Skip to main content

In-feed resin acids reduce matrix metalloproteinase activity in the ileal mucosa of healthy broilers without inducing major effects on the gut microbiota


The chicken gut is constantly exposed to harmful molecules and microorganisms which endanger the integrity of the intestinal wall. Strengthening intestinal mucosal integrity is a key target for feed additives that aim to promote intestinal health in broilers. Recently, dietary inclusion of resin-based products has been shown to increase broiler performance. However, the mode of action is still largely unexplored. Coniferous resin acids are known for their anti-microbial, anti-inflammatory and wound-healing properties, all properties that might support broiler intestinal health. In the current study, the effect of pure resin acids on broiler intestinal health was explored. Ross 308 broilers were fed a diet supplemented with coniferous resin acids for 22 days, after which the effect on both the intestinal microbiota as well as on the intestinal tissue morphology and activity of host collagenases was assessed. Dietary inclusion of resin acids did not alter the morphology of the healthy intestine and only minor effects on the intestinal microbiota were observed. However, resin acids-supplementation reduced both duodenal inflammatory T cell infiltration and small intestinal matrix metalloproteinase (MMP) activity towards collagen type I and type IV. Reduced breakdown of collagen type I and IV might indicate a protective effect of resin acids on intestinal barrier integrity by preservation of the basal membrane and the extracellular matrix. Further studies are needed to explore the protective effects of resin acids on broiler intestinal health under sub-optimal conditions and to elaborate our knowledge on the mechanisms behind the observed effects.


The chicken intestinal mucosa represents a barrier that protects the body against antigens, microbial toxins, invasive pathogens and toxic molecules taken up with the diet. Numerous studies show that disturbances in the intestinal ecosystem have profound consequences on animal performance, health and welfare [1,2,3].

Regulatory and consumer pressure to reduce antimicrobial usage in production animals has encouraged studies on alternatives to antimicrobials. Most of these alternatives are feed additives that aim to steer towards a healthy gut microbiota, and towards preserving intestinal integrity and thus reducing excessive inflammatory responses [4, 5]. Examples include short and medium chain fatty acids (e.g. butyric and caproic acid [6, 7]), dietary fibers [8,9,10], probiotics [11, 12], and even vaccines [13,14,15] and bacteriophages [16, 17]. In addition, plant-derived phytochemicals have shown promising performance-enhancing effects in broilers as well as antimicrobial activities against pathogenic bacterial species [18, 19].

Resins derived from coniferous trees are phytochemicals that were used since ancient times in Asian and Scandinavian traditional human medicine. These resin-based products are mainly used for treating wounds, sores, pressure ulcers and a variety of other skin problems [20,21,22]. Recent scientific research has confirmed the efficacy of these compounds, both in human clinical trials as well as in animal models and in vitro [20, 23,24,25,26]. The effects of resins are presumed to be powered by their characteristic cocktail of terpenes (including abietic, dehydroabietic, neoabietic, isopimaric, levopimaric and palustric acids), which display a wide range of pharmacological properties, including, amongst other, anti-microbial, anti-tumor and anti-inflammatory activities [20, 27,28,29,30,31,32,33,34].

In the last years, resin-based products have been explored as feed components to improve and maintain intestinal health of broilers [35,36,37]. While the integrity of the chicken gut is of key importance in broiler health and performance, challenges that affect epithelial integrity are continuously encountered (coccidia, bacterial pathogens such as Clostridium perfringens, feed antigens and mycotoxins, amongst others) [1, 38]. Loss of intestinal mucosal integrity leads to intestinal inflammation, as antigens will initiate a cascade of molecular events that lead to pro-inflammatory cytokine expression. The intestinal microbial composition is also crucial in, either or not, maintaining gut homeostasis. Given the anti-microbial and anti-inflammatory properties of resin, potential beneficial effects in the avian gut may be expected. Indeed, inclusion of a resin-based product in the diet of broiler chickens significantly increased broiler performance when birds were under C. perfringens challenge [35, 36]. Furthermore, even under unchallenged conditions broiler performance was increased by inclusion of resin-based products in a commercial diet supplemented with or without chemical coccidiostats [35, 37]. However, little is known about the mechanism by which these resin-based products influence broiler performance. The described benefits do not seem to be associated with the feed type [35]. Moreover, the potential effect on broiler microbiota remains unclear. Unfortunately, all broiler studies described so far used a resin-based product containing a combination of resin-specific tall oil fatty acids (~90%) and resin acids (~8%). As both the tall oil fatty acids fraction as well as the resin acids fraction of these resin-based products can have an effect on bird performance, it is still unclear whether one or the other fraction, or the combination, is essential to gain the observed results.

The purpose of this study was to evaluate the effect of dietary supplementation of pure resin acids on broiler intestinal health under non-challenged conditions. Therefore, we focused on the effect of resin acids on both the intestinal microbiota as well as the intestinal tissue morphology and collagenolytic activities, since host metalloproteinases involved in collagen breakdown are known to play a crucial role in maintaining intestinal mucosal structure.

Materials and methods

The composition of the resin acids mixture

A mixture of natural resin acids from Scotch pine (Pinus sylvestris) and Norway spruce (Picea abies) was obtained from Hankkija Oy (Hyvinkää, Finland) and produced by Forchem (Rauma, Finland). This pure resin acids product is a derivative of the commercial product Progres® from Hankkija Oy (patent no FI124918) which was used in previously published broiler studies and contains about 90% free fatty acids and 8%–9% resin acids [35,36,37]. The resin acids mixture used in this study represents the pure resin acid fraction which contains mainly abietic acid and dehydroabietic acid (Table 1).

Table 1 Composition of the mixture of coniferous resin acids

Birds, housing and experimental treatment

The study was undertaken following the guidelines of the ethics committee of the Faculty of Veterinary Medicine, Ghent University, in accordance with the EU Directive 2010/63/EU. Twenty, 1-day-old Ross 308 broilers were obtained from a local hatchery and housed in two pens (10 chickens per pen) on wood shavings. The animals were not vaccinated. Water and commercial starter feed (day 1–10) or grower feed (day 11–22) were provided ad libitum (Table 2). The control group received the standard non-supplemented diet, whereas the birds in the treatment group were fed the same feed supplemented with 200 mg resin acids/kg feed throughout the whole trial period. This resin acids supplementation level is in the same order of magnitude as used previously in studies assessing the effect of resin-based products on broiler performance [35,36,37]. At day 22, all birds were euthanized for sampling. Ileal and caecal content were stored at −70 °C for microbiota composition analysis (16S rRNA sequencing) and short-chain fatty acid (SCFA) analysis. Intestinal tissue from the different segments of the small intestine was snap frozen in liquid nitrogen and stored at −20 °C until protein extraction was performed for MMP analysis. Additionally, duodenal and ileal tissue samples were collected and fixed in 4% phosphate buffered formaldehyde for histological analysis.

