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Infection and Immunity, May 2009, p. 2051-2058, Vol. 77, No. 5
0019-9567/09/$08.00+0 doi:10.1128/IAI.00012-09
Copyright © 2009, American Society for Microbiology. All Rights Reserved.

Center for International Health Research, Rhode Island Hospital, Providence, Rhode Island,1 Department of Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island,2 Research Institute for Tropical Medicine, Manila, the Philippines,3 Department of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, Rhode Island4
Received 5 January 2009/ Returned for modification 10 February 2009/ Accepted 28 February 2009
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In vitro studies have demonstrated that schistosome larvae are susceptible to damage in the presence of sera from infected individuals together with leukocytes from uninfected donors, suggesting that parasite-specific antibody-dependent cellular cytotoxicity (ADCC) plays a key role in parasite elimination (8). Subsequent investigations identified the role of protective immunoglobulin E (IgE), IgA, and IgG antibody isotypes (11, 23, 29) and the participation of eosinophils and mast cells in orchestrating this attack (7, 12). However, several studies have also demonstrated the presence of inhibitory antibodies which block schistosomular killing (22, 28). In particular, the antibody isotype IgG4 is a poor initiator of ADCC and blocks killing by competing with protective isotypes (29). These data suggest that schistosomes induce both protective and antagonistic antibody responses, which may alter the balance between parasite elimination and immune evasion (3).
Consonant with in vitro studies, several immunoepidemiologic surveys conducted in areas where schistosomiasis is endemic have demonstrated associations between antibody responses to crude parasite antigens and reinfection outcomes in humans. Protective IgE responses to worm (17, 24) and egg (43) antigens have been described across schistosome species, as well as IgA responses mediating antifecundity effects (23). These cohort studies have also described antiparasite IgG4 (16, 24, 32), IgM, and IgG2 (5, 22, 28) as isotypes associated with susceptibility.
Based on a model of antibody-mediated protection, the antigenic targets of both protective antibody isotypes and protective monoclonal antibodies have been identified in parasite extracts and genomic libraries. Numerous candidates have been identified (4), and a panel of the most promising of these was evaluated in immunoepidemiologic studies in Egypt (2), Brazil (35), and to a limited extent in China and the Philippines (1, 32). Despite this progress (3), only one vaccine candidate (Schistosoma haematobium glutathione S-transferase) has advanced to early-phase clinical trials (10).
We have previously described cytokine responses to crude antigen preparations (soluble worm antigen preparation [SWAP], SEA) and defined vaccine candidates (Sj97, Sj67, and Sj22) in a cohort of schistosomiasis-infected individuals between 7 and 30 years old and residing in Leyte, the Philippines (31). Here, we extend this work by measuring isotype-specific (IgA, IgE, IgG1, IgG4, and total IgG, henceforth referred to as IgG) antibody responses to these antigens in the same cohort and evaluating their association with resistance to reinfection over 12 months of posttreatment follow-up. We report that IgE responses to rSj97 are associated with resistance to reinfection and are attenuated by IgG4.
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Schistosoma japonicum antigens. SWAP was prepared from S. japonicum adult worms courtesy of the Biomedical Research Institute (Rockville, MD). Worms were resuspended in phosphate-buffered saline, pH 7.4 (Gibco, Invitrogen, Carlsbad, CA), disrupted in ice using a Dounce homogenizer, and sonicated five times using 10-s bursts. The suspension then was centrifuged at 60,000 x g at 4°C for 1 h, and the supernatant was collected and filter sterilized through 0.22-µm syringe filters (Millipore, Billerica, MA). Freshly prepared SWAP was used to couple microsphere beads as described below. The recombinant antigens rSj97, rSj67, and rSj22 were prepared as previously described (27, 31, 38). Briefly, the respective cDNA sequences were cloned and ligated into pET-32 Xa/LIC expression vectors (Novagen, EMD Biosciences, San Diego, CA) downstream of a thioredoxin fusion tag and transfected to Escherichia coli BL21(DE3) (Novagen). Recombinant protein expression was induced with isopropyl-β-D-thiogalactopyranoside (IPTG) and purified by liquid chromatography. rSj97 was purified as a thioredoxin fusion protein from E. coli inclusion body extracts using successive anion-exchange, hydroxyapatite, and size-exclusion chromatography. rSj67 was purified from induced cell lysates using successive metal affinity, anion-exchange, and size-exclusion chromatography, and the thioredoxin tag was cleaved by protease digestion followed by a final polishing step to remove cleaved thioredoxin. Similarly, rSj22 was successively purified using metal affinity, anion-exchange, and hydrophobic-interaction chromatography, and the thioredoxin tag was cleaved by protease digestion followed by a final polishing step to remove cleaved thioredoxin. The thioredoxin fusion tag, rThio, was expressed by transfecting self-ligated pET32 Xa/LIC to BL21(DE3) and purified by sequential metal affinity chromatography, hydrophobic-interaction chromatography, and size-exclusion chromatography. Recombinant antigens were stored at –80°C.
