Skip to main content

Host responses to Clostridium perfringens challenge in a chicken model of chronic stress

Abstract

Background

This study utilized a chicken model of chronic physiological stress mediated by corticosterone (CORT) administration to ascertain how various host metrics are altered upon challenge with Clostridium perfringens. Necrotic enteritis (NE) is a disease of the small intestine of chickens incited by C. perfringens, which can result in elevated morbidity and mortality. The objective of the current study was to investigate how physiological stress alters host responses and predisposes birds to subclinical NE.

Results

Birds administered CORT exhibited higher densities of C. perfringens in their intestine, and this corresponded to altered production of intestinal mucus. Characterization of mucus showed that C. perfringens treatment altered the relative abundance of five glycans. Birds inoculated with C. perfringens did not exhibit evidence of acute morbidity. However, histopathologic changes were observed in the small intestine of infected birds. Birds administered CORT showed altered gene expression of tight junction proteins (i.e. CLDN3 and CLDN5) and toll-like receptors (i.e. TLR2 and TLR15) in the small intestine. Moreover, birds administered CORT exhibited increased expression of IL2 and G-CSF in the spleen, and IL1β, IL2, IL18, IFNγ, and IL6 in the thymus. Body weight gain was impaired only in birds that were administered CORT and challenged with C. perfringens.

Conclusion

CORT administration modulated a number of host functions, which corresponded to increased densities of C. perfringens in the small intestine and weight gain impairment in chickens. Importantly, results implicate physiological stress as an important predisposing factor to NE, which emphasizes the importance of managing stress to optimize chicken health.

Background

Poultry are exposed to many stressors throughout production, which can have costly impacts to producers. Necrotic enteritis (NE) incited by Clostridium perfringens is an economically-important disease of the small intestine of poultry that results in high bird mortality and costs the global poultry industry US$5–6 billion per year [1]. Research is unravelling the complex nature that physiological stress imparts on disease development, and stressors can both predispose birds to NE and influence the progression of disease [2,3,4]. However, the mechanisms of predisposition are not well understood.

A number of factors common in poultry production may be involved in predisposition of birds to NE. For example, a co-infection with Eimeria spp. predisposes birds to NE by promoting epithelial damage and increasing mucus production, which provides nutrient sources that C. perfringens can competitively utilize [5, 6]. Dietary factors, such as the inclusion of fishmeal and wheat/barley in diets, may also be important predisposing factors for disease [5]. Fishmeal has been demonstrated to alter the composition of the microbiota and may provide novel nutrient substrates for C. perfringens growth [7]. Wheat and barley are a source of non-starch polysaccharides, which can increase the viscosity of digesta, increase water intake, and result in wet litter [5, 8]. Limited research has examined how stress affects the physiology of birds, and how this impacts C. perfringens, and the initiation and progression of NE.

Stress can promote disease via direct and indirect interactions with pathogens. Studies have demonstrated that neurochemicals produced by the host can interact directly with a bacterial pathogen and influence its growth rate and virulence [9]. This has specifically been shown to occur with Escherichia coli O157:H7 and Vibrio parahaemolyticus where the catecholamine noradrenaline enhanced virulence properties, such as adherence to the intestinal mucosa and increased expression of the type III secretion system [9]. Physiological stress can indirectly promote disease by altering factors within the intestinal environment and modulate immune function. Stress studies in rats have shown that anxiety- and depression-like behaviour increased goblet cell numbers in the intestine [10]. Likewise, in chickens it has been demonstrated that feed withdrawal increased mucin gene expression in the small intestine [11]. Barrier function is another factor that can be altered during physiological stress [12]. For example, early weaning stress and heat stress in pigs has demonstrated reduced transepithelial electrical resistance in the small intestine [13, 14]. Indirect measures of barrier function in chickens have shown that heat stress can alter the expression of tight junction proteins [15]. Additionally, increased bacterial detection in the spleen can occur in birds challenged with C. perfringens [6]. Moreover, physiological stress is known to impact immune function in chickens. In this regard, acute stress has been shown to enhance inflammatory responses, whereas chronic stress has resulted in immunosuppression [16]. Repeated stress is particularly important to avoid in production as it results in elevated plasma corticosterone (CORT) levels, promotes immunosuppression through disrupting the Th1 − Th2/Treg balance, and thereby decreases resistance to disease [16].

Modulations to the composition of the enteric microbiota, physical alterations to the gastrointestinal tract, and changes to the immune status of birds are all potential predisposing states to NE, which can be induced by physiological stress. In the current study we challenged white leghorn chickens with C. perfringens and administered CORT in their drinking water as a method to mediate physiological stress. It is noteworthy that various production stressors (i.e. thermal, social, and ammonia) stimulate the production of CORT in chickens [17,18,19]. However, production stressors are inherently variable. Therefore, we chose to exogenously administer CORT to birds to achieve consistently elevated levels of CORT [20]. This allows for the elucidation of how physiological stress affects the host in a prescribed manner. We contend that this will provide crucial baseline information that will facilitate studies to ascertain the impacts of production stressors on the predisposition of birds to disease. Notably, the exogenously administered CORT model is well established, and it has been used previously to study alterations to host metrics in chickens [20,21,22]. Using the CORT administration model, a primary goal of the study was to induce a subclinical state of NE to ascertain how extended stress can influence host responses and bird growth. We hypothesize that physiological stress predisposes birds to subclinical NE by promoting the proliferation of C. perfringens and modulating the host immune system leading to reduced production performance (e.g. weight gain). Objectives of the study were to determine the impacts of CORT administration on: (i) densities of C. perfringens in the intestine; (ii) intestinal mucin production and glycan structure; (iii) tight junction proteins and TLR expression; (iv) disease progression (i.e. histopathologic changes and modulated immune responses); and (v) weight gain in birds. Birds were assigned to one of four following treatments: (1) a negative C. perfringens (Cp−) and negative stress (St−) treatment (Cp−St−); (2) a positive C. perfringens and negative stress treatment (Cp+St−); (3) a negative C. perfringens and a positive stress treatment (Cp−St+); or (4) a positive C. perfringens and positive stress treatment (Cp+St+).

Results

Corticosterone treatment was associated with increased densities of C. perfringens in the small intestine

Confirmation of the successful colonization of inoculated birds by CP1 C. perfringens was confirmed by conventional PCR for the NetB toxin gene, and showed that only inoculated birds (Cp+St− and Cp+St+) were positive for netB 24 h post-inoculation (Additional file 1: Fig. S1). Moreover, birds administered CORT (Cp−St+ and Cp+St+) showed increased densities of C. perfringens in duodenal mucus (P = 0.035), jejunal mucus (P = 0.033), and jejunal digesta (P = 0.050) in comparison to birds not administered CORT (Cp−St− and Cp+St−; Fig. 1).

Fig. 1
figure 1

Corticosterone-mediated stress increased densities of NetB and non-NetB C. perfringens in the small intestine. Birds were administered 0.2% ethanol drinking water (Cp−St−), challenged with 107 CFU C. perfringens (Cp+St−), administered 20 mg/L CORT (Cp−St+), or received both C. perfringens and CORT challenge (Cp+St+). Treatments commenced in birds at 14-days-of-age, where C. perfringens was administered for 2 days and CORT for 7 days. Densities of C. perfringens (log10 copies/g mucus or digesta) were determined by quantitative PCR in jejunal digesta, jejunal mucus, and duodenal mucus using primers specific for 16S gene of C. perfringens. Vertical lines associated with histogram bars represent standard error of the means (n = 4). Asterisks indicate significant differences (P < 0.050)

Corticosterone affected mucus production in the small intestine

Duodenal and jejunal tissue sections were prepared and stained with alcian blue. The intensity of alcian blue staining was quantified as a percentage of acidic mucins relative to total size of villi or crypt region (Fig. 2a). Increased mucin staining was observed in the duodenum of birds administered CORT (Cp−St+ and Cp+St+) in both villi (P = 0.039) and crypts (P = 0.012; Fig. 2b). No changes (P = 0.97) were observed in the jejunum. Relative quantities of MUC2B and MUC5AC mRNA were measured in the duodenum, and decreased (P = 0.045) quantities of MUC2B mRNA were observed in birds administered CORT (Cp−St+ and Cp+St+). Quantities of MUC5AC mRNA were unaltered (P ≥ 0.67) by both CORT administration and C. perfringens inoculation in the duodenum (Fig. 2c). Decreased (P ≤ 0.047) quantities of MUC5AC mRNA were observed in the jejunum of Cp−St− treatment birds relative to all other treatments. There was no effect (P ≥ 0.96) of C. perfringens or CORT on quantities of MUC2B mRNA in the jejunum.