Table 2 Composition and nutritional value of the diets

DNA extraction

DNA was extracted from intestinal content using the CTAB method as previously described by Griffiths et al. and De Maesschalck et al. with minor modifications [8, 39]. In brief, 100 mg of caecal content or 200 mg of ileal content was suspended in 0.5 mL CTAB buffer (hexadecyltrimethylammonium bromide > 98% (Sigma Aldrich, St. Louis, MO, USA) 5% (w/v), 0.35 M NaCl, 120 nM K2HPO4) and 0.5 mL phenol–chloroform-isoamyl alcohol (25:24:1). The mixture was homogenized by grinding (2×) with 0.5 g unwashed glass beads (Sigma-Aldrich) in a bead beater (1.5 min, 22.5 Hz; TissueLyser; Qiagen, Hilden, Germany) with a 30 s interval between shakings. Samples were centrifuged for 10 min at 8000 rpm and 300 µL of the supernatant was transferred to a new tube. A re-extraction from the remaining content was performed by adding 0.25 mL CTAB buffer and homogenizing and centrifuging the sample as described above. An equal volume (600 µL) of chloroform-isoamyl alcohol (24:1) was added to the supernatant collected in order to remove the phenol from the samples. The mixture was further centrifuged at 16 000 g for 10 s. Nucleic acids were precipitated with 2 times the volume of polyethyleenglycol-6000 solution (30% w/v; 1.6 M NaCl) for 2 h at room temperature. Samples were centrifuged (13 000 g, 20 min) and washed with 1 mL ice-cold ethanol (70% v/v). The pellet obtained was further centrifuged (13 000 g, 20 min), dried and resuspended in 100 µL de-ionized water (LiChrosolv Water, Merck, Darmstadt, Germany). The quality and the concentration of the DNA was examined spectrophotometrically (NanoDrop, Thermo Scientific, Waltham, MA, USA).

16S rRNA gene amplicon sequencing

To characterize the taxonomic groups in the caecal and ileal microbiota of the chickens, the V3-V4 hypervariable region of 16s rRNA gene was amplified using the gene-specific primers S-D-Bact-0341-b-S-17 (5′-TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGCCTACGGGNGGCWGCAG-3′) and S-D-Bact-0785-a-A-21 (5′-GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGGACTACHVGGGTATCTAATCC-3′) [40]. Each 25 µL PCR reaction contained 2.5 µL DNA (~5 ng/µL), 0.2 µM of each of the primers and 12.5 µL 2 × KAPA HiFi HotStart ReadyMix (Kapa Biosystems, Wilmington, MA, USA). The PCR amplification consisted of initial denaturation at 95 °C for 3 min, followed by 25 cycles of 95 °C for 30 s, 55 °C for 30 s, 72 °C for 30 s and a final extension at 72 °C for 5 min. The PCR products were purified using CleanNGS beads (CleanNA, Waddinxveen, The Netherlands). The DNA quantity and quality was analyzed spectrophotometrically (NanoDrop) and by agarose gel electrophoresis. A second PCR step was used to attach dual indices and Illumina sequencing adapters in a 50 µL reaction volume containing 5 µL of purified PCR product, 2× KAPA HiFi HotStart ReadyMix (25 µL) and 0.5 µM primers. The PCR conditions were the same as the first PCR with the number of cycles reduced to 8. The final PCR products were purified and the concentration was determined using the Quantus double-stranded DNA assay (Promega, Madison, WI, USA). The final barcoded libraries were combined to an equimolar 5 nM pool and sequenced with 30% PhiX spike-in using the Illumina MiSeq v3 technology (2 × 300 bp, paired-end) at the Oklahoma Medical Research center (Oklahoma City, OK, USA).

Bioinformatics and statistical analysis of 16S rRNA gene amplicon data

Demultiplexing of the amplicon dataset and deletion of the barcodes was done by the sequencing provider. Quality of the raw sequence data was checked with the FastQC quality-control tool (Babraham Bioinformatics, Cambridge, United Kingdom) followed by initial quality filtering using Trimmomatic v0.38 by cutting reads with an average quality per base below 15 using a 4-base sliding window and discarding reads with a minimum length of 200 bp [41]. The paired-end sequences were assembled and primers were removed using PANDAseq [42], with a quality threshold of 0.9 and length cut-off values for the merged sequences between 390 and 430 bp. Chimeric sequences were removed using UCHIME [43]. Open-reference operational taxonomic unit (OTU) picking was performed at 97% sequence similarity using USEARCH (v6.1) and converted to an OTU table [44]. OTU taxonomy was assigned against the Silva database (v128, clustered at 97% identity) [45] using the PyNast algorithm with QIIME (v1.9.1) default parameters [46]. OTUs with a total abundance below 0.01% of the total sequences were discarded [47], resulting in an average of approximately 48 336 reads per sample. Alpha rarefaction curves were generated using the QIIME “” script and a subsampling depth of 10 000 reads was selected. One ileal and 1 caecal sample from the resin acids-supplemented group were excluded from further analysis due to insufficient sequencing depth.

Further analysis of alpha diversity (Observed OTUs, Chao1 richness estimator and Shannon diversity estimator) and beta diversity (Bray–Curtis dissimilarities) were performed using the phyloseq [48] pipeline in R (v3.4.3). Normality of the alpha diversity data was tested using the Shapiro–Wilk test. A t-test was used for normal distributed data, whereas the Mann–Whitney U test was used for not normal distributed data. Differences in beta diversity were examined using the anosim function from the vegan package. Differences in relative abundance at the phylum level were assessed using the two-sided Welch t-test from the mt wrapper in phyloseq, with the p-value adjusted for multiple hypothesis testing using the Benjamini–Hochberg method. To detect differentially abundant taxa between the different diet groups, DESeq 2 was applied on the non-rarified community composition data for either caecal or ileal communities [49]. Significant differences were obtained using a Wald test followed by a Benjamini–Hochberg multiple hypothesis correction. For all tests, a p-value < 0.05 was considered significant.

Metabolic function prediction of the microbial communities

To gain more insight into the effect of resin acids on the possible functional pathways of the microbial communities, the functional composition was predicted using PICRUSt (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States; [50]). PICRUSt uses precomputed ancestral state reconstructions based on the Greengenes database. Therefore, OTU picking was reperformed as described above with following modifications: closed-reference OTU picking was used, and OTU taxonomy was assigned against the Greengenes database (v 13.5) [51] after which the OTU counts were normalized by their expected 16 s copy number using QIIME [52, 53]. Metagenome predictions were performed against the KEGG database (Kyoto Encyclopedia of Genes and Genomes; [54]), after which the resulting KEGG orthologues were further summarized as functional pathways using PICRUSt.

