1. Introduction
Gestation causes anatomical, physiological, and metabolic changes within the maternal body of a sow. These changes are necessary to meet the intrauterine requirements for nutrients and oxygen for the fetus [
1]. However, the gestation period is characterized by systemic oxidative stress and chronic inflammation, a condition that is particularly pronounced in hyperprolific sows [
2]. This condition is driven by reactive oxygen species (ROS), which are derived from the extensive metabolic demands of both the sow and its fetus [
3]. Various factors, including environmental stressors, emotional stress, and related diseases, can disrupt the normal redox status during gestation [
4,
5]. When the antioxidant system in sows does not effectively scavenge free radicals, the negative impact of oxidative stress is more pronounced. Oxidative stress damages the tissues and cells of the body, which decreases the nutrient transport capacity of the placenta and the reproductive performance of sows. Furthermore, redox imbalances in sows during gestation can potentially induce oxidative stress in the fetus as well, with potential long-lasting consequences for postnatal development [
6].
The placenta is crucial in transferring antioxidants from mother to fetus during gestation, which reduces the oxidative stress of the fetus [
7,
8]. Previous studies have consistently reported that placental and maternal redox dysfunction is highly related to reduced reproductive performance [
9,
10]. Notably, when the balance of the placenta’s redox system is disrupted, multiple aspects of placental development and function are disrupted, including vascularization, structural integrity, and critical maternal–fetal exchange processes, creating a harmful intrauterine environment for the fetus [
11]. Lipopolysaccharide (LPS), a component of Gram-negative bacteria, can induce an inflammatory cascade upon systemic dissemination via the bloodstream, which potentially affects extraintestinal sites, including the placenta [
12]. The detrimental effects of LPS exposure on the placenta are well documented, evidenced by inflammation, compromised barrier function, and impaired nutrient transportation, ultimately precipitating reduced reproductive performance [
13,
14].
Supplementing functional additives with antioxidants such as vitamins is one of the most widely recognized and effective methods to improve human and animal reproduction [
15,
16]. Under stress conditions, supplementing animals with appropriate amounts of vitamins can potentially enhance their antioxidant capacity, thereby alleviating their oxidative stress [
17]. β-Carotene, a lipid-soluble antioxidant, is incorporated into cellular membranes to neutralize lipid peroxides. As a precursor of vitamin A, it effectively scavenges ROS, enhances glutathione peroxidase (GSH-Px) activity in animals, and protects intracellular DNA and proteins from free radical-induced damage [
18]. Superoxide dismutase (SOD), an antioxidant metalloenzyme that is naturally occurring in living organisms, has the potential to boost systemic antioxidant defenses through two primary mechanisms: partial absorption via intestinal endocytosis and the modulation of redox signaling pathways. This enzyme plays a vital role in cellular homeostasis by catalyzing the conversion of superoxide anion radicals into molecular oxygen and hydrogen peroxide, thereby maintaining the critical balance between oxidative stress and antioxidant protection within biological systems [
19,
20]. However, it remains unclear whether the combination of β-carotene and SOD synergistically reduces oxidative stress in both sows and fetuses through the transfer of these antioxidants. Additionally, the effects of β-carotene and SOD supplementation in terms of the concentration and period are not well understood.
In the present study, we deliberately selected sows with a history of large litter sizes as experimental subjects, as they may experience more pronounced oxidative stress during gestation [
2]. Initially, we explored the individual and combined supplementation of β-carotene and SOD on sow reproductive performance over both longer and shorter periods. After verifying the significant regulatory effects of the antioxidants on phenotypic indicators such as the number of weaned piglets, backfat loss, milk protein content, and piglet growth performance, we systematically examined the impacts of these antioxidants on oxidative stress and inflammatory responses in sows. Subsequently, we further assessed the antioxidant capacity and hormone secretion status in piglets and sought to uncover the mechanisms underlying the differences observed among the various treatment groups by examining the gene expression in sow placentas.
