INTRODUCTION
Immediate post-weaning is a critical phase for weaning piglets because of the transition from a liquid (milk) to a solid diet while the gastrointestinal tract (GIT) and immune system are immature. Furthermore, other stressing factor such as sow separation, transportation, and new social and environmental interactions can be additional challenges for weaning piglets.
The occurrence of intestinal disorders that affect growth performance is common in weaning piglets. This can be aggravated by the prevalence of pathogenic microorganisms [
1]. To alleviate these disorders and optimize animal productivity, sub-therapeutic doses of antimicrobials are added to diets continuously acting as performance-enhancing antibiotics. Conversely, the wide use of performance-enhancing antibiotics (PEA) in animal production coupled with the possible presence of their residues in animal food and in the environment has become a great concern. This is based on the emergence of resistant bacteria with the potential to cause diseases in animals and humans [
2].
The use of some antimicrobials as PEA has been banned as food additives throughout the European Union on January 1st, 2006. This has led to the use of other still permitted, such as enramycin, a polypeptide produced during
Streptomyces fungidicus fermentation. It has antibiotic action against gram-positive bacteria, such as
Clostridium perfringens [
3]. Even so, there is strong pressure for a complete prohibition of PEA use and hence research has focused on studying alternative substances, among which are phytogenic feed additives. These are plant-derived substances that can be classified according to their origin or processing [
4].
Essential oils (EO) are phytogenic substances composed of volatile and lipophilic compounds. Essential oils can be extracted from plants through different processes, such as cold expression or steam distillation [
4]. These additives have antimicrobial potential due to their ability to change the structure of bacteria cell membranes. Because of their hydrophobic characteristic, EO can associate with proteins present in the membrane and change their functions, affecting cell permeability and resulting in loss of viability. Essential oils are also able to positively affect immune response through modulation of the activity of cellular proteins responsible for releasing inflammatory molecules. Phenolic compounds present in EO can contribute to the body’s antioxidant system through the upregulation of signaling pathways involved in the expression of antioxidant enzymes. Furthermore, EO have been previously reported to increase digestive enzymes secretion in GIT epithelium [
5].
Essential oils in their free form when orally administered are rapidly absorbed in GIT (mainly stomach and proximal small intestine). Encapsulated EO can show a slower rate of absorption. Once in the bloodstream, EO by-passe body tissues and most are metabolized by kidneys and excreted in the urine, with a half life of approximately two hours. Thus, there is little possibility of accumulation in animal tissues [
6].
There is a wide variety of EO that can be extracted from plants, each with its biological singularity, but few studies have focused on the combinations of more than a couple of isolated compounds. Therefore, we hypothesized that an administration of an EO blend (EOB) (up to 400 mg/kg diet) as an alternative for conventional PEA improves the response of pigs and hence decreases diarrhea, increases liver antioxidant capacity, and growth performance. Based on this line of reasoning, this study was conducted to assess the effects of different doses of EOB on growth performance, diarrhea occurrence (DO), hematological and blood biochemical profile, intestinal morphometry, morphology and microbiology, relative weight and length of organs, digestive content pH, and liver antioxidant status in weaning piglets.
MATERIALS AND METHODS
The study was conducted in the swine center of the experimental farm (Professor Antônio Carlos dos Santos Pessoa) belonging to Unioeste, Brazil.
Animal care
All animal procedures were approved by the Ethics Committee on the Use of Animals in Experimentation at the Universidade Estadual do Oeste do Paraná - Unioeste (protocol no. 02/2020-CEUAP).
Animals, experimental design, and housing
A total of 135 crossbreed barrow piglets (Landrace×Large White, Agroceres♂ and DanBred♀) weaned at 25 d were used. Initial body weight (BW) was 7.09±0.29 kg. Pigs were allotted randomly to one of the five treatments in a randomized complete block design with three replications in each of three batches over time resulting in a total to nine replicates per treatment and three animals per pen.
Pigs were weighed, identified with an ear tag, and housed in a masonry nursery room with raised slatted plastic floor pens (1.5 m2) equipped with gutter feeders and nipple drinkers. Pens were washed daily (in the afternoon) with running water. The experiment lasted 42 d.
Experimental diets
Dietary treatments were as follows: negative control (NC): basal diet; positive control (PC): negative control plus 125 mg PEA (enramycin 8%)/kg diet; negative control plus 100 mg EOB/kg diet (EO100); negative control plus 200 mg EOB/kg diet (EO200); and negative control plus 400 mg EOB/kg diet (EO400;
Table 1).
