Next Article in Journal
Spatio-Temporal Trends in Wildlife-Vehicle Collisions: Implications for Socio-Ecological Sustainability
Previous Article in Journal
Meta-Analysis of Incorporating Glucosinolates into Diets and Their Effects on Ruminant Performance, Ruminal Fermentation, Methane Emissions, Milk Composition, and Metabolic Biochemical Attributes
Previous Article in Special Issue
Oral Administration of L-Arginine Improves the Growth and Survival of Sow-Reared Intrauterine Growth-Restricted Piglets
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of Grape Seed Proanthocyanidins on Growth Performance, Jejunal Antioxidant Capacity, Gut Microbial Diversity, and Metabolites in Kangle Chickens

1
College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China
2
College of Life Science and Resources and Environment, Yichun University, Yichun 336000, China
*
Authors to whom correspondence should be addressed.
Animals 2025, 15(10), 1481; https://doi.org/10.3390/ani15101481
Submission received: 20 March 2025 / Revised: 9 May 2025 / Accepted: 13 May 2025 / Published: 20 May 2025
(This article belongs to the Collection Comparative Animal Nutrition and Metabolism)

Simple Summary

This study examined the effects of dietary supplementation with grape seed proanthocyanidins (GSPs) on the growth performance, intestinal health, and metabolic functions of Chinese indigenous Kangle chicken (Gallus gallus). The results demonstrated that dietary supplementation with 400 mg/kg of the GSPs significantly increased their liver and jejunal indices while reducing the depth of the jejunal crypt. It might also reduce intestinal oxidative stress levels, as indicated by reduced malondialdehyde (MDA) contents. Furthermore, the GSPs modulated the metabolite composition in the jejunal content, resulting in the upregulation of physiological functions associated with protein nutrition, bile acid metabolism, and free radical scavenging, which would be beneficial for maintaining intestinal health. Supplementing feed with 400 mg/kg GSPs is beneficial for promoting health in Kangle chickens.

Abstract

This study examined the effects of dietary supplementation with grape seed proanthocyanidins (GSPs) on the growth performance, serum biochemistry, jejunal antioxidant capacity, and jejunal microbiota and metabolites in Chinese indigenous Kangle chicken. In this experiment, 120 female Kangle chickens aged 30 days old were randomly allocated into three treatment groups: a control group (CON) fed a standard diet and two experimental groups fed diets supplemented with 200 mg/kg (LGSP) or 400 mg/kg (HGSP) of GSPs. The experiment consisted of a 7-day adaptation period followed by a 30-day feeding trial. The results demonstrated that GSP supplementation did not significantly improve their average daily gain or feed efficiency. However, the HGSP group showed significant improvements in their liver and jejunal indices, a reduced jejunal crypt depth, and increased villus-height-to-crypt-depth ratios compared to these values in the CON group. Furthermore, the HGSP group also exhibited elevated concentrations of cholesterol in their serum. Additionally, the oxidative stress levels were probably reduced in the jejuna of the HGSP group, as evidenced by reduced malondialdehyde (MDA) contents. Although jejunal microbial diversity remained unchanged, the metabolomic analysis identified significant upregulation of jejunal metabolites, particularly those associated with free radical scavenging, protein nutrition, and bile acid metabolism, which would be beneficial for maintaining intestinal health. These findings indicate that supplementing their diet with 400 mg/kg of GSPs could improve the health of Kangle chickens, underscoring their potential as a functional feed additive in the production of indigenous Chinese chickens.

1. Introduction

Grape seed proanthocyanidins (GSPs) are polyphenolic compounds isolated from grape seeds, primarily composed of flavan-3-ol monomers (such as catechin and epicatechin) that are polymerized via C4–C8 or C4–C6 interflavan bonds to form oligomers and higher polymers. Monomers, dimers, and trimers are partially absorbed through passive diffusion or paracellular transport, whereas the other polymers mainly undergo intestinal microbial catabolism to generate phenolic acids prior to systemic absorption [1]. It has been reported that polyphenolic compounds engage in antioxidant defense through multifaceted mechanisms. Primarily, they directly scavenge reactive oxygen species (ROS) and reactive nitrogen species (RNS), thereby attenuating oxidative-stress-mediated cellular damage. Furthermore, these compounds enhance the systemic antioxidant capacity by activating the nuclear factor erythroid 2-related factor 2 (Nrf2) signaling cascade and modulating the transcriptional regulation of cytoprotective enzymes [2]. Additionally, their catechol moieties enable the chelation of free divalent iron ions, which suppresses iron absorption, disrupts Fenton reaction kinetics, and impedes hydroxyl radical formation [3]. Studies have shown that dietary supplementation with 400 mg/kg of GSPs significantly improved the feed efficiency in 21-day-old broilers while increasing the serum total antioxidant capacity (T-AOC) and glutathione peroxidase (GSH-Px) and catalase (CAT) activities and reducing malondialdehyde (MDA) levels [4]. Supplementation of their feed with 250 mg/kg of GSPs effectively reduced the serum levels of inflammatory cytokines induced by aflatoxin B1 in broilers and upregulated the expression of genes downstream of the Nrf2 pathway such as heme oxygenase-1 (HO-1), glutathione peroxidase 1 (GPX1), NAD(P)H quinone dehydrogenase 1 (NQO1), and the glutamate cysteine ligase catalytic subunit (GCLC), thereby enhancing the antioxidant defense system [5]. Furthermore, in vitro experiments demonstrated that treatment with 5 μg/mL of GSPs for 72 h significantly reduced the ROS levels in D-galactose (D-GAL)-induced chicken ovarian tissues, increased the activities and gene expression of the antioxidant enzymes GSH-Px and superoxide dismutase (SOD), and decreased the MDA contents [6]. These findings indicate that GSPs exhibit a robust antioxidant capacity in both in vivo and in vitro systems.
Intestinal health is closely linked to animal production performance. The intestinal tract plays a crucial role in digesting feed and assimilating nutrients, which significantly impacts development and overall performance [7]. Additionally, it has been reported that GSPs regulate intestinal metabolism through multiple pathways, improving the gut’s physiological functions. Gong et al. [8] reported that GSP supplementation significantly increased the intestinal villus height and the villus-height-to-crypt-depth ratio in H2O2-stressed weaned rabbits, enhanced the activities of intestinal antioxidant enzymes, and reduced the MDA contents. Furthermore, dietary supplementation with grape seed extract (GSE) significantly increased the abundance of Enterococcus in the ileum and Escherichia, Lactobacillus, Enterococcus, and Clostridium in the cecum, thereby facilitating equilibrium between beneficial and pathogenic bacterial populations [9]. Additionally, dietary GSPs elevated cecal metabolites such as acetic acid, propionic acid, and butyric acid in geese, which are beneficial for maintaining intestinal health [10]. Collectively, these findings demonstrate that GSPs enhance intestinal functionality by improving intestinal morphology, reducing tissue stress levels, and modulating the gut’s microbial composition and metabolite profiles.
However, the effects of GSPs on indigenous Chinese chicken breeds have yet to be comprehensively elucidated, and their impacts on the jejunal microbiota and metabolome remain poorly characterized. This study elucidates the effects of GSPs on growth performance and intestinal health in Kangle chickens (Gallus gallus), a highly adaptable indigenous breed, thereby bridging this knowledge gap.

