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Temporal stability of naturally acquired immunity to Merozoite Surface Protein-1 in Kenyan Adults



Naturally acquired immunity to blood-stage Plasmodium falciparum infection develops with age and after repeated infections. In order to identify immune surrogates that can inform vaccine trials conducted in malaria endemic populations and to better understand the basis of naturally acquired immunity it is important to appreciate the temporal stability of cellular and humoral immune responses to malaria antigens.


Blood samples from 16 adults living in a malaria holoendemic region of western Kenya were obtained at six time points over the course of 9 months. T cell immunity to the 42 kDa C-terminal fragment of Merozoite Surface Protein-1 (MSP-142) was determined by IFN-γ ELISPOT. Antibodies to the 42 kDa and 19 kDa C-terminal fragments of MSP-1 were determined by serology and by functional assays that measure MSP-119 invasion inhibition antibodies (IIA) to the E-TSR (3D7) allele and growth inhibitory activity (GIA). The haplotype of MSP-119 alleles circulating in the population was determined by PCR. The kappa test of agreement was used to determine stability of immunity over the specified time intervals of 3 weeks, 6 weeks, 6 months, and 9 months.


MSP-1 IgG antibodies determined by serology were most consistent over time, followed by MSP-1 specific T cell IFN-γ responses and GIA. MSP-119 IIA showed the least stability over time. However, the level of MSP-119 specific IIA correlated with relatively higher rainfall and higher prevalence of P. falciparum infection with the MSP-119 E-TSR haplotype.


Variation in the stability of cellular and humoral immune responses to P. falciparum blood stage antigens needs to be considered when interpreting the significance of these measurements as immune endpoints in residents of malaria endemic regions.


Individuals living in areas where transmission of Plasmodium falciparum is intense and stable develop naturally acquired immunity that is characterized by a high degree of protection against high-density parasitaemia and clinical illness. This immunity develops as a consequence of experiencing multiple episodes of blood stage infection throughout infancy and childhood, and may be lost, or markedly diminished, in the absence of periodic boosting by clinically asymptomatic blood stage infections during adulthood [1]. Adaptive cellular and humoral immune responses to blood stage malaria antigens may be influenced by the intensity and temporal pattern of exposure to infective mosquitoes, the duration and intensity of parasitaemia, the severity of illness, and the degree of immune system maturity [1, 2]. Appreciating the contribution of these environmental variables and understanding how they influence discrete immune measurements is complicated by observations that malaria infection can suppress T cell responses while boosting B cell and antibody responses, with age as an important confounder [3, 4].

Many studies have examined the relationship between antibody responses to P. falciparum merozoite antigens and susceptibility to blood stage infection or mild malaria during childhood. Some, but not all, have reported a significant association of IgG antibody levels to the C-terminal region of MSP-1 with parasitological and clinical phenotypes such as parasitaemia and fever with parasitaemia [510]. The decay of anti-malarial IgG antibodies has been examined in Kenyan children who present with acute mild malaria. The half life of IgG3 and IgG1 antibodies to C-terminal region of MSP-1, Apical Membrane Antigen 1, and Erythrocyte Binding Antigen 1 is estimated to be 6.1 to 9.8 days [11]. On the other hand, antibodies to MSP-142 appear to persist for at least four months in residents of hypoendemic regions of the Peruvian Amazon [12]. There have been fewer descriptions of how T cell immunity to blood stage antigens varies over time [1316], and whether T cell and antibody responses are concordant in the same individuals. An appreciation of this aspect of naturally acquired immunity is important to the identification and interpretation of immune assays that may be used as primary and secondary endpoints in clinical vaccine trials that assess immunogenicity and protective efficacy in malaria endemic populations.

The goal of this study was to advance understanding of the temporal stability of quantifiable immune responses to the C-terminal region of P. falciparum MSP-1 by adults who are clinically immune to malaria. Assays that measure immune responses to the 3D7 and FVO alleles of the C-terminal fragment of MSP-1, both of which have been included in recent clinical vaccine trials [1719], were employed. In addition, in order to determine whether time-related changes in anti-MSP-1 antibody levels reflect changes in functional antibody responses to the broad repertoire of merzoite antigens that affect parasite growth in vitro, GIA responses to P. falciparum were quantified.


Study population

Ethical approval was obtained from the Institutional Review Board for Human Investigation at University Hospitals Case Medical Center and the Ethical Review Committee at the Kenya Medical Research Institute. Twenty-four healthy asymptomatic adult female (n = 7) and male residents (n = 17) with respective median ages 34 and 44 years (age range 18–79 years) from Kanyawegi sub-location, Nyanza Province, Kenya participated in this study. A total of six blood samples from each individual were collected over a period of nine months. Three venous blood samples (20 ml) were collected at three-week intervals from August to October 2004 during a period of relatively low malaria transmission, and again (three collections at three-week intervals) from April to May 2005 during a period of high malaria transmission. Data collected at each time point included the reported history of recent febrile illness, demographic information (age, gender and family household members) and the level of asexual parasitaemia by blood smear. Data from the 16 participants who provided blood samples at all 6 time points are included in the analysis. All of these individuals remained asymptomatic and reported taking no malaria medication during the nine-month period observation.

Blood smear examination

Thick and thin blood smears were prepared, fixed in 100% methanol, stained with 5% Giemsa solution, and examined by light microscopy for P. falciparum-infected erythrocytes. The density of parasitaemia was expressed as the number of asexual P. falciparum per μl blood assuming a leukocyte count of 8,000 per μl.


