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ORIGINAL RESEARCH article

Front. Vet. Sci., 10 May 2024
Sec. Animal Nutrition and Metabolism
This article is part of the Research Topic Functional Nutritional Strategies as Alternatives to Antimicrobials View all 19 articles

Microencapsulated essential oils alleviate diarrhea in weaned piglets by modulating the intestinal microbial barrier as well as not inducing antibiotic resistance: a field research

Xianbin Xu&#x;Xianbin Xu1Kaibin Mo&#x;Kaibin Mo1Can CuiCan Cui1Yanhua LanYanhua Lan1Lifang LingLifang Ling1Jinxia XuJinxia Xu1Li Li
Li Li2*Xianhui Huang
Xianhui Huang1*
  • 1Guangdong Key Laboratory for Veterinary Drug Development and Safety Evaluation, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
  • 2College of Animal Science, South China Agricultural University, Guangzhou, China

Microencapsulated essential oils (MEO)have been used as antibiotic alternatives that can be applied to alleviate diarrhea in weaning piglet. We examined a large group of weaned piglets and incorporated essential oil containing thymol (2%), carvacrol (5%) and cinnamaldehyde (3%) in the feed of weaned piglets on an intensive production farm. The piglets were divided into four groups; Control (no additions) and chlortetracycline (Chl), essential oil (EO) and microencapsulated essential oil (MEO) were fed ad libitum over a 28-day trial period. We found MEO significantly reduced the incidence of diarrhea in the piglets that was also accompanied by increased average daily weight gains from days 14–28 (p < 0.05). MEO enhanced the antioxidant capacity in the piglets and serum total antioxidant capacity (T-AOC) and glutathione peroxidase (GSH-px) levels were significantly increased (p < 0.05). MEO also significantly reduced expression of genes related to ileal inflammation (IL-6, TNF-α and TGF-β1) (p < 0.05) and significantly (p < 0.05) increased in sIgA antibody levels. MEO influenced the composition of the intestinal microbiome and reduced Bacteroidota (p < 0.05) and thus altered the Firmicutes/Bacteroidota ratio. However, none of the treatments produced significant changes in the most common tetracycline resistance genes (p > 0.05). Metagenomic analysis indicated that MEO impacted DNA expression, virulence factors, antioxidant activity and antimicrobial activity. Metabolomic analysis of the intestinal content also indicated that MEO impacted tyrosine metabolism and primary bile acid biosynthesis suggesting improved intestinal health and nutrient absorption. This study paves the way for further research into the development and optimization of MEO-based interventions aimed at improving piglet health and performance while also providing a reference for reducing reliance on antibiotics in animal agriculture.

1 Introduction

Weaning diarrhea found in piglets is a common and significant economic issue in agricultural production since these animals exhibit slow growth, and both decreased feed efficiency and survival (1). The abrupt diet alterations necessary for weaning coupled with an immature intestine result in disorder of the intestinal microbiota leading to damage of intestinal barriers that triggers diarrhea (2). At a microscopic level, weaned piglets display insufficient secretion of digestive enzymes in the gastrointestinal tract and this hinders solid food digestion (3). This process also damages cellular tight junctions (4), reduces mucin production (5) that both lead to increases intestinal permeability (6). These processes also alter the intestinal microbiota (7) that can allow for invasion by pathogenic microbes (8) that can set up an inflammatory process (9) that further exacerbates barrier dysfunction at the intestinal mucosa.