Fig. 2
figure 2

Clostridium perfringens infection modulated mucus production. Birds were administered 0.2% ethanol drinking water (Cp−St−), challenged with 107 CFU C. perfringens (Cp+St−), administered 20 mg/L CORT (Cp−St+), or received both C. perfringens and CORT challenge (Cp+St+). Treatments commenced in birds at 14-days-of-age, where C. perfringens was administered for 2 days and CORT for 7 days. a Example of a duodenal tissue section stained with alcian blue periodic acid Schiff stain; an individual villus and crypt are indicated with the dotted lines. b, c ImageJ quantification of alcian blue staining presented as percent surface area of alcian blue staining to total area of villi or crypt region. b Villi alcian blue staining in the duodenum and jejunum. c Crypt alcian blue staining in the duodenum and jejunum. d Relative mRNA gene quantity of MUC2B and MUC5AC in the duodenum and jejunum. Vertical lines associated with histogram bars represent standard error of the means (n = 4). Asterisks indicate significant differences (P < 0.050)

Altered mucus glycosylation in C. perfringens-infected birds

Total mucin-linked carbohydrates determined by the phenol–sulfuric acid method were 103 ± 25 (Cp−St−), 193 ± 62 (Cp−St+), 78 ± 32 (Cp+St−), and 141 ± 30 (Cp+St+) µmol/mg of mucus. O-glycans were chemically liberated from mucins and fluorescently derivatized (Fig. 3a) to enable rapid glycan profiling by Capillary Electrophoresis with Laser Induced Fluorescence (CE-LIF; Fig. 3b; Additional file 1: Fig. S2). Notably, all glycans share a single common fluorophore, rendering the molar detector response independent of glycan structure, and thus permitted substrate-product relationships to be inferred. In all samples, at least 50 glycans of differing electrophoretic mobilities were detected in under 7 min; peak areas for 23 of these glycans were accurately determined Areas for three closely migrating glycans (peaks 5, 6, and 19) could not be reliably assigned, and hence, larger regions were integrated. Many of the O-glycans were inferred to be sulfated, given that only peaks 5 and 7 were sensitive to weak acid hydrolysis (indicative of the presence of sialic acids), and given that neutral disaccharides migrate around 5 min, and the addition of sulfate groups decreases migration times by ca. 1 min. Notably, peaks 5 and 7 (and 22 and 21) were also fucosidase-sensitive, while peaks 17, 18, 22, 23 and 24 conspicuously increased in fluorescence intensity after sialic acid hydrolysis (Additional file 1: Fig. S3). Relative abundances of five O-glycans were observed to vary (P < 0.050) in birds inoculated with C. perfringens; O-glycan 3 and 17 both increased (P < 0.001), while 7, 10, and 11 decreased (P < 0.001; Fig. 3c), with over a three-fold decrease in glycan 7 (a fucose and sialic acid-containing glycan) being the most pronounced change. The inverse relationship between glycan 7 (P < 0.001) and 17 (P = 0.007) suggested that these might co-vary. Thus, a Spearman rank correlation test (Fig. 4a) was performed with all 26 glycans for birds in all treatment groups (n = 16). We observed correlations (P < 0.001) among all five glycans that differed (P < 0.050) between C. perfringens-inoculated (Cp+St− and Cp+St+) and non-inoculated birds (Cp−St− and Cp−St+). C. perfringens can utilize sialic acid as a carbon source in vitro [23]. Coupling this knowledge with the observed inverse correlation between glycan 7 and 17 (P = 0.006), which were also inversely correlated under desialylation conditions (Additional file 1: Fig. S3), total sialic acids (Fig. 4b) were quantitated by HPLC–MS (Fig. 4c). No changes (P > 0.050) in sialic acid levels were apparent, although three of the four birds inoculated with C. perfringens exhibited higher than average sialic acid levels per mg mucus, a trend that was reversed by CORT administration.

Fig. 3
figure 3

Clostridium perfringens induces alterations in mucus O-glycan profiles. Birds were administered 0.2% ethanol drinking water (Cp−St−), challenged with 107 CFU C. perfringens (Cp+St−), administered 20 mg/L CORT (Cp−St+), or received both C. perfringens and CORT challenge (Cp+St+). Treatments commenced in birds at 14-days-of-age, where C. perfringens was administered for 2 days and CORT for 7 days. a Freeze–dried mucus samples were β-eliminated under non-reducing conditions (i) to yield free, reducing O-glycans that could be fluorescently labelled with 8-aminopyrene-1,3,6-trisulfonate, and (ii) resolved by capillary electrophoresis (CE). b Resulting CE electropherograms revealed over 50 O-glycans per sample, 26 of which were manually integrated in order to calculate their abundances as a percent of the total detected O-glycans. Peaks labelled with asterisks are attributable to excess APTS reagent. c Strip chart of the O-glycans in which relative levels differ (P < 0.050) in one or more treatment group. Solid square markers denote group means, and the vertical lines associated with markers indicate standard error of the means. Markers not labelled with the same letter differ (P ≤ 0.050)

Fig. 4
figure 4

Sialic acid- and sulfate-containing O-glycans are inversely correlated, but Clostridium perfringens challenge and stress do not significantly affect total sialic acid levels. Birds were administered 0.2% ethanol drinking water (Cp−St−), challenged with 107 CFU C. perfringens (Cp+St−), administered 20 mg/L CORT (Cp−St+), or received both C. perfringens and CORT challenge (Cp+St+). Treatments commenced in birds at 14-days-of-age, where C. perfringens was administered for 2 days and CORT for 7 days. a A Spearman’s rank correlation test was performed to determine significant associations between relative levels of all integrated O-glycans detected by CE (26) in all mucus samples (n = 16); x = ρcrit < 0.50 (P < 0.050) and X = ρcrit < 0.64 (P = 0.010). b Mucus samples were hydrolyzed (i), and labelled with 1,2-diamino-4,5-dimethylbenzene (DMBA; (ii) to permit sialic acid quantitation by HPLC–MS (iii). c No significant differences in sialic acid levels were observed among the treatments, although stress tended to lower levels (as a fraction of mucus mass) in both Cp−St+ and Cp+St+ birds. Differing letter codes above each treatment indicate significant differences by the adjusted P-values produced by the HSD test

Corticosterone affected the duodenal epithelium

Birds administered CORT (Cp−St+ and Cp+St+) exhibited decreased quantities of TLR2A (P < 0.041) and TLR15 (P < 0.047) mRNA (Fig. 5a). Neither CORT administration or C. perfringens inoculation had an effect (P ≥ 0.97) on TLR mRNA in the jejunum. Relative quantities of CLDN3 mRNA were higher (P ≤ 0.018) in the duodenum of birds administered CORT alone (Cp−St+), and were highest (P < 0.001) in the duodenum of birds inoculated with C. perfringens and administered CORT (Cp+St+ ; Fig. 5b). In the jejunum, quantities of CLDN3 mRNA were only higher (P = 0.011) in inoculated birds administered CORT (Cp+St+) in comparison to Cp−St− treatment birds. Relative quantities of CLDN5 mRNA in the duodenum were lower (P = 0.042) in birds administered CORT (Cp−St+ and Cp+St+). Neither CORT administration or C. perfringens inoculation had an effect (P ≥ 0.11) on quantities of OCLN mRNA in the duodenum or jejunum.

Fig. 5
figure 5

Clostridium perfringens challenge and corticosterone treatment modulated relative mRNA gene quantities associated with epithelial function in the small intestine. Birds were administered 0.2% ethanol drinking water (Cp−St−), challenged with 107 CFU C. perfringens (Cp+St−), administered 20 mg/L CORT (Cp−St+), or received both C. perfringens and CORT challenge (Cp+St+). Treatments commenced in birds at 14-days-of-age, where C. perfringens was administered for 2 days and CORT for 7 days. (A-B) Relative mRNA quantities in the duodenum and jejunum. aTLR2A and TLR15bCLDN3, CLDN5, and OCLN. Vertical lines associated with histogram bars represent standard error of the means (n = 4). Asterisks indicate significant differences (P < 0.050)

Corticosterone and C. perfringens induced histopathologic changes in the small intestine

No macroscopic lesions characteristic of NE were observed in the small intestine of any birds. However, histopathologic changes (P < 0.029), albeit it moderate, were observed for birds inoculated with C. perfringens (Cp+St− and Cp+St+) in comparison to birds not inoculated with the pathogen (Cp−St− and Cp−St+ ; Fig. 6). Notably, villi hemorrhage contributed to higher (P ≤ 0.050) histopathological scores in Cp+St+ birds in comparison to birds not inoculated with C. perfringens (Cp−St− and Cp−St+). Fibrosis was also elevated (P = 0.037) in Cp+St+ birds in comparison to Cp−St− birds.

