Open Access
Issue
Parasite
Volume 27, 2020
Article Number 3
Number of page(s) 13
DOI https://doi.org/10.1051/parasite/2019079
Published online 14 January 2020

© M. Riou et al., published by EDP Sciences, 2020

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abbreviations

ABC: ATP-binding cassette

ATP: Adenosine TriPhosphate

DPH: 1,6-DiPhenyl-1,3,5-Hexatriene

HcR: Haemonchus contortus Resistant

HcS: Haemonchus contortus Susceptible

I//: Parallel intensity

I⊥: Perpendicular intensity

MβCD: Methyl-beta-CycloDextrin

MDR: MultiDrug Resistance

Pgp: P-glycoprotein

R123: Rhodamine 123

TBZ: ThiaBendaZole

Introduction

Gastrointestinal nematodes include Haemonchus contortus, a highly pathogenic parasite infecting small domestic ruminants [25, 64, 80]. The prophylactic treatment of parasitic gastroenteritis relies mainly on the use of anthelmintics. However, the efficacy of anthelmintics against nematodes is compromised by the emergence of resistant parasites [40, 42, 44, 60]. Resistance to all groups of anthelmintics (benzimidazoles, imidazothiazoles, tetrahydropyrimidines and avermectins) has been observed in many studies [40, 44, 65]. Anthelmintic resistance involves several cellular mechanisms. Both specific anthelmintic resistance, for example mutation of β-tubulin, the target of thiabendazole [5, 41, 42], and non-specific mechanisms have been described. In eukaryotes, the MDR genes and MDR protein activity are responsible for the development of resistance to drugs in tumour cells [1, 37, 43, 72]. The MDR system includes P-glycoprotein membrane “pumps” (Pgps) and multidrug resistance-associated proteins (MRP). These two transmembrane proteins are members of the ATP-binding cassette (ABC) superfamily of transporters, playing key roles in the transport of xenobiotics [1, 36, 71].

Eukaryote cells are protected against chemical attack by their plasma membranes [73]. Many drugs and other xenobiotic molecules are lipophilic and enter the cell membranes primarily by passive diffusion (“passive influx”), which depends on solubilisation in lipids [50]. Then, xenobiotics that accumulate in the membranes are supported by membrane transporters [1, 83]. The transport of xenobiotics thus depends on both the hydrophobicity of cell membranes and on the activity of membrane pumps [10, 11, 59]. These pumps have been implicated in cellular detoxification processes in various eukaryotic systems [3]. They are modulated by the membrane environment [9, 50, 56, 58]. Among these pumps, the overexpression of Pgp confers resistance to xenobiotics in many biological systems, mainly in tumour cells resistant to chemotherapy but also in nematodes resistant to anthelmintics [2, 18, 28].

Transmembrane transport of drugs is modulated by the biochemical composition of the membrane. Qualitative or quantitative changes in membrane lipids modify the properties of cell membranes [58]. Lipids, including cholesterol and phospholipids, play an important role in the passive diffusion of xenobiotics and Pgp activity [17, 68]. Changes in membrane properties directly affect the accessibility of xenobiotic molecules to Pgp. Moreover, cholesterol interacts with phospholipids and proteins, stabilising their movement in the membrane [73] and affecting the activity of many membrane proteins, including receptors, channels, and Pgp [6, 38, 76]. Membrane properties are altered by movements of molecules that determine fluidity, and this depends largely on cholesterol concentration in vertebrate cells [39, 74]. Riou et al. and Rothnie et al. reported significant modulations of Pgp activity, respectively, in tumour cells and nematode isolates after an experimental decrease in cholesterol content [66, 70]. Riou et al. showed that the increase in resistance to anthelmintics observed during egg embryonation resulted from changes in Pgp activity in response to alterations in the membrane environment [67]. However, the biochemical/biophysical mechanisms underlying these effects remain unclear [66, 67]. Hypotheses for a role of membrane fluidity to explain these observations have been suggested [13, 21, 39].

In contrast to other eukaryotes, nematodes make use of structures other than plasma membranes, eggshells for eggs, and cuticles for later stages, which provide an additional external protective layer [35, 50]. Eggshells and cuticles are highly complex structures. Eggshells are thirty times thicker than cell membranes and have a different biochemical composition. They comprise three layers: an external vitelline layer, a medial chitinous layer, and a basal lipid/protein layer [35]. Membrane proteins have been identified in these barriers. They include active Pgp-like pumps, which are involved in the transport and elimination of lipophilic drugs, such as the anthelmintic ivermectin [46, 47].

In this study, we examine the relationship between Pgp number and activity, resistance to anthelmintics, and eggshell cholesterol content and fluidity in Haemonchus contortus nematode eggs showing different degrees of resistance to anthelmintics. The effects on fluidity of changes in the cholesterol content of eggshells were estimated by measurement of fluorescence anisotropy (FA) which is inversely proportional to membrane fluidity [39, 74, 75]. The consequences of these changes on Pgp activity were assessed by specific mAb staining, measurements of rhodamine 123 (R123) transport, and resistance to anthelmintics (thiabendazole). Four H. contortus (Hc) isolates were studied: two susceptible (HcS) and two resistant (HcR) isolates.

Materials and methods

Ethics

All experiments were conducted in accordance with EU guidelines and French regulations (Directive 2010/63/EU, 2010; Rural Code, 2018; Decree No. 2013-118, 2013). All experimental procedures were evaluated and approved by the Ministry of Higher Education and Research (APAFIS#00219.02 Notification-1). Procedures involving sheep were evaluated by the ethics committee of the Val de Loire (CEEA VdL, committee number 19) and took place at the INRAE Experimental Infection Platform PFIE (UE-1277 PFIE, INRAE Centre de Recherche Val de Loire, Nouzilly, France, https://doi.org/10.15454/1.5535888072272498e12).

Parasites and animals

Four H. contortus (Hc) isolates were studied: two susceptible (HcS) isolates (HcS-WB for “Weybridge”, UK and HcS-Ca for “Canada”) and two resistant (HcR) isolates (HcR-G for “Guadeloupe” resistant to benzimidazoles and ivermectin and tolerant to moxidectin and HcR-WR for “White River”, South Africa, (resistant to benzimidazoles and ivermectin). Eggs (Fig. 1) were isolated from faeces. Three-month-old male “Ile de France-Charolais” lambs fed with hay and cereals were infected with 6000 H. contortus infective larvae (L3) from each isolate. The experiments comply with the current French laws on animal experimentation.

thumbnail Figure 1

Biological model: Haemonchus contortus egg and eggshell.

Cholesterol depletion

Methyl-beta-CycloDextrin (MβCD, Sigma-Aldrich, Saint-Quentin, France) was used to deplete cholesterol from eggs. In solution, the MβCD cavity is occupied by water molecules. This creates a state of unfavourable energy due to polar–apolar interactions. Water molecules are therefore easily replaced by less polar molecules, such as membrane cholesterol, toward which MβCD has strong affinity. In addition, the cholesterol dissolved in priority in the hydrophobic cavity of the MβCD [15, 51]. Eggs were incubated four times for 1 h each with shaking process, in 2.25 mM MβCD dissolved in deionised water [66]. The eggs were washed with deionised water between incubations.

Egg viability after MβCD treatment was checked using egg hatch assays. After the last washing, 2500 eggs were incubated with 150 μL of deionised water for 48 h at 22 °C.

Cholesterol and phospholipid concentrations in eggs were estimated before and after MβCD treatment [66]. Total lipids were extracted from 200,000 eggs ground in chloroform/methanol solution (v/v; VWR International, Pessac, France). Total cholesterol concentration was determined by the cholesterol oxidase method, RTU Kit, BioMérieux, Marcy-l’Étoile, France.