IFN-γ ELISPOT was performed as described previously [13, 16, 20]. Briefly, peripheral blood mononuclear cells (PBMCs) were separated from heparin anti-coagulated blood by Ficoll-Hypaque gradient centrifugation and incubated for 3.5 days with culture medium alone, 5 μg/ml 3D7 MSP-142 or FVO MSP-142 (provided by Carole Long, Malaria Vaccine Development Unit, NIAID, NIH, Rockville, MD) or 1 μg/ml PHA in microtiter plates coated with 5 μg/ml of primary anti-IFN-γ antibody (Endogen M-700A, Worcester, MA). IFN-γ secreting cells were detected after removal of PBMCs and addition of 0.75 μg/ml of biotinylated secondary anti-IFN-γ antibody (Endogen M-700B) followed by horseradish-peroxidase conjugated strepavidin peroxidase (DAKO PO397) and 1% 3-amino-9-ethyl-carbazole substrate in -0.1 mol/L acetate buffer. Spot Forming units (SFU) were counted by Immunospot Satellite analyzer (Cellular Technology, Cleveland OH). An IFN-γ ELISPOT assay was considered positive if the frequency of SFU for PBMCs incubated with MSP-142 or PHA was significantly greater (p < 0.05) than culture medium alone using a chi-square Fisher's exact test. Only PBMC samples with strong positive IFN-γ responses to PHA were included in the analysis (n = 88).

IgG antibody measurements

IgG antibodies to recombinant 3D7 (E-TSR) and FVO (Q-KNG) alleles of P. falciparum MSP-142 were quantified serologically by ELISA as described previously [21]. Briefly, Immunolon 4 plates were coated with 0.1 μg per ml of the 3D7 or FVO allele of MSP-142. Plasma from nine North American adults never exposed to malaria was used as a negative control. Plasma from four known malaria immune Kenyan adults was pooled to create a positive standard. A standard curve was performed for each plate tested. The value obtained with a 1:50 dilution of the positive pool was designated as 100 arbitrary units (AU), 1:100 dilution as 50 AU, 1:200 dilution as 25 AU, 1:500 dilution as 10 AU, 1:1,000 dilution 5 AU, and 1:2,000 dilution as 1 AU. A four-parameter standard fit curve was constructed from the positive control plasma pool and applied to sample values. Positive values were greater than the mean + 3 SD of the value of the individual negative control plasma samples.

Methods to quantify MSP-119-specific IIA were as described previously [20, 22]. Briefly, D10-PfM3' which encodes the MSP-119MAD20/3D7/E-TSR allele and an isogenic D10-PcMEGF parasite line in which the antigenically unrelated P. chabaudi ortholog replaces P. falciparum MSP-119 were tested in parallel. Ring-stage parasites were synchronized twice by sorbitol lysis and allowed to mature to late trophozoite/schizont stages. Purified parasites were adjusted to 4% haematocrit with 0.5% infected red cells, and 50 μl aliquots were placed in 96-well flat-bottom microtiter plates with an equal volume of 1:5 pre-diluted plasma in culture medium (final plasma dilution 1:10, final volume 100 μl). The same batch of pre-diluted plasma was added to the two parasite lines in the same assay. The cultures were incubated for 26 hours to allow for schizont rupture and merozoite invasion. 25 μl of re-suspended cultures were removed, fixed with 0.25% gluteraldehyde in PBS for 45 min, and placed in 1 μg Hoechst 33342 (HO) stain (Molecular Probes, Eugene, Oregon) in 400 μl 1× PBS for >24 hours at 4°C [23, 24]. Stained cells were examined using the UV laser on a BD LSR II flow cytometer to collect data from a minimum of 5 × 104 cells using Becton-Dickinson FACS Diva 5.01. Ring parasitaemia was calculated by quantifying singly infected erythrocytes plus multiply infected erythrocytes (quantified as having two rings) according to flow cytometry gating previously described [24]. FlowJo 8.5.1 was used to analyse cytometry data. The mean number of ring-stage parasitaemia for duplicate wells was calculated, and results expressed as a percentage of the ring-stage parasitaemia of non-immune control plasma (derived from non-malaria exposed adults) in parallel cultures. The percent change of invasion inhibition attributable to anti-MSP-119 antibodies was calculated by subtracting the percent invasion of D10-PfM3' relative to non-immune controls from the percent invasion of D10-PcMEGF relative to non-immune controls. A positive response was defined as ≥ 5% inhibition attributable to MSP-119 IIA. Overall antibody-mediated GIA was determined from results of the MSP-119 IIA assay using growth of the D10-PfM3' line only. Growth inhibition based on duplicate wells was calculated with the following equation: 100 – (test plasma parasitaemia/non-immune plasma parasitaemia) × 100. Plasma from four malaria naïve US adults was pooled as the non-immune plasma controls. A positive response was defined as ≥ 15% D10 inhibition.

MSP-119 haplotype determination

DNA was extracted from 200 μl venous blood using QIAamp DNA blood mini kit (Qiagen Corp, Valencia, CA). Methods to quantify the four major MSP-119 haplotypes by PCR/ligase detection reaction fluorescent microsphere assay (PCR/LDR-FMA) were as described previously [25].

Rainfall data

Monthly rainfall data for the Kisumu area was purchased from the Kenyan Ministry of Transport, Kenya Meteorological Department. Rainfall from July 2004 to July 2005 was recorded as mm per month.

Statistical analysis

Kappa analyses were conducted using SAS Version 8.2 (Carey, NC).

Quantitative differences between experimental groups were evaluated by paired t test. Pearson's correlation was used to compare MSP-119-specific IIA results with serologically determined anti-MSP-142 IgG antibody and responses measured at each time point within each assay. Generalized Estimating Equation (GEE) was utilized to examine repeated immune correlates of protection dichotomous values over time from the same individual. Mixed linear model was utilized to examine repeated immune correlates of protection continuous values over time from the same individual.


