HIV Type 1 Genetic Diversity In Selected Counties Of Kenya

Show simple item record

dc.contributor.advisor Prof. Washingtone Ochieng’ KEMRI, KENYA Prof. Anne W. T. Muigai, JKUAT, KENYA
dc.contributor.author Kitawi, Rose Chari
dc.date.accessioned 2017-01-11T09:57:11Z
dc.date.available 2017-01-11T09:57:11Z
dc.date.issued 2017-01-11
dc.identifier.uri http://hdl.handle.net/123456789/2436
dc.description Msc Thesis (Epidemiology) en_US
dc.description.abstract The human immunodeficiency virus (HIV) is one of the most highly genetically diverse viruses known. This extensive genetic variation has many implications on anti-retroviral drug response, viral transmission and vaccine and diagnostics designs and development. A few studies conducted over the last 10 years have shown that HIV-1A is the predominant subtype circulating in Kenya, although there is evidence of increasing emergence of subtypes C and D. This cross-sectional study was conducted in Kisumu and Homabay, Kajiado, Nakuru, Kiambu and Kilifi Counties as part of a countrywide genetic study of HIV-1 diversity. The aim was to describe HIV-1 subtype diversity in the designated counties and the tropism and potential N-linked glycosylation site (PNGs) patterns of the isolates obtained. Five ml of blood was obtained from consenting HIV-1 positive patients and processed to obtain plasma and cells. The plasma was used to obtain viral RNA from the free virus and cells were used to obtain viral DNA. The nucleic material obtained was amplified using polymerase chain reaction (PCR), purified and then sequenced. The sequences were used to conduct phylogenetic analysis so as to deduce evolutionary patterns of HIV-1 using distance matrix. Co-receptor usage and potential N-linked Glycosylation (PNG) patterns of HIV-1 envelop was examined using generic bioinformatics tool. The results showed that subtype A1 is the predominant subtype (70%) although the percentage of recombinants is increasing. With up to 30% recombinant strains observed in the pol RT region, recombination appeared to be highest in the cell-free compartment (in plasma)- 31.8%, than in cellular compartment– 10.5%. The partial envelope sequences were also examined for coreceptor usage and the patterns of PNGs. At three False Positive Rate (FPR) cut-off points for CXCR4 usage i.e. 5%, 10% and 20%, the relationship between subtype and viral tropism was found to be significant (p=0.037; p=0.016 and p=0.005 for FPR of 5%, 10% and 20% respectively) using χ2 test. A significant difference was found between subtype and mean PNGs, using ANOVA, at specific amino acid positions - N296 (p=0.021), N302 (p=0.034) and N366 (p=0.016) but not for the specific PNG patterns examined (NXT, NXS and NNX(S)T). Although R5-tropic isolates had fewer PNGs, on average, than X4-tropic isolates, the difference was not significant (p=0.303). The trend of R5-tropic isolates having more PNGs than the X4-tropic isolates was observed for subtype A1 and not the other subtypes. A significant difference was found when PNGs were examined by nucleic acid source for the NXT pattern (p=0.016), and when total PNGs for all xvii patterns was considered (p=0.011); with the DNA isolates having more PNGs or average than the RNA virus. The PNG pattern results obtained call for more studies to be done on subtype A1 as it has unique characteristics in the PNG pattern. Continued surveillance of the prevailing subtypes in the different regions in the country will help monitor the transmission patterns of the virus and therefore help in coming up with adequate measures to reduce infection rates. en_US
dc.language.iso en en_US
dc.publisher COHES, JKUAT en_US
dc.subject Msc Thesis (Epidemiology) en_US
dc.title HIV Type 1 Genetic Diversity In Selected Counties Of Kenya en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

  • College of Health Sciences (COHES) [755]
    Medical Laboratory; Agriculture & environmental Biotecthology; Biochemistry; Molecular Medicine, Applied Epidemiology; Medicinal PhytochemistryPublic Health;

Show simple item record

Search DSpace


Browse

My Account