The herd-level prevalence of Fasciola hepatica infection in the goat population of Poland
Online veröffentlicht: 08. Aug. 2024
Seitenbereich: 373 - 379
Eingereicht: 27. Feb. 2024
Akzeptiert: 31. Juli 2024
DOI: https://doi.org/10.2478/jvetres-2024-0044
Schlüsselwörter
© 2024 M. Mickiewicz et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Traditionally, the diagnosis of fasciolosis was based on direct detection of fluke eggs in fresh faeces using the faecal sedimentation method (coproscopy). The method is considered to have very high diagnostic specificity (Sp) but low diagnostic sensitivity (Se) due to the 8–12-week prepatent period of fasciolosis, the paucity of eggs present frequently in a faecal sample and the intermittency of egg shedding (26). Several molecular diagnostic methods detecting
The prevalence of
A serological survey was conducted in the years 2014–2022. The herds were randomly selected for the study (according to simple random method) in the regions of Poland for which the risk of
Blood samples were collected from all adult goats (>1 year-old) kept in the herd at the moment of the visit of the scientific team. Blood collection was a part of caprine arthritis-encephalitis control programme described elsewhere. Blood sampling was approved by the Local Ethics Committee in Warsaw (approval nos 31/2013 and WAW2/048/2021). Blood was collected from the jugular vein into 10 mL clot activator tubes (BD Vacutainer; Becton Dickinson, Plymouth, UK), left overnight at +4°C for clotting, and centrifuged at 3,000 rpm (1,390 ×
Coproscopic survey (based on faecal egg count) was carried out in the years 2015– 2023. Faecal samples were obtained within the frame of the voluntary monitoring of gastrointestinal nematode infections and anthelmintic resistance run by the Division of Veterinary Epidemiology and Economics at the Institute of Veterinary Medicine of the Warsaw University of Life Sciences (35). Therefore, the number of herds to be tested was based on the non-random convenience method (46) and the minimum number of herds was not predetermined.
Faecal samples were collected directly from the rectum or immediately after defecation by farmers or by the scientific team during veterinary consultations on goat farms. If collected by the owners of the goats, faecal samples were placed individually in zip-lock plastic bags. Samples were delivered to the parasitological laboratory within 24 h at room temperature and processed within the next 24 h so that the total time which had elapsed between sample collection and examination did not exceed 48 h. The sample pooling procedure was the same whether the owner or a researcher had collected the samples. Faecal samples in each herd were combined into pooled samples consisting of samples of five goats each. The number of pooled samples for each herd varied depending on the overall number of examined animals. In the parasitological laboratory, five 3-g portions of faeces, one from each of five goats, were mixed and subsequently 3 g of this pooled sample was combined with 10 mL of water. The faecal samples were examined by centrifugal sedimentation test (50). The faecal solution was placed in a 15 mL test tube with 3 mL of (
Numerical variables (the numbers of goats in herds and prevalences) were not normally distributed (according to normal probability Q-Q plots and the Shapiro–Wilk W test); therefore, they were summarised using the median, interquartile range (IQR), and range. Categorical variables (serological and coproscopic status of herds and goats, geographic locations of herds, herd size categories, grazing on the pasture, access to water pools on the pasture and contact with sheep and cattle on the farm) were presented as counts and proportions. Associations between categorical variables were analysed using the maximum-likelihood G test or Fisher exact test (if the minimum expected value of the contingency table was <5), and the size of effect was presented as the odds ratio (OR). The Haldane– Anscombe correction for zero cells in the contingency table was used, if necessary. The 95% confidence intervals (CI 95%) for proportions were calculated using the Wilson score method (3). A significance level (α) was set at 0.05. The analysis was carried out in TIBCO Statistica 13.3 (TIBCO Software Inc., Palo Alto, CA, USA).
The serological survey enrolled 33 randomly selected herds counting from 9 to 183 adult goats with the median (IQR) of 35 (23–61) goats. Twelve herds (36.4%) were small, 17 (51.5%) were medium, and 4 (12.1%) large. In 32 of 33 herds, between 1 and 34 male goats (median of 3) were kept. The herds were located in 9 of the 16 provinces of Poland (Table 1). Between 9 and 168 adult goats with the median (IQR) of 33 (19–49) were tested per herd, which amounted to 1,464 adult goats (134 males and 1,330 females) in total.
Geographical distribution of goat herds tested for
Province | Number of herds tested serologically (% of 33 herds) | Number of seropositive herds / Number of tested herds | Number of herds tested coproscopically (% of 214 herds) |
---|---|---|---|
Małopolskie | 2 (6.1) | 2 / 2 | 35 (16.4) |
Mazowieckie | 1 (3.0) | 0 / 1 | 33 (15.4) |
Wielkopolskie | - | - | 19 (8.9) |
Warmińsko-Mazurskie | 14 (42.4) | 3 / 14 | 16 (7.5) |
Podkarpackie | - | - | 15 (7.0) |
Śląskie | 1 (3.0) | 0 / 1 | 12 (5.6) |
Pomorskie | 1 (3.0) | 0 / 1 | 11 (5.1) |
Lubelskie | 4 (12.1) | 1 / 4 | 11 (5.1) |
Łódzkie | - | - | 11 (5.1) |
Lubuskie | - | - | 9 (4.2) |
Kujawsko-Pomorskie | - | - | 9 (4.2) |
Dolnośląskie | - | - | 8 (3.7) |
Podlaskie | 5 (15.2) | 2 / 5 | 8 (3.7) |
Świętokrzyskie | 3 (9.1) | 2 / 3 | 6 (2.8)* |
Zachodniopomorskie | 2 (6.1) | 1 / 2 | 6 (2.8) |
Opolskie | - | 5 (2.3) |
– the herd in which a goat positive in the MM3-SERO ELISA and coproscopy was found
Seropositive goats were detected in 11 of 33 herds, which corresponded to a herd-level seroprevalence of 33.3% (CI 95%: 19.7%–50.4%). At the animal level, a positive result was found in only 17 of 1,464 tested goats (1 male and 16 females) (1.2%, CI 95%: 0.7%–1.9%). Two positive MM3-SERO ELISA results were indicative of a medium infestation and 15 positive results corresponded to a weak infestation. In 8 herds only a single goat was seropositive, while two, three and four goats were seropositive in the 3 remaining herds. The within-herd seroprevalence ranged from 0.8% to 11.1% with the median (IQR) of 2.3% (1.5%–4.6%) (Table 2). There were 14 inconclusive serological results, 12 of them in herds in which positive results were also found.