2. Materials and Methods

2.1. The Experimental Animals and Treatments

This experiment was ethically approved by the Animal Management and Use Committee of Yichun College (JXSTUDKY2022009). A total of 120 female Kangle chickens aged 30 days old and of similar body weights were randomly selected from a flock at the Yichun University breeding base. The chickens were housed in rectangular cages with a stocking density of 0.07 m2 per bird. Each cage was equipped with a nipple-type automatic drinking system. During the experimental period, the ambient temperature was rigorously controlled within a range of 20–26 °C, with dynamic adjustments implemented in response to the spatial distribution patterns of the flock, while the relative humidity was maintained at 50–60%, and a standardized 12 h photoperiod was consistently applied. Ad libitum access to feed and water was provided, with daily manure removal protocols enforced to uphold sanitary standards. The birds were allocated into three treatment groups, with each group consisting of eight replicates containing five chickens. The groups were treated as follows: (1) the control group (CON) was fed a basal diet; (2) the low-dose grape seed proanthocyanidin (LGSP) group was fed a basal diet supplemented with 200 mg/kg of GSPs; and (3) the high-dose grape seed proanthocyanidin (HGSP) group was fed a basal diet supplemented with 400 mg/kg of GSPs. The standard diet was designed in compliance with the Chicken Feeding Standard (NY/T 33-2004) [11]. The composition and nutritional profile of the experimental basal diet are detailed in Table 1. The dietary intervention trial lasted 37 days, consisting of a 7-day acclimation period followed by a 30-day experimental phase for systematic data acquisition. The dietary GSPs (with a purity > 98%) were procured from Shandong Jiade Biotechnology Co., Ltd. (Dezhou, China), with oligomeric proanthocyanidins constituting 75.4% of the total proanthocyanidin content, and the dosage selection was informed by established dose–response relationships in chicken models [4].

2.2. The Sample Collection and Processing

At the conclusion of the feeding trial, the experimental chickens were subjected to a 12 h fasting period, and their body weights were recorded. Whole blood samples were collected from the brachial vein and centrifuged at 1500× g for 10 min to isolate the serum, which was transferred into cryogenic vials and stored at −80 °C. One bird per replicate was euthanized via jugular venipuncture exsanguination under the ethical guidelines. The hepatic, jejunal, and splenic tissues were aseptically excised using sterile instruments, fat and connective tissue were carefully stripped from the surface, and they were weighed to determine the organ indices. A 4 cm segment of the proximal jejunum was dissected, debrided of extraneous adipose tissue, and longitudinally incised, and the luminal contents were flushed using three sequential saline lavages (0.9% NaCl). The anterior segment was fixed in 4% neutral-buffered paraformaldehyde (pH 7.4) for the histomorphometric analysis, whereas the posterior segment was snap-frozen in liquid nitrogen for antioxidant profiling. The residual jejunal tissue was cut longitudinally with scissors, and the contents were surgically harvested using dissection forceps, immediately flash-frozen, and archived at −80 °C.

2.3. Measurement of the Indicators and Methods

2.3.1. Growth Performance

Their body weights were measured at the beginning (initial body weight, IBW) and conclusion (final body weight, FBW) of the study. Their feed consumption was recorded daily, and metrics such as their daily weight gain (ADG), average daily feed intake (ADFI), and feed conversion ratio (FCR) were calculated. The organ indices, including the liver index (LI), the jejunum index (JI), and the spleen index (SI), were determined based on the organ weights relative to body weight.

2.3.2. Serum and Jejunal Tissue Indicators

The concentrations of total protein (TP), albumin (ALB), aspartate aminotransferase (AST), alanine aminotransferase (ALT), glucose (GLU), triglycerides (TGs), and total cholesterol (TC) in the serum were analyzed using the Hitachi 7180 Automatic Biochemical Analyzer (Hitachi, Tokyo, Japan). The jejunal antioxidant capacity, including T-AOC (A015-3-1) and SOD (A001-1), CAT (A007-1-1), GSH-Px (A005-1), and MDA (A003-1) contents, was assessed using commercial kits (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) with the AF2200 Pro Microplate Reader (Eppendorf, Hamburg, Germany).

2.3.3. Jejunal Histology

The jejunal tissues fixed in 4% paraformaldehyde were dehydrated, embedded into paraffin, sectioned, and stained using hematoxylin and eosin (HE). Villus height (VH), crypt depth (CD), and the ratio of villus height to crypt depth (V/C) were observed and measured using the BX43F upright microscope (Olympus, Tokyo, Japan).

2.4. Microbiota 16s rRNA Sequencing of the Jejunal Contents

Samples of the jejunal content from the CON and HGS groups were retrieved from the −80 °C cryopreservation unit and transferred to Shanghai Personal Biotechnology Co., Ltd. (Shanghai, China) for Illumina NovaSeq 6000 platform-based 16S rRNA gene sequencing. The experimental workflow comprised the following steps: the intestinal content specimens (0.2–0.5 g) underwent total genomic DNA extraction, with the DNA concentration and purity assessed using a NanoDrop NC2000 spectrophotometer (Thermo, Waltham, MA, USA). The hypervariable V3–V4 regions of bacterial 16S rRNA genes were amplified by employing universal primers (341F: 5′-ACTCCTACGGGAGGCAGCA-3; 806R: 5′-GGACTACHVGG GTWTCTAAT-3′), followed by 2% agarose gel electrophoresis and recycling of the target fragments via the AxyPrep DNA Gel Recovery Kit (Axygen, Corning, NY, USA). Purified amplicons were quantified via the Quant-iT PicoGreen dsDNA Assay Kit (Invitrogen, Carlsbad, CA, USA). Equimolar pools (30 ng/library) were prepared for Illumina-compatible library construction using the TruSeq Nano DNA LT Library Prep Kit (Illumina, San Diego, CA, USA). The final libraries were normalized to 2 nM, denatured with 0.1 N NaOH, and sequenced (2 × 250 bp paired-end) on the NovaSeq 6000 platform (Illumina, San Diego, CA, USA).

2.5. The Metabolomic Analysis of the Jejunal Contents

Untargeted metabolomic profiling was carried out utilizing liquid chromatography–mass spectrometry (LC-MS) by Shanghai Personal Biotechnology Co., Ltd. Eight samples were extracted and then separated using an Agilent 1290 Infinity LC UHPLC (Agilent, Santa Clara, CA, USA) and subsequently analyzed using a Triple TOF 6600 (Agilent, Santa Clara, CA, USA). Detection was performed in both electrospray ionization (ESI) positive and negative ion modes. The mass-to-charge ratio (m/z) range was set to 60–1000 Da for primary ion detection and 25–1000 Da for secondary fragment ion detection. Raw data were analyzed using ProteoWizard v3.0.2 and XCMS v3.7.1 software to align peaks, adjust the retention times, and extract the peak intensities. Metabolites were structurally identified by matching their molecular mass, collision energy, retention time, and secondary fragmentation spectra with these values in the databases. The identification level was confirmed to be Level 2 or higher, ensuring a high degree of confidence in the metabolite annotations. The metabolomics data were uploaded to MetaboLights with the study identifier MTBLS12181.

2.6. The Statistical Analysis

The data were preliminarily organized using WPS Office. The normality of the data was assessed using the Shapiro–Wilk test in SPSS v22.0 (SPSS Inc., Chicago, IL, USA). A one-way ANOVA with LSD post hoc testing was applied for a significance analysis, and the results were expressed as the mean and the error of the mean (SEM).
For 16S rRNA microbiome profiling, operational taxonomic unit (OTU) feature sequences were aligned against reference sequences from the Greengenes database v13.8 to assign taxonomic classifications. The microbial diversity analysis was performed in QIIME2 v2023.2, with alpha diversity assessed via the Kruskal–Wallis test and beta diversity visualized through non-metric multidimensional scaling (NMDS). Intergroup differences were evaluated using a permutational multivariate analysis of variance (PERMANOVA). Differentially abundant taxa were identified using MetagenomeSeq and visualized in Manhattan plots. Predictive functional profiling of the microbial communities was conducted using PICRUSt2 v2.5.2 and the MetaCyc database v2023.05.
For metabolomic sequencing, metabolite identification was conducted using a combination of a locally constructed database and public database searches including Metlin, the Human Metabolome Database (HMDB), mzCloud, and MassBank. The preprocessed data were subjected to a multivariate statistical analysis using the ropls package in R v4.4.2. An orthogonal partial least squares discriminant analysis (OPLS-DA) was employed to identify differential metabolites. An enrichment analysis of the metabolic pathways was performed based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The cluster analysis utilized a Euclidean distance matrix with complete linkage, and visualization was executed via the GenesCloud platform (https://www.genescloud.cn, (accessed on 10 January 2025)).

