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Crowding effect on adult growth, pre-patent period and egg shedding of Fasciola hepatica

Published online by Cambridge University Press:  04 July 2006

M. A. VALERO
Affiliation:
Departamento de Parasitología, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andrés Estellés s/n, 46100 Burjassot – Valencia, Spain
M. DE RENZI
Affiliation:
Instituto Cavanilles de Biodiversidad y Biología Evolutiva, Universidad de Valencia, Apartado Postal 22085, 46071 Paterna-Valencia, Spain
M. PANOVA
Affiliation:
Departamento de Parasitología, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andrés Estellés s/n, 46100 Burjassot – Valencia, Spain
M. A. GARCIA-BODELON
Affiliation:
Departamento de Parasitología, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andrés Estellés s/n, 46100 Burjassot – Valencia, Spain
M. V. PERIAGO
Affiliation:
Departamento de Parasitología, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andrés Estellés s/n, 46100 Burjassot – Valencia, Spain
D. ORDOÑEZ
Affiliation:
Departamento de Parasitología, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andrés Estellés s/n, 46100 Burjassot – Valencia, Spain
S. MAS-COMA
Affiliation:
Departamento de Parasitología, Facultad de Farmacia, Universidad de Valencia, Av. Vicent Andrés Estellés s/n, 46100 Burjassot – Valencia, Spain
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Abstract

Fascioliasis pathogenesis depends on fluke burden. In human hyperendemic zones, individual infection intensities reach very high levels and the majority of infected subjects should be in the advanced chronic phase. The rat model offers a useful approach for pathological research in the advanced chronic period. The influence of infection intensity per rat on fluke development, pre-patent period and egg shedding (eggs/g faeces/worm) was analysed in 3 groups (I: 1–3 worms/rat; II: 4–6; III: 7–9). Ontogenetic trajectories of fluke body measures followed a logistic model. Results showed that when the burden increases, the maximum values of fluke measures decrease. The crowding effect is manifest when fluke measures approximate their maximums in the advanced chronic stage. The pre-patent period and egg production decrease when the burden increases. This means that measurements of eggs per gramme of faeces tend to underestimate the fluke burden. The present study demonstrates how to quantify the fascioliasis experimental rat model crowding effect on adult growth, pre-patent period and egg production. This quantification may be of great interest in epidemiological studies and in experimental research on the in vivo actions of different anthelminthic drugs and vaccines, pathology, immunology and resistance studies.

Information

Type
Research Article
Copyright
© 2006 Cambridge University Press
Figure 0

Table 1. Evolution of biometric measures of Fasciola hepatica in experimentally infected Wistar rats according to age (in days) at different infection levels

Figure 1

Fig. 1. Ontogenetic trajectory of body area (BA) (in mm2) as a function of time (days) with the logistic model y1=ym/[1+zαexp(−kt)] in Fasciola hepatica adults obtained in experimentally infected Wistar rats. Each point represents average; (○)=averages of Group I; (□)=averages of Group II; ([utri ])=averages of Group III. ———=function of Group I; — - — -=function of Group II; -------=function of Group III.

Figure 2

Table 2. Comparison between different infection levels in the logistic model (y1=ym/[1+zαexp(−kt)]) and in egg shedding data in Wistar rats experimentally infected with Fasciola hepatica

Figure 3

Table 3. Significant differences detected when comparing Fasciola hepatica adult allometric curves in pairs of infection levels by ANCOVA test (P<0·05)

Figure 4

Fig. 2. Effect of infection level (Group I=1–3 worms/rat; Group II=4–6 worms/rat; Group III=6–9 worms/rat) on theoretical growth rates in Fasciola hepatica adults obtained in experimentally infected Wistar rats, (A) rBA of body area versus body area, (B) rP of perimeter versus perimeter, (C) rBL of body length versus body length and (D) rBW of body width versus body width. Functions are calculated according to the parameters given in Table 2. ———=r of adults in Group I; — - — -=r of adults in Group II; -------=r of adults in Group III.