The modern era of restricted or even prohibited use of antibiotics in feed supplements has necessitated the search for alternatives to maintain animal intestinal health (10). Plant essential oils including natural bioactive compounds have exhibited antimicrobial, anti-inflammatory antioxidant even anti-tumor activities (11). The inclusion of plant essential oils and organic acids into the weaning diet can decrease intestinal inflammation and reduce diarrhea, positively impact cellular and humoral immunity, improve intestinal morphology and antioxidant capacity of the ileal mucosa leading to a balanced cecal microbiota (1214). In particular, experiments that involve addition of thymol, cinnamaldehyde and enzyme mixtures to piglet diets decreased expression of ileal inflammatory biomarkers and decreased diathermal incidence (15). However, these types of essential oils are unstable and procedures such as microencapsulation are necessary to ensure activity is maintained during transit through the gastrointestinal tract and provides the added benefit of enhancing palatability (16). Microencapsulated essential oils given to weaning piglets can significantly alleviate intestinal oxidative stress and inflammation and overall positively affect growth performance and intestinal integrity (17).

Previous studies have demonstrated that microencapsulated essential oils (MEO) consisting of carvacrol, thymol and cinnamaldehyde reduce the occurrence of diarrhea after weaning and promote growth performance. These benefits were observed utilizing piglets fed individually in separate experimental replicates and this protocol represented an incomplete growth environment (18). The current study was performed to expand the results of that study using increased sample sizes and explored MEO influences on piglet intestinal barrier function using a field research. Additionally, our study endeavored to determine whether MEO can alter the microbiome and whether this is accompanied by changes in antibiotic resistance of intestinal bacteria.

2 Materials and methods

2.1 Dietary supplement preparation

Chlortetracycline (Chl), normal essential oils (EO) and microencapsulated essential oils (MEO) were all provided by Jinhe Biotechnology, China. Chlortetracycline was in granular form (10%) and EO and MEO equally contained 2% thymol, 5% carvacrol and 3% cinnamaldehyde.

2.2 Animals, grouping and treatment

A total of 288 weaned piglets with consistent health status and genetic background, half male and half female and were randomly divided into four groups and fed identical NRC standard pig farm formulation (19) modified as follows: Control no additions; Chl, EO and MEO added at 100 mg/kg each. There were 6 replicates per group and each replicate housed 12 piglets in one pen (4 × 3 m). The experiment lasted for 28 days and was conducted on an intensive farm (Guanghui Agriculture and Animal Husbandry, China). During the experiment, the piglets had free access to water and feed and the temperature inside the pens were maintained at 27 ± 3°C.

Piglet weights and feed consumption was measured on days 1, 14 and 28 of the experiment. The presence of diarrhea, average daily gain (ADG), average daily feed intake (ADFI) and the feed/gain ratio (F/G) were calculated as previously described study (20).

2.3 Sample collection

On days 14 and 28, two healthy piglets with body weights close to the average were selected from each replicate (12 per group) and 5 mL blood was collected and serum was obtained after centrifugation and stored at −20°C until analysis. Immediately following the last blood collection on day 28, two piglets per replicate were euthanized. The duodenum, middle jejunum and middle ileum were stored in 4% formaldehyde while the jejunum mucosa, ileum mucosa and colonic content were snap-frozen in liquid nitrogen and stored at −80°C for further analysis as previously described (18). Additionally, we collected samples from the colonic contents for bacterial culture using sterile swabs, and preserved in 4°C. The culture process was performed within 18 h after the samples were collected.

2.4 Serum biomarkers analysis

Total antioxidant capacity (T-AOC), and glutathione peroxidase (GSH-Px) activities in serum were determined with commercial reagent kits (Nanjing Jiancheng Bioengineering Institute, China) and Microplate reader (PerkinElmer, United States).

2.5 Intestinal morphology analysis

Hematoxylin and eosin (H&E) stained slides were made as previously described (18) and observed and photographed using a slide scanning system (3D Histech, Hungary). For analysis, 10 villi and crypts were randomly selected in each photo to measure villus height (VH) and crypt depth (CD), and to calculate the villus height to crypt depth ratio (VH/CD).

