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. 2022 Nov 17;12:19749. doi: 10.1038/s41598-022-23811-8

Influence of dietary fiber intake and soluble to insoluble fiber ratio on reproductive performance of sows during late gestation under hot climatic conditions

Joseph Moturi 1,#, Abdolreza Hosseindoust 1,#, Habeeb Tajudeen 1, Jun Young Mun 1, Sang Hun Ha 1, Jin Soo Kim 1,✉
PMCID: PMC9671960  PMID: 36396815

Abstract

This study evaluated dietary fiber (DF) level and the ratio of soluble fiber (SF): insoluble fiber (ISF) impact on sows’ reproductive performance under heat stress. Forty sows at day 90 of gestation were assigned to four treatments. HH diet had, 20% DF, 1:4, SF:ISF ratio; HL, 20% DF, 1:6, SF:ISF ratio; LH, 14% DF, 1:4, SF:ISF, LL, 14% DF, 1:6, SF:ISF. Results showed that; lactation back-fat loss was lower (P < 0.05) in HH . Feed intake was higher (P < 0.05) in HH and HL. Farrowing duration shorter (P < 0.05) in HH. Constipation index was higher (P < 0.05) in HH and LH. Weaning piglets’ body weight was greater (P < 0.05) in HH than LH and LL. Hair cortisol was lower (P < 0.05) in HH than HL, and LL. Acetate, propionate, isovalerate, and butyrate was higher (P < 0.05) in HH and LH. Plasma zonulin, fecal lipocalin-2 were lower (P < 0.05) in HH, and HL. Superoxide dismutase tended to be higher (P = 0.056) and malondialdehyde tended to be lower (P = 0.069) in HH and HL. We opined that higher levels of dietary fiber and soluble fiber could ameliorate heat stress in gestating sows.

Subject terms: Biochemistry, Biological techniques, Cell biology, Immunology, Physiology

Introduction

The elevated ambient temperatures during summer negatively impacts on average daily feed intake (ADFI), which in turn adversely affects physiological processes and reproductive performance of sows1,2. This occurs when blood flow is diverted from visceral organs to the skin in order to dissipate heat. Limited blood flow to the uterus and the ovary may lead to utero hypoxia, and insufficient ovarian function. Sows are particularly susceptible to extreme heat during their gestation and lactation periods. When exposed to temperatures over their thermal neutral zone (25–35 °C), sows exhibit unfavorable reproductive consequences, including anestrus, longer inter-estrus intervals prolonged weaning to estrus intervals, low farrowing rates, decreased litter size, stillbirths, and abortion3,4. Furthermore, during lactation, high temperatures exceeding 30 °C has been shown to impair sow milk synthesis5, as well as a reduction in some milk and colostrum components such as fatty acids and immunoglobulins due to limited blood supply to the udder and the reduction in feed intake6. Reduced immunoglobulins content in colostrum during the piglets’ first hours of life may pose a health challenge considering that colostrum milk offer piglets’ passive immunity, which is the primary source of protection against infections in newborns7. Additionally, intestinal hypoxia due to thermal load could reduce intestinal barrier function, leading to luminal lipopolysaccharide (LPS) from Gram-negative bacteria infusing into the blood circulation compromising the sow and fetus health as energy is apportioned to immune responses at the expense of core body reproductive functions8.

The significant production losses in pregnant and lactating sows associated with increased ambient temperatures calls for implementation of a novel feeding strategy to ameliorate these negative impacts in swine production. Traditionally, with respect to reduced ADFI and impaired nutrient uptake, provision of high energy concentrates feeds dense in nutrients has been adopted to mitigate the problem of low feed intake in sows under hot environmental conditions. However, this strategy during gestation is counterproductive as it may lead to overweight sows with accompanied parturition problems, depressed feed intake during lactation, and reduced milk production9.

The incorporation of high dietary fiber (DF) in sows’ diets during periods of high ambient temperatures has achieved beneficial results in recent years. DF are portions of plant derived feed that are resistant to enzymatic digestion in the small intestines of mammals, and fully or partially undergo microbial fermentation in the hindgut10. Based on water solubility, DF are categorized into two classes: soluble fiber (SF), such as gums, pectin, and inulin; and insoluble fiber (ISF), such as lignin and cellulose7,11. Many studies have demonstrated that increasing DF intake during pregnancy for one or more gestation-lactation cycles (reproductive cycles) when daily nutrient intake per sow is equalized among treatments can increase sow and litter performance12,13. However, other studies reported no impact or negative impacts on litter and sow performance when fiber was added to the gestation diet14,15. These discrepancies may be attributed to the type of dietary fiber supplemented during pregnancy. The ISF/SF ratio of a fiber resource may have an impact on diet consumption and play a key role in improving sow reproductive performance7. A previous study established that ISF/SF ratio had a significant impact on the health of sows and their offspring, with greater average piglet body weight (BW) and litter weight at weaning recorded when the ratio of insoluble to soluble fiber in the gestation diet was 3.89 compared to 5.59, 9.12, and 12.81 diets16. Therefore, for sow dietary fiber during gestation to be effective, there is a threshold on the ratio of insoluble to soluble ratio. It is important therefore, to comprehend the level of dietary fiber and the ratio of SF:ISF that could be sufficient to alleviate the impacts of heat stress in gestating sows. This study, aimed to determine the effects of DF level, the ratio of ISF/SF and their interaction if any on gut permeability, stress level, metabolites level in the gut and sow and litter performance under hot weather conditions.

