Literature DB >> 30391230

To kill a piroplasm: genetic technologies to advance drug discovery and target identification in Babesia.

Caroline D Keroack1, Brendan Elsworth2, Manoj T Duraisingh3.   

Abstract

Babesia parasites infect a diverse range of vertebrate hosts, from penguins to pigs. Recently, the emergence of zoonotic Babesia infection has been increasing, and the list of species reported to infect humans continues to grow. Babesiosis represents a burgeoning veterinary and medical threat, and the need for novel therapeutic drugs to effectively target this diverse group of parasites is pressing. Here, we review the current culture systems that exist to study and manipulate Babesia parasites, and identify the scope and methods for target discovery and validation to identify novel, potent anti-babesial inhibitors. Challenges exist including difficulties in the culture systems of important zoonotic parasites, and there is a lack of integrated morphological and molecular data. While molecular approaches in several Babesia spp. has become a reality, the ability to rapidly identify and validate drug targets is hindered by a lack of sophisticated genetic tools to probe parasite biology. The minimal genome size and haploid nature of blood-stage Babesia parasites presents an opportunity to adapt techniques from related systems and characterise the druggable genomic space in a high-throughput way. The considerable diversity of parasites within the genus suggests the existence of highly divergent biology and polymorphism that could present a formidable barrier to the development of a pan-babesiacidal therapeutic strategy.
Copyright © 2018 Australian Society for Parasitology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Apicomplexan; Babesia; Drug discovery; Drug target identification; Genetics; Target validation

Mesh:

Substances:

Year:  2018        PMID: 30391230     DOI: 10.1016/j.ijpara.2018.09.005

Source DB:  PubMed          Journal:  Int J Parasitol        ISSN: 0020-7519            Impact factor:   3.981


  7 in total

1.  The Common Occurrence of Theileria ovis in Tibetan Sheep and the First Report of Theileria sinensis in Yaks from Southern Qinghai, China.

Authors:  Ye Wang; Bo Wang; Qingxun Zhang; Ying Li; Ziwen Yang; Shuyi Han; Guohui Yuan; Shuangling Wang; Hongxuan He
Journal:  Acta Parasitol       Date:  2021-04-11       Impact factor: 1.440

2.  Genome Editing of Babesia bovis Using the CRISPR/Cas9 System.

Authors:  Hassan Hakimi; Takahiro Ishizaki; Yuto Kegawa; Osamu Kaneko; Shin-Ichiro Kawazu; Masahito Asada
Journal:  mSphere       Date:  2019-06-12       Impact factor: 4.389

3.  Discovering the Potent Inhibitors Against Babesia bovis in vitro and Babesia microti in vivo by Repurposing the Natural Product Compounds.

Authors:  Yongchang Li; Mohamed Abdo Rizk; Eloiza May Galon; Mingming Liu; Jixu Li; Aaron Edmond Ringo; Shengwei Ji; Iqra Zafar; Maria Agnes Tumwebaze; Byamukama Benedicto; Naoaki Yokoyama; Ikuo Igarashi; Bayin Chahan; Xuenan Xuan
Journal:  Front Vet Sci       Date:  2021-11-29

4.  Comparative single-cell transcriptional atlases of Babesia species reveal conserved and species-specific expression profiles.

Authors:  Yasaman Rezvani; Caroline D Keroack; Brendan Elsworth; Argenis Arriojas; Marc-Jan Gubbels; Manoj T Duraisingh; Kourosh Zarringhalam
Journal:  PLoS Biol       Date:  2022-09-22       Impact factor: 9.593

Review 5.  Re-Envisioning Anti-Apicomplexan Parasite Drug Discovery Approaches.

Authors:  Gabriel W Rangel; Manuel Llinás
Journal:  Front Cell Infect Microbiol       Date:  2021-06-11       Impact factor: 5.293

6.  Activities of artesunate-based combinations and tafenoquine against Babesia bovis in vitro and Babesia microti in vivo.

Authors:  Leonardo J M Carvalho; Bunduurem Tuvshintulga; Arifin B Nugraha; Thillaiampalam Sivakumar; Naoaki Yokoyama
Journal:  Parasit Vectors       Date:  2020-07-20       Impact factor: 3.876

7.  Knockout of Babesia bovis rad51 ortholog and its complementation by expression from the BbACc3 artificial chromosome platform.

Authors:  Erin A Mack; Yu-Ping Xiao; David R Allred
Journal:  PLoS One       Date:  2019-08-06       Impact factor: 3.240

  7 in total

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