3. Results

3.1. The Effects of Dietary GSPs on the Growth Performance of Kangle Chickens

As shown in Table 2, compared to the CON group, both the LGSP and HGSP groups exhibited no statistical significance in their FBW, ADG, and FCRs (p > 0.05).

3.2. The Effects of Dietary GSPs on the Visceral Organ Indices of the Kangle Chickens

According to Table 3, the LIs and JIs were notably increased in the HGSP group compared to those in the CON group (p < 0.05), whereas the LGSP group showed no significant changes (p > 0.05). Additionally, compared to the CON group, the SI did not show significant changes in either the LGSP or HGSP group (p > 0.05).

3.3. The Effects of the Dietary GSPs on the Serum Biochemical Parameters of the Kangle Chickens

As shown in Table 4, compared to those in the CON group, the serum levels of ALB, AST, ALT, and TP did not show significant changes in the GSP-supplemented groups (p > 0.05). However, the serum GLU concentrations manifested a marked reduction in the LGSP group (p < 0.05), whereas no statistically significant alterations were observed in the HGSP group (p > 0.05). Additionally, TC levels exhibited a significant differential change in the HGSP group relative to those in the CON group (p < 0.05).

3.4. The Effects of the Dietary GSPs on the Jejunal Morphology of Kangle Chickens

As shown in Table 5, compared to that in the CON group, the jejunal VH did not differ significantly in the experimental groups (p > 0.05). However, the HGSP group exhibited a significant reduction in CD (p < 0.05) and a significant increase in the V/C (p < 0.05).

3.5. The Effects of the Dietary GSPs on the Jejunal Antioxidant Capacity of the Kangle Chickens

According to Table 6, no significant variations were observed in the T-AOC or SOD or GSH-Px activity in the jejunal tissues of the experimental groups compared to these values in the CON group (p > 0.05). However, the CAT activity was notably lower in both the LGSP and HGSP groups (p < 0.05). Furthermore, MDA exhibited a significant decrease in the HGSP group (p < 0.05).

3.6. The Effects of the GSPs on the Jejunal Microbiota Composition in the CON and HGSP Groups

3.6.1. Analysis of the Jejunal Microbiota Composition

The analysis of the 16S rRNA sequencing data yielded an average of 76,653 high-quality bacterial gene sequences per sample, with an average read length of 430 base pairs. As illustrated in Figure 1, a combined total of 3429 OTUs were detected across all samples. Among these, the CON group contained 1315 unique OTUs (38.35% of the total OTUs), while the HGSP group contained 1557 unique OTUs (40.19% of the total OTUs). Both groups shared 557 OTUs, accounting for 45.41% of the total OTUs.
At the phylum level, no significant differences were observed between the CON and HGSP groups (p > 0.05), and the dominant phylum in the jejunum was Firmicutes, accounting for over 90% of the total microbiota. The top 10 genera in both groups included Limosilactobacillus, Lactobacillus, Ligilactobacillus, Ruminococcus, Blautia, Liquorilactobacillus, Rothia, Faecalibacterium, and Thermophilibacter (Figure 2). Among these, Limosilactobacillus, Lactobacillus, and Ligilactobacillus were the dominant genera. In the CON group, their relative abundances were 51.97%, 37.44%, and 1.86%, respectively, while in the HGSP group, they were 46.75%, 33.59%, and 11.59%, respectively.

3.6.2. The Analysis of the Jejunal Microbiota Diversity Between the CON and HGSP Groups

The alpha diversity indices of the jejunal microbiota were calculated, followed by an intergroup comparative analysis. Compared to those in the CON group, the HGSP group showed no significant differences in its alpha diversity indices, including the Simpson, Chao1, Shannon, and Pielou indices (p > 0.05), suggesting that the dietary GSPs did not significantly affect the alpha diversity of the jejunal microbiota in the Kangle chickens. The beta diversity analysis, visualized using NMDS (Figure 3), revealed a stress value of less than 0.05, indicating that the NMDS plot accurately reflected the similarity structure between samples. The overlapping confidence ellipses of the CON and HGSP groups further suggested minimal differences between the two groups. Permanova testing revealed that the variations observed between the groups were not statistically meaningful (p > 0.05).

3.6.3. Analysis of the Differential Microbial Taxa Between the CON and HGSP Groups

Differences in microbial composition between samples are often driven by changes in specific taxa rather than the entire community. As shown in Figure 4, the dietary GSPs significantly elevated the relative abundance of three bacterial taxa (p < 0.05) compared to that in the CON group, including an OTU classified under the genus UBA6857 (sp. 902792985) and two uncharacterized lineages. Conversely, six taxa exhibited statistically significant depletion (p < 0.05), comprising Aerococcaceae (from the Blautia genus), sp. 902363595 (from the BX12 genus), and four taxonomically unclassified taxa.

3.7. The Metabolomic Analysis of the Jejunal Contents Between the CON and HGSP Groups

3.7.1. The Chemical Composition of the Jejunal Metabolites

Metabolites in the jejunal contents were structurally identified using the established methods, with manual verification ensuring a confidence level of Level 2 or above. Overall, 2328 metabolites were detected, comprising 1359 in positive ionization mode and 969 in negative ionization mode. These metabolites were classified based on their chemical categories and visualized in a pie chart (Figure 5). The majority of the metabolites belonged to the following classes: Organoheterocyclic compounds (468 metabolites), Organic acids and derivatives (326 metabolites), Benzenoids (280 metabolites), Lipids and lipid-like molecules (238 metabolites), Shikimates and Phenylpropanoids (102 metabolites), Amino acids and Peptides (98 metabolites), Phenylpropanoids and polyketides (87 metabolites), Organic oxygen compounds (85 metabolites), Alkaloids (83 metabolites), and Fatty acids (80 metabolites). The remaining 481 metabolites were classified into other categories.

3.7.2. The Statistical Analysis of the Differentially Abundant Metabolites Between the CON and HGSP Groups

An orthogonal partial least squares discriminant analysis (OPLS-DA) was performed to qualitatively analyze the metabolites in the jejunal contents of the CON and HGSP groups. The Q2 values for both the positive and negative ion modes exceeded 0.5, indicating that the model was stable and reliable. As shown in Figure 6, distinct clustering of the CON and HGSP groups was evident, indicating notable variations in their metabolic patterns.

3.7.3. Identification and Classification of Differentially Abundant Metabolites

The results on the expression of all metabolites are shown in Supplementary Table S1. Using the criteria in the OPLS-DA of a VIP > 1, p < 0.05, and Log2FC > 2, a total of 29 differentially abundant metabolites were identified in both the positive and negative ion modes (p < 0.05). Among these, 20 metabolites were upregulated and 9 were downregulated in the HGSP group compared to the CON group. These metabolites were classified based on their chemical categories and visualized in a pie chart (Figure 7). The majority of the differentially abundant metabolites were classified into the following classes: Organoheterocyclic compounds (11 metabolites), Lipids and lipid-like molecules (5 metabolites), Benzenoids (3 metabolites), and Organic acids and derivatives (3 metabolites). A hierarchical clustering analysis was performed on the significantly different metabolites, and a heatmap was generated (Figure 8). The heatmap revealed clear clustering of the metabolites between the two groups. For clarity, some metabolite names with long descriptions were abbreviated, with the full names provided in Supplementary Table S1. Among the 20 upregulated metabolites in the HGSP group, 7 were oligopeptides (5 of which contained tryptophan), 5 were drugs or their derivatives, and 4 were heterocyclic compounds (including DMTDT, which contains a thioketone group, and 3-DTIQP, a phenolic compound), and the remaining 4 included a polyhydroxy glycoside (6-DHMGMG-OxCPG), a bile acid derivative (CA/MCA-Ala), N-Acetylhistamine, and a prostaglandin analog (16-PTNPGF2α-MA).

