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Application of the Combination of Soybean Lecithin and Whey Protein Concentrate 80 to Improve the Bile Salt and Acid Tolerance of Probiotics
Yunnan Huangshi Lesson Dairy Industry Co., Ltd., Dali 671000, P.R. China
Correspondence to:J. Microbiol. Biotechnol. 2021; 31(6): 840-846
Published June 28, 2021 https://doi.org/10.4014/jmb.2103.03017
Copyright © The Korean Society for Microbiology and Biotechnology.
Abstract
Keywords
Graphical Abstract
Introduction
In 2001, the Food and Agriculture Organization (FAO) and the World Health Organization (WHO) defined probiotics as “live microorganisms which when administered in adequate amounts confer a health benefit on the host.” Probiotics are the most effective and accessible tools for modulating gut microbiota and thereby altering human health and diseases. Presently, lactic acid bacteria (LAB) and
Apart from the various health-promoting benefits, the most important characteristic of probiotics is that viable microbiota can pass through the acidic and high bile salt environments in the stomach and duodenum to exert their function [6, 7]. During production and consumption, probiotics face various stresses such as acid, bile salt, osmotic pressure, temperature and oxygen. To confer health benefits to the host, viable cells should reach and colonize the lower gastrointestinal tract. Therefore, probiotics should be resistant to the deleterious effects of gastric acid and bile salts [8].
In recent years, many researchers have investigated the effects and mechanisms of various substances on bile salt resistance. Specifically, treatment of probiotics with exogenous substances, such as lactose [9], soy lecithin [10], whey protein isolates [11], maltodextrin [12], and lotus seed resistant starch [13], can effectively enhance bile salt tolerance by enhancing cell hydrophobicity, altering the fatty acid composition of the cell membranes, and inducing the expression of bile salt hydrolase genes. However, the initial survival rate of probiotics cannot be recovered after treatment with these substances, and different effects are observed in different species. Bile salts damage bacterial cell membranes by altering the composition of membrane lipids through changing the production of proteins involved in fatty acid metabolism [14-16]. They also cause cell death by disrupting the lipid packaging and proton motive forces [17]. Additionally, they cause DNA and RNA oxidative damage, protein misfolding [18], and intracellular acidification [19]. Therefore, the addition of a single exogenous substance may not be sufficient to prevent the degradation of probiotics. Hence, we speculated that a simultaneous treatment of probiotics with different substances may further improve the bile salt tolerance.
Whey protein isolates not only enhanced bile salt tolerance but also improved acid tolerance [11]. WPC 80, which contains more than 80% protein, is produced by removing a certain percentage of non-protein constituents from pasteurized whey derived from cheese processing. As a dry dairy ingredient, WPC 80 is generally used in food products and is more cost effective than whey protein isolate. Moreover, whey supplements can significantly alter the ratio of the range of proteins and fatty acids [20] and can act as a probiotic carrier for gastrointestinal transit [21]. Soybean lecithin, which is a byproduct of soybean oil processing and is composed of choline, fatty acids, glycerol, glycolipids, phospholipids, phosphoric acid and triglycerides, can enhance cell surface hydrophobicity and alter fatty acid composition to improve bile salt resistance [10]. To date, there has been no research studying the potential of combining the different substances mentioned above. Therefore, in our study, we designed a novel method that combines soybean lecithin and WPC 80 to treat
Materials and Methods
Organisms, Media and Growth Conditions
The strain
The bile salt-MRS/M17 (BS-MRS/M17) medium used to test the bile salt tolerance was prepared by adding different concentrations ((w/v)%) of cow bile salt (Gentihold, China) to MRS/M17 broth, buffered with 0.1 mol/L sodium phosphate to a final pH of 7.3, and sterilized at 121°C for 20 min.
The soybean lecithin-MRS/M17 (SL-MRS/M17) medium was prepared by adding different concentrations ((w/v)%) of soybean lecithin (Beijing Land Bridge, China) to MRS/M17 and sterilizing it at 121°C for 20 min after adjusting the pH to 6.4.
