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In a Nairobi-Kenyan cohort of 50 HIV-1 positive patients, we analysed the prevalence of HIV-1 subtypes and human leucocyte antigen (HLA) alleles. From this cohort, 33 patients were selected for the analysis of HIV-1 infection progression markers (i.e. CD4 cell counts and viral loads) and their association with HIV-1 genetic variability and subtype, and patient's HLA type. HIV-1 gag genetic variability, analysed using bioinformatics tools, showed an inverse relationship with CD4 cell count whereas with viral load that relationship was direct. Certain HLA types and viral subtypes were also found to associate with patients' viral load. Associations between disease parameters and the genetic makeup of the host and virus may be crucial in determining the outcome of HIV-1 infection.

Original publication

DOI

10.1007/s00430-013-0314-1

Type

Journal article

Journal

Med Microbiol Immunol

Publication Date

02/2014

Volume

203

Pages

57 - 63

Keywords

Adult, Alleles, Biomarkers, CD4 Lymphocyte Count, Disease Progression, Female, Gene Frequency, Genes, gag, Genetic Variation, Genotype, HIV Infections, HIV-1, HLA Antigens, Humans, Male, Middle Aged, Viral Load, Young Adult