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Serine protease inhibitors of parasitic helminths

Published online by Cambridge University Press:  06 February 2012

ADEBAYO J. MOLEHIN*
Affiliation:
Molecular Parasitology Laboratory, Department of Biology, Queensland Institute of Medical Research, 300 Herston Road, Herston, Queensland, Australia 4006 School of Population Health, The University of Queensland, Herston Road, Herston, Queensland, Australia4006
GEOFFREY N. GOBERT
Affiliation:
Molecular Parasitology Laboratory, Department of Biology, Queensland Institute of Medical Research, 300 Herston Road, Herston, Queensland, Australia 4006
DONALD P. McMANUS
Affiliation:
Molecular Parasitology Laboratory, Department of Biology, Queensland Institute of Medical Research, 300 Herston Road, Herston, Queensland, Australia 4006
*
*Corresponding author: Molecular Parasitology Laboratory, Department of Biology, Queensland Institute of Medical Research, 300 Herston Road, Herston, Queensland, Australia4006. Tel: +61 73362 0405. Fax: +61 73362 0104. E-mail: adebayo.molehin@qimr.edu.au
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Summary

Serine protease inhibitors (serpins) are a superfamily of structurally conserved proteins that inhibit serine proteases and play key physiological roles in numerous biological systems such as blood coagulation, complement activation and inflammation. A number of serpins have now been identified in parasitic helminths with putative involvement in immune regulation and in parasite survival through interference with the host immune response. This review describes the serpins and smapins (small serine protease inhibitors) that have been identified in Ascaris spp., Brugia malayi, Ancylostoma caninum Onchocerca volvulus, Haemonchus contortus, Trichinella spiralis, Trichostrongylus vitrinus, Anisakis simplex, Trichuris suis, Schistosoma spp., Clonorchis sinensis, Paragonimus westermani and Echinococcus spp. and discusses their possible biological functions, including roles in host-parasite interplay and their evolutionary relationships.

Information

Type
Review Article
Copyright
Copyright © Cambridge University Press 2012
Figure 0

Fig. 1. Conformational states of serpins as differentiated by the reactive centre loop (RCL) structures (shown in magenta). (a) Native α1AT (adapted from Elliot et al. (2000)); (b) cleaved α1AT (adapted from Engh et al. (1989)); (c) latent anti-thrombin (d) the δ conformation of a variant of α1-antichymotrypsin. Part of the F-helix is unwound and inserted into the bottom of the A β sheet (orange) (adapted from Gooptu et al. (2000)); (e) polymer of cleaved antitrypsin. In all parts of Fig. 1, the A β sheet is in red, the B β sheet in green and the C β sheet in yellow. The α helices are represented by cylinders coloured blue while the important breach, shutter, gate and hinge regions are shown by the broken circles. Adapted from Irving et al. (2000) with permission from Elsevier.

Figure 1

Fig. 2. Important domains in serpin conformations. Several regions are important in controlling and modulating serpin conformational changes. The Reactive Centre Loop is involved in protease recognition and conformational transformation as strand 4A after inhibition. The P15–P9 portion of the RCL is called the hinge region. The point of initial insertion of the RCL which is the breach region, located at the top of the A β-sheet. Near the center of A β-sheet is the shutter domain. The breach and shutter are 2 major regions that assist sheet opening and accept the conserved hinge of the RCL when it inserts. The gate region is composed of s3C and s4C strands which has been primarily observed by studies of the transition latency. The image was drawn in chimera using the PDB file of native antitrypsin conformation. Adapted from Khan et al. (2011) with permission from the Journal of Amino Acids.

Figure 2

Table 1. Characteristics of serpins from parasitic helminths

Figure 3

Table 2. Characteristics of nematode smapins

Figure 4

Fig. 3. Multifurcating phylogenetic tree showing relationships between a number of the helminth parasite serpins described in this review. The 14 serpins were aligned using MUSCLE and a bootstrapped maximum likelihood tree was generated using PhyML 3.0. The branch bootstrap support values are shown on branch splits. The analysis was carried out as described by Dereeper et al. (2008).