| Literature DB >> 21529376 |
Daniel Dodoo1, Frank Atuguba, Samuel Bosomprah, Nana Akosua Ansah, Patrick Ansah, Helena Lamptey, Beverly Egyir, Abraham R Oduro, Ben Gyan, Abraham Hodgson, Kwadwo A Koram.
Abstract
BACKGROUND: Considering the natural history of malaria of continued susceptibility to infection and episodes of illness that decline in frequency and severity over time, studies which attempt to relate immune response to protection must be longitudinal and have clearly specified definitions of immune status. Putative vaccines are expected to protect against infection, mild or severe disease or reduce transmission, but so far it has not been easy to clearly establish what constitutes protective immunity or how this develops naturally, especially among the affected target groups. The present study was done in under six year old children to identify malaria antigens which induce antibodies that correlate with protection from Plasmodium falciparum malaria.Entities:
Mesh:
Substances:
Year: 2011 PMID: 21529376 PMCID: PMC3101166 DOI: 10.1186/1475-2875-10-108
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Characteristics of the study population
| Characteristics | Cumulative incidence of malaria | Child year at risk | No. of malaria episodes | Incidence rate per 100 child year (95% CI) |
|---|---|---|---|---|
| Age group | ||||
| 12 <24 months | 52.5% (21/40) | 34.9 | 28 | 80 (55, 116) |
| 24 <36 months | 31.5% (17/54) | 46.1 | 24 | 52 (35, 78) |
| 36 <48 months | 12.8% (10/78) | 75.1 | 12 | 16 (9, 28) |
| 48 <60 months | 10.3% (8/78) | 76.4 | 9 | 12 (6, 23) |
| 60 <73 months | 10.8% (7/65) | 62.2 | 7 | 11 (5, 23) |
| Baseline | ||||
| Negative | 41.4% (24/58) | 52.1 | 31 | 59 (42, 84) |
| Positive | 15.2% (39/257) | 242.7 | 49 | 20 (15, 27) |
| TOTAL | 20% (63/315) | 295.1 | 80 | 27 (22, 34) |
Clinical malaria is defined as history of fever or temperature>= 37.5 and parasite density>= 5000 u/l
Figure 1Asymptomatic parasitaemia and clinical malaria episodes; The prevalence of asymptomatic parasitaemia for each month is represented as a bar graph and the pattern of clinical malaria is shown as a line graph.
Figure 2Geometric mean antibody levels by age group. Error bars show 95%CI.
Age-adjusted IRR for the association between total IgG level with clinical malaria
| Antibody | Antigen | Crude IRR (95%CI) | IRR adjusted for age | P-value for adjusted IRR |
|---|---|---|---|---|
| IgG | GLURP-R0 | 0.76 (0.67, 0.86) | 0.85 (0.75, 0.96) | 0.01 |
| GLURP-R2 | 0.65 (0.55, 0.78) | 0.77 (0.65, 0.91) | <0.01 | |
| MSP1-3D7 | 0.72 (0.61, 0.85) | 0.79 (0.69, 0.91) | <0.01 | |
| MSP1-FVO | 0.81 (0.63, 1.06) | 0.73 (0.58, 0.93) | 0.01 | |
| MSP3-3D7 | 0.75 (0.63, 0.89) | 0.86 (0.74, 1.01) | 0.06 | |
| AMA1-3D7 | 0.72 (0.63, 0.82) | 0.80 (0.71, 0.91) | <0.01 | |
| AMA1-FVO | 0.72 (0.62, 0.83) | 0.81 (0.71, 0.93) | <0.01 | |
| AMA1-LR32 | 0.74 (0.64, 0.85) | 0.85 (0.74, 0.96) | 0.01 | |
| EBA-175 | 0.66 (0.56, 0.78) | 0.81 (0.68, 0.97) | 0.02 | |
| LSA-1 | 0.79 (0.64, 0.98) | 0.89 (0.73, 1.09) | 0.26 |
IRRs indicate the ratio of malaria incidence rates associated with a twofold increase in antibody level
Adjusted incidence rate ratios for immunological variables independently associated with malaria risk in the final model
| Immunological variables | Adjusted IRR (95%CI) | Wald P-value | LR test | |
|---|---|---|---|---|
| MSP1-3D7 IgG | Values transformed to log base 2 | 0.84 (0.73, 0.97) | P = 0.02 | |
| AMA1-3D7 IgG | Values transformed to log base 2 | 0.84 (0.74, 0.96) | P = 0.01 | |
| Age group | 12 <24 months | 1 | χ2 = 21.24, p < 0.001 | |
| 24 <36 months | 0.94 (0.44,2.01) | P = 0.88 | ||
| 36 <48 months | 0.33 (0.14,0.77) | P = 0.01 | ||
| 48 <60 months | 0.21 (0.08,0.51) | p < 0.01 | ||
| 60 <73 months | 0.24 (0.09,0.66) | P = 0.01 | ||
IRR indicates the ratio of malaria incidence rates associated with a twofold increase in antibody level; Parasite cut off is 5000+