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Recent advances in nucleic acid-based methods for detection of helminth infections and the perspective of biosensors for future development

Published online by Cambridge University Press:  16 December 2019

Hanif Ullah
Affiliation:
Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology of Ministry of Agriculture and Rural Affairs, Shanghai, 200241, China
Abdul Qadeer
Affiliation:
Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology of Ministry of Agriculture and Rural Affairs, Shanghai, 200241, China
Muhammad Rashid
Affiliation:
State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu730046, China
Muhammad Imran Rashid
Affiliation:
Department of Parasitology, University of Veterinary and Animal Sciences (UVAS), Lahore, Pakistan.
Guofeng Cheng*
Affiliation:
Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology of Ministry of Agriculture and Rural Affairs, Shanghai, 200241, China
*
Author for correspondence: Guofeng Cheng, E-mail: [email protected]

Abstract

Pathogenic helminth infections are responsible for severe health problems and economic losses worldwide. Timely and accurate diagnosis of helminth infections is critical for adopting suitable strategies for pathogen control. Here, we review recent advances in nucleic acid-based diagnostic methods, including polymerase chain reaction, quantitative qPCR, loop-mediated isothermal amplification and recombinase polymerase amplification, and discuss their advantages and disadvantages for diagnosing helminth infections. In addition, we highlight recent advances in biosensors for the detection of nucleic acid biomarkers that can potentially be used for the diagnosis of helminth infection.

Type
Review Article
Copyright
Copyright © Cambridge University Press 2019

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