Dichotomous immune outcomes and temporal stability

Ninety-six determinations (16 individuals examined at six time points) were made for each of the four tests. The percent positive outcomes for each test were 70% for MSP-142 IgG ELISA (3D7 and FVO alleles considered together), 46% for overall GIA, 41% for MSP-119-specific IIA, 67% for T cell 3D7 MSP-142 specific IFN-γ production, and 10% for T cell FVO MSP-142 specific IFN-γ production. T cell responses to FVO MSP-142 were disproportionately low in this population and not evaluated further. Thirty-three percent of the positive immune outcomes were observed coincidental with a P. falciparum-positive blood smear.

The kappa test of agreement between paired samples was used to determine the stability of immune measurements over four time intervals: three weeks, six weeks, six months, and nine months. Immune assay results were expressed as positive or negative using criteria described in the methods section. Kappa test establishes the percent agreement of responses beyond chance such that consistent positive responses and/or consistent negative responses generate higher kappa scores. A kappa score of 0.81–1.00 was regarded as "almost perfect" and considered to reflect consistent positive or negative results between paired samples over a specified time interval. A score of 0.61–0.80 was regarded as "substantial agreement." A score of 0.41–0.60 was regarded as "moderate agreement," a score of 0.21–0.4 as "fair agreement", and a score <0.20 as "slight agreement [26, 27]." Figure 1 illustrates the kappa values for each time interval assessed. Each time interval was assessed independently. Kappa scores for 3D7 MSP-142 stimulated IFN-γ production indicate fair to moderate temporal stability over the time intervals examined. In contrast, kappa scores for serologically determined IgG antibody to FVO MSP-142 indicate essentially substantial stability for all time intervals tested. IgG antibody to 3D7 MSP-142 shows good stability over three- and six-week intervals, which decreased over the six-month interval. GIA appears to be moderately stable over time intervals as long as six months. 3D7 MSP-119-specific IIA demonstrates fair stability at three-week intervals that disappears at longer time intervals. In summary, IgG antibody to 3D7 and FVO MSP-142 measured serologically by ELISA were the most stable over time, followed by 3D7 MSP-142 IFN-γ responses and GIA. MSP-119 IIA was the least stable over time with essentially no consistent response lasting more than three weeks.

Figure 1
figure 1

Temporal stability of five immunologic assays at various time intervals. X axis: The first group of columns represents assays performed at four different 3-week intervals (Aug. 24 to Sept. 15, Sept. 15 to Oct 6, Apr. 6 to May 5, May 5 to May24). The second group of columns represents assays performed at two different 6-week intervals (Aug. 24 to Oct. 6, Apr. 6 to May 24). The single columns at far right represent assays performed at a single 6-month (Oct. 6 to Apr. 6) and 9-month interval (Aug. 24 to May 24). Horizontal dotted lines across 3-week or 6-week columns indicate average kappa scores. Sample number comparison represented by each column is 16 unless otherwise specified. Y axis: Kappa score: Scores of 0.81–1.0, 0.61–0.80, 0.41–0.60, 0.21–40, and <0.20 indicate, respectively, almost perfect agreement and high stability, substantial stability, moderate stability, fair stability, and slight to no stability. A: 3D7 MSP-142 stimulated INF-γ production measured by ELISPOT. Kappa scores indicate moderate temporal stability over 3-week intervals (0.41) with fair stability (0.22) at 6-week intervals. Sample number for each column from left to right is 15, 10, 11, 12, 14, 16, and 16. B: 3D7 MSP-142 IgG measured by ELISA. Kappa scores indicate high (0.86) and substantial temporal stability (0.72) over 3-week and 6-week intervals. At 6-month and 9-month intervals, stability was fair and moderate. C: FVO MSP-142 IgG measured by ELISA. Kappa scores indicate high to substantial temporal stability for all time intervals tested. The average kappa score for 3-week and 6-week intervals is 0.91 and 0.82. D: MSP-119 IIA. Kappa score at 3-week interval (0.31) indicates fair temporal stability that disappears at longer time intervals. E. Growth Inhibitory Assay (GIA). Kappa scores at 3-week (0.37), 6-week (0.51), and 6-month interval indicate fair to moderate stability. The kappa score at the 9-month interval (0.20) indicated the lowest degree of temporal stability.

The GEE final model included categorical data for blood smear positivity, sex, IFN-γ response, GIA, MSP-119 IIA and time intervals, allowing for estimation of stability of repeated observations for each individual. Only MSP-119 IIA showed a significant change from August–October 2004 versus April–May 2005, as illustrated in Figure 2B. No significant differences in MSP-142 IgG antibody determined by serology or T cell IFN-γ responses were seen in these individuals over time using the GEE model.

Figure 2
figure 2

Temporal stability of quantitative measurements of antibodies. A: MSP-142 IgG levels (Mean ± SEM) measured by ELISA (solid circles, FVO; solid triangles, 3D7) at the 6 time points. Each time point is separated by approximately 3 weeks with the exception of October 6 to April 6 time points which are separated by 6 months (denoted by two short parallel lines through the x-axis). No significant change in IgG levels was observed over time. B: GIA (open squares) and MSP-119 IIA (open triangles) (Mean ± SEM) at the 6 time points. Between October 6 and April 6 time points, a statistically significant increase in MSP-119 IIA (p = .02, paired t test) was observed. No significant change in GIA levels was observed over of any of the other time points.

Quantitative comparisons

Repeated continuous outcomes from each assay were analyzed with repeated measures models using the PROC MIXED procedure. Time was included as a linear variable. 3D7 MSP-142 IFN-γ, 3D7 and FVO MSP-142 IgG, and GIA responses did not change markedly with time, substantiating results found with GEE analysis. MSP-119 IIA was associated with time increasing 0.1548 units per week (p = 0.003). Results were not affected by sex or age. Little fluctuation over time of 3D7 or FVO MSP-142 IgG antibody was observed (paired t tests, Figure 2A). Similarly GIA levels showed little temporal change (paired t test). However, MSP-119-specific IIA levels increased significantly (p = 0.02, paired t test) in the six-month interval between October 2004 and April 2005 (Figure 2B).