SCFA (acetate, propionate, butyrate, valerate) quantification

The amount of acetate, propionate, butyrate and valerate were quantified using gas chromatography as previously described [55]. In short, SCFA were extracted from caecal content using diethyl ether. 2-Methyl hexanoic acid (99%) was added to each sample as internal standard. The extracts were analyzed using a GC-2014 gas chromatograph (Shimadzu, ‘s-Hertogenbosch, the Netherlands), equipped with a capillary fatty-acid free EC-1000 Econo-Cap column (Alltech, Laarne, Belgium).

Intestinal morphology

Intestinal morphology was analyzed by measuring villus length and crypt depth. Formalin-fixed intestinal tissue samples were embedded in paraffin and sectioned at 5 µm. To analyze the intestinal morphology, duodenal tissue was stained with hematoxylin and eosin. Villus height and crypt depth were assessed using a PC-based image analysis system (Leica Application Suite V4, LAS V4.; Leica, Diegem Belgium). Villus height was measured from the tip of the villus to the crypt-villus junction. Crypt depth was measured from its base up to the crypt-villus invagination. Measurements were performed in duodenal sections by random measurement of 10 villi/crypts per section, after which the average per animal was calculated.

CD3 immunohistochemistry

Slides for immunohistochemical staining for CD3+ cells were automatically deparaffinized (Shandon Varistain-Gemini) before antigen retrieval with a pressure cooker in citrate buffer (10 mM, pH 6). Endogenous peroxidase activity was blocked by treating the slides with peroxidase blocking reagent (S2023, Dako, Glostrup, Denmark) for 5 min. The presence of T-cells (CD3-positive cell abundance) in intestinal tissue from both duodenum and ileum was evaluated using polyclonal primary antibodies against CD3 (A0452, Dako, 1:100 dilution, 30 min at room temperature), followed by incubation with a secondary labelled polymer-HRP anti-rabbit (Envision + System-HRP (DAB) (K4011), 30 min at room temperature). Slides were evaluated using the computer based image analysis program, LAS V4.1. The CD3+ area percentage in either the duodenal or ileal tissue was quantified using three representative fields of view per intestinal section.

Intestinal tissue lysates

Proteins were extracted from the small intestinal tissue (duodenum, jejunum and ileum) using mechanical lysis. In brief, intestinal tissues (~30 mg) were homogenized in 400 µL TBS-1% NP-40 (50 mM Tris/HCl, pH 8.0, 150 mM NaCl and 1% (v/v) NP-40, supplemented with EDTA-free protease inhibitor cocktail (Complete, Roche, Mannheim, Germany)) by grinding (2x) with a combination of 2.3 mm zircon/silica and 3.2 mm stainless steel beads (BioSpec Products, Bartlesville, OK, USA) in a bead beater (1.5 min, 22.5 Hz; TissueLyser) with a 30 s interval between shakings. Samples were centrifuged for 10 min at 8000 rpm and the supernatant was transferred to a new tube. Protein concentration was measured using the BCA protein assay (Thermo Fisher Scientific) and samples were stored at −20 °C until further analysis.

EnzChek gelatinase/collagenase assay

The Molecular Probes EnzChek® Gelatinase/Collagenase Assay Kit was used to evaluate the breakdown of gelatin, collagen type I and collagen type IV by enzymes present in the small intestinal tissues (duodenum, jejunum or ileum). These substrates were labeled with fluorescein and a quenching agent. Duplicate measurements were performed in 200 μL reaction volume containing 20 µL of either fluorescein labelled substrate (DQ Collagen I (25 μg/mL, D12060), DQ Collagen IV (25 μg/mL, D12052), or DQ Gelatin (12.5 μg/mL, D12054)), 100 μL of the tissue lysate (500 µg/mL) and 80 μL of reaction buffer (0.5 M Tris–HCl, 1.5 M NaCl, 50 mM CaCl2 and 2 mM sodium azide with pH 7.6). Samples were incubated for 10 h at room temperature in the absence of light, after which fluorescence was measured (excitation 485 nm, emission 527 nm; Fluoroskan Ascent Fluorometer, Thermo Fisher Scientific Inc.). Background fluorescence was subtracted for each sample.

Gelatin substrate zymography

Gelatin zymography was used to identify the gelatinolytic enzymes in the ileal tissue lysates. Polyacrylamide gel (10%) containing 0.2% gelatin (2 mg/mL) as substrate was used for determination of MMPs gelatinolytic activity. Equal concentrations of ileal tissue lysates from the resin acids-supplemented birds or control birds were pooled, after which 10 µL pooled ileal tissue lysate (1 mg/mL) was mixed with 10 µL 2 × loading buffer (0.5 M Tris–HCl pH 6.8, 20% glycerol, 4% SDS, a pinch of bromophenol blue) and loaded to the gel. After standard electrophoresis, the gel was incubated with renaturing buffer (2.5% Triton X-100, 30 min, room temperature) to remove SDS from the gel. This allows the enzymes in the gels to renature and autoactivate. The gel was washed with developing buffer (150 mM NaCl, 5 mM CaCl2, 0.05% NaN3 and 50 mM Tris–HCl buffer pH 7.5) and incubated with fresh developing buffer under continuous shaking at 37 °C for 18 h. After incubation, the gel was stained with Coomassie brilliant blue (Sigma-Aldrich). Activity of gelatin-degrading enzymes is visualized as colorless bands on a blue background. Gel images were analyzed with a GS-800 calibrated densitometer and the Quantity One software (BioRad, Hercules, CA, USA).

Statistical analysis

Statistical analysis on the gut microbiota were performed using R, as described above. All other analyses and calculations were performed using GraphPad Prism software (version 5.03, San Diego, CA, USA). Normality of the data was tested with the D’Agostino-Pearson normality test. A student’s t-test was used for normal distributed data. When the data were not normally distributed, the comparisons between groups were done by Mann–Whitney U test. Analyses were performed with 95% confidence intervals and significance was determined as p ≤ 0.05.


Influence of resin acids on the caecal and ileal microbial diversity

The microbial complexity in the ileum and caecum of broiler chickens was estimated by calculating the number of observed OTUs, the estimated OTU richness (Chao1) or the estimated community diversity (Shannon index) in each sample. No significant alterations in either the caecal or ileal bacterial richness or diversity were introduced by supplementation of the diet with resin acids (Figure 1).

Figure 1
figure 1

Alpha diversity of the microbial community from birds fed a control or a resin acids-supplemented diet. Observed: observed OTUs, Chao1: estimated OTU richness and Shannon: estimated community diversity.

Bray–Curtis dissimilarity was used to investigate beta diversity between either the caecal or ileal microbiota from birds fed the control diet or the diet supplemented with resin acids. Addition of resin acids to the diet resulted in a significant differentiation of the ileal microbial community structures as compared to the control group (ANOSIM statistic R = 0.23, p = 0.002), whereas no statistical difference could be observed in the caecum (ANOSIM statistic R = 0.12, p = 0.055) (Figure 2).

