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Publications

Journal Article Epublish 3 citations

PubMed: 40530365 DOI: 10.12688/openreseurope.20151.3

A protocol for mapping Blastocystis epidemiology and diagnostics from One Health perspective.

Open Res Eur 5:133

Authors: Eylem Akdur Öztürk, Isabel Guadano-Procesi, Ana M Figueiredo, Anja Godfrey, Eleni Gentekaki, Anastasios D Tsaousis, David Carmena, Funda Dogruman-Al

Affiliations

  • Department of Parasitology, Faculty of Medicine, Cukurova University, Sarçam, Adana, 01330, Turkey.
  • Department of Clinical Sciences and Translational Medicine, Faculty of Medicine, University of Tor Vergata, Rome, 00133, Italy.
  • Department of Biology and CESAM, University of Aveiro, Aveiro, 3810-193, Portugal.
  • School of Natural Sciences, University of Kent, Canterbury, England, CT2 7NZ, UK.
  • Department of Veterinary Medicine, School of Veterinary Medicine, University of Nicosia, Nicosia, 2414, Cyprus.
  • Centre for Biomedical Research Network in Infectious Diseases (CIBERINFEC), Health Institute Carlos III, Madrid, 28029, Spain.
  • Parasitology Reference and Research Laboratory, Spanish National Centre for Microbiology,, Health Institute Carlos III, Majadahonda, Madrid, 28220, Spain.
  • Division of Medical Parasitology, Department of Medical Microbiology, Faculty of Medicine,, Gazi University, Ankara, 06500, Turkey.

Abstract

Blastocystis is a globally prevalent gut protist colonising over a billion people worldwide, yet its epidemiology, transmission dynamics, and clinical significance remain underexplored. This protocol represents the first step of a large-scale effort to map Blastocystis epidemiology and diagnostic practices across Europe through the COST Action CA21105: Blastocystis under One Health. By assessing diagnostic methodologies across clinical, veterinary, and environmental sectors, this work sets the foundation for future research and standardisation. Here, we highlight key findings, challenges, and a roadmap for improving Blastocystis detection, ultimately influencing global health policies and microbial ecology studies.

MeSH

Epidemiology