Results

Respiratory rate and rectal temperatures

The respiratory rate was significantly higher (P < 0.05) from day 107–110 of gestation in the high SF groups compared to the high ISF groups. On the other hand, the rectal temperature was elevated (P < 0.05) in higher ISF-fed diets compared to the higher SF-fed groups on day 100, 103, and 104. No interaction was observed between fiber level and ratio of SF:ISF (Fig. 1a,b).

Figure 1.

Figure 1

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Effect of dietary fiber levels and soluble, insoluble dietary fiber ratio on: (a) respiration rate, (b) rectal temperature of sows during heat stress. Asterisks(*) indicate statistical significance (P < 0.05).

Hair cortisol concentration

Cortisol level was significantly lower (P < 0.05) in the high SF treatments compared to the high ISF treatments (Fig. 2).

Figure 2.

Figure 2

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Effects of total dietary fiber (TDF) levels and soluble, insoluble dietary fiber ratio on hair cortisol concentration of sows. Superscript a, b means with different superscripts indicate statistical significance (P < 0.05).

Serum superoxide dismutase and malondialdehyde levels

The concentration of superoxide dismutase (SOD) in the serum of sows tended to be higher (P = 0.056) in the higher SF- fed treatments compared to the higher ISF- fed treatments. There was tendency towards lower MDA concentration in serum (P = 0.069) in the high DF level treatments compared to the low level DF treatments (Table 1).

Table 1.

Effects of total dietary fiber levels and soluble, insoluble dietary fiber ratio on serum oxidant, and antioxidant activity of sows.

Treatment HH HL LH LL SEM P-value
Total DF, % 20 20 14 14 Fiber Ratio Fiber × ratio
SF:ISF 1:4 1:6 1:4 1:6
SOD, U/ml 70.82 60.11 63.03 61.66 1.530 0.314 0.056 0.136
MDA, mmol/ml 1.68 1.69 1.79 1.81 0.120 0.069 0.822 0.864
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SEM standard error of means, SOD superoxide dismutase, MDA malondialdehyde, DF dietary fiber, SF soluble fiber, ISF insoluble fiber.

a,bMeans with different superscripts within rows are significantly different at (P < 0.05).

Sows’ reproductive performance

The BF loss during lactation was higher (P < 0.05) in the high DF level fed groups than the low DF level groups. There was a tendency (P = 0.075) towards higher BF loss during lactation in the high ISF treatments compared to the high SF treatments. The ADFI was significantly higher (P < 0.05) in the high DF level diets than in the low DF level diets. The farrowing duration was significantly shorter higher (P < 0.05) in the high DF level treatments than in the low DF level treatments. Further, the farrowing duration was longer higher (P < 0.05) in the high ISF tretments compared to the high SF treatments.. The constipation index was significantly greater (P < 0.05) in the high SF-fed groups than the high ISF-fed groups. The WEI tended to be higher (P = 0.070) in the high DF level treatments compared to the low DF level treatments . There was no interaction observed between DF level and SF:ISF ratio (Table 2).

Table 2.

Effects of total dietary fiber levels and soluble, insoluble dietary fiber ratio on sow reproductive performance.

Treatment HH HL LH LL SEM P-value
Total DF, % 20 20 14 14 Fiber Ratio Fiber × ratio
SF:ISF 1:4 1:6 1:4 1:6
BW, kg
d 90 188.50 184.35 185.00 186.85 3.98 0.860 0.930 0.533
d 112 203.00 198.60 199.40 201.30 4.15 0.879 0.673 0.290
Gain during gestation 14.50 14.25 14.40 14.45 0.37 0.841 0.894 0.947
24 h postpartum 182.50 178.85 178.95 180.40 4.64 0.762 0.740 0.442
Weaning 167.35 163.15 163.55 164.60 4.29 0.701 0.608 0.394
Loss during lactation 15.15 15.70 15.40 15.80 0.40 0.827 0.554 0.925
BF, mm
d 90 21.00 20.35 20.50 20.65 0.62 0.936 0.842 0.749
d 112 21.45 21.20 21.10 21.20 0.63 0.890 0.953 0.890
Gain during gestation 0.85 0.95 0.75 0.70 0.07 0.306 0.731 0.711
24 h postpartum 18.15 18.00 17.80 17.45 0.40 0.576 0.755 0.901
Weaning 15.90 15.40 14.95 14.15 0.66 0.192 0.437 0.857
Lossduring lactation 2.25b 2.60ab 2.85ab 3.30a 0.11 0.005 0.075 0.820
ADFI during lactation, kg/day 5.18a 5.14a 4.84b 4.81b 0.07 0.008 0.733 0.957
Farrowing duration, h 4.15b 4.55ab 4.56ab 4.89a 0.08 0.027 0.030 0.837
Constipation indexA 2.66a 2.26b 2.47ab 2.17b 0.06 0.268 0.008 0.708
WEI 5.30 5.45 5.68 5.78 0.09 0.070 0.509 0.895
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SEM standard error of means, BW body weight, BF backfat thickness, ADFI average daily feed intake, DF dietary fiber, SF soluble fiber, ISF insoluble fiber.

