The impact of probiotic Clostridium butyricum MIYAIRI 588 on murine gut metabolic alterations.

INTRODUCTION: Clostridium butyricum MIYAIRI 588 (CBM 588) is a probiotic bacterium used in antidiarrheal medicine in Japan. A few studies analyzed the changes in gut microbiome in patients treated with antimicrobials based on metagenomics sequencing. However, the impact of CBM 588 on gut metabolic alterations has not been fully elucidated. This study was to reveal the impact of CBM 588 on gut metabolic alterations. MATERIAL AND METHODS: In this in vivo study, mice were divided into four groups and CBM 588, clindamycin (CLDM), and normal saline (control) was orally administered (1. CLDM, 2. CBM 588, 3. CBM 588 + CLDM, 4. water) for 4 days. Fecal samples were collected to extract DNA for metagenomics analysis. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was used to obtain relative Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway abundance information derived from metagenomics data. RESULTS: CLDM treatment resulted in a dramatic increase in Firmicutes phylum compared to non-CLDM-treated groups (control and CBM 588-treated group). Then, the CBM 588 + CLDM-treated group showed a trend similar in many metabolic pathways to the CLDM-treated group. On the other hand, the CBM 588 + CLDM-treated group showed higher relative abundance compared to the CLDM-treated group especially in starch and sucrose metabolism. DISCUSSION: We concluded that CBM 588 caused a gut microbiome functional shift toward increased carbohydrate metabolism. These results support the hypothesis that CBM 588 treatment modulates gut microbiome under dysbiosis conditions due to antimicrobials.

Analysis of the colonic mucosa associated microbiota (MAM) using brushing samples during colonic endoscopic procedures.

The mucosa-associated microbiota is an important component in human microbiota. The aim was to investigate mucosa-associated microbiota using brush samples during endoscopic procedures and compare with fecal microbiota. Seven patients who were planning to undergo a routine colonoscopy were recruited. Mucosal brushing samples were taken from 3 sites (terminal ileum, ascending and sigmoid colon), and a fecal sample was taken on the morning of colonoscopy. The samples were immediately placed in microcentrifuge tubes containing DNA stabilization reagent and analyzed using the next generation sequencer. The individual differences in microbiota were more evident than the differences of the sampling sites. Actinobacteria was more abundant and Bacteroidetes was less in the brush samples than those in the fecal samples. Taxonomic composition at the genus level and the proportion of genes responsible for some functions in the brushing samples tended to be different from those in the fecal samples. Bulleidia and Oribacteriumi were significantly more abundant and the proportions of genes responsible for transcription factors and phosphotransferase system were higher in ileal mucous than those in fecal samples. Brushing during colonoscopic procedure instead of using feces samples might be useful to analyze mucosa-associated microbiota.

Oral microbiome alterations of healthy volunteers with proton pump inhibitor.

BACKGROUND AND AIM: Acid suppressive agents including proton pump inhibitors (PPIs) are used as first-line treatment for various acid-related gastrointestinal disorders. Although known to profoundly reduce gastric acid production, their influence on inhibition of acid secretion as part of the function of the gastrointestinal tract microbiome remains to be elucidated. The aim of the present study was to examine the effects of PPI usage on oral and gut microbiota in healthy volunteers. METHODS: Ten healthy adult volunteers receiving no medications were enrolled. We obtained fecal, saliva, and periodontal pocket fluid samples from the subjects before and after 4 weeks of once daily administrations of 20-mg esomeprazole. The effects of PPI administration on bacterial communities were investigated using a 16S rRNA gene sequencing method. RESULTS: Species richness (alpha diversity) was significantly different among the salivary, periodontal pocket, and fecal samples. Furthermore, the measurements for UniFrac distances, despite inter-individual variations (beta diversity), of the microbiota structure of saliva and periodontal pocket and feces samples were clearly separated from each other. The salivary samples showed significant differences between alpha and beta diversity measurements before and after administration of the PPI for 4 weeks. Meanwhile, taxon-based analysis indicated that PPI administration raised the ratio of Streptococcus organisms in fecal samples, suggesting a potentially unfavorable effect leading to gut microbiota alteration. Moreover, alterations of the microbiota in the oral carriage microbiome along with bacterial overgrowth (Streptococcus) and decreases in distinct bacterial species (Neisseria and Veillonella) were observed. CONCLUSIONS: These results suggest that PPIs cause both oral and gut microbiota alterations.

