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BMC Veterinary Research

Research article
Open Access

The nutritional status affects the complete blood count of goats experimentally infected with Haemonchus contortus

BMC Veterinary ResearchBMC series – open, inclusive and trusted201713:326

https://doi.org/10.1186/s12917-017-1248-4

©  The Author(s). 2017

Received: 21 April 2017

Accepted: 31 October 2017

Published: 9 November 2017

Abstract

Background

Gastrointestinal nematode (GIN) remains the most important pathogenic constraint of small ruminant production worldwide. The improvement of the host immune response against GIN though breeding for improved animal resistance, vaccination and nutritional supplementation appear as very promising methods. The objective of this study was to investigate the effect of four nutritional status differing in protein and energy levels (Hay: 5.1 MJ/Kg of dry matter (DM) and 7.6% of crude protein (CP), Ban: 8.3 MJ/Kg of DM and 7.5% of CP, Soy: 7.6 MJ/Kg of DM and 17.3% of CP, BS: 12.7 MJ/Kg of DM and 7.4% of CP) on the haematological disturbances due to Haemonchus contortus infection in Creole kid goats.

Results

No significant effect of the nutritional status was observed for faecal egg count (FEC) but the experimental infection induced haematological disturbances whose intensity and lengthening were dependent on the nutritional status. A transient marked regenerative macrocytic hypochromic anaemia as revealed by a decrease of packed cell volume (PCV), red blood cells (RBC) and hemoglobin and an increase of reticulocytes was observed in all infected groups except Hay. In this latter, the anaemia settled until the end of the experiment. Furthermore, H. contortus induced a thrombocytopenia significantly more pronounced in the group under the lowest nutritional status in term of protein (Hay and Ban). A principal component analysis revealed that the variables that discriminated the nutritional status were the average daily gain (ADG) and the PCV, considered as measures of the level of resilience to H. contortus infection. Moreover, the variables that discriminated infected and non-infected animals were mostly related to the biology of RBC (i.e. size and hemoglobin content) and they were correlated with FEC.

Conclusions

The severity and the lengthening of the regenerative anaemia and the thrombocytopenia induced by H. contortus have been affected by the nutritional status. The protein enriched diets induced resilience to the infection rather than resistance. This suggests that resilience is associated with an improved regenerative capacity of the bone marrow. However, this needs to be further investigated to understand the relationships between resistance, resilience and dietary supplementation.

Keywords

Blood cellsGastrointestinal nematodeGoatsNutrition

Background

Gastrointestinal nematode (GIN) infection remains the most important pathogenic constraint of small ruminant production worldwide. The use of chemical drugs as the unique control method is compromised due to the widespread development of anthelmintic resistant GIN populations throughout the world [1, 2]. In addition, the negative possible environmental impacts of anthelmintic residues and the growing consumer demand for chemical-free animal products increase the need for alternative and/or complementary control strategies [3]. The integrated management of GIN infection aims to better control the GIN populations in order to reach a favourable equilibrium for animal production between host and parasites. Thus, numerous axes of research have been developed to control the parasite population both during the host and the free living stages. The improvement of the host immune response against GIN though breeding for improved animal resistance, vaccination and nutritional supplementation appear as very promising methods [4, 5].

Nutritional management of small ruminants has long been considered as a tool for the control of GIN infections [6, 7]. It has been suggested that the nutritional status and the capacity of the host to mount an efficient immune response against invading pathogens are closely associated [8, 9]. Indeed, mounting an immune response is both expensive, in terms of proteins, and calories, because of the metabolic requirement of immune cells, the synthesis of proteinaceous immune mediators and the repairing of damaged tissue [10]. Minerals, trace elements and vitamins are also required for the development of immunity [11, 12]. However, numerous studies have shown that the level of nutrition of the host improve either the resilience or the resistance to GIN infections [13, 14]. The resistance is considered as the capacity of the host to develop an efficient protective response and limit the level of parasitism and the resilience as the capacity to limit the pathophysiological consequences of the infection and maintain the level of production. The expression of resilience or resistance would depend on the host genotype, the physiological stage and the quality of the diet mainly in term of protein [15, 16].

Studies that investigate the impact of the nutritional status of infected small ruminants on the interaction between the GIN parasitism and the physiological disturbances are lacking. Therefore the objective of this study was to investigate the effect of the nutritional status on the haematological disturbances due to Haemonchus contortus infection in Creole kid goats.