2. Materials and Methods
2.1. Animals, Treatments, and Management
All animal experiments were conducted following the guidelines of the China Agricultural University Animal Care and Use Committee (Beijing, China, AW21101202-1-2). This experiment was conducted at the Ningqiang Sano Smart Agriculture Industrial Park Development Co., Ltd. (Ningqiang, China).
One hundred and forty Landrace × Yorkshire sows (parities 3–5) were assigned to seven dietary treatments (one control diet and six supplementary diets), with each sow as a replicate in a completely randomized design, with the weight at weaning of the previous parity as a block (n = 20 per treatment group). Seven sows were removed from the trial before farrowing due to severe lameness or mortality, resulting in 113 sows completing the experiment and being included in the final data analysis (detailed sow production information is provided in
Table S1). The first three diets were as follows: CON supplemented with 25 mg/kg β-carotene (L1), 4 mg/kg of SOD (L2), and a combination of both (L3). The other three diets were as follows: CON supplemented with 100 mg/kg β-carotene (S1), 14 mg/kg of SOD (S2), and a combination of both (S3). The L1, L2, and L3 diets were given to respective sows from the end of the previous reproductive cycle until the termination of the trial. In contrast, the S1, S2, and S3 diets were provided 7 days before and after weaning in the previous breeding cycle, as well as 7 days before and after farrowing in the current breeding cycle. Both SOD and β-carotene were sourced from Beijing Hilink Biotechnology Co., Ltd. (Beijing, China). The CON diets for gestation and lactation were formulated to meet their nutrient requirements (NRC, 2012). The ingredients and nutritional levels of the basal diet are shown in
Table 1. The calculation of the digestible energy (DE), metabolizable energy (ME), and net energy (NE) content of the ingredients referred to the China National Standard (GB/T 39235-2020) [
21]. Chemical analyses of the basal diet in the gestation phase and lactation phase were performed. The crude protein was calculated by multiplying nitrogen by the factor 6.25. Nitrogen was measured according to method 984.13 of the Association of Official Analytical Chemists (AOAC). The content of crude fiber, calcium, phosphorus, and lysine was determined according to the methods of GB/T 6434-2006 [
22], GB/T 6436-2018 [
23], GB/T 6437-2018 [
24], and GB/T 18246-2019 [
25], respectively.
Sows were housed in gestation barns (2 × 0.6 m2) from the day of weaning until day 109 of gestation, with feeding schedules set at 08:00 and 14:00 h. On day 110 of gestation, the sows were transferred to farrowing barns (2 × 1.5 m2) for farrowing preparation. Following farrowing, the sows were fed four times a day, starting with an initial amount of 2 kg and gradually increasing this by 0.5 kg per day until reaching their maximum feed intake. Both gestation and lactation sows were housed in stalls with unrestricted access to water. The gestation barns were maintained at 19 to 23 °C, while the farrowing barns were kept at 23 to 25 °C.
The piglets were managed according to a standard protocol: colostrum intake within 6 h after farrowing and weaning at 25 days. All piglets were evaluated for weight gain and health status before weaning. Each piglet’s health status and diarrhea condition during the experimental period were observed and recorded at 09:00 and 15:00 h every day. The fecal scores of nursery pigs were blindly evaluated according to the following fecal scoring criteria: 0 for normal cylindrical solid feces; 1 for soft but formed feces; 2 for sticky, unformed feces with high moisture content; and 3 for liquid, unformed feces with very high moisture content. Piglets with a fecal score of 2 or 3 for two consecutive days were considered to have diarrhea.