AA score value ranging from 0 to 5: 0 (absence of feces), 1 (dry and pellet-shaped), 2 (between dry and normal), 3 (normal and soft, but firm and well formed), 4 (between normal and wet; still formed, but not firm), 5 (very wet feces, unformed and liquid).

a,bMeans with different superscripts within rows are significantly different at (P < 0.05).

Piglet weaning BW was significantly greater (P < 0.05) in the the high DF level treatments compared to the low DF level treatments and higher (P < 0.05) in the high SF-fed diets than in the high ISF-fed diets. The weaning litter weigh was higher in the high DF level groups than the lower DF level groups (P < 0.05). There was a tendency (P = 0.058) towards higher weaning litter weight in the high SF treatments compared to the high ISF treatments (Table 3).

Table 3.

Effects of total dietary fiber levels and soluble, insoluble dietary fiber ratio on piglet performance.

Treatment HH HL LH LL SEM P-value
Total DF, % 20 20 14 14 Fiber Ratio Fiber × ratio
SF:ISF 1:4 1:6 1:4 1:6
Litter size
Total born 13.30 13.30 12.90 12.80 0.28 0.430 0.930 0.792
Born alive 12.40 12.40 12.10 11.70 0.26 0.385 0.771 0.771
Weaned 11.40 11.40 10.90 10.50 0.37 0.226 0.320 0.911
Survivability of piglets, % 92.59 92.59 91.75 89.10 1.29 0.738 0.290 0.997
Piglet weight, kg
At birth 1.31 1.27 1.29 1.28 0.02 0.700 0.212 0.488
At weaning 6.13a 5.76ab 5.60b 5.49b 0.12 0.002 0.048 0.264
Litter weight, kg
At birth 17.53 16.74 16.48 16.41 0.37 0.226 0.790 0.554
At weaning 69.65a 63.21ab 61.24ab 57.04b 2.72 0.011 0.058 0.682
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SEM standard error of means, DF dietary fiber, SF soluble fiber, ISF insoluble fiber.

a,bMeans with different superscripts within rows are significantly different at (P < 0.05).

Fecal short-chain fatty acids levels

The fecal concentration of; acetate, propionate, butyrate, isovalerate and the total SCFAs was significantly greater (P < 0.05) in the high SF treatments compared to the high ISF treatments. There was no interaction between the level of DF and the ratio of SF:ISF (Table 4).

Table 4.

Effects of total dietary fiber levels and soluble, insoluble dietary fiber ratio on short-chain fatty acid in feces of sows.

Treatment HH HL LH LL SEM P- value
Total DF, % 20 20 14 14 Fiber Ratio Fiber × ratio
SF:ISF 1:4 1:6 1:4 1:6
SCFA, µmol/g
Acetate 68.54a 65.16ab 66.58ab 62.35b 1.817 0.198 0.043 0.818
Propionate 15.41a 13.75b 15.14a 13.51b 0.329 0.442 0.001 0.953
Butyrate 8.34a 7.51b 8.07a 7.37b 0.339 0.551 0.029 0.852
Isobutyrate 3.35 3.28 3.27 3.29 0.124 0.794 0.825 0.700
Valerate 3.07 2.97 3.12 3.03 0.064 0.401 0.152 0.973
Isovalerate 5.14a 4.77b 5.15a 4.75b 0.125 0.966 0.004 0.903
Total SCFA 105.47a 99.93b 102.81a 95.92b 2.200 0.138 0.008 0.760
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SEM standard error of means, SCFA short-chain fatty acid, DF dietary fiber, SF soluble fiber, ISF insoluble fiber.

a,bMeans with different superscripts within rows are significantly different at (P < 0.05).

Gut barrier biomarkers

Plasma zonulin concentration was significantly decreased (P < 0.05) in the high SF treatments than in the high ISF treatments. Fecal lipocalin-2 level was elevated in the high ISF-fed groups compared to the high SF-fed groups. There was a tendency toward lower serum LPS (P = 0.052) in the high SF treatments than in the high ISF treatments. The level of LBP in serum tended to be lower (P = 0.085) in the high SF-fed diets compared to the high ISF-fed diets (Table 5).

Table 5.

Effects of total dietary fiber levels and soluble, insoluble dietary fiber ratio on plasma zonulin, fecal lipocalin, serum LPS and LBP levels of sows.

Treatment HH HL LH LL SEM P-value
Total DF, % 20 20 14 14 Fiber Ratio Fiber × ratio
SF:ISF 1:4 1:6 1:4 1:6
Zonulin, pg/ml 624.10b 740.03a 650.71ab 753.50a 31.83 0.533 0.002 0.838
Lipocalin-2, µg/g 26.93b 30.20a 26.50b 30.05a 0.357 0.423  > 0.001 0.683
LPS, ng/ml 73.96 78.67 74.44 80.47 2.678 0.674 0.052 0.807
LBP, ng/ml 28.56 30.17 29.06 31.37 1.104 0.447 0.085 0.754
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SEM standard error of means, LPS lipopolysaccharides, LBP lipopolysaccharides-binding protein, DF dietary fiber, SF soluble fiber, ISF insoluble fiber.

a,bMeans with different superscripts within rows are significantly different at (P < 0.05).