Methods

Animals, management and experimental design

This experiment was conducted at the Institut National de la Recherche Agronomique Animal Production Unit (INRA-PTEA, Guadeloupe, French West Indies) experimental facilities (16°N16’ latitude, 61°W30’ longitude). The Creole goat kids (n = 60, 18.88 ± 3.54 kg body weight (BW); 7 months old) had experienced GIN infection at pasture before been randomly placed indoors in four collective pens (n = 15 kids/pen) corresponding to the experimental groups, 1 month before the experimental infection. The animals were drenched with moxidectine (Cydectine®, Fort Dodge Veterinaria S.A., Tours, France, 300 μg/kg BW) and toltrazuril (Baycox Ovis, Bayer HealthCare, Loos, France, 20 mg/kg BW) and housed under worm-free conditions. During this period, nematode faecal egg counts (FEC) remained at zero. Each group was placed under one of 4 distinct dietary status: Hay (Hay ad libitum non supplemented), Ban (Hay ad libitum + 1250 g of Fresh unripe banana/kids), Soy (Hay +250 g Soybean Meal/kids) and BS (Hay ad libitum + 125 g of Soybean Meal +625 g of Fresh unripe banana/kids). The composition and nutritional values of the diets is shown in Table 1. The supplement, fresh banana (cut into thin slices each day) and/or soybean meal were distributed first and individually with the help of yoke traps during the time of diet consumption.. Thereafter, the hay was distributed ad libitum and animals have free-choice access to fresh water. Feeding stalls were long enough to avoid competition for hay between the kids. The offered hay was adjusted to the groups BW (120% of the maximum intake capacity). After a 1 month period of adaptation to the collective pens and the diet conditions, a total of 10 kids/pen in each group were experimentally infected with a single oral dose of 10,000 H. contortus third-stage infective larvae (L3) and 5 kids/pen remain non-infected (infected and non-infected groups on the same diet remained in the same collective pen). The L3 were obtained 35 days before challenge from coproculture of monospecifically infected donor Creole goats with isolates previously obtained from Creole goats reared on pasture in different farms in Guadeloupe [17].
Table 1

Composition and nutritional values of diets

 

Nutritional conditions

 

Hay

Ban

Soy

BS

Ingredients (g/Kg DM)

 Hay

1000

750

780

762.5

 Fresh banana

0

250

0

125

 Soybean meal

0

0

220

112.5

Chemical composition (%)

 OMa

88.2

92.9

94.2

94.7

 CPb

7.6

8.3

17.3

12.7

 NDFc

65.9

50.8

46.3

45.0

 ADFd

32.2

25.8

23.2

21.8

 ADLe

4.6

3.0

2.2

2.7

 MEf (MJ/Kg DM)

5.1

7.5

7.6

7.4

a OM Organic Matter, b CP Crude protein, c NDF Neutral Detergent Fiber, d ADF Acid Detergent Fiber, e ADL Acid Detergent Lignin, f ME Metabolizable Energy

Growth measurements

The animals were weighed weekly from the day of infection until the end of the experiment to adjust the offered quantities at 120% of the maximum intake capacity according to BW changes and to measure the individual growth rates.

Faecal egg count

Approximately 10 g of faeces were weekly collected during experimental infection directly from the rectum of each animal to determine the FEC. The faeces were kept in plastic tubes to avoid contamination and immediately transported from the experimental facility to the laboratory in refrigerated vials. All samples were individually analyzed using a modified McMaster method for rapid determination and FEC was expressed as the number of eggs/g faeces [18].

Blood cell counts

During the experimental infection, blood samples were individually collected once a week by jugular venipuncture on each animal by using disposable syringes and 20-Ga needles. A 4 mL portion of each blood sample was placed in commercial anticoagulant tubes (ethylenediamine tetraacetic acid K3, EDTA tubes; Becton Dickinson, Plymouth, UK). Blood samples previously placed in EDTA coated tubes were analyzed for a standard haematological profil using a MS4-e (Melet Schloesing Pharmaceuticals s.a., Rue du Collège 90 CH-2300, La Chaux de Fonds, Suisse). The number of circulating eosinophils was determined according to the method of Dawkins et al. [19] with a Malassez cell counter.