2.6 Intestinal barrier biomarkers analysis

Target gene biomarkers in the jejunum and ileum mucosa included MUC2, occludin, claudin-1, zonula occludens tight junction protein-1 (ZO-1), interleukins (IL) IL-1β, IL-6 and IL-10, tumor necrosis factor α (TNF-α), interferon (IFN-γ) and transforming growth factor (TGF-β1). The CT scores for these genes were normalized to the internal reference gene GAPDH (Supplementary Table S1). RNA extraction of homogenized tissues and reverse transcription and qualification methods were performed as previously described (18).

Total protein, secretory immunoglobulin A (sIgA) and intestinal trefoil factor (ITF) levels in the jejunum and ileum mucosa were quantified using a commercial BCA reagent kit (Sangon Biotech, China) and ELISA kits (Jiangsu Meimian Industry, China). The data were normalized to the total protein concentration during analysis.

2.7 Analysis of tetracycline resistance genes from intestinal Escherichia coli

Colon contents samples (1 g) were cultured in Luria-Bertani (LB) broth at 37°C for 18 h then plated on MacConkey agar. Escherichia coli were identified as red colonies that were then cultured in LB broth for another 18 h. Bacterial DNA was extracted using a commercial Total DNA extraction kit (TransGen Biotech, China). DNA amplification was performed using a commercial qPCR reagent kit (Vazyme Biotech, China) in CFX96 Real-Time PCR Detection System (Bio-Rad Laboratories, United States) to determine DNA copy levels of the Tet-resistance genes tetA, tetB, tetC, tetM, tetO and tetW. Data were normalized to 16S rDNA (Supplementary Table S2). Gene amplicon quality was assessed vis melting curve analysis to ensure single amplicon (Supplementary Figure S8).

2.8 Intestinal DNA analysis

Metagenome analysis of microbiome DNA was carried out using 6 random samples per group and genomic DNA was extracted using the DNeasy PowerSoil Kit (Qiagen, Netherlands) and assessed for quality using agarose gel electrophoresis of 20–60 ng samples (Supplementary Figure S1).

High-throughput metagenomic sequencing was conducted on the Illumina platform (Illumina, United States) by Personal Biotech, China using a PE150 whole-genome shotgun strategy that resulted in high-quality reads with host contamination removed. Gene prediction and annotation were conducted using the GTDB database as previously described (21, 22). All annotated genes expressed as transcripts per kilobase per million mapped reads (TPM) that indicated the proportion of a particular gene present in the total gene abundance multiplied by a million. Gene functions were annotated using databases including KEGG, eggNOG, GO, CAZy, CARD, Metacyc, MCycDB, PCycDB, NCycDB, SCycDB, Pfam, PHI, VFDB, Swiss-Prot.

Alpha-diversity and beta-diversity based on Bray–Curtis distances as well as species differential analysis were performed using QIIME II software (23) that included principal component analysis (PCA). Venn diagrams and LEfSe (LDA Effect Size) differential analysis were generated with R software 4.33 (24).

2.9 Intestinal metabolite extraction and analysis

Metabolites in the colonic contents were extracted with methanol and quantified using an ultra-high performance liquid chromatography/mass spectrometry (UHPLC-MS) system (25) on a Thermo Vanquish (Thermo Fisher Scientific, United States) as previously detailed (26) and a Thermo Orbitrap Exploris 120 mass spectrometer (Thermo Fisher) using data collection from both positive and negative ion modes as previously described (27).

PCA and orthogonal partial least squares discriminant analysis (OPLS-DA) were conducted in R software to analyze and screen metabolites. Potential biomarkers were selected based on VIP scores >1 in OPLS-DA. Simultaneously, metabolites were screened further and those with FC >2 and p-value <0.05 in student’s t-test were selected.

Differential metabolites from optimized data underwent substance enrichment analysis in R software with reference to the KEGG database to determine host pig metabolic pathways.

2.10 Statistical analysis

All data not were computed and analyzed using Excel (Microsoft, United States) and SPSS software 25.0 (IBM, United States). Differences in multi-group data were analyzed using one-way ANOVA and between two groups using student’s t-test. A p-value <0.05 was considered statistically significant. The bar graphs were generated by Prism 8 (GraphPad, United States). PCR gene expression values were normalized using the 2−ΔΔCt method.

