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

文献类型: 外文期刊

第一作者: Zhao, Guang-Hui

作者: Zhao, Guang-Hui;Li, Juan;Li, Xiao-Yan;Zhu, Xing-Quan;Zhao, Guang-Hui;Li, Juan;Lin, Rui-Qing;Blair, David;Li, Xiao-Yan;Elsheikha, Hany M.;Zou, Feng-Cai;Zhu, Xing-Quan

作者机构:

关键词: Biotechnological advances;Diagnosis;Identification;PCR-based technology;Schistosoma;Schistosomiasis

期刊名称:BIOTECHNOLOGY ADVANCES ( 影响因子:14.227; 五年影响因子:16.301 )

ISSN: 0734-9750

年卷期: 2012 年 30 卷 6 期

页码:

收录情况: SCI

摘要: 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. (c) 2012 Elsevier Inc. All rights reserved.

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