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Bulk tank milk ELISA to detect IgG1 prevalence and clustering to determine spatial distribution and risk factors of Fasciola hepatica-infected herds in Mexico

Published online by Cambridge University Press:  04 September 2018

A. Villa-Mancera Open the ORCID record for A. Villa-Mancera [Opens in a new window]  and
A. Reynoso-Palomar Open the ORCID record for A. Reynoso-Palomar [Opens in a new window]
A. Villa-Mancera*
Affiliation:
Facultad de Medicina Veterinaria y Zootecnia, Benemérita Universidad Autónoma de Puebla, 4 Sur 304 Col. Centro, CP 75482, Tecamachalco Puebla, México
A. Reynoso-Palomar
Affiliation:
Facultad de Medicina Veterinaria y Zootecnia, Benemérita Universidad Autónoma de Puebla, 4 Sur 304 Col. Centro, CP 75482, Tecamachalco Puebla, México
*
Author for correspondence: A. Villa-Mancera, E-mail: abel.villa@gmail.com
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Abstract

Fasciola hepatica is a helminth parasite that causes huge economic losses to the livestock industry worldwide. Fasciolosis is an emerging foodborne zoonotic disease that affects both humans and grazing animals. This study investigated the associations between climatic/environmental factors (derived from satellite data) and management factors affecting the spatial distribution of this liver fluke in cattle herds across different climate zones in three Mexican states. A bulk-tank milk (BTM) IgG1 enzyme-linked immunosorbent assay (ELISA) test was used to detect F. hepatica infection levels of 717 cattle herds between January and April 2015. Management data were collected from the farms by questionnaire. The parasite's overall herd prevalence and mean optical density ratio (ODR) were 62.76% and 0.67, respectively. The presence of clustered F. hepatica infections was studied using the spatial scan statistic. Three marked clusters in the spatial distribution of the parasite were observed. Logistic regression was used to test three models of potential statistical association from the ELISA results using climatic, environmental and management variables. The final model based on climatic/environmental and management variables included the following factors: rainfall, elevation, proportion of grazed grass in the diet, contact with other herds, herd size, parasite control use and education level as significant predictors. Geostatistical kriging was applied to generate a risk map for the presence of parasites in dairy herds in Mexico. In conclusion, the spatial distribution of F. hepatica in Mexican cattle herds is influenced by multifactorial effects and should be considered in developing regionally adapted control measures.

Keywords

bulk tank milkcowsFasciola hepaticageographical information systemGISmilk IgG1 ELISAprevalencerisk analysisrisk map
Type
Research Paper
Information
Journal of Helminthology , Volume 93 , Issue 6 , November 2019 , pp. 704 - 710
Copyright
Copyright © Cambridge University Press 2018 