The impact of Clostridium butyricum MIYAIRI 588 on the murine gut microbiome and colonic tissue.

BACKGROUND: Clostridium butyricum MIYAIRI 588 (CBM 588) is a probiotic bacterium that is used as an anti-diarrheal medicine in Japan. However, the impact of this probiotic on the gut microbiome has not been fully elucidated, especially, when used with antimicrobials. MATERIAL AND METHODS: In an in vivo study, CBM 588 monotherapy, clindamycin monotherapy, CBM 588 and clindamycin (combination therapy), or normal saline (control) was orally administered to mice for 4 days, and fecal samples were collected for 18 days to enumerate C. butyricum. We also extracted DNA from these fecal samples for metagenomics analysis by amplification of the V3-V4 region of the bacterial 16S rRNA gene and MiSeq Illumina sequencing. In addition, the concentrations of some short chain fatty acids were assessed in the fecal samples. A histological analysis was also conducted. RESULTS: On day 4 (the last treatment day), there was no difference in the total counts of C. butyricum between the CBM 588 monotherapy and combination therapy groups (5.21 ±â€¯0.78 vs. 5.13 ±â€¯0.45 log10 cfu/g, p = 0.86). Clindamycin treatment resulted in dramatic increases in the phylum Firmicutes, especially Enterobacteriaceae, Clostridiaceae, Lactobacillus, and Enterococcus, compared with the other groups during the treatment period. CBM 588 treatment modified the bacterial community composition at lower phylogenetic levels. Some bacterial taxa, such as Bifidobacterium, Coprococcus, and Bacteroides, were significantly increased in the combination therapy group when compared with the other groups. In the metabolic analysis, CBM 588 enhanced lactic acid production. It also enhanced the efficiency of lactic acid use for the production of butyric acid. Only the clindamycin monotherapy group showed abnormal colon tissue, with superficial epithelial necrosis and the presence of inflammatory cells. CONCLUSION: CBM 588 treatment modulated the gut microbiota composition under dysbiosis due to the use of an antimicrobial with strong activity against anaerobes and significantly reduced epithelial damage.

Diversity changes of microbial communities into hospital surface environments.

Previous works have demonstrated considerable variability in hospital cleanliness in Japan, suggesting that contamination is driven by factors that are currently poorly controlled. We undertook 16S rRNA sequence analysis to study population structures of hospital environmental microbiomes to see which factor(s) impacted contamination. One hundred forty-four samples were collected from surfaces of three hospitals with distinct sizes ("A": >500 beds, "B": 100-500 beds, "C": <100 beds). Sample locations of two ward types (Surgical and Internal) included patient room bed table (multiple) (4BT), patient overbed table (multiple) (4OT), patient room sink (multiple) (4S), patient room bed table (single) (SBT), patient overbed table (single) (SOT), patient room sink (single) (SS), nurse desk (ND), and nurse wagon (NW). Total DNA was extracted from each sample, and the 50 samples that yielded sufficient DNA were used for further 16S rRNA sequencing of hospital microbiome populations with cluster analysis. The number of assigned bacterial OTU populations was significantly decreased in hospital "C" compared to the other hospitals. Cluster analysis of sampling locations revealed that the population structure in almost all locations of hospital "C" and some locations in the other hospitals was very similar and unusually skewed with a family, Enterobacteriaceae. Interestingly, locations included patient area (4OT, 4BT, SBT) and nurse area (ND), with a device (NW) bridging the two and a place (4S and SS) shared between patients or visitors. We demonstrated diversity changes of hospital environmental microbiomes with a skewed population, presumably by medical staff pushing NWs or sinks shared by patients or visitors.