Figure 2
figure 2

PCoA plot of the microbiota from birds fed a control or resin acids-supplemented diet. Principle coordinate analysis (PCoA) plot of Bray–Curtis dissimilarities. Each point represents a single chicken microbiome. Significant separation of ileal microbial communities were revealed using ANOSIM (p = 0.002). This difference was less pronounced in the caecal microbiota (p = 0.055).

Influence of resin acids on the taxonomic composition of the ileal and caecal microbiota

The caeca from broilers fed a resin acids-containing diet or the control diet were highly abundant in Firmicutes (83.2% and 77.2%, respectively) and Bacteroidetes (14.5% and 17.8%, respectively). The relative abundance of Actinobacteria in the caeca from birds fed a resin acids-supplemented diet (0.07%) was decreased as compared to birds receiving the control diet (3.4%) (p = 0.0042), a difference that was mainly due to the genus Bifidobacterium (0.004% and 3.4% in respectively the resin acids group or control group). The phylum Proteobacteria accounted for 0.7% of total sequences in the control birds, whereas a relative abundance of 1.8% was observed in the caeca from birds receiving resin acids (p = 0.1992). The ileal microbiota was characterized by a high abundance of Firmicutes (97% in resin acids supplemented group, 96.1% in controls), followed by Actinobacteria as the second most abundant group (3.7% in control, 2.8% in resin acid fed birds) (Figure 3).

Figure 3
figure 3

Relative abundance at phylum level in the ileum or caecum. Relative abundance (%) of the 4 most abundant phyla in the ileum or caecum from birds fed either the control diet or resin acids-supplemented diet.

Differentially abundant genera in the caecal or ileal microbiota from birds fed a resin acids-supplemented diet as compared to the control diet were identified using DESeq2. Seven genera were differentially abundant between the caecal microbiota derived from birds fed either the control or resin acids diet. Six of these genera were more prevalent when resin acids were supplemented to the diet, with two belonging to the family Lachnospiraceae, three classified as Ruminococcaceae and the sixth belonging to the genus Lactobacillus. Only the genus Bifidobacterium was decreased when birds were fed a resin acids-containing diet (Table 3).

Table 3 Differentially abundant genera in the caecal or ileal microbiota

Addition of resin acids to the broiler diet resulted in 12 genera in the ileal microbiota that were differentially abundant as compared to the control diet. Nine of these genera were less abundant when birds were fed the resin acids-containing diet. Five of these genera showed a mean relative abundance below 0.1%. The four more abundant genera belonged to the families Corynebacteriaceaea, Planococcaceae, Carnobacteriaceae and Clostridiaceae 1. The three genera that were more prevalent in the resin acids-supplemented group all showed an overall low prevalence in the ileal microbiota (mean relative abundance < 0.1%) (Table 3). The genus Bifidobacterium was the only genus that was significantly different between the diet groups in both the ileal and caecal microbiota.

Resin acids-supplementation of broiler feed had no effect on the microbial activity

To determine whether the resin acids-induced alterations of the microbiota might have an effect on the microbial functions, microbial pathways present in the ileal and caecal microbiome were in silico predicted. The main functional pathways predicted in both the ileal and caecal microbiome were involved in membrane transport, DNA replication and repair, amino acid metabolism and carbohydrate metabolism. No significant differences could be observed between the microbiota from birds fed a resin acid-supplemented diet as compared to the control diet (Additional file 1).

In addition to the predicted metabolic function, the SCFA concentration in the caecum was determined. Acetate was the major SCFA, followed by butyrate as the second most abundant metabolite in the caecal content. No statistical differences in SCFA content were found between the resin acid supplemented and control group (Table 4).

Table 4 Effect of dietary resin acids-supplementation on SCFA concentration in the caecum at day 22

Resin acids did not affect intestinal morphology but reduced duodenal T-cell abundance

Villus height, crypt depth and villus to crypt ratios were measured at the level of the duodenum, as a read-out for the evaluation of intestinal health. Feeding of broilers with resin acids-containing diet had no effect on any of these parameters, which approximate the reference values for broilers (villus to crypt ratio of 8 for broilers at 23 days of age; [56]) (Table 5).

Table 5 Effect of resin acids-supplementation on intestinal morphology and T-cell abundance of chickens on day 22

The amount of CD3+ T-cells was determined in both the ileal and duodenal tissue as a marker for intestinal inflammation. No changes in ileal T-cell abundance were observed, whereas the amount of CD3+ positive cells in the duodenal tissue from birds fed the resin acids-supplemented diet was significantly decreased as compared to the control birds (Table 5).

Resin acids-supplementation decreased the collagenolytic activity in the broiler ileal tissue

The enzymatic activity towards gelatin, collagen type I or collagen type IV present in the small intestinal tissue was assessed as a measure for extracellular matrix degradation in the gut. Resin acids-supplementation did not influence the gelatin, collagen type I or collagen type IV degrading activity in the duodenal tissue (Figures 4A–C). In the jejunum, significantly lower gelatinase activity was measured in the tissue from resin acids fed birds as compared to the control group (p = 0.0197; Figure 4D). Although still numerically lower in the resin acids-supplemented group, this difference did not reach statistical significance when looking to the specific collagen type I or collagen type IV breakdown in the jejunal tissue (p = 0.14 or p = 0.21 respectively, Figures 4E and F). The biggest effect of resin acids was observed in the ileal tissue, where gelatin (p = 0.021), collagen type I (p = 0.046) and collagen type IV (p = 0.0045) degrading activity was significantly decreased by supplementation of resin acids to the broiler feed (Figures 4G–I).

Figure 4
figure 4

Relative gelatin, collagen type I and collagen type IV degrading activity in small intestinal tissue. Duodenal (AC), jejunal (DF) or ileal (GI) intestinal tissue lysates from either control birds or resin acids fed birds were incubated for 10 h with fluorescently labelled gelatin (A, D and G), collagen type I (B, E and h) or collagen type IV (C, F and I). Breakdown of the fluorescently labelled substrate results in an increase of fluorescence which is proportional to the substrate degrading activity of the sample. Data represent the mean (± standard deviation). FU: relative fluorescence units after 10 h incubation. *p < 0.05, **p < 0.01.

To gain more information on the identity of these enzymes, pooled ileal tissue lysates were subjected to gelatin zymography (Figure 5). The ileal tissue from the control birds showed three different gelatinolytic bands, whereas in the ileal tissue from the resin acids group, only the highest molecular weight enzyme was present. The two enzymatic bands that were exclusively detected in the ileum from control birds correspond to MMP7 (~18 kDa) and its latent pro-enzyme forms (pre-proMMP7: ~30 kDa and proMMP7: ~28 kDa) (UniprotKB: F6R1W4_CHICK; [57]). MMP7 is the smallest of all MMPs and the only MMP in this molecular weight range. The third, unaffected enzymatic band has a molecular weight between 50 and 75 kDa, which is predicted to be MMP2 (~62 kDa), but might as well be MMP1 (54 kDa), MMP3 (52 kDa) or MMP13 (55 kDa). As this bigger enzyme was not affected by resin acids-supplementation, the identity of this enzyme was not further investigated.