3 Results

3.1 Growth performance

Our experimental diets containing MEO significantly (p < 0.05) reduced the incidence of diarrhea for days 1–14 when compared to the Control group. In addition, MEO increased the average daily gain (ADG) for days 15–28 (p < 0.05) and the Feed/Gain ratio (F/G) across the entire growth period (days 1–28) (p < 0.05) (Table 1).

Table 1
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Table 1. Effects of MEO supplementation on the grow performance.

3.2 Serum antioxidant levels

The MEO and EO groups also displayed significantly increased levels of serum GSH-px (day 14, p < 0.001; day 28, p < 0.001) (Figure 1A). This was also positively correlated with the T-AOC in the MEO group that increased significantly (day 14, p < 0.001) (Figure 1B).

Figure 1
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Figure 1. Effects of MEO supplementation on the serum antioxidant and immune biomarkers. (A) GSH-px (B) T-AOC. Data are represented as means ± SEM, n = 12 per group. a,bValues with different letters were significantly different (p < 0.05). Diets are listed in the Materials and methods section.

3.3 Intestinal physical and chemical barrier biomarkers

We also examined histological sections of the duodenum, jejunum and ileum from our experimental animals. We could find no visible damage for either the control or experimental groups (Figure 2). Interestingly, jejunal villus height was significantly (p = 0.003) increased in the MEO and EO groups compared with the control (Table 2).

Figure 2
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Figure 2. Effects of MEO supplementation on the intestinal morphology in weaning piglets. H&E staining of mucosal sections from the duodenum, jejunum, and ileum as indicated (magnification 5×).

Table 2
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Table 2. Effects of MEO supplementation on the intestinal epithelial tissue.

However, the MEO did not significantly (p > 0.05) alter intestinal physical barrier indicators of the intestine (Figures 3A,B). In particular, MUC2 expression levels and ITF protein concentrations between the control and other treatment groups were not significantly (p > 0.05) different (Figures 3C,D).

Figure 3
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Figure 3. Effects of MEO supplementation on the intestinal physical barrier biomarkers. Relative expression levels of OCCN, CLDN-1 and ZO-1 in the (A) ileum and (B) jejunum (C) ITF protein levels in jejunal and ileal tissues (D) Relative expression of MUC in the ileum and jejunum. Data are represented as means ± SEM, n = 12 per group.

3.4 Intestinal immune barrier biomarkers

We also examined the expression of intestinal inflammatory biomarkers in our experimental animals to assess whether our treatments could alter intestinal inflammation. Compared to the Control group, the MEO, EO and Chl group displayed significantly reduced expression of inflammatory biomarkers IL-6 (p < 0.05), TNF-α (p < 0.05) and TGF-β1 (p < 0.05) in the ileum of weaned piglets (Figure 4A). However, there were no significant difference observed in jejunum (Figure 4B). Additionally, the MEO and EO groups displayed significant (p = 0.017) increases in the levels of sIgA protein in the ileum (Figure 4C).

Figure 4
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Figure 4. Effects of MEO supplementation on the intestinal immune barrier biomarkers. Relative mRNA expression levels of IL-1β, IL-6, IL-10, TNF-α, IFN-γ and TGF-β1 in the (A) ileum and (B) jejunum. (C) sIgA protein levels in jejunal and ileal tissue. Data are represented as means ± SEM, n = 12 per group. a,bValues with different letters were significantly different (p < 0.05).