The total phospholipid concentration was determined by the phospholipid hydrolase method (PAP150 Kit, BioMérieux, Marcy-l’Etoile, France). The intensity of pink colouration, after enzymatic transformation of phospholipids in quinoneimine, was measured by absorbance at 505 nm. The phospholipid concentration (ng/egg) was deduced from a calibration curve using a reference phospholipid solution.

Estimation of membrane fluidity

Membrane fluidity was estimated by fluorescence anisotropy (FA) measurements after labelling eggs with the fluorescent lipophilic probe 1,6-diphenyl-1,3,5-hexatriene (DPH, Sigma-Aldrich, Saint-Quentin, France). This probe was readily incorporated into the membrane bilayers. FA is inversely proportional to membrane fluidity. FA values close to 0.362 and more correspond to a highly organised medium and thus to very low fluidity, while FA values close to 0.100 correspond to a very fluid lipid organization, and thus to high membrane fluidity.

Optimal contact time and DPH concentration for analysing egg membrane fluidity were determined in preliminary experiments using the HcR-G isolate. DPH concentrations from 1 × 10−7 M to 1 × 10−4 M diluted in PBS were prepared from a DPH 2 × 10−3 M stock solution in tetrahydrofuran (THF; final, Sigma-Aldrich, Saint-Quentin, France). A bell-shared curve was obtained for anisotropy plotted against DPH concentration, with a maximum at 1 × 10−6 M. To measure the anisotropy into eggshell, the optimal fluorescent DPH concentration at 1 × 106 M was chosen for this study and as described in other cellular models. This concentration, used in other cellular models, was chosen in subsequent experiments. Four contact times (15, 30, 45, and 60 min) were compared for two DPH concentrations (1 × 10−6 M and 1 × 10−4 M). For 15 and 30 min contact times, anisotropy was unchanged, but lower anisotropy values were obtained for 45 and 60 min contact times.

We incubated 30,000 eggs in 3 mL of a fresh dilution of DPH in PBS before and after MβCD treatment. In these conditions, the probe was found primarily in the egg membrane as it did not have enough time to diffuse more widely. A temperature of 20 °C was used as this is the optimum temperature for parasite development in vitro. Additionally, this was the temperature used for the various treatments previously shown to affect parasite resistance.

The fluorescence anisotropy regression coefficient (r) was calculated from fluorescence intensity measurements with a dual channel PTI Quanta Master Spectrofluorimeter (PTI, Monmouth Junction, NJ, USA), through crossed polarizing filters. Felix software® provided a macro-command for the calculation of anisotropy. The anisotropy coefficient r was calculated as follows:r=(I//-gI)/(I//+2gI)$$ r=(I//-{gI}\perp )/(I//+2{gI}\perp ) $$where parallel (I//) and perpendicular (I⊥) intensity were the respective emission fluorescence intensities through parallel and perpendicular filters to a vertical polarised excitation beam (λexcitation = 365 nm and λemission = 430 nm). The g factor is a correction factor calculated before each batch of measurements (Fig. 2). With the number of eggs used in each test, no significant light scattering occurred due to autofluorescence of eggs in PBS solution [21, 39, 74, 75].

thumbnail Figure 2

Physical principle of anisotropy measures (membrane fluidity) after incorporation of the 1,6-diphenyl-1,3,5-hexatriene (DPH) probe with a dual channel PTI Quanta Master Spectrofluorimeter (PTI, Monmouth Junction, NJ, USA). I//: parallel intensity; I⊥: perpendicular intensity.

Pgp activity assays

Identification of active Pgp

The presence of Pgp in active conformation was determined by UIC2 mAb staining (Immunotech, Marseille, France), estimated by flow cytometry using a MoFLo™ cell sorter (Beckman Coulter, Fort Collins, CO 80825, USA) before and after 2.25 mM MβCD treatment. The UIC2 mAbs recognise an epitope associated with a specific active Pgp conformation induced by drugs. Briefly, eggs were pre-treated with PBS plus BSA (2 mg/mL) and decanted for 10 min. They were further washed in 1 mL PBS. The eggs were stained for 90 min at room temperature by adding 35 μL of pure UIC2 mAb coupled with phycoerythrin (UIC2-PE). They were washed twice with 3 mL PBS and suspended in 1 mL PBS. The intensity of orange fluorescence was immediately measured by flow cytometry with a 580/30 nm band pass filter. Control eggs were similarly treated with isotypic IgG2a mAbs coupled with PE (IgG2a-PE, U7.27 clone, Immunotech, Marseille, France). The fluorescence means were expressed in arbitrary units (au) for the four isolates. The positive egg populations were obtained by histogram subtractions [29, 30, 32, 34].

Transport activity

Xenobiotic transport was determined by rhodamine 123 accumulation (R123 Sigma-Aldrich, Saint-Quentin, France), a fluorescent substrate specific for Pgp pumps, before and after MβCD treatment. R123 absorptive transport occurs primarily by the paracellular route, whereas R123 secretory transport involves influx across membrane mediated solely by a saturable process followed by apically directed efflux via Pgp (fixation on the R site). R123 is therefore a good model for characterising the transport of drugs such as anthelmintics (such as thiabendazole, levamisole, and ML) by Pgp.

In all, 30,000 eggs were incubated with 1 mL of R123 (0.5 μg/mL) at room temperature for 30 min and then washed with deionised water. The intensity of green fluorescence was immediately measured by flow cytometry on a MoFLo™ cell sorter (Beckman Coulter, Fort Collins, CO 80825, USA), with a 530/40 nm band pass filter. The results were expressed in arbitrary units (AU) calculated as the difference between the fluorescence of eggs without R123 and the fluorescence of eggs stained with R123, thus eliminating any native green fluorescence, which differed between isolates [12, 30, 31, 66, 69].

Resistance to thiabendazole by egg hatch assays after MßCD treatment

A total of 2500 eggs/sample were treated, as described previously. The eggs were incubated for 48 h at 22 °C with concentrations of thiabendazole ranging from 0.02 to 0.08 μg/mL for the susceptible isolates, and from 0.24 to 1.26 μg/mL for the resistant ones [4, 7, 29]. Hatching rates were compared to those of control eggs treated with deionised water or thiabendazole only.

Statistical analyses

Three replicates were performed for each treatment and for each factor studied. Statistical analyses were performed using GraphPad Prism software, version 5.0 (GraphPad, San Diego, CA, USA). A two-way ANOVA analysis was performed to show the effects of the treatments on the measured parameters, taking into account the parasitic isolate effect. In parallel, non-parametric statistical tests (Mann–Whitney U tests) were carried out, followed by Bonferroni tests. Principal component analysis (PCA) and linear regressions were performed using XLstat software, version 7.5.2. (Addinsoft, Paris, France).

Results

MβCD treatment altered cholesterol content of eggs

MβCD treatment had no toxic effects on parasite development for all isolates (Table 1).

Table 1

Hatching rates of eggs in water (control) or after MβCD treatment (2.25 mM). The MβCD treatment had no toxic effect. Percent hatching rates (means of three egg hatch assays) of treated eggs weighted according to the percent hatching rate in control samples.