Figure 5
figure 5

Effect of resin acids-supplementation on ileal gelatinolytic enzymes. Ileal tissue lysates from either the control group or the resin acids-supplemented group were pooled and subjected to gelatin zymography. Gelatinolytic enzymes are observed as clear bands of digested gelatin. Control tissue shows three different gelatinolytic bands, whereas only one band was observed in the ileal tissue lysate from birds fed the resin acids-containing diet.


Feed additives are widely used to improve broiler gut health and to stimulate performance. Dietary inclusion of a resin-based product containing a combination of tall oil fatty acids (~90%) and resin acids (8–9%) from coniferous trees has recently been shown to improve broiler performance, but the mechanism behind this effect is still unknown [35,36,37]. In the present study, we demonstrated that administration of pure resin acids to broiler feed has a major effect on the host intestinal tissue, with only minor effects on the microbiota composition in the gut.

Despite the known anti-microbial properties of resin acids extracted from coniferous trees [20, 23, 58], dietary inclusion of resin acids had no effect on the microbial richness or diversity in either the ileum or caecum, nor did it alter the overall microbial community composition of the caecum. The composition of the ileal microbial structure did show differences between the resin acids-supplemented group and control birds, without affecting the composition of the caecal microbial structure. This is consistent with previous studies using either plant derived growth promoters or antimicrobial growth promoters, where the major microbial responses were observed in small intestinal compartments rather than in caecal or colorectal compartments [59]. In the current study, the overall effects on ileal microbial composition were mainly due to low abundant genera (< 0.1% relative abundance). Moreover, no effect on the metabolic microbial functions were detected (both as inferred functional capacities of the microbial communities as well as measured SCFA production), indicating that dietary supplementation of resin acids had likely no relevant effect on the microbiota of healthy broilers.

Intestinal homeostasis is the result of a delicate balance between toxic and inflammatory elements in the gut that constantly challenge its integrity on the one hand (e.g. antigens, toxins, invasive bacteria), and beneficial microbes and host signals that are supporting intestinal integrity and regulating immunity on the other hand [2, 38, 60]. In the ideal situation, the intestinal wall is covered by a protective layer of mucins and the intestinal epithelial cells are strongly sealed by intercellular junctions. Additionally, there exists a symbiotic homeostasis between the intestinal microbiome and the intestinal immune system, inducing a low-grade stimulation of the innate immune system that is continuously regulated and controlled, thereby preventing intestinal tissue damage [60]. To ensure optimal performance, normal physiological inflammation should be maintained while limiting pathological inflammatory triggers. However, features of modern animal production likely predispose broilers to particularly chronic, inflammatory triggers (e.g. increased feed intake and nutrient excesses) [60]. Anti-inflammatory nutritional strategies and other strategies that support optimal gut barrier function are important means to improve the performance of broilers. By reducing the inflammatory tone, the production of protein can be assigned to support growth instead of to the production of immune modulators [61]. The anti-inflammatory and wound healing activities described for coniferous resin acids might be beneficial to maintain broiler gut health and can be a possible explanation for the previously reported performance-enhancing effects. Indeed, dietary resin acids-supplementation resulted in decreased abundance of inflammatory T-cells in the duodenal tissue and reduced matrix metalloproteinase (MMP) activity, while maintaining optimal intestinal morphology. MMPs are zinc-dependent endopeptidases that are able to degrade extracellular matrix molecules as well as a wide range of other molecules that might be important within the mucosal layer, such as, amongst others, membrane receptors, adhesion factors, signaling molecules and cytoskeleton proteins [62]. MMPs are important in many normal physiological processes, but some MMPs are also involved in various enteric inflammatory diseases, such as inflammatory bowel disease [62, 63] and necrotic enteritis in broilers [64]. The most profound effect of resin acids-supplementation on MMP activity was observed in the ileum, resulting in a reduction of both collagen type I and collagen type IV degrading activity. Both collagen subtypes are important for the structural integrity of the intestinal wall: collagen type I is a major supportive component of the extracellular matrix, whereas type IV collagen is an integral component of the basement membrane supporting the epithelial cells [65, 66]. The main enzyme responsible for the reduced collagenolytic activity in the resin acids group had a molecular weight corresponding to both the latent and active forms of MMP7. No other MMPs in this molecular weight range are currently described. However the identity of this enzyme should be confirmed in future research. In the healthy intestine, various MMPs are expressed, but the production of MMP7 is mainly linked to injured epithelium and seems not to be involved in regular epithelial renewal [67, 68]. MMP7 can disrupt epithelial barrier integrity by degrading intercellular junction molecules such as cadherins and occludins. Furthermore, MMP7 is able to activate α-defensins by cleaving its precursor into the active form. Αlpha-defensins are antimicrobial peptides that are secreted by epithelial cells and granulocytes, which might play a role in protection of the host against microbial invasion during intestinal inflammation [69] and can induce IL6 secretion by macrophages [70]. While IL6 has a protective role in many infections, these effects are context dependent, and the same activities can also contribute to intestinal leakage and inflammation. As the broiler gut is continuously exposed to various challenges that affect intestinal barrier integrity and can trigger inflammation (e.g. coccidia, mycotoxins, bacterial toxins, amongst others), reducing MMP7 activity through resin acids-supplementation to the diet might support intestinal health by enhancing intestinal barrier integrity and controlling inflammation in the avian gut.

In the present study, resin acids-supplementation of broiler diet reduced small intestinal MMP activity and duodenal inflammatory T-cell abundance, while maintaining optimal gut morphology. Only minor effects on the microbiota composition and its metabolic functions were observed. To confirm the presumably direct effects of resin acids on the propria mucosa homeostasis, further in vitro studies are required in absence of the host microbiota. The observation that resin acids have an effect on host intestinal inflammation and MMP activity provides a new direction for future research on the effects of resin acids on broiler intestinal health.



matrix metalloproteinase


operational taxonomic units


principle coordinate analysis


short-chain fatty acids


standard deviation


  1. Chen SS, Li YH, Lin MF (2017) Chronic exposure to the fusarium mycotoxin deoxynivalenol: impact on performance, immune organ, and intestinal integrity of slow-growing chickens. Toxins (Basel) 9:E334

    Article  Google Scholar 

  2. Kuttappan VA, Vicuna EA, Latorre JD, Wolfenden AD, Tellez GI, Hargis BM, Bielke LR (2015) Evaluation of gastrointestinal leakage in multiple enteric inflammation models in chickens. Front Vet Sci 2:66