Fig. 6
figure 6

Clostridium perfringens incited histopathologic changes in the small intestine. Birds were administered 0.2% ethanol drinking water (Cp−St−), challenged with 107 CFU C. perfringens (Cp+St−), administered 20 mg/L CORT (Cp−St+), or received both C. perfringens and CORT challenge (Cp+St+). Treatments commenced in birds at 14-days-of-age, where C. perfringens was administered for 2 days and CORT for 7 days. Vertical lines associated with histogram bars represent standard error of the means for the total histopathologic score (n = 4). Asterisks indicate significant differences (P < 0.050)

Corticosterone and C. perfringens modulated immune responses in the spleen and thymus

Relative quantities of IL2 (P = 0.043) and G-CSF (P = 0.030) mRNA were higher in the spleen of birds administered CORT (Cp−St+ and Cp+St+ ; Fig. 7a). In contrast, CORT administration did not alter (P ≥ 0.19) mRNA levels of IL1β, IL18, IFNγ, IL6, or TGFβ in the spleen. In the thymus, relative quantities of IL1β, IL2, IL18, IFNγ, IL6, and TGFβ mRNA were higher (P ≤ 0.005) in birds administered CORT (Cp−St+ and Cp+St+ ; Fig. 7b).

Fig. 7
figure 7

Corticosterone administration modulated relative mRNA gene quantities of immune cytokine genes in the spleen and thymus. Birds were administered 0.2% ethanol drinking water (Cp−St−), challenged with 107 CFU C. perfringens (Cp+St−), administered 20 mg/L CORT (Cp−St+), or received both C. perfringens and CORT challenge (Cp+St+). Treatments commenced in birds at 14-days-of-age, where C. perfringens was administered for 2 days and CORT for 7 days. (A-B) Relative mRNA quantities in the (A) spleen and (B) thymus. Vertical lines associated with histogram bars represent standard error of the means (n = 4). Asterisks indicate significant differences (P < 0.050)

Administration of corticosterone and C. perfringens in combination reduced weight gain

Only birds administered C. perfringens and CORT (Cp+St+) exhibited reduced (P ≤ 0.050) weight gain relative to other treatments (Fig. 8). This effect was initially detected (P ≤ 0.015) 3 days after inoculation with C. perfringens and commencement of CORT administration, and persisted (P ≤ 0.005) for the remainder of the experimental period.

Fig. 8
figure 8

Birds co-challenged with C. perfringens and corticosterone exhibited decreased weight gain. Birds were weighed daily from 10 days post-hatch to the study endpoint. Birds were administered 0.2% ethanol drinking water (Cp−St−), challenged with 107 CFU C. perfringens (Cp+St−), administered 20 mg/L CORT (Cp−St+), or received both C. perfringens and CORT challenge (Cp+St+). Treatments commenced in birds at 14-days-of-age, where C. perfringens was administered for 2 days and CORT for 7 days. Vertical lines associated with markers represent standard error of the means (n = 4); markers without vertical lines indicates marker is obscuring the standard error mean or standard error of mean is too small to be represented. Asterisks indicate significant differences (P < 0.050) between the Cp+St+ treatment relative to Cp−St− and Cp+St− treatments

Discussion

The mode in which physiological stress predisposes chickens to disease is complex in nature and includes a variety of factors that can be modulated within the host. In the current study, CORT was administered to birds to determine if physiological stress can modulate host responses within the intestine and immune organs in a manner that could predispose them to NE. Additionally, we investigated the impact of C. perfringens and physiological stress on body weight gain and subclinical NE.

Clostridium perfringens densities in the small intestine

The risk of NE is elevated when higher densities of C. perfringens are present in the intestine of chickens [24]. It has been demonstrated that heat stress, cold stress, and high stocking density in chickens can elevate C. perfringens cell densities in ceca [2, 3, 25]. We examined the impact of stress on C. perfringens densities in the small intestine as it is the primary site of NE incitation. Notably, we observed that all birds were colonized with non-NetB C. perfringens strains that presumably originated from eggs (i.e. the specific-pathogen-free leghorn chickens used in the study are not C. perfringens free). However, only birds inoculated with NetB-containing C. perfringens were positive for netB detection in the feces. We observed that CORT administration was associated with an in increase in NetB and non-NetB C. perfringens densities within duodenal mucus, jejunal mucus, and jejunal digesta. Higher intestinal densities of C. perfringens result in elevated fecal shedding of C. perfringens into the environment which in turn exposes birds to re-inoculation by the bacterium, and horizontal transmission to other birds [25]. Moreover, higher densities of C. perfringens may facilitate quorum sensing and increased release of toxins in the intestine [26]. For example, the VirSR two-component system has been shown to transcriptionally regulate the NetB toxin, which is considered to be an important pathogenicity factor in C. perfringens. Thus, higher numbers of C. perfringens in the intestine would be expected to elevate the probability of NE development.

Alterations to intestinal mucus

Physiological stress can alter the intestinal environment in a manner that provides novel substrates to microorganisms. In this regard, it has been hypothesized that C. perfringens can utilize intestinal mucins as a mechanism to gain access to host epithelium [6]. Recent research by our team has demonstrated that C. perfringens is capable of growing on the mucin monosaccharides d-galactose, d-mannose, and sialic acid (i.e. N-acetyl-d-neuraminic acid, and N-acetyl-d-glucosamine) when provided as the sole carbon source [23]. Furthermore, selection for C. perfringens under enhanced mucus production was observed in piglets [27]. In the current study, we visually measured intestinal mucins by staining them with alcian blue, and quantified the intensity of mucin staining within the small intestine. We observed increased mucin staining in the duodenum in both villi and crypt regions of birds administered CORT. A relationship between C. perfringens densities and increased goblet cell numbers has previously been observed in ileal crypts of broiler chickens [6]. We observed that the density of C. perfringens was highest in birds administered CORT, which corresponded with the increased mucus production detected in the duodenum of birds. Previous reports have demonstrated increased expression of MUC5AC in the jejunum of Eimeria spp. challenged birds, and decreased expression of MUC2B in birds co-challenged with C. perfringens and Eimeria spp. [28]. We observed an increase in MUC5AC in the jejunum of birds administered C. perfringens alone, CORT alone, and C. perfringens and CORT in combination. A decrease in the expression of MUC2B was only observed in the duodenum of birds administered CORT. Our visual staining of mucins did not correspond with the gene expression results. In this regard, we observed increased intensity of mucin staining within duodenal crypts and villi, but observed no changes in mucin quantities in the jejunum among treatments. One possibility is that measuring mRNA gene expression may not be an accurate way to assess the levels of mucins present in the intestine. Furthermore, we sampled birds 7 days post-infection, which may have been too late to detect many changes in mucin gene expression. It is noteworthy that a previous study also reported no change in MUC2B expression after a 7 day C. perfringens challenge [29].

Intestinal mucins comprise up to 80% O-glycans by mass. Thus, changes in the biosynthesis and/or metabolism of mucin O-glycans (i.e. by C. perfringens or other intestinal microorganisms) may have resulted in increased levels of acidic- (Neu5Ac- or sulfate-containing) and alcian blue-stained glycans even as mRNA levels for MUCs decrease. We observed a trend for higher glycosylation of mucus in birds administered CORT. This observation corresponded with increased intensity of alcian blue staining in the duodenum. We further assessed alterations to O-glycan profiles by CE-LIF. We observed a relative decrease in glycans containing sialic acid (glycan 7) and/or fucose (glycan 7 and 10) with a concurrent increase in sulfated glycans (glycans 3 and 17) in birds inoculated with C. perfringens. It is generally accepted that the sulfation of intestinal mucins confers resistance to microbial degradation [30, 31]. These results indicate that C. perfringens could modify the composition of mucins, although it is unknown whether this occurred due to C. perfringens utilization of O-glycans, or because host production of mucins was modified due to infection by C. perfringens. Future experiments in the presence of sialidase inhibitors will aid in resolving how C. perfringens can alter the O-glycan composition of intestinal mucins [32]. In addition, techniques permitting absolute glycan quantitation (rather than assessing relative levels as was done here and elsewhere [33]) will be needed to fully resolve transcriptional and post-transcriptional alterations in mucin biosynthesis.

Modifications to the small intestinal epithelium

Epithelial properties were examined by measuring mRNA expression of tight junction proteins and TLRs. Claudin 3 and 5 function to maintain barrier integrity by regulating paracellular permeability to ions, solutes, and proteins [34]. We observed that both C. perfringens and CORT administration incited elevated expression of CLDN3 in the duodenum. Therapeutic use of glucocorticoids in humans has been shown to enhance intestinal epithelial tight junction integrity, and this corresponds with increased claudin expression [35]. Conversely, increased expression of CLDN3 in alveolar epithelial cells has been associated with a decrease in barrier function [36]. Toxigenic intestinal pathogens are capable of disrupting barrier function by altering tight junction proteins [37, 38], and given the toxigenic nature of C. perfringens, it is possible this influenced the alterations to claudin expression that was observed in the current study. Heat stress in chickens has been shown to increase CLDN5 expression in the jejunum and ileum [15]. Likewise, mycotoxin treatment resulted in an increase in CLDN5, which may have been the result of subclinical inflammation [39]. In contrast to claudins, we showed that occludin was unaffected by C. perfringens and/or CORT administration as has been previously reported in birds exposed to heat stress [15]. Occludin is a tight junction protein that functions in maintaining barrier integrity, although is not always essential for tight junction formation [40].