Before treatment with MβCD, cholesterol content was significantly higher in the two susceptible isolates than in the two resistant isolates (Fig. 3A, p < 0.05). MβCD treatment significantly decreased the cholesterol concentration of eggs for the HcS-WB, HcS-Ca, and HcR-WR isolates (p < 0.05), but the effect was not significant for the HcR-G isolate (means of lipid concentration ± SD for three measurements). After the MβCD treatment, total phospholipid content was not modified significantly for the HcS-WB, HcS-Ca, and HcR-G isolates, except for the HcR-WR (Fig. 3B, p < 0.05). The phospholipid concentrations before treatment were similar between the four isolates.

thumbnail Figure 3

(A) Measurement of cholesterol content in nematode eggs before and after MβCD (2.25 mM) treatment. The cholesterol content of the two susceptible isolates was higher than that of the two resistant isolates (p < 0.05). Treatment of eggs significantly decreased the cholesterol concentration in eggs, except for the HcR-G isolate (p < 0.05). (B) Measurement of phospholipid content in nematode eggs before and after MβCD (2.25 mM) treatment. The phospholipid content was not modified by the MβCD treatment. (C) Measurement of anisotropy after alterations in eggshells. MβCD treatment decreased the anisotropy significantly in HcS-WB, HcS-Ca, and HcR-WR isolates (p < 0.05). Means of lipid concentrations (M ± SD for three measurements). *Significant effect (p < 0.05). Symbols: (grey rectangles) control eggs and (black rectangles) MβCD treatment. HcS-WB: Haemonchus contortus susceptible Weybridge, HcS-Ca: Haemonchus contortus susceptible Canada, HcR-WR: Haemonchus contortus resistant White River, and HcR-G: Haemonchus contortus resistant Guadeloupe.

Egg anisotropy depended on changes in the lipid content

Before treatment with MβCD, egg anisotropy was significantly higher in the susceptible HcS-WB isolate than in the other three isolates (p < 0.05). MβCD treatment significantly decreased fluorescence anisotropy (FA) of eggs for the HcS-WB, HcS-Ca, and HcR-WR isolates (p < 0.05), but the effect was not significant for the HcR-G isolate (Fig. 3C).

Pgp activity

The number of “active” Pgps after cholesterol depletion

Untreated susceptible nematode isolates were significantly less stained by UIC2 staining than untreated resistant isolates (Fig. 4A, p < 0.05). MβCD treatment increased UIC2 staining significantly for the HcS-WB, HcS-Ca, and HcR-WR isolates (Fig. 4A, p < 0.05).

thumbnail Figure 4

Quantification and measurement of Pgp activity in nematodes after MβCD (2.25 mM) treatment. (A) Determination of active Pgp in nematode eggs before and after MβCD (2.25 mM) treatment by UIC2 mAb staining. MβCD treatment increased the UIC2 staining significantly for the HcS-WB, HcS-Ca, and HcR-WR isolates after MβCD (2.25 mM) treatment. Mean fluorescence intensity (M ± SD for three measurements). *Significant effect (p < 0.05). (B) Untreated susceptible nematode isolates accumulated significantly less R123 than untreated resistant isolates (p < 0.05). Significant difference of R123 accumulation between susceptible and resistant isolates (p < 0.05). MβCD treatment decreased R123 accumulation, significantly for the HcS-Ca and HcR-G isolates (p < 0.05). Mean fluorescence intensity (M ± SD for three measurements) was estimated from the difference between the native green fluorescence of eggs and that of eggs stained with R123. *Significant effect (p < 0.05). Symbols: (grey rectangles) control eggs and (black rectangles) MβCD treatment. HcS-WB: Haemonchus contortus susceptible Weybridge, HcS-Ca: Haemonchus contortus susceptible Canada, HcR-WR: Haemonchus contortus resistant White River, and HcR-G: Haemonchus contortus resistant Guadeloupe.

Pgp activity (efflux) after cholesterol depletion

Untreated susceptible nematode isolates accumulated significantly less R123 than the untreated resistant isolates (Fig. 4B, p < 0.05). The MβCD treatment only significantly decreased R123 accumulation in the HsC-Can and HcR-G isolates (Fig. 4B, p < 0.05).

Resistance to thiabendazole increased after cholesterol depletion

MβCD treatment increased the 50% lethal dose (LD50) of thiabendazole (TBZ) (Fig. 5) for the four isolates, but the effect was significant only for the two resistant isolates (HcR-WR and HcR-G, p < 0.05; Fig. 5).

thumbnail Figure 5

Effect of methyl-β-cyclodextrin (MβCD, 2.25 mM) on resistance to thiabendazole (lethal dose 50% or LD50), for each isolate. MβCD treatment increased the LD50 of thiabendazole (TBZ) but the effect was significant only for the two resistant isolates (p < 0.05). The values reported are means ± SD of three replicates. *Significant effect (p < 0.05). Symbols: (grey rectangles) control eggs and (black rectangles) MβCD treatment. HcS-WB: Haemonchus contortus susceptible Weybridge, HcS-Ca: Haemonchus contortus susceptible Canada, HcR-WR: Haemonchus contortus resistant White River, and HcR-G: Haemonchus contortus resistant Guadeloupe.

Multi-parametric analyses of Pgp activity

Principal component analysis (PCA) enabled us to establish a relationship between the different parameters. The Bartlett sphericity test rejects the null hypothesis of the absence of correlation between the variables (p < 0.0001).

Correlation analyses (Pearson test, Table 2) identified the following relationships:

  • UIC2 staining, R123 accumulation and TBZ resistance are significantly correlated to cholesterol content of eggs (p respectively <0.04, <0.03 or <0.004);

  • the number of active Pgps was significantly correlated with R123 accumulation (p < 0.005) and TBZ resistance (p < 0.008);

  • R123 accumulation was significantly correlated with TBZ resistance (p < 0.007);

  • no correlation was found between anisotropy and the four other parameters.

Table 2

Matrix of correlation of five parameters (cholesterol content, anisotropy, R123 accumulation, UIC2 staining, and resistance to thiabendazole [TBZ]) obtained by principal component analysis for each isolate.

Figure 6A shows the distribution of isolates and the relationships between parameters that were explained at 94% by two axes (F1 and F2). The F1 axis is mainly linked to the cholesterol content, the number of active Pgps, R123 transport, and TBZ resistance. Cholesterol content varied in a way opposite to the other three parameters. The anisotropy was linked to the F2 axis. The F1 axis thus allowed us to distinguish two groups, resistant isolates and susceptible isolates, while the F2 axis separated the control group from the group treated with MβCD. The cholesterol content, the number of active Pgps, and R123 accumulation were highly discriminant variables for each isolate (Fig. 6B).

thumbnail Figure 6

Multiparametric analyses of Pgp activity and the lipid environment in Haemonchus contortus nematode eggs before and after MβCD (2.25 mM) treatment. HcS-WB: Haemonchus contortus susceptible Weybridge, HcS-WB-U: Haemonchus contortus susceptible Weybridge Untreated, HcS-Ca: Haemonchus contortus susceptible Canada, HcS-Ca-U: Haemonchus contortus susceptible Canada Untreated, HcR-WR: Haemonchus contortus resistant White River, HcR-WR-U: Haemonchus contortus resistant White River Untreated, HcR-G: Haemonchus contortus resistant Guadeloupe, and HcR-G-U: Haemonchus contortus resistant Guadeloupe Untreated.

Several significant linear regressions were established (Table 3) between cholesterol and either Pgp activity (UIC2 or R123 accumulation) or TBZ resistance, and between Pgp activity (UIC2 or R123 accumulation) and TBZ resistance.

Table 3

Relationships between cholesterol content and number of Pgps in the active conformation (UIC2 antibodies), Rhodamine 123 (R123) transport, and resistance to thiabendazole (TBZ) in Haemonchus contortus eggs independently of MβCD treatment.

Discussion

We previously suggested that a reduction in cholesterol concentrations may lead to changes in the organisation of membrane lipids and possibly affect the diffusion of lipophilic molecules such as R123 or anthelmintics in eggshells. Consistent with this hypothesis and with the usual observations made on plasma membranes, we observed in the present study an increase in eggshell fluidity after cholesterol depletion by MβCD in both susceptible and resistant nematodes. Therefore, cholesterol depletion seems to modify the organisation of lipid eggshells. Cholesterol depletion induces an increase in the fluidity of the eggshell of nematode, like in other conventional membrane systems [15, 26, 82].

