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| ABSTRACT |
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| INTRODUCTION |
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In contrast, serologic methods may provide an indirect means of estimating individual exposure to malaria transmission. Antibody response to sporozoites has been studied extensively in immune populations810 and in non-immune travelers using chemoprophylaxis.1113 Most frequently, this analysis is performed with enzyme-linked immunosorbent assay (ELISA) techniques based on synthetic peptides or recombinant proteins including the repetitive NANP and NVDP domains of the circumsporozoite protein (CSP).14 It has frequently been used as a proxy for the evaluation of malaria transmission.1517
The association between antibody responses to other pre-erythrocytic and erythrocytic stage antigens and level of malaria transmission has been studied in immune populations.1821 However, the antibody response to these antigens in non-immune travelers briefly exposed to malaria has not been extensively studied. Our objective was to estimate the level of exposure to malaria transmission of French soldiers deployed to tropical Africa by analyzing their antibody responses against several pre-erythrocytic stages antigens. Secondary objectives were to analyze the kinetics of these antibodies and to evaluate the efficacy of individual anti-vector devices. These antigens include CSP, which is actively expressed only in the sporozoite stage and is generally used as a reference for estimation of immunologic exposure to malaria transmission.15 The pre-erythrocytic antigens tested also included liver stage antigen 1 (LSA1), which is expressed only in the hepatic stage, sporozoite threonine- and asparagine-rich protein (STARP), and sporozoite- and liver-stage antigen (SALSA), which is expressed both at the sporozoite and hepatic stages.22 A high prevalence of antibody responses to these pre-erythrocytic antigens has been found in individuals living in malaria-endemic areas.2325 The antibody response directed against SR11.1 antigen, a novel antigen that is expressed at sporozoite and liver stages and corresponds to a unique subregion of the megaprotein Pf 11.1 (Brahimi K and others, unpublished data and Perlaza BL and others, unpublished data), was also studied. Our findings may be useful in understanding the first stages of the immune responses to primary malaria infection and developing vaccines against malaria.
| MATERIALS AND METHODS |
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Peptides. A 24-mer peptide containing six copies of tandem repeating domains (NANP)4(NVDP)2 of CSP, a 43-mer peptide containing two copies of the central tandem repeating domain of LSA1 [LAKEKLQ(EQQSDLEQER-LAKEKEKLQ)2],23 a 20-mer peptide containing two copies of tandem repeating domain (STNNNTKTI)2 of STARP,25 a 34-mer peptide containing the non-repeat region NGKD-DVKEEKKTNEKKDDGKTDKVQEKVLEKSPK of SALSA,24 and an 18-mer consensus SR11.1-derived peptide (EEVVVVLIEEVIPEELVL) containing the sequence found most often among the repeats of the megaprotein Pf 11.1 (Brahimi K and others, unpublished data and Perlaza BL and others, unpublished data) were synthesized and purified (> 90%) with Genosys (Sigma-Genosys, Cambridge, United Kingdom) with an added N-terminal biotin. All peptides were shipped lyophilized. They were resuspended in dimethyl sulfoxide (Sigma Chemical Co., St Louis, MO, USA) and stored in aliquots at 20°C.
Enzyme-linked immunosorbent assay. IgG and IgM antibodies to CSP, LSA1, STARP, SALSA, and SR11.1 were tested with an ELISA. Flat-bottom microtiter plates (Nunc, Roskilde, Denmark) were coated with 100 µL/well of streptavidin (5 µg/mL) (Roche, Basel, Switzerland) overnight at 37°C. The plates were then blocked for one hour at 40°C with 200 µL of blocking buffer, pH 6.6 (phosphate-buffered saline [PBS], pH 7.4, 0.1% Tween 20 [Sigma Chemical Co.], 3% skim milk [Becton Dickinson Bioscience, San Jose, CA]) and washed three times with PBS, pH 7.2, 0.1% Tween 20 (PBS-Tween). Biotinylated synthetic peptides were added to the plates (100 µL of individual peptide [2.5 µM in PBS-Tween]) and incubated for one hour at 40°C. The plates were then washed three times with PBS-Tween. Sera were diluted 1:200 in blocking buffer. For the detection of IgM antibodies, sera were first diluted 1:25 in PBS, then mixed with rheumatoid factor absorbent (Biomérieux SA, Craponne, France) to a 1:50 serum dilution and incubated for one hour at room temperature. The mixture was centrifuged for 10 minutes at 9,000 x g and the supernatant was mixed with blocking buffer to give a final serum dilution of 1:200. Diluted sera were incubated (100 µL/well) for one hour at 40°C and plates were then washed three times with PBS-Tween. For detecting human IgG and IgM, plates were incubated for one hour at 40°C with 100 µL of peroxidase-conjugated goat F(ab' )2 fragment to human IgG Fc (Cappel; ICN Biomedicals, Aurora, OH) diluted 1:60,000 in blocking buffer or with peroxidase-conjugated goat F(ab' )2 fragment to human IgM (Cappel, ICN Biomedicals, OH, USA) diluted 1:80,000 in the blocking buffer, respectively. Plates were then washed three times with PBS-Tween and incubated for 15 minutes at room temperature with 80 µL of tetramethylbenzidine substrate (Kirkegaard and Perry Laboratories, Gaithersburg, MD). The reaction was stopped by addition of 50 µL of 1M H2SO4. The plates were read at 450 nm with an ELISA reader (Versa Max® turnable multiplate reader; Molecular Devices, Wokingham, United Kingdom).