Calculation and statistical analysis

All the animal variables were analyzed by a linear mixed model using the PROC MIXED of SAS (Version 9, SAS Inst., Inc., Cary, NC, 1999). Because of skewed distributions, FEC and eosinophilia variables were logarithm transformed (ln (FEC + 15), ln (Blood eosinophils + 1) respectively) and the other haematological data were square-root transformed, to normalise residual variances. The model included fixed effects of the days post-infection (T), the dietary status (D), the infection status (I) and the significant interaction between D and I and T as defined below:
$$ {y}_{ijk lm}=\mu +\mathrm{D}i+\mathrm{I}j+{\mathrm{T}}_k+{\left(\mathrm{D}\times \mathrm{I}\times \mathrm{T}\right)}_{ijk}+{a}_{ijl}++{\varepsilon}_{jklm}. $$

where y is the observed values; μ the overall mean; D i the fixed effect of the ith dietary condition (i = 1 to 4), I j the fixed effect of the jth infection status (infected vs non-infected), T k the fixed effect of the kth day post-infection (k = 0 to 49), (D × I × T) ijk the interaction of the dietary condition, the infection status and the days post-infection, a ijl is the random effect associated with the lth animal in dietary condition i and infection status j; and Ɛ ijklm the random error. All the interactions were initially tested for all variables and only the (D × I × T) ijk was statistically significant (P < 0.05) and retained in the model. An unstructured variance-covariance structure was used to model the covariance between two observations on the same animal. The same model was applied for all the animal variables except growth rate (Average Daily Gain, ADG). The ADG of the animals were estimated by adjusting the weight curve with a linear model. Significance was declared at ≤5% of probability. A principal component analysis (PCA) was performed using the FactoMineR package [20] in R version 3.3.2 (R Cor Team, 2016). The PCA allows to explore the relationships between all the variables (zootechnical, parasitological and haematological) and to describe similarities and differences between animals and associations between variables, to better defined the nutritional and the infection status respectively. The PCA was done with the 13 variables (2 parasitological and zootechnical variables and 11 haematological variables) as active variables and the animals as individuals, ignoring the infection status (I) and the dietary conditions (D). The interaction D × I was included in the PCA analysis as illustrative variable to obtain their coordinates on the different principal components. The two first principal components were then used to plot each animal individually from 28 to 49 days post-infection (d.p.i). corresponding to the period of eggs excretion in the faeces.

Results

Parasitological and zootechnical parameters

In the experimentally infected animals, the FEC remained at zero until 28 d.p.i. (Fig. 1). Thereafter FEC increased significantly whatever the dietary status until 49 d.p.i. No significant effect of the dietary status was observed for FEC (P > 0.05). No faecal egg excretion was observed in the non-infected animals during the study (data not shown).
Fig. 1

Least square means of Faecal egg counts (FEC) according to the nutritional status: Ban: Banana (•, Infected and gray circle, Non-Infected); Hay (■, Infected and gray square, Non-Infected); Soy: Soybean Meal (▲, Infected and gray triangle, Non-Infected); BS: Soybean Meal + Banana (♦, Infected and gray diamond, Non-Infected)

A significant interaction was observed between the dietary and the infection status for the ADG (P < 0.001, Fig. 2). The ADG was significantly higher in the Soy and the BS groups whatever the infection status (P < 0.01). No significant difference was observed between the non-supplemented groups (Hay) whatever the infection status and the non-infected kids of the Ban group (P > 0.05). A significant negative effect of the infection status was observed only in the Soy and the Ban groups (−12% and −76% between non-infected and infected kids respectively, P < 0.05). The ADG of infected kids was significantly higher in the Hay group compared with the Ban group (48.5 vs. 8.05 g/day respectively, P < 0.01). No effect of the infection status was observed in the Hay and the BS groups (P > 0.05).
Fig. 2

Means and standard errors of Average Daily Gain (ADG) according to the nutritional and the infection status

Haematological parameters

Significant interactions were observed between the dietary and the infection status and the time (d.p.i.) for all the haematological parameters (P < 0.01, Fig. 3). A higher variability of the measured parameters was observed in the infected animals. The packed cell volume (PCV), the red blood cells concentration (RBC), the blood hemoglobin concentration, the mean corpuscular hemoglobin concentration (MCHC) and the platelets concentration significantly decreased in the infected animals but not in the non-infected ones. In the infected animals, at 21 d.p.i. the Hay group reached the lowest values for these haematological parameters except MCHC and it remained significantly lower than the Ban, Soy and BS groups (P < 0.01, Fig. 3). The mean corpuscular volume (MCV) increased significantly (P < 0.01) in the infected animals whatever the dietary status. No interaction between time and the dietary status was observed for MCV in the non-infected animals (P > 0.05).
Fig. 3