3.5 Intestinal microbial barriers

3.5.1 Intestinal microbial species

The microbial species composition of the colonic content indicated that the phyla Firmicutes A and Bacteroidetes dominated accounting for 86.67–89.53% of the total abundance. The 10 most abundant phyla in terms of relative abundance had a similar proportion structure among all groups. For instance, compared to the controls, the MEO group had an 8.59% increase in the average abundance of Firmicutes A and a 10.17% decrease in the average abundance of Bacteroidota that increased the Firmicutes / Bacteroidota (F/B) ratio Pathogenic phyla including Spirochaetota, Actinobacteriota, and Proteobacteria accounted for <5% of the total abundance for all four groups. Interestingly, Bacteroidota abundance significantly decreased in the MEO group and indicated that MEO directly influenced the intestinal microbiota. In contrast, this effect was not present in the EO and Chl groups (Figure 5A). In addition, the MEO group displayed a significant decrease in Prevotella and a significant (p < 0.05) increase in Sodaliphilus (both phylum Bacteroidota) and CAG-83 and CAG-103 genera (phylum Firmicutes A). Also, we did not observe and differential genera in the EO and Chl groups (Figure 5B).

Figure 5
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Figure 5. Effects of MEO supplementation on the intestinal microbial species. (A) Average relative abundance of colonic microbiota at the phylum level. (B) Average relative abundance of colonic microbiota at the genus level. (C) α-diversity indices among experimental groups. (D) PCA analysis at the phylum level of colonic microbiota. (E) LEfSe taxonomic cladogram depicting scores contributing to species differences and the relationship of differential species from the phylum to the genus level.

3.5.2 Intestinal microbial α- and β-diversity

Our experimental groups were also analyzed for α-diversity and no significant differences between groups were found (Figure 5C). PCA analysis at the phylum level revealed differences between the control and MEO groups (Figure 5D). The LEfSe cladogram also indicated the presence of differential species between the control and MEO groups (Figure 5E). In particular, some of these taxons were significantly reduced in the MEO group and included 10 species across 4 genera in the under Bacteroidota phylum; Prevotella, Parabacteroides, RF16 and CAG 485 along with two species across three genera in the Firmicutes A phylum; Evtepia, Frisingicoccus and Oliverpabstia. Species that were significantly increased included one species of Sodaliphilus genus (Bacteroidota) and 5e species across four genera (Firmicutes A); Firm 10, CAG-632, CAG-177 and CAG-103.

3.5.3 Intestinal microbial functional genes

We also examined for the presence of functional genes in the microbiomes of our experimental animals. The MEO group (versus control) displayed significant differences in functional genes for DNA expression, virulence factors, antioxidant activity and antimicrobial activity. Differential genes linked to DNA expression were ko00970 (aminoacyl-tRNA biosynthesis), DNA-directed DNA polymerase, DNA-directed RNA polymerase. Virulence factor genes included VF0171 (LPS) and VF0323 (capsule) and antioxidant genes classified under GO:0016209 and for GH25 (lysozyme). Additionally, genes for glycogen biosynthesis (MetaCyc database) were significantly decreased for the EO and Chl groups while the toxin activity gene GO: 0090729 was significantly decreased in the EO group (Figure 6).

Figure 6
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Figure 6. Effects of MEO supplementation on the intestinal microbial functional genes. T (Left) Relative abundance of functional genes quantified as Log10 TPM. (Center) Trends of differences. (Right) p-values derived from the t-test.

3.6 Intestinal metabolomics

3.6.1 Intestinal differential metabolite screening

We performed a metabolomics analysis of our intestinal samples and found 159 significant differential metabolites between control and MEO groups (20 increased and 16 decreased) (Figure 7A). The MEO group also contained 21 unique metabolites (Figure 7B; Supplementary Figures S2–S4). Enrichment analysis of differential substances in the MEO group revealed a number of significant (p < 0.05) metabolic pathways including cholesterol metabolism, bile secretion, basal cell carcinoma, primary bile acid biosynthesis, steroid hormone biosynthesis, cortisol synthesis and secretion, Cushing’s syndrome, fat digestion and absorption, lipid and atherosclerosis and biosynthesis of amino acids (Figure 7C).