Antibody assay. Isotype-specific (IgA, IgE, IgG1, IgG4, and IgG) antibody responses to SWAP, rSj97, rSj67, rSj22, and rThio were assessed using a high-throughput bead-based platform (Bio-Plex; Bio-Rad, Hercules, CA). This method allowed the simultaneous determination of antibody responses of a particular isotype to the panel of antigens from a single serum sample. One hundred micrograms each of rSj97, rSj67, rSj22, rThio, and freshly prepared SWAP was covalently bound to 1.25 x 107 microspheres (beads) per the manufacturer's instructions (Luminex, Austin, TX). Each antigen was coupled to beads with a unique dye signature, allowing automated antigen-specific discrimination of fluorescence values in the multiplex assay. The bead regions were pooled after confirming that fluorescence values did not differ between single-bead analysis and multiplex analysis. Pooled beads were divided into aliquots for single use, lyophilized, and stored at –80°C. Pooled plasma obtained from the Macanip cohort was used to optimize the antibody assays, with sample and secondary antibody dilutions and volumes selected based on a dose-sensitive fluorescence response. For the IgE and IgA assays, beads were preincubated with 2.8 mg/ml nonspecific human IgG (Sigma, St. Louis, MO) prior to sample incubation in order to mask the antibody binding sites of rSj97. Individual patient sera (n = 601) and North American controls from an area of nonendemicity (termed "nonendemic controls") (n = 15) were diluted in assay buffer (phosphate-buffered saline, 1 mg/ml bovine serum albumin, 0.05% Tween 20, 0.05% sodium azide) at optimized concentrations (1:20 for IgE and 1:100 for IgA, IgG, IgG1, and IgG4) and incubated with beads for 30 min at room temperature (RT) with shaking at optimized volumes (50 µl for IgE and 25 µl for IgA, IgG, IgG1, and IgG4). After several washes in assay buffer, the beads were incubated with 50 µl of isotype-specific detecting antibodies (Pharmingen, San Diego, CA) at optimized dilutions (1:100 for IgA, IgE, and IgG1 and 1:5,000 for IgG4 and IgG) and incubated for 30 min at RT with shaking. After being washed, the beads were incubated in 50 µl of streptavidin-phycoerythrin (1:500 dilution; Pharmingen) for 10 min at RT with shaking, washed, and resuspended in assay buffer, and then the fluorescence was quantified using the BioPlex analyzer (model 100 for IgE, IgA, and IgG1 assays and model 200 for IgG4 and IgG assays; Bio-Rad). All liquid handling was performed by a high-speed pipetting robot (Megaflex; Tecan, Research Triangle Park, NC). Cytokine responses to Sj97 were determined on peripheral blood mononuclear cells obtained 4 weeks posttreatment using a multiplexed bead assay as described previously (31).