The WPC 80-MRS/M17 medium was prepared by adding different concentrations ((w/v)%) of WPC 80 (Friesland Campina DMV, The Netherlands), whose concentration was twice the final concentration, filtered with a 0.22 μm polyethersulfone (PES) filter, and mixed with an equal volume of double-strength MRS/M17, which was sterilized at 121°C for 20 min with the final pH adjusted to 6.4.
The WPC 80-SL-MRS/M17 broth was prepared by adding different concentrations of WPC 80, whose concentration was twice the final concentration, filtered with a 0.22 μm PES filter, and mixed with an equal volume of different concentrations of SL-MRS/M17. The concentration of each substance was twice the final concentration and the medium was sterilized at 121°C for 20 min with the final pH adjusted to 6.4.
Bile Salt Tolerance
The bile salt tolerance was assessed as previously described by Hu
where C0 is the viable cell counts in the culture medium before the cow bile salt challenge, and C1 is the viable cell counts in the culture medium after the cow bile salt challenge, respectively.
Acid Tolerance
Acid tolerance was assessed as previously described [11] with slight modifications.
where C0 is the viable cell counts in the culture medium before the acid challenge, and C1 is the viable cell counts in the culture medium after the acid challenge, respectively.
Central Composite Design and Statistical Analysis
The experimental designs for response surface methodology (RSM), regression analysis and variance analysis were performed using Design Expert 8.0.6 (Stat-Ease, Inc., USA). Statistical analyses were performed using a two-way analysis of variance (ANOVA) with the GraphPad Prism software (GraphPad Software, Inc., USA). All experiments were conducted in triplicate and the results provided as mean ± SD. Statistical significance was set at
Results
Bile Salt Tolerance of L. paracasei L9
First, we characterized the bile salt tolerance of
-
Fig. 1. Figure 1
Effect of Soybean Lecithin on the Bile Salt Tolerance of L. paracasei L9
We subsequently assessed the effects of different concentrations (0.2, 0.4, 0.6, 0.8, 1.0% (w/v)) of soybean lecithin on the bile salt tolerance of
Effect of WPC 80 on the Bile Salt Tolerance of L. paracasei L9
We next investigated the effect of WPC 80 on the bile salt tolerance of
Experimental Design and Results of Central Composite Design
Although soybean lecithin and WPC 80 demonstrated significant effects on the bile salt tolerance of
-
Table 1 . Design and results of central composite design for response surface methodology.
Run Factor A Soybean lecithin ((w/v)%) Factor B WPC 80 ((w/v)%) Response Log10(viable cell count (CFU/ml)) 1 0.60 2.50 9.23735 2 0.60 2.50 9.22011 3 0.60 2.50 9.27184 4 0.50 3.00 8.18136 5 0.60 2.50 9.22011 6 0.60 1.79 8.54218 7 0.70 2.00 9.05098 8 0.60 3.21 8.36326 9 0.46 2.50 8.54195 10 0.70 3.00 9.11844 11 0.60 2.50 9.24597 12 0.74 2.50 9.4302 13 0.50 2.00 8.51178
Regression Analysis
Based on the central composite design results, we obtained the quadratic regression model using Design Export 8.0.6. The regression function with the two variables can be expressed as:
R = −3.94 + 13.74A + 6.56B + 1.99AB − 12.74A2 − 1.58B2,
where R, A, and B represent log10 viable cell counts, soybean lecithin concentration, and WPC 80 concentration, respectively.
ANOVA for the Response Surface Quadratic Model
Next, we estimated the validation of the model based on statistical significance by performing an ANOVA. ANOVA for the regression equation of log10 viable cell counts is shown in Table 2. The results indicate that the model is extremely significant, and there is a slight chance that a large “Model F-value” can occur due to noise. All model terms, including A, B, AB, A2, and B2 significantly contributed to the response value R (pA < 0.01, pB < 0.01, pAB < 0.01, pA2 < 0.01, pB2 < 0.01). Meanwhile, the lack of fit (
-
Table 2 . ANOVA analysis for regression equation.
Source Sum of squares df Mean square F Value p -value
Prob>FModel 2.13 5 0.43 375.12 < 0.0001*** A 0.07 1 0.07 61.42 0.0001*** B 0.46 1 0.46 403.54 < 0.0001*** AB 0.04 1 0.04 34.89 0.0006*** A2 0.11 1 0.11 99.6 < 0.0001*** B2 1.08 1 1.08 952.56 < 0.0001*** Residual 7.94E-03 7 1.13E-03 Lack of Fit 6.10E-03 3 2.03E-03 4.41 0.0929 Pure Error 1.84E-03 4 4.61E-04 Cor Total 2.14 12 a ***means
p < 0.001.
-
Table 3 . Fit statistics for regression equation.
Source Value Source Value Standard deviation 0.034 R-Squared 0.9963 Mean 8.92 Adjusted R-Squared 0.9936 C.V. % 0.38 Predicted R-Squared 0.9783 PRESS 0.046 Adequate Precision 54.859
Furthermore, to estimate the effect of the interaction of soybean lecithin and WPC 80 on the response variable, we constructed two-dimensional contour and three-dimensional plots (Fig. 2) of the response against soybean lecithin and WPC 80. The two plots demonstrated the variation in the log10 viable cell counts with various concentrations of soybean lecithin and WPC 80, and it appears to have a single optimum condition. Meanwhile, the elliptical contour plots indicated that the interaction between soybean lecithin and WPC 80 (AB) was significantly important (pAB < 0.01) for the log10 viable cell counts.
-
Fig. 2. Figure 2
According to the quadratic function, we ascertained the estimated maximum response value of log10 viable cell counts 9.46 corresponding to viable cell counts of 2.89 × 109 CFU/ml at optimal settings of 0.74% soybean lecithin and 2.54% WPC 80. Then, we performed a confirmation experiment under the estimated optimal settings to evaluate the accuracy of the quadratic model. The results (Fig. 3) showed that the observed response value of viable cell counts was 2.97 × 109 CFU/ml, corresponding to log10 viable cell counts of 9.47 (
-
Fig. 3. Figure 3
Due to the acquisition of bile salt resistance could increase the survival rate of
Additionally, we also tested the general applicability of the optimized method for other LAB. The results illustrated that the effectiveness of this method was also applicable for other probiotics, such as
-
Fig. 4. Figure 4
Discussion
Some studies demonstrated that whey protein can improve the resistance to bile salts in
Acknowledgments
This work was supported by Yunnan Engineering Technology Research Center of Dairy Products Fermentation [2018DH003.]
Conflicts of Interest
The authors have no financial conflicts of interest to declare.
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Related articles in JMB
Article
Research article
J. Microbiol. Biotechnol. 2021; 31(6): 840-846
Published online June 28, 2021 https://doi.org/10.4014/jmb.2103.03017
Copyright © The Korean Society for Microbiology and Biotechnology.
Application of the Combination of Soybean Lecithin and Whey Protein Concentrate 80 to Improve the Bile Salt and Acid Tolerance of Probiotics
Xuelei Gou*, Libo Zhang, Shiwei Zhao, Wanping Ma, and Zibiao Yang
Yunnan Huangshi Lesson Dairy Industry Co., Ltd., Dali 671000, P.R. China
Correspondence to:Xuelei Gou, gouxuelei15@mails.ucas.ac.cn
Abstract
To improve the bile salt and acid tolerance of probiotics against gastrointestinal stresses, we investigated the effects of soybean lecithin and whey protein concentrate (WPC) 80 on the bile salt tolerance of Lacticaseibacillus paracasei L9 using a single-factor methodology, which was optimized using response surface methodology (RSM). The survival rate of L. paracasei L9 treated with 0.3% (w/v) bile salt for 2.5 h, and combined with soybean lecithin or WPC 80, was lower than 1%. After optimization, the survival rate of L. paracasei L9 incubated in 0.3% bile salt for 2.5 h reached 52.5% at a ratio of 0.74% soybean lecithin and 2.54% WPC 80. Moreover, this optimized method improved the survival rate of L. paracasei L9 in low pH condition and can be applied to other lactic acid bacteria (LAB) strains. Conclusively, the combination of soybean lecithin and WPC 80 significantly improved the bile salt and acid tolerance of LAB. Our study provides a novel approach for enhancing the gastrointestinal tolerance of LAB by combining food-derived components that have different properties.
Keywords: Lacticaseibacillus paracasei L9, bile salt tolerance, acid tolerance, soybean lecithin, whey protein concentrate 80, response surface methodology
Introduction
In 2001, the Food and Agriculture Organization (FAO) and the World Health Organization (WHO) defined probiotics as “live microorganisms which when administered in adequate amounts confer a health benefit on the host.” Probiotics are the most effective and accessible tools for modulating gut microbiota and thereby altering human health and diseases. Presently, lactic acid bacteria (LAB) and
Apart from the various health-promoting benefits, the most important characteristic of probiotics is that viable microbiota can pass through the acidic and high bile salt environments in the stomach and duodenum to exert their function [6, 7]. During production and consumption, probiotics face various stresses such as acid, bile salt, osmotic pressure, temperature and oxygen. To confer health benefits to the host, viable cells should reach and colonize the lower gastrointestinal tract. Therefore, probiotics should be resistant to the deleterious effects of gastric acid and bile salts [8].
In recent years, many researchers have investigated the effects and mechanisms of various substances on bile salt resistance. Specifically, treatment of probiotics with exogenous substances, such as lactose [9], soy lecithin [10], whey protein isolates [11], maltodextrin [12], and lotus seed resistant starch [13], can effectively enhance bile salt tolerance by enhancing cell hydrophobicity, altering the fatty acid composition of the cell membranes, and inducing the expression of bile salt hydrolase genes. However, the initial survival rate of probiotics cannot be recovered after treatment with these substances, and different effects are observed in different species. Bile salts damage bacterial cell membranes by altering the composition of membrane lipids through changing the production of proteins involved in fatty acid metabolism [14-16]. They also cause cell death by disrupting the lipid packaging and proton motive forces [17]. Additionally, they cause DNA and RNA oxidative damage, protein misfolding [18], and intracellular acidification [19]. Therefore, the addition of a single exogenous substance may not be sufficient to prevent the degradation of probiotics. Hence, we speculated that a simultaneous treatment of probiotics with different substances may further improve the bile salt tolerance.
Whey protein isolates not only enhanced bile salt tolerance but also improved acid tolerance [11]. WPC 80, which contains more than 80% protein, is produced by removing a certain percentage of non-protein constituents from pasteurized whey derived from cheese processing. As a dry dairy ingredient, WPC 80 is generally used in food products and is more cost effective than whey protein isolate. Moreover, whey supplements can significantly alter the ratio of the range of proteins and fatty acids [20] and can act as a probiotic carrier for gastrointestinal transit [21]. Soybean lecithin, which is a byproduct of soybean oil processing and is composed of choline, fatty acids, glycerol, glycolipids, phospholipids, phosphoric acid and triglycerides, can enhance cell surface hydrophobicity and alter fatty acid composition to improve bile salt resistance [10]. To date, there has been no research studying the potential of combining the different substances mentioned above. Therefore, in our study, we designed a novel method that combines soybean lecithin and WPC 80 to treat
Materials and Methods
Organisms, Media and Growth Conditions
The strain
The bile salt-MRS/M17 (BS-MRS/M17) medium used to test the bile salt tolerance was prepared by adding different concentrations ((w/v)%) of cow bile salt (Gentihold, China) to MRS/M17 broth, buffered with 0.1 mol/L sodium phosphate to a final pH of 7.3, and sterilized at 121°C for 20 min.
The soybean lecithin-MRS/M17 (SL-MRS/M17) medium was prepared by adding different concentrations ((w/v)%) of soybean lecithin (Beijing Land Bridge, China) to MRS/M17 and sterilizing it at 121°C for 20 min after adjusting the pH to 6.4.
The WPC 80-MRS/M17 medium was prepared by adding different concentrations ((w/v)%) of WPC 80 (Friesland Campina DMV, The Netherlands), whose concentration was twice the final concentration, filtered with a 0.22 μm polyethersulfone (PES) filter, and mixed with an equal volume of double-strength MRS/M17, which was sterilized at 121°C for 20 min with the final pH adjusted to 6.4.
The WPC 80-SL-MRS/M17 broth was prepared by adding different concentrations of WPC 80, whose concentration was twice the final concentration, filtered with a 0.22 μm PES filter, and mixed with an equal volume of different concentrations of SL-MRS/M17. The concentration of each substance was twice the final concentration and the medium was sterilized at 121°C for 20 min with the final pH adjusted to 6.4.
Bile Salt Tolerance
The bile salt tolerance was assessed as previously described by Hu
where C0 is the viable cell counts in the culture medium before the cow bile salt challenge, and C1 is the viable cell counts in the culture medium after the cow bile salt challenge, respectively.
Acid Tolerance
Acid tolerance was assessed as previously described [11] with slight modifications.
where C0 is the viable cell counts in the culture medium before the acid challenge, and C1 is the viable cell counts in the culture medium after the acid challenge, respectively.
Central Composite Design and Statistical Analysis
The experimental designs for response surface methodology (RSM), regression analysis and variance analysis were performed using Design Expert 8.0.6 (Stat-Ease, Inc., USA). Statistical analyses were performed using a two-way analysis of variance (ANOVA) with the GraphPad Prism software (GraphPad Software, Inc., USA). All experiments were conducted in triplicate and the results provided as mean ± SD. Statistical significance was set at
Results
Bile Salt Tolerance of L. paracasei L9
First, we characterized the bile salt tolerance of
-
Figure 1. Figure 1
Effect of Soybean Lecithin on the Bile Salt Tolerance of L. paracasei L9
We subsequently assessed the effects of different concentrations (0.2, 0.4, 0.6, 0.8, 1.0% (w/v)) of soybean lecithin on the bile salt tolerance of
Effect of WPC 80 on the Bile Salt Tolerance of L. paracasei L9
We next investigated the effect of WPC 80 on the bile salt tolerance of
Experimental Design and Results of Central Composite Design
Although soybean lecithin and WPC 80 demonstrated significant effects on the bile salt tolerance of
-
Table 1 . Design and results of central composite design for response surface methodology..
Run Factor A Soybean lecithin ((w/v)%) Factor B WPC 80 ((w/v)%) Response Log10(viable cell count (CFU/ml)) 1 0.60 2.50 9.23735 2 0.60 2.50 9.22011 3 0.60 2.50 9.27184 4 0.50 3.00 8.18136 5 0.60 2.50 9.22011 6 0.60 1.79 8.54218 7 0.70 2.00 9.05098 8 0.60 3.21 8.36326 9 0.46 2.50 8.54195 10 0.70 3.00 9.11844 11 0.60 2.50 9.24597 12 0.74 2.50 9.4302 13 0.50 2.00 8.51178
Regression Analysis
Based on the central composite design results, we obtained the quadratic regression model using Design Export 8.0.6. The regression function with the two variables can be expressed as:
R = −3.94 + 13.74A + 6.56B + 1.99AB − 12.74A2 − 1.58B2,
where R, A, and B represent log10 viable cell counts, soybean lecithin concentration, and WPC 80 concentration, respectively.
ANOVA for the Response Surface Quadratic Model
Next, we estimated the validation of the model based on statistical significance by performing an ANOVA. ANOVA for the regression equation of log10 viable cell counts is shown in Table 2. The results indicate that the model is extremely significant, and there is a slight chance that a large “Model F-value” can occur due to noise. All model terms, including A, B, AB, A2, and B2 significantly contributed to the response value R (pA < 0.01, pB < 0.01, pAB < 0.01, pA2 < 0.01, pB2 < 0.01). Meanwhile, the lack of fit (
-
Table 2 . ANOVA analysis for regression equation..
Source Sum of squares df Mean square F Value p -valueProb>F Model 2.13 5 0.43 375.12 < 0.0001*** A 0.07 1 0.07 61.42 0.0001*** B 0.46 1 0.46 403.54 < 0.0001*** AB 0.04 1 0.04 34.89 0.0006*** A2 0.11 1 0.11 99.6 < 0.0001*** B2 1.08 1 1.08 952.56 < 0.0001*** Residual 7.94E-03 7 1.13E-03 Lack of Fit 6.10E-03 3 2.03E-03 4.41 0.0929 Pure Error 1.84E-03 4 4.61E-04 Cor Total 2.14 12 a ***means
p < 0.001..
-
Table 3 . Fit statistics for regression equation..
Source Value Source Value Standard deviation 0.034 R-Squared 0.9963 Mean 8.92 Adjusted R-Squared 0.9936 C.V. % 0.38 Predicted R-Squared 0.9783 PRESS 0.046 Adequate Precision 54.859
Furthermore, to estimate the effect of the interaction of soybean lecithin and WPC 80 on the response variable, we constructed two-dimensional contour and three-dimensional plots (Fig. 2) of the response against soybean lecithin and WPC 80. The two plots demonstrated the variation in the log10 viable cell counts with various concentrations of soybean lecithin and WPC 80, and it appears to have a single optimum condition. Meanwhile, the elliptical contour plots indicated that the interaction between soybean lecithin and WPC 80 (AB) was significantly important (pAB < 0.01) for the log10 viable cell counts.
-
Figure 2. Figure 2
According to the quadratic function, we ascertained the estimated maximum response value of log10 viable cell counts 9.46 corresponding to viable cell counts of 2.89 × 109 CFU/ml at optimal settings of 0.74% soybean lecithin and 2.54% WPC 80. Then, we performed a confirmation experiment under the estimated optimal settings to evaluate the accuracy of the quadratic model. The results (Fig. 3) showed that the observed response value of viable cell counts was 2.97 × 109 CFU/ml, corresponding to log10 viable cell counts of 9.47 (
-
Figure 3. Figure 3
Due to the acquisition of bile salt resistance could increase the survival rate of
Additionally, we also tested the general applicability of the optimized method for other LAB. The results illustrated that the effectiveness of this method was also applicable for other probiotics, such as
-
Figure 4. Figure 4
Discussion
Some studies demonstrated that whey protein can improve the resistance to bile salts in
Acknowledgments
This work was supported by Yunnan Engineering Technology Research Center of Dairy Products Fermentation [2018DH003.]
Conflicts of Interest
The authors have no financial conflicts of interest to declare.
Fig 1.
Fig 2.
Fig 3.
Fig 4.
-
Table 1 . Design and results of central composite design for response surface methodology..
Run Factor A Soybean lecithin ((w/v)%) Factor B WPC 80 ((w/v)%) Response Log10(viable cell count (CFU/ml)) 1 0.60 2.50 9.23735 2 0.60 2.50 9.22011 3 0.60 2.50 9.27184 4 0.50 3.00 8.18136 5 0.60 2.50 9.22011 6 0.60 1.79 8.54218 7 0.70 2.00 9.05098 8 0.60 3.21 8.36326 9 0.46 2.50 8.54195 10 0.70 3.00 9.11844 11 0.60 2.50 9.24597 12 0.74 2.50 9.4302 13 0.50 2.00 8.51178
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Table 2 . ANOVA analysis for regression equation..
Source Sum of squares df Mean square F Value p -valueProb>F Model 2.13 5 0.43 375.12 < 0.0001*** A 0.07 1 0.07 61.42 0.0001*** B 0.46 1 0.46 403.54 < 0.0001*** AB 0.04 1 0.04 34.89 0.0006*** A2 0.11 1 0.11 99.6 < 0.0001*** B2 1.08 1 1.08 952.56 < 0.0001*** Residual 7.94E-03 7 1.13E-03 Lack of Fit 6.10E-03 3 2.03E-03 4.41 0.0929 Pure Error 1.84E-03 4 4.61E-04 Cor Total 2.14 12 a ***means
p < 0.001..
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Table 3 . Fit statistics for regression equation..
Source Value Source Value Standard deviation 0.034 R-Squared 0.9963 Mean 8.92 Adjusted R-Squared 0.9936 C.V. % 0.38 Predicted R-Squared 0.9783 PRESS 0.046 Adequate Precision 54.859
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