3.7.4. The Enrichment Analysis of the Differentially Abundant Metabolites

The enrichment analysis of the differentially abundant metabolites between the CON and HGSP groups is shown in Figure 9. Due to the predominance of metabolic derivatives among the identified metabolites, only a limited number of pathways were enriched. The histidine metabolism pathway was significantly upregulated in the HGSP group compared to the CON group (p < 0.05), while arginine biosynthesis, cyanoamino acid metabolism, amino acid biosynthesis, metabolic pathways, and secondary metabolite biosynthesis were downregulated (p < 0.05).

4. Discussion

It has been reported that GSPs reduce oxidative damage by neutralizing reactive oxygen species and stimulating the cellular pathways associated with antioxidant activity [13]. They also play a significant role in immune regulation and antibacterial activity, potentially improving animal health, maintaining organ function, and enhancing feed efficiency and productivity [14]. Nevertheless, this research found that supplementing their diet with GSPs did not lead to a notable enhancement in the growth metrics of Kangle chickens. This discrepancy in the results may be due to factors such as differences in the concentration of the GSPs and the experimental animals, which may have limited the growth-promoting effects of the GSPs. Farahat et al. [15] similarly reported that continuous supplementation of 145–2000 mg/kg of GSE into broilers’ diets did not significantly affect the growth traits of the broilers between 0 and 42 days, consistent with the findings of this study.
Organ indices, defined as the ratio of organ weights to live body weight, are indicative of organs’ functional capacity [16]. The intestinal tract plays a critical role in digesting feed, absorbing nutrients, and supporting immune responses, with its structural integrity being critical to maintaining selective barrier functions [17]. This study demonstrated that dietary supplementation with 400 mg/kg of the GSPs not only significantly increased the jejunal index but also enhanced the villus-height-to-crypt-depth ratio (V/C). These findings align with previous research by Erinle et al. [18], who observed substantial elevation in the V/C ratio in both the duodenum and jejunum of broilers fed grape-pomace-supplemented diets. These results indicate that the GSP intervention might have improved intestinal morphology and enhanced intestinal function.
Serum biochemical parameters serve as critical indicators of animal health and nutritional metabolism, reflecting the internal environment and physiological status of an organism [19,20]. This study demonstrated that the 400 mg/kg GSP supplementation significantly increased serum TC levels in the Kangle chickens, suggesting an improved nutritional status. This is consistent with the observed increases in their liver and jejunum indices, suggesting enhanced organ function leading to improved nutrient utilization. However, some studies have reported that procyanidine interferes with adipocyte differentiation and lipid metabolism in the liver, leading to reduced plasma TC and TG levels [21,22,23], which contrasts with the findings of this study. These discrepancies may be due to differences in the experimental conditions in their studies, such as high-fat diets or hyperlipidemic animal models. In this study, the chickens were in a growth phase with generally low nutritional levels, and the GSPs likely enhanced nutrient absorption, thereby promoted normal growth and development, indicating that GSPs modulate lipid metabolism in a context-dependent manner.
Accumulating evidence indicates that GSPs activate the Nrf2 signaling pathway, orchestrate the transcriptional regulation of antioxidant enzymes, and reduce the level of oxidative stress in the body [24,25]. The Nrf2-Keap1-ARE axis constitutes a pivotal defense mechanism against oxidative stress. Under oxidative challenge, Nrf2 dissociates from its cytoplasmic repressor Kelch-like ECH-associated protein 1 (Keap1), translocates into the nucleus, and binds to antioxidant response elements (AREs) to transactivate cytoprotective genes downstream [26]. Supporting this paradigm, Cao et al. [4] reported that broilers receiving 200 and 400 mg/kg of GSPs from hatching exhibited a significant increase in their serum GSH-Px activity and a reduction in their MDA levels by 21 days post-hatch. Wang et al. [27] demonstrated that 100 mg/kg GSP supplementation in oxidized oil-fed broilers significantly elevated their hepatic GSH-Px activity while suppressing MDA accumulation. In alignment with these studies, our results revealed that the 400 mg/kg GSP supplementation significantly reduced the jejunal MDA contents in Kangle chickens, while GSH-Px activity showed a numerical increase that did not reach statistical significance, which may be attributed to breed-specific variations. These findings suggest that GSPs probably enhance the intestinal antioxidant capacity in Kangle chickens and substantiate the antioxidative efficacy of GSPs in livestock.
The microbial community in the gut is essential for supporting animal health, development, and efficient nutrient utilization, with its composition being shaped by factors such as diet, age, and management practices [28]. The jejunum, a key site for nutrient digestion and absorption, has a lower microbial density compared to that of the cecum due to faster digesta passage [29]. This study identified fewer microbial species in the jejunum, which was consistent with previous findings. Dietary polyphenols can function as prebiotics, promoting beneficial bacteria and inhibiting harmful ones [30,31]. Although studies have shown that GSPs might increase the abundance of certain beneficial cecal bacteria, no significant alterations in the microbial diversity indices have been observed [4,18], which aligns with the results of this study.
Metabolomics refers to a comprehensive analysis of the metabolites or small molecules within a specific biological system. Metabolites can be classified into two main categories based on their origin and function: endogenous and exogenous. Endogenous metabolites are generated through intrinsic metabolic processes, including catabolism and anabolism, and are highly conserved across organisms. Exogenous metabolites, commonly referred to as xenobiotics, primarily originate from dietary intake or environmental exposure and display significant variability. Factors such as dietary habits, environmental exposure, and the composition and activity of the gut microbiota can profoundly influence the exogenous metabolome. In recent years, accumulating evidence has highlighted the significant impact of gut metabolites on host health [32,33,34].
Using LC-MS technology, this study identified 20 significantly upregulated metabolites in the jejunal contents of the Kangle chickens supplemented with 400 mg/kg of GSPs. Among these metabolites, six dipeptides and one tripeptide were detected. Dipeptides and tripeptides represent the primary forms of protein digestion and absorption, exhibiting a higher absorption efficiency compared to that for free amino acids [35]. They promote protein synthesis and cellular metabolism and contribute to antioxidant defense by donating hydrogen atoms to directly neutralize free radicals [36]. Among the six dipeptides detected, five contained tryptophan (Trp), an essential amino acid characterized by an indole ring structure [37]. Tryptophan is metabolized via the kynurenine, serotonin, and indole pathways, producing bioactive compounds such as kynurenine and serotonin, which play pivotal roles in regulating inflammation, immunity, and neural function [38,39]. Furthermore, tryptophan-containing dipeptides and tripeptides demonstrate significant antioxidant activity, primarily due to the indole ring structure of tryptophan [40].
Among the upregulated metabolites in the HGSP group, 6-DHMGMG-OxCPG is a polyhydroxy glycoside characterized by a cyclopentapyran ring, an epoxyethane ring, β-D-glucosyl, and α-L-mannosyl groups, with a feruloyl group esterified at the 3-position in α-L-mannosyl. The feruloyl moiety, which contains a phenolic hydroxyl group, can neutralize free radicals and chelate metal ions [41]. This compound exhibits structural and functional similarities to GSPs, indicating that it may represent an activated form of GSPs in the intestine. CA/MCA-Ala is a bile acid derivative formed through the conjugation of cholic acid with alanine. The conjugation with alanine may enhance the hydrophilicity of the molecule, thereby modulating its activity. Studies have shown that bile acids not only facilitate the solubilization and absorption of cholesterol and fat-soluble vitamins in the small intestine [42] but also exert a negative feedback effect to inhibit the rate-limiting enzyme of cholesterol synthesis (HMG-CoA reductase) in hepatocytes, thereby maintaining cholesterol homeostasis [43,44]. Furthermore, high concentrations of bile acids inhibit the growth of Gram-positive bacteria, such as Clostridium species, playing a crucial role in preserving the balance of the gut microbiota [45].
The enrichment analysis of the differentially abundant metabolites demonstrated that histidine metabolism was significantly upregulated in the high-dose GSP (HGSP) group. Histidine, an essential amino acid required for protein synthesis, is involved in numerous metabolic processes [46]. It acts as a precursor to the neurotransmitter histamine, which is synthesized by histidine decarboxylase and plays a crucial role in neural regulation [46]. Furthermore, histidine contributes to antioxidant defense through its imidazole side chain, which functions as a proton donor and acceptor, allowing it to neutralize free radicals and buffer cellular redox states [47]. Histidine metabolites, including urocanic acid, provide photoprotection and exhibit antioxidant effects in skin tissues [48]. Histidine also serves as the metabolic precursor to the antioxidant dipeptide carnosine. Carnosine exerts its cytoprotective effects by neutralizing free radicals, inhibiting lipid peroxidation, and suppressing the formation of advanced glycation end products (AGEs)—key molecular mediators implicated in oxidative stress and cellular aging [49].