No correlation was observed between 3D7 MSP-119 IIA and 3D7 or FVO MSP-142 IgG antibody determined by serology (Pearson's correlation, R2 = 0.052 and 0.0247 for 3D7 and FVO, respectively). Transgenic P. falciparum in which FVO MSP-119 has been replaced by the P. chabaudi ortholog have not been constructed. Additionally, there was no correlation between GIA and MSP-142 IgG (R2 = 0.0235 and 0.0036 for 3D7 and FVO, respectively). A modest positive correlation was observed between the functional MSP-119 IIA and GIA results (R2 = 0.1512). This is not surprising since MSP-119 IIA is a component of the overall anti-malarial antibody activity measured by GIA.

Additional materials (Additional Files 1, 2, 3, 4 and 5) demonstrate for each immunologic assay correlation matrices between all the time points and spaghetti plots illustrating the quantitative data over time. While the kappa test takes into account agreement between positive responses and negative responses, correlations are driven only by the magnitude of the positive response. Thus, kappa and correlation tests measure different outcomes. 3D7 MSP-142 IFN-γ correlations ranged from R2 0.001 – 0.81 depending on the time interval examined. 3D7 and FVO MSP-142 IgG correlations ranged from R2 0.001–0.81 and 0.77 – 0.95, respectively. MSP-119 IIA and GIA correlations ranged from R2 0.001–0.55 and 0.2 – 0.69, respectively, depending on the time intervals examined.

Association of rainfall with blood stage infection, MSP-119 haplotypes, and MSP-119 IIA

Rainfall was used to estimate transmission intensity since this climatic variable has previously been found to track with P. falciparum transmission in this area of Kenya [28, 29]. Cumulative rainfall from August from September 2004 was 336 mm, which was lower than from April to May 2005 when it was 471 mm (Figure 3). Twelve of 48 blood samples obtained during the former period were positive for P. falciparum by microscopy compared with 27 of 48 samples during the latter period (p = 0.0018, chi-square test). The average parasite density during both time intervals was <100 asexual parasites/μl blood. None of the participants experienced fever or other symptoms of malaria at any time during the 9-month observation period.

Figure 3
figure 3

Kisumu rainfall (mm/month) from July 2004 to July 2005. The left Y axis indicates mm of monthly rainfall (solid squares) and the right Y axis depicts percent inhibition due to MSP-119 IIA (open triangles). Rainfall is displayed at monthly time points. Peaks in rainfall were observed in September (corresponding to the short rains in western Kenya) and in May (corresponding to the long rains). MSP-119 IIA was measured at approximately 3-week intervals at time points indicated. Higher levels of MSP-119 IIA were observed with increased rainfall.

The 19 kDa C-terminal fragment of P. falciparum MSP-1 has four predominant alleles based on point mutations resulting in four non-synonymous amino acid changes: E-TSR (3D7/PNG-MAD20 type), E-KNG (Uganda-PA type), Q-KNG (FVO/Wellcome type), and Q-TSR (Indo type). From August to October 2004, 41 of 48 samples were tested for MSP-119 haplotypes. By the MSP-119 PCR/LDR-FMA method, six positive samples had five E-KNG haplotypes and two Q-KNG haplotypes (one sample had both the E-KNG and Q-KNG haplotypes). From April to May 2005, 48 samples were tested. Nine positive samples were detected by MSP-119 PCR/LDR-FMA including three E-TSR, three E-KNG, and three Q-KNG haplotypes. All of those with the E-TSR (3D7) haplotype were found between April and May 2005 which coincided with increased MSP-119 IIA levels (E-TSR/3D7). In contrast, IgG antibody to the E-TSR/3D7 haplotype measured by serology did not increase.

Association between T cell IFN-γ and humoral immune responses

There was no correlation between T cell IFN-γ responses and antibody responses as determined by correlation coefficients, kappa test, and GEE at individual time points or over time.


MSP-1 is among the most abundant merozoite surface proteins of Plasmodium species. It is anchored to the outer membrane of the merozoite by glycophosphatidylinositol, and is considered to be essential to the cyclical process of erythrocyte invasion by malaria parasites. The msp-1 gene is conserved in the genomes of all Plasmodium species described to date, and the inability to delete the gene is consistent with the notion that the protein has an essential and non-redundant role in blood stage infection [30]. Studies of malaria naïve primates vaccinated with the penultimate and ultimate C-terminal 42 kDa and 19 kDa processed fragments of P. falciparum MSP-1 have shown that induction of immunity to this single merozoite ligand can mediate protection against blood stage infection manifest as reduced or absent parasitaemia and reduced severity of anaemia [5, 6, 8, 10]. Experimental subunit vaccines containing recombinant C-terminal fragments of MSP-1 have advanced beyond examination of safety and immunogenicity in malaria naïve humans to studies of immunogenicity and efficacy in malaria endemic populations [19, 3133]. The goal of this study was to characterize the temporal stability of selected immune markers to MSP-1 in Kenya adults with naturally acquired immunity to malaria in order to increase knowledge of whether the temporally unstable and transient nature of antibody responses to MSP-1 (and more generally other blood stage antigens) observed in children extends to adults.

Four immune assays were chosen for study based on previous observations suggesting that they may correlate with protection against parasitaemia and/or clinical morbidity: malaria antigen specific T cell IFN-γ measured by ELISPOT [13, 3437], IgG antibodies to recombinant MSP-142 proteins measured by ELISA [5, 6, 8, 10], MSP-119-specific IIA [20], and GIA [23, 38]. Based on serial observations of 16 adult residents of western Kenya examined over a nine-month period, these results show that 1) IFN-γ responses to 3D7 MSP-142 are fair to moderately stable; 2) IgG antibodies to the FVO and 3D7 alleles of MSP-142 measured serologically by ELISA are most stable over time; and 3) functional measures of MSP-119 specific IIA is a transient but potentially sensitive indicator of antibody-mediated immunity that may reflect recent exposure to P. falciparum with the corresponding MSP-119 haplotype.