Statistical analysis. Individuals were classified as antibody responders or nonresponders using a plate-specific cutoff (mean plus 2 standard deviations) calculated from nonendemic controls included in each assay plate (n = 15). Raw fluorescence values were used for SWAP, rSj67, and rSj22 classification; for rSj97, thioredoxin fluorescence values were subtracted from raw rSj97 values prior to classification due to the presence of the thioredoxin fusion tag on rSj97. This dichotomous classification allowed for the examination of reinfection trends over time between responders and nonresponders, as well as the interaction between isotype-specific responses (i.e., combined IgE-IgG4 levels). Egg counts were log transformed [ln(value + 1)] to approximate normal distribution. Only successfully treated individuals with available antibody measurements and who contributed at least one stool sample during any of the reinfection time points were included in the analysis (n = 553). In the bivariate analysis, contingency tables were constructed to detect differences between antigen- and isotype-specific antibody responses and the potentially confounding categorical variables of gender, age group, water contact (two-level nominal divided at the 2.5 percentile as described previously [31]), and village, while Student's t test was used for continuous baseline intensity measurements. To assess the relationship between antibody responses and resistance to reinfection, a repeated-measures regression model with random intercepts was utilized, with the interaction term of binary antibody response variable by time point as the primary predictor. Included in the model are the following potential confounders: age group (children 7 to 11 years old, adolescents 12 to 21 years old, and adults 22 to 30 years old), gender, village of residence, water contact, and baseline intensity of infection. In addition, the analysis was adjusted for the nonindependence of responses from individuals of the same household (clustering). Results are presented as the least squares (LS) mean intensity of reinfection between antibody responders and nonresponders across the four follow-up time points (3, 6, 9, and 12 months posttreatment).
Potentially opposing effects of IgE and IgG4 responses to rSj97 were tested using a similar repeated-measures model with the interaction of interest between the time point and the combined IgE and IgG4 responder status with four levels (IgE only, IgG4 only, IgE and IgG4, and neither). Results for this analysis are presented as the LS mean intensity of reinfection among the categories of the combined IgE and IgG4 responder variable at 12 months posttreatment after adjusting for potential confounders. Finally, simple logistic regression was used to assess the relationship between antibody responses to rSj97 and ln-transformed [ln(cytokine + 1)] values. Measured cytokines included gamma interferon, interleukin-4 (IL-4), IL-5, IL-10, IL-12, and IL-13 from Sj97-stimulated peripheral blood mononuclear cells collected 4 weeks posttreatment. P values of <0.05 were considered significant. Longitudinal analysis with clustering was performed in SAS version 8.1, while bivariate analysis for epidemiological parameters and cytokine levels were performed in JMP version 5.1.1 (both from the SAS Institute, Cary, NC).
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TABLE 1. Baseline cohort characteristics (n = 553)
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The prevalence of antigen- and isotype-specific antibody responders in the cohort is presented in Table 2. The percentage of IgA responders was very low for all antigens tested, while there was substantial heterogeneity in IgE and IgG1 responses to all antigens. In contrast, IgG4 and IgG responses were common to all antigens, with the large majority of the cohort being classified as responders for IgG4 and IgG to SWAP.
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TABLE 2. Prevalence of isotype-specific antibody responders to SWAP, rSj97, rSj67, and rSj22a
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Antibody responses and resistance to reinfection. We used a repeated-measures linear regression model to evaluate the relationship between antibody responses measured 1 month posttreatment with longitudinal reinfection data measured at 3, 6, 9, and 12 months posttreatment. The predictor of interest was the interaction of the time point by antibody response, which allowed for the assessment of differences in reinfection trends over time between responders and nonresponders. As previously demonstrated (23), reinfection was significantly associated with gender (males more than females), age group (children more than adults), village of residence, baseline intensity of infection, and water contact (P < 0.05 for all), and these variables were included in our model as potential confounders.
Associations between antibody responses and susceptibility to reinfection were common in this cohort. IgG4 responders consistently had increased reinfection intensities over time across all antigens compared to nonresponders (Fig. 1). This association with increased reinfection reached significance for both rSj67 (P = 0.0055) and rSj22 (P = 0.0383), while a similar trend was shown for SWAP (P = 0.1315) and rSj97 (P = 0.0969). Strikingly, divergence in reinfection intensities between IgG4 responders and nonresponders was observed as early as 6 months posttreatment. Similarly, IgG responses to rSj22 were significantly associated with susceptibility (P = 0.0185), particularly at 6 months posttreatment. Increased reinfection intensities over time were also observed for IgA responses to two antigens, reaching significance for rSj22 (P = 0.0486) and marginal significance for SWAP (P = 0.0778). However, the wide standard errors due to low positivity of IgA responders limit interpretation (data not shown). No significant associations were detected for IgG1 responses and reinfection.
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FIG. 1. Intensity of reinfection over time for IgG4 responses to SWAP and the recombinant antigens Sj97, Sj67, and Sj22. LS means represent the mean reinfection egg burden after adjusting for potential confounders and clustering by household in a repeated-measures model. P values are for time by antibody response interaction. Error bars represent standard errors.