Toll-like receptor 2 signalling has been implicated in the preservation of intestinal barrier integrity under a state of inflammation [41]. For example, mice with colitis induced by dextran sulfate sodium exhibited ameliorated clinical symptoms and increased intestinal integrity when treated with a TLR2 ligand [42]. One function of TLR2 is to activate nuclear factor-κB resulting in the release of inflammatory cytokine and chemokine mediators [41]. Additionally, TLR2 mediates an anti-inflammatory effect by inducing the release of IL10 which in turn inhibits macrophage and dendritic cell effector function [41]. In the current study, we measured the expression of TLR2 and TLR15 in the small intestine of chickens. TLR15 is a unique TLR to avian species, which exhibits homology with TLR2 [43]. Although a specific ligand to TLR15 has not been identified, it has been demonstrated that both Gram positive and Gram negative bacteria can stimulate expression of TLR15 mRNA [43]. We observed a similar expression pattern for TLR2 and TLR15, which is consistent with a previous report [44]. This suggests that both of these TLRs are regulated or stimulated in the same manner [44]. The administration of CORT to chickens in the current study resulted in decreased expression of both TLR2 and TLR15 in the duodenum. Strenuous exercise at high heat has been shown to decrease the expression to TLR2 in human peripheral monocytes [45]. Likewise, our results are in agreement with a study that showed that heat stress in chickens challenged with Salmonella enterica Enteritidis exhibited decreased TLR2 expression in the spleen and cecal tonsils [46]. Decreased levels of TLR2 have been associated with impairment of intestinal integrity [46]. Moreover, it has been shown that TLR2 signalling can preserve the integrity of the tight junction protein, zona occluden 1 under inflammatory stress-induced damage [47]. Given the importance of tight junction proteins and TLRs in the maintenance of barrier function, our results indicate that physiological stress induced by CORT administration can modify tight junction protein and TLR expression in the small intestine.

Clostridium perfringens challenge induces subclinical necrotic enteritis

We observed that neither C. perfringens alone or in combination with CORT incited macroscopic lesions indicative of NE in the small intestine 7 days post challenge with the bacterium. Lesion scores in broiler chickens are highest 1 day after the administration of C. perfringens, and NE lesions become inconspicuous 7 days post challenge [48]. However, we intentionally used a layer breed of chicken that is less susceptible to NE [49] as the goal of our study was to examine chronic stress on sublethal NE. In addition to examinations for gross pathologic changes, we examined histopathologic changes in the small intestine. We observed conspicuous, albeit moderate microscopic tissue injury in birds treated with C. perfringens alone and in combination with CORT. Importantly, C. perfringens inoculated birds presented substantially higher total histopathological scores than non-inoculated birds indicative of subclinical NE. These results are in agreement with a study that examined the impact of heat stress on NE. In this regard, Calefi et al. [50] observed that birds challenged with C. perfringens exhibited higher histopathological scores, while the application of heat stress decreased histopathological scoring in birds challenged with the pathogen. It is noteworthy that we also observed a small, yet significant decrease in histological scoring of birds subjected to both C. perfringens and CORT. This may be due to the immunomodulatory functions of CORT, which can interfere with the production of inflammatory cytokines and prevent the infiltration of heterophils to the mucosa [50].

To further assess subclinical disease incited by C. perfringens, we examined the expression of several immune cytokines in the thymus and spleen. We examined responses in a primary and secondary lymphoid organ as immune responses in the intestine have been previously investigated in C. perfringens challenge and stress studies [6, 25, 51, 52]. The spleen is a secondary lymphoid organ that plays a central role in the establishment of the immune system in young birds [53]. The chicken spleen hosts a multitude of functions, which include immune surveillance, lymphocyte differentiation, antibody synthesis, formation of complement, differentiation of blood monocytes into macrophages, and is a primary site for immune complex formation [53, 54]. As chickens lack defined lymph nodes, the spleen is an important organ for disease resistance [54]. We observed that the administration of CORT to birds altered the expression of IL2 and G-CSF in the spleen. Interleukin 2 functions to activate and proliferate T cells and it is considered to be mediator of a Th1 response [55]. Although we observed elevated IL2, the expression of other inflammatory cytokines (i.e. IL18, IFNγ, IL6) were not altered by CORT administration or C. perfringens challenge. We observed elevated G-CSF, also known as colony stimulating factor 3, which may have been regulating the maturation and function of heterophils as has been suggested previously [56]. The elevated G-CSF that we observed could correspond with reports of corticosterone impacts on birds inducing elevation of heterophil numbers [16]. It is noteworthy that Hong et al. [57] demonstrated elevated IL1β and IL6 in the spleen of broilers as early as 2 days post-infection with C. perfringens. Although we cannot exclude the possibility that acute responses occurred in white leghorns, the significant differential expression of immune genes that we observed 7 days after inoculation with C. perfringens is consistent with a prolonged sublethal infection.

In contrast to responses in the spleen, we observed substantial modulation of immune genes in the thymus of birds administered CORT. The differing responses observed in these two organs suggest that glucocorticoids impact these organs differently [58]. The spleen consists primarily of mature immune cells that may be more resistant to the actions of glucocorticoids [58]; whereas, the thymus contains immature thymocytes that may be more sensitive to glucocorticoids [58]. Both the bursa of Fabricius and thymus can be highly affected by glucocorticoids through receptor mediated binding that leads to apoptosis [54]. We have previously demonstrated that CORT can induce lymphoid cell depletion, atrophy, and elevate IL6 and TGFβ responses in the bursa [59]. Furthermore, we observed elevated expression of the inflammatory cytokines, IL2, IL18, IL1β, IFNγ, and IL6 in the thymus after 7 days of CORT administration. This may primarily be due to the local effect of thymocytes undergoing glucocorticoid-mediated cell death with macrophages actively removing debris [58].

Modulation to body weight gain

Clinical NE is recognized as a problem due to high mortalities and losses to farmers. Subclinical disease can also result in tremendous losses as the impacts of disease can go undetected but adversely affect bird performance (e.g. reduced weight gain). Significantly, an impairment in weight gain can translate into significant production losses, as more resources are required to reach slaughter weight. Although white leghorn chickens inoculated with NetB C. perfringens were colonized by the bacterium, which incited modest histopathologic changes to the small intestine, we observed no impairment in weight gain. This is in agreement with other NE studies that showed C. perfringens colonization did not affect the weight of broiler chickens [51]. However, we observed significant impairment to weight gain in birds infected with C. perfringens and administered CORT. Although the precise mechanisms responsible for this observation remain enigmatic, we have previously shown that CORT administration conspicuously affects bird metabolism [59]. Furthermore, mounting an immune response is metabolically costly and it is plausible that the metabolic cost to birds resulting from physiological stress and infection by C. perfringens resulted in the reduction in bird weight gain [60]. We observed significant weight gain reduction beginning at 3 days post-infection with C. perfringens and initiation of CORT administration. An examination of host responses earlier in a time course should be conducted in future studies. Moreover, temporal determinations of the metabolic cost to birds sub-lethally infected with pathogens under conditions of physiological stress is warranted.

Conclusion

We demonstrated that chronic physiological stress mediated by CORT administration altered several host measures that corresponded with increased susceptibility to NE in chickens. Several alterations to mucus characterization, epithelial properties, and immune measures corresponded with the administration of CORT. Importantly, CORT administration resulted in increased densities of C. perfringens in the small intestine, and impacted bird weight gain in infected birds. Our findings emphasize the importance of controlling stress in production, not only to enhance bird welfare and performance, but also to influence host-microorganism interactions and decrease the predisposition of birds to disease, including subclinical manifestation of NE and possibly other diseases of chickens.

Materials and methods

Ethics statement

The study was carried out in strict accordance with the recommendations specified in the Canadian Council on Animal Care Guidelines. The project was reviewed and approved by the Lethbridge Research and Development Centre (LeRDC) Animal Care Committee (Animal Use Protocol Review #1707) before commencement of the research.

Experimental design

This study was designed as a factorial experiment with two levels of C. perfringens challenge (±) and two levels of stress (±) arranged as a completely randomized design with four replicates (n = 16). The experiment was conducted on two separate occasions (i.e. ‘runs’), with two replicates per run. The four treatments were: (1) a negative C. perfringens and negative stress treatment (Cp−St−); (2) a positive C. perfringens and negative stress treatment (Cp+St−); (3) a negative C. perfringens and a positive stress treatment (Cp−St+); and (4) a positive C. perfringens and positive stress treatment (Cp+St+).