The EOB was a non-encapsulated commercially available product (Tectron, Toledo, PR, Brazil) containing 10% thymol, 10% cinnamaldehyde, 10% d-limonene, 7.5% carvacrol, and 62.5% rice bran. Performance-enhancing antibiotic and EOB were added to diets replacing ground corn to keep similar nutritional composition among treatments.
All diets were corn and soybean meal-based and were offered as mash. Diets were divided into four phases (pre-starter I, pre-starter II, starter I, and starter II) and formulated taking into account the nutritional requirements limits proposed by Rostagno et al [
7]. Pigs were allowed
ad libitum access to feed and water throughout the experiment.
Samples of basal diets were analyzed (
Table 2) for moisture (method 53), ether extract (method 12), crude fiber (method 18), acid detergent fiber (method 19), neutral detergent fiber (method 20), ash content (method 05), total lactose (method 24), crude protein (method 47), total calcium (method 04), and total phosphorus (method 23), as previously described by Nogueira et al [
8].
Growth performance and diarrhea occurrence
The average final BW (kg), the average daily gain (ADG, g/d), the average daily feed intake (ADFI, g/d), and gain to feed ratio (G:F, g/g) were evaluated to address growth performance. Pigs were weighed (UL-50 Digital Scale; DIGI-TRON, Curitiba, Brazil) at the beginning and the end of each phase, as well as the feed offered and leftovers. Average daily gain was determined by the difference between initial and final BW divided by the days of each phase. Average daily feed intake was calculated by subtracting the leftovers from the amount of feed offered in each phase. Gain to feed ratio was calculated by dividing ADG by ADFI.
Diarrhea occurrence was observed throughout the experiment. Feces of animals from each treatment were scored daily (1000 h) on a 4-point scale (0 = formed feces, 1 = soft feces, 2 = semi-solid feces, and 3 = liquid feces) as previously described by Huang et al [
9]. Data on fecal scores were transformed into binary traits as follows: 0 = no diarrhea (fecal scores = 0 and 1) and 1 = presence of diarrhea (fecal scores = 2 and 3). The frequency of DO in each phase was calculated by dividing the sum of DO by the total number of observations in each treatment and then multiplying by 100%. Results were expressed as observed percent (%).
Hematological and blood biochemical profile
At the end of pre-starter II and starter II, 18 pigs per treatment were selected for blood collection based on the closest BW relative to the average BW in each experimental unit.
Pigs fasted for 10 h and then blood samples (≅ 20 mL) were withdrawn from vena cava (0800 h) using 0.70×30 mm needles. Blood was collected in tubes containing ethylenediaminetetraacetic acid for determination of complete blood count, potassium fluoride for determination of glucose (GLU), heparin for determination of urea (URE), alanine aminotransferase (ALT), and alkaline phosphatase (AP). Tubes with no anticoagulant were used for the determination of albumin (ALB) and total protein (TP). Blood samples were placed on ice inside of a cooler (4°C) to be sent to the laboratory.
The complete blood count was determined in the laboratory of the veterinary hospital at Universidade Federal do Paraná (Palotina, PR, Brazil) using an automated hematology analyzer (BS 120; Mindray, Shenzhen, China). Erythrocytes (ER), hemoglobin (HG), hematocrit (HT), total leucocytes, segmented neutrophils, band cells, eosinophils, basophils, lymphocytes, monocytes, platelets, plasma protein (PP), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration were determined.
Samples for biochemical evaluation were centrifuged at 3,000 g (80-2B; Centrilab, Hangzhou, China) for 10 minutes at the blood analysis laboratory of Unioeste. Then, approximately 3 mL of supernatants were collected and duplicates were stored in microtubes at −20°C. Albumin and TP were analyzed via colorimetry, ALT via the kinetic method, and AP, URE, and GLU via enzymatic-colorimetry, using commercial kits (Gold Analisa Diagnóstica Ltda., Belo Horizonte, Brazil) and a Bel SPECTRO S05 spectrophotometer (Bel Engineering, Monza, Italy).
Intestinal microbiology
At the end of the experimental period (42 d), six piglets per treatment were slaughtered for GIT sampling. Pigs were selected based on the closest BW relative to the final average BW of all replicates. Pigs were slaughtered in a commercial abattoir after fasting for approximately 10 hours. All euthanasia procedures were performed by electronarcosis following Brazilian guidelines (Resolution No. 37 of February 15, 2018, CONCEA).