Herds in which at least one goat positive for
Herd | Number of adult goats in the herd | Sample size (sample fraction (%)) | Number of seropositive goats (weak/medium/strong infestation) | Within-herd seroprevalence (95% confidence interval) (%) |
---|---|---|---|---|
1 | 158 | 153 (96.8) | 2 (2/0/0) | 1.3 (0.4–4.6) |
2 | 66 | 66 (100) | 1 (1/0/0) | 1.5 (0.3–8.1) |
3 | 62 | 62 (100) | 4 (4/0/0) | 6.5 (2.5–15.5) |
4 | 27 | 27 (100) | 3 (2/1/0) | 11.1 (3.9–28.1) |
5 | 36 | 35 (97.2) | 1 (1/0/0) | 2.9 (0.5–14.5) |
6 | 61 | 51 (83.6) | 1 (1/0/0) | 2.0 (0.4–10.3) |
7 | 22 | 22 (100) | 1 (1/0/0) | 4.6 (0.8–21.8) |
8 | 33 | 33 (100) | 1 (1/0/0) | 3.0 (0.5–15.3) |
9 | 48 | 48 (100) | 1 (1/0/0) | 2.1 (0.4–10.9) |
10 | 127 | 127 (100) | 1 (1/0/0) | 0.8 (0.1–4.3) |
11 | 58 | 44 (75.9) | 1 (0/1/0) | 2.3 (0.4–11.8) |
The serological status of the herd was not significantly associated with its geographical location (with the province in which the farm was located) (P = 0.291) or with any other investigated risk factor (Table 3). The proportion of seropositive males (0.7%; 1/134) was not significantly different from the proportion of seropositive females (1.2%; 16/1330; P = 0.617).
The analysis of risk factors for herd-level seropositivity for
Risk factor | Category | Number of seropositive herds/Number of herds in the category (seroprevalence (%)) | P-value | Odds ratio (95% confidence interval) |
---|---|---|---|---|
Herd size | Small | 2 / 12 (16.7) | 0.291 | - |
Medium | 7 / 17 (41.2) | |||
Large | 2 / 4 (50.0) | |||
Grazing on the pasture | Yes | 9 / 31 (29.0) | 0.104 | 0.08 (0.01–1.9) |
No | 2 / 2 (100) | |||
Access to water pools on the pasture | Yes | 3 / 8 (37.5) | 0.999 | 1.28 (0.24–6.7) |
No | 8 / 25 (32.0) | |||
Contact with sheep on the farm | Yes | 4 / 10 (40.0) | 0.696 | 1.52 (0.33–7.2) |
No | 7 / 23 (30.4) | |||
Contact with cattle on the farm | Yes | 1 /6 (16.7) | 0.637 | 0.34 (0.04–3.3) |
No | 10 / 27 (37.0) |
Faecal samples of 2,770 goats from 214 herds were tested, including 17 of 33 serologically tested herds (51.5%; 8 of 11 seropositive and 9 of 22 seronegative herds). Between 1 and 83 faecal samples (median (IQR) of 10 (5–15)) per herd were tested. The herds were located in all provinces of Poland (Table 1). The herd-level prevalence of

The herd-level prevalence of
In only one herd, located in central Poland, a single positive faecal sample was found. This goat was also seropositive and its serological result indicated medium infestation. As the goat was emaciated, it was euthanised on the owner’s request and subjected to a necropsy. The post-mortem examination revealed liver lesions typical of chronic fasciolosis. The organ was fibrotic, with an irregular nodular surface and an opaque capsule. Upon cutting the thickened biliary ducts filled with numerous mature flukes were found.
Our study shows that
The MM3-SERO ELISA used in our study appears to be a very specific test according to studies so far carried out in sheep (31) and cattle (30). Such a high Sp is claimed to result from the use of a novel antigen captured by MM3 monoclonal antibodies and from controlling for potential unspecific cross-reactions by the use of additional wells on a plate which are coated solely by MM3 monoclonal antibodies. The very optimistic results presented in these studies should, however, be treated with great caution. They were all obtained by the same scientific team and have not been verified later by any other studies. Moreover, the MM3-SERO ELISA has never been validated on goats, although a large-scale cross-sectional study based on this ELISA was published for the goat population of Galicia, Spain (39). The MM3-SERO ELISA is based on anti-ruminant IgG1 conjugate; therefore the chance is low that it would work worse in goats than in sheep, but still an assumption that it is perfectly specific in goats should be made very cautiously.
Undoubtedly, our study shows that
Moreover, the common use of benzimidazoles on goat farms in Poland may lead to unintentional and somehow accidental reduction of active