Animals

Specific-pathogen-free white leghorn chickens eggs were obtained from the Canadian Food Inspection Agency (Ottawa, Canada). Eggs were incubated in a Brinsea Octagon 40 Advanced Digital Egg Incubator (Brinsea Products Inc., Titusville, FL) according to the manufacturer’s guidelines from incubating chicken eggs. Eggs were maintained at 37.5 °C and 60% humidity with hourly turning of the eggs for the first 18 days of incubation. Thereafter, eggs were set flat for hatching and humidity was increased to 70%. Chicks (1-day-old) were placed in pairs within individually ventilated cages (1862 cm2 floor space; Techniplast, Montreal, QC). These cages were operated in containment mode (i.e. negative air pressure flow) to provide bi-directional HEPA filtered air exchange and protect researchers from pathogens, including C. perfringens. Autoclaved wood shavings (United Farmers of Alberta Co-operative Ltd., Lethbridge, AB) were added to each cage, and were replaced each morning. Birds were provided continuous free access to a non-medicated commercial starter diet (Hi-Pro Feeds, Lethbridge, AB; Additional file 2: Table S1) and water by nipple drinker. Birds were maintained at 30 °C for 2 days, 28 °C for 2 days, then maintained at 26 °C for the remainder of the experiment on a 16 h light: 8 h dark cycle. Birds were weighed daily starting at 10 days post-hatch.

Corticosterone administration

The dose and method of CORT administration was determined in a previous study [59]. CORT (20 mg; Sigma Aldrich Inc.) was dissolved in 2 mL of anhydrous ethanol and added to 1 L of drinking water (0.2%). Water containing CORT was prepared fresh each day, and added to animal cages twice daily. CORT control birds were administered water containing 0.2% ethanol. CORT and/or ethanol was added to water when chicks reached 14-days-of-age and continued until the end of the experiment.

Clostridium perfringens inoculation

A pathogenic strain of C. perfringens (CP1) was grown in Heart Infusion Broth in an anaerobic atmosphere using a gas pack (Oxoid™, AnaeroGen™, Thermo Scientific™) for 16 h at 37 °C. At 14-days-of-age, birds were gavaged with 500 µL of C. perfringens (5 × 107 CFU total) culture grown for 16 h or Heart Infusion Broth (control) for 2 consecutive days. To enumerate cell densities, the broth culture was diluted in a tenfold dilution series, 200 µL was spread onto Columbia agar containing 5% sheep blood, and colonies were counted at the dilution yielding 30 to 300 CFU. Fecal samples were collected 24 h post-inoculation to confirm infection by the CP1 strain, which is positive for the NetB toxin. Fecal DNA was extracted using QIAamp Fast DNA Stool Mini Kit (Qiagen, Inc., Toronto, ON) and subjected to conventional PCR using primers specific to NetB toxin gene (Additional file 2: Table S2).

Bird euthanasia and sample collection

Fecal samples were collected 24 h post-inoculation with C. perfringens using sterile forceps during daily cage cleaning. At the experimental endpoint, all birds were anesthetized, euthanized, and sampled. Birds were anesthetized with isoflurane (5% isoflurane; 1 L O2/min) and blood was collected via intracardiac puncture. Birds were euthanatized by cervical dislocation while under general anaesthesia. The abdomen was opened with a ventral midline incision, and the thymus, spleen, duodenum, jejunum, and the ceca were aseptically removed. The intestine was longitudinally opened using a sterile blade, and digesta in the lumen of the jejunum and ceca was removed using a sterile wooden splint. Mucus in the duodenum was gently scraped from mucosa using a sterile glass microscope slide. Tissue samples for RNA analysis were immediately placed within RNA protect Tissue Reagent (Qiagen Inc.). Tissues for histopathologic examination were placed in 10% neutral buffered formalin (i.e. for hematoxylin and eosin (H&E) staining). Intestinal tissues for staining and visualization of mucins were placed in methacarn (60% methanol; 30% chloroform; 10% glacial acetic acid). With the exception of samples for H&E and mucin examination via microscopy, samples were stored at -80 °C until processed.

Quantitative PCR of C. perfringens

Bacterial genomic DNA from duodenal mucus, jejunal digesta, and cecal digesta was extracted using QIAamp Fast DNA Stool Mini Kit (Qiagen, Inc.). Genomic DNA was extracted from a pure culture of C. perfringens CP1 strain using DNeasy Blood and Tissue Kit (Qiagen, Inc.). Cell biomass was lysed using enzymatic lysis buffer (20 mM Tris·Cl, pH 8.0; 2 mM sodium EDTA; 1.2% Triton X-100; 20 mg/mL lysozyme) instead of the lysis solution (buffer ATL) supplied in the kit. A standard curve of known copies of 16S DNA specific to C. perfringens was generated with DNA amplified from the CP1 strain (primers in Additional file 2: Table S2). Amplicons were visualized in a 2% agarose gel, and the amplicon was extracted using QIAquick Gel Extraction Kit (Qiagen Inc.). To generate a standard curve of known gene copies, the gel-extracted DNA was quantified fluorometrically using Qubit™ 2 (Life Technologies, Burlington, ON, Canada), and copies of genes were normalized to 107 copies/µL based on concentration, amplicon size, and nucleotide weight. A standard curve was generated by diluting DNA in a tenfold dilution series and amplifying C. perfringens 16S DNA using CP1.2 primers (Additional file 2: Table S2). Quantitative PCR (qPCR) was used to measure C. perfringens densities in duodenal mucus, jejunal digesta, and cecal digesta relative to the standard curve and normalized by the weight of the sample. Each reaction contained 10.0 µL QuantiTect SYBR green master mix (Qiagen Inc.), 1.0 µL of each primer (10 µM), 2.0 µL bovine serum albumin (1 mg/mL), 4.0 µL DNase-free water, and 2.0 µL template DNA. Reactions conditions were: 95 °C for 15 min; and 40 cycles of 95 °C for 15 s, 55 °C for 30 s, and 72 °C for 30 s; and melt curve analysis from 55 to 95 °C. A Mx3005p thermocycler (Agilent Technologies, Santa Clara, CA) was used to conduct qPCR analysis. Reactions were run in triplicate, and the mean of the three observations was calculated.

Alcian blue periodic acid Schiff stain and ImageJ quantification

Duodenal and jejunal tissues were fixed in methacarn for a minimum of 48 h. Samples were dehydrated using a Leica tissue processor (Leica TP1020 Benchtop Tissue Processor, Leica Biosystems, Concord, ON), embedded in paraffin blocks using a Shandon Histocentre 3 Embedding Center (Thermo Scientific, Ottawa, ON), and sectioned (≈ 5 µm) using a Finesse 325 Manual Rotary Microtome (Thermo Scientific). Slides were deparaffinised with xylene and rehydrated to water through a series of decreasing ethanol washes. Slides were stained with 1% alcian blue (pH 2.5, 3% acetic acid) for 30 min and subsequently rinsed with water for 8 min. Slides were immersed into 0.5% periodic acid for 10 min followed by 5 min washing with water, stained with Schiff solution for 20 min, and rinsed with warm tap water for 10 min. Slides were then dehydrated with 100% ethanol, cleared with xylene and cover slipped with Permount™ mounting medium (Ficher Chemical SP15500). Each tissue sample was visualized with a Zeiss Axioskop2 Plus microscope (Ziess Canada Ltd., Toronto, ON), and photographed using an Axiocam 506 color camera (Ziess Canada Ltd.) with Zen 2.0 software. The surface area of alcian blue staining was quantified in eight arbitrarily-selected intact villi and crypts for each tissue section. To ensure uniformity in staining and analysis, all slides were stained and photographed at the same time. The individual completing quantification analysis was blinded to treatments. Alcian blue staining was quantified using ImageJ as previously described [6, 61]. Briefly, each picture was imported into ImageJ and made into a RGB stack. The red stack was used for quantification where lower threshold was set to zero and upper threshold set to 140. The region of interest tool was used to select either the villi or crypt region. The measure function was used to obtain percent surface area of alcian blue staining in the region of interest.

Characterization of mucus

O-glycans

Mucus was transferred to pre-weighed 1.5 mL screw-capped centrifuge tubes (Sarstedt, Germany), dried by lyophilisation (reweighed), and subjected to ammonia-catalyzed β-elimination as previously described [62] with several modifications. In brief, samples were heated in (NH4)2CO3 (Sigma Aldrich) saturated NH4OH (Anachemia, VWR, Montrel, QC) for 40 h at 60 °C. After cooling, samples were evaporated to dryness at ambient temperature using a SpeedVac (Thermo Fisher Scientific™) concentrator; 1 mL of 18 MΩcm−1 water was added to the dried samples which were mixed by vortexing and sonication in a water bath sonicator (VWR, Edmonton, AB), and dried a second time to remove ammonium salts. Samples were suspended in 100 μL of 18 MΩcm−1 water and insoluble proteins were pelleted by centrifugation (10,000×g, 5 min, 21 °C). Without prior acidification or reduction, the released O-glycans contained in the supernatant were subsequently desalted using 250 mg Supelco ENVICarb solid phase extraction (SPE) cartridges (Sigma Aldrich) [23]. Desalted O-glycans were labelled with 8-aminopyrene-1,3,6-trisulfonate (APTS) and subsequently resolved by capillary electrophoresis (CE; ProteomeLab PA800; Beckman-Coulter); APTS-labelled glycans were detected by laser-induced fluorescence (LIF) [63, 64]. Peaks were manually integrated using 32Karat Software Version 7.0 (Beckman-Coulter); in several instances, peaks migrated too closely together to enable accurate comparisons/integrations between different samples, and in these cases, whole regions of the electropherograms were integrated. All glycan peak areas were expressed relative to the sum of the total integrated areas of peaks not attributable to the APTS labelling reagent. APTS-labelled O-glycans were treated with bovine kidney α-fucosidase (Sigma Aldrich) or mild acid hydrolysis (see below) in order to identify fucose- and sialic acid-containing glycans, respectively; in each case, loss of a CE peak (relative to a non-treated control) after treatment was taken as evidence for these monosaccharide constituents.