Figure 7
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Figure 7. Effects of MEO supplementation on the intestinal microbial metabolites. (A) Intergroup differential metabolites. (B) Intergroup differential metabolites. (C) KEGG enrichment analysis results for differential metabolites.

3.6.2 Intestinal differential metabolites display

Differential metabolites that distinguished the MEO and control groups (VIP-Valve >1 and p < 0.05) were also identified. Among these, 5 metabolites related to lipid metabolism included 9,12,13- and 9,10,13- trihydroxy-10-octadecenoic acid, dihydrocortisol, cholesterol and glycochenodeoxycholic acid. We also found 10 metabolites related to amino acid synthesis and metabolism including 2-hydroxycinnamic acid, 3-(4-hydroxyphenyl) pyruvate, gentisic acid, 3,4-dihydroxyhydrocinnamic acid, pipecolic acid, ornithine, tryptophanol, homogentisate, 2-isopropylmalic acid and quinate.

We also identified the lipid metabolites 9,10-epoxyoctadecenoic acid and dicosapentaenoic acid that were significantly increased in the Chl group. Spermidine was significantly increased in the EO group and is linked to the digestive system and amino acid metabolism.

We also identified differential metabolites related to tyrosine metabolism including 3-(4-hydroxyphenyl) pyruvate, gentisic acid and 3,4-dihydroxyhydrocinnamic acid which displayed significant increases in concentration for the MEO group while homogentisate significantly decreased. Differential metabolites related to primary bile acid biosynthesis are cholesterol and glycochenodeoxycholic acid (GCDCA) and both were significantly reduced in concentration in the MEO group (please indicate data location).

3.7 Intestinal tetracycline resistance genes

In our intestinal samples, we also screened for the presence of tet-resistance genes in E. coli that we isolated from plate cultures. We found no significant differences (p > 0.05) in the relative content of tetA, tetB, tetC, tetM, tetO and tetW between the four groups including the Chl group (Figure 8).

Figure 8
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Figure 8. Effects of MEO supplementation on the abundance of intestinal tetracycline resistance genes. Data are represented as means ± SEM, n = 12 per group.

4 Discussion

Previous studies have indicated that thymol, carvacrol and cinnamaldehyde to piglet diets can reduce weaned piglet diarrhea, improve intestinal health, enhance growth and balance the microbiome (28, 29). Microencapsulated essential oils can increase their physical and chemical stability and improve their organoleptic properties while providing controlled/directed release (28, 30). In preliminary studies 100 mg/kg MEO added with one piglet per replicate displayed a significant impact on productivity, intestinal redox indicators, inflammatory biomarkers and intestinal microbiota (18, 31). The current study also found these types of improvements over the control diets and indicated that MEO produced the most significant effect on diarrhea incidence, ADG and F/G than did either the EO and Chl groups. Thus, the current study expanded the findings of the previous studies using increased samples sizes and in a typical farm environment. In addition, we found that MEO significantly increased piglets T-AOC, GSH-Px, jejunal villus height and jejunal VH/CD ratios. A previous study using 4.5% cinnamaldehyde and 13.5% thymol essential oils at 100 mg/kg for 28 days resulted in improved ADG from days 15 to 28 and increased T-AOC, consistent with our results (32). Furthermore, our metagenomic analysis revealed a significantly higher relative abundance of antioxidant activity-related genes (GO:0016209) in the MEO group compared to Controls. Thus, increased antioxidant gene mRNA abundance in the colon was positively correlated with the serum test results. These findings underscore a role for MEO in enhancing weaned piglet health, productivity and serum antioxidant capacity.