In the present work, and for the first time, we showed that resistance of nematodes to anthelmintics increased following cholesterol depletion, which could be attributed to fluidification of the eggshell and an increase in Pgp activity. We investigated here cellular and molecular interactions between (1) cholesterol concentrations in eggshells, (2) membrane fluidity, (3) active Pgp estimated by staining with UIC2 mAbs, (4) efflux transport by measuring the accumulation of a specific Pgp fluorescent substrate (R123), and (5) resistance to anthelmintics with thiabendazole. A very strong relationship between the five parameters studied shows a very clear differentiation between susceptible isolates and resistant isolates. Therefore, the resistance state can be defined by the following parameters: cholesterol (biological membranes)/UIC2 (active Pgp)/R123 (Pgp activity). This relationship between these parameters has been observed in other nematode species (Caenorhabditis elegans and Cylicocyclus elongatus) and other pathogens such as bacteria and fungi [6, 28, 45, 48, 49, 66]. This study was the first to measure membrane fluidity in nematodes and to establish relationships with cholesterol content, and confirmed the results obtained in other eukaryote models [20, 39, 54, 81].

We recently found that modulation of Pgp activity in nematodes can be obtained by approaches very similar to those used for other eukaryote models [32, 33, 66]. Studies on vertebrate cells showed new means for the modulation of Pgp activity after modifications of cholesterol concentrations that alter the membrane environment. The experimental change in cholesterol content was obtained using a cholesterol acceptor, methyl-β-cyclodextrin. β-cyclodextrins have high affinity for lipids [15]. Moreover, the methyl form (MβCD) preferentially extracts cholesterol from membrane cells [15, 80, 81]. We confirmed that cholesterol depletion by MβCD treatment (2.25 mM MβCD concentration four times over 60 min) did not alter the viability of H. contortus eggs. However, it altered their cholesterol content, the first parameter, as previously described [66]. The depletion was enough to change the total cholesterol content of eggs without any toxic effect on egg embryonation. This effect was similar to that obtained with a higher concentration, i.e. 75 mM for a shorter contact time, i.e. 10 min [66].

The second parameter modified after MβCD treatment is membrane fluidity, estimated by anisotropy. Changes in the biophysical properties of eggshells were evaluated as described for other models, by measuring steady-state anisotropy with a fluorescent probe, 1,6-diphenyl-1,3,5-hexatriene (DPH) incorporated into the eggshells. In vertebrate cells, DPH incorporates into the hydrocarbon core of membrane bilayers [74, 75]. Despite the complexity of the H. contortus model, the values obtained for eggshell anisotropy and their variations with cholesterol concentrations were similar to those observed in vertebrate cells. In H. contortus, we showed that the embryonation of eggs increases membrane fluidity [67]. The increase in eggshell fluidity observed during parasite development reflects changes in the organisation of lipids in the membranes, and affects the subcellular distribution of anthelmintics and their access to Pgp, thereby increasing resistance. In untreated eggs and in the total absence of embryonation, fluidity is significantly lower in the eggshells of susceptible isolates than in those of resistant isolates. In untreated and embryonated eggs, isolates did not differ significantly in eggshell fluidity or cholesterol content, as previously shown. The effect of depletion was thus less marked than that of embryonation [67]. The advantage was better controlled testing conditions. The lipid content of eggs during embryonation varied and depended on the isolate. Variations in membrane fluidity thus depend on a native difference in the eggshells (lipid composition), on the efficacy of MβCD treatment, and on egg embryonation. In this work, our four parasite isolates responded significantly to MβCD treatment on lipid measured parameters, except for the HcR-G isolate. Our hypothesis is that the sterol lipid composition of the HcR-G eggshell is different from the other three isolates and MβCD did not have the same affinity for the sterols present in the HcR-G eggshell.

Alongside changes in the eggshell after MβCD treatment, it is important to analyse the impact of treatment on the last three parameters: (i) active Pgp, (ii) the activity of transport by Pgp, and (iii) the relationship between the efflux pump and TBZ resistance [73, 74]. An increase in membrane fluidity induced by MβCD changed structural conformation of Pgps. Configuration of the membrane Pgp changes from active to very active conformation according to ATP level in the cell and alteration of lipid membranes [1, 16, 6163]. For this last point, we showed that cholesterol depletion activates efflux pumps (Pgps).Moreover, the concentrations of membrane cholesterol goes through an optimal for the active form of Pgps [55, 68]. When Pgps are most active (optimal efflux), this activation is directly related to an increase in the transport activity of the antiparasitic, but also to an increased affinity for specific substrates such as R123 or thiabendazole. Changes in the cholesterol content of other cellular systems have been shown to affect: (a) their affinity for the substrate of transmembrane proteins such as hormonal receptors [38] or (b) the transduction of the intracellular signals [19, 43]. In our experimental conditions, it seems that the mechanism is more likely due to a modulation of transport. We hypothesize that TBZ, a hydrophobic compound, diffused passively through lipid-rich membranes. To mimic the passive diffusion and efflux exchange of TBZ, Rhodamine R123 seems to be the right candidate. It possesses similar physicochemical properties (lipophilic molecule) compared to anthelmintics and has a Pgp binding site on the R site [12, 18]. The flow cytometric assays on the fluorescence of nematode eggs resulting from the contact with R123 allowed us to observe this mechanism more directly. Nevertheless, only a small amount of R123 is taken up passively and this process is very slow. Therefore, the fluorescence of eggs after contact with R123 was mainly representative of the activity of Pgp [31, 66]. The intensity of green fluorescence decreased significantly after MβCD for the four isolates. As a result, a decrease in fluorescence after MβCD treatment might be attributed to stimulated Pgp activity resulting from a decrease in cholesterol content. R123 native transport increased with resistance in H. contortus isolates. Differences between susceptible and resistant isolates have mostly been attributed to the presence of higher amounts of Pgp in the resistant isolates, leading to the binding of larger numbers of R123 molecules than in susceptible isolates, such described in Kerboeuf et al. [34]. A final point that could impact the function and the regulation of Pgp in nematodes is the presence of different Pgp isoforms. In H. contortus, several Pgp isoform genes were identified such as Hco-pgp-3, Hco-pgp-9.2, Hco-pgp-11, and Hco-pgp-16, specifically up-regulated in parasitic life stages, suggesting potential involvement of these Pgps in the efflux of eosinophil granule products [27]. Some Pgp isoforms were involved in anthelmintic resistance mechanisms such as MDR1 or Pgp-1 [2224], like in other pathogens or cellular lines [28, 52], and other Pgps such as Pgp-3 (MDR3) implicated in lipid transport [10, 11, 77, 78]. In our study, the different isolates may possess different pump isoforms (amount of protein and gene expression) with different susceptibilities towards depletion. The relationship between Pgp isoforms and membrane lipids could thus modulate Pgp activity, particularly those associated with resistance to anthelmintics, as demonstrated by Riou et al. to resistance of thiabendazole [68].

It can therefore be suggested that the solubilisation of lipophilic molecules is, as a consequence, altered and that cholesterol depletion may favour an increase in Pgp activity, accompanied by a decreased in R123 accumulation in eggs. It is difficult to determine the relative contributions of changes in the solubilisation of lipophilic molecules (R123 or anthelmintics) and transport by cellular pumps (Pgp). The mechanisms described here for the modulation of R123 transport by cholesterol, if applied to the transport of anthelmintics in nematodes may account, at least in part, for the observed changes in resistance to anthelmintics. Anthelmintics must be solubilised in membrane lipids, in which they accumulate, before they can penetrate eggs. Anthelmintics are also Pgp substrates and are eliminated by these pumps. The mechanisms of xenobiotic transport by Pgp are not fully understood, but changes in the membrane environment may be involved in regulating anthelmintic transport. The roles of the various components of lipophilic molecule transport systems (passive diffusion, active influx, and active efflux) need to be investigated further, as well as the role and production of lipids in nematodes. This knowledge may therefore make it possible to identify new targets for anthelmintics, like other targets described in recent research in order to counter multiple resistance [8, 14, 46, 53, 57, 79].

