Author(s):
Levy, Sara ; Calado, Manuela ; Mateus, Teresa Letra ; Vieira-Pinto, Madalena
Date: 2023
Persistent ID: http://hdl.handle.net/10362/154921
Origin: Repositório Institucional da UNL
Subject(s): active shedders; epidemiology; fasciolosis; liver lesions; RFLP; RA0421 Public health. Hygiene. Preventive Medicine; RB Pathology; RZ Other systems of medicine; Immunology and Allergy; Molecular Biology; Immunology and Microbiology(all); Microbiology (medical); Infectious Diseases; veterinary(all); Assessment and Diagnosis; Health Policy; Epidemiology; SDG 3 - Good Health and Well-being; SDG 2 - Zero Hunger; SDG 8 - Decent Work and Economic Growth
Description
Funding Information: This work was supported by the projects UIDB/CVT/00772/2020 and LA/P/0059/2020 funded by the Portuguese Foundation for Science and Technology (FCT). Publisher Copyright: © 2023 by the authors.
A study on fasciolosis prevalence, gross pathological lesions, fluke genetic identification and coprological analysis was carried out in slaughtered cattle from one abattoir in Cape Verde. Of the 131 cattle inspected over two months, 12 (9.0%) presented fasciolosis-compatible lesions (FCL) that resulted in liver condemnation. The genetic characterization of the flukes collected, through restriction fragment length polymorphism analysis of PCR-amplified fragments (PCR-RFLP), confirmed the presence of Fasciola gigantica; therefore, being the first identification of this species in cattle from Cape Verde. Animals that released Fasciola spp. eggs and, thus, responsible for environment contamination (positive shedders), were identified through coprological analysis (natural sedimentation technique). Of the 12 animals with FCL, samples from 11 were submitted to coprological analysis and 7 (63.6%) were found to be positive shedders. Furthermore, of the 82 animals with non-FCL, randomly selected for coprological analysis, 4 (4.9%) were also found to be positive shedders for Fasciola spp. The results of this study, regarding species identification and coprological analysis, are epidemiologically important to update the information regarding fasciolosis in Cape Verde. The new data could help implement effective strategies for disease control and mitigation, consequently reducing economic loss and the level of animal and human infection from the One Health perspective.