Samples of jejunum, ileum, and colon contents were collected and individually placed in sterile plastic containers. Then, at the microbiology lab from Unioeste, 1 g of each sample was serially diluted in 1% peptone water. Each dilution was vortexed (K45-2810; KASVI, Taizhou, China) for 30 seconds. A 100 μL aliquot of each diluted sample was spread evenly on the surface of eosin-methylene blue agar plates for Enterobacteriaceae (ETB) counting. A 1 mL of diluted sample was inoculated on tryptose-sulfite-cycloserine and de Man, Rogosa and Sharpe agar plates for sulfite-reducing clostridia (SRC) and lactic acid bacteria (LAB) counting, respectively.
Then, plates were incubated at 37ºC (EL 202; Eletrolab, São Paulo, Brazil) aerobically for 24 h (ETB) and anaerobically for 48 h (SRC and LAB) as previously described by Da Silva et al [
10]. After incubation, bacterial colonies were counted and data were multiplied by the respective dilution and log-transformed (Log
10). Results were expressed in log colony forming unit/g.
Intestinal morphometry and morphology
Samples (≅ 3 cm) of jejunum (150 cm cranial to ileocecal junction), ileum (15 cm cranial to ileocecal junction), and colon (100 cm caudal to ileocecal junction) were taken. Fragments collected were washed with saline (0.9% sodium chloride) and stored in sterilized plastic containers with a 10% buffered formalin solution.
Samples were sent to a commercial laboratory (Mercolab, Cascavel, PR, Brazil) where they were processed in paraffin, and stained with hematoxylin and eosin to prepare slides as previously reported by Prophet et al [
11]. A total of 10 villus height (VH) and their crypt depth (CD) were measured. Then, VH to CD ratio was calculated as previously described by Kisielinski et al [
12]. Intestinal morphology was also assessed via infiltrate, congestion, desquamation, coccidiosis, bacterial lumps, band cells, cysts, mucus, necrosis, and edema observations as previously described by Kraieski et al [
13]. Histological analyses were performed using an optical microscope (CX31RTSF; Olympus, Tokyo, Japan) and a computer system (ToupView ×86).
Relative weight and length of organs and pH of the digestive contents
After slaughter, the contents of the stomach, jejunum, ileum, cecum, and colon of the pigs were sampled and stored in plastic containers. Then, pH was measured using a digital pH meter (TEC-2 mp; TECNAL, Piracicaba, Brazil).
The liver and gallbladder, heart, spleen, kidneys, empty stomach, small intestine (duodenum, jejunum, and ileum), and large intestine (cecum, colon, and rectum) were weighed using a digital scale (MX-111; Maxon, Beijing, China). Relative organ weight to final BW was then calculated. Small and large intestine length was measured using a measuring tape.
Liver antioxidant status
Liver samples (≅ 2 g) were collected in microtubes and immediately placed in cold chamber at −20°C for further storage in ultrafreezer (CL580-86V; ColdLab, Piracicaba, Brazil) at −80°C. Samples were then shipped to a commercial laboratory (Imunova, Curitiba, Brazil) in a cooler with solid carbon dioxide (−60°C) to be analyzed for glutathione peptide (GSH), liver protein (LP), and enzymes: glutathione S-transferase (GST), superoxide dismutase (SOD), and catalase (CAT).
Liver samples were homogenized in potassium phosphate buffer solution (pH 6.5) with 10-fold dilution for GSH, SOD, CAT, and LP analyses, or 30-fold dilution for GST analysis. Samples were then centrifuged (NT 805; Nova Técnica, Piracicaba, Brazil) at 10,000 g at 4°C for 20 min.
The activity of CAT was measured as previously described by Aebi [
14]. Briefly, the reaction was performed using 5 mM hydrogen peroxide and 50 mM phosphate buffer (pH 7.0) solution with the cytosolic protein. The reaction was continuously monitored at 240 nm for 60 sec using a microplate reader (Synergy HT; Biotek, Winooski, VT, USA). The extinction coefficient was 41 mM/cm.
