| Literature DB >> 23300828 |
Frances Ibison1, Ally Olotu, Daniel M Muema, Jedida Mwacharo, Eric Ohuma, Domtila Kimani, Kevin Marsh, Philip Bejon, Francis M Ndungu.
Abstract
BACKGROUND: Although antibodies are critical for immunity to malaria, their functional attributes that determine protection remain unclear. We tested for associations between antibody avidities to Plasmodium falciparum (Pf) antigens and age, asymptomatic parasitaemia, malaria exposure index (a distance weighted local malaria prevalence) and immunity to febrile malaria during 10-months of prospective follow up.Entities:
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Year: 2012 PMID: 23300828 PMCID: PMC3530478 DOI: 10.1371/journal.pone.0052939
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of the study subjects.
| Sample size, number (No.) | 275 |
| Females: No. (%) | 139 (50.6%) |
| Males: No. (%) | 136 (49.4%) |
| Mean age (years) ± SD | 6.18±2.46 |
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| 263 (95.6%) |
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| 3.27 |
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| 0–12 |
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| 11.40±11.04 |
| Asymptomatic parasitaemia at sampling - No. (%) | 45 (16.4%) |
Previous episodes only refer those clinical malaria episodes that occurred before May 2009, the sampling date.
Figure 1Relationships of antibody levels and avidities with age.
Antibody levels and avidity indices for each antigen are plotted against age. Linear regression lines are shown, as are the associated R squared and P values.
Figure 2Antibody levels but not avidities were elevated in the presence of asymptomatic parasitaemia.
Antibody levels (top panel) and avidities (lower panel) for children with (open symbols) and without (filled symbols) asymptomatic P. falciparum parasitaemia as determined by use of blood-films at sampling. Horizontal bars are medians. Statistical significance of differences was determined by Wilcoxon rank-sum test.
Multivariable analysis of association between EI, age and cross sectional parasitaemia with antibody levels and avidities.
| AMA1 | MSP1 | MSP3 | |||||
| Antibody levels | Covariate | Coefficient (95% CI) |
| Coefficient (95% CI) |
| Coefficient (95% CI) |
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| EI | 2.07 (0.90–3.24) |
| 1.89 (0.65–3.07) |
| 1.30 (0.43–2.17) |
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| Age (months) | 0.04 (0.03–0.05) |
| 0.01 (−0.001–0.01) | 0.07 | 0.02 (0.02–0.03) |
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| Parasitaemia | 1.05 (0.48–1.61) |
| 0.94 (0.35–1.54) |
| 0.73 (0.30–1.16) | 0.001 | |
| Antibody avidities | EI | −0.36 (−1.32–0.60) | 0.46 | −0.67 (−3.14–1.48) | 0.13 | 0.06 (−1.05–1.17) | 0.9 |
| Age (months) | 0.005(−0.002–0.01) | 0.18 | −0.02 (−1.57–−0.20) |
| −0.001 (−0.01–0.01) | 0.8 | |
| Parasitaemia | −0.42(−0.47–0.39) | 0.85 | −0.92 (−1.33–−0.50) |
| −0.03 (−0.51–0.46) | 0.9 | |
Data was analysed by multivariable linear regression.
Figure 3Comparisons of antibody avidities to AMA1, MSP1 and tetanus toxoid (TT).
Children, rural-adults and urban-adults are represented by filled, half-filled and open symbols, respectively. Solid lines represents medians. Statistical significance between pairs of groups was determined with the Kruskal-Wallis test (* P<0.05, ** P<0.01, *** P<0.001).
Prospective association between antibody levels and avidities at baseline with the risk of malaria during 10-months follow up.
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| Covariate | Hazard Ratio | 95% Confidence Interval | P value | IRR | 95% Confidence Interval | P value |
| AMA1 antibody level | 0.97 | 0.81–1.16 | 0.72 | 0.97 | 0.89–1.06 | 0.51 |
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| 0.96 | 0.82–1.12 | 0.58 |
| MSP1 antibody level | 0.94 | 0.79–1.11 | 0.46 | 0.93 | 0.86–1.02 | 0.12 |
| MSP1 antibody AI | 1.02 | 0.85–1.24 | 0.81 |
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| MSP3 antibody level | 0.96 | 0.76–1.21 | 0.73 | 0.93 | 0.80–1.07 | 0.32 |
| MSP3 antibody AI | 1.05 | 0.86–1.27 | 0.65 | 1.04 | 0.936–1.16 | 0.44 |
| Age (months) | 0.99 | 0.98–1.00 | 0.10 | 1.00 | 0.99–1.00 | 0.26 |
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Summary of a multivariable Cox and Poisson Regression models for both Antibody levels and avidities, controlling for age, baseline parasitaemia and exposure index. AI, avidity index; IRR, Incidence Risk Ratio.