Analysis of the diversity of the HIV-1 pol gene and drug resistance associated changes among drug-naïve patients in Burkina Faso.

A cross-sectional study was undertaken among drug-naïve HIV patients at the University Hospital in Ouagadougou shortly before and after the introduction of large-scale antiretroviral therapy (ART) in Burkina Faso. Baseline clinical and virological data as well as protease (PR) and 5' reverse transcriptase (RT) sequences from 104 HIV infected patients were analyzed. Genotypic classification revealed the following subtypes and recombinant forms: CRF06_cpx, n = 46 (44.2%); CRF02_AG, n = 39 (37.5%); subtype A, n = 4 (3.8%); CRF09_cpx, n = 2 (1.9%); and unclassified, n = 13 (12.5%). Bootstrap analysis of CRF02_AG and CRF06_cpx viruses showed that >80% had a similar structure to their respective prototypes. The prevalence of primary drug resistance mutations was 12.5%, all mutations arising in the RT sequences in accordance with the dominance of this drug class in Burkina Faso. The mutations were distributed as follows: NRTI (10.6%): M41L (n = 2), D67N (n = 2), K70K/E (n = 2), L210W (n = 1), T215S/Y (n = 2), and K219K/Q (n = 2); NNRTI (6.1%): K103K/N (n = 2), Y181C (n = 2), G190G/A (n = 1), and P236P/L (n = 1). Subtype specific secondary polymorphisms such as K20I and M36I in the PR were observed in almost all patients. Drug resistance mutations occurred at similar frequencies (12.8% and 10.8%, respectively) among patients infected with CRF02_AG and CRF06_cpx. Some subtype specific polymorphisms were observed within important HLA epitopes, including B35, B7, and A2 in the RT, and A*6802 in the PR sequences. The observed resistance mutations are most likely to have been transmitted based on the timing of the study but prior undocumented use of ART cannot be excluded.

Immune Reconstitution During the First Year of Antiretroviral Therapy of HIV-1-Infected Adults in Rural Burkina Faso.

There are no data on the outcome of highly active antiretroviral therapy (HAART) in HIV-infected adults in rural Burkina Faso. We therefore assessed CD4(+) T-cell counts and HIV-1 plasma viral load (VL), the proportion of naive T-cells (co-expressing CCR7 and CD45RA) and T-cell activation (expression of CD95 or CD38) in 61 previously untreated adult patients from Nouna, Burkina Faso, at baseline and 2 weeks, 1, 3, 6, 9 and 12 months after starting therapy. Median CD4(+) T-cell counts increased from 174 (10(th)-90(th) percentile: 33-314) cells/µl at baseline to 300 (114- 505) cells/µl after 3 months and 360 (169-562) cells/µl after 12 months of HAART. Median VL decreased from 5.8 (4.6- 6.6) log10 copies/ml at baseline to 1.6 (1.6-2.3) log10 copies/ml after 12 months. Early CD4(+) T-cell recovery was accompanied by a reduction of the expression levels of CD95 and CD38 on T-cells. Out of 42 patients with complete virological follow-up under HAART, 19 (45%) achieved concordant good immunological (gain of ≥100 CD4(+) T-cells/µl above baseline) and virological (undetectable VL) responses after 12 months of treatment (intention-to-treat analysis). Neither a decreased expression of the T-cell activation markers CD38 and CD95, nor an increase in the percentage of naive T-cells reliably predicted good virological treatment responses in patients with good CD4(+) T-cell reconstitution. Repeated measurement of CD4(+) T-cell counts during HAART remains the most important parameter for immunologic monitoring. Substitution of repeated VL testing by determination of T-cell activation levels (e.g., CD38 expression on CD8(+) T-cells) should be applied with caution.

Activation and maturation of peripheral blood T cells in HIV-1-infected and HIV-1-uninfected adults in Burkina Faso: a cross-sectional study.

BACKGROUND: We wanted to explore to what extent environmental exposure to immune stimulants, which is expected to be more present in rural than in urban settings, influences T cell activation and maturation in healthy and in HIV-1-infected individuals in Burkina Faso in west Africa. METHODS: The proportion of circulating naïve T cells and the expression of the T cell activation markers, CD95 and CD38, were analyzed by immunophenotyping and three-colour flow cytometry in 63 healthy individuals and 137 treatment-naïve HIV-1-infected subjects from Ouagadougou (urban setting) and 26 healthy adults and 61 treatment-naïve patients from Nouna (rural). RESULTS: A slightly higher activation level of CD4(+) and CD8(+) peripheral blood T cells was seen in healthy adults living in Nouna than in those living in Ouagadougou. The percentages of naïve CD45RA(bright) CCR7(+) T cells were not significantly different between both study sites. Taking into consideration that relatively more HIV-1-infected patients in Nouna were in an advanced disease stage, no relevant differences were seen in T cell activation and maturation between patients at both study sites. As expected, the percentage of CD95(+) CD4(+) and CD38(+) CD8(+) T cells and the respective antigen density on these cells was significantly higher in patients than in controls in both settings. The percentage of naïve CD8(+) T cells was lower in HIV-1-infected subjects than in healthy controls irrespective of the study site, while a lower proportion of naïve CD4(+) T cells in patients compared with controls was seen only in Nouna. CONCLUSIONS: Environmentally triggered immune activation may contribute to the increased expression of the activation markers CD95 and CD38 on peripheral blood T cells from healthy adults living in rural versus urban settings in Burkina Faso. T cell activation is further increased in HIV-1-infected individuals due to T cell loss and high plasma viral load levels. The observed variations in T cell activation levels or the proportion of naïve T cells in our study patients, however, are not explained by differences in CD4(+) T cell counts or HIV-1 plasma viral load levels alone.

HIV drug resistance pattern among HAART-exposed patients with suboptimal virological response in Ouagadougou, Burkina Faso.

OBJECTIVE: Determine the pattern of drug resistance among HIV infected drug exposed patients failing therapy in Ouagadougou, Burkina Faso. METHODS: The protease (PR) and reverse transcriptase (RT) of 87 samples from 75 treatment exposed HIV infected patients failing therapy were PCR amplified, sequenced, subtyped and analyzed for the presence of drug resistance mutations. RESULTS: The most common drugs used were 3TC, AZT (or d4T) and EFV. The dominant subtypes were CRF06_cpx (48%) and CRF02_AG (40%). The prevalence of resistance mutations among patients failing therapy was: PR inhibitors (PI), 40%; non-nucleoside RT-inhibitors (NNRTI), 76% and nucleoside RT-inhibitors (NRTI), 85%. Dominant mutations included M46I (37%), 154V (26%), V82A/T/F (30%) in PR; K103N (44%), G190A/S (16%) and T215F/Y (48%) (NRTIs) in RT. Some resistance mutations, notably D67N/G, K70R and L210W (thymidine analogue mutations-TAMs); K101E, V179E in RT, 154V, V82A/T/F and L90M in PR were significantly higher among CRF06_cpx than CRF02_AG strains (P < 0.05). Although not significant, other TAMs (M41L, T215F/Y, K219Q/E) also occurred more frequently among CRF06_cpx strains as well. CONCLUSION: There is a high prevalence of drug resistance mutations among ARV exposed patients in Burkina Faso with an unexpected subtype-specific difference. Validation of this result will require larger sample sizes and in vitro drug susceptibility studies with CRF06_cpx strains.