Previous observations indicate that residents of high transmission regions have attenuated cellular responses to P. falciparum blood stage antigens in comparison to those living in low transmission regions or who experience few malaria episodes [39, 40]. The finding that IFN-γ responses to 3D7 MSP-142 were fair to moderately stable over the time intervals assessed is consistent with this observation. Similarly, in a repeat cross-sectional study of adults and children in western Kenya, IFN-γ T cell responses to LSA and TRAP peptides in adults were not stable over a nine-month time interval [16]. The lack of correlation between humoral and cellular responses to MSP-1 seen here is consistent with previous studies [10]. The parasitological variables and immune mechanisms accounting for the instability of MSP-1 specific T cell cytokine responses are not known. It is possible that malaria infection per se may alter T cell responses since blood stage infection has been associated with reduced IFN-γ responses [41]. In the study described here 41% (32/96) of PBMC donor samples were positive for asexual P. falciparum by blood smear, although infection status had no correlation with IFN-γ ELISPOT results when analysed by GEE. In addition to extending the current study design to children and infants, a larger sample size may be needed to detect small but significant associations. Future studies that include flow cytometry to measure production of other cytokines in addition to IFN-γ, multifunctional T cells, and T cell memory subsets will be needed to define more clearly the contribution of merozoite antigen-specific T cells in mediating naturally acquired and vaccine-elicited immunity.

The kappa test is an objective evaluation of agreement of an experimentally determined immune variable over defined time intervals. An inherent bias in interpreting the data described here (or any analysis of this type) is the criteria used to determine a positive or negative immune response. Widely accepted criteria to differentiate positive and negative responses for ELISPOT and ELISA assays were used in this study. Functional antibody assays (GIA and MSP-119-specific IIA) can have arbitrary cut-off values to define a positive or negative response. Vaccine studies have often used a GIA cut-off of 15% for positive responders, as the case in this study. On the other hand, cut-off thresholds for MSP-119-specific IIA have not been well defined. In a previous analysis, high levels (upper quartile) of MSP-119 IIA were associated with protection in Kenyan adults living in a highland area where malaria transmission is low and unstable [20]. In contrast, MSP-119 IIA levels are frequently low or absent in Kenyans living in the nearby holoendemic area where the current study was performed (manuscript in preparation).

The lack of correlation between IgG antibodies measured by ELISA and functional antibody assays is not surprising. It is becoming more apparent that functional and serologic assays of antibody responses to merozoite proteins measure different aspects of antibody-mediated immunity in naturally exposed populations [20, 38, 42]. A strong correlation between ELISA and functional antibody assays is observed in vaccination studies that involve malaria naïve humans [18, 43]. In contrast, vaccine studies conducted in malaria endemic regions have not found consistent correlations between ELISA and functional assay responses [44]. Of note with respect to the current observations, GIA and MSP-119 IIA assays had fewer positive responses than did serologically measured responses. This may have resulted in greater temporal stability of results by ELISA but would not have affected quantitative comparisons. Stable ELISA measured antibody responses to MSP-1 have been previously observed in naturally immune adults [32].

The results of this study showing an increased level of MSP-119-specific IIA during periods of increased rainfall and blood stage parasitaemia suggest that this assay may be a transient but nevertheless potentially sensitive indicator of immunity that reflects recent experience with blood stage parasitaemia. Moreover, the finding of an increase in MSP-119-specific IIA suggests that functional as opposed to serologic measurements of antibodies may be important in studying polymorphic vaccine candidate antigens. In this regard, more extensive studies examining functional antibody assays that detect not only erythrocyte invasion by P. falciparum bearing MSP-119 FVO (Q-KNG) allele but also other polymorphic merozoite proteins is warranted.


These data underscore the lack of temporal stability of current assays that measure humoral and cellular immune responses to MSP-1 in adults with naturally acquired immunity to P. falciparum. Functional antibody measurements of MSP-119-specific IIA may be a transient indicator of recent haplotype-specific infection. Overcoming the temporal instability of immune responses generated against MSP-1 beyond those demonstrated by clinically immune adults may be necessary to develop a protective blood stage vaccine.





merozoite surface protein


invasion inhibition antibodies


growth inhibitory activity


peripheral blood mononuclear cells


spot forming units


arbitrary units




PCR ligase detection reaction fluorescent microsphere assay


generalized estimating equation


analysis of variance.


  1. Doolan DL, Dobano C, Baird JK: Acquired immunity to malaria. Clin Microbiol Rev. 2009, 22: 13-36. 10.1128/CMR.00025-08.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  2. Langhorne J, Ndungu FM, Sponaas AM, Marsh K: Immunity to malaria: more questions than answers. Nat Immunol. 2008, 9: 725-732. 10.1038/ni.f.205.

    Article  CAS  PubMed  Google Scholar 

  3. Struik SS, Riley EM: Does malaria suffer from lack of memory?. Immunol Rev. 2004, 201: 268-290. 10.1111/j.0105-2896.2004.00181.x.

    Article  PubMed  Google Scholar 

  4. Urban BC, Roberts DJ: Inhibition of T cell function during malaria: implications for immunology and vaccinology. J Exp Med. 2003, 197: 137-141. 10.1084/jem.20022003.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  5. Branch OH, Udhayakumar V, Hightower AW, Oloo AJ, Hawley WA, Nahlen BL, Bloland PB, Kaslow DC, Lal AA: A longitudinal investigation of IgG and IgM antibody responses to the merozoite surface protein-1 19-kiloDalton domain of Plasmodium falciparum in pregnant women and infants: associations with febrile illness, parasitemia, and anemia. Am J Trop Med Hyg. 1998, 58: 211-219.