MEO supplementation also played a positive role in maintaining the intestinal barrier function in the ileum of weaned piglets and reduced inflammation. In particular, expression of biomarker genes indicative of inflammation (TNF-α, TGF-β1 and IL-6) were all reduced in the MEO group. TNF-α and TGF-β1 synergistically enhance IL-6 secretion in intestinal epithelial cells that has a pro-inflammaroty effect (33). TGF-β1 promotes the production of amphiregulin (AREG) in intestinal epithelial cells that helps strengthen barrier functions and allow tissue repair (34). TGF-β1 can improve TNF-α induced intestinal epithelial barrier disorder by downregulating the expression of the NOD2 gene in intestinal epithelial cells (3436). TNF-α reduces trans-epithelial electrical resistance and increases the permeability of the intestinal barrier (37), while IL-6 increases the expression of pro-inflammatory biomarkers (38). These combined processes lead to the disruption of the intestinal epithelial barrier function. Our results indicated that the piglet ileum, MEO reduced TNF-α and IL-6 mRNA levels and increased expression of TGF-β1 that are all positive influences of the intestinal barrier. Therefore, MEO plays a role in reducing the expression of inflammatory biomarkers to alleviate intestinal inflammatory responses to maintain intestinal barrier integrity.

MEO has also been reported to have positive influences on the intestinal microbiota and also exhibits potent antibacterial activity (39). Yet, supplementation with carvacrol and thymol does not decrease intestinal bacterial abundance in weaned piglets (40). Our results agreed with these findings and MEO did not cause significant differences in the α-diversity of the intestinal microbiome compared to Controls but did reduce the number of unique species and significantly decreased the proportion of the Bacteroidota phylum thus increasing the Firmicutes/Bacteroidota ratio (F/B). In both piglet and human colonic contents, Firmicutes and Bacteroidota are dominant phyla accounting for up to 90% of the total and have important roles in the intestinal microbiome (41). In our experiments, the proportion in each group reached 86.67–89.53%.

The presence of Firmicutes can alter bile acid metabolism and their depletion in IBD patients can elevate primary and conjugated bile acids that potentially impair intestinal barrier function and immunity and thus promote disease progression (42). In our experiments, MEO lowered cholesterol and primary bile acid concentrations suggesting enhanced colonic Firmicutes abundance, bile acid metabolism and improved fat absorption in weaned piglets. Additionally, the MEO group exhibited a significant reduction in the Bacteroidota compared to the Control group. We found d reduced gene abundance for VF0171 (LPS) and VF0323 (capsule) biosynthesis that play roles in IBD pathogenesis (43) and evading and manipulating the host immune system (44), respectively. LPS administration to piglets could be countered by supplementation of cinnamaldehyde, carvacrol and thymol (45) and might be the result of specific inhibition of Gram-negative bacteria (46).

The presence of MEO also influenced tyrosine metabolism via increasing the intermediates 3-(4-Hydroxyphenyl) pyruvate, gentisic acid and 3,4-d dihydroxyhydrocinnamic acid while decreasing homogentisate. Gentisic acid will be continue metabolized via butanoate and pyruvate metabolism or direct conversion to hydroquinone (Figures 9A; Supplementary Figure S6). Butanoate metabolism plays a critical role in maintaining a healthy intestinal environment, influencing intestinal stem cell function and epithelial homeostasis and alteration in metabolic signaling during aging can affect organism resilience and lifespan (47, 48).

Figure 9
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Figure 9. Differential metabolites identified in this study for the following pathways (A) Tyrosine and (B) bile acid metabolism.

MEO also influences bile acid metabolism and we found significant reductions in cholesterol and its metabolic by-product glycochenodeoxycholic acid (GCDCA) levels in the MEO group. Cholesterol metabolizes into GCDCA in the primary bile acid biosynthesis process within intestinal microbiota and GCDCA serves as an intestinal lipid carrier that is transported to the liver where it is absorbed as dietary fat. Simultaneously, the liver also secretes GCDCA into the intestine through bile, thus recycling and absorbing lipids from the intestine (Figure 9B; Supplementary Figures S7, S8). Alterations in the abundance of Bacteroidota and Firmicutes (increased F/B ratio) contributes to a significant decrease in GCDCA present in the intestine (49) These findings suggest that MEO could enhance microbial cholesterol metabolism and improve intestinal fat absorption. In agreement with this, we found that the MEO group displayed increases in linoleic acid metabolism and elevated end products including 9,12,13- and 9,10,13- trihydroxy-10-octadecenoic acid. This metabolism typically takes place in eosinophils in pigs and contributes to skin barrier health but also has implications in colorectal cancer diagnostics and therapy (50, 51).