Sialic acid quantitation

Lyophilized mucus samples were accurately weighed, suspended in 2 M acetic acid (EMD Millipore, Darmstadt, Germany), and subjected to mild acid hydrolysis to selectively liberate sialic acids exactly as previously described [65]. The released sialic acids were derivatized using 1,2-diamino-4,5-dimethylbenzene (DMBA; Sigma Aldrich) and quantitated by high-performance liquid chromatography-mass spectrometry (HPLC–MS) using an external calibration curve. The amount of sialic acid present in each sample was either normalized to the dry sample mass or to the total monosaccharide content as determined by the phenol–sulfuric method [66].

Quantification of mRNA of response genes

Total RNA was extracted from duodenal, jejunal, splenic, and thymic tissues using a RNeasy mini kit (Qiagen Inc.) as described previously [59]. An additional DNase step was included to remove residual genomic DNA. A Bioanalyzer RNA 6000 Nano kit (Agilent, Mississauga, ON, Canada) was used to measure RNA quality and quantity, and 1 μg of RNA was reverse transcribed to cDNA using a QuantiTect reverse transcription kit (Qiagen Inc.). Quantitative PCR was performed using an Mx3005p thermocycler (Agilent Technologies). Each reaction contained 5.0 µL of QuantiTect SYBR green master mix (Qiagen Inc.), 0.5 µL of each primer (10 µM), 3.0 µL RNase-free water, and 1.0 µL cDNA. PCR conditions were: 95 °C for 15 min; 40 cycles of 95 °C for 15 s, 58 °C for 30 s, and 72 °C for 30 s; and melt curve analysis from 55 to 95 °C. Primer sequences specific to gene targets (Additional file 2; Table S2) were generated using NCBI primer BLAST; primers were designed to create an amplicon between 75 and 200 base pairs. Efficiencies for all primers were between 95 and 110% and a single peak was present in melt curve analysis. Reactions were run in triplicate and the average Ct values were used to calculate gene expression relative to two reference genes (BA and TBP) using qBase + software (Biogazelle, Gent, Belgium) [67].

Small intestinal histopathology

Jejunal tissue samples were fixed in formalin for a minimum of 24 h. Samples were dehydrated, embedded in paraffin, and sectioned as described above. Slides were de-paraffinized with xylene and stained with hematoxylin and eosin. Jejunal sections were scored by veterinarian pathologist (RREU) blinded to treatments using a modified scoring criteria previously described [68, 69]. Sections were graded 0 to 4 for villus fusion, villous hemorrhage, epithelial cell injury, red blood cells within lumen, proteinaceous material within the lumen, intestinal inflammatory infiltrates, and fibrosis. The total pathological score was determine by calculating the sum of scores from all categories for each bird.

Statistical analysis

Statistical Analysis Software (SAS Institute Inc. Cary, NC) was used to perform the majority of statistical analysis except as otherwise noted. With the exception of the histopathologic score data, continuous data was assessed to ensure normality. Treatment and interaction among factors were determined using a mixed linear model. Animal body weight data was treated as a repeated measure; the appropriate covariance structure was utilized according to the lowest Akaike’s Information Criterion. In the event of a significant main effect (P ≤ 0.050), the least squares means test was used to evaluate differences among treatments for qPCR, gene expression, mucin stain intensity, and body weight gain. Categorical data (i.e. histopathologic changes) was analyzed using a non-parametric Fisher’s exact test where pairwise comparisons were performed between all treatments. Differences in glycan abundances were analyzed using R (Version 3.6.1). The normality and homogeneity of variances in the average relative (%) abundances of each O-glycan was assessed using normal quantile plots and a Levene’s test, respectively. Analysis of variance (ANOVA) was subsequently employed to determine if there was a difference (at a significance level of 0.050) in O-glycan levels associated with each bird treatment. A Tukey’s honestly significant difference (HSD) test was performed to determine statistically significant differences among the means (P < 0.050). A Spearman’s rank correlation test was performed (using Microsoft Excel) to discover co-varying O-glycans. Data are represented as the mean ± standard error of the mean.

Availability of data and materials

The datasets generated during and/or analysed during the current study are available from the corresponding authors on reasonable request.

Abbreviations

CORT:

Corticosterone

NE:

Necrotic enteritis

Cp−:

Birds not inoculated with C. perfringens

Cp+:

Birds inoculated with C. perfringens

St−:

Birds not administered corticosterone

St+:

Birds administered corticosterone

CE-LIF:

Capillary electrophoresis with laser induced fluorescence

TLR:

Toll-like receptor

CLDN:

Claudin

OCLN:

Occludin

IL:

Interleukin

G-CSF:

Granulocyte colony stimulating factor

IFNγ:

Interferon-γ

TGFβ:

Transforming growth factor β

MUC:

Mucin

HPLC-MS:

High-performance liquid chromatography-mass spectrometry

qPCR:

Quantitative polymerase chain reaction

CFU:

Colony forming unit

H&E:

Hematoxylin and eosin

Neu5Ac:

N-acetyl-d-neuraminic acid

SPE:

Solid phase extraction

APTS:

8-aminopyrene-1,3,6-trisulfonate

References

  1. Wade B, Keyburn A. The true cost of necrotic enteritis. World Poult. 2015;31:16–7.

    Google Scholar 

  2. Tsiouris V, Georgopoulou I, Batzios C, Pappaioannou N, Ducatelle R, Fortomaris P. High stocking density as a predisposing factor for necrotic enteritis in broiler chicks. Avian Pathol. 2015;44:59–66.

    Article  CAS  PubMed  Google Scholar 

  3. Tsiouris V, Georgopoulou I, Batzios C, Pappaioannou N, Ducatelle R, Fortomaris P. The effect of cold stress on the pathogenesis of necrotic enteritis in broiler chicks. Avian Pathol. 2015;44:430–5.

    Article  CAS  PubMed  Google Scholar 

  4. Tsiouris V, Georgopoulou I, Batzios C, Pappaioannou N, Ducatelle R, Fortomaris P. Heat stress as a predisposing factor for necrotic enteritis in broiler chicks. Avian Pathol. 2018;47:616–24.

    Article  CAS  PubMed  Google Scholar 

  5. Moore RJ. Necrotic enteritis predisposing factors in broiler chickens. Avian Pathol. 2016;45:1–22.

    Article  CAS  Google Scholar 

  6. Collier C, Hofacre C, Payne A, Anderson D, Kaiser P, Mackie RI, Gaskins HR. Coccidia-induced mucogenesis promotes the onset of necrotic enteritis by supporting Clostridium perfringens growth. Vet Immunol Immunopathol. 2008;122:104–15.

    Article  CAS  PubMed  Google Scholar 

  7. Stanley D, Wu S-B, Rodgers N, Swick RA, Moore RJ. Differential responses of cecal microbiota to fishmeal, Eimeria and Clostridium perfringens in a necrotic enteritis challenge model in chickens. PLoS ONE. 2014;9:e104739.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Hermans P, Morgan K. Prevalence and associated risk factors of necrotic enteritis on broiler farms in the United Kingdom; a cross-sectional survey. Avian Pathol. 2007;36:43–51.

    Article  CAS  PubMed  Google Scholar 

  9. Freestone PP, Sandrini SM, Haigh RD, Lyte M. Microbial endocrinology: how stress influences susceptibility to infection. Trends Microbiol. 2008;16:55–64.

    Article  CAS  PubMed  Google Scholar 

  10. O’Malley D, Julio-Pieper M, Gibney SM, Dinan TG, Cryan JF. Distinct alterations in colonic morphology and physiology in two rat models of enhanced stress-induced anxiety and depression-like behaviour. Stress. 2010;13:114–22.

    Article  PubMed  Google Scholar 

  11. Smirnov A, Sklan D, Uni Z. Mucin dynamics in the chick small intestine are altered by starvation. J Nutr. 2004;134:736–42.

    Article  CAS  PubMed  Google Scholar 

  12. Soderholm JD, Perdue MH. II Stress and intestinal barrier function. Am J Physiol Gastrointest Liver Physiol. 2001;280:7–13.

