Literature DB >> 31226445

Digital PCR: a new technology for diagnosis of parasitic infections.

E Pomari1, C Piubelli2, F Perandin2, Z Bisoffi3.   

Abstract

BACKGROUND: Parasitic infections are responsible for a significant burden of disease worldwide as a result of international travel and immigration. More accurate diagnostic tools are necessary in support to parasite control and elimination programmes in endemic regions as well as for rapid case detection in non-endemic areas. Digital PCR (dPCR) is a powerful technology with recent applications in parasitology. AIMS: This review provides for the first time an overview of dPCR as a novel technology applied to detection of parasitic infections, and highlights the most relevant potential benefits of this assay. SOURCES: Peer-reviewed literature pertinent to this review based on PubMed, Cochrane and Embase databases as well as laboratory experience of authors. CONTENT: Among the 86 studies retrieved, 17 used the dPCR applied to parasites belonging to protozoa (8), helminths (8) and arthropods (1) of clinical human interest. dPCR was adopted in four studies, respectively, for Plasmodium and Schistosoma japonicum. dPCR led to clear advantages over quantitative real-time PCR in P. falciparum and spp., and in S. japonicum showing higher sensitivity; and in Cryptosporidium with higher stability to inhibitors from stool. For all parasites, dPCR allows absolute quantitation without the need of a standard curve. Various dPCR platforms were used. A few critical factors need consideration: DNA load, choice of platform and reaction optimization. IMPLICATIONS: Owing to its sensitivity and quantitative characteristics, dPCR is a potential candidate to become an appealing new method among the molecular technologies for parasite detection and quantitative analysis in the future. In general, it has more applications than genomic DNA detection only, such as quantitation in mixed infections, gene expression and mutation analysis. dPCR should be considered in malaria screening and diagnosis as a complement to routine assays and in schistosomiasis elimination programmes. Standardized strategies and further studies are needed for the integration of dPCR in routine clinical laboratory.
Copyright © 2019 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Absolute quantitation; Diagnosis; Digital PCR; Parasitology; Real-time PCR

Mesh:

Year:  2019        PMID: 31226445     DOI: 10.1016/j.cmi.2019.06.009

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  6 in total

Review 1.  Modernizing the Toolkit for Arthropod Bloodmeal Identification.

Authors:  Erin M Borland; Rebekah C Kading
Journal:  Insects       Date:  2021-01-06       Impact factor: 2.769

Review 2.  Diagnostic Techniques for COVID-19: A Mini-review of Early Diagnostic Methods.

Authors:  Gao-Pan Dong; Xiu-Juan Guo; Ying-Ai Sun; Zheng Zhang; Lu-Pei Du; Min-Yong Li
Journal:  J Anal Test       Date:  2021-10-04

3.  A Highly Sensitive CRISPR-Empowered Surface Plasmon Resonance Sensor for Diagnosis of Inherited Diseases with Femtomolar-Level Real-Time Quantification.

Authors:  Fei Zheng; Zhi Chen; Jingfeng Li; Rui Wu; Bin Zhang; Guohui Nie; Zhongjian Xie; Han Zhang
Journal:  Adv Sci (Weinh)       Date:  2022-03-27       Impact factor: 17.521

4.  Automated parasitological diagnosis in clinical microbiology laboratories.

Authors:  Gema Fernández-Rivas; Belén Rivaya; Nona Romaní; Jun Hao Wang Wang; Mireya Alcaide; Lurdes Matas
Journal:  Sci Rep       Date:  2021-06-23       Impact factor: 4.379

Review 5.  LAMP in Neglected Tropical Diseases: A Focus on Parasites.

Authors:  Juan García-Bernalt Diego; Pedro Fernández-Soto; Antonio Muro
Journal:  Diagnostics (Basel)       Date:  2021-03-15

Review 6.  Molecular Techniques as Alternatives of Diagnostic Tools in China as Schistosomiasis Moving towards Elimination.

Authors:  Chao Lv; Wangping Deng; Liping Wang; Zhiqiang Qin; Xiaonong Zhou; Jing Xu
Journal:  Pathogens       Date:  2022-02-24
  6 in total

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