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Veterinary parasitology2023; 322; 110029; doi: 10.1016/j.vetpar.2023.110029

Parascaris spp. eggs shedding patterns in juvenile horses.

Abstract: Parascaris spp. infect foals worldwide and foals typically shed eggs in the feces from about three to six months of age, upon which natural immunity is incurred. High levels of anthelmintic resistance of Parascaris spp. are a global concern, and further understanding egg shedding patterns and fecal egg counting (FEC) data variability is of high importance. The aims of this study were to monitor Parascaris spp. egg shedding in untreated foals during 12-23 weeks of age, estimate sources of data variability, and assess precision of two ascarid FEC techniques. Fecal samples were collected weekly from 11 foals born in 2022, from May through November (29 weeks). Six subsamples were extracted from each weekly sample to determine 30 FECs between two techniques: a McMaster technique and an Automated Egg Counting System (AECS). Mixed linear modeling was carried out with age, sex, birth month, seasonality, spring- or summer-born foals, and egg counting technique as explanatory variables. Ascarid FECs were associated with age (p < 0.001), seasonality (p < 0.001), and technique (p < 0.001). The McMaster technique was more precise with a mean coefficient of variation (CV) of 34.57% and a 95% confidence interval (CI) of 30.80%- 38.30% compared to the CV for the AECS, which was 42.22% (CI: 37.70%-46.70%). Seasonality accounted for the highest proportion of variance (PV) of all covariates, but differences in PVs for covariates existed between techniques with foal age and subsample contributing more variance to the McMaster, and individual foal and seasonality contributing more to the AECS. Subsamples and replicate counts accounted for less than 1% of the total data variance. The results highlighted substantial differences in PVs between the two techniques at the subsample (AECS: 57.14%; McMaster: 77.51%) and replicate count levels (AECS: 42.86%; McMaster: 22.49%). While differences in precision were observed between the two FEC techniques, they were negligible in the data set, as the overwhelming majority of the data variability in ascarid FECs was attributed to individual foal, seasonality, and foal age.
Publication Date: 2023-09-14 PubMed ID: 37734131DOI: 10.1016/j.vetpar.2023.110029Google Scholar: Lookup
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  • Journal Article

Summary

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The research studies the pattern of Parascaris spp. egg shedding in foals and analyses two techniques for counting these eggs in feces. Higher precision was found in the McMaster technique compared to the Automated Egg Counting System (AECS), with age, seasonality and the counting technique having a notable impact on fecal egg counts.

Objective of the Study

  • The primary goal of this research was to gain a deeper understanding of the pattern of egg shedding in foals infected with Parascaris spp. from the age of 12 to 23 weeks.
  • The research also compared the precision of two ascarid FEC (fecal egg counting) techniques, namely the McMaster technique and an Automated Egg Counting System (AECS).
  • The researchers also wanted to estimate the sources of data variability associated with these two techniques.

Methodology

  • Fecal samples were collected weekly from 11 foals over a period of 29 weeks, from May to November 2022.
  • Six subsamples per weekly sample were used to determine 30 FECs, utilizing two different egg counting techniques.
  • Different factors like foal age, sex, birth month, seasonality, and egg counting technique were taken into account during analysis using mixed linear modeling.

Results and Findings

  • The study found that age, seasonality, and the technique used for counting eggs in the feces were strongly associated with the results of ascarid FECs.
  • The McMaster technique had a higher precision, with a mean coefficient of variation (CV) of 34.57%, compared to the Automated Egg Counting System, which had a CV of 42.22%.
  • Even though factors like subsamples and replicate counts contributed to less than 1% of the total data variance, seasonality accounted for the highest proportion of variance of all the co-variables examined in the study, followed by individual foal and foal age.
  • Significant differences were observed in the precision of the two FEC techniques, but these were minimal in the data set due to the strong influence of the individual foal, seasonality, and foal age on data variability.

Conclusion

  • This study aids in enhancing the understanding of Parascaris spp. egg-shedding patterns in untreated foals, and outlines the importance of considering various factors such as age and seasonality for accurate fecal egg counts.
  • The study also provides valuable insights about the precision of different ascarid FEC techniques, thereby guiding more effective disease management and intervention strategies.

Cite This Article

APA
Ripley NE, Gravatte HS, Britton LN, Davis SM, Perrin GM, Warner S, Rexroat EK, Vetter AL, Maron EES, Finnerty CA, Stanton V, Nielsen MK. (2023). Parascaris spp. eggs shedding patterns in juvenile horses. Vet Parasitol, 322, 110029. https://doi.org/10.1016/j.vetpar.2023.110029

Publication

ISSN: 1873-2550
NlmUniqueID: 7602745
Country: Netherlands
Language: English
Volume: 322
Pages: 110029
PII: S0304-4017(23)00160-7

Researcher Affiliations

Ripley, Nichol E
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA. Electronic address: nichol.ripley@uky.edu.
Gravatte, Holli S
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Britton, Leah N
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Davis, Sarah M
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Perrin, Grace M
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Warner, Shaelin
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Rexroat, Elizabeth K
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Vetter, Abigail L
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Maron, Emily E S
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Finnerty, Constance A
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.
Stanton, Victoria
  • Department of Statistics, University of Kentucky, 725 Rose Street, Lexington, KY 40536, USA.
Nielsen, Martin K
  • M.H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, 1400 Nicholasville Road, Lexington, KY 40503, USA.

MeSH Terms

  • Animals
  • Horses
  • Ascaridoidea
  • Horse Diseases
  • Ascaridida Infections / veterinary
  • Parasite Egg Count / veterinary
  • Ovum
  • Feces

Conflict of Interest Statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Citations

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