5. Conclusions

In conclusion, dietary supplementation with 400 mg/kg of GSPs significantly enhanced intestinal function and reduced jejunal oxidative stress levels in Kangle chicken. Additionally, the dietary GSPs modulated the composition of jejunal metabolites, with the upregulated metabolites linked with protein and lipid digestion and absorption. Many of these metabolites exhibit free radical scavenging properties, consistent with the observed improvements in jejunal function and reduced oxidative stress. Nevertheless, these findings provide foundational insights into the application of GSPs as a functional feed additive in the production of indigenous Chinese chickens.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ani15101481/s1. Table S1: The results on the expression of all metabolites.

Author Contributions

Conceptualization: Q.W., X.Z. and Y.Z.; Methodology: Q.F.; Software: Q.F. and X.Y.; Validation: L.Z. (Lijun Zhou) and J.S.; Formal analysis: W.H. and L.Z. (Lucheng Zheng); Investigation: W.H.; Resources: Q.W.; Data curation: Q.F.; Writing—original draft preparation: Q.W.; Writing—review and editing: Q.F., X.Z. and Y.Z.; Supervision: Q.W.; Project administration: X.Z. and Y.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (Grant No. 32202762) and the Science and Technology Research Project of the Education Department of Jiangxi Province (Grant No. GJJ211628).

Institutional Review Board Statement

The animal study protocol was approved by the Medical Ethics Committee of Yichun University, Yichun, China (protocol code: JXSTUDKY2022009; approved on 1 September 2022). The animals used in this study were derived from commercial sources, and the owners’ consent was not required.

Informed Consent Statement

Not applicable.

Data Availability Statement

We have uploaded the sequencing raw data for this study to the MetaboLights database (https://www.ebi.ac.uk/metabolights/reviewer52a0a096-064f-4666-8396-1fe0fee917c9, (accessed on 16 January 2025)) under reference number MTBLS12181.

Acknowledgments

Thanks are given to the National Natural Science Foundation of China and the Science and Technology Research Project of the Education Department of Jiangxi Province for their financial support of this work.