    CAS  PubMed  Google Scholar 

  6. Egan AF, Morris J, Barnish G, Allen S, Greenwood BM, Kaslow DC, Holder AA, Riley EM: Clinical immunity to Plasmodium falciparum malaria is associated with serum antibodies to the 19-kDa C-terminal fragment of the merozoite surface antigen, PfMSP-1. J Infect Dis. 1996, 173: 765-769.

    Article  CAS  PubMed  Google Scholar 

  7. Osier FH, Fegan G, Polley SD, Murungi L, Verra F, Tetteh KK, Lowe B, Mwangi T, Bull PC, Thomas AW: Breadth and magnitude of antibody responses to multiple Plasmodium falciparum merozoite antigens are associated with protection from clinical malaria. Infect Immun. 2008, 76: 2240-2248. 10.1128/IAI.01585-07.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  8. Singer LM, Mirel LB, ter Kuile FO, Branch OH, Vulule JM, Kolczak MS, Hawley WA, Kariuki SK, Kaslow DC, Lanar DE, Lal AA: The effects of varying exposure to malaria transmission on development of antimalarial antibody responses in preschool children. XVI. Asembo Bay Cohort Project. J Infect Dis. 2003, 187: 1756-1764. 10.1086/375241.

    Article  PubMed  Google Scholar 

  9. Nebie I, Diarra A, Ouedraogo A, Soulama I, Bougouma EC, Tiono AB, Konate AT, Chilengi R, Theisen M, Dodoo D: Humoral responses to Plasmodium falciparum blood-stage antigens and association with incidence of clinical malaria in children living in an area of seasonal malaria transmission in Burkina Faso, West Africa. Infect Immun. 2008, 76: 759-766. 10.1128/IAI.01147-07.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Riley EM, Allen SJ, Wheeler JG, Blackman MJ, Bennett S, Takacs B, Schonfeld HJ, Holder AA, Greenwood BM: Naturally acquired cellular and humoral immune responses to the major merozoite surface antigen (PfMSP1) of Plasmodium falciparum are associated with reduced malaria morbidity. Parasite Immunol. 1992, 14: 321-337. 10.1111/j.1365-3024.1992.tb00471.x.

    Article  CAS  PubMed  Google Scholar 

  11. Kinyanjui SM, Conway DJ, Lanar DE, Marsh K: IgG antibody responses to Plasmodium falciparum merozoite antigens in Kenyan children have a short half-life. Malar J. 2007, 6: 82-10.1186/1475-2875-6-82.

    Article  PubMed Central  PubMed  Google Scholar 

  12. Torres KJ, Clark EH, Hernandez JN, Soto-Cornejo KE, Gamboa D, Branch OH: Antibody response dynamics to the Plasmodium falciparum conserved vaccine candidate antigen, merozoite surface protein-1 C-terminal 19kD (MSP1-19kD), in Peruvians exposed to hypoendemic malaria transmission. Malar J. 2008, 7: 173-10.1186/1475-2875-7-173.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Chelimo K, Sumba PO, Kazura JW, Ofula AV, John CC: Interferon-gamma responses to Plasmodium falciparum liver-stage antigen-1 and merozoite-surface protein-1 increase with age in children in a malaria holoendemic area of western Kenya. Malar J. 2003, 2: 37-10.1186/1475-2875-2-37.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Le Hesran JY, Fievet N, Thioulouse J, Personne P, Maubert B, M'Bidias S, Etye'ale D, Cot M, Deloron P: Development of cellular immune responses to Plasmodium falciparum blood stage antigens from birth to 36 months of age in Cameroon. Acta Trop. 2006, 98: 261-269. 10.1016/j.actatropica.2006.05.010.

    Article  CAS  PubMed  Google Scholar 

  15. Migot-Nabias F, Luty AJ, Ringwald P, Vaillant M, Dubois B, Renaut A, Mayombo RJ, Minh TN, Fievet N, Mbessi JR: Immune responses against Plasmodium falciparum asexual blood-stage antigens and disease susceptibility in Gabonese and Cameroonian children. Am J Trop Med Hyg. 1999, 61: 488-494.

    CAS  PubMed  Google Scholar 

  16. Moormann AM, John CC, Sumba PO, Tisch D, Embury P, Kazura JW: Stability of interferon-gamma and interleukin-10 responses to Plasmodium falciparum liver stage antigen-1 and thrombospondin-related adhesive protein in residents of a malaria holoendemic area. Am J Trop Med Hyg. 2006, 74: 585-590.

    CAS  PubMed  Google Scholar 

  17. Lyon JA, Angov E, Fay MP, Sullivan JS, Girourd AS, Robinson SJ, Bergmann-Leitner ES, Duncan EH, Darko CA, Collins WE: Protection induced by Plasmodium falciparum MSP1(42) is strain-specific, antigen and adjuvant dependent, and correlates with antibody responses. PLoS ONE. 2008, 3: e2830-10.1371/journal.pone.0002830.

    Article  PubMed Central  PubMed  Google Scholar 

  18. Ockenhouse CF, Angov E, Kester KE, Diggs C, Soisson L, Cummings JF, Stewart AV, Palmer DR, Mahajan B, Krzych U: Phase I safety and immunogenicity trial of FMP1/AS02A, a Plasmodium falciparum MSP-1 asexual blood stage vaccine. Vaccine. 2006, 24: 3009-3017. 10.1016/j.vaccine.2005.11.028.

    Article  CAS  PubMed  Google Scholar 

  19. Thera MA, Doumbo OK, Coulibaly D, Diallo DA, Sagara I, Dicko A, Diemert DJ, Heppner DG, Stewart VA, Angov E: Safety and allele-specific immunogenicity of a malaria vaccine in Malian adults: results of a phase I randomized trial. PLoS Clin Trials. 2006, 1: e34-10.1371/journal.pctr.0010034.