Metabolites

The variable importance projection VIP > 1 and p < 0.05 were utilized to determine the impacts of metabolite compounds on the variations. Metabolites including fatty acids lipids, carbohydrates, amino acids and organic acids in the sow’s feces were detected in multiple biochemical processes. The levels of Fatty acid biosynthesis, fatty acid elongation, urea cycle, arginine and proline metabolism, purine metabolism, betaine metabolism, Glycolysis/gluconeogenesis, and biotin metabolism were higher in sows fed on higher DF level (20%) than those on 14% DF level (Fig. 3a). On the other hand, butanoate metabolism, steroid biosynthesis, fatty acid biosynthesis, ethanol degradation, urea cycle, D-arginine and D-Ornithine metabolism, Methionine metabolism, Arginine and Proline metabolism, and Betaine metabolism were significantly increased in the higher SF:ISF diets (1:4) compared with the lower SF:ISF (1:6) treatments. The levels of pyruvate metabolism, and propionate metabolism were significantly increased in the lower SF:ISF (1:6) dietary treatments (Fig. 3b). On the basis of metabolite concentration changes, analysis of metabolic pathways identified steroid biosynthesis, biotin metabolism, and fatty acid degradation were significant in the 20% DF diets than the 14% treatments. Pyruvate metabolism was increased in the 14% DF level diets (Fig. 4a). Fatty acid biosynthesis, steroid biosynthesis, fatty acids degradation, lysine degradation, biotin metabolism was higher in the 1:4, SF:ISF treatments compared to the 1:6, SF:ISF diets. Glycolysis/ gluconeogenesis, and pyruvate metabolism were enhanced in the 1:6, SF:ISF treatments compared to the 1:4, SF:ISF diets (Fig. 4b).

Figure 3.

Figure 3

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Effect of dietary fiber levels and soluble, insoluble dietary fiber ratio on significant metabolite sets accountable for class discrimination with variable importance projection (VIP) > 1 identified in the feces of sows fed different fiber levels during late gestation. (a) 20% vs. 14% ditary fiber level; (b) 1:4 vs. 1:6 soluble to insoluble fiber ratios.

Figure 4 .

Figure 4 

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Effect of dietary fiber levels and soluble to insoluble dietary fiber ratio on metabolome view map of the differential metabolites (variable importance projection > 1, P < 0.05) identified in the feces of sows during late gestation. (a) 20% vs. 14% dietary fiber level; (b) 1:4 vs. 1:6 soluble to insoluble ratio. The x-axis represents the pathway impact, and the y-axis represents the pathway enrichment. The node color is based on its P-value, and the node radius is determined based on the pathway impact values. Larger sizes and darker colors represent higher pathway enrichment and impact values, respectively.

Discussion

Increased respiratory rates and vasodilation are some of the thermoregulatory mechanisms pigs use to increase the transfer of excess heat to the environment under high climatical conditions. High rectal temperature is occasioned by the diversion of blood from the viscera to the periphery in order to dissipate heat. On the other hand, increased respiratory rate increase lung evaporation and heat loss17. In this study, on day 114 of gestation, the sows' average respiratory rate averaged around 72mov/min, while the rectal temperature was at a high of 39 °C which is a sign of elevated body heat. Significant lower respiratory rates during days 107 to 110 of gestation and lower rectal temperature between d 100–104 of gestation were recorded in this study in the high DF level and SF-fed which is indicative of reduced body heat in these groups. Reduced respiratory rate lowers the thoracic muscle movements further lowering heat generation while reduced rectal temperature avoids cell apoptosis and organ damage.

Blood cortisol levels in mammals are frequently used as indicators of stress18. In our current study, cortisol level was significantly downregulated in the higher SF diets rather than the higher ISF diets which further illustrated lowered stress levels in the higher SF treatments. Additionally, oxidative stress levels can be determined by parameters such as MDA and SOD. In this study serum SOD tended to be higher in the higher SF treatments pointing towards improved antioxidant capacity and consequently declined stress19. Although we did not investigate blood cortisol levels, hair cortisol could be a better predictor of chronic stress as cortisol accumulates in the hair shafts during the experimental period. Besides, hair sampling being a non-invasive technique, especially during this stressful period in sows20. The mechanisms underlying the effects of dietary fiber on gestating sows' stress levels have not yet been fully understood, satiety may be linked to reduced cortisol.

Sow BW and BF during gestation did not differ among the groups in this study, which is consistent with earlier research showing that dietary fiber supplementation had no effect on BW and BF gain during gestation when energy was similar, regardless of fiber level or source21. Additionally, during gestation, the sow partitions most of its dietary energy towards the growth and development of the fetus rather than converting it to body reserves22. Sow BW at weaning was not affected by either the level of DF or the ratio of SF to ISF. We attributed this to the higher mobilization of lipids from fatty tissues to fulfill the demand for milk production23 since DF is less dense in nutrients. In our current study, we report reduced loss of BF in the higher DF diets and a lower tendency to BF loss in the higher SF diets. This could be due to enhanced fermentation giving rise to greater SCFAs especially acetic, butyric, and propionic acids, which are utilized in lactogenesis instead of body fat reserves21.