Each serum was tested in duplicate on each peptide and in control wells without peptide. The serum was tested again when the absorbance in the control well was greater than 0.30 or when one duplicate had a signal
50% of the other. All serum samples from one individual were tested together on the same plate. A pool of sera of European adults who had never been exposed to malaria and a pool of sera of African adults exposed to malaria transmission were used in each assay as negative and positive controls, respectively. Inter-assay variations in absorbance values of the negative and positive controls ranged within 25% of their mean values.
The levels of IgG and IgM antibodies to each antigen were expressed as adjusted optical densities (ODs). The latter were calculated for each peptide and each serum as the ratio of the mean OD value with peptide divided by the OD value of the control wells, i.e., without peptide. The adjusted OD for IgG and IgM to each antigen for 48 sera from European adults who had never been exposed to malaria were normalized using the Box-Cox transformation, and their normalized mean and SD were estimated. The lower limit of positivity for IgG and IgM to each antigen was taken as the reverse transformation of the mean + 2.3263 SD estimated on Box-Cox transformed data. Therefore, values higher than the cut-offs should be observed in less than 1% of the sera of non-exposed individuals. The thresholds of positivity were 2.15, 1.54, 1.47, 2.32, and 1.58, respectively, for IgG antibodies to SR11.1, CSP, LSA1, SALSA, and STARP and 2.31, 1.53, 1.32, 1.81, and 2.44, respectively, for IgM antibodies to these five antigens.
The variations in IgG and IgM responses to each antigen in absence of exposure to malaria transmission were assessed by the ratio of adjusted ODs on 45 pairs of sera collected at 35-month intervals from unexposed European adults living permanently in Marseille, France, i.e., in non-endemic area. The values of these ratios were normalized using the Box-Cox transformation, and their normalized mean and SD were estimated. The lower limit of significant increase in IgG and IgM responses to each antigen was taken as the reverse transformation of the mean ratio of the corrected OD + 3.0902 SD estimated on Box-Cox transformed data. Values greater than these cut-offs should be observed in less than 0.1% of the pairs of sera collected at 35-month intervals in unexposed individuals. The thresholds defining significant increases in antibody responses to SR11.1, CSP, LSA1, SALSA, and STARP were 1.63, 1.57, 1.50, 1.43, and 1.26, for IgG antibody ratios and 1.34, 1.19, 1.39, 1.40 and 1.37, respectively, for IgM antibody ratios, respectively.
Statistical analysis. Statistical analysis was performed with Stata version 7.0 (Stata Corporation, College Station, TX). The Wilcoxon signed rank test and Mann-Whitney rank sum test were used to compare variables between groups for paired and unpaired data, respectively. The Fisher exact test was used to compare proportions. The McNemar exact test was used to compare incidence rates of significant increase in immune response between tested antigens. Pairwise correlations between the IgG and IgM antibody responses at T1 were tested using the Bonferroni correction for the estimation of the P value to take into account the multiplicity of the tests. Multivariate analysis was performed by fitting logistic regression models with a significant increase in the IgG or IgM response to at least one antigen as the dependent variable. Differences were considered statistically significant when P < 0.05.