    Article  PubMed Central  PubMed  Google Scholar 

  20. John CC, O'Donnell RA, Sumba PO, Moormann AM, de Koning-Ward TF, King CL, Kazura JW, Crabb BS: Evidence that invasion-inhibitory antibodies specific for the 19-kDa fragment of merozoite surface protein-1 (MSP-1 19) can play a protective role against blood-stage Plasmodium falciparum infection in individuals in a malaria endemic area of Africa. J Immunol. 2004, 173: 666-672.

    Article  CAS  PubMed  Google Scholar 

  21. Chelimo K, Ofulla AV, Narum DL, Kazura JW, Lanar DE, John CC: Antibodies to Plasmodium falciparum antigens vary by age and antigen in children in a malaria-holoendemic area of Kenya. Pediatr Infect Dis J. 2005, 24: 680-684. 10.1097/01.inf.0000172151.28851.fd.

    Article  PubMed  Google Scholar 

  22. O'Donnell RA, de Koning-Ward TF, Burt RA, Bockarie M, Reeder JC, Cowman AF, Crabb BS: Antibodies against merozoite surface protein (MSP)-1(19) are a major component of the invasion-inhibitory response in individuals immune to malaria. J Exp Med. 2001, 193: 1403-1412. 10.1084/jem.193.12.1403.

    Article  PubMed Central  PubMed  Google Scholar 

  23. Dent AE, Bergmann-Leitner ES, Wilson DW, Tisch DJ, Kimmel R, Vulule J, Sumba PO, Beeson JG, Angov E, Moormann AM, Kazura JW: Antibody-mediated growth inhibition of Plasmodium falciparum: relationship to age and protection from parasitemia in Kenyan children and adults. PLoS ONE. 2008, 3: e3557-10.1371/journal.pone.0003557.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Grimberg BT, Erickson JJ, Sramkoski RM, Jacobberger JW, Zimmerman PA: Monitoring Plasmodium falciparum growth and development by UV flow cytometry using an optimized Hoechst-thiazole orange staining strategy. Cytometry A. 2008, 73: 546-554.

    Article  PubMed Central  PubMed  Google Scholar 

  25. Dent AE, Yohn CT, Zimmerman PA, Vulule J, Kazura JW, Moormann AM: A polymerase chain reaction/ligase detection reaction fluorescent microsphere assay to determine Plasmodium falciparum MSP-119 haplotypes. Am J Trop Med Hyg. 2007, 77: 250-255.

    PubMed Central  CAS  PubMed  Google Scholar 

  26. Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics. 1977, 33: 159-174. 10.2307/2529310.

    Article  CAS  PubMed  Google Scholar 

  27. Rigby AS: Statistical methods in epidemiology. v. Towards an understanding of the kappa coefficient. Disabil Rehabil. 2000, 22: 339-344. 10.1080/096382800296575.

    Article  CAS  PubMed  Google Scholar 

  28. Gemperli A, Sogoba N, Fondjo E, Mabaso M, Bagayoko M, Briet OJ, Anderegg D, Liebe J, Smith T, Vounatsou P: Mapping malaria transmission in West and Central Africa. Trop Med Int Health. 2006, 11: 1032-1046. 10.1111/j.1365-3156.2006.01640.x.

    Article  PubMed  Google Scholar 

  29. Kristan M, Abeku TA, Beard J, Okia M, Rapuoda B, Sang J, Cox J: Variations in entomological indices in relation to weather patterns and malaria incidence in East African highlands: implications for epidemic prevention and control. Malar J. 2008, 7: 231-10.1186/1475-2875-7-231.

    Article  PubMed Central  PubMed  Google Scholar 

  30. Cowman AF, Baldi DL, Healer J, Mills KE, O'Donnell RA, Reed MB, Triglia T, Wickham ME, Crabb BS: Functional analysis of proteins involved in Plasmodium falciparum merozoite invasion of red blood cells. FEBS Lett. 2000, 476: 84-88. 10.1016/S0014-5793(00)01703-8.

    Article  CAS  PubMed  Google Scholar 

  31. Ogutu BR, Apollo OJ, McKinney D, Okoth W, Siangla J, Dubovsky F, Tucker K, Waitumbi JN, Diggs C, Wittes J: Blood stage malaria vaccine eliciting high antigen-specific antibody concentrations confers no protection to young children in Western Kenya. PLoS ONE. 2009, 4: e4708-10.1371/journal.pone.0004708.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Stoute JA, Gombe J, Withers MR, Siangla J, McKinney D, Onyango M, Cummings JF, Milman J, Tucker K, Soisson L: Phase 1 randomized double-blind safety and immunogenicity trial of Plasmodium falciparum malaria merozoite surface protein FMP1 vaccine, adjuvanted with AS02A, in adults in western Kenya. Vaccine. 2007, 25: 176-184. 10.1016/j.vaccine.2005.11.037.

    Article  CAS  PubMed  Google Scholar 

  33. Withers MR, McKinney D, Ogutu BR, Waitumbi JN, Milman JB, Apollo OJ, Allen OG, Tucker K, Soisson LA, Diggs C: Safety and reactogenicity of an MSP-1 malaria vaccine candidate: a randomized phase Ib dose-escalation trial in Kenyan children. PLoS Clin Trials. 2006, 1: e32-10.1371/journal.pctr.0010032.