Lactational feed consumption is of paramount importance not only for sow subsequent productivity but also for the suckling litters’ growth performance. Low ADFI during lactation leads to increased mobilization of body reserves which has been linked to decreased sow’s reproductive performance24. Increased voluntary feed intake especially in primiparous sows could be significant in maintaining body condition as loss in body condition during lactation may result in reproductive failure25. In the present study, lactation feed intake was higher in the high dietary fiber diets compared with those fed on lower DF diets. Consistent with our results, Tan et al.26 reported increased ADFI during lactation when sows fed on the high fiber during gestation. We hypothesized that increased ADFI could be due to increased insulin sensitivity occasioned by the higher total fermentable fibers. During late pregnancy and lactation in sows, insulin resistance has been reported which negatively affects feed intake during lactation27,28. Additionally, high fiber diets during pregnancy potentially increase the size and capacity of the digestive tract, and the bulkiness of the diet makes it easier for sows to adjust to the significant rise in feed intake essential during lactation29.

Longer parturition time increases the danger of fetal hypoxia resulting in the number of stillborn piglets30. In this study, sows receiving high DF diet and higher SF-fed treatments had a shorter parturition duration. The shortened parturition time in the high fiber diets could be due to the reduction of stress responses in sows during parturition. A previous study observed improved postprandial satiety and reduced nervousness with higher DF intake during late gestation in sows and elimination of stereotypic behavior31,32 consequently reducing the farrowing duration. Furthermore, SF is readily fermented by the microbiota in the intestinal gut to yield SCFAs which provide extra energy for the sow to accelerate the parturition process33. Additionally, constipation may prolong farrowing duration through the hard feces acting as a physical barrier in the birth canal at parturition. As observed in this study, fecal score improved in the high DF-fed sows thereby decreasing constipation risk before and during farrowing.

Previous research has shown that sows fed an SF-rich diet during pregnancy had a higher rate of embryo survival and can farrow a greater number of total and live-born piglets than sows fed an ISF-rich diet12 which was attributed to the ability of the gut microbiota to easily ferment SF to yield metabolites such as secondary bile acids, serotonin, and SCFA that are beneficial to embryo growth and survival. Besides, increased intake of SF during gestation promotes beneficial gut bacteria while inhibiting the pathogenic ones hence improving sow health16 which could improve embryo survival. In this study, however, we did not observe increased litter size or increased litter weights at birth by feeding high fiber diet or ratio of SF to ISF. This could be due to the intervention time, as nutritional treatments were provided to sows in late gestation which may not be an effective time to adjust litter as litter size is partly determined during early pregnancy34,35. In this study, higher fiber addition in gestation diets resulted to higher average piglet BW at weaning. In agreement with a previous study, addition of fiber during pregnancy in sows improved piglets’ average BW at weaning13,36. We hypothesized that higher DF diets, could improve intesninal integrity and improve the villus height through nourishment of enterocytes by the increased SCFAs production from DF fermentationwhich in the hindgut. The improved intestinal morphology may increase the ability of intestine to absorb more nutrient during lactation, particularly the first weeks, leading to improved growth performance in suckling piglets in the higher DF treatments.

Dietary fibers by-bass host enzymatic digestion in the upper gut and undergo microbial fermentation in the colon and cecum to yield SCFAs, particularly acetic, butyrate and propionate37,38. In this study, higher quantities of butyric, acetic and propionic acids were observed in the high SF diets than in the higher ISF diets. Similar to our findings, higher production of SCFA in the hindgut in swine was reported with the incorporation of flaxseed meal compared to oat hulls as sources of SF and ISF respectively39. We hypothesized that the production of higher quantities of these three core SCFA (acetic, butyric, propionic) and total SCFAs in higher SF diets could be due to faster and extensive fermentation by microbiota in the gastrointestinal tract as compared to ISF40. This could be due to the higher solubility of the fermentable fiber fractions, which acts as substrates for microbial activity.

The integrity of the intestinal barrier is critical in the maintenance of intestinal homeostasis by excluding pathogens, endotoxins, and antigens from entering the mucosal lamina propria41. High zonulin level in plasma is a marker for impaired intestinal barrier. In this study, reduced zonulin and lipocalin-2 plasma levels in the high SF diets could have potentially improved intestinal barrier function hence reduced gut permeability as observed in the lower tendency of LPS and LBP in blood. We hypothesized that dietary SF could increase the abundance of anti-inflammatory bacteria while decreasing the abundance of gut proinflammatory bacteria by regulating the gut microbiota structure and SCFA production via fermentation of SFs. SCFAs could inhibit the nuclear factor kappa light chain enhancer of activated B cells (NF-κB) pathway and activate nuclear factor erythroid 2-related factor/ heme oxygenase-1 (Nrf2/HO-1) pathway which regulate intestinal cellular redox and protective antioxidant, thus reducing intestinal permeability resulting to decrease in blood endotoxins, lower oxidative stress, and decrease in inflammatory responses, potentially improving the health of sows and piglets.