| RESULTS |
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The number of volunteers reported compliance during the three cross-sectional surveys was 205 at T0, 205 at T1, and 106 at T2. The IgG and IgM antibody responses to SR11.1, CSP, LSA1, SALSA, and STARP of the 106 individuals sampled in the three surveys are shown in Figure 1
. Although the IgG and IgM adjusted ODs (Figure 1A
) generally increased from T0 to T1 and then decreased from T1 to T2, only the IgG and IgM responses against LSA1 increased significantly (P < 0.001) from T0 to T1, and decreased significantly from T1 to T2 (IgG; P = 0.03 and IgM; P < 0.001). Increased IgG and IgM responses to LSA1 were observed among individuals who never traveled to malaria-endemic areas (mean IgG adjusted OD = 1.05 at T0 versus 2.07 at T1, n = 82, P < 0.001 by Wilcoxon signed rank test and mean IgM adjusted OD = 1.05 at T0 versus 1.66 at T1, n = 82; P < 0.001) and among individuals who stayed in malaria-endemic areas (mean IgG adjusted OD = 1.09 at T0 versus 2.69 at T1, n = 123; P < 0.001 and mean IgM adjusted OD = 1.07 at T0 versus 1.65 at T1, n = 122; P < 0.001).
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The incidence rates of significant increase in antibody responses to SR11.1, CSP, LSA1, SALSA, and STARP between T0 and T1 are shown in Figure 2
. The IgG and the IgM responses against at least one antigen increased significantly in 23.4% (95% CI = 17.829.8%) and 25.4% (95% CI = 19.631.9%), respectively. Taken together, 34.6% (95% CI = 28.141.6%) of the individuals had a significant increase in IgG or IgM to at least one antigen between T0 and T1. The number of individuals with significantly increased antibody responses to one, two, three, four, and five antigens were 29, 10, 5, 3, and 1 for IgG (n = 205) and 27, 14, 8, 2, and 0 for IgM (n = 204), respectively. Among the 71 individuals with a significant increase in IgG or IgM responses to at least one antigen between T0 and T1, 57 (80%), 24 (34%), 21 (30%), 19 (27%), and 16 (22%) showed an increased IgG or IgM antibody response to LSA1, SR11.1, SALSA, CSP, and STARP, respectively. Moreover, 89% (63 of 71) and 94% (67 of 71) showed a significant increase in IgG or IgM responses to LSA1 and STARP, and LSA1, STARP, and CSP, respectively. The incidence rate of increased IgG and IgM antibody responses to LSA1 were significantly higher than those to any other antigen (P < 0.0001), and 27.8% (95% CI = 21.834.5%) of the individuals had a significant increase in IgG or IgM antibodies to LSA1. The incidence rate of increased IgM antibody response to STARP was significantly lower than the incidence rates of increased IgM antibody responses to CSP and SR11.1 (P = 0.03 and P = 0.01). A significant increase in IgG or IgM antibodies to at least one antigen was observed between T0 and T1 in three of four individuals who experienced a clinical malaria attack during the mission.
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Previous stay in malaria-endemic areas or seropositivity to at least one antigen before the mission had no confounding or interaction effect on the incidence rate of increased IgG or IgM antibody responses to LSA1 or to at least one antigen. Moreover, the incidence of clinical malaria attacks (P. falciparum or P. ovale) was significantly associated with an increased IgG or IgM antibody response to at least one antigen between T0 and T1 (OR = 1.45, 95% CI = 1.081.94, P = 0.014).
| DISCUSSION |
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The CSP, SR11.1, STARP, and SALSA peptides gave similar estimates, whereas the LSA1 peptide showed a much higher incidence rate of antibody response. The synthetic peptide corresponding to the LSA1 antigen was the longest (43 amino acids) and could represent a better conformation of antigen or could correspond to several epitopes. Alternatively, epidemiologic studies have shown a consistently high antigenicity of LSA1 repeats.23,25 Most likely, the use of the native proteins or the full-length recombinant proteins would increase the sensitivity of the method for detecting P. falciparum infections. There was a poor correlation between the T1 antibody responses to the different antigens. Thus, increasing the number of antigens to may provide a better estimation of the level of malaria transmission.
The use of paired sera from each individual, i.e. before and after exposure to malaria transmission, allows one to consider each subject as its own control and markedly improves the sensitivity of detection of an antibody response. We used paired sera from unexposed individuals to estimate cut-off values defining the significance level of such a response. The high level of the estimated cut-off that should be reached by less than 0.1% of unexposed individuals and the use of paired sera from each individual contribute to a highly specific criteria for a positive antibody response. This cut-off may not be considered pertinent for secondary antibody responses in individuals who were seropositive before the exposure. However, the incidence rate of significantly increased IgG or IgM antibody responses did not differ between individuals regardless of their serologic status before exposure to malaria transmission or their history of time in malaria-endemic areas, which suggests that the cut-offs were appropriate.
