Literature DB >> 27070074

Emerging tools for identification of arthropod vectors.

Amina Yssouf1, Lionel Almeras1, Didier Raoult1, Philippe Parola1.   

Abstract

The rapid and reliable identification of arthropod vector species is an essential component of the fight against vector-borne diseases. However, owing to the lack of entomological expertise required for the morphological identification method, development of alternative and complementary tools is needed. This review describes the main methods used for arthropod identification, focusing on the emergence of protein profiling using MALDI-TOF MS technology. Sample preparation, analysis of reproducibility, database creation and blind tests for controlling accuracy of this tool for arthropod identification are described. The advantages and limitations of the MALDI-TOF MS method are illustrated by emphasizing different hematophagous arthropods, including mosquitoes and ticks, the top two main vectors of infectious diseases.

Entities:  

Keywords:  MALDI-TOF mass spectrometry profiling; arthropod identification; database creation; molecular tools; morphological tools; vector-borne diseases

Mesh:

Year:  2016        PMID: 27070074     DOI: 10.2217/fmb.16.5

Source DB:  PubMed          Journal:  Future Microbiol        ISSN: 1746-0913            Impact factor:   3.165


  40 in total

1.  Use of MALDI-TOF MS for the Identification of Chad Mosquitoes and the Origin of Their Blood Meal.

Authors:  Adama Zan Diarra; Maureen Laroche; Franck Berger; Philippe Parola
Journal:  Am J Trop Med Hyg       Date:  2019-01       Impact factor: 2.345

Review 2.  Pathogen proteotyping: A rapidly developing application of mass spectrometry to address clinical concerns.

Authors:  Lucia Grenga; Olivier Pible; Jean Armengaud
Journal:  Clin Mass Spectrom       Date:  2019-04-29

3.  Enhanced procedures for mosquito identification by MALDI-TOF MS.

Authors:  Roland Bamou; Monique Melo Costa; Adama Zan Diarra; Ademir Jesus Martins; Philippe Parola; Lionel Almeras
Journal:  Parasit Vectors       Date:  2022-06-30       Impact factor: 4.047

4.  The Use of MALDI-TOF MS as a Diagnostic Tool for Adult Trichuris Species.

Authors:  Julia Rivero; Antonio Zurita; Cristina Cutillas; Rocío Callejón
Journal:  Front Vet Sci       Date:  2022-05-11

5.  Protein profiling of Acanthamoeba species using MALDI-TOF MS for specific identification of Acanthamoeba genotype.

Authors:  Kirti Megha; Megha Sharma; Amit Gupta; Rakesh Sehgal; Sumeeta Khurana
Journal:  Parasitol Res       Date:  2018-01-17       Impact factor: 2.289

6.  MALDI-TOF MS as an innovative tool for detection of Plasmodium parasites in Anopheles mosquitoes.

Authors:  Maureen Laroche; Lionel Almeras; Emilie Pecchi; Yassina Bechah; Didier Raoult; Angèle Viola; Philippe Parola
Journal:  Malar J       Date:  2017-01-03       Impact factor: 2.979

7.  Assessment of MALDI-TOF mass spectrometry for filariae detection in Aedes aegypti mosquitoes.

Authors:  Djamel Tahir; Lionel Almeras; Marie Varloud; Didier Raoult; Bernard Davoust; Philippe Parola
Journal:  PLoS Negl Trop Dis       Date:  2017-12-20

8.  MALDI-TOF MS identification of Anopheles gambiae Giles blood meal crushed on Whatman filter papers.

Authors:  Sirama Niare; Lionel Almeras; Fatalmoudou Tandina; Amina Yssouf; Affane Bacar; Ali Toilibou; Ogobara Doumbo; Didier Raoult; Philippe Parola
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

9.  Using MALDI-TOF mass spectrometry to identify ticks collected on domestic and wild animals from the Democratic Republic of the Congo.

Authors:  Steve Ngoy; Adama Zan Diarra; Anne Laudisoit; Guy-Crispin Gembu; Erik Verheyen; Onésime Mubenga; Sylvestre Gambalemoke Mbalitini; Pascal Baelo; Maureen Laroche; Philippe Parola
Journal:  Exp Appl Acarol       Date:  2021-06-19       Impact factor: 2.132

10.  Use of MALDI-TOF MS and culturomics to identify mosquitoes and their midgut microbiota.

Authors:  Fatalmoudou Tandina; Lionel Almeras; Abdoulaye K Koné; Ogobara K Doumbo; Didier Raoult; Philippe Parola
Journal:  Parasit Vectors       Date:  2016-09-10       Impact factor: 3.876

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.