Clostridium butyricum enhances colonization resistance against Clostridioides difficile by metabolic and immune modulation.

Clostridioides difficile infection (CDI) represents the leading cause of nosocomial diarrhea worldwide and is associated with gut dysbiosis and intestinal damage. Clostridium butyricum MIYAIRI 588 (CBM 588) contributes significantly to reduce epithelial damage. However, the impacts of CBM 588 on antibacterial therapy for CDI are not clear. Here we show that CBM 588 enhanced the antibacterial activity of fidaxomicin against C. difficile and negatively modulated gut succinate levels to prevent C. difficile proliferation and downregulate tumor necrosis factor-α (TNF-α) producing macrophages in the colon lumina propria (cLP), resulting in a significant decrease in colon epithelial damage. Additionally, CBM 588 upregulated T cell-dependent pathogen specific immunoglobulin A (IgA) via interleukin (IL)-17A producing CD4+ cells and plasma B cells in the cLP, and Th17 cells in the cLP enhanced the gut epithelial barrier function. IL-17A and succinic acid modulations with CBM 588 enhance gut colonization resistance to C. difficile and protect the colon tissue from CDI.

Increase in muscle mass associated with the prebiotic effects of 1-kestose in super-elderly patients with sarcopenia.

Sarcopenia causes functional disorders and decreases the quality of life. Thus, it has attracted substantial attention in the aging modern world. Dysbiosis of the intestinal microbiota is associated with sarcopenia; however, it remains unclear whether prebiotics change the microbiota composition and result in the subsequent recovery of muscle atrophy in elderly patients with sarcopenia. This study aimed to assess the effects of prebiotics in super-elderly patients with sarcopenia. We analyzed the effects of 1-kestose on the changes in the intestinal microbiota and body composition using a next-generation sequencer and a multi-frequency bioimpedance analysis device. The Bifidobacterium longum population was significantly increased in the intestine after 1-kestose administration. In addition, in all six patients after 12 weeks of 1-kestose administration, the skeletal muscle mass index was greater, and the body fat percentage was lower. This is the first study to show that administration of a prebiotic increased the population of B. longum in the intestinal microbiota and caused recovery of muscle atrophy in super-elderly patients with sarcopenia.

Clostridium butyricum Modulates the Microbiome to Protect Intestinal Barrier Function in Mice with Antibiotic-Induced Dysbiosis.

Clostridium butyricum MIYAIRI 588 (CBM 588) is a probiotic bacterium that has previously been used to prevent antibiotic-associated diarrhea. However, the underlying mechanism by which CBM 588 protects the gut epithelial barrier remains unclear. Here, we show that CBM 588 increased the abundance of Bifidobacterium, Lactobacillus, and Lactococcus species in the gut microbiome and also enhanced the intestinal barrier function of mice with antibiotic-induced dysbiosis. Additionally, CBM 588 significantly promoted the expansion of IL-17A-producing γδT cells and IL-17A-producing CD4 cells in the colonic lamina propria (cLP), which was closely associated with changes in the intestinal microbial composition. Additionally, CBM 588 plays an important role in controlling antibiotic-induced gut inflammation through upregulation of anti-inflammatory lipid metabolites such as palmitoleic acid, 15d-prostaglandin J2, and protectin D1. This study reveals a previously unrecognized mechanism of CBM 588 and provides new insights into gut epithelial barrier protection with probiotics under conditions of antibiotic-induced dysbiosis.

Effects of Dietary Supplementation With Enterococcus faecium and Clostridium butyricum, Either Alone or in Combination, on Growth and Fecal Microbiota Composition of Post-weaning Pigs at a Commercial Farm.

