Mutapi, F; Imai, N; Nausch, N; Bourke, CD; Rujeni, N; Mitchell, KM; Midzi, N; Woolhouse, MEJ; Maizels, RM; Mduluza, T; (2011) Schistosome Infection Intensity Is Inversely Related to Auto-Reactive Antibody Levels. PloS one, 6 (5). ISSN 1932-6203 https://researchonline.lshtm.ac.uk/id/eprint/55589
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https://researchonline.lshtm.ac.uk/id/eprint/55589
Abstract
Acquired immunity against helminths is characterised by a complex interplay between the effector Th1 and Th2 immune responses and it slowly manifests with age as a result of cumulative exposure to parasite antigens. Data from experimental models suggest that immunity is also influenced by regulatory T cells (Treg), but as yet studies on Treg in human schistosome infections are limited. This study investigated the relationship between schistosome infection intensity and the two cell populations regulatory T cells (TREG: CD4(+(dim))CD25(+(high))FOXP3(+)CD127(low)), and activated (Tact: CD4(+)CD25(+)FOXP3(-)) T cells in Zimbabweans exposed to Schistosoma haematobium parasites. Participants were partitioned into two age groups, young children (8-13 years) in whom schistosome infection levels were rising to peak and older people (14+ years) with declining infection levels. The relationship between Tact proportions and schistosome infection intensity remained unchanged with age. However Treg proportions rose significantly with increasing infection in the younger age group. In contrast Treg were negatively correlated to infection intensity in the older age group. The relative proportions of regulatory T cells differ significantly between young individuals in whom high infection is associated with an enhanced regulatory phenotype and older infected patients in whom the regulatory response is attenuated. This may influence or reflect different stages of the development of protective schistosome acquired immunity and immunopathogenesis.
Item Type | Article |
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Faculty and Department | Faculty of Public Health and Policy > Dept of Global Health and Development |
Research Centre |
Social and Mathematical Epidemiology (SaME) SaME Modelling & Economics |
ISI | 290305600013 |