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FIG. 2. Intensity of reinfection over time for IgE responses to SWAP, Sj97, Sj67, and Sj22. LS means represent the mean reinfection egg burden after adjusting for potential confounders and clustering by household in a repeated-measures model. P values are for time by antibody response interaction. Error bars represent standard errors.
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FIG. 3. IgE responses to rSj97 (paramyosin) predict resistance to S. japonicum reinfection at 12 months posttreatment and are attenuated by IgG4. LS means represent the mean reinfection egg burden after adjusting for potential confounders and clustering by household in a repeated-measures model using the combined Sj97 IgE and IgG4 response variable (a P value of 0.023 for time by combined IgE-IgG4 variable interaction). Confounders in this model include age, gender, village of residence, exposure, and baseline intensity. P values represent pair-wise comparisons between IgG4 only and the indicated groups. Error bars represent standard errors.
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, IL-13, and IL-10 responses to Sj97 (P < 0.05 for all). |
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One approach to vaccine development involves characterization of protective immune responses in humans. However, well-designed, longitudinal immunoepidemiological studies for schistosomiasis japonica that adjust for relevant confounders and repeated measures remain limited. In this study, we enrolled a large cohort of infected individuals living in villages where S. japonicum is endemic, treated them with praziquantel, and followed them for the acquisition of reinfection. We then measured antibody responses to several vaccine candidates after treatment but prior to reinfection, which strengthens the causal interpretation of any detected antibody-reinfection relationships. Additionally, the use of longitudinal reinfection data enabled us to assess intensities of reinfection over time between antibody responders and nonresponders. In order to more accurately assess this relationship, the model was adjusted for potential confounders of age, gender, village of residence, water contact, baseline intensity, and clustering by household.
Our analysis of antibody responses to adult worm antigens (SWAP) revealed marginal associations with susceptibility to reinfection with IgG4 and IgG; however, we failed to detect any protective associations for SWAP. This is in partial agreement with work by Hagan et al. demonstrating that worm-specific IgG4 was associated with susceptibility, while IgE responses predicted resistance to S. haematobium reinfection in The Gambia (24). In contrast, a study of schoolchildren in Kenya by Dunne et al. showed that IgE responses to SWAP were associated with resistance to Schistosoma mansoni reinfection, after adjusting for age (17). In combined IgE and IgG4 analysis, Li et al. observed that excess IgE over IgG4 to SWAP is associated with S. japonicum resistance in Dongting Lake, China (32). Similarly, a study of S. mansoni in Brazil showed that increased levels of antischistosomular IgE over IgG4 predicted resistance to reinfection after adjusting for age and water contact (16).
In the present study, resistance to reinfection was solely predicted by IgE responses to paramyosin (rSj97), with decreased reinfection intensities among responders particularly at 12 months posttreatment. However, similar to SWAP responses, IgG4 responses to rSj97 were marginally associated with susceptibility (Fig. 1). In an analysis of combined IgE and IgG4 responses to rSj97, maximal resistance was observed in individuals with IgE but without IgG4 responses, while individuals without IgE but with IgG4 responses had the highest reinfection intensities. Interestingly, the presence of both IgE and IgG4 responses showed a trend of compromising the resistance associated with IgE alone, suggesting that IgE responses are attenuated by IgG4. IgG4 is a poor inducer of ADCC, and it is hypothesized to compete with paramyosin-specific IgE bound to eosinophils and to inhibit this protective immune mechanism. Together, these results highlight the importance of minimizing anti-paramyosin IgG4 responses to generate maximal resistance to schistosomiasis japonica reinfection.
Protective IgE responses to native paramyosin have been previously demonstrated in S. mansoni by the use of retrospective infection data (19). However, this study did not detect protective IgE responses following treatment and reinfection and lacked adjustment for important potential confounders. Other cohort studies of paramyosin have implicated IgG responses with resistance in S. mansoni (15) and IgG4 with susceptibility in both S. mansoni (2) and S. japonicum (1). The relatively higher prevalence of IgA responders to this antigen confirms that it is a major IgA target in parasite extracts as previously demonstrated (25). However, these responses were associated with susceptibility as previously described by others (2). Interestingly, our results echo protective IgE responses observed for other schistosomiasis vaccine candidates, notably the 22-kDa tegumental antigen Sm22 and the 28-kDa glutathione S-transferase Sm28GST (10, 18).