Conclusion

Surprisingly, eggshells have certain biophysical properties common with the plasma membrane of vertebrate cells, but a more complex structure and biochemical composition. Eggshells appear to be more than a simple physical barrier and resemble membranes in having active biological properties. The membrane lipid composition of eggshells seems to have a significant effect on the regulation of anthelmintic transport in nematodes.

Fluidity is a complex parameter depending on many factors, including lipid composition (sterols, phospholipids, unsaturated fatty acids, etc.), and the presence of membrane proteins such as Pgp. A reduction in cholesterol content in the eggshell increased the number of active Pgps and altered TBZ solubilisation into the eggshell, and thus changed resistance to anthelmintics. The nematode egg was therefore considered a very good model for studying resistance to anthelmintics.

Acknowledgments

We would like to thank the “Région Centre-Val de Loire” for funding this research. We also thank Dr. Yan Van Wyk, Dr. Gilles Aumont and Professor Roger Prichard for kindly providing the H. contortus isolates, as well as the research staff and the management of the PFIE, in particular Thierry Chaumeil and Maud Renouard for the careful maintenance of animals and Marie-Estelle Esnault and her team for their precious help with the bibliography. PFIE is part of EMERG’IN, the national infrastructure for the control of animal and zoonotic emerging infectious diseases through in vivo investigation. We are also grateful to Mrs. Marie Fassot-Garnier for her participation in the experiments. Many thanks to Professor Claude Motta (Faculté de Médecine de Rennes), for advice on this work.

Conflict of interest

The authors declare that they have no conflicts of interest in relation to this article.