2.2. Sample Collection
On day 40 of gestation, the day of farrowing, and the day of weaning, six sows were randomly selected from each treatment group for blood collection via the marginal ear vein. A total of 5 mL of blood was collected, left for 1.5 h, and then centrifuged at 3000 rpm for 15 min to collect serum, which was stored at −20 °C for subsequent analysis. It is important to note that the same six sows were used for each stage. Two days before farrowing, feces samples were collected from six randomly selected sows in each treatment group. On the day of farrowing, 15 mL of colostrum was evenly collected from the anterior, middle, and posterior teats of six randomly selected sows in each treatment group. Furthermore, at the time of farrowing, the umbilical cords of the newborn piglets were tied with a short cotton thread and labeled with a number tag to ensure that each piglet was matched with the corresponding placenta. After the placenta was expelled, approximately 5 g of placental tissue (3 to 5 cm from the umbilical cord insertion point) was collected and rapidly frozen in liquid nitrogen.
Weaning was performed at 25 days post-farrowing based on the piglets’ weight (>5 kg) and health status (absence of diarrhea or respiratory symptoms). On the 14th day of lactation and the day of weaning, 6 piglets were selected from each treatment group and injected with an overdose of sodium pentobarbital. After death, blood was collected from the anterior vena cava. A total of 5 mL of blood was collected from each piglet in an ordinary vacuum blood collection tube. After standing for 1.5 h, the blood was centrifuged at 3000 rpm for 15 min to collect serum, which was divided into 1.5 mL centrifuge tubes and stored at −20 °C for testing.
2.3. Chemical Analyses
The content of lactose, milk fat, and milk protein in the colostrum was determined using a fully automated biochemical analyzer (BC-30S) manufactured by Mindray Bio-Medical Electronics Co., Ltd. (Shenzhen, China). The concentrations of IgG (B162520), IgA (B162518), and IgM (B162527) in the colostrum were measured using immunoglobulin assay kits (Hengyuan, Shanghai, China). The SOD (B162441), GSH-Px (B162476), total antioxidant capacity (T-AOC, B162626), nitric oxide synthase (NOS, B162595), H2O2 (A-029-SH), malondialdehyde (MDA, B162437), TNF-α (HB355-Pg), IL-1β (B162426), IL-6 (HB347-Pg), IL-10 (HB359-Pg), growth hormone (GH, B162555), insulin-like growth factor 1 (IGF-1, HY-50023K), cortisol (HY-50033K), LPS (HB022-Pg), progesterone (HB035-Pg), and prolactin (B162454) were determined using commercial assay kits (Hengyuan, Shanghai, China), according to the manufacturers’ instructions.
2.4. Total RNA Extraction and Real-Time Quantitative PCR
According to the manufacturer’s instructions, the total placental RNA was extracted using the RNA extraction kit (Mei5 Biotechnology Co., Ltd., Beijing, China). The quality and concentration of the RNA (A260/A280) were measured using a NanoDrop spectrophotometer. Subsequently, 1 μg of RNA was reverse-transcribed into cDNA using a reverse transcription kit (EZBioscience, Guangzhou, China). A real-time fluorescent quantitative PCR was performed using a 10 μL PCR system comprising 5.0 μL of SYBR Green Premix Ex Taq, 2.6 μL of double-distilled water, 2.0 μL of the cDNA template, and 0.2 μL each of the forward and reverse primers (10 mM), with the primer sequences used in the experiment listed in
Table 2 below. The PCR reaction program was as follows: initial denaturation at 95 °C for 1 min; amplification and quantification cycles at 95 °C for 5 s and 58 °C for 34 s, for a total of 35 cycles; a melting curve program at 95 °C for 5 s and 60 °C for 1 min; and a cooling step at 4 °C for 30 s. The PCR reaction CT values were corrected using the housekeeping gene GAPDH, and the relative expression level of the target gene was calculated using the formula 2
−ΔΔCT.