It is important to conduct blood sampling early after the end of exposure to malaria transmission. Antibody titers to LSA1 decreased significantly between the time of arrival in France and two months later. The decrease in antibodies to the other antigens was not significant. Conversely, there was a non-significant increase in IgG antibodies to SALSA during the same period.
Collecting behavior data with a retrospective questionnaire may result in omissions or memory biases. However, it is likely that the omissions or the flaws in remembering would bias the estimates of the effect of the mandatory prophylactic measures to zero. Our study has shown that anti-vector devices are protective against infection in travelers. Permanent night use of impregnated bed nets in Côte dIvoire and long-sleeve clothes had protective efficacies of 60% and 66%, respectively. The absence of a protective effect of the use of bed nets in Gabon may be explained by a much lower exposure to mosquitoes in the urban environment and in mosquitoes-proof houses in Libreville. Serologic estimation of exposure to malaria transmission used in this study was sensitive enough to detect the protective effect of anti-vector devices, such as long-sleeve clothes, even among short-term travelers.
Received November 17, 2005. Accepted for publication January 18, 2006.
Acknowledgments: We thank all volunteers and the medical team of Régiment de Chasseur Parachutiste (Pamiers, France) for participating in the study. We also thank F. Remoue (Institut de Recherche et de Développement, Dakar, Senegal) and A. Buguet for critically reading the manuscript and C. Dane (Délégation Générale pour lArmement, Paris, France) for support and advice.
Financial support: This study was supported by Délégation Générale pour lArmement (grant 02CO011, no. 010808).
* Address correspondence to Christophe Rogier, Unité de Recherche en Biologie et Épidémiologie Parasitaires, Institut de Médecine Tropicale du Service de Santé des Armées, Boulevard Charles Livon, Parc le Pharo, BP 46, 13998 Marseille Armées, France and Institut Fédératif de la Recherche 48, 13005 Marseille, France. E-mail: christophe.rogier{at}wanadoo.fr ![]()
Author addresses: Eve Orlandi-Pradines, Kristell Penhoat, Claude Durand, Bruno Pradines, Thierry Fusai, and Christophe Rogier, Unité de Recherche en Biologie et Épidémiologie Parasitaires, Institut de Médecine Tropicale du Service de Santé des Armées, Boulevard Charles Livon, Parc le Pharo, BP 46, 13998 Marseille Armées, France and Institut Fédératif de la Recherche 48, 13005 Marseille, France, Telephone: 33-4-91-15-01-50, Fax: 33-4-91-15-01-64. E-mails: sururu{at}caramail.com, bruno.pradines{at}free.fr, thierry.fusai{at}free.fr, and christophe.rogier{at}wanadoo.fr. Christophe Pons and Christian Bay, Service de Santé du Premier Régiment de Chasseurs Parachutistes, Quartier Capitaine Beaumont, 09105 Pamiers, France, Telephone: 33-5-34-01-99-99, Fax: 33-5-34-01-99-48. Richard Josse, Département dÉpidémiologie de lHôpital dInstruction des Armées Robert Picqué, Bordeaux, France, Telephone: 33-5-56-84-70-42, Fax: 33-5-56-84-72-90. Philippe Dubrous, Laboratoire de Biologie Médicale de lHôpital dInstruction des Armées Robert Picqué, Bordeaux, France, Telephone: 33-5-56-84-74-27, Fax: 33-5-56-84-72-90. Jean-Baptiste Meynard, Rene Migliani and Jean-Paul Boutin, Département dÉpidémiologie et de Santé Publique Sud, Institut de Médecine Tropicale du Service de Santé des Armées, Boulevard Charles Livon, Parc le Pharo, BP 46, 13998 Marseille Armées, France and Institut Fédératif de la Recherche 48, 13005 Marseille, France, Telephone: 33-4-91-15-25, Fax: 33-4-91-15-01-84, E-mail: imtssa.desp{at}wanadoo.fr. Jean-Paul Durand, Unité de Virologie, Institut de Médecine Tropicale du Service de Santé des Armées, Boulevard Charles Livon, Parc le Pharo, BP 46, 13998 Marseille Armées, France. Pierre Druilhe, Laboratoire de Parasitologie Bio-Médicale, Institut Pasteur, 28 Rue du Dr. Roux, 75015 Paris, France, Telephone: 33-1-45-68-85-78, Fax: 33-1-45-68-86-40, E-mail: druilhe{at}pasteur.fr.
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