Conflicts of Interest

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

References

  1. Zhang, L.; Wang, Y.; Li, D.; Ho, C.T.; Li, J.; Wan, X. The absorption, distribution, metabolism and excretion of procyanidins. Food Funct. 2016, 7, 1273–1281. [Google Scholar] [CrossRef]
  2. Lin, C.C.; Lin, H.H.; Chang, H.; Chen, Y.C.; Lin, W.Y. Prophylactic effects of purple shoot green tea on cytokine immunomodulation through scavenging free radicals and NO in LPS-stimulated macrophages. Curr. Issues Mol. Biol. 2022, 44, 3980–4000. [Google Scholar] [CrossRef] [PubMed]
  3. Eghbaliferiz, S.; Iranshahi, M. Prooxidant Activity of Polyphenols, Flavonoids, Anthocyanins and Carotenoids: Updated Review of Mechanisms and Catalyzing Metals. Phytother. Res. 2016, 30, 1379–1391. [Google Scholar] [CrossRef]
  4. Cao, G.; Zeng, X.; Liu, J.; Li, X.; Zhang, Y. Change of serum metabolome and cecal microflora in broiler chickens supplemented with grape seed extracts. Front. Immunol. 2020, 11, 610934. [Google Scholar] [CrossRef] [PubMed]
  5. Rajput, S.A.; Sun, L.; Zhang, N.Y.; Khalil, M.M.; Ling, Z.; Chong, L.; Wang, S.; Rajput, I.R.; Bloch, D.M.; Khan, F.A.; et al. Grape Seed Proanthocyanidin Extract Alleviates AflatoxinB1-Induced Immunotoxicity and Oxidative Stress via Modulation of NF-κB and Nrf2 Signaling Pathways in Broilers. Toxins 2019, 11, 23. [Google Scholar] [CrossRef] [PubMed]
  6. Liu, X.; Lin, X.; Mi, Y.; Li, J.; Zhang, C. Grape Seed Proanthocyanidin Extract Prevents Ovarian Aging by Inhibiting Oxidative Stress in the Hens. Oxid. Med. Cell. Longev. 2018, 2018, 9390810. [Google Scholar] [CrossRef]
  7. Rodrigues, I.; Choct, M. The foregut and its manipulation via feeding practices in the chicken. Poult. Sci. 2018, 97, 3188–3206. [Google Scholar] [CrossRef]
  8. Gong, M.; Liu, L.; Li, F.; Chen, J. Grape Seed Proanthocyanidin Extract Improves Growth Performance and Protects Against Hydrogen Peroxide-Induced Oxidative Stress to the Liver and Intestine in Weaned Hyla Rabbits. Animals 2025, 15, 327. [Google Scholar] [CrossRef]
  9. Viveros, A.; Chamorro, S.; Pizarro, M.; Arija, I.; Centeno, C.; Brenes, A. Effects of dietary polyphenol-rich grape products on intestinal microflora and gut morphology in broiler chicks. Poult. Sci. 2011, 90, 566–578. [Google Scholar] [CrossRef]
  10. Deng, C.; Zhai, Y.; Yang, X.; Chen, Z.; Li, Q.; Hao, R. Effects of grape seed procyanidins on antioxidant function, barrier function, microbial community, and metabolites of cecum in geese. Poult. Sci. 2023, 102, 102878. [Google Scholar] [CrossRef]
  11. NY/T 33-2004; Feeding Standards for Chickens. Ministry of Agriculture and Rural Affairs: Beijing, China, 2004.
  12. Cozannet, P.; Jlali, M.; Moore, D.; Archibeque, M.; Preynat, A. Evaluation of phytase dose effect on performance, bone mineralization, and prececal phosphorus digestibility in broilers fed diets with varying metabolizable energy, digestible amino acids, and available phosphorus concentration. Poult. Sci. 2023, 102, 102755. [Google Scholar] [CrossRef] [PubMed]
  13. Bagchi, D.; Swaroop, A.; Preuss, H.G.; Bagchi, M. Free radical scavenging, antioxidant and cancer chemoprevention by grape seed proanthocyanidin: An overview. Mutat. Res. 2014, 768, 69–73. [Google Scholar] [CrossRef]
  14. Gupta, M.; Dey, S.; Marbaniang, D.; Pal, P.; Ray, S.; Mazumder, B. Grape seed extract: Having a potential health benefits. J. Food Sci. Technol. 2020, 57, 1205–1215. [Google Scholar] [CrossRef]
  15. Farahat, M.H.; Abdallah, F.M.; Ali, H.A.; Hernandez-Santana, A. Effect of dietary supplementation of grape seed extract on the growth performance, lipid profile, antioxidant status and immune response of broiler chickens. Animal 2017, 11, 771–777. [Google Scholar] [CrossRef]
  16. Chen, S.; Yan, C.; Xiao, J.; Liu, W.; Li, Z.; Liu, H.; Liu, J.; Zhang, X.; Ou, M.; Chen, Z.; et al. Domestication and Feed Restriction Programming Organ Index, Dopamine, and Hippocampal Transcriptome Profile in Chickens. Front. Vet. Sci. 2021, 8, 701850. [Google Scholar] [CrossRef] [PubMed]
  17. Qaisrani, S.N.; Moquet, P.C.A.; Krimpen, M.M.; Kwakkel, R.P. Protein source and dietary structure influence growth performance, gut morphology, and hindgut fermentation characteristics in broilers. Poult. Sci. 2014, 93, 3053–3064. [Google Scholar] [CrossRef]
  18. Erinle, T.J.; Oladokun, S.; MacIsaac, J.; Rathgeber, B. Dietary grape pomace—Effects on growth performance, intestinal health, blood parameters, and breast muscle myopathies of broiler chickens. Poult. Sci. 2022, 101, 101519. [Google Scholar] [CrossRef] [PubMed]
  19. Geng, A.L.; Zhang, Y.; Zhang, J.; Zeng, L.C.; Chang, C.; Wang, H.H.; Yan, Z.X.; Chu, Q.; Liu, H.G. Effects of light regime on the hatching performance, body development and serum biochemical indexes in Beijing You Chicken. Poult. Sci. 2021, 100, 101270. [Google Scholar] [CrossRef]
  20. Liu, W.; Cheng, H.; Zhang, H.; Liu, G.; Yin, X.; Zhang, C.; Jiang, R.; Wang, Z.; Ding, X. Effect of Lactobacillus paracasei LK01 on Growth Performance, Antioxidant Capacity, Immunity, Intestinal Health, and Serum Biochemical Indices in Broilers. Animals 2024, 14, 3474. [Google Scholar] [CrossRef]
  21. Wang, W.; Xu, M.; Diao, H.; Long, Q.; Gan, F.; Mao, Y. Effects of grape seed proanthocyanidin extract on cholesterol metabolism and antioxidant dtatus in finishing pigs. Sci. Rep. 2024, 14, 21117. [Google Scholar] [CrossRef]
  22. Shamkhi Noor, A.; Essa Al-Mashhdani, H.; Hasan Kadhim, A. Effects of grape seed powder on productive performance, lipid profile and total bacteria in duodenum and ceca of broiler chickens. Arch. Razi Inst. 2022, 77, 2159–2164. [Google Scholar] [CrossRef]
  23. Nan, S.; Yao, M.; Zhang, X.; Li, X.; Zhang, Y. Fermented grape seed meal promotes broiler growth and reduces abdominal fat deposition through intestinal microorganisms. Front. Microbiol. 2022, 13, 994033. [Google Scholar] [CrossRef]
  24. Abu Hafsa, S.H.; Ibrahim, S.A. Effect of dietary polyphenol-rich grape seed on growth performance, antioxidant capacity and ileal microflora in broiler chicks. J. Anim. Physiol. Anim. Nutr. 2018, 102, 268–275. [Google Scholar] [CrossRef]
  25. Mancini, M.; Cerny, M.E.V.; Cardoso, N.S.; Ferreira, C.F. Grape seed components as protectors of inflammation, DNA damage, and cancer. Curr. Nutr. Rep. 2023, 12, 141–150. [Google Scholar] [CrossRef] [PubMed]
  26. Liu, J.; Li, K.; Li, S.; Yang, G.; Lin, Z.; Miao, Z. Grape seed-derived procyanidin inhibits glyphosate-induced hepatocyte ferroptosis via enhancing crosstalk between Nrf2 and FGF12. Phytomedicine 2024, 123, 155278. [Google Scholar] [CrossRef] [PubMed]
  27. Wang, M.; He, Z.; Xiong, Z.; Li, X.; Zhang, Y. Effects of dietary supplementation of grape seed extract in comparison with excessive level of vitamin E on growth performance and antioxidant function of broilers. Anim. Biotechnol. 2024, 35, 2331640. [Google Scholar] [CrossRef] [PubMed]
  28. Bindari, Y.R.; Gerber, P.F. Centennial Review: Factors affecting the chicken gastrointestinal microbial composition and their association with gut health and productive performance. Poult. Sci. 2022, 101, 101612. [Google Scholar] [CrossRef]
  29. Liu, Q.; Akhtar, M.; Kong, N.; Zhang, R.; Liang, Y.; Gu, Y.; Yang, D.; Nafady, A.A.; Shi, D.; Ansari, A.R.; et al. Early fecal microbiota transplantation continuously improves chicken growth performance by inhibiting age-related Lactobacillus decline in jejunum. Microbiome 2025, 13, 49. [Google Scholar] [CrossRef]
  30. Iqbal, Y.; Cottrell, J.J.; Suleria, H.A.R.; Dunshea, F.R. Gut Microbiota-Polyphenol Interactions in Chicken: A Review. Animals 2020, 10, 1391. [Google Scholar] [CrossRef]
  31. Luca, S.V.; Macovei, I.; Bujor, A.; Miron, A.; Skalicka-Woźniak, K.; Aprotosoaie, A.C.; Trifan, A. Bioactivity of dietary polyphenols: The role of metabolites. Crit. Rev. Food Sci. Nutr. 2020, 60, 626–659. [Google Scholar] [CrossRef]
  32. Bauermeister, A.; Mannochio-Russo, H.; Costa-Lotufo, L.V.; Jarmusch, A.K.; Dorrestein, P.C. Mass spectrometry-based metabolomics in microbiome investigations. Nat. Rev. Microbiol. 2022, 20, 143–160. [Google Scholar] [CrossRef] [PubMed]
  33. Koh, A.; De Vadder, F.; Kovatcheva-Datchary, P.; Bäckhed, F. From dietary fiber to host physiology: Short-chain fatty acids as key bacterial metabolites. Cell 2016, 165, 1332–1345. [Google Scholar] [CrossRef]
  34. Wishart, D.S. Metabolomics for investigating physiological and pathophysiological processes. Physiol. Rev. 2019, 99, 1819–1875. [Google Scholar] [CrossRef] [PubMed]
  35. Daniel, H. Molecular and integrative physiology of intestinal peptide transport. Annu. Rev. Physiol. 2004, 66, 361–384. [Google Scholar] [CrossRef]
  36. Miner-Williams, W.M.; Stevens, B.R.; Moughan, P.J. Are intact peptides absorbed from the healthy gut in the adult human? Nutr. Res. Rev. 2014, 27, 308–329. [Google Scholar] [CrossRef]
  37. Zheng, K.Y.; Gao, B.; Wang, H.J.; He, J.G.; Chen, H.S.; Hu, Z.L.; Long, L.H.; Chen, J.G.; Wang, F. Melatonin Ameliorates Depressive-Like Behaviors in Ovariectomized Mice by Improving Tryptophan Metabolism via Inhibition of Gut Microbe Alistipes Inops. Adv. Sci. 2024, 11, e2309473. [Google Scholar] [CrossRef] [PubMed]
  38. Gruß, H.; Sewald, N. Late-stage diversification of tryptophan-derived biomolecules. Chemistry 2020, 26, 5328–5340. [Google Scholar] [CrossRef]
  39. Xu, K.; Liu, G.; Fu, C. The Tryptophan Pathway Targeting Antioxidant Capacity in the Placenta. Oxid. Med. Cell. Longev. 2018, 2018, 1054797. [Google Scholar] [CrossRef]
  40. Ozawa, H.; Miyazawa, T.; Burdeos, G.C.; Miyazawa, T. Biological Functions of Antioxidant Dipeptides. J. Nutr. Sci. Vitaminol. 2022, 68, 162–171. [Google Scholar] [CrossRef]
  41. de Oliveira Silva, E.; Batista, R. Ferulic Acid and Naturally Occurring Compounds Bearing a Feruloyl Moiety: A Review on Their Structures, Occurrence, and Potential Health Benefits. Compr. Rev. Food Sci. Food Saf. 2017, 16, 580–616. [Google Scholar] [CrossRef]
  42. Liu, Z.; You, C. The bile acid profile. Clin. Chim. Acta 2025, 565, 120004. [Google Scholar] [CrossRef] [PubMed]
  43. Su, X.; Gao, Y.; Yang, R. Gut microbiota derived bile acid metabolites maintain the homeostasis of gut and systemic immunity. Front. Immunol. 2023, 14, 1127743. [Google Scholar] [CrossRef]
  44. Vico-Oton, E.; Volet, C.; Jacquemin, N.; Dong, Y.; Hapfelmeier, S.; Meibom, K.L.; Bernier-Latmani, R. Strain-dependent induction of primary bile acid 7-dehydroxylation by cholic acid. BMC Microbiol. 2024, 24, 286. [Google Scholar] [CrossRef] [PubMed]
  45. Wang, J.; Zhu, N.; Su, X.; Gao, Y.; Yang, R. Gut-Microbiota-Derived Metabolites Maintain Gut and Systemic Immune Homeostasis. Cells 2023, 12, 793. [Google Scholar] [CrossRef]
  46. Holecek, M. Histidine in health and disease: Metabolism, physiological importance, and use as a supplement. Nutrients 2020, 12, 848. [Google Scholar] [CrossRef] [PubMed]
  47. Mardani, M.; Kerti, K.B.; Farmani, J.; Alizadeh, M. Antioxidant peptides: Overview of production, properties, and applications in food systems. Compr. Rev. Food Sci. Food Saf. 2023, 22, 46–106. [Google Scholar] [CrossRef]
  48. Hart, P.H.; Norval, M. The multiple roles of urocanic acid in health and disease. J. Investig. Dermatol. 2021, 141, 496–502. [Google Scholar] [CrossRef]
  49. Yang, H.; Hou, X.; Xing, L.; Tian, F. Carnosine and bone (Review). Mol. Med. Rep. 2023, 27, 12. [Google Scholar] [CrossRef]
