Schistosoma japonicum: Day to Day Variation in Excretion and Hatchability of Parasite Eggs in the Domestic Pig, Suis suis

• Published in: Experimental parasitology 2000-05, Vol.95 (1), p.8-18
• Main Authors: Giver, H., de Vlas, S.J., Johansen, M.V., Christensen, N.Ø., Nansen, P.
• Format: Article
• Language: English
• Subjects: Animal helminthic diseases; Animals; Biological and medical sciences; Circadian Rhythm; day to day variation; Disease Models, Animal; fecal egg excretion; Feces - parasitology; hatchability; Helminthic diseases; heterogeneity; Infectious diseases; Male; Medical sciences; Models, Biological; Parasite Egg Count; Parasitic diseases; pig; residuals; Schistosoma japonicum; Schistosoma japonicum - physiology; Schistosomiasis japonica - parasitology; Specific Pathogen-Free Organisms; statistical analysis; Swine; Time Factors; trematode
• ISSN: 0014-4894; 1090-2449
• DOI: 10.1006/expr.2000.4506

Giver, H., de Vlas, S. J., Johansen, M. V., Christensen, N. Ø., and Nansen, P. 2000. Schistosoma japonicum: Day to day variation in excretion and hatchability of parasite eggs in the domestic pig, Suis suis. Experimental Parasitology95, 8–18. The aim of the present study was to describe the course of an Schistosoma japonicum infection in individual pigs over time, with special regards to fecal egg counts and egg hatchablilty, emphasizing the extent of variation during and between days. Five specific pathogen free Danish Landrace/Yorkshire/Duroc crossbred male pigs were each given 3500 cercariae intramuscularly. From day 36 to 62 post infection, fecal samples were collected from each pig, morning and evening. Pigs were perfused 62 days post infection. Actual fecal egg counts, miracidial counts, and worm burdens were determined. The trend of fecal egg excretion was adequately described with a third order polynomial and logarithmic link function. Miracidial counts were related directly to morning fecal egg counts through a simple linear function. The study revealed a fairly similar overall pattern of egg excretion for all pigs, showing an increase in egg excretion until week 8, followed by a marked reduction to almost zero. In general, large fluctuations around this trend were seen for all pigs, as revealed in variations in egg counts within the same day as well as between days. However, as revealed by the estimated model lines, these fluctuations are due to random variation in egg density in stools rather than being caused by biologically determined cycles. An exact time for both first occurrence of eggs in feces (days 35–38 post infection) and for peak egg counts (days 44–48 post infection) was predicted for each individual pig. Furthermore, the model revealed that miracidial counts can be related directly to the expected fecal egg counts of the same day through a parameter, which represents hatchability. This hatchability parameter was found to be independent of time post infection for each pig, but large individual differences were seen in hatchability between the pigs.