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. 2006 Mar;6(1):3-13.
doi: 10.5555/afhs.2006.6.1.3.

Viral load, CD4+ T-lymphocyte counts and antibody titres in HIV-1 infected untreated children in Kenya; implication for immunodeficiency and AIDS progression

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Viral load, CD4+ T-lymphocyte counts and antibody titres in HIV-1 infected untreated children in Kenya; implication for immunodeficiency and AIDS progression

Washingtone Ochieng et al. Afr Health Sci. 2006 Mar.

Abstract

Background: There are limited reports on HIV-1 RNA load, CD4+ T-lymphocytes and antibody responses in relation to disease progression in HIV-1 infected untreated children in Africa.

Methods: To describe the relationships between these parameters, we conducted a longitudinal cohort study involving 51 perinatally HIV-1 infected children aged between 1 and 13 years. HIV status was determined by ELISA and confirmed by western blot and PCR. Antibodies were quantified by limiting dilution ELISA, plasma HIV-1 RNA load by RT-PCR and CD4+ T-lymphocytes by FACSCount.

Results: Asymptomatic and symptomatic disease had, respectively, a rise in median HIV-1 RNA load from 1,195 to 132,543 and from 42,962 to 1,109,281 copies/ml in children below 6 years. The increase in viral load was 10-fold higher for asymptomatic compared to other categories and 2-fold faster for children less than 6 years than those above. Similarly, symptomatic children below 6 years had initial median CD4+ T-lymphocyte counts of 647 (22%) cells/muL, declining to 378 (20%) while those above 6 years had initial values of below 335 (15%) but which increased to 428 (17%). Median viral load correlated significantly with median CD4+ T-lymphocyte percentage in children above 6 years (p=0.026) but not below.

Conclusions: Viral load is lower in older than younger children and correlates significantly with percentage CD4+ T-lymphocytes. Survival by HIV-1 infected children requires a competent immune response early in infection to counter the rapidly replicating virus. Interventions aimed at boosting the naïve immune system may prolong survival in these children.

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Figures

Figure IA
Figure IA. Western Blot
Figure 1A shows Western blot profile for 3 initially antibody positive but later negative (lanes 1–3) and some selected antibody indeterminate (lanes 4–7) children. (++) strong positive; (+-) weak positive and (-) negative control serum
Figure IB
Figure IB
Figure 1B shows gag (upper panel) and pol (lower panel) proviral HIV-1 DNA nested PCR for children with indeterminate anti-HIV-1 antibodies and typical positive (lanes 1–10) or negative (lane 11) results. Column M shows the separation of a 100 base-pairs DNA ladder while + and - represents positive and negative control human DNA respectively.
Figure 2
Figure 2
Figure 2 is a bar graph showing median anti HIV-1 antibody titres against respective grouping categories. Antibody titres were measured over a 2-time point period separated by a 4-months interval and reported as reciprocal end-point titres. Data was acquired using Statistical Package for Social Scientists (SPSS) and graphs generated using Microsoft Excel. Log-transformed medians of grouped data were analysed as described under statistical methods' section.
Figure 3
Figure 3
Figure 3 is a profile (line) plot showing trends in median log transformed HIV-1 RNA (viral) load during infection for different categories or groups of children. Viral loads were measured over a 3-time point period separated by a 4-months interval and reported as medians of log-transformed HIV-1 RNA copies per millilitre plasma. Data was acquired using Statistical Package for Social Scientists (SPSS) and graphs generated using Microsoft Excel. Log-transformed medians of grouped data were analyzed as described under statistical methods' section.
Figure 4
Figure 4
Figure 4 is a profile (line) plot showing progression of CD4+T-lymphocyte percentage during infection. CD4+T-lymphocytes were measured over a 3-time point period separated by a 4-months interval and reported as median counts per microlitre blood or as percentage of total (CD3+) T-Lymphocytes for different categories. Data was acquired using Statistical Package for Social Scientists (SPSS) and graphs generated using Microsoft Excel. Analyses have been described under statistical methods' section.

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