Superoxide dismutase activity was determined based on inhibition of the autoxidation of pyrogallol [
15]. Briefly, samples (60 μL) were diluted in 1,327.5 μL Tris-HCl buffer (0.4 M, pH 8.9) and vortexed (QL-901; Biomixer, Rancho Cucamonga, CA, USA). Then, 75 μL of pyrogallol (15 mM) were added to diluted samples and incubated for 30 min at room temperature. The reaction was stopped by adding 37.5 μL HCl (1 N) and then absorbance was measured at 440 nm using the microplate reader. The amount of enzyme that inhibited the reaction by 50% was defined as one unit of SOD. The enzyme activity was expressed as SOD unities per milligram of total LP (SOD U/mg of LP).
Glutathione S-transferase analysis was performed by adding 200 μL of a solution (containing 3 mM 1-chloro-2,4-dinitrobenzene (CDNB), diluted in ethanol, and 3 mM GSH, diluted in potassium phosphate buffer) to 100 μL of sample supernatant. The linear increase of absorbance at 340 nm was monitored using an extinction coefficient of 9.6 mmolar/cm. Glutathione S-transferase catalyzes the conjugation of CDNB to GSH (reduced glutathione). The product of this reaction is a thioether that can be monitored by the increase in absorbance, as previously described by Habig et al [
16].
Glutathione peptide concentration was measured by the method of Sedlak and Lindsay [
17]. Briefly, 80 μL of trichloroacetic acid (12.5%) was added to 100 μL of the sample homogenate and centrifuged at 6,000
g at 4°C for 15 min. Then, 20 μL of the supernatant was mixed with 280 μL of Tris-HCl buffer (0.4 M, pH 8.9) and 5 μL of 5,5′-dithiobi-2-nitrobenzoic acid in methanol. Absorbance was measured at 415 nm using the microplate reader. A known GSH concentration solution was used as an external standard.
Liver protein was determined using bovine ALB as a standard as previously described by Bradford [
18]. Briefly, 10 μL of the sample was added to 250 μL of Bradford solution in each microplate well. Absorbance was measured at 595 nm using the microplate reader. The LP results were used to calculate the previous liver variables and were expressed as mg of protein in liver homogenates.
Statistical analysis
Statistical analyzes were performed using the SAS University Edition software (SAS Inst. Inc., Cary, NC, USA). Residual error was evaluated for outliers based on the normal distribution curve via the Student test (RStudent). If studentized residuals met or exceeded three standard deviations, the sample was considered significant.
The normality of experimental errors and the homogeneity of variances among treatments were evaluated using Shapiro-Wilk and Levene tests, respectively. The non-influence (p>0.05) of treatments on the initial BW of the piglets, for indication as a covariate and correction of observed average values, was verified via analysis of variance (ANOVA).
Data on growth performance, blood biochemical profile, intestinal morphometry and microbiology, liver antioxidant status, relative weight and length of organs, and pH of the digestive content were analyzed via analysis of covariance or ANOVA. The model included treatment as a fixed effect and block and residual error as a random effect with an individual pen as the experimental unit. The factors included in the model used were Yijk = μ+Ti+bj+β (X̄ijk...)+ɛijk, in which Yijk = average observation of the dependent variable in each plot, measured in the i-th treatment, in the j-th block and in the k-th replication; μ = effect of the overall average; Ti = effect of class of treatment, for i = (1, 2, 3, 4, and 5); bj = effect of block classes, for j = (1, 2, and 3); β = regression coefficient of Y about X; Xijk = average observation of the covariate (initial BW) in each plot, measured in i-th treatment class, in j-th block class and in k-th replication; X̄... = overall average for the covariate X; ɛijk = random error of the plot associated with level i, block j, and replication k.
A generalized linear model was fitted for each distribution and linkage function to analyze data on DO, intestinal morphology, and hematological profile. The treatment effect was verified via type III analysis. The Akaike information criteria was used to test the model fitting. Generalized linear model used was represented by the systematic portion: η = μ+Ti+bj, wherein μ was the effect associated with the overall average; Ti was the effect associated with i-th treatment class, for i = (1, 2, 3, 4, and 5) and bj was the effect associated with j-th block, for j = (1, 2, and 3).
The Student-Newman-Keuls test was used to compare pairs of treatment averages for growth performance, blood biochemical profile, intestinal morphometry and microbiology, liver antioxidant status, relative weight and length of organs, and pH of the digestive content. The Tukey-Kramer test was used to compare the averages for DO, intestinal morphology, and hematological profile. Significant differences were set at p<0.05. Results were reported as means with pooled standard error of the mean.