2.5. Western Blotting Analysis
A total of 100 mg of pig placental tissue was employed for the extraction of total protein, facilitated by 0.5 mL of RIPA lysis buffer (Beyotime, Shanghai, China) supplemented with 1% phosphatase inhibitor and 1% PMSF protease inhibitor. Subsequently, the total protein (25 μg per sample) was separated by 10% SDS-PAGE (10% resolving gel) and subsequently transferred to a polyvinylidene difluoride (PVDF) membrane (Millipore, Bedford, MA, USA) using a wet electroblotting system. The membrane was then blocked with 5% skimmed milk powder for 2 h. Following four washes with TBST buffer, the membrane was incubated with β-actin (AB8226, Abcam (Cambridge, UK), 1:5000), ZO-1 (AB96587, Abcam, 1:500), Occludin (AB167161, Abcam, 1:1000), Claudin1 (AB211737, Abcam, 1:2000), HO-1 (66743, Proteintech (Rosemont, IL, USA), 1:1000), Keap1 (AB89901, Abcam, 1:500), P-Nrf2 (BS-2013R, Bioss (Woburn, MA, USA), 1:500), and Nrf2 (BS-1074R, Bioss, 1:100) at 4 °C overnight. After washing, the membrane was incubated with the appropriate HRP goat anti-rabbit (111035-003, Jackson (Lansing, MI, USA), 1:10,000) for 1.5 h at room temperature. Following antibody incubation, the membrane was washed five times with TBST buffer. Chemiluminescent signals were detected using the ECL Plus detection kit (Applygen Technologies Inc., Beijing, China) and visualized on a chemiluminescence imaging analysis system (Tanon, Shanghai, China). Finally, grayscale values were analyzed using image processing software (ImagePro Plus 6.0), and the relative protein expression levels were normalized against β-actin as the internal control.
2.6. Bacterial Data Analysis
Genomic DNA was extracted from fresh sow feces utilizing the CTAB method, and its concentration and purity were evaluated via 1% agarose gel electrophoresis. To amplify the V3-V4 variable regions, the primers 341F (5′-CCTAYGGGRBGCASCAG-3′) and 806R (5′-GGACTACNNGGGTATCTAAT-3′) were employed. Following PCR amplification, the products were purified using the Qiagen Gel Purification Kit (Qiagen, Düsseldorf, Germany). Subsequently, sequencing libraries were constructed according to the manufacturer’s guidelines using the TruSeq® DNA PCR-Free Sample Preparation Kit (Illumina, San Diego, CA, USA), incorporating unique index codes for sample identification. The sequencing of 250 bp paired-end reads was performed on an Illumina NovaSeq platform. The raw paired-end reads were merged into single reads for marker generation using the FLASH software (version 34.0.0.175). Data filtering and noise reduction were then conducted with the QIIME software (version 1.91) to obtain a comprehensive list of amplicon sequence variants (ASVs) and their respective features. Subsequently, species annotation was performed on the ASVs to identify the species information associated with each ASV.
2.7. Calculation
The litter weight gain was calculated using the following equation:
The diarrhea rate was calculated using the following equation:
2.8. Statistical Analysis
The PROC MIXED procedure of SAS version 9.4 (SAS Institute, Cary, NC, USA) was used to perform the data analysis. All data were checked for a normal distribution and homogeneous variance using the UNIVARIATE procedure. A sow or nursery pig was considered the experimental unit. Data on the long-term and short-term effects of antioxidants were analyzed separately. Within each period, β-carotene, SOD, and their interaction were included in the model as fixed effects. A random effect of the BW block was included in the model for all measures of reproduction performance. Only the main effects were discussed for responses when the interactions were not significant. The LSMEANS statement was used to calculate the treatment means. The data were analyzed by analysis of variance (ANOVA). Statistical significance was declared at p < 0.05, and 0.05 < p < 0.10 was considered to indicate a tendency. Tukey’s post hoc test was used to test the differences between groups.
The α-diversity of the fecal bacterial community was assessed by utilizing the Mann–Whitney U test and the Kruskal–Wallis test for statistical analysis. The statistical significance of the principal coordinate analysis (PCoA) for microbial composition comparisons across treatments was ascertained using the QIIME software package (version 1.91), which relied on the Bray–Curtis distance metric for its calculations. Furthermore, linear discriminant analysis effect size (LEfSe) was applied to discern differences at various taxonomic hierarchies, encompassing the phylum, class, order, family, and genus levels.