Least square means of haematological parameters according to the nutritional and the infection status: Ban: Banana (•, Infected and gray circle, Non-Infected); Hay (■, Infected and gray square, Non-Infected); Soy: Soybean Meal (▲, Infected and gray triangle, Non-Infected); BS: Soybean Meal + Banana (♦, Infected and gray diamond, Non-Infected)

Circulating immune cells

The results for circulating basophils were negligible whatever the dietary or the infection status (data not shown). A significant interaction between the dietary and the infection status and the time was observed for the circulating immune cells except for circulating monocytes (P < 0.01, Fig. 4). Circulating lymphocytes and neutrophils decreased slightly but significantly in infected animals (P < 0.05). No variation of the circulating monocytes was observed during the course of the experiment whatever the dietary and the infection status (P > 0.05). The circulating eosinophils were significantly higher in the infected animals from 14 to 35 d.p.i. (P < 0.001). At 35 d.p.i. the circulating eosinophils decreased to the level of non-infected animals in all dietary status except for Hay.
Fig. 4

Least square means of blood immune cells according to the nutritional and the infection status: Ban: Banana (•, Infected and gray circle, Non-Infected); Hay (■, Infected and gray square, Non-Infected); Soy: Soybean Meal (▲, Infected and gray triangle, Non-Infected); BS: Soybean Meal + Banana (♦, Infected and gray diamond, Non-Infected)

Principal component analysis of the haemotological, parasitological and zootechnical parameters

The first three principal components of the PCA explained 70.3% of the total variation (34.1%, 19.5% and 16.6% respectively, Table 2). The Fig. 5a shows the contribution of each parameter to the first and the second principal component. The first principal component seemed to contrast FEC, MCV with Platelets, MCH and MCHC. The second principal component seemed to be mainly defined by the contrast between PCV, RBC ADG, and monocytes, lymphocytes and eosinophils. Each animal at each time point, from 28 to 49 d.p.i. was projected on the scatter plot using the two first principal components (Fig. 5b). The infection status (infected and non-infected) was mainly described by the first principal component and the dietary status (Hay, Ban, Soy and BS) by the second principal component.
Table 2

Estimate of eigenvalues (λj), percentage of variance (λ%), and cumulative variance and eigenvectors associated to the three first principal components of the animal responses during an experimental H. contortus infection (from 28 to 49 days post-infection)

F a

λj

λ(%)

Cumulative variance (%)

Associated eigenvectorsb

ADGb

FECc

PCVd

RBCe

Hgbf

MCVg

MCHh

MCHCi

Platj

Lymk

Monl

Neutm

Eosn

1

4.78

34.14

34.14

0.26

−0.36

0.48

0.66

0.84

−0.50

0.63

0.71

0.80

0.67

0.55

0.50

0.24

2

2.73

19.49

53.63

0.59

0.03

0.76

0.67

0.52

0.25

−0.13

−0.23

0.13

−0.48

−0.56

−0.29

−0.31

3

2.33

16.63

70.27

0.31

0.31

0.37

0.18

−0.02

0.55

−0.44

−0.61

−0.44

0.54

0.42

0.53

0.16

a F Functions (Principal components), b ADG Average Daily Gain, c FEC Feacal Egg counts, d PCV Packed Cell Volume, e RBC Red Blood Cells, f Hgb Hemoglobin, g MCV Mean Corpuscular Volume, h MCH Mean Corpuscular Hemoglobin, i MCHC Mean Corpuscular Hemoglobin Concentration, j Plat Platelets, k Lym Lymphocytes, l Mon Monocytes, m Neut Neutrophiles, n Eos Eosinophils

Fig. 5

Principal component analysis of the haematological, parasitological and zootechnical parameters. a Mapping of the parameters and (b) Representation of the animals according to the dietary (Ban: Banana; Hay; Soy: Soybean Meal; BS: Soybean Meal + Banana) and the infection (I: experimentally infected with Haemonchus contortus; NI: Non-infected) status from 28 until 49 days post-infection on two-dimensional scatter plot. FEC: Faecal egg counts; MCV: Mean Cell Volume; ADG: Average Daily Gain; PCV: Packed Cell Volume; RBC: Red Blood Cells; Hgb: Hemoglobin; MCH: Mean Corpuscular Hemoglobin; MCHC: Mean Corpuscular Hemoglobin Concentration