Previous studies have consistently identified tetracycline resistance genes in pig farming environments, pig-associated E. coli and pork products (52, 53). Our metagenomic analysis indicated no significant changes in tetracycline resistance genes in any of our experimental groups including Chl. These results were further validated using qPCR assays. The lack of significant differences in resistant genes may be due to the short-term exposure of Chl group piglets to sub-therapeutic levels (54, 55). Similarly, we demonstrated that the addition of MEO to the diet also did not negatively affect the relative abundance of intestinal E. coli resistance genes in weaned piglets.

Current research on the intestinal microbiota of weaned piglets is still limited but metagenomics provides a powerful tool for the direct identification of microbial DNA from samples without the need for microbial culture. When coupled with metabolomics, this type of analysis allows for a more comprehensive understanding of the functions and activities of the intestinal microbiota of weaned piglets under different physiological conditions (56).

5 Conclusion

The current study demonstrates that MEO feed supplements given to weaned piglets in an intensive rearing environment reduces the incidence of diarrhea, improves productive performance, enhances antioxidant capacity and lowers ileal inflammatory responses while enhancing the immune barrier of the jejunum. The MEO piglets displayed the most significant effects in reducing diarrhea and increasing the average daily weight gain and feed conversion ratio. MEO most likely improves piglet productive performance in the colon by reducing the proportion of Bacteroidetes, promoting microbial cholesterol and tyrosine metabolism and enhancing intestinal lipid and amino acid utilization.

Data availability statement

The authors confirm that the data supporting the findings of this study are available within the article or its Supplementary material.

Ethics statement

The animal study was approved by Animal Ethics Committee of the Experimental Animal Center of South China Agricultural University. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

XX: Data curation, Writing – original draft, Writing – review & editing. KM: Methodology, Writing – original draft, Writing – review & editing. CC: Conceptualization, Data curation, Writing – review & editing. YL: Formal analysis, Software, Writing – review & editing. LgL: Methodology, Software, Writing – review & editing. JX: Formal analysis, Methodology, Writing – review & editing. LiL: Data curation, Formal analysis, Funding acquisition, Writing – review & editing. XH: Data curation, Funding acquisition, Methodology, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study received funding from National Key Research and Development Program of China (No. 2022YFD1802105).

Acknowledgments

The authors thank staff members and postgraduate students from Guangdong Key Laboratory for Veterinary Drug Development and Safety Evaluation for providing technical assistance.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2024.1396051/full#supplementary-material

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Keywords: microencapsulated essential oils, piglet diarrhea, intestinal health, metagenomic, metabolomic

Citation: Xu X, Mo K, Cui C, Lan Y, Ling L, Xu J, Li L and Huang X (2024) Microencapsulated essential oils alleviate diarrhea in weaned piglets by modulating the intestinal microbial barrier as well as not inducing antibiotic resistance: a field research. Front. Vet. Sci. 11:1396051. doi: 10.3389/fvets.2024.1396051

Received: 05 March 2024; Accepted: 30 April 2024;
Published: 10 May 2024.

Edited by:

Matteo Dell’Anno, University of Milan, Italy

Reviewed by:

Atif Khurshid Wani, Lovely Professional University, India
Juan D. Latorre, University of Arkansas, United States

Copyright © 2024 Xu, Mo, Cui, Lan, Ling, Xu, Li and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Li Li, bGlsaTAwN0BzY2F1LmVkdS5jbg==; Xianhui Huang, eGhodWFuZ0BzY2F1LmVkdS5jbg==

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.