References

  1. Abu-Qare AW, Elmasry E, Abou-Donia MB. 2003. A role for P-glycoprotein in environmental toxicology. Journal of Toxicology and Environmental Health, Part B Critical Reviews, 6(3), 279–288. [CrossRef] [Google Scholar]
  2. Ambudkar SV, Dey S, Hrycyna CA, Ramachandra M, Pastan I, Gottesman MM. 1999. Biochemical, cellular, and pharmacological aspects of the multidrug transporter. Annual Review of Pharmacology and Toxicology, 39, 361–398. [CrossRef] [PubMed] [Google Scholar]
  3. Barrett J. 1997. Helminth detoxification mechanisms. Journal of Helminthology, 71(2), 85–89. [CrossRef] [PubMed] [Google Scholar]
  4. Beaumont-Schwartz C, Kerboeuf D, Hubert J. 1987. Méthodes de mise en évidence de souche de strongles gastro-intestinaux resistantes aux anthelminthiques. Recueil de Médecine Vétérinaire, 163, 683–688. [Google Scholar]
  5. Beech RN, Prichard RK, Scott ME. 1994. Genetic variability of the beta-tubulin genes in benzimidazole- susceptible and -resistant strains of Haemonchus contortus. Genetics, 138(1), 103–110. [PubMed] [Google Scholar]
  6. Bessa LJ, Ferreira M, Gameiro P. 2018. Evaluation of membrane fluidity of multidrug-resistant isolates of Escherichia coli and Staphylococcus aureus in presence and absence of antibiotics. Journal of Photochemistry and Photobiology B, 181, 150–156. [CrossRef] [Google Scholar]
  7. Beugnet F, Gauthey M, Kerboeuf D. 1997. Partial in vitro reversal of benzimidazole resistance by the free- living stages of Haemonchus contortus with verapamil. Veterinary Research, 141(22), 575–576. [Google Scholar]
  8. Blanchard A, Guegnard F, Charvet CL, Crisford A, Courtot E, Sauve C, Harmache A, Duguet T, O’Connor V, Castagnone-Sereno P, Reaves B, Wolstenholme AJ, Beech RN, Holden-Dye L, Neveu C. 2018. Deciphering the molecular determinants of cholinergic anthelmintic sensitivity in nematodes: when novel functional validation approaches highlight major differences between the model Caenorhabditis elegans and parasitic species. PLoS Pathogens, 14(5), e1006996. [CrossRef] [PubMed] [Google Scholar]
  9. Blesbois E, Grasseau I, Hermier D. 1999. Changes in lipid content of fowl spermatozoa after liquid storage at 2 to 5 degrees C. Theriogenology, 52(2), 325–334. [CrossRef] [PubMed] [Google Scholar]
  10. Borst P, Schinkel AH, Smit JJ, Wagenaar E, Van Deemter L, Smith AJ, Eijdems EW, Baas Zaman GJ. 1993. Classical and novel forms of multidrug resistance and the physiological functions of P-glycoproteins in mammals. Pharmacology and Therapeutics, 60(2), 289–299. [CrossRef] [Google Scholar]
  11. Borst P, Zelcer N, van Helvoort A. 2000. ABC transporters in lipid transport. Biochimical and Biophysical Acta, 1486(1), 128–144. [CrossRef] [Google Scholar]
  12. Canitrot Y, Lautier D. 1995. Use of rhodamine 123 for the detection of multidrug resistance. Bulletin du Cancer, 82(9), 687–697. [PubMed] [Google Scholar]
  13. Castaing M, Loiseau A, Djoudi L. 2003. Effects of cholesterol on dye leakage induced by multidrug-resistance modulators from anionic liposomes. European Journal of Pharmacological Sciences, 18(1), 81–88. [CrossRef] [Google Scholar]
  14. Charvet CL, Guegnard F, Courtot E, Cortet J, Neveu C. 2018. Nicotine-sensitive acetylcholine receptors are relevant pharmacological targets for the control of multidrug resistant parasitic nematodes. International Journal of Parasitology – Drugs and Drug Resistance, 8(3), 540–549. [CrossRef] [Google Scholar]
  15. Christian AE, Haynes MP, Phillips MC, Rothblat GH. 1997. Use of cyclodextrins for manipulating cellular cholesterol content. Journal of Lipid Researchs, 38(11), 2264–2272. [Google Scholar]
  16. Dey S, Ramachandra M, Pastan I, Gottesman MM, Ambudkar SV. 1998. Photoaffinity labeling of human P-glycoprotein: effect of modulator interaction and ATP hydrolysis on substrate binding. Methods of Enzymology, 292, 318–328. [Google Scholar]
  17. Eytan GD, Regev R, Oren G, Assaraf YG. 1996. The role of passive transbilayer drug movement in multidrug resistance and its modulation. Journal of Biological Chemistry, 271(22), 12897–12902. [CrossRef] [Google Scholar]
  18. Feller N, Kuiper CM, Lankelma J, Ruhdal JK, Scheper RJ, Pinedo HM, Broxterman HJ. 1995. Functional detection of MDR1/P170 and MRP/P190-mediated multidrug resistance in tumour cells by flow cytometry. British Journal of Cancer, 72(3), 543–549. [CrossRef] [PubMed] [Google Scholar]
  19. Garnier-Suillerot A, Marbeuf-Gueye C, Salerno M, Loetchutinat C, Fokt I, Krawczyk M, Kowalczyk T, Priebe W. 2001. Analysis of drug transport kinetics in multidrug-resistant cells: implications for drug action. Current Medicinal Chemistry, 8(1), 51–64. [CrossRef] [PubMed] [Google Scholar]
  20. Gimpl G, Burger K, Fahrenholz F. 1997. Cholesterol as modulator of receptor function. Biochemistry, 36(36), 10959–10974. [CrossRef] [PubMed] [Google Scholar]
  21. Giraud MN, Motta C, Boucher D, Grizard G. 2000. Membrane fluidity predicts the outcome of cryopreservation of human spermatozoa. Human Reproduction, 15(10), 2160–2164. [CrossRef] [Google Scholar]
  22. Godoy P, Che H, Beech RN, Prichard RK. 2015. Characterization of Haemonchus contortus P-glycoprotein-16 and its interaction with the macrocyclic lactone anthelmintics. Molecular and Biochemical Parasitology, 204(1), 11–15. [CrossRef] [PubMed] [Google Scholar]
  23. Godoy P, Lian J, Beech RN, Prichard RK. 2015. Haemonchus contortus P-glycoprotein-2: in situ localisation and characterisation of macrocyclic lactone transport. International Journal for Parasitology, 45(1), 85–93. [CrossRef] [PubMed] [Google Scholar]
  24. Godoy P, Che H, Beech RN, Prichard RK. 2016. Characterisation of P-glycoprotein-9.1 in Haemonchus contortus. Parasites and Vectors, 9, 52. [CrossRef] [Google Scholar]
  25. Hoste H, Torres-Acosta JF, Quijada J, Chan-Perez I, Dakheel MM, Kommuru DS, Mueller-Harvey I, Terrill TH. 2016. Interactions between nutrition and infections with Haemonchus contortus and related gastrointestinal nematodes in small ruminants. Advances in Parasitology, 93, 239–351. [CrossRef] [PubMed] [Google Scholar]
  26. Ilangumaran S, Hoessli DC. 1998. Effects of cholesterol depletion by cyclodextrin on the sphingolipid microdomains of the plasma membrane. Biochemical Journal, 335(Pt 2), 433–440. [CrossRef] [Google Scholar]
  27. Issouf M, Guegnard F, Koch C, Le Vern Y, Blanchard-Letort A, Che H, Beech RN, Kerboeuf D, Neveu C. 2014. Haemonchus contortus P-glycoproteins interact with host eosinophil granules: a novel insight into the role of ABC transporters in host-parasite interaction. PLoS One, 9(2), e87802. [CrossRef] [PubMed] [Google Scholar]
  28. Kaschny M, Demeler J, Janssen IJ, Kuzmina TA, Besognet B, Kanellos T, Kerboeuf D, von Samson-Himmelstjerna G, Krucken J. 2015. Macrocyclic lactones differ in interaction with recombinant P-glycoprotein 9 of the parasitic nematode Cylicocylus elongatus and ketoconazole in a yeast growth assay. PLoS Pathogens, 11(4), e1004781. [CrossRef] [PubMed] [Google Scholar]
  29. Kerboeuf D, Aycardi J. 1999. Unexpected increased thiabendazole tolerance in Haemonchus contortus resistant to anthelmintics by modulation of glutathione activity. Parasitology Research, 85(8–9), 713–718. [CrossRef] [PubMed] [Google Scholar]
  30. Kerboeuf D, Aycardi J, Soubieux D. 1996. Flow-cytometry analysis of sheep-nematode egg populations. Parasitology Research, 82(4), 358–363. [CrossRef] [PubMed] [Google Scholar]
  31. Kerboeuf D, Chambrier P, Le Vern Y, Aycardi J. 1999. Flow cytometry analysis of drug transport mechanisms in Haemonchus contortus susceptible or resistant to anthelmintics. Parasitology Research, 85(2), 118–123. [CrossRef] [PubMed] [Google Scholar]
  32. Kerboeuf D, Guegnard F, Le Vern Y. 2002. Analysis and partial reversal of multidrug resistance to anthelmintics due to P-glycoprotein in Haemonchus contortus eggs using Lens culinaris lectin. Parasitology Research, 88(9), 816–821. [CrossRef] [PubMed] [Google Scholar]
  33. Kerboeuf D, Blackhall W, Kaminsky R, von Samson-Himmelstjerna G. 2003. P-glycoprotein in helminths: function and perspectives for anthelmintic treatment and reversal of resistance. International Journal of Antimicrobial Agents, 22(3), 332–346. [CrossRef] [PubMed] [Google Scholar]
  34. Kerboeuf D, Guegnard F, Vern YL. 2003. Detection of P-glycoprotein-mediated multidrug resistance against anthelmintics in Haemonchus contortus using anti-human mdr1 monoclonal antibodies. Parasitology Research, 91(1), 79–85. [CrossRef] [PubMed] [Google Scholar]
  35. Kerboeuf D, Riou M, Neveu C, Issouf M. 2010. Membrane drug transport in helminths. Anti-Infective Agent in Medicinal Chemistry, 9, 113–129. [CrossRef] [Google Scholar]
  36. Kim RB. 2002. Transporters and xenobiotic disposition. Toxicology, 181–182, 291–297. [CrossRef] [PubMed] [Google Scholar]
  37. Kimura Y, Kioka N, Kato H, Matsuo M, Ueda K. 2007. Modulation of drug-stimulated ATPase activity of human MDR1/P-glycoprotein by cholesterol. Biochemical Journal, 401(2), 597–605. [CrossRef] [Google Scholar]
  38. Klein U, Gimpl G, Fahrenholz F. 1995. Alteration of the myometrial plasma membrane cholesterol content with beta-cyclodextrin modulates the binding affinity of the oxytocin receptor. Biochemistry, 34(42), 13784–13793. [CrossRef] [PubMed] [Google Scholar]
  39. Klein C, Pillot T, Chambaz J, Drouet B. 2003. Determination of plasma membrane fluidity with a fluorescent analogue of sphingomyelin by FRAP measurement using a standard confocal microscope. Brain Research Protocols, 11(1), 46–51. [CrossRef] [Google Scholar]
  40. Kohler P. 2001. The biochemical basis of anthelmintic action and resistance. International Journal of Parasitology, 31(4), 336–345. [CrossRef] [Google Scholar]
  41. Kwa MS, Kooyman FN, Boersema JH, Roos MH. 1993. Effect of selection for benzimidazole resistance in Haemonchus contortus on beta-tubulin isotype 1 and isotype 2 genes. Biochemical and Biophysical Research Communications, 191(2), 413–419. [CrossRef] [PubMed] [Google Scholar]
  42. Kwa MS, Veenstra JG, Roos MH. 1994. Benzimidazole resistance in Haemonchus contortus is correlated with a conserved mutation at amino acid 200 in beta-tubulin isotype 1. Molecular and Biochemical Parasitology, 63(2), 299–303. [CrossRef] [PubMed] [Google Scholar]