Discussion

The nutritional status is closely associated with the intensity of the pathological impact of GIN infection in small ruminants. It has been shown that an improved nutritional status can reduce significantly production losses due to GIN infection by reducing both morbidity and mortality [21, 22]. In H. contortus infection, morbidity and mortality are mainly caused by the haematophagous activity of both larval and adult stages of the parasite whose consequence is an irreversible loss of protein. The objective of this study was to investigate the effect of the nutritional status on the haematological disturbances due to H. contortus infection in Creole kid goats. No significant effect of the nutritional status was observed for FEC. In accordance with a previous study, a single bolus oral experimental infection of Creole kid goats that previously experienced natural GIN infection at pasture induce a low level of parasitism measured through the FEC and the lengthening of the prepatent period [17]. Nonetheless, we showed a significant interaction between the nutritional and the infection status on the growth rate. The animal placed under the lowest nutritional status in term of protein (i.e. Hay and Ban) showed the lowest growth rate and the experimental infection reduced the growth rate only for animals placed in the Ban and the Soy groups. Furthermore, the experimental infection induced haematological disturbances whose intensity and lengthening were dependent on the nutritional status. A transient marked anaemia as revealed by a decrease of PCV, RBC and hemoglobin concentrations was observed in all infected groups except Hay. In this latter, the anaemia settled until the end of the experiment. Interestingly, the concentration of hemoglobin (MCHC) did not increase proportionally with the increase in RBC size (MCV). These RBC with a larger volume and a lower hemoglobin concentration were probably reticulocytes (i.e. immatures RBC) as previously shown [23]. These results were in accordance with previous studies conducted in sheep, characterizing the type of anaemia induced by H. contortus as regenerative macrocytic hypochromic anaemia [24, 25]. Indeed, the pathogenesis of regenerative anaemia includes external hemorrhage which is chronic in the case of H. contortus infection. Furthermore, in the present experiment the number of platelets decreased in all infected animals. This thrombocytopenia was significantly more pronounced in the Hay group, as for PCV, RBC and hemoglobin. Similarly, it has been shown in H. contortus infected sheep that the number of platelets decreased progressively during the course of H. contortus infection [23]. To our knowledge, besides this study in sheep and ours in goats, this result has never been described in the literature. However, a platelet aggregation and adhesion inhibitor from adults H. contortus has been identified and characterized in vitro [26]. It must be emphasized that the host blood taken from the abomasal mucosa is the main nutrient source of the parasitic stage of H. contortus. Altogether, these results strongly suggested that H. contortus has developed a broad-spectrum strategy to manipulate the host’s hemostatic system, which would target especially the blood platelets.

With the exception of eosinophils, the blood leucocytes counts were not affected by the infection and the nutritional status. Indeed, many studies showed significant correlations between resistance/susceptibility to GIN infection and the magnitude of the peripheral blood eosinophil [27]. Even though this relationship has not been observed in all studies, it is largely admitted that peripheral blood eosinophil plays a key role in the protective response to GIN [28–30]. In contrast with a previous study in Creole goat [31], blood eosinophil counts were not affected by the nutritional status. In the present study the nutritional status were not as contrasted as it was previously. On the other hand, it has been shown that peripheral blood lymphocytes are also involved in the protective response to GIN. A significant negative phenotypic correlation has been found between blood lymphocyte counts and H. contortus fecundity [32]. In contrast, in another sheep breed, lymphopenia was observed in H. contortus infected lambs [33]. However, the close association between the resistance to GIN infection and the host immune response has been demonstrated in a study showing that depletion of CD4+ T lymphocytes significantly increased the parasitic load in a resistant sheep breed [28]. In Creole goats experimentally infected, we have showed that the level of circulating activated CD4+ and CD8+ T lymphocytes were higher in susceptible animals compared with resistant [34]. Altogether these results obtained in different sheep breeds and goats, with different level of parasitism confirmed the effective role of lymphocytes in the host response against GIN, but also emphasize the need to better investigate this relationship.