    Article  Google Scholar 

  3. Moquet PCA, Salami SA, Onrust L, Hendriks WH, Kwakkel RP (2018) Butyrate presence in distinct gastrointestinal tract segments modifies differentially digestive processes and amino acid bioavailability in young broiler chickens. Poult Sci 97:167–176

    Article  CAS  Google Scholar 

  4. Wang W, Li Z, Han Q, Guo Y, Zhang B, D’Inca R (2016) Dietary live yeast and mannan-oligosaccharide supplementation attenuate intestinal inflammation and barrier dysfunction induced by Escherichia coli in broilers. Br J Nutr 116:1878–1888

    Article  CAS  Google Scholar 

  5. Wu QJ, Wang YQ, Qi YX (2017) Influence of procyanidin supplementation on the immune responses of broilers challenged with lipopolysaccharide. Anim Sci J 88:983–990

    Article  CAS  Google Scholar 

  6. Van Immerseel F, De Buck J, Boyen F, Bohez L, Pasmans F, Volf J, Sevcik M, Rychlik I, Haesebrouck F, Ducatelle R (2004) Medium-chain fatty acids decrease colonization and invasion through hilA suppression shortly after infection of chickens with Salmonella enterica serovar Enteritidis. Appl Environ Microbiol 70:3582–3587

    Article  Google Scholar 

  7. Van Immerseel F, Russell JB, Flythe MD, Gantois I, Timbermont L, Pasmans F, Haesebrouck F, Ducatelle R (2006) The use of organic acids to combat Salmonella in poultry: a mechanistic explanation of the efficacy. Avian Pathol 35:182–188

    Article  Google Scholar 

  8. De Maesschalck C, Eeckhaut V, Maertens L, De Lange L, Marchal L, Nezer C, De Baere S, Croubels S, Daube G, Dewulf J, Haesebrouck F, Ducatelle R, Taminau B, Van Immerseel F (2015) Effects of xylo-oligosaccharides on broiler chicken performance and microbiota. Appl Environ Microbiol 81:5880–5888

    Article  Google Scholar 

  9. Eeckhaut V, Van Immerseel F, Dewulf J, Pasmans F, Haesebrouck F, Ducatelle R, Courtin CM, Delcour JA, Broekaert WF (2008) Arabinoxylooligosaccharides from wheat bran inhibit Salmonella colonization in broiler chickens. Poult Sci 87:2329–2334

    Article  CAS  Google Scholar 

  10. Vermeulen K, Verspreet J, Courtin CM, Haesebrouck F, Ducatelle R, Van Immerseel F (2017) Reduced particle size wheat bran is butyrogenic and lowers Salmonella colonization, when added to poultry feed. Vet Microbiol 198:64–71

    Article  CAS  Google Scholar 

  11. Wang H, Ni X, Qing X, Liu L, Xin J, Luo M, Khalique A, Dan Y, Pan K, Jing B, Zeng D (2018) Probiotic Lactobacillus johnsonii BS15 improves blood parameters related to immunity in broilers experimentally infected with subclinical necrotic enteritis. Front Microbiol 9:49

    Article  Google Scholar 

  12. Asghar S, Arif M, Nawaz M, Muhammad K, Ali MA, Ahmad MD, Iqbal S, Anjum AA, Khan M, Nazir J (2016) Selection, characterisation and evaluation of potential probiotic Lactobacillus spp. isolated from poultry droppings. Benef Microbes 7:35–44

    Article  CAS  Google Scholar 

  13. Mota RM, Moreira JL, Souza MR, Horta MF, Teixeira SM, Neumann E, Nicoli JR, Nunes AC (2006) Genetic transformation of novel isolates of chicken Lactobacillus bearing probiotic features for expression of heterologous proteins: a tool to develop live oral vaccines. BMC Biotechnol 6:2

    Article  Google Scholar 

  14. Park SH, Kim SA, Rubinelli PM, Roto SM, Ricke SC (2017) Microbial compositional changes in broiler chicken cecal contents from birds challenged with different Salmonella vaccine candidate strains. Vaccine 35:3204–3208

    Article  CAS  Google Scholar 

  15. Hoelzer K, Bielke L, Blake DP, Cox E, Cutting SM, Devriendt B, Erlacher-Vindel E, Goossens E, Karaca K, Lemiere S, Metzner M, Raicek M, Surinach M, Wong NM, Gay C, Immerseel F (2018) Vaccines as alternatives to antibiotics for food producing animals. Part 2: new approaches and potential solutions. Vet Res 49:70

    Article  Google Scholar 

  16. Hosseindoust AR, Lee SH, Kim JS, Choi YH, Kwon IK, Chae BJ (2017) Productive performance of weanling piglets was improved by administration of a mixture of bacteriophages, targeted to control Coliforms and Clostridium spp. shedding in a challenging environment. J Anim Physiol Anim Nutr (Berl) 101:e98–e107

    Article  CAS  Google Scholar 

  17. Kim KH, Lee GY, Jang JC, Kim JE, Kim YY (2013) Evaluation of anti-SE bacteriophage as feed additives to prevent Salmonella enteritidis (SE) in broiler. Asian-Australas J Anim Sci 26:386–393

    Article  CAS  Google Scholar 

  18. Jamroz D, Wertelecki T, Houszka M, Kamel C (2006) Influence of diet type on the inclusion of plant origin active substances on morphological and histochemical characteristics of the stomach and jejunum walls in chicken. J Anim Physiol Anim Nutr (Berl) 90:255–268

    Article  CAS  Google Scholar 

  19. Jang IS, Ko YH, Kang SY, Lee CY (2007) Effect of a commercial essential oil on growth performance, digestive enzyme activity and intestinal microflora population in broiler chickens. Anim Feed Sci Tech 134:304–315

    Article  CAS  Google Scholar 

  20. Jokinen JJ, Sipponen A (2016) Refined spruce resin to treat chronic wounds: rebirth of an old folkloristic therapy. Adv Wound Care 5:198–207

    Article  Google Scholar 

  21. Sipponen A, Jokinen JJ, Sipponen P, Papp A, Sarna S, Lohi J (2008) Beneficial effect of resin salve in treatment of severe pressure ulcers: a prospective, randomized and controlled multicentre trial. Br J Dermatol 158:1055–1062

    Article  CAS  Google Scholar 

  22. Sipponen A, Kuokkanen O, Tiihonen R, Kauppinen H, Jokinen JJ (2012) Natural coniferous resin salve used to treat complicated surgical wounds: pilot clinical trial on healing and costs. Int J Dermatol 51:726–732

    Article  Google Scholar 

  23. Roy K, Lyhs U, Vuorenmaa J, Pedersen K (2018) In vitro inhibition studies of natural resin acids to Clostridium perfringens, Staphylococcus aureus and Escherichia coli O149. J Appl Anim Nutr 6:1–5