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References

Bennema, S et al. (2009) The use of bulk-tank milk ELISAs to assess the spatial distribution of Fasciola hepatica, Ostertagia ostertagi and Dictyocaulus viviparus in dairy cattle in Flanders (Belgium). Veterinary Parasitology 165, 51–57.Google Scholar
Bennema, SC et al. (2011) Relative importance of management, meteorological and environmental factors in the spatial distribution of Fasciola hepatica in dairy cattle in a temperate climate zone. International Journal for Parasitology 41, 225–233.Google Scholar
Charlier, J et al. (2014) Recent advances in the diagnosis, impact on production and prediction of Fasciola hepatica in cattle. Parasitology 141, 326–335.Google Scholar
Charlier, J et al. (2016) Climate-driven longitudinal trends in pasture-borne helminth infections of dairy cattle. International Journal for Parasitology 46, 881–888.Google Scholar
Cruz-Mendoza, I et al. (2011) Transmission dynamics of Fasciola hepatica in the Plateau Region of Mexico. Effect of weather and treatment of mammals under current farm management. Veterinary Parasitology 175, 73–79.Google Scholar
Cwiklinski, K et al. (2016) A prospective view of animal and human Fasciolosis. Parasite Immunology 38, 558–568.Google Scholar
Dalton, JP et al. (2013) Immunomodulatory molecules of Fasciola hepatica: candidates for both vaccine and immunotherapeutic development. Veterinary Parasitology 195, 272–285.Google Scholar
Duscher, R et al. (2011) Fasciola hepatica - monitoring the milky way? The use of tank milk for liver fluke monitoring in dairy herds as base for treatment strategies. Veterinary Parasitology 178, 273–278.Google Scholar
Dutra, LH et al. (2010) Mapping risk of bovine fasciolosis in the south of Brazil using Geographic Information Systems. Veterinary Parasitology 169, 76–81.Google Scholar
Fletcher, RH, Fletcher, SW and Fletcher, GS (2012) Clinical Epidemiology: The Essentials. Philadelphia, PA: Lippincott Williams & Wilkins.Google Scholar
Fox, NJ et al. (2011) Predicting impacts of climate change on Fasciola hepatica risk. PLoS ONE 6, e16126.Google Scholar
Höglund, J et al. (2010) Antibodies to major pasture borne helminth infections in bulk-tank milk samples from organic and nearby conventional dairy herds in south-central Sweden. Veterinary Parasitology 171, 293–299.Google Scholar
Howell, A et al. (2012) Bovine fasciolosis at increasing altitudes: parasitological and malacological sampling on the slopes of Mount Elgon, Uganda. Parasites & Vectors 5, 196.Google Scholar
Kantzoura, V et al. (2011) Risk factors and geospatial modelling for the presence of Fasciola hepatica infection in sheep and goat farms in the Greek temperate Mediterranean environment. Parasitology 138, 926–938.Google Scholar
Kaplan, RM (2001) Fasciola hepatica: a review of the economic impact in cattle and considerations for control. Veterinary Therapeutics 2, 40–50.Google Scholar
Keiser, J and Utzinger, J (2009) Food-borne trematodiases. Clinical Microbiology Reviews 22, 466–483.Google Scholar
Kenyon, F et al. (2017) Worm control in livestock: bringing science to the field. Trends in Parasitology 33, 669–677.Google Scholar
Kuerpick, B et al. (2012) Bulk milk-estimated seroprevalence of Fasciola hepatica in dairy herds and collecting of risk factor data in East Frisia, northern Germany. Berliner und Münchener Tierarztliche Wochenschrift 125, 345–350.Google Scholar
Kulldorff, M and Nagarwalla, N (1995) Spatial disease clusters: detection and inference. Statistics in Medicine 14, 799–810.Google Scholar
Kulldorff, M et al. (1997) Breast cancer clusters in the northeast United States: a geographic analysis. American Journal of Epidemiology 146, 161–170.Google Scholar
Martins, IV et al. (2012) Application of a geographical information system approach for risk analysis of fascioliasis in southern Espirito Santo state, Brazil. Geospatial Health 6, S87–S93.Google Scholar
Mas-Coma, S, Funatsu, IR and Bargues, MD (2001) Fasciola hepatica and lymnaeid snails occurring at very high altitude in South America. Parasitology 123, S115–S127.Google Scholar
McCann, CM, Baylis, M and Williams, DJ (2010a) The development of linear regression models using environmental variables to explain the spatial distribution of Fasciola hepatica infection in dairy herds in England and Wales. International Journal for Parasitology 40, 1021–1028.Google Scholar
McCann, CM, Baylis, M and Williams, DJ (2010b) Seroprevalence and spatial distribution of Fasciola hepatica-infected dairy herds in England and Wales. Vet Record 166, 612–617.Google Scholar
Munguía-Xóchihua, JA et al. (2007) Prevalence of Fasciola hepatica (ELISA and fecal analysis) in ruminants from a semi-desert area in the northwest of Mexico. Parasitology Research 101, 127–130.Google Scholar
Munita, MP et al. (2016) Six-year longitudinal study of Fasciola hepatica bulk milk antibody ELISA in the dairy dense region of the Republic of Ireland. Preventive Veterinary Medicine 134, 16–25.Google Scholar
Pachauri, RK et al. (2014) Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change.Google Scholar
Pritchard, GC et al. (2005) Emergence of fasciolosis in cattle in East Anglia. Veterinary Record 157, 578–582.Google Scholar
Qin, H et al. (2016) Relative importance of meteorological and geographical factors in the distribution of Fasciola hepatica infestation in farmed sheep in Qinghai province, China. Parasite 23, 59.Google Scholar
Salimi-Bejestani, MR et al. (2005) Prevalence of Fasciola hepatica in dairy herds in England and Wales measured with an ELISA applied to bulk-tank milk. Veterinary Record 156, 729–731.Google Scholar
Sanchez-Vazquez, MJ and Lewis, FI (2013) Investigating the impact of fasciolosis on cattle carcase performance. Veterinary Parasitology 193, 307–311.Google Scholar
Sandholt, I, Rasmussen, K and Andersen, J (2002) A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment 79, 213–224.Google Scholar
Schweizer, G et al. (2005) Estimating the financial losses due to bovine fasciolosis in Switzerland. Veterinary Record 157, 188–193.Google Scholar
Sekiya, M, Zintl, A and Doherty, ML (2013) Bulk milk ELISA and the diagnosis of parasite infections in dairy herds: a review. Irish Veterinary Journal 66, 14.Google Scholar
Spithill, T (1999) Fasciola gigantica: Epidemiology, Control, Immunology and Molecular Biology. Wallingford: CABI Publishing.Google Scholar
Torgerson, P and Claxton, J (1999) Epidemiology and Control. Wallingford: CABI Publishing.Google Scholar
Villa-Mancera, A et al. (2015) Motility of Fasciola hepatica miracidia assessed with a computer-assisted sperm analyser. Journal of Helminthology 89, 453–457.Google Scholar
Villa-Mancera, A et al. (2016) Comparative diagnosis of serum IgG1 and coproantigen ELISA for fasciolosis detection of goats in Mexico. BioMed Research International 2016, 3860928.Google Scholar
Villa-Mancera, A et al. (2018) Bulk tank milk prevalence and production losses, spatial analysis, and predictive risk mapping of Ostertagia ostertagi infections in Mexican cattle herds. Parasitology Research 117, 1613–1620.Google Scholar