Biotechnological advances in the diagnosis, species differentiation and phylogenetic analysis of Schistosoma spp.

Zhao, Guang-Hui, Li, Juan, Blair, David, Li, Xiao-Yan, Elsheikha, Hany M., Lin, Rui-Qing, Zou, Feng-Cai, and Zhu, Xing-Quan (2012) Biotechnological advances in the diagnosis, species differentiation and phylogenetic analysis of Schistosoma spp. Biotechnology Advances, 30 (6). pp. 1381-1389.

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Abstract

Schistosomiasis is a serious parasitic disease caused by blood-dwelling flukes of the genus Schistosoma. Throughout the world, schistosomiasis is associated with high rates of morbidity and mortality, with close to 800 million people at risk of infection. Precise methods for identification of Schistosoma species and diagnosis of schistosomiasis are crucial for an enhanced understanding of parasite epidemiology that informs effective antiparasitic treatment and preventive measures. Traditional approaches for the diagnosis of schistosomiasis include etiological, immunological and imaging techniques. Diagnosis of schistosomiasis has been revolutionized by the advent of new molecular technologies to amplify parasite nucleic acids. Among these. polymerase chain reaction-based methods have been useful in the analysis of genetic variation among Schistosoma spp. Mass spectrometry is now extending the range of biological molecules that can be detected. In this review, we summarize traditional, non-DNA-based diagnostic methods and then describe and discuss the current and developing molecular techniques for the diagnosis, species differentiation and phylogenetic analysis of Schistosoma spp. These exciting techniques provide foundations for further development of more effective and precise approaches to differentiate schistosomes and diagnose schistosomiasis in the clinic, and also have important implication for exploring novel measures to control schistosomiasis in the near future.

Item ID: 25084
Item Type: Article (Research - C1)
ISSN: 1873-1899
Keywords: biotechnological advances, diagnosis, identification, PCR-based technology, schistosoma, schistosomiasis
Funders: National Natural Science Foundation of China, Program for Outstanding Scientists in Agricultural Research, Open Funds of the State Key Laboratory of Veterinary Etiological Biology, Chinese Academy of Agricultural Sciences
Date Deposited: 20 Feb 2013 09:10
FoR Codes: 06 BIOLOGICAL SCIENCES > 0603 Evolutionary Biology > 060309 Phylogeny and Comparative Analysis @ 100%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920120 Zoonoses @ 100%
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