    Article  Google Scholar 

  24. Fernandez MA, Tornos MP, Garcia MD, de las Heras B, Saenz MT, Villar AM (2001) Anti-inflammatory activity of abietic acid, a diterpene isolated from Pimenta racemosa var. grissea. J Pharm Pharmacol 53:867–872

    Article  CAS  Google Scholar 

  25. Park JY, Lee YK, Lee DS, Yoo JE, Shin MS, Yamabe N, Kim SN, Lee S, Kim KH, Lee HJ, Roh SS, Kang KS (2017) Abietic acid isolated from pine resin (Resina Pini) enhances angiogenesis in HUVECs and accelerates cutaneous wound healing in mice. J Ethnopharmacol 203:279–287

    Article  CAS  Google Scholar 

  26. Simbirtsev AS, Konusova VG, Mchelidze GS, Fidarov EZ, Paramonov BA, Chebotarev VY (2002) Pine resin and Biopin ointment: effects on repair processes in tissues. B Exp Biol Med 133:457–460

    Article  CAS  Google Scholar 

  27. Jeon Y, Jung Y, Youm JK, Kang KS, Kim YK, Kim SN (2015) Abietic acid inhibits UVB-induced MMP-1 expression in human dermal fibroblast cells through PPAR alpha/gamma dual activation. Exp Dermatol 24:140–145

    Article  CAS  Google Scholar 

  28. Takahashi N, Kawada T, Goto T, Kim CS, Taimatsu A, Egawa K, Yamamoto T, Jisaka M, Nishimura K, Yokota K, Yu R, Fushiki T (2003) Abietic acid activates peroxisome proliferator-activated receptor-gamma (PPAR gamma) in RAW264.7 macrophages and 3T3-L1 adipocytes to regulate gene expression involved in inflammation and lipid metabolism. FEBS Lett 550:190–194

    Article  CAS  Google Scholar 

  29. Leandro LF, Cardoso MJ, Silva SD, Souza MG, Veneziani RC, Ambrosio SR, Martins CH (2014) Antibacterial activity of Pinus elliottii and its major compound, dehydroabietic acid, against multidrug-resistant strains. J Med Microbiol 63:1649–1653

    Article  CAS  Google Scholar 

  30. Helfenstein A, Vahermo M, Nawrot DA, Demirci F, Iscan G, Krogerus S, Yli-Kauhaluoma J, Moreira VM, Tammela P (2017) Antibacterial profiling of abietane-type diterpenoids. Bioorg Med Chem 25:132–137

    Article  CAS  Google Scholar 

  31. Imaizumi Y, Sakamoto K, Yamada A, Hotta A, Ohya S, Muraki K, Uchiyama M, Ohwada T (2002) Molecular basis of pimarane compounds as novel activators of large-conductance Ca(2+)-activated K(+) channel alpha-subunit. Mol Pharmacol 62:836–846

    Article  CAS  Google Scholar 

  32. Hsieh YS, Yang SF, Hsieh YH, Hung CH, Chu SC, Yang SH, Chen PN (2015) The inhibitory effect of abietic acid on melanoma cancer metastasis and invasiveness in vitro and in vivo. Am J Chin Med 43:1697–1714

    Article  CAS  Google Scholar 

  33. Kang MS, Hirai S, Goto T, Kuroyanagi K, Lee JY, Uemura T, Ezaki Y, Takahashi N, Kawada T (2008) Dehydroabietic acid, a phytochemical, acts as ligand for PPARs in macrophages and adipocytes to regulate inflammation. Biochem Biophys Res Commun 369:333–338

    Article  CAS  Google Scholar 

  34. Gao Y, Zhaoyu L, Xiangming F, Chunyi L, Jiayu P, Lu S, Jitao C, Liangcai C, Jifang L (2016) Abietic acid attenuates allergic airway inflammation in a mouse allergic asthma model. Int Immunopharmacol 38:261–266

    Article  Google Scholar 

  35. Kettunen H, van Eerden E, Lipinski K, Rinttilä T, Valkonen E, Vuorenmaa J (2017) Dietary resin acid composition as a performance enhancer for broiler chickens. J Appl Anim Nutr 5:e3

    Article  Google Scholar 

  36. Kettunen H, Vuorenmaa J, Rinttilä T, Grönberg H, Valkonen E, Apajalahti J (2015) Natural resin acid-enriched composition as modulator of intestinal microbiota and performance enhancer in broiler chicken. J Appl Anim Nutr 3:e2

    Article  Google Scholar 

  37. Vienola K, Jurgens G, Vuorenmaa J, Apajalahti J (2018) Tall oil fatty acid inclusion in the diet improves performance and increases ileal density of lactobacilli in broiler chickens. Br Poult Sci 59:349–355

    Article  CAS  Google Scholar 

  38. Awad WA, Hess C, Hess M (2017) Enteric pathogens and their toxin-induced disruption of the intestinal barrier through alteration of tight junctions in chickens. Toxins (Basel) 9:E60

    Article  Google Scholar 

  39. Griffiths RI, Whiteley AS, O’Donnell AG, Bailey MJ (2000) Rapid method for coextraction of DNA and RNA from natural environments for analysis of ribosomal DNA- and rRNA-based microbial community composition. Appl Environ Microbiol 66:5488–5491

    Article  CAS  Google Scholar 

  40. Klindworth A, Pruesse E, Schweer T, Peplies J, Quast C, Horn M, Glockner FO (2013) Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res 41:e1

    Article  CAS  Google Scholar 

  41. Bolger AM, Lohse M, Usadel B (2014) Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120

    Article  CAS  Google Scholar 

  42. Masella AP, Bartram AK, Truszkowski JM, Brown DG, Neufeld JD (2012) PANDAseq: pAired-eND Assembler for Illumina sequences. BMC Bioinformatics 13:31

    Article  CAS  Google Scholar 

  43. Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R (2011) UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27:2194–2200

    Article  CAS  Google Scholar 

  44. Edgar RC (2010) Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26:2460–2461

    Article  CAS  Google Scholar 

  45. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glockner FO (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:D590–D596

    Article  CAS  Google Scholar 

  46. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Tumbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R (2010) QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7:335–336

    Article  CAS  Google Scholar 

  47. Bokulich NA, Subramanian S, Faith JJ, Gevers D, Gordon JI, Knight R, Mills DA, Caporaso JG (2013) Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nat Methods 10:57–59

    Article  CAS  Google Scholar 

  48. McMurdie PJ, Holmes S (2013) phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 8:e61217

    Article  CAS  Google Scholar 

  49. Love MI, Huber W, Anders S (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15:550

    Article  Google Scholar 

  50. Langille MG, Zaneveld J, Caporaso JG, McDonald D, Knights D, Reyes JA, Clemente JC, Burkepile DE, Vega Thurber RL, Knight R, Beiko RG, Huttenhower C (2013) Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat Biotechnol 31:814–821

