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. 2008 Aug 21:6:23.
doi: 10.1186/1741-7015-6-23.

Increased deposition of C3b on red cells with low CR1 and CD55 in a malaria-endemic region of western Kenya: implications for the development of severe anemia

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Increased deposition of C3b on red cells with low CR1 and CD55 in a malaria-endemic region of western Kenya: implications for the development of severe anemia

Collins O Odhiambo et al. BMC Med. .

Abstract

Background: Severe anemia due to Plasmodium falciparum malaria is a major cause of mortality among young children in western Kenya. The factors that lead to the age-specific incidence of this anemia are unknown. Previous studies have shown an age-related expression of red cell complement regulatory proteins, which protect erythrocytes from autologous complement attack and destruction. Our primary objective was to determine whether in a malaria-endemic area red cells with low levels of complement regulatory proteins are at increased risk for complement (C3b) deposition in vivo. Secondarily, we studied the relationship between red cell complement regulatory protein levels and hemoglobin levels.

Methods: Three hundred and forty-two life-long residents of a malaria-holoendemic region of western Kenya were enrolled in a cross-sectional study and stratified by age. We measured red cell C3b, CR1, CD55, and immune complex binding capacity by flow cytometry. Individuals who were positive for malaria were treated and blood was collected when they were free of parasitemia. Analysis of variance was used to identify independent variables associated with the %C3b-positive red cells and the hemoglobin level.

Results: Individuals between the ages of 6 and 36 months had the lowest red cell CR1, highest %C3b-positive red cells, and highest parasite density. Malaria prevalence also reached its peak within this age group. Among children </= 24 months of age the %C3b-positive red cells was usually higher in individuals who were treated for malaria than in uninfected individuals with similarly low red cell CR1 and CD55. The variables that most strongly influenced the %C3b-positive red cells were age, malaria status, and red cell CD55 level. Although it did not reach statistical significance, red cell CR1 was more important than red cell CD55 among individuals treated for malaria. The variables that most strongly influenced the hemoglobin level were age, the %C3b-positive red cells, red cell CR1, and red cell CD55.

Conclusion: Increasing malaria prevalence among children >6 to <or= 36 months of age in western Kenya, together with low red cell CR1 and CD55 levels, results in increased C3b deposition on red cells and low hemoglobin. The strong contribution of age to C3b deposition suggests that there are still additional unidentified age-related factors that increase the susceptibility of red cells to C3b deposition and destruction.

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Figures

Figure 1
Figure 1
Age-related changes in hemoglobin concentration, red cell CR1, CD55, and IC binding capacity. For multiple comparison testing all groups were compared with the group formed by collapsing the groups ranging in age from >6 to ≤ 36 months (bracket). P values were adjusted using the Sidak correction for multiple comparisons. * = 0.01 <P ≤ 0.05, ** = P < 0.01. a. Hemoglobin level. Unadjusted ANOVA for differences across groups P = 9.6 × 10-38. After adjustment for red cell CR1, red cell CD55, %C3b-positive red cells, malaria status, and parasite density, significant differences were found as indicated. b. Red cell CR1. Unadjusted ANOVA for differences across groups P = 1.5 × 10-10. After adjustment for malaria status and parasite density differences were found as indicated. c. Red cell CD55. Unadjusted ANOVA for differences across groups P = 6.1 × 10-6. After adjustment for malaria status and parasite density significant differences were found as indicated. ABC = Antibody binding capacity. d. binding capacity. Unadjusted ANOVA for differences across groups P = 0.004. After adjustment for malaria status and parasite density significant differences were found as indicated.
Figure 2
Figure 2
Changes in %C3b-positive red cells, parasite prevalence, and parasite density with age. a.%C3b-positive red cells by age. For multiple comparison testing age groups >6 to ≤ 36 months were collapsed into one. P values were obtained by one-way analysis of variance adjusting for red cell CR1, red cell CD55, IC binding capacity, malaria status, and parasite density.* = 0.01 <P ≤ 0.05, ** = P < 0.01. Sidak correction for multiple comparisons was used. b. Prevalence of parasitemia by age group. c. Parasite density among malaria-positive individuals by age group. Parasite densities were Log10-transformed due to unequal variances between groups. Groups from >6 to ≤ 36 months of age were collapsed into one group and unadjusted comparisons between it and all other groups group were carried out. Sidak correction for multiple comparisons was used; ** = P < 0.01.
Figure 3
Figure 3
Changes in %C3b-positive red cells, CR1, CD55, and hemoglobin according to malaria status. a. %C3b-positive red cells. Unadjusted ANOVA for the difference in %C3b-positive red cells across groups P(malaria-treated) = 2.5 × 10-11, P(aparasitemic) = 1.2 × 10-7. Independent samples t-test for the comparison between malaria-treated and aparasitemic individuals for the indicated age groups, *P = 0.04, P = 2.8 × 10-4, P = 0.09, P = 0.03. b. Red cell CD55. Unadjusted ANOVA for the difference in CD55 across groups, P(malaria-treated) = 0.01 and P(aparasitemic) = 0.05. ABC = Antibody binding capacity. c. Red cell CR1. Unadjusted ANOVA for the difference in CR1 across groups, P(malaria-treated) = 0.02 and P(aparasitemic) = 1.9 × 10-6. Independent samples t-test for the comparison between malaria-treated and aparasitemic individuals for the indicated age groups, *P = 0.01, P = 0.58, P = 0.09. d. Hemoglobin level. Unadjusted ANOVA for the difference in Hgb level across groups, P(malaria-treated) = 9.8 × 10-19, P(aparasitemic) = 3.8 × 10-20. Independent samples t-test for the comparison between malaria-treated and aparasitemic individuals for the indicated age groups, *P = 0.02, P = 0.05, P = 0.03, P = 0.11.

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