    Article  PubMed Central  PubMed  Google Scholar 

  34. Burns JM, Flaherty PR, Nanavati P, Weidanz WP: Protection against Plasmodium chabaudi malaria induced by immunization with apical membrane antigen 1 and merozoite surface protein 1 in the absence of gamma interferon or interleukin-4. Infect Immun. 2004, 72: 5605-5612. 10.1128/IAI.72.10.5605-5612.2004.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  35. Darko CA, Angov E, Collins WE, Bergmann-Leitner ES, Girouard AS, Hitt SL, McBride JS, Diggs CL, Holder AA, Long CA: The clinical-grade 42-kilodalton fragment of merozoite surface protein 1 of Plasmodium falciparum strain FVO expressed in Escherichia coli protects Aotus nancymai against challenge with homologous erythrocytic-stage parasites. Infect Immun. 2005, 73: 287-297. 10.1128/IAI.73.1.287-297.2005.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  36. Draper SJ, Goodman AL, Biswas S, Forbes EK, Moore AC, Gilbert SC, Hill AV: Recombinant viral vaccines expressing merozoite surface protein-1 induce antibody- and T cell-mediated multistage protection against malaria. Cell Host Microbe. 2009, 5: 95-105. 10.1016/j.chom.2008.12.004.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  37. Stephens R, Albano FR, Quin S, Pascal BJ, Harrison V, Stockinger B, Kioussis D, Weltzien HU, Langhorne J: Malaria-specific transgenic CD4(+) T cells protect immunodeficient mice from lethal infection and demonstrate requirement for a protective threshold of antibody production for parasite clearance. Blood. 2005, 106: 1676-1684. 10.1182/blood-2004-10-4047.

    Article  CAS  PubMed  Google Scholar 

  38. McCallum FJ, Persson KE, Mugyenyi CK, Fowkes FJ, Simpson JA, Richards JS, Williams TN, Marsh K, Beeson JG: Acquisition of growth-inhibitory antibodies against blood-stage Plasmodium falciparum . PLoS ONE. 2008, 3: e3571-10.1371/journal.pone.0003571.

    Article  PubMed Central  PubMed  Google Scholar 

  39. Braga EM, Carvalho LH, Fontes CJ, Krettli AU: Low cellular response in vitro among subjects with long-term exposure to malaria transmission in Brazilian endemic areas. Am J Trop Med Hyg. 2002, 66: 299-303.

    CAS  PubMed  Google Scholar 

  40. Chizzolini C, Grau GE, Geinoz A, Schrijvers D: T lymphocyte interferon-gamma production induced by Plasmodium falciparum antigen is high in recently infected non-immune and low in immune subjects. Clin Exp Immunol. 1990, 79: 95-99.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  41. Bejon P, Mwacharo J, Kai O, Todryk S, Keating S, Lowe B, Lang T, Mwangi TW, Gilbert SC, Peshu N: The induction and persistence of T cell IFN-gamma responses after vaccination or natural exposure is suppressed by Plasmodium falciparum. J Immunol. 2007, 179: 4193-4201.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  42. Dent A, Malhotra I, Mungai P, Muchiri E, Crabb BS, Kazura JW, King CL: Prenatal malaria immune experience affects acquisition of Plasmodium falciparum merozoite surface protein-1 invasion inhibitory antibodies during infancy. J Immunol. 2006, 177: 7139-7145.

    Article  CAS  PubMed  Google Scholar 

  43. Polhemus ME, Magill AJ, Cummings JF, Kester KE, Ockenhouse CF, Lanar DE, Dutta S, Barbosa A, Soisson L, Diggs CL: Phase I dose escalation safety and immunogenicity trial of Plasmodium falciparum apical membrane protein (AMA-1) FMP2.1, adjuvanted with AS02A, in malaria-naive adults at the Walter Reed Army Institute of Research. Vaccine. 2007, 25: 4203-4212. 10.1016/j.vaccine.2007.03.012.

    Article  CAS  PubMed  Google Scholar 

  44. Miura K, Zhou H, Moretz SE, Diouf A, Thera MA, Dolo A, Doumbo O, Malkin E, Diemert D, Miller LH: Comparison of biological activity of human anti-apical membrane antigen-1 antibodies induced by natural infection and vaccination. J Immunol. 2008, 181: 8776-8783.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

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This work was performed with the permission of the Director of the Kenya Medical Research Institute. The authors thank the study participants for their contribution and Fredrick Opinya, John Ogone and John Oyombe for study participant recruitment and coordinating longitudinal field activities. The authors thank Rhonda J. Kimmel for laboratory assistance. This work was supported by NIH R01 AI43906 (JWK) and FIC 1D43TW006576 (KC and POS). AED is supported by BWF CAMS 1006818.

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Correspondence to James W Kazura.

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The authors declare that they have no competing interests.

Authors' contributions

AED carried out antibody assays, data analysis and drafted the manuscript. KC carried out cellular assays. POS was responsible for participant recruitment and study coordination. MDS carried out cellular assays and participated in study design. BSC developed assays and manuscript preparation. AMM participated in study conception, study design, and manuscript preparation. DJT performed data analysis. JWK participated in study conception, study design, and helped to draft the manuscript. All authors read and approved the final manuscript.

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Additional file 1: Quantitative data for MSP-1 42 (3D7) stimulated INF-γ. Correlation matrices and spaghetti plots for MSP-142 (3D7) stimulated INF-γ at all time points (PDF 93 KB)


Additional file 2: Quantitative data for MSP-1 42 (3D7) ELISA measured responses. Correlation matrices and spaghetti plots for MSP-142 (3D7) ELISA measured responses at all time points (PDF 44 KB)


Additional file 3: Quantitative data for MSP-1 42 (FVO) ELISA measured responses. Correlation matrices and spaghetti plots for MSP-142 (FVO) ELISA measured responses at all time points (PDF 29 KB)


Additional file 4: Quantitative data for MSP-1 19 IIA measured responses. Correlation matrices and spaghetti plots for MSP-119 IIA measured responses at all time points (PDF 41 KB)


Additional file 5: Quantitative data for GIA measured responses. Correlation matrices and spaghetti plots for GIA measured responses at all time points (PDF 45 KB)

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Dent, A.E., Chelimo, K., Sumba, P.O. et al. Temporal stability of naturally acquired immunity to Merozoite Surface Protein-1 in Kenyan Adults. Malar J 8, 162 (2009).

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