  43. Laberge RM, Ambadipudi R, Georges E. 2014. P-glycoprotein mediates the collateral sensitivity of multidrug resistant cells to steroid hormones. Biochemical and Biophysical Research Communications, 447(4), 574–579. [CrossRef] [PubMed] [Google Scholar]
  44. Le Jambre LF, Dobson RJ, Lenane IJ, Barnes EH. 1999. Selection for anthelmintic resistance by macrocyclic lactones in Haemonchus contortus. International Journal of Parasitology, 29(7), 1101–1111. [CrossRef] [Google Scholar]
  45. Lee EY, Jeong PY, Kim SY, Shim YH, Chitwood DJ, Paik YK. 2009. Effects of sterols on the development and aging of Caenorhabditis elegans. Methods in Molecular Biology, 462, 167–179. [Google Scholar]
  46. Lespine A. 2013. Lipid-like properties and pharmacology of the anthelmintic macrocyclic lactones. Expert Opinion on Drug Metabolism and Toxicology, 9(12), 1581–1595. [CrossRef] [Google Scholar]
  47. Lespine A, Menez C, Bourguinat C, Prichard RK. 2012. P-glycoproteins and other multidrug resistance transporters in the pharmacology of anthelmintics: prospects for reversing transport-dependent anthelmintic resistance. International Journal of Parasitology – Drugs and Drug Resistances, 2, 58–75. [CrossRef] [Google Scholar]
  48. Lu P, Liu R, Sharom FJ. 2001. Drug transport by reconstituted P-glycoprotein in proteoliposomes. Effect of substrates and modulators, and dependence on bilayer phase state. European Journal of Biochemistry, 268(6), 1687–1697. [CrossRef] [PubMed] [Google Scholar]
  49. Luker GD, Pica CM, Kumar AS, Covey DF, Piwnica-Worms D. 2000. Effects of cholesterol and enantiomeric cholesterol on P-glycoprotein localization and function in low-density membrane domains. Biochemistry, 39(26), 7651–7661. [CrossRef] [PubMed] [Google Scholar]
  50. Marechal E, Riou M, Kerboeuf D, Beugnet F, Chaminade P, Loiseau PM. 2011. Membrane lipidomics for the discovery of new antiparasitic drug targets. Trends in Parasitology, 27(11), 496–504. [CrossRef] [PubMed] [Google Scholar]
  51. Marques HMC. 2010. A review on cyclodextrin encapsulation of essential oils and volatiles. Flavour and Fragrance Journal., 25(5), 313–326. [Google Scholar]
  52. Menez C, Mselli-Lakhal L, Foucaud-Vignault M, Balaguer P, Alvinerie M, Lespine A. 2012. Ivermectin induces P-glycoprotein expression and function through mRNA stabilization in murine hepatocyte cell line. Biochemical Pharmacology, 83(2), 269–278. [CrossRef] [PubMed] [Google Scholar]
  53. Menez C, Alberich M, Courtot E, Guegnard F, Blanchard A, Aguilaniu H, Lespine A. 2019. The transcription factor NHR-8: a new target to increase ivermectin efficacy in nematodes. PLoS Pathogens, 15(2), e1007598. [CrossRef] [PubMed] [Google Scholar]
  54. Mora MP, Tourne-Peteilh C, Charveron M, Fabre B, Milon A, Muller I. 1999. Optimisation of plant sterols incorporation in human keratinocyte plasma membrane and modulation of membrane fluidity. Chemistry Physics Lipids, 101(2), 255–265. [CrossRef] [Google Scholar]
  55. Mukhopadhyay K, Kohli A, Prasad R. 2002. Drug susceptibilities of yeast cells are affected by membrane lipid composition. Antimicrobial Agents Chemotherapy, 46(12), 3695–3705. [CrossRef] [Google Scholar]
  56. Oldfield E, Chapman D. 1972. Dynamics of lipids in membranes: heterogeneity and the role of cholesterol. FEBS Letters, 23(3), 285–297. [CrossRef] [PubMed] [Google Scholar]
  57. Page AP, Stepek G, Winter AD, Pertab D. 2014. Enzymology of the nematode cuticle: a potential drug target? International Journal of Parasitology – Drugs and Drug Resistances, 4(2), 133–141. [CrossRef] [Google Scholar]
  58. Pallares-Trujillo J, Lopez-Soriano FJ, Argiles JM. 2000. Lipids: a key role in multidrug resistance? (Review). International Journal of Oncology, 16(4), 783–798. [PubMed] [Google Scholar]
  59. Peelman F, Labeur C, Vanloo B, Roosbeek S, Devaud C, Duverger N, Denefle P, Rosier M, Vandekerckhove J, Rosseneu M. 2003. Characterization of the ABCA transporter subfamily: identification of prokaryotic and eukaryotic members, phylogeny and topology. Journal of Molecular Biology, 325(2), 259–274. [CrossRef] [PubMed] [Google Scholar]
  60. Prichard RK, Hall CA, Kelly JD, Martin IC, Donald AD. 1980. The problem of anthelmintic resistance in nematodes. Australian Veterinary Journal, 56(5), 239–251. [CrossRef] [PubMed] [Google Scholar]
  61. Qu Q, Sharom FJ. 2002. Proximity of bound Hoechst 33342 to the ATPase catalytic sites places the drug binding site of P-glycoprotein within the cytoplasmic membrane leaflet. Biochemistry, 41(14), 4744–4752. [CrossRef] [PubMed] [Google Scholar]
  62. Qu Q, Chu JW, Sharom FJ. 2003. Transition state P-glycoprotein binds drugs and modulators with unchanged affinity, suggesting a concerted transport mechanism. Biochemistry, 42(5), 1345–1353. [CrossRef] [PubMed] [Google Scholar]
  63. Qu Q, Russell PL, Sharom FJ. 2003. Stoichiometry and affinity of nucleotide binding to P-glycoprotein during the catalytic cycle. Biochemistry, 42(4), 1170–1177. [CrossRef] [PubMed] [Google Scholar]
  64. Ramos F, Portella LP, Rodrigues Fde S, Reginato CZ, Potter L, Cezar AS, Sangioni LA, Vogel FS. 2016. Anthelmintic resistance in gastrointestinal nematodes of beef cattle in the state of Rio Grande do Sul, Brazil. International Journal of Parasitology – Drugs and Drug Resistances, 6(1), 93–101. [CrossRef] [Google Scholar]
  65. Riou M. 2008. “From eggs per gram to genes”–21st International Conference of the World Association for the Advancement of Veterinary Parasitology (WAAVP 2007). Parasite, 15(2), 183–184. [PubMed] [Google Scholar]
  66. Riou M, Guegnard F, Le Vern Y, Kerboeuf D. 2003. Modulation of the multidrug resistance (MDR) system in the nematode Haemonchus contortus by changing cholesterol content: effects on resistance to anthelmintics. Journal of Antimicrobial Chemotherapy, 52(2), 180–187. [CrossRef] [Google Scholar]
  67. Riou M, Koch C, Kerboeuf D. 2005. Increased resistance to anthelmintics of Haemonchus contortus eggs associated with changes in membrane fluidity of eggshells during embryonation. Parasitology Reseach, 95(4), 266–272. [CrossRef] [Google Scholar]
  68. Riou M, Grasseau I, Blesbois E, Kerboeuf D. 2007. Relationships between sterol/phospholipid composition and xenobiotic transport in nematodes. Parasitology Research, 100(5), 1125–1134. [CrossRef] [PubMed] [Google Scholar]
  69. Riou M, Guegnard F, Sizaret PY, Le Vern Y, Kerboeuf D. 2010. Drug resistance is affected by colocalization of P-glycoproteins in raft-like structures unexpected in eggshells of the nematode Haemonchus contortus. Biochemical Cell and Biology, 88(3), 459–467. [CrossRef] [Google Scholar]
  70. Rothnie A, Theron D, Soceneantu L, Martin C, Traikia M, Berridge G, Higgins CF, Devaux PF, Callaghan R. 2001. The importance of cholesterol in maintenance of P-glycoprotein activity and its membrane perturbing influence. European Biophysical Journal, 30(6), 430–442. [CrossRef] [Google Scholar]
  71. Schinkel AH. 1997. The physiological function of drug-transporting P-glycoproteins. Seminars in Cancer Biology, 8(3), 161–170. [CrossRef] [PubMed] [Google Scholar]
  72. Schinkel AH, Mol CA, Wagenaar E, van Deemter L, Smit JJ, Borst P. 1995. Multidrug resistance and the role of P-glycoprotein knockout mice. European Journal of Cancer, 31A(7–8), 1295–1298. [CrossRef] [PubMed] [Google Scholar]
  73. Shechter E, Rossignol B. 1997. Biochimie et biophysique des membranes. Aspects structuraux et fonctionnels. Paris (France): Dunod, 459 p. [Google Scholar]
  74. Shinitzky M, Barenholz Y. 1974. Dynamics of the hydrocarbon layer in liposomes of lecithin and sphingomyelin containing dicetylphosphate. Journal of Biological Chemistry, 249(8), 2652–2657. [Google Scholar]
  75. Shinitzky M, Barenholz Y. 1978. Fluidity parameters of lipid regions determined by fluorescence polarization. Biochimical and Biophysical Acta, 515(4), 367–394. [CrossRef] [Google Scholar]
  76. Sinicrope FA, Dudeja PK, Bissonnette BM, Safa AR, Brasitus TA. 1992. Modulation of P-glycoprotein-mediated drug transport by alterations in lipid fluidity of rat liver canalicular membrane vesicles. Journal of Biological Chemistry, 267(35), 24995–25002. [Google Scholar]
  77. Smit JJ, Schinkel AH, Oude Elferink RPJ, Groen AK, Wagenaar E, van Deemter L, Mol CAAM, Ottenhoff R, van der Lugt NMT, van Roon MA, van der Valk MA, Offerhaus JA, Berns AJM, Borst P. 1993. Homozygous disruption of the murine mdr2 P-glycoprotein gene leads to a complete absence of phospholipid from bile and to liver disease. Cell, 75(3), 451–462. [CrossRef] [PubMed] [Google Scholar]
  78. Smit JJ, Schinkel AH, Mol CA, Majoor D, Mooi WJ, Jongsma AP, Lincke CR, Borst P. 1994. Tissue distribution of the human MDR3 P-glycoprotein. Laboratory Investigation, 71(5), 638–649. [Google Scholar]
  79. Varadyova Z, Pisarčíková J, Babják M, Hodges A, Mravčáková D, Kišidayová S, Königová A, Vadlejch J, Várady M. 2018. Ovicidal and larvicidal activity of extracts from medicinal-plants against Haemonchus contortus. Experimental Parasitology, 195, 71–77. [CrossRef] [PubMed] [Google Scholar]
  80. Waller PJ. 1999. International approaches to the concept of integrated control of nematode parasites of livestock. International Journal of Parasitology, 29(1), 155–164; discussion 183–184. [CrossRef] [Google Scholar]
  81. Yoshimoto H, Takeo T, Irie T, Nakagata N. 2017. Fertility of cold-stored mouse sperm is recovered by promoting acrosome reaction and hyperactivation after cholesterol efflux by methyl-beta-cyclodextrin. Biology and Reproduction, 96(2), 446–455. [CrossRef] [Google Scholar]
  82. Yunomae K, Arima H, Hirayama F, Uekama K. 2003. Involvement of cholesterol in the inhibitory effect of dimethyl-beta-cyclodextrin on P-glycoprotein and MRP2 function in Caco-2 cells. FEBS Letters, 536(1–3), 225–231. [CrossRef] [PubMed] [Google Scholar]
  83. Zimniak P, Pikula S, Bandorowicz-Pikula J, Awasthi YC. 1999. Mechanisms for xenobiotic transport in biological membranes. Toxicology Letters, 106(2–3), 107–118. [CrossRef] [PubMed] [Google Scholar]