In this study, metabolomic analysis revealed that in both higher DF and higher ratio of SF:ISF, biotin one of the vitamin B complex was upregulated in the fecal samples. Biotin is an important enzyme co-factor involved in vital metabolic pathways such as fatty acid synthesis. Further, butanoate metabolism which is prominently enriched in the higher SF:ISF treatments yields butyrate which is the main energy source that nourishes colonocytes hence rapid proliferation18 associated with improved gut barrier observed in the higher SF:ISF treatment groups in this study could be attributed to the enhanced butyrate. Steroids biosynthesis begins with acetic acid yielding cholesterol which is then converted to bile acids and steroid hormones such as estradiol and progesterone which have a huge impact in ovarian functions42. In this study, the high steroid biosynthesis observed in the high DF level and SF diets could be due to higher SCFAs generated from fiber fermentation, more especially acetic acid which the precursor for steroid synthesis. Additionally, the gluconeogenesis pathway was significantly enriched in the low DF level and high ISF-fed treatments which potentially could be an indicator of low SCFAs production leading to conversion of proteins and fats to glucose.

Conclusions

The findings of the present investigation suggest that SF:ISF supplementation in sows during late gestation could lessen the harmful effects of heat stress. An increase in the SF:ISF ratio was associated with an increase in many metabolites in fecal samples. However, to assess the impact of dietary soluble and insoluble fibers on metabolite production and pathways at various phases of heat stress, more research is required. Further higher level of dietary fiber (20%) improved; ADFI during lactation, the constipation index, piglets' BW, and decreased the length of the farrowing process as well as BF loss during lactation. these positive characteristics help sows operate better in hot environments.

Materials and methods

The experimental protocols were approved by the Kangwon National University, Chuncheon, Republic of Korea institutional animal care and use committee (KW-210503–6) as per the Regulations for the Administration of Affairs Concerning Experimental Animals of Republic of Korea.

Animals and experimental design

The experiment was undertaken in a commercial swine farm in Haman region in South Korea during the July–August summer of the year 2021, with average environmental temperature of 36.8 °C. Briefly, the sows were artificially inseminated two times after estrus onset, and pregnancy diagnosis and confirmation using ultrasound machine (AV 2100 V: Ambisea Tech. Corp, Shenzhen, China). At day 90 of gestation, A total of 40 Duroc × Landrace × Yorkshire multiparous sows [average parity = 3; approximately 197 ± 23 kg average body weight (BW)] were selected and allotted to one of the four treatments in a completely randomized experimental design to examine the effect of dietary fiber (DF) level, and ratio of insoluble fiber: insoluble fiber (SF:ISF). The treatment diets included 20% DF, 1:4 ratio of SF:ISF (HH), 20% DF, 1:6 ratio of SF:ISF (HL), 16% DF, 1:4 ratio of SF:ISF (LH), and 16% DF, 1:6 ratio of SF:ISF (LL). Each treatment included ten replicated pens composed of two sows from each parity (1, 2,3, 4, 5). One was housed per gestation stall (2.05 × 1.08 m) having concrete slatted floor. Ambient temperature in the gestation barn was averagely 32.2 °C (average day temperatures of 34.6 °C and night 29.8 °C). On day 100 of gestation, sows were relocated to the farrowing room and housed in individual farrowing creates with slatted floor until weaning at day 21 of lactation. A single-space feeder and a nipple drinker were installed in each farrowing crate, allowing for ad libitum access to feed and water. The corn-soybean meal-based basal diets were formulated in accordance with the National Research Council's 201243 were provided from day 90 of gestation to weaning at day 21 of lactation to meet or surpass the nutritional needs of gestation and lactating sows. The formula, chemical composition, and analyzed dietary fiber characteristics of the experimental basal diets (as-fed-basis) are shown in Table 6. An infrared lamp was used to heat the piglet area within each farrowing crate. Temperature and humidity monitoring devices (Campbell Scientific Ltd., Shepshed, U.K) placed 1 m above the floor in the gestation and farrowing rooms respectively, were used to continuously measure temperatures and relative humidity and recorded every 5 min. Humidity and temperature were assessed using the temperature and humidity index (THI) as described by Dikmen et al.44. The THI was calculated using the following formula: THI = [(1.8 × T + 32) − (0.55 − 0.0055 × RH) × (1.8 × T − 26)] where RH is the  relative humidity in percent (%); T is the temperature in degree (oC). The temperature and THI during the gestation experimental period are shown in Fig. 5.

Table 6.

Formula, chemical composition and analyzed dietary fiber characteristics of experimental basal diets (as-fed basis).

