriptase Gene among First Line Antiretroviral-Experienced Virological Failure Patients from North India Using Genotypic and Docking Analysis
Author(s): Jaideep S Toor, Rajender Kumar, Prabha Garg, Aman Sharma and Sunil K AroraJaideep S Toor, Rajender Kumar, Prabha Garg, Aman Sharma and Sunil K Arora
Background: Virologic failures and development of drug resistance can result in reduced treatment options in HIV infection.
Methods: RT sequence of HIV-1 subtype C isolates from 122 Antiretroviral Therapy (ART) naive and 13 virological and first line regimen failures from North India were analyzed. Mutations were defined according to Stanford Drug Resistance data base. A three dimensional HIV-1 subtype C specific computational model of RT was created from consensus sequences from naïve patients to analyze mutations in therapy failures. CD4 count and viral load were measured to analyze the disease status and subtyping was done using Genotyping NCBI HIV subtyping tool.
Results: All thirteen isolates from first-line ART-failure patients had mutations effecting susceptibility to RTI drugs when analyzed using Stanford DR HIV-1 database. The most common NRTI resistance .. Read More»
DOI:
10.4172/2155-6113.S5-005
Journal of AIDS & Clinical Research received 5264 citations as per Google Scholar report