Lactic acid bacteria (LAB) and butyric acid bacteria (BAB) are commonly used as probiotics in swine production. However, their combined effect on post-weaning pigs has not been assessed. Therefore, here we investigated the individual and combined efficacy of dietary Enterococcus faecium and Clostridium butyricum on the growth and gut microbiota of post-weaning pigs at a commercial farm. Four independent trials were conducted, in each of which five pens containing 10 pigs were assigned to one of five treatments: C, basal diet; L, basal diet + live E. faecium; D, basal diet + heat-killed E. faecium; M, basal diet + C. butyricum; or L+M, basal diet + live E. faecium + C. butyricum. Each trial was conducted over a 90-day period that was divided into two phases (Phase 1, days 0-40 post-weaning; and Phase 2, days 40-90 post-weaning), with the probiotics being supplemented only during Phase 1. Ten pigs in each pen were used for body weight (BW) analysis and fecal samples were collected from five or six of these pigs. In addition, the fecal samples from one randomly selected trial were used for gut microbiota analysis. We found that pigs in the L, D, and L+M treatment groups had a significantly higher BW than those in C (p < 0.05) but pigs in the L+M treatment group had a similar BW to those in the L and M groups. Furthermore, there were no significant differences in alpha diversity among the treatments but the beta diversity (weighted UniFrac distances) showed distinct clustering patterns, with pigs in C having discrete microbiota from those in all of the probiotics treatment groups except D (C vs. L, q = 0.04; C vs. M, q = 0.06; C vs. L+M, q = 0.06). These findings indicate that dietary supplementation with live or heat-killed E. faecium enhances growth performance in pigs but there is no synergistic effect when E. faecium is used in combination with C. butyricum. Furthermore, the addition of live E. faecium and C. butyricum to the diet of pigs may change the structure of the gut microbiota.

Genomic analysis of Shiga toxin-producing Escherichia coli from patients and asymptomatic food handlers in Japan.

Shiga toxin-producing Escherichia coli (STEC) can cause severe gastrointestinal disease and colonization among food handlers. In Japan, STEC infection is a notifiable disease, and food handlers are required to undergo routine stool examination for STEC. However, the molecular epidemiology of STEC is not entirely known. We investigated the genomic characteristics of STEC from patients and asymptomatic food handlers in Miyagi Prefecture, Japan. Whole-genome sequencing (WGS) was performed on 65 STEC isolates obtained from 38 patients and 27 food handlers by public health surveillance in Miyagi Prefecture between April 2016 and March 2017. Isolates of O157:H7 ST11 and O26:H11 ST21 were predominant (n = 19, 29%, respectively). Non-O157 isolates accounted for 69% (n = 45) of all isolates. Among 48 isolates with serotypes found in the patients (serotype O157:H7 and 5 non-O157 serotypes, O26:H11, O103:H2, O103:H8, O121:H19 and O145:H28), adhesion genes eae, tir, and espB, and type III secretion system genes espA, espJ, nleA, nleB, and nleC were detected in 41 to 47 isolates (85-98%), whereas isolates with other serotypes found only in food handlers were negative for all of these genes. Non-O157 isolates were especially prevalent among patients younger than 5 years old. Shiga-toxin gene stx1a, adhesion gene efa1, secretion system genes espF and cif, and fimbrial gene lpfA were significantly more frequent among non-O157 isolates from patients than among O157 isolates from patients. The most prevalent resistance genes among our STEC isolates were aminoglycoside resistance genes, followed by sulfamethoxazole/trimethoprim resistance genes. WGS revealed that 20 isolates were divided into 9 indistinguishable core genomes (<5 SNPs), demonstrating clonal expansion of these STEC strains in our region, including an O26:H11 strain with stx1a+stx2a. Non-O157 STEC with multiple virulence genes were prevalent among both patients and food handlers in our region of Japan, highlighting the importance of monitoring the genomic characteristics of STEC.