    Article  Google Scholar 

  13. Smith F, Clark JE, Overman BL, Tozel CC, Huang JH, Rivier JE, Blisklager AT, Moeser AJ. Early weaning stress impairs development of mucosal barrier function in the porcine intestine. Am J Physiol Gastrointest Liver Physiol. 2009;298:G352–63.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Pearce S, Mani V, Boddicker R, Johnson J, Weber T, Ross J, Baumgard L, Gabler N. Heat stress reduces barrier function and alters intestinal metabolism in growing pigs. J Anim Sci. 2012;90:257–9.

    Article  PubMed  Google Scholar 

  15. Varasteh S, Braber S, Akbari P, Garssen J, Fink-Gremmels J. Differences in susceptibility to heat stress along the chicken intestine and the protective effects of galacto-oligosaccharides. PLoS ONE. 2015;10:e0138975.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Shini S, Huff GR, Shini A, Kaiser P. Understanding stress-induced immunosuppression: exploration of cytokine and chemokine gene profiles in chicken peripheral leukocytes. Poult Sci. 2010;89:841–51.

    Article  CAS  PubMed  Google Scholar 

  17. Gross W, Siegel PJ. Long-term exposure of chickens to three levels of social stress. Avian Dis. 1981;25:312–25.

    Article  CAS  PubMed  Google Scholar 

  18. Garriga C, Hunter RR, Amat C, Planas JM, Mitchell MA, Moreto M. Heat stress increases apical glucose transport in the chicken jejunum. Am J Physiol Regul Integr Comp Physiol. 2006;290:195–201.

    Article  CAS  Google Scholar 

  19. Edens FW. Influence of atmospheric ammonia on serum corticosterone, estradiol-17 and progesterone in laying hens. Int J Poultry Sci. 2015;14:427–35.

    Article  CAS  Google Scholar 

  20. Post J, Rebel JMJ, Huurne A. Physiological effects of elevated plasma corticosterone concentrations in broiler chickens. An alternative means by which to assess the physiological effects of stress. Poult Sci. 2003;82:1313–8.

    Article  CAS  PubMed  Google Scholar 

  21. Shini S, Shini A, Huff GR. Effects of chronic and repeated corticosterone administration in rearing chickens on physiology, the onset of lay and egg production of hens. Physiol Behav. 2009;98:73–7.

    Article  CAS  PubMed  Google Scholar 

  22. Virden W, Thaxton J, Corzo A, Dozier W III. Evaluation of models using corticosterone and adrenocorticotropin to induce conditions mimicking physiological stress in commercial broilers. Poultry Sci. 2007;86:2485–91.

    Article  CAS  Google Scholar 

  23. MacMillan JL, Vicaretti SD, Noyovitz B, Xing X, Low KE, Inglis GD, Zaytsoff SJ, Boraston AB, Smith SP, Uwiera RR. Structural analysis of broiler chicken small intestinal mucin O-glycan modification by Clostridium perfringens. Poult Sci. 2019;98(10):5074–88.

    Article  PubMed  Google Scholar 

  24. Kaldhusdal M, Hofshagen M, Løvland A, Langstrand H, Redhead K. Necrotic enteritis challenge models with broiler chickens raised on litter: evaluation of preconditions, Clostridium perfringens strains and outcome variables. FEMS Immunol Med Microbiol. 1999;24:337–43.

    Article  CAS  PubMed  Google Scholar 

  25. Calefi AS, Quinteiro-Filho WM, de Siqueira A, Lima APN, Cruz DSG, Hazarbassanov NQ, Salvagni FA, Borsoi A, Gomes CO, Maiorka PC. Heat stress, Eimeria spp. and C. perfringens infections alone or in combination modify gut Th1/Th2 cytokine balance and avian necrotic enteritis pathogenesis. Vet Immunol Immunopathol. 2019;210:28–37.

    Article  CAS  Google Scholar 

  26. Cheung JK, Keyburn AL, Carter GP, Lanckriet AL, Van Immerseel F, Moore RJ, Rood JI. The VirSR two-component signal transduction system regulates NetB toxin production in Clostridium perfringens. Infect Immun. 2010;78:3064–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Deplancke B, Vidal O, Ganessunker D, Donovan SM, Mackie RI, Gaskins HR. Selective growth of mucolytic bacteria including Clostridium perfringens in a neonatal piglet model of total parenteral nutrition. Am J Clin Nutr. 2002;76:1117–25.

    Article  CAS  PubMed  Google Scholar 

  28. Kitessa SM, Nattrass GS, Forder RE, McGrice HA, Wu S-B, Hughes RJ. Mucin gene mRNA levels in broilers challenged with Eimeria and/or Clostridium perfringens. Avian Dis. 2014;58:408–14.

    Article  PubMed  Google Scholar 

  29. Du E, Wang W, Gan L, Li Z, Guo S, Guo Y. Effects of thymol and carvacrol supplementation on intestinal integrity and immune responses of broiler chickens challenged with Clostridium perfringens. J Anim Sci Biotechno. 2016;7:19.

    Article  CAS  Google Scholar 

  30. Amerongen AN, Bolscher J, Bloemena E, Veerman EC. Sulfomucins in the human body. Biol Chem. 1998;379:1–18.

    Article  Google Scholar 

  31. Brockhausen I. Sulphotransferases acting on mucin-type oligosaccharides. Biochem Soc Trans. 2003;31(2):318–25.

    Article  CAS  PubMed  Google Scholar 

  32. Huang Y-L, Chassard C, Hausmann M, Von Itzstein M, Hennet T. Sialic acid catabolism drives intestinal inflammation and microbial dysbiosis in mice. Nat Commun. 2015;6:8141.

    Article  CAS  PubMed  Google Scholar 

  33. Struwe WB, Gough R, Gallagher ME, Kenny DT, Carrington SD, Karlsson NG, Rudd PM. Identification of O-glycan structures from chicken intestinal mucins provides insight into Campylobactor jejuni pathogenicity. Mol Cellul Proteomics. 2015;14:1464–77.

    Article  CAS  Google Scholar 

  34. Veshnyakova A, Protze J, Rossa J, Blasig IE, Krause G, Piontek J. On the interaction of Clostridium perfringens enterotoxin with claudins. Toxins. 2010;2:1336–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Fischer A, Gluth M, Weege F, Pape U-F, Wiedenmann B, Baumgart DC, Theuring F. Glucocorticoids regulate barrier function and claudin expression in intestinal epithelial cells via MKP-1. Am J Physiol Gastrointest Liver Physiol. 2013;306:G218–28.

    Article  PubMed  CAS  Google Scholar 

  36. Mitchell LA, Overgaard CE, Ward C, Margulies SS, Koval M. Differential effects of claudin-3 and claudin-4 on alveolar epithelial barrier function. Am J Physiol Lung Cell Mol Physiol. 2011;301:L40–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Mukiza CN, Dubreuil JDJI. Immunity: Escherichia coli heat-stable toxin b impairs intestinal epithelial barrier function by altering tight junction proteins. Infect Immun. 2013;81:2819–27.

    Article  CAS  Google Scholar 

  38. Nusrat A, von Eichel-Streiber C, Turner J, Verkade P, Madara J, Parkos CJ. Immunity: Clostridium difficile toxins disrupt epithelial barrier function by altering membrane microdomain localization of tight junction proteins. Infect Immunity. 2001;69:1329–36.

    Article  CAS  Google Scholar 

  39. Osselaere A, Santos R, Hautekiet V, De Backer P, Chiers K, Ducatelle R, Croubels S. Deoxynivalenol impairs hepatic and intestinal gene expression of selected oxidative stress, tight junction and inflammation proteins in broiler chickens, but addition of an adsorbing agent shifts the effects to the distal parts of the small intestine. PLoS ONE. 2013;8:e69014.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Tsukita S, Furuse M. Occludin and claudins in tight-junction strands: leading or supporting players? Trends Cell Biol. 1999;9:268–73.

    Article  CAS  PubMed  Google Scholar 

  41. Cario E. Barrier-protective function of intestinal epithelial Toll-like receptor 2. Mucosal Immunol. 2008;1:S62–6.

    Article  CAS  PubMed  Google Scholar 

  42. Cario E, Gerken G, Podolsky D. Toll-like receptor 2 controls mucosal inflammation by regulating epithelial barrier function. Gastroenterology. 2007;132:1359–74.

    Article  CAS  PubMed  Google Scholar 

  43. Nerren JR, He H, Genovese K, Kogut MH. Expression of the avian-specific toll-like receptor 15 in chicken heterophils is mediated by gram-negative and gram-positive bacteria, but not TLR agonists. Vet Immunol Immunopathol. 2010;136:151–6.