The 22-kDa tegumental antigen was initially identified as the major IgE target of S. mansoni-infected sera (17), and this was subsequently confirmed in S. japonicum (37) and S. hematobium (20). Indeed, we detected a high prevalence of IgE responses to rSj22 in this cohort (38%). However, these responses were not associated with resistance. This is in contrast to previous work in S. mansoni observing lower reinfection rates among IgE responders to this antigen (40) but in agreement with studies in S. japonicum (1, 32) which did not detect such associations. In this cohort, IgG4 responses to rSj22 and to rSj67 both predicted susceptibility to reinfection.
The results from this antibody analysis concur with our previous cytokine study in identifying paramyosin as a promising vaccine candidate for schistosomiasis japonica. In brief, our cytokine report demonstrated that type 2-biased cytokine responses to paramyosin predicted resistance to reinfection (31). In cross-sectional analysis comparing posttreatment cytokine and antibody levels, we observed that both Th1 and Th2 cytokine responses were associated with IgE anti-rSj97 responses as well as SWAP responses (data not shown). This contrasts with results from a study of schoolchildren in Uganda, where pretreatment SWAP-stimulated IL-5 levels were associated with posttreatment IgE to SWAP after adjusting for age, infection intensity, and pretreatment antibody levels (39). We attribute this discordance to differences in the timing of cytokine measurement, and it is a limitation of our study that pretreatment cytokine analyses were not performed. Alternatively, the disparity may reflect intrinsic differences between human immune responses generated by S. mansoni and those by S. japonicum (36).
Several additional study limitations merit discussion. First, our primary conclusion that resistance to reinfection is associated with the balance of IgE versus IgG4 responses to paramyosin may be attributed to residual confounding by differential exposure or baseline intensity among the antibody strata despite adjustment in the model. We believe residual confounding is unlikely as water contact levels and baseline intensities did not differ among the four antibody strata (data not shown). Second, we did not purify IgE from serum prior to assessing the antigen-specific IgE antibody levels, making our IgE results reflective of competitive binding occurring in vitro with other isotypes for the same antigen. We believe that this approach is appropriate as it more accurately reflects the competition that occurs in vivo at the host-parasite interface between IgG4 and IgE, and this view is supported by the results of our stratified analyses. It would be of interest in further studies to assess if both IgE and IgG4 target the same epitope by measuring isotype-specific antibody responses to paramyosin fragments. Lastly, our multiplex platform simultaneously determined antibody responses to SWAP and the recombinant antigens, each of which is present in SWAP. Again, this could have lead to competition for antigen binding. During optimization, however, we conducted separate antibody measurements for each antigen and found that values did not differ when multiplexed, suggesting that the simultaneous measurement did not compromise results, in agreement with our previously published work (13).
In conclusion, we have characterized both antibody and cytokine responses to several S. japonicum vaccine candidates, and our results strongly support paramyosin as a vaccine for schistosomiasis japonica. In spite of these data, we acknowledge that immunoepidemiological surveys are limited to observing protective immune responses in the context of natural infection and are susceptible to both bias and confounding (3). Further studies should therefore be devoted to preclinical and clinical evaluation of the vaccine efficacy of paramyosin, taking into consideration various factors such as adjuvants, antigen load, immunization schedule, and route. Both IgE and IgG4 are produced in the presence of IL-4; however, IgE production is preferentially favored by low levels of IFN-
and IL-10 (9, 21, 26). Accordingly, vaccination studies must be directed toward developing such a cytokine profile in order to ensure the generation of protective immune responses. A caveat of inducing antigen-specific IgE responses is the risk of allergic reactions in previously exposed and sensitized individuals. Evidence from experimental models (33, 42) and epidemiologic surveys (34), however, suggest that a state of allergic hyporeactivity is observed in the context of schistosome infection.
In support of early-phase clinical studies, we have developed a good manufacturing practice-ready, pilot-scale process to produce recombinant full-length S. japonicum paramyosin, rSj97 (27), and are currently conducting efficacy and safety studies in rodents and large-animal models.
We thank our field staff for their diligence and energy. We thank the study participants from Macanip, Buri, and Pitogo in Leyte, the Philippines.
Published ahead of print on 9 March 2009. ![]()
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