Literature DB >> 27860015

Bias due to methods of parasite detection when estimating prevalence of infection of Triatoma infestans by Trypanosoma cruzi.

Frédéric Lardeux1,2, Claudia Aliaga1,3, Stéphanie Depickère1,3.   

Abstract

The study aimed to quantify the bias from parasite detection methods in the estimation of the prevalence of infection of Triatoma infestans by Trypanosoma cruzi, the agent of Chagas disease. Three common protocols that detect T. cruzi in a sample of 640 wild-caught T. infestans were compared: (1) the microscopic observation of insect fecal droplets, (2) a PCR protocol targeting mini-exon genes of T. cruzi (MeM-PCR), and (3) a PCR protocol targeting a satellite repeated unit of the parasite. Agreement among protocols was computed using Krippendorff Kα. The sensitivity (Se) and specificity (Sp) of each protocol was estimated using latent class models. The PCR protocols were more sensitive (Se > 0.97) than microscopy (Se = 0.53) giving a prevalence of infection of 17-18%, twice as high as microscopy. Microscopy may not be as specific as PCR if Trypanosomatid-like organisms make up a high proportion of the sample. For small T. infestans, microscopy is not efficient, giving a prevalence of 1.5% when PCR techniques gave 10.7%. The PCR techniques were in agreement (Kα = 0.94) but not with microscopy (Kα never significant with both PCR techniques). Among the PCR protocols, the MeM-PCR was the most efficient (Se=1; Sp=1).
© 2016 The Society for Vector Ecology.

Entities:  

Keywords:  PCR; Triatoma infestans; Trypanosoma cruzi; microscopy; sensitivity; specificity

Mesh:

Substances:

Year:  2016        PMID: 27860015     DOI: 10.1111/jvec.12224

Source DB:  PubMed          Journal:  J Vector Ecol        ISSN: 1081-1710            Impact factor:   1.671


  6 in total

1.  Urban infestation by Triatoma infestans (Hemiptera: Reduviidae), an overlooked phenomena for Chagas disease in Argentina.

Authors:  Yael Mariana Provecho; María Del Pilar Fernández; Liliana Salvá; Sergio Meli; Florencia Cano; Paula Sartor; Ana Laura Carbajal-de-la-Fuente
Journal:  Mem Inst Oswaldo Cruz       Date:  2021-06-02       Impact factor: 2.743

2.  Surveillance of vector-borne pathogens under imperfect detection: lessons from Chagas disease risk (mis)measurement.

Authors:  Thaís Tâmara Castro Minuzzi-Souza; Nadjar Nitz; César Augusto Cuba Cuba; Luciana Hagström; Mariana Machado Hecht; Camila Santana; Marcelle Ribeiro; Tamires Emanuele Vital; Marcelo Santalucia; Monique Knox; Marcos Takashi Obara; Fernando Abad-Franch; Rodrigo Gurgel-Gonçalves
Journal:  Sci Rep       Date:  2018-01-09       Impact factor: 4.379

3.  Wide distribution of Trypanosoma cruzi-infected triatomines in the State of Bahia, Brazil.

Authors:  Gilmar Ribeiro; Carlos G S Dos Santos; Fernanda Lanza; Jamylle Reis; Fernanda Vaccarezza; Camila Diniz; Diego Lopes Paim Miranda; Renato Freitas de Araújo; Gabriel Muricy Cunha; Cristiane Medeiros Moraes de Carvalho; Eduardo Oyama Lins Fonseca; Roberto Fonseca Dos Santos; Orlando Marcos Farias de Sousa; Renato Barbosa Reis; Wildo Navegantes de Araújo; Rodrigo Gurgel-Gonçalves; Mitermayer G Dos Reis
Journal:  Parasit Vectors       Date:  2019-12-26       Impact factor: 3.876

4.  Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples.

Authors:  Cleo Anastassopoulou; Athanasios Tsakris; George P Patrinos; Yiannis Manoussopoulos
Journal:  Front Microbiol       Date:  2021-03-03       Impact factor: 5.640

5.  Near infrared spectroscopy accurately detects Trypanosoma cruzi non-destructively in midguts, rectum and excreta samples of Triatoma infestans.

Authors:  Aline Tátila-Ferreira; Gabriela A Garcia; Lilha M B Dos Santos; Márcio G Pavan; Carlos José de C Moreira; Juliana C Victoriano; Renato da Silva-Junior; Jacenir R Dos Santos-Mallet; Thaiane Verly; Constança Britto; Maggy T Sikulu-Lord; Rafael Maciel-de-Freitas
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

6.  Development of conventional and real-time multiplex PCR-based assays for estimation of natural infection rates and Trypanosoma cruzi load in triatomine vectors.

Authors:  Otacilio C Moreira; Thaiane Verly; Paula Finamore-Araujo; Suzete A O Gomes; Catarina M Lopes; Danielle M de Sousa; Lívia R Azevedo; Fabio F da Mota; Claudia M d'Avila-Levy; Jacenir R Santos-Mallet; Constança Britto
Journal:  Parasit Vectors       Date:  2017-08-29       Impact factor: 3.876

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.