Total DF, % 20 14
Soluble/insoluble ratio 1:4 1:6 1:4 1:6
Treatment HH HL LH LL
Ingredient (%)
Corn 52.71 53.18 63.16 64.39
SBM dehulled 13.13 11.00 13.55 11.90
Wheat 3.51 14.98 2.16 8.44
Wheat bran 4.50 4.50 4.50 4.50
Sugar beet pulp 20.25 8.69 6.98 –
Soy hull 1.50 1.50 5.00 5.00
Soy oil 1.21 2.66 1.03 2.15
Salt 0.50 0.50 0.50 0.50
MDCP 1.12 1.02 1.16 1.05
Limestone 1.02 1.31 1.36 1.39
DL-Methionine (98%) 0.05 0.05 0.05 0.05
L-Lysine (78.8%) 0.05 0.14 0.08 0.14
L-Tryptophan (10%) 0.06 0.05 0.08 0.07
L-Threonine (98.5%) 0.08 0.10 0.07 0.09
Choline-chloride (50%) 0.06 0.07 0.07 0.08
Vitamin premixa 0.10 0.10 0.10 0.10
Mineral premixb 0.10 0.10 0.10 0.10
Phytase 0.05 0.05 0.05 0.05
Total 100.00 100.00 100.00 100.00
Calculated composition
ME (Kcal/kg) 3,000 3,000 3,200 3,200
CP 13.40 13.40 14.30 14.30
Ca 0.69 0.69 0.70 0.70
Av.P 0.31 0.31 0.32 0.32
SID. Lys 0.58 0.47 0.56 0.50
SID. Met 0.20 0.24 0.23 0.24
SID. Met + Cys 0.48 0.49 0.47 0.56
SID. Thr 0.47 0.46 0.48 0.49
SID. Trp 0.14 0.13 0.13 0.14
ADF 5.05 5.26 3.95 4.09
NDF 16.23 16.61 11.59 11.98
TF 20.00 19.94 14.00 13.99
Soluble fiber 3.97 2.84 2.78 1.97
Insoluble fiber 16.03 17.10 11.22 12.02
SF/ISF ratio 1:4 1:6 1:4 1:6
Analyzed dietary fiber characteristics
Total dietary fiber 20.06 19.99 13.96 13.97
Soluble fiber 3.96 2.85 2.82 1.99
Insoluble fiber 16.04 17.14 11.14 11.98
SF/ISF 4.05 6.01 3.95 6.02
Open in a new tab

DF dietary fiber, SF soluble fiber, ISF insoluble fiber, ADF acid detergent fiber, NDF neutral detergent fiber, TF total fiber.

aSupplied per kilogram of vitamin premix for 14% DF diets: 12,000,000 IU vitamin A, 2,400,000 IU vitamin D3, 132,000 IU vitamin E, 1500 mg vitamin K3, 3000 mg vitamin B1, 11,250 mg vitamin B2, 3000 mg vitamin B6, 45 mg vitamin B12, 36,000 mg pantothenic acid, 30,000 mg niacin, 600 mg biotin, 4000 mg folic acid. The vitamin contents were 6.7% lower in 20% DF diets.

bSupplied per kilogram of mineral premix for 14% DF diets: 80,000 mg Fe, 170 mg Co, 8500 mg Cu, 25,000 mg Mn, 95,000 mg Zn, 140 mg I, 150 mg Se. The mineral contents were 6.7% lower in 20% DF diets.

Figure 5.

Figure 5

Open in a new tab

The ambient temperature and temperature humidity index (THI) during heat stress in sows during the experimental period. Ambient temperature (black line) and (THI) temperature-humidity index (grey line) during experimental period.

Blood and fecal sample collection

Blood samples (8 mL) were taken by puncture of the ear veins of fasting sows and placed in vacuum tubes (5 mL) and heparinized tubes (5 mL) for analysis. The samples were centrifuged at 3000 for 15 min at 4 °C in vacuum tubes to extract serum samples, which were then stored at −80 °C for further analysis. Fecal samples were taken twice a day at 7:00 a.m. and 15:30 a.m, pooled, sealed in plastic bags, and frozen at −20 °C. Following sample collection, the fecal samples for each sow were thawed and pooled together, then dried for 72 h in a forced-draft oven (65 °C), ground through a 1-mm screen, and thoroughly mixed before a subsample was taken for chemical analysis.

Rectal temperature and respiratory rate

A digital thermometer inserted 2 cm into the rectum was used to measure the rectal temperature every morning and evening from 0800 to 0900, and 1700 to 1800 respectively throughout the experimental period. The respiratory rate was equally recorded at the same time by counting the number of breaths/min through observation of the thoracic movement when sow is at rest on a lying position.

Hair cortisol level

Cortisol levels in the hair were measured as previously described45. Hair samples were shaved from the foreheads of sows at day 90 and day 112 of gestation, respectively. Hair samples were gathered and kept in aluminum foil before being dried in polypropylene tubes (HM Hyundai Micro Co., Korea). To remove contaminations, samples were washed with 5 ml isopropyl alcohol three times and dried for seven days at room temperature (23 ± 1 °C). After drying, cortisol was extracted using a methanol dilution method and tested with ELISA kit according to the manufacturer's instructions (Cayman Chemical, Ann Arbor, MI).

Superoxide dismutase and malondialdehyde blood plasma levels

Plasma SOD was determined by the method described by Sun et al.46. Total SOD (T-SOD) activity was determined using a previously reported indirect competition test between SOD and the indicator chemical, nitroblue tetrazolium, for superoxide generated by xanthine–xanthine oxidase47. T-SOD activity units were calculated by defining 1 unit as the amount of sample protein capable of inhibiting nitroblue tetrazolium reduction by 50% of maximum inhibition. The data were normalized to the amount of protein in the sample and represented as U/mg protein.Plasma lipid peroxidation was determined by the reaction of Malondialdehyde (MDA) with thiobarbituric acid (TBA) as described by Esterbauer and Cheeseman48. In brief, 1 mL of thawed plasma sample was added to 1 mL ethylenediaminetetraacetic acid [0.037 g ethylenediaminetetraacetic acid (EDTA) in 10 mL distilled water], 2 mL trichloroacetic acid (TCA) (3 g TCA in 30 mL distilled water), and 1 mL butylated hydroxytoluene (BHT) (0.2 g BHT in 10 mL ethanol) in a boiling tube. the mixture was then centrifuged at 1200 g for 15 min. 1 mL of the supernatant was then incubated in with 1 mL of TBA (0.134 g TBA in 20 mL distilled water) on a water bath at 90 °C for 20 min. A spectrophotometer (Bausch and Lomb Supertonic 70, Feldkirchen, Germany) was used to assess the absorbance at 532 nm wavelength after cooling.