Figure 1. The common and unique OTUs between the CON and HGSP groups, where each colored block represents a distinct group, with overlapping regions between blocks indicating the shared OTUs among the corresponding groups. The numbers within each block denote the count of OTUs contained within that specific region; CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of GSPs, respectively.
Figure 1. The common and unique OTUs between the CON and HGSP groups, where each colored block represents a distinct group, with overlapping regions between blocks indicating the shared OTUs among the corresponding groups. The numbers within each block denote the count of OTUs contained within that specific region; CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of GSPs, respectively.
Animals 15 01481 g001
Figure 2. The composition of the jejunum microbiota of Kangle chicken at the genus level in the CON and HGSP groups, where the x-axis represents the names of the groups in the grouping scheme, the y-axis represents the relative abundance of each taxonomic unit at a specific taxonomic level, and the legend section lists the names of the top 10 most abundant genera. CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of GSPs, respectively.
Figure 2. The composition of the jejunum microbiota of Kangle chicken at the genus level in the CON and HGSP groups, where the x-axis represents the names of the groups in the grouping scheme, the y-axis represents the relative abundance of each taxonomic unit at a specific taxonomic level, and the legend section lists the names of the top 10 most abundant genera. CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of GSPs, respectively.
Animals 15 01481 g002
Figure 3. The outcomes of the NMDS analysis. Each point in the figure represents a sample, with distinct colors denoting different sample groups. The proximity of two points can be approximated to reflect smaller differences in microbial community composition between samples. CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of the GSPs, respectively.
Figure 3. The outcomes of the NMDS analysis. Each point in the figure represents a sample, with distinct colors denoting different sample groups. The proximity of two points can be approximated to reflect smaller differences in microbial community composition between samples. CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of the GSPs, respectively.
Animals 15 01481 g003
Figure 4. A Manhattan plot of the MetagenomeSeq analysis of the jejunal microbiota in the CON and HGSP groups. Figure (a) shows the upregulation in the HGSP group, while Figure (b) shows the upregulation in the CON group. CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of the GSPs, respectively.
Figure 4. A Manhattan plot of the MetagenomeSeq analysis of the jejunal microbiota in the CON and HGSP groups. Figure (a) shows the upregulation in the HGSP group, while Figure (b) shows the upregulation in the CON group. CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of the GSPs, respectively.
Animals 15 01481 g004
Figure 5. The chemical categories and proportions of all detected metabolites in the jejunal contents in both the CON and HGSP groups. The colored segments represent different chemical classification categories, and the percentages indicate the proportion of metabolites within each category relative to the total number of identified metabolites.
Figure 5. The chemical categories and proportions of all detected metabolites in the jejunal contents in both the CON and HGSP groups. The colored segments represent different chemical classification categories, and the percentages indicate the proportion of metabolites within each category relative to the total number of identified metabolites.
Animals 15 01481 g005
Figure 6. Score plots of the orthogonal partial least squares discriminant analysis (OPLS-DA) in the CON and HGSP groups. (a) Positive ion mode; (b) negative ion mode. CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of the GSPs, respectively.
Figure 6. Score plots of the orthogonal partial least squares discriminant analysis (OPLS-DA) in the CON and HGSP groups. (a) Positive ion mode; (b) negative ion mode. CON and HGSP were chickens fed the basal diet supplemented with 0 and 400 mg/kg of the GSPs, respectively.
Animals 15 01481 g006
Figure 7. Chemical classification of the differentially abundant metabolites between the CON and HGSP groups.
Figure 7. Chemical classification of the differentially abundant metabolites between the CON and HGSP groups.
Animals 15 01481 g007
Figure 8. A heatmap of significantly different metabolites between the CON and HGSP groups. Red indicates upregulated metabolites; blue indicates downregulated metabolites. C1–C4 represent samples in the CON group, while P1–P4 represent samples in the HGSP group.
Figure 8. A heatmap of significantly different metabolites between the CON and HGSP groups. Red indicates upregulated metabolites; blue indicates downregulated metabolites. C1–C4 represent samples in the CON group, while P1–P4 represent samples in the HGSP group.
Animals 15 01481 g008
Figure 9. The enrichment analysis of the differentially abundant metabolites using KEGG pathways between the CON and HGSP groups. The Y-axis represents the names of the metabolic KEGG pathways, and the X−axis represents the differential abundance (DA) scores. The DA score reflects the overall change in the metabolites within a pathway, where a score of 1 indicates upregulation of all of the metabolites identified in the pathway, and a score of -1 indicates downregulation.
Figure 9. The enrichment analysis of the differentially abundant metabolites using KEGG pathways between the CON and HGSP groups. The Y-axis represents the names of the metabolic KEGG pathways, and the X−axis represents the differential abundance (DA) scores. The DA score reflects the overall change in the metabolites within a pathway, where a score of 1 indicates upregulation of all of the metabolites identified in the pathway, and a score of -1 indicates downregulation.
Animals 15 01481 g009
Table 1. Composition and nutrient levels of basal diets (air-dry basis).
Table 1. Composition and nutrient levels of basal diets (air-dry basis).
IngredientsContent (%)Nutrient LevelsContent (%)
Maize66.70Metabolizable energy (MJ/kg) 212.59
Soybean meal27.35Crude protein17.68
Soybean oil2.41Calcium0.75
Limestone1.21Phosphorus0.56
Salt0.21Lysine0.92
Calcium hydrogen phosphate0.92Methionine0.42
L-lysine hydrochloride0.11Non-phytic acid phosphor0.34
DL-Methionine0.09
Premix 11.00
Total100.00
1 The premix provided the following per kg of the diets: Vitamin A: 9000 IU; vitamin B1: 5 mg; vitamin B2: 10 mg; vitamin B6: 12 mg; vitamin B12: 30 μg; vitamin D3: 2500 IU; vitamin E: 25 mg; vitamin K3: 3 mg; biotin: 0.10 mg; folic acid: 3 mg; D-pantothenic acid: 20 mg; nicotinic acid: 30 mg; Cu: 20 mg; Fe: 320 mg; Mn: 100 mg; Zn: 200 mg; I: 0.60 mg; Se: 0.30 mg. 2 The metabolizable energy (ME) of the experimental diet was calculated from the feed composition values acquired through near-infrared reflectance spectroscopy (NIRS), as described by Cozannet et al. [12]. Non-phytate phosphorus levels were quantified according to the Chicken Feeding Standard (NY/T 33-2004) [11].
Table 2. The effects of dietary grape seed proanthocyanidins on the growth performance of Kangle chickens.
Table 2. The effects of dietary grape seed proanthocyanidins on the growth performance of Kangle chickens.
Items 1Treatments 2SEMp-Value
CONLGSPHGSP
IBW (g)146.20145.39147.723.020.642
FBW (g)471.74489.64483.148.150.488
ADG (g/d)10.8511.4811.180.310.538
ADFI (g/d)36.8337.6436.470.920.846
FCR3.393.283.260.140.491
1 IBW, initial body weight; FBW, final body weight; ADG, average daily weight gain; ADFI, average feed intake; FCR, feed conversion ratio. 2 CON, LGSP, and HGSP were chickens fed the basal diet supplemented with 0, 200, and 400 mg/kg of grape seed proanthocyanidins, respectively.
Table 3. The effects of dietary grape seed proanthocyanidins on the visceral organs of the Kangle chickens.
Table 3. The effects of dietary grape seed proanthocyanidins on the visceral organs of the Kangle chickens.
ItemsTreatments 1SEMp-Value
CONLGSPHGSP
Liver index (%)2.99 b2.87 b3.39 a0.080.004
Spleen index (%)0.240.240.230.010.871
Jejunum index (%)3.06 b3.02 b3.76 a0.170.036
1 CON, LGSP, and HGSP were chickens fed the basal diet supplemented with 0, 200, and 400 mg/kg of grape seed proanthocyanidins, respectively. a,b Distinct superscripts within the same row indicate significant differences between groups.
Table 4. The effects of dietary grape seed proanthocyanidins on the serum biochemical parameters of the Kangle chickens.
Table 4. The effects of dietary grape seed proanthocyanidins on the serum biochemical parameters of the Kangle chickens.
Items 1Treatments 2SEMp-Value
CONLGSPHGSP
TP (g/L)33.2833.4233.320.590.728
ALB (g/L)14.2813.7214.520.250.490
AST (U/L)238.60233.50220.507.720.759
ALT (U/L)3.203.674.170.260.296
GLU (mmol/L)11.65 a10.43 b10.82 ab0.200.026
TG (mmol/L)0.840.911.490.130.074
TC (mmol/L)2.32 b2.53 ab2.87 a0.090.028
1 TP, total protein; ALB, albumin; AST, aspartate aminotransferase; ALT, alanine aminotransferase; GLU, glucose; TG, triglyceride; TC, total cholesterol; 2 CON, LGSP, and HGSP were chickens fed the basal diet supplemented with 0, 200, and 400 mg/kg of grape seed proanthocyanidins, respectively. a,b Distinct superscripts within the same row indicate significant differences between groups.
Table 5. The effects of dietary grape seed proanthocyanidins on the jejunal morphology of the Kangle chickens.
Table 5. The effects of dietary grape seed proanthocyanidins on the jejunal morphology of the Kangle chickens.
Items 1Treatments 2SEMp-Value
CONLGSPHGSP
VH (μm)1043.661143.961063.2627.980.342
CD (μm)212.72 a179.77 ab139.99 b14.050.046
V/C5.20 b6.57 ab7.59 a0.440.022
1 VH, villus height; CD, crypt depth; V/C, the ratio of villus height to crypt depth; 2 CON, LGSP, and HGSP were chickens fed the basal diet supplemented with 0, 200, and 400 mg/kg of grape seed proanthocyanidins, respectively. a,b Distinct superscripts within the same row indicate significant differences between groups.
Table 6. The effects of diets supplemented with grape seed proanthocyanidins on the jejunal antioxidant parameters of Kangle chickens.
Table 6. The effects of diets supplemented with grape seed proanthocyanidins on the jejunal antioxidant parameters of Kangle chickens.
Items 1Treatments 2SEMp-Value
CONLGSPHGSP
JejunumT-AOC (μmol/mg prot)64.0467.1768.443.700.300
SOD (U/mg prot)148.45153.09149.885.420.640
CAT (U/mg prot)9.13 a6.30 b6.56 b0.490.021
GSH-Px (U/mg prot)33.1337.2344.201.990.073
MDA (nmol/mg prot)0.24 a0.22 a0.13 b0.020.002
1 T-AOC, total antioxidant capacity; SOD, superoxide dismutase; CAT, catalase; GSH-Px, glutathione peroxidase; MDA, malondialdehyde. 2 CON, LGSP, and HGSP were chickens fed the basal diet supplemented with 0, 200, and 400 mg/kg of grape seed proanthocyanidins, respectively. a,b Distinct superscripts within the same row indicate significant differences between groups.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, Q.; Fan, Q.; Yang, X.; Hu, W.; Zheng, L.; Zhou, L.; Shi, J.; Zhao, X.; Zhang, Y. Effects of Grape Seed Proanthocyanidins on Growth Performance, Jejunal Antioxidant Capacity, Gut Microbial Diversity, and Metabolites in Kangle Chickens. Animals 2025, 15, 1481. https://doi.org/10.3390/ani15101481