The comparison between the Hay and the Ban groups showed that infected animals in the Hay groups prioritize growth at the expense of a marked pathological impact while the reverse was observed in the Ban group. These results were partly in keeping with previous studies suggesting that an improved nutritional status (here Soy and BS compared to Hay and Ban) induced resilience rather than resistance to the experimental H. contortus infection (i.e. reduced pathological impact for the same parasitic load) [25, 35, 36]. Interestingly, the PCA revealed that in our study the variables that discriminated the nutritional status were ADG and PCV, considered as measures of the level of resilience to H. contortus infection, and eosinophils. Moreover, the variables that discriminated infected and non-infected animals at the cellular level were mostly related to the biology of red blood cells (i.e. size and hemoglobin content) and they were correlated with FEC. The association of eosinophils with resilience was not surprising in our animal model since we had previously shown that, in contrast with numerous studies in sheep, blood eosinophil counts were associated with the level of infection rather than the protective response in goats [34].

Otherwise, other studies including one of ours, have also reported resistance to GIN (i.e. reduced pathological impact and parasitic load) induced by an improved nutritional status [31, 37, 38]. Discrepancy between the different studies could be attributed to the animals physiological stage which would influenced the trade-offs between the immune response against invading pathogens and others physiological functions [39]. The quality of the metabolizable protein arising from the rumen (microbial protein vs by-pass protein), could also be an explanation since the amino acid composition of immune proteins is more compatible with that of by-pass proteins [16]. Further research is needed to better understand the nutrition × parasitism interaction in small ruminant for a better fine tuning of the technical recommendations to breeders.

Conclusions

The results showed that infection with H. contortus induced a regenerative anaemia and a thrombocytopenia. The severity and lengthening of these pathological disturbances have been affected by the nutritional status, the protein enriched diets induced resilience to the infection rather than resistance. This suggests that resilience is associated with an improved regenerative capacity of the bone marrow. However, further investigation to understand the relationships between resistance, resilience and dietary supplementation.

Declarations

Acknowledgments

The authors want to give thanks to the Gardel team for care and handling of the animals: T. Kandassamy, W. Troupé, J. Gobardhan and S.-A. Matou.

Funding

This study was funded by the Project Agroecodiv (La Région Guadeloupe and Fonds Européens FEDER) and the INRA métaprogramme GISA (Gestion Intégrée de la Santé Animale) Project Strep (drastic and Sustainable Treatment Reduction against Parasitism in livestock). S. Ceriac was supported by a doctoral fellowship from la Région Guadeloupe and the division of animal genetics of INRA.

Availability of data and materials

All data supporting the results of this study are included within this article.

Authors’ contributions

JCB, HA and SC conceived and designed the experiments, CJ and RA and the Gardel team collected samples for the haematological and parasitological analysis. DF and YF performed the haematological and parasitological analysis. JCB and SC performed the statistical analysis and wrote the paper. All authors read and approved the final manuscript.

Competing interest

The authors declare that they have no competing interests.

Ethics approval and consent to participate

All animal care, handling techniques, procedures as well as license for experimental infection and blood sampling were approved by the current law on animal experimentation and ethics (HC-69-2014-1 from the Animal Care and Use Committee of French West Indies and Guyana), according to the certificate number A-971–18-02 of authorization to experiment on living animals issued by the French Ministry of Agriculture, before the initiation of the experiment.

Consent for publication

Not applicable.

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Authors’ Affiliations

(1)
URZ, INRA, Petit-Bourg, France
(2)
PTEA, INRA, Le Moule, France

References

  1. Bishop SC, Morris CA. Genetics of disease resistance in sheep and goats. Small Rumin Res. 2007;70(1):48–59.View ArticleGoogle Scholar
  2. Papadopoulos E. Anthelmintic resistance in sheep nematodes. Small Rumin Res. 2008;76(1–2):99–103.View ArticleGoogle Scholar
  3. Beynon SA. Potential environmental consequences of administration of anthelmintics to sheep. Vet Parasitol. 2012;189(1):113–24.View ArticlePubMedGoogle Scholar
  4. Baker RL, Gray GD. Worm control for small ruminants in tropical Asia. Australian Centre for International Agricultural Research (ACIAR). 2003;Monograph 113:63–95.Google Scholar
  5. van Wyk JA, Bath GF. The FAMACHA((c)) system for managing haemonchosis in sheep and goats by clinically identifying individual animals for treatment. Vet Res. 2002;33(5):509–29.View ArticlePubMedGoogle Scholar
  6. Clunies Ross I, Gordon H. McL.: nutritional factors affecting reistance to haemonchosis. Aust Vet J. 1933;9:100–7.View ArticleGoogle Scholar
  7. Gibson TE. The influence of nutrition on the relationships between gastro-intestinal parasites and their hosts. Proc Nutr Soc. 1963;22:15–20.View ArticlePubMedGoogle Scholar
  8. Adams CA. Nutrition-based health in animal production. Nutr Res Rev. 2006;19(1):79–89.View ArticlePubMedGoogle Scholar
  9. Colditz IG. Six costs of immunity to gastrointestinal nematode infections. Parasite Immunol. 2008;30(2):63–70.PubMedGoogle Scholar
  10. Lochmiller RL, Deerenberg C. Trade-offs in evolutionary immunology: just what is the cost of immunity? Oikos. 2000;88(1):87–98.View ArticleGoogle Scholar
  11. Koski KG, Scott ME. Gastrointestinal nematodes, trace elements, and immunity. J Trace Elem Exp Med. 2003;16(4):237–51.View ArticleGoogle Scholar
  12. McClure SJ. How minerals may influence the development and expression of immunity to endoparasites in livestock. Parasite Immunol. 2008;30(2):89–100.PubMedGoogle Scholar
  13. Torres-Acosta JFJ, Sandoval-Castro CA, Hoste H, Aguilar-Caballero AJ, Camara-Sarmiento R, Alonso-Diaz MA. Nutritional manipulation of sheep and goats for the control of gastrointestinal nematodes under hot humid and subhumid tropical conditions. Small Rumin Res. 2012;103(1):28–40.View ArticleGoogle Scholar
  14. Walkden-Brown SW, Kahn LP. Nutritional modulation of resistance and resilience to gastrointestinal nematode infection - a review. Asian-Australas J Anim Sci. 2002;15(6):912–24.View ArticleGoogle Scholar
  15. Knox MR, Torres-Acosta JFJ, Aguilar-Caballero AJ. Exploiting the effect of dietary supplementation of small ruminants on resilience and resistance against gastrointestinal nematodes. Vet Parasitol. 2006;139(4):385–93.View ArticlePubMedGoogle Scholar
  16. Houdijk JGM. Differential effects of protein and energy scarcity on resistance to nematode parasites. Small Rumin Res. 2012;103(1):41–9.View ArticleGoogle Scholar
  17. Bambou JC, de la Chevrotiere C, Varo H, Arquet R, Kooyman FNJ, Mandonnet N. Serum antibody responses in Creole kids experimentally infected with Haemonchus contortus. Vet Parasitol. 2008;158(4):311–8.View ArticlePubMedGoogle Scholar
  18. Aumont G, R. Pouillot, Mandonnet N: Le dénombrement des éléments parasitaires: Un outil pour l'étude de la résistance génétique aux endo-parasites chez les petits ruminants. Workshop final de l’AT CIRAD-MIPA 72/94, Guadeloupe 1997.Google Scholar
  19. Dawkins HJS, Windon RG, Eagleson GK. Eosinophil responses in sheep selected for high and low responsiveness to Trichostrongylus colubriformis. Int J Parasitol. 1989;19(2):199–205.View ArticlePubMedGoogle Scholar
  20. Le S, Josse J, Husson F. FactoMineR: an R package for multivariate analysis. J Stat Softw. 2008;25(1):1–18.View ArticleGoogle Scholar
  21. Sykes AR, Coop RL. Interaction between nutrition and gastrointestinal parasitism in sheep. New Zeal Vet J. 2001;49(6):222–6.View ArticleGoogle Scholar
  22. Walkden-Brown SW, Kahn LP: Nutritional modulation of resistance and resilience to gastrointestinal nematode infection - a review. In: International symposium on new challenges for animal science in a new century 2001; Sendai, Japan; 2001: 912-924.Google Scholar
  23. Andronicos NM, Henshall JM, Le Jambre LF, Hunt PW, Ingham AB. A one shot blood phenotype can identify sheep that resist Haemonchus contortus challenge. Vet Parasitol. 2014;205(3–4):595–605.View ArticlePubMedGoogle Scholar
  24. Khan FA, Sahoo A, Sonawane GG, Karim SA, Dhakad S, Pareek AK, Tripathi BN. Effect of dietary protein on responses of lambs to repeated Haemonchus contortus infection. Livest Sci. 2012;150(1–3):143–51.View ArticleGoogle Scholar
  25. Abbott EM, Parkins JJ, Holmes PH. The effect of dietary-protein on the pathogenesis of acute ovine haemonchosis. Vet Parasitol. 1986;20(4):275–89.View ArticlePubMedGoogle Scholar
  26. Crab A, Noppe W, Pelicaen C, Van Hoorelbeke K, Deckmyn H. The parasitic hematophagous worm Haemonchus contortus inhibits human platelet aggregation and adhesion: partial purification of a platelet inhibitor. Thromb Haemost. 2002;87(5):899–904.PubMedGoogle Scholar
  27. Meeusen E, Balic A, Bowles V. Cells, cytokines and other molecules associated with rejection of gastrointestinal nematode parasites. Vet Immunol Immunopathol. 2005;108(1–2):121–5.View ArticlePubMedGoogle Scholar
  28. Gill HS. Genetic control of acquired resistance to haemonchosis in merino lambs. Parasite Immunol. 1991;13:617–28.View ArticlePubMedGoogle Scholar
  29. Adams DB. Systemic responses to challenge infection with Haemonchus contortus in immune merino sheep. Vet Res Commun. 1993;17(1):25–35.View ArticlePubMedGoogle Scholar
  30. Woolaston RR, Manueli P, Eady SJ, Barger IA, LeJambre LF, Banks DJD, Windon RG. The value of circulating eosinophil count as a selection criterion for resistance of sheep to trichostrongyle parasites. Int J Parasitol. 1996;26(1):123–6.View ArticlePubMedGoogle Scholar
  31. Bambou JC, Archimede H, Arquet R, Mahieu M, Alexandre G, Gonzalez-Garcia E, Mandonnet N. Effect of dietary supplementation on resistance to experimental infection with Haemonchus contortus in Creole kids. Vet Parasitol. 2011;178(3–4):279–85.View ArticlePubMedGoogle Scholar
  32. Rowe A, McMaster K, Emery D, Sangster N. Haemonchus contortus infection in sheep: parasite fecundity correlates with worm size and host lymphocyte counts. Vet Parasitol. 2008;153(3–4):285–93.View ArticlePubMedGoogle Scholar
  33. Ortolani EL, Leal MLD, Minervino AHH, Aires AR, Coop RL, Jackson F, Suttle NF. Effects of parasitism on cellular immune response in sheep experimentally infected with Haemonchus contortus. Vet Parasitol. 2013;196(1–2):230–4.View ArticlePubMedGoogle Scholar
  34. Bambou JC, Gonzalez-Garcia E, de la Chevrotiere C, Arquet R, Vachiery N, Mandonnet N. Peripheral immune response in resistant and susceptible Creole kids experimentally infected with Haemonchus contortus. Small Rumin Res. 2009;82(1):34–9.View ArticleGoogle Scholar
  35. Wallace DS, Bairden K, Duncan JL, Fishwick G, Holmes PH, McKellar QA, Murray M, Parkins JJ, Stear M: Influence of soyabean meal supplementation on the resistance of Scottish blackface lambs to haemonchosis. Res Vet Sci 1996, 60(2):138-143.Google Scholar
  36. Datta FU, Nolan JV, Rowe JB, Gray GD. Protein supplementation improves the performance of parasitised sheep fed a straw-based diet. Int J Parasitol. 1998;28(8):1269–78.View ArticlePubMedGoogle Scholar
  37. Louvandini H, Veloso CFM, Paludo GR, Dell'Porto A, Gennari SM, McManus CM. Influence of protein supplementation on the resistance and resilience on young hair sheep naturally infected with gastrointestinal nematodes during rainy and dry seasons. Vet Parasitol. 2006;137(1–2):103–11.View ArticlePubMedGoogle Scholar
  38. Nnadi PA, Kamalu TN, Onah DN. The effect of dietary protein on the productivity of west African dwarf (WAD) goats infected with Haemonchus contortus. Vet Parasitol. 2009;161(3–4):232–8.View ArticlePubMedGoogle Scholar
  39. Rauw W. Immune response from a resource allocation perspective. Front Genet. 2012;3(267)Google Scholar

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