    Article  CAS  PubMed  Google Scholar 

  44. Higgs R, Cormican P, Cahalane S, Allan B, Lloyd AT, Meade K, James T, Lynn DJ, Babiuk LA, O’Farrelly C. Induction of a novel chicken Toll-like receptor following Salmonella enterica serovar Typhimurium infection. Infect Immun. 2006;74:1692–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Lancaster GI, Khan Q, Drysdale P, Wallace F, Jeukendrup AE, Drayson MT, Gleeson M. The physiological regulation of toll-like receptor expression and function in humans. J Physiol. 2005;563:945–55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Quinteiro-Filho W, Calefi A, Cruz D, Aloia T, Zager A, Astolfi-Ferreira C, Ferreira JP, Sharif S, Palermo-Neto J. Heat stress decreases expression of the cytokines, avian β-defensins 4 and 6 and Toll-like receptor 2 in broiler chickens infected with Salmonella Enteritidis. Vet Immunol Immunopathol. 2017;186:19–28.

    Article  CAS  PubMed  Google Scholar 

  47. Cario E, Gerken G, Podolsky DK. Toll-like receptor 2 enhances ZO-1-associated intestinal epithelial barrier integrity via protein kinase C. Gastroenterology. 2004;127:224–38.

    Article  CAS  PubMed  Google Scholar 

  48. Huang T, Gao B, Chen W-L, Xiang R, Yuan M-G, Xu Z, Peng X-Y. Temporal effects of high fishmeal diet on gut microbiota and immune response in Clostridium perfringens-challenged chickens. Front Microbiol. 2018;9:2754.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Lee KW, Lillehoj HS, Jeong W, Jeoung HY, An DJ. Avian necrotic enteritis: experimental models, host immunity, pathogenesis, risk factors, and vaccine development. Poult Sci. 2011;90:1381–90.

    Article  CAS  PubMed  Google Scholar 

  50. Calefi AS, Honda BTB, Costola-de-Souza C, de Siqueira A, Namazu LB, Quinteiro-Filho WM, et al. Effects of long-term heat stress in an experimental model of avian necrotic enteritis. Poult Sci. 2014;93:1344–53.

    Article  CAS  PubMed  Google Scholar 

  51. Fasina YO, Lillehoj HS. Characterization of intestinal immune response to Clostridium perfringens infection in broiler chickens. Poult Sci. 2018;98:188–98.

    Article  PubMed Central  CAS  Google Scholar 

  52. Park SS, Lillehoj HS, Allen PC, Park DW, FitzCoy S, Bautista DA, Lillehoj EP. Immunopathology and cytokine responses in broiler chickens coinfected with Eimeria maxima and Clostridium perfringens with the use of an animal model of necrotic enteritis. Avian Dis. 2008;52:14–22.

    Article  PubMed  Google Scholar 

  53. John JL. The avian spleen: a neglected organ. Q Rev Biol. 1994;69:327–51.

    Article  CAS  PubMed  Google Scholar 

  54. Schat KA, Kaspers B, Kaiser P. Avian immunology. New York: Academic Press; 2012.

    Google Scholar 

  55. Hilton LS, Bean AG, Kimpton WG, Lowenthal JW. Interleukin-2 directly induces activation and proliferation of chicken T cells in vivo. J Interferon Cytokine. 2002;22:755–63.

    Article  CAS  Google Scholar 

  56. Gibson MS, Kaiser P, Fife M. Identification of chicken granulocyte colony-stimulating factor (G-CSF/CSF3): the previously described myelomonocytic growth factor is actually CSF3. J Interferon Cytokine. 2009;29:339–44.

    Article  CAS  Google Scholar 

  57. Hong YH, Song W, Lee S, Lillehoj H. Differential gene expression profiles of β-defensins in the crop, intestine, and spleen using a necrotic enteritis model in 2 commercial broiler chicken lines. Poult Sci. 2012;91:1081–8.

    Article  CAS  PubMed  Google Scholar 

  58. Compton MM, Gibbs PS, Johnson LR. Glucocorticoid activation of deoxyribonucleic acid degradation in bursal lymphocytes. Poult Sci. 1990;69:1292–8.

    Article  CAS  PubMed  Google Scholar 

  59. Zaytsoff SJ, Brown CL, Montina T, Metz GAM, Abbott DW, Uwiera RR, Inglis GD. Corticosterone-mediated physiological stress modulates hepatic lipid metabolism, metabolite profiles, and systemic responses in chickens. Sci Rep. 2019;9:19225.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Colditz I. Effects of the immune system on metabolism: implications for production and disease resistance in livestock. Livest Prod Sci. 2002;75:257–68.

    Article  Google Scholar 

  61. Jensen EC. Quantitative analysis of histological staining and fluorescence using ImageJ. Anatom Record. 2013;296:378–81.

    Article  Google Scholar 

  62. Huang Y, Mechref Y, Novotny MV. Microscale nonreductive release of O-linked glycans for subsequent analysis through MALDI mass spectrometry and capillary electrophoresis. Anal Chem. 2001;73:6063–9.

    Article  CAS  PubMed  Google Scholar 

  63. Vicaretti SD, Mohtarudin NA, Garner AM, Zandberg WF. Capillary electrophoresis analysis of bovine milk oligosaccharides permits an assessment of the influence of diet and the discovery of nine abundant sulfated analogues. J Agr Food Chem. 2018;66:8574–83.

    Article  CAS  Google Scholar 

  64. Danyluk HJ, Shum LK, Zandberg WF: A rapid procedure for the purification of 8-aminopyrene trisulfonate (APTS)-labeled glycans for capillary electrophoresis (CE)-based enzyme assays. In Protein-Carbohydrate Interactions. Springer; 2017. p. 223–36.

  65. Wylie AD, Zandberg WF. Quantitation of sialic acids in infant formulas by liquid chromatography–mass spectrometry: an assessment of different protein sources and discovery of new analogues. J Agr Food Chem. 2018;66:8114–23.

    Article  CAS  Google Scholar 

  66. Dubois M, Gilles KA, Hamilton JK. Rebers Pt, Smith F: Colorimetric method for determination of sugars and related substances. Anal Chem. 1956;28:350–6.

    Article  CAS  Google Scholar 

  67. Hellemans J, Mortier G, De Paepe A, Speleman F, Vandesompele J. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol. 2007;8:R19.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  68. Gholamiandehkordi AR, Timbermont L, Lanckriet A, Broeck WVD, Pedersen K, Dewulf J, Pasmans F, Haesebrouck F, Ducatelle R, Immerseel FV. Quantification of gut lesions in a subclinical necrotic enteritis model. Avian Pathol. 2007;36:375–82.

    Article  PubMed  Google Scholar 

  69. Quinteiro-Filho W, Gomes A, Pinheiro M, Ribeiro A, Ferraz-de-Paula V, Astolfi-Ferreira C, Ferreira A, Palermo-Neto J. Heat stress impairs performance and induces intestinal inflammation in broiler chickens infected with Salmonella Enteritidis. Avian Pathol. 2012;41:421–7.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the following individuals at Agriculture and Agri-Food Canada Lethbridge Research and Development Centre: Tara Shelton and Kaylie Graham for assistance with animal husbandry; and Jaclyn MacMillan for collecting and processing the mucus samples. We also thank John Prescott (Ontario Veterinary College, University of Guelph) for providing the isolate of C. perfringens (CP1) used in the study.

Funding

This work was supported by a grant from the Canadian Poultry Research Council (Poultry Science Cluster; 1373) to GDI, RREU, and DWA, and grants from the Alberta Chicken producers Alberta in partnership with the Alberta Livestock and Meat Agency (2014R061R) and the Canadian Glycomics Network (AM-1) to DWA, GDI, and RREU.

Author information

Authors and Affiliations

Authors

Contributions

DWA and GDI obtained funding; GDI obtained animal care and biosafety approvals, and provided infrastructure (animal and laboratory) and personnel support; SJMZ and GDI conceptualized the study and designed the experiments; SJMZ performed the experiments; RREU scored histopathologic changes; SML, AMG, and WFZ conducted glycan metrics, analyzed the glycan data, and generated glycan figures; SJMZ and GDI completed statistical analyses (with the exception of the analysis of glycan data); SJMZ interpreted results of experiments and prepared figures; SJMZ and GDI prepared the initial draft of the manuscript; DWA, SML, AMG, WFZ and RREU revised the manuscript; SJMZ and GDI completed minor revisions of the manuscript based on the recommendations of the peer reviewers. All authors read and approved the final manuscript.

Corresponding author

Correspondence to G. Douglas Inglis.

Ethics declarations

Ethics approval and consent to participate

The study was carried out in strict accordance with the recommendations specified in the Canadian Council on Animal Care Guidelines. The project was reviewed and approved by the Lethbridge Research and Development Centre (LeRDC) Animal Care Committee (Animal Use Protocol Review #1707), and the LeRDC Biological and Biosecurity Committee before commencement of the research.

Consent for publication

Not applicable.

Competing interests

The authors declare no financial or competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

Additional figures.

Additional file 2.

Additional tables.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zaytsoff, S.J.M., Lyons, S.M., Garner, A.M. et al. Host responses to Clostridium perfringens challenge in a chicken model of chronic stress. Gut Pathog 12, 24 (2020). https://doi.org/10.1186/s13099-020-00362-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13099-020-00362-9

Keywords