Cite this article as: Riou M, Guégnard F, Le Vern Y, Grasseau I, Koch C, Blesbois E & Kerboeuf D. 2020. Effects of cholesterol content on activity of P-glycoproteins and membrane physical state, and consequences for anthelmintic resistance in the nematode Haemonchus contortus. Parasite 27, 3.

All Tables

Table 1

Hatching rates of eggs in water (control) or after MβCD treatment (2.25 mM). The MβCD treatment had no toxic effect. Percent hatching rates (means of three egg hatch assays) of treated eggs weighted according to the percent hatching rate in control samples.

Table 2

Matrix of correlation of five parameters (cholesterol content, anisotropy, R123 accumulation, UIC2 staining, and resistance to thiabendazole [TBZ]) obtained by principal component analysis for each isolate.

Table 3

Relationships between cholesterol content and number of Pgps in the active conformation (UIC2 antibodies), Rhodamine 123 (R123) transport, and resistance to thiabendazole (TBZ) in Haemonchus contortus eggs independently of MβCD treatment.

All Figures

thumbnail Figure 1

Biological model: Haemonchus contortus egg and eggshell.

In the text
thumbnail Figure 2

Physical principle of anisotropy measures (membrane fluidity) after incorporation of the 1,6-diphenyl-1,3,5-hexatriene (DPH) probe with a dual channel PTI Quanta Master Spectrofluorimeter (PTI, Monmouth Junction, NJ, USA). I//: parallel intensity; I⊥: perpendicular intensity.

In the text
thumbnail Figure 3

(A) Measurement of cholesterol content in nematode eggs before and after MβCD (2.25 mM) treatment. The cholesterol content of the two susceptible isolates was higher than that of the two resistant isolates (p < 0.05). Treatment of eggs significantly decreased the cholesterol concentration in eggs, except for the HcR-G isolate (p < 0.05). (B) Measurement of phospholipid content in nematode eggs before and after MβCD (2.25 mM) treatment. The phospholipid content was not modified by the MβCD treatment. (C) Measurement of anisotropy after alterations in eggshells. MβCD treatment decreased the anisotropy significantly in HcS-WB, HcS-Ca, and HcR-WR isolates (p < 0.05). Means of lipid concentrations (M ± SD for three measurements). *Significant effect (p < 0.05). Symbols: (grey rectangles) control eggs and (black rectangles) MβCD treatment. HcS-WB: Haemonchus contortus susceptible Weybridge, HcS-Ca: Haemonchus contortus susceptible Canada, HcR-WR: Haemonchus contortus resistant White River, and HcR-G: Haemonchus contortus resistant Guadeloupe.

In the text
thumbnail Figure 4

Quantification and measurement of Pgp activity in nematodes after MβCD (2.25 mM) treatment. (A) Determination of active Pgp in nematode eggs before and after MβCD (2.25 mM) treatment by UIC2 mAb staining. MβCD treatment increased the UIC2 staining significantly for the HcS-WB, HcS-Ca, and HcR-WR isolates after MβCD (2.25 mM) treatment. Mean fluorescence intensity (M ± SD for three measurements). *Significant effect (p < 0.05). (B) Untreated susceptible nematode isolates accumulated significantly less R123 than untreated resistant isolates (p < 0.05). Significant difference of R123 accumulation between susceptible and resistant isolates (p < 0.05). MβCD treatment decreased R123 accumulation, significantly for the HcS-Ca and HcR-G isolates (p < 0.05). Mean fluorescence intensity (M ± SD for three measurements) was estimated from the difference between the native green fluorescence of eggs and that of eggs stained with R123. *Significant effect (p < 0.05). Symbols: (grey rectangles) control eggs and (black rectangles) MβCD treatment. HcS-WB: Haemonchus contortus susceptible Weybridge, HcS-Ca: Haemonchus contortus susceptible Canada, HcR-WR: Haemonchus contortus resistant White River, and HcR-G: Haemonchus contortus resistant Guadeloupe.

In the text
thumbnail Figure 5

Effect of methyl-β-cyclodextrin (MβCD, 2.25 mM) on resistance to thiabendazole (lethal dose 50% or LD50), for each isolate. MβCD treatment increased the LD50 of thiabendazole (TBZ) but the effect was significant only for the two resistant isolates (p < 0.05). The values reported are means ± SD of three replicates. *Significant effect (p < 0.05). Symbols: (grey rectangles) control eggs and (black rectangles) MβCD treatment. HcS-WB: Haemonchus contortus susceptible Weybridge, HcS-Ca: Haemonchus contortus susceptible Canada, HcR-WR: Haemonchus contortus resistant White River, and HcR-G: Haemonchus contortus resistant Guadeloupe.

In the text
thumbnail Figure 6

Multiparametric analyses of Pgp activity and the lipid environment in Haemonchus contortus nematode eggs before and after MβCD (2.25 mM) treatment. HcS-WB: Haemonchus contortus susceptible Weybridge, HcS-WB-U: Haemonchus contortus susceptible Weybridge Untreated, HcS-Ca: Haemonchus contortus susceptible Canada, HcS-Ca-U: Haemonchus contortus susceptible Canada Untreated, HcR-WR: Haemonchus contortus resistant White River, HcR-WR-U: Haemonchus contortus resistant White River Untreated, HcR-G: Haemonchus contortus resistant Guadeloupe, and HcR-G-U: Haemonchus contortus resistant Guadeloupe Untreated.

In the text

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