| Literature DB >> 22429049 |
N Rujeni1, N Nausch, N Midzi, T Mduluza, D W Taylor, F Mutapi.
Abstract
Field studies show an association between schistosome infection and atopy, but the effects of anti-helminthic treatment on this association have not yet been investigated in human populations with different schistosome endemicity levels. This study aimed to compare the effects of anti-helminthic treatment on responses directed against the house dust mite Dermatophagoides pteronyssinus (Derp1) and Schistosoma haematobium in Zimbabwean populations living in high and low schistosome infection areas. Derp1- and schistosome-specific IgE and IgG4 antibodies were quantified by ELISA before and 6 weeks after anti-helminthic treatment. Following treatment, there were changes in the immune responses, which varied with place of residence. After allowing for the effects of sex, age and baseline infection intensity, there was no significant treatment effect on the change in anti-schistosome IgE and IgG4 in the high infection area. However, the anti-schistosome IgE/IgG4 ratio increased significantly, while anti-Derp1 IgE responses decreased as a result of treatment. In the low infection area, treatment resulted in a significant increase in anti-worm IgE levels, but there was no significant treatment effect on anti-schistosome or anti-Derp1 IgE/IgG4 ratios. Thus, the study shows that the level of schistosome endemicity affects the host responses to schistosome and mite antigens following anti-helminthic treatment.Entities:
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Year: 2012 PMID: 22429049 PMCID: PMC3417378 DOI: 10.1111/j.1365-3024.2012.01363.x
Source DB: PubMed Journal: Parasite Immunol ISSN: 0141-9838 Impact factor: 2.280
Figure 1Flow diagram showing numbers of recruited and followed up participants. The highlighted boxes represent people included in the present analysis (treated in plain grey and untreated in grey texture).
Description of the study population
| High infection area | Low infection area | |||
|---|---|---|---|---|
| Treated | Untreated | Treated | Untreated | |
| Total, | 184 | 40 | 80 | 21 |
| Age groups | ||||
| Age group 1 (6–10 years) | 105 | 30 | 42 | 16 |
| Age group 2 (11–15 years) | 60 | 5 | 22 | 2 |
| Age group 3 (16+) | 19 | 5 | 16 | 3 |
| Sex ratio (M : F) | 0·8 | 1·7 | 0·6 | 0·9 |
| Mean age (range) | 12·8 years (6–84) | 12 years (6–62) | 17 years (6–86) | 13·3 years (6–55) |
| Mean infection intensity at baseline (range) | 26·2 (0–502·3) GM: 0·62 | 5·9 (0–50·7) GM: 0·28 | 0·43 (0–20) GM: 0·05 | 0·8 (0–8·7) GM: 0·11 |
| Egg positive cases at baseline (prevalence) | 97 (52·7%) | 10 (25%) | 5 (6·25%) | 3 (14·3%) |
Infection levels [mean egg count/10 mL urine and geometric mean (GM)], sex ratio (M: male and F: female) and age range for treated and untreated individuals selected from the high and low infections areas
Figure 2Prevalence and infection intensity (egg count per 10ml) by age in the study area. Overall infection intensity (a) and prevalence (b) for the population from which the study cohorts were chosen. Infection levels (log-transformed for infection intensity and percentage of positive cases for prevalence) are plotted against age groups in the high infection area (doted line) and the low infection area (plain line). Bars represent standard error of the means for infection intensity and 95% CI for the prevalence. Asterisks represent significant differences at P < 0·01 in each group between the two villages.
Results from a repeated measures general linear model (GLM) analysis of the variations in antibody levels
| Dependent pair (pre- and post-treatment) | Time | Time*sex | Time*age | Time*village | Time*infection intensity | Time*PZQ treatment |
|---|---|---|---|---|---|---|
| Anti-schistosome responses | ||||||
| SWAP IgE | 0·040 (0·842) f<m | 0·108 (0·898) | ||||
| SWAP IgG4 | 2·077 (0·15) f < m | 0·354 (0·552)H > L | 0·209 (0·648)T > U | |||
| SWAP IgE/IgG4 | 0·558 (0·455)f > m | 1·778 (0·171) | 0·095 (0·758)H > L | 1·052 (0·306) | ||
| SEA-IgE | 1·315 (0·252)f < m | 3·193 (0·075)T < U | ||||
| SEA-IgG4 | 0·323 (0·57) | 0·279 (0·597)f < m | 0·321 (0·726) | 2·638 (0·105)H > L | 2·368 (0·125)T > U | |
| SEA-IgE/IgG4 | 2·070 (0·151) | 0·44 (0·508) f > m | 1·378 (0·254) | 1·586 (0·209) | 1·041 (0·308)T < U | |
| Anti-allergen responses | ||||||
| Derp1-IgE | 0·009 (0·926) | |||||
| Derp1-IgG4 | 3·548 (0·061)f < m | 1·783 (0·183) | 0·768 (0·382)T < U | |||
| Derp1-IgE/IgG4 | 0·271 (0·603)f > m | 3·786 (0·053) | 3·414 (0·066)T < U | |||
F (and P) values from repeated measures GLM analysis of the parameters explaining the variations in antibody responses (and ratios) over time (time here stands for the 6 weeks between pre- and post-treatment collection day). Significant P-values <0·05 are highlighted in bold. SWAP, soluble worm antigen preparation; SEA, soluble egg antigen; Derp1, Dermatophagoides pteronyssinus allergen 1; PZQ, praziquantel; f, female; m, male; H, high infection area; L, low infection area; T, treated; U: untreated.
Results from a multivariate general linear model (GLM) analysis of the effects of treatment, by village, on the difference between pre- and post-treatment antibody levels
Figure 3Comparison of changes in antibody levels. Mean antibody changes for the study populations are shown for treated (black columns) and untreated (white columns) people in the high infection area (a) and the low infection area (b) with standard error of means. Antibody changes are calculated as the difference between post-treatment square root-transformed levels and pre-treatment square root-transformed levels. Asterisks represent significant differences between treated and untreated people at P < 0·05, which are obtained from the analysis of variance after allowing for the variation owing to the potential confounding variables – host age, sex and pre-treatment infection intensity.
Figure 4Comparison of changes in the ratios. Mean changes in ratios IgE/IgG4 for treated (black columns) and untreated (white columns) people are shown for the high infection area (a) and the low infection area (b) with standard error of means. Asterisks represent significant differences between treated and untreated people at *P < 0·05 and **P < 0·01 obtained from the analysis of variance after allowing for the variation owing to the potential confounding variables – host age, sex and pre-treatment infection intensity.