    Article  CAS  Google Scholar 

  51. DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K, Huber T, Dalevi D, Hu P, Andersen GL (2006) Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol 72:5069–5072

    Article  CAS  Google Scholar 

  52. Kembel SW, Wu M, Eisen JA, Green JL (2012) Incorporating 16S gene copy number information improves estimates of microbial diversity and abundance. PLoS Comput Biol 8:e1002743

    Article  CAS  Google Scholar 

  53. Angly FE, Dennis PG, Skarshewski A, Vanwonterghem I, Hugenholtz P, Tyson GW (2014) CopyRighter: a rapid tool for improving the accuracy of microbial community profiles through lineage-specific gene copy number correction. Microbiome 2:11

    Article  Google Scholar 

  54. Kanehisa M, Goto S (2000) KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res 28:27–30

    Article  CAS  Google Scholar 

  55. De Weirdt R, Possemiers S, Vermeulen G, Moerdijk-Poortvliet TC, Boschker HT, Verstraete W, Van de Wiele T (2010) Human faecal microbiota display variable patterns of glycerol metabolism. FEMS Microbiol Ecol 74:601–611

    Article  Google Scholar 

  56. Ducatelle R, Goossens E, De Meyer F, Eeckhaut V, Antonissen G, Haesebrouck F, Van Immerseel F (2018) Biomarkers for monitoring intestinal health in poultry, present status and future perspectives. Vet Res 49:43

    Article  Google Scholar 

  57. Lesniak-Walentyn A, Hrabia A (2016) Expression and localization of matrix metalloproteinases (MMP-2, -7, -9) and their tissue inhibitors (TIMP-2, -3) in the chicken oviduct during maturation. Cell Tissue Res 364:185–197

    Article  CAS  Google Scholar 

  58. Sanfeliciano A, Gordaliza M, Salinero MA, Delcorral JMM (1993) Abietane acids: sources, biological-activities, and therapeutic uses. Planta Med 59:485–490

    Article  CAS  Google Scholar 

  59. Huang P, Zhang Y, Xiao K, Jiang F, Wang H, Tang D, Liu D, Liu B, Liu Y, He X, Liu H, Liu X, Qing Z, Liu C, Huang J, Ren Y, Yun L, Yin L, Lin Q, Zeng C, Su X, Yuan J, Lin L, Hu N, Cao H, Huang S, Guo Y, Fan W, Zeng J (2018) The chicken gut metagenome and the modulatory effects of plant-derived benzylisoquinoline alkaloids. Microbiome 6:211

    Article  Google Scholar 

  60. Kogut MH, Genovese KJ, Swaggerty CL, He HQ, Broom L (2018) Inflammatory phenotypes in the intestine of poultry: not all inflammation is created equal. Poult Sci 97:2339–2346

    Article  Google Scholar 

  61. Kroismayr A, Sehm J, Pfaffl MW, Schedle K, Plitzner C, Windisch W (2008) Effects of avilamycin and essential oils on mRNA expression of apoptotic and inflammatory markers and gut morphology of piglets. Czech J Anim Sci 53:377–387

    Article  CAS  Google Scholar 

  62. de Bruyn M, Vandooren J, Ugarte-Berzal E, Arijs I, Vermeire S, Opdenakker G (2016) The molecular biology of matrix metalloproteinases and tissue inhibitors of metalloproteinases in inflammatory bowel diseases. Crit Rev Biochem Mol Biol 51:295–358

    Article  Google Scholar 

  63. O’Sullivan S, Gilmer JF, Medina C (2015) Matrix metalloproteinases in inflammatory bowel disease: an update. Mediators Inflamm 2015:964131

    Article  Google Scholar 

  64. Olkowski AA, Wojnarowicz C, Chirino-Trejo M, Laarveld B, Sawicki G (2008) Sub-clinical necrotic enteritis in broiler chickens: novel etiological consideration based on ultra-structural and molecular changes in the intestinal tissue. Res Vet Sci 85:543–553

    Article  CAS  Google Scholar 

  65. Hosoyamada Y, Sakai T (2005) Structural and mechanical architecture of the intestinal villi and crypts in the rat intestine: integrative reevaluation from ultrastructural analysis. Anat Embryol (Berl) 210:1–12

    Article  Google Scholar 

  66. Shoulders MD, Raines RT (2009) Collagen structure and stability. Ann Rev Biochem 78:929–958

    Article  CAS  Google Scholar 

  67. Saarialho-Kere UK, Vaalamo M, Puolakkainen P, Airola K, Parks WC, Karjalainen-Lindsberg ML (1996) Enhanced expression of matrilysin, collagenase, and stromelysin-1 in gastrointestinal ulcers. Am J Pathol 148:519–526

    CAS  PubMed  PubMed Central  Google Scholar 

  68. Puthenedam M, Wu F, Shetye A, Michaels A, Rhee KJ, Kwon JH (2011) Matrilysin-1 (MMP7) cleaves galectin-3 and inhibits wound healing in intestinal epithelial cells. Inflamm Bowel Dis 17:260–267

    Article  Google Scholar 

  69. Cunliffe RN (2003) Alpha-defensins in the gastrointestinal tract. Mol Immunol 40:463–467

    Article  CAS  Google Scholar 

  70. Vandenbroucke RE, Vanlaere I, Van Hauwermeiren F, Van Wonterghem E, Wilson C, Libert C (2014) Pro-inflammatory effects of matrix metalloproteinase 7 in acute inflammation. Mucosal Immunol 7:579–588

    Article  CAS  Google Scholar 

Download references

Competing interests

J. Vuorenmaa, E. Valkonen and H. Ketunnen work at Hankija Ltd.

Authors’ contributions

Study design: MA, JV, EV, HK, RD, FVI, EG; Animal experiment: EG; In vitro experiments: MA, CC, EG; Bioinformatics analysis: EG; Preparation of the manuscript: MA, RD, FH, FVI, EG. All authors offered a critical review of the manuscript. All authors read and approved the final manuscript.


The authors would like to thank the Ph.D. students and Postdocs from the department of Pathology, Bacteriology and Avian Diseases from Ghent University who kindly collaborated with the collection of samples from the in vivo trial.

Ethics approval and consent to participate

The study was undertaken following the guidelines of the ethics committee of the Faculty of Veterinary Medicine, Ghent University. As this study concerns a feed trial, no specific ethics approval is needed.


The presented work was funded by a grant from Hankija Ltd.

Publisher’s Note

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

Author information

Authors and Affiliations


Corresponding author

Correspondence to Filip Van Immerseel.

Additional file

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aguirre, M., Vuorenmaa, J., Valkonen, E. et al. In-feed resin acids reduce matrix metalloproteinase activity in the ileal mucosa of healthy broilers without inducing major effects on the gut microbiota. Vet Res 50, 15 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: