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Research article
Fermented Milk Containing Lacticaseibacillus rhamnosus SNU50430 Modulates Immune Responses and Gut Microbiota in Antibiotic-Treated Mice
1Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea
2N-Bio, Seoul National University, Seoul 08826, Republic of Korea
3KoBioLabs, Inc., Seoul 08826, Republic of Korea
4weBiom Inc., Seoul 08826, Republic of Korea
5R&BD Center, hy Co., Ltd., Yongin 17086, Republic of Korea
6Institute of Health and Environment, Seoul National University, Seoul 08826, Republic of Korea
J. Microbiol. Biotechnol. 2024; 34(6): 1299-1306
Published June 28, 2024 https://doi.org/10.4014/jmb.2401.01012
Copyright © The Korean Society for Microbiology and Biotechnology.
Abstract
Keywords
Graphical Abstract
Introduction
Antibiotics are used to control infectious diseases, but can disrupt the commensal microbiota, particularly in the intestinal tract. Antibiotics can also cause inflammatory diseases such as asthma, celiac disease, inflammatory bowel disease (IBD), and obesity [1-3] and alteration of the gut microbiota by antibiotics is positively correlated with an enhanced inflammatory response [4]. Due to the lack of effective methods to control side effects of antibiotics, various alternatives, such as antimicrobial peptides, antimicrobial enzymes, and phytochemicals have been suggested [5-7]. However, the problem of side effects of antibiotics remains to be solved.
Growing interest in the health benefits of fermented foods has resulted in increased consumption of fermented milk [8]. Probiotic strains such as
Metabolites from the gut microbiota can affect host physiology [15]. Short-chain fatty acids (SCFAs) including acetate, propionate, and butyrate, which are anaerobically fermented by-products of indigestible polysaccharides via the gut microbiota and probiotics, provide energy to gut epithelial cells and maintain intestinal mucosa [16, 17]. SCFAs control inflammation-related diseases including IBD and allergic asthma [18, 19]. The administration of
Therefore, in this study, we investigated effects of the fermented milk containing
Materials and Methods
Preparation of Fermented Milk Containing L. rhamnosus SNUG50430
Fermented milk containing lactic acid bacteria FD-DV8 ST-Body-1 (Chr. Hansen Holding A/S., Denmark), as the fermentation starter, was prepared in R&BD Center, hy Co., Ltd. (Republic of Korea). Subsequently, 1 × 106 colony-forming units (CFUs)/ml of
In Vivo Animal Model with Antibiotic Treatment
The animal model is illustrated in Fig. 1. All experiments including the collection of feces and clinical information were performed in accordance with the relevant guidelines and regulations of the institutional review board of Seoul National University, Republic of Korea (IRB no. 1602/001-001). All animal experimental procedures were approved by the Institutional Animal Care and Use Committee (IACUC: SNU-180104-2-3) of Seoul National University, Republic of Korea. Six week-old female BALB/c mice (Orient Bio Inc., Republic of Korea) were divided into groups of five mice per each experimental condition. Three experimental groups, including the phosphate buffered saline (PBS)-antibiotics (PBS+Abx)-treated, the fermented milk without
-
Fig. 1. The experimental scheme of this study.
A mixture of antibiotics, containing ampicillin, metronidazole, neomycin and vancomycin, was treated to 6 week-old female BALB/c mice via drinking water for 1 week. Then, 200 μl of fermented milk contained 2 × 105 CFUs of
L. rhamnosus SNUG50430 was administered to mice once daily by oral gavage for 1 week. Colon samples were homogenized and the supernatant was collected after centrifugation at 15,000 ×g for 10 min at 4°C. Cytokine levels in the supernatant were measured. The PBS-antibiotics (PBS+Abx)-treated, the fermented milk withoutL. rhamnosus SNUG50430-antibiotics (FM+Abx)–treated, and the fermented milk withL. rhamnosus SNUG50430-antibiotics (FM+LR+Abx) group, were designed as each experimental group. Water-treated group was used as a negative control.
Measurement of Cytokines in Colon and Serum Samples
Colon samples were weighed and homogenized in 1× RIPA buffer (Thermo Fisher Scientific, USA) with a Halt Protease Inhibitor Cocktail (Thermo Fisher Scientific) for 5 min using a MM 400 Mixer Mill homogenizer (Retsch, GmbH., Germany), as described previously [22]. The supernatant was collected after centrifugation at 4°C for 10 min at 15,000 ×
Analysis of Fecal Microbiota
DNA from fecal samples was extracted using a QIAamp DNA Stool Mini Kit following the manufacturer’s instructions. (Qiagen, Germany). The V4 region of the 16S rRNA genes was amplified using the universal primers 515F/806R as described previously with some modification [23]. The Polymerase chain reaction (PCR) amplicons were purified using a QIAquick PCR Purification Kit (Qiagen) and quantified using a Quant-iT PicoGreen dsDNA Assay Kit (Thermo Fisher Scientific) following the manufacturer’s instructions. The pooled amplicons were sequenced using a MiSeq platform (Illumina, Inc., USA) as described previously [24]. Sequences for 16S rRNA genes were analyzed using the Quantitative Insights into Microbial Ecology 1.8.0 software (QIIME Development Team; http://qiime.org/) and Greengenes version 13_5 data base (http://greengenes.secondgenome.com)[22]. Sequences were clustered to operational taxonomic units (OTUs) using the OTU picking protocol with at least 97% nucleotide identity. The relative abundances of microbial taxa were calculated using a non-rarefied OTU table. Alpha diversities were described as the Observed species and Sharnon indices and Beta diversities were described as the non-metric multi-dimensional scaling (NMDS) plot, calculated using the Bray-Curtis distance [25]. Phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analyses were performed using Galaxy ver. 2.1.1 (Hutlab; http://huttenhower.org/galaxy) and the Kyoto Encyclopedia of Genes and Genomes pathway database (GenomeNet; https://www.genome.jp/kegg/pathway.html) [22, 26].
Quantification of SCFAs in Cecum Samples
SCFAs in cecum samples were quantified as described previously with some modification [27]. First, colon samples were homogenized with distilled water and centrifuged for 5 min at 13,000 ×
Statistical Analysis
Data are expressed as means ± standard error of the mean of three independent experiments. When appropriate, data were analyzed using the Mann-Whitney
Results
Effects of Fermented Milk Containing L. rhamnosus SNU50430 on Cytokine Levels in Colon and Serum Samples
Fig. 2 shows effects of fermented milk containing
-
Fig. 2. Effects of fermented milk containing
L. rhamnosus SNUG50430 on cytokine levels in colon samples of antibiotic-treated mice. (A) Interferon gamma (IFN-γ), (B) Interleukin (IL)-2, (C) IL-5, (D) IL-10, (E) Tumor necrosis factor alpha (TNF-α). Data are expressed as the mean ± standard error of the mean (SEM) of three independent experiments. Asterisks indicate a statistically significant difference [*P < 0.05; **P < 0.01; Kruskal-Wallis one-way analysis of variance (ANOVA) with the Dunn’spost hoc test].
Mice with antibiotic treatment exhibited an increase in IFN-γ and TNF-α levels in serum compared to water-treated mice (Fig. 3). However, fermented milk containing
-
Fig. 3. Effects of fermented milk containing
L. rhamnosus SNUG50430 on cytokine levels in serum samples of antibiotic-treated mice. (A) IFN-γ, (B) TNF-α. Cytokine levels in the serum collected from mice were measured. Data are expressed as the mean ± SEM of three independent experiments. Asterisks indicate a statistically significant difference (**P < 0.01; Kruskal-Wallis one-way ANOVA with the Dunn’spost hoc test).
Effects of Fermented Milk Containing L. rhamnosus SNU50430 on Alteration of Fecal Microbiota
Fig. 4 summarizes the effects of fermented milk on the fecal microbiota of antibiotic-treated mice. Compared to water-treated mice, bacterial diversities for PBS+Abx-treated mice were significantly decreased (
-
Fig. 4. Effects of fermented milk containing
L. rhamnosus SNUG50430 on fecal microbiota in antibiotictreated mice. (A) Observed species and (B) Shannon indices of each experimental group for Alpha-diversity, (C) Non-metric multi-dimensional scaling (NMDS) plot with Bray-Curtis distances for experimental groups, (D) Comparisons of microbial taxa of experimental group at phylum level. Data are expressed as the mean ± SEM of three independent experiments. Asterisks indicate a statistically significant difference [**P < 0.01; Kruskal-Wallis one-way ANOVA with the Dunn’spost hoc test].
The relative abundance of genus
-
Fig. 5. Relative abundances in microbial genera among experimental groups.
(A) Genus
Coprococcus , (B) GenusDehalobacterium , (C) GenusDorea , (D) GenusLactobacillus , (E) GenusRuminococcus , (F) GenusKlebsiella , (G) GenusProteus . Data are expressed as the mean ± SEM. Asterisks indicate a statistically significant difference (*P < 0.05; **P < 0.01; Kruskal-Wallis one-way ANOVA with the Dunn’spost hoc test).
Correlations between Relative Abundances of Microbial Taxa and Cytokine Levels in Mice
Fig. 6 shows correlations between relative abundances of microbial taxa and cytokine levels in antibiotic-treated mice. In colon samples, relative abundance of genus
-
Fig. 6. Spearman's correlations between relative abundances of microbial genera and cytokine levels in mice.
(A) Colon samples, (B) Serum samples. Colors indicate the degrees of correlation. Asterisks indicate statistical significance (*
P < 0.05; ***P < 0.001).
Relative abundances of genus
Effects of SCFA Concentrations and Butyrate Metabolism in Mice
Fig. 7 exhibits alterations of SCFA concentrations in cecum samples on mice with antibiotic treatment. PBS+Abx-treated mice showed the lowest concentration of acetate and butyrate (Fig. 7A and 7B). Fermented milk showed increases in SCFA concentrations of FM+LR+Abx-treated or FM+Abx-treated mice (Fig. 7A and 7B). Fecal microbiota of FM+LR+Abx-treated mice were highly enriched with butyrate metabolism pathway compared to water-treated mice (
-
Fig. 7. Alterations in short-chain fatty acid (SCFA) concentrations and butyrate metabolism according to the phylogenetic investigation of communities by reconstruction of unobserved state (PICRUSt) analysis in antibiotic-treated mice fed fermented milk containing
L. rhamnosus SNUG50430. (A) Acetate concentration, (B) Butyrate concentration, (C) PICRUSt analysis for butyrate metabolism. SCFAs in samples were measured using an Agilent 7890A gas chromatograph. Data are expressed as the mean ± SEM. Asterisks indicate a statistically significant difference (*P < 0.05; **P < 0.01; Kruskal-Wallis one-way ANOVA with the Dunn’spost hoc test for SCFA concentrations in experimental groups and Mann-Whitney U test for PICRUSt analysis).
Discussion
In this study, we evaluated health effects of fermented milk containing
Compared to the PBS+Abx-treated mice, fecal microbiota of FM+LR+Abx-treated mice showed upward tendencies in restoration of bacterial diversities (Fig. 4A and 4B) and clustered distinctively among the other groups (Fig. 4C). Gut microbiota dysbiosis is one of the major side-effects of antibiotic treatment, which can affect adverse physiological activities of host [35, 36]. Probiotics in fermented milk can restore bacterial diversities and enrich beneficial microorganisms in gut [37, 38]. Positive effects of
The relative abundance of genus
Our results confirmed that fermented milk containing
Conclusion
Acknowledgments
This research was supported by the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry, and Fisheries (IPET) through a High Value-added Food Technology Development Program funded by Ministry of Agriculture, Food, and Rural Affairs (MAFRA) (315067-3), the Bio & Medical Technology Development Program the National Research Foundation of Korea (NRF) funded by the Korean government (MSIT) (NRF-2022M3A9F3017371), and the Basic Science Research Program through the NRF funded by the Ministry of Education (NRF-2021R1I1A1A01048923).
Conflict of Interest
G.K. is the founder of KoBioLabs, Inc., and S.P. is an employee by KoBioLabs, Inc and weBiom Inc. S.E.J. and I.C. are employees by hy Co., Ltd. Remaining authors, S.Y., C.L., and W.-K.K., have no financial conflicts of interest to declare.
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Related articles in JMB
Article
Research article
J. Microbiol. Biotechnol. 2024; 34(6): 1299-1306
Published online June 28, 2024 https://doi.org/10.4014/jmb.2401.01012
Copyright © The Korean Society for Microbiology and Biotechnology.
Fermented Milk Containing Lacticaseibacillus rhamnosus SNU50430 Modulates Immune Responses and Gut Microbiota in Antibiotic-Treated Mice
Sunghyun Yoon1, SungJun Park2,3,4*, Seong Eun Jung5, Cheonghoon Lee1,6, Woon-Ki Kim1,6, Il-Dong Choi5 and GwangPyo Ko1,2,3,6*
1Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea
2N-Bio, Seoul National University, Seoul 08826, Republic of Korea
3KoBioLabs, Inc., Seoul 08826, Republic of Korea
4weBiom Inc., Seoul 08826, Republic of Korea
5R&BD Center, hy Co., Ltd., Yongin 17086, Republic of Korea
6Institute of Health and Environment, Seoul National University, Seoul 08826, Republic of Korea
Correspondence to:SungJun Park, haha7007@snu.ac.kr
GwangPyo Ko, gko@snu.ac.kr
Abstract
Antibiotics are used to control infectious diseases. However, adverse effects of antibiotics, such as devastation of the gut microbiota and enhancement of the inflammatory response, have been reported. Health benefits of fermented milk are established and can be enhanced by the addition of probiotic strains. In this study, we evaluated effects of fermented milk containing Lacticaseibacillus rhamnosus (L. rhamnosus) SNUG50430 in a mouse model with antibiotic treatment. Fermented milk containing 2 × 105 colony-forming units of L. rhamnosus SNUG50430 was administered to six week-old female BALB/c mice for 1 week. Interleukin (IL)-10 levels in colon samples were significantly increased (P < 0.05) compared to water-treated mice, whereas interferon-gamma (IFN-γ) and tumor necrosis factor alpha (TNF-α) were decreased, of mice treated with fermented milk containing L. rhamnosus SNUG50430-antibiotics-treated (FM+LR+Abx-treated) mice. Phylum Firmicutes composition in the gut was restored and the relative abundances of several bacteria, including the genera Coprococcus and Lactobacillus, were increased in FM+LR+Abx-treated mice compared to PBS+Abx-treated mice. Interestingly, abundances of genus Coprococcus and Lactobacillus were positively correlated with IL-5 and IL-10 levels (P < 0.05) in colon samples and negative correlated with IFN-γ and TNF-α levels in serum samples (P < 0.001). Acetate and butyrate were increased in mice with fermented milk and fecal microbiota of FM+LR+Abx-treated mice were highly enriched with butyrate metabolism pathway compared to water-treated mice (P < 0.05). Thus, fermented milk containing L. rhamnosus SNUG50430 was shown to ameliorate adverse health effects caused by antibiotics through modulating immune responses and the gut microbiota.
Keywords: Antibiotic, fermented milk, gut microbiota, immunomodulation, Lacticaseibacillus rhamnosus, probiotic
Introduction
Antibiotics are used to control infectious diseases, but can disrupt the commensal microbiota, particularly in the intestinal tract. Antibiotics can also cause inflammatory diseases such as asthma, celiac disease, inflammatory bowel disease (IBD), and obesity [1-3] and alteration of the gut microbiota by antibiotics is positively correlated with an enhanced inflammatory response [4]. Due to the lack of effective methods to control side effects of antibiotics, various alternatives, such as antimicrobial peptides, antimicrobial enzymes, and phytochemicals have been suggested [5-7]. However, the problem of side effects of antibiotics remains to be solved.
Growing interest in the health benefits of fermented foods has resulted in increased consumption of fermented milk [8]. Probiotic strains such as
Metabolites from the gut microbiota can affect host physiology [15]. Short-chain fatty acids (SCFAs) including acetate, propionate, and butyrate, which are anaerobically fermented by-products of indigestible polysaccharides via the gut microbiota and probiotics, provide energy to gut epithelial cells and maintain intestinal mucosa [16, 17]. SCFAs control inflammation-related diseases including IBD and allergic asthma [18, 19]. The administration of
Therefore, in this study, we investigated effects of the fermented milk containing
Materials and Methods
Preparation of Fermented Milk Containing L. rhamnosus SNUG50430
Fermented milk containing lactic acid bacteria FD-DV8 ST-Body-1 (Chr. Hansen Holding A/S., Denmark), as the fermentation starter, was prepared in R&BD Center, hy Co., Ltd. (Republic of Korea). Subsequently, 1 × 106 colony-forming units (CFUs)/ml of
In Vivo Animal Model with Antibiotic Treatment
The animal model is illustrated in Fig. 1. All experiments including the collection of feces and clinical information were performed in accordance with the relevant guidelines and regulations of the institutional review board of Seoul National University, Republic of Korea (IRB no. 1602/001-001). All animal experimental procedures were approved by the Institutional Animal Care and Use Committee (IACUC: SNU-180104-2-3) of Seoul National University, Republic of Korea. Six week-old female BALB/c mice (Orient Bio Inc., Republic of Korea) were divided into groups of five mice per each experimental condition. Three experimental groups, including the phosphate buffered saline (PBS)-antibiotics (PBS+Abx)-treated, the fermented milk without
-
Figure 1. The experimental scheme of this study.
A mixture of antibiotics, containing ampicillin, metronidazole, neomycin and vancomycin, was treated to 6 week-old female BALB/c mice via drinking water for 1 week. Then, 200 μl of fermented milk contained 2 × 105 CFUs of
L. rhamnosus SNUG50430 was administered to mice once daily by oral gavage for 1 week. Colon samples were homogenized and the supernatant was collected after centrifugation at 15,000 ×g for 10 min at 4°C. Cytokine levels in the supernatant were measured. The PBS-antibiotics (PBS+Abx)-treated, the fermented milk withoutL. rhamnosus SNUG50430-antibiotics (FM+Abx)–treated, and the fermented milk withL. rhamnosus SNUG50430-antibiotics (FM+LR+Abx) group, were designed as each experimental group. Water-treated group was used as a negative control.
Measurement of Cytokines in Colon and Serum Samples
Colon samples were weighed and homogenized in 1× RIPA buffer (Thermo Fisher Scientific, USA) with a Halt Protease Inhibitor Cocktail (Thermo Fisher Scientific) for 5 min using a MM 400 Mixer Mill homogenizer (Retsch, GmbH., Germany), as described previously [22]. The supernatant was collected after centrifugation at 4°C for 10 min at 15,000 ×
Analysis of Fecal Microbiota
DNA from fecal samples was extracted using a QIAamp DNA Stool Mini Kit following the manufacturer’s instructions. (Qiagen, Germany). The V4 region of the 16S rRNA genes was amplified using the universal primers 515F/806R as described previously with some modification [23]. The Polymerase chain reaction (PCR) amplicons were purified using a QIAquick PCR Purification Kit (Qiagen) and quantified using a Quant-iT PicoGreen dsDNA Assay Kit (Thermo Fisher Scientific) following the manufacturer’s instructions. The pooled amplicons were sequenced using a MiSeq platform (Illumina, Inc., USA) as described previously [24]. Sequences for 16S rRNA genes were analyzed using the Quantitative Insights into Microbial Ecology 1.8.0 software (QIIME Development Team; http://qiime.org/) and Greengenes version 13_5 data base (http://greengenes.secondgenome.com)[22]. Sequences were clustered to operational taxonomic units (OTUs) using the OTU picking protocol with at least 97% nucleotide identity. The relative abundances of microbial taxa were calculated using a non-rarefied OTU table. Alpha diversities were described as the Observed species and Sharnon indices and Beta diversities were described as the non-metric multi-dimensional scaling (NMDS) plot, calculated using the Bray-Curtis distance [25]. Phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analyses were performed using Galaxy ver. 2.1.1 (Hutlab; http://huttenhower.org/galaxy) and the Kyoto Encyclopedia of Genes and Genomes pathway database (GenomeNet; https://www.genome.jp/kegg/pathway.html) [22, 26].
Quantification of SCFAs in Cecum Samples
SCFAs in cecum samples were quantified as described previously with some modification [27]. First, colon samples were homogenized with distilled water and centrifuged for 5 min at 13,000 ×
Statistical Analysis
Data are expressed as means ± standard error of the mean of three independent experiments. When appropriate, data were analyzed using the Mann-Whitney
Results
Effects of Fermented Milk Containing L. rhamnosus SNU50430 on Cytokine Levels in Colon and Serum Samples
Fig. 2 shows effects of fermented milk containing
-
Figure 2. Effects of fermented milk containing
L. rhamnosus SNUG50430 on cytokine levels in colon samples of antibiotic-treated mice. (A) Interferon gamma (IFN-γ), (B) Interleukin (IL)-2, (C) IL-5, (D) IL-10, (E) Tumor necrosis factor alpha (TNF-α). Data are expressed as the mean ± standard error of the mean (SEM) of three independent experiments. Asterisks indicate a statistically significant difference [*P < 0.05; **P < 0.01; Kruskal-Wallis one-way analysis of variance (ANOVA) with the Dunn’spost hoc test].
Mice with antibiotic treatment exhibited an increase in IFN-γ and TNF-α levels in serum compared to water-treated mice (Fig. 3). However, fermented milk containing
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Figure 3. Effects of fermented milk containing
L. rhamnosus SNUG50430 on cytokine levels in serum samples of antibiotic-treated mice. (A) IFN-γ, (B) TNF-α. Cytokine levels in the serum collected from mice were measured. Data are expressed as the mean ± SEM of three independent experiments. Asterisks indicate a statistically significant difference (**P < 0.01; Kruskal-Wallis one-way ANOVA with the Dunn’spost hoc test).
Effects of Fermented Milk Containing L. rhamnosus SNU50430 on Alteration of Fecal Microbiota
Fig. 4 summarizes the effects of fermented milk on the fecal microbiota of antibiotic-treated mice. Compared to water-treated mice, bacterial diversities for PBS+Abx-treated mice were significantly decreased (
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Figure 4. Effects of fermented milk containing
L. rhamnosus SNUG50430 on fecal microbiota in antibiotictreated mice. (A) Observed species and (B) Shannon indices of each experimental group for Alpha-diversity, (C) Non-metric multi-dimensional scaling (NMDS) plot with Bray-Curtis distances for experimental groups, (D) Comparisons of microbial taxa of experimental group at phylum level. Data are expressed as the mean ± SEM of three independent experiments. Asterisks indicate a statistically significant difference [**P < 0.01; Kruskal-Wallis one-way ANOVA with the Dunn’spost hoc test].
The relative abundance of genus
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Figure 5. Relative abundances in microbial genera among experimental groups.
(A) Genus
Coprococcus , (B) GenusDehalobacterium , (C) GenusDorea , (D) GenusLactobacillus , (E) GenusRuminococcus , (F) GenusKlebsiella , (G) GenusProteus . Data are expressed as the mean ± SEM. Asterisks indicate a statistically significant difference (*P < 0.05; **P < 0.01; Kruskal-Wallis one-way ANOVA with the Dunn’spost hoc test).
Correlations between Relative Abundances of Microbial Taxa and Cytokine Levels in Mice
Fig. 6 shows correlations between relative abundances of microbial taxa and cytokine levels in antibiotic-treated mice. In colon samples, relative abundance of genus
-
Figure 6. Spearman's correlations between relative abundances of microbial genera and cytokine levels in mice.
(A) Colon samples, (B) Serum samples. Colors indicate the degrees of correlation. Asterisks indicate statistical significance (*
P < 0.05; ***P < 0.001).
Relative abundances of genus
Effects of SCFA Concentrations and Butyrate Metabolism in Mice
Fig. 7 exhibits alterations of SCFA concentrations in cecum samples on mice with antibiotic treatment. PBS+Abx-treated mice showed the lowest concentration of acetate and butyrate (Fig. 7A and 7B). Fermented milk showed increases in SCFA concentrations of FM+LR+Abx-treated or FM+Abx-treated mice (Fig. 7A and 7B). Fecal microbiota of FM+LR+Abx-treated mice were highly enriched with butyrate metabolism pathway compared to water-treated mice (
-
Figure 7. Alterations in short-chain fatty acid (SCFA) concentrations and butyrate metabolism according to the phylogenetic investigation of communities by reconstruction of unobserved state (PICRUSt) analysis in antibiotic-treated mice fed fermented milk containing
L. rhamnosus SNUG50430. (A) Acetate concentration, (B) Butyrate concentration, (C) PICRUSt analysis for butyrate metabolism. SCFAs in samples were measured using an Agilent 7890A gas chromatograph. Data are expressed as the mean ± SEM. Asterisks indicate a statistically significant difference (*P < 0.05; **P < 0.01; Kruskal-Wallis one-way ANOVA with the Dunn’spost hoc test for SCFA concentrations in experimental groups and Mann-Whitney U test for PICRUSt analysis).
Discussion
In this study, we evaluated health effects of fermented milk containing
Compared to the PBS+Abx-treated mice, fecal microbiota of FM+LR+Abx-treated mice showed upward tendencies in restoration of bacterial diversities (Fig. 4A and 4B) and clustered distinctively among the other groups (Fig. 4C). Gut microbiota dysbiosis is one of the major side-effects of antibiotic treatment, which can affect adverse physiological activities of host [35, 36]. Probiotics in fermented milk can restore bacterial diversities and enrich beneficial microorganisms in gut [37, 38]. Positive effects of
The relative abundance of genus
Our results confirmed that fermented milk containing
Conclusion
Acknowledgments
This research was supported by the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry, and Fisheries (IPET) through a High Value-added Food Technology Development Program funded by Ministry of Agriculture, Food, and Rural Affairs (MAFRA) (315067-3), the Bio & Medical Technology Development Program the National Research Foundation of Korea (NRF) funded by the Korean government (MSIT) (NRF-2022M3A9F3017371), and the Basic Science Research Program through the NRF funded by the Ministry of Education (NRF-2021R1I1A1A01048923).
Conflict of Interest
G.K. is the founder of KoBioLabs, Inc., and S.P. is an employee by KoBioLabs, Inc and weBiom Inc. S.E.J. and I.C. are employees by hy Co., Ltd. Remaining authors, S.Y., C.L., and W.-K.K., have no financial conflicts of interest to declare.
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