Sows’ reproductive performance

Sow weight and backfat thickness were measured at day 90 of gestation, within 24 h post-partum, and at weaning. Sow BW was measured by dynamic weighbridge method using electronic pig weigh scale (Qingdao AN-1T, Simei, Shanghai, China) as described by Kim et al.36. Backfat thickness was measured by ultrasonography (Sonolayer SAL-32B, Toshiba, Tokyo, Japan) at 65 mm from the midline at the last-rib level. Piglets were weighed individually at birth, and at weaning on day 21. Every morning, feed refusals were collected between 0700 and 0800, and fresh feed was immediately distributed. Feed consumption was obtained by getting the difference between feed allowance and the refusals collected the next morning. The weaning-to-estrus interval (WEI) for each sow was recorded as the number of days between weaning and onset of the next estrus.

Fecal SCFAs concentration

The SCFA levels in fecal samples were determined using gas chromatography (GC) as described by Liu et al.20. The samples were separated using a TRACE 1310 GC with a flame ionization detector and analyzed on an HP-88 column (100-m length, 0.25-mm diameter, and 0.2-m film thickness from the producer). The following was the temperature schedule: 70 °C for 1 min, followed by an increase to 180 °C held at 25 °C for 1 min, 200 °C maintained at 10 °C for 1 min, 220 °C held at 2 °C for 10 min, and lastly 240 °C held at 20 °C for 6 min. The sample was run at a 20:1 split ratio and a 1.3 ml/min column flow rate. As a carrier gas, hydrogen is employed. The injector is set to 270 °C, while the detector is set to 290 °C.

Gut barrier biomarkers

Sow serum and fecal samples were evaluated for lipopolysaccharide (LPS), zonulin, lipocalin-2, and binding protein LBP) using enzyme-linked immunosorbent assay technology (Nanjing Jiancheng Bioengineering Institute, Nanjing, China), inflammatory variables were assessed.

Fecal metabolomics sample preparation and analysis

The amounts of metabolites in sow feces were measured using GC–MS. 100 mg fecal sample was transferred to 5-ml centrifuge tubes, mixed with 500 μL distilled water, and vortexed for 60 s, according to He et al.18. Then, as an internal quantitative standard, 1000 μL methanol was added and vortexed for 30 s. After 30 min of incubation on ice, the ultrasound machine was used to keep samples at 25 °C for 10 min. After that, the centrifuge procedure (5000 r/min; 5 °C; 15 min) was done. All the supernatants were dried and deposited in 2 mL centrifuge tubes. The dried samples were then added to 60 μL of methoxyamine solution in pyridine, vortexed for 30 s, before being reacted for 120 min at 37 °C. 60 μL trifluoroacetamide reagent (containing 1% FMCS) was added and centrifuged (5000 r/min; 5 °C; 15 min) for 90 min at 37 °C. The resultant supernatant was transferred to a sample vial then analyzed using an Agilent 7890A/5975C GC–MS (Agilent Technologies, Santa Clara, CA, USA).

Statistical analyzes

The GLM procedure was used for the statistical analysis (SAS Inst. Inc. Cary, NC), based on a completely randomized design. Parity number was included as a fixed effect and initial BW as a covariate. Significant differences of (P < 0.05) among the treatment were considered statistically different using Turkey’s Honestly Significant Difference procedure. individual sow was considered as the experimental unit for all parameters. The metabolites were identified and normalized to (13C2)-myristic acid and stable isotope IS using the gathered raw data (http://srdata.nist.gov/gateway/, accessed on 6 February 2022). The software program SIMCAP + version 13.0 was used to carry out the statistical analysis (Umetrics, Umea, Sweden). The effect of heat stress on metabolic pathways and metabolite set enrichment analysis was determined as per (http://www.metaboanalyst.ca/faces/ModuleView.xhtml) online tool accessed on July 11, 202218.

‘ARRIVE’ recommendation

The reporting in this manuscript conforms with the Animal Research: Reporting of In Vivo Experiments recommendations.

Acknowledgements

This work was carried out with the support of “Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ01479601)” Rural Development Administration, Republic of Korea.

Author contributions

Conceptualization: J.S.K., J.M., A.H. Data curation: J.M., S.H.H. Formal Analysis: J.M., A.H., J.S.K. Funding acquisition: J.S.K Investigation: S.H.H., H.T. Methodology: A.H., J.M., H.T. Project administration: J.M., J.S.K. Resources: S.H.H, J.S.K. Software: A.H., J.Y.M. Supervision: J.S.K. Validation: J.M., S.H.H., H.T. Visualization: A.H., J.B.P., J.S.K. Writing: J.M., A.H., J.S.K.

Data availability

The corresponding author can provide the datasets for this work upon reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

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

These authors contributed equally: Joseph Moturi and Abdolreza Hosseindoust.

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Data Availability Statement

The corresponding author can provide the datasets for this work upon reasonable request.

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