AMA Style

Wang Q, Fan Q, Yang X, Hu W, Zheng L, Zhou L, Shi J, Zhao X, Zhang Y. Effects of Grape Seed Proanthocyanidins on Growth Performance, Jejunal Antioxidant Capacity, Gut Microbial Diversity, and Metabolites in Kangle Chickens. Animals. 2025; 15(10):1481. https://doi.org/10.3390/ani15101481

Chicago/Turabian Style

Wang, Qianqian, Qingcan Fan, Xue Yang, Wei Hu, Lucheng Zheng, Lijun Zhou, Jinmeng Shi, Xingxu Zhao, and Yong Zhang. 2025. "Effects of Grape Seed Proanthocyanidins on Growth Performance, Jejunal Antioxidant Capacity, Gut Microbial Diversity, and Metabolites in Kangle Chickens" Animals 15, no. 10: 1481. https://doi.org/10.3390/ani15101481

APA Style

Wang, Q., Fan, Q., Yang, X., Hu, W., Zheng, L., Zhou, L., Shi, J., Zhao, X., & Zhang, Y. (2025). Effects of Grape Seed Proanthocyanidins on Growth Performance, Jejunal Antioxidant Capacity, Gut Microbial Diversity, and Metabolites in Kangle Chickens. Animals, 15(10), 1481. https://doi.org/10.3390/ani15101481

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop