2.Correlation between gut microbiota and liver biochemical indicators in patients with chronic hepatitis B.
Zhifang ZHAO ; Song QIN ; Li WANG ; Lili LI ; Youde LIU ; Lixia DENG ; Zhiqiang ZOU
Chinese Journal of Biotechnology 2021;37(1):301-311
Chronic hepatitis B (CHB) is a global epidemic disease caused by hepatitis B virus that can lead to hepatic failure, even liver cirrhosis and hepatocellular carcinoma. The occurrence and development of CHB are closely related to the changes in the gut microbiota communities. To explore the relationship between the structure of gut microbiota and liver biochemical indicators, 14 CHB patients (the CHB group) and 11 healthy people (the CN group) were randomly enrolled in this study. Our results demonstrate that CHB caused changes in the gut microbiota communities and biochemical indicators, such as alanine transaminase, total bilirubin and gamma glutamyl transferase. Furthermore, CHB induced imbalance of the gut microbiota. Prevotella, Blautia, Ruminococcus, Eubacterium eligens group, Bacteroides uniformis and Ruminococcus sp. 5_1_39BFAA were associated with the critical biochemical indicators and liver injury, suggesting a new approach to CHB treatment.
Bacteroides
;
Eubacterium
;
Gastrointestinal Microbiome
;
Hepatitis B virus
;
Hepatitis B, Chronic
;
Humans
;
Liver Cirrhosis
;
Liver Neoplasms
3.Treatment of psoriasis vulgaris using Bacteroides fragilis BF839: a single-arm, open preliminary clinical study.
Chuhui LIN ; Ting ZENG ; Yuhong DENG ; Wenlin YANG ; Jinglin XIONG
Chinese Journal of Biotechnology 2021;37(11):3828-3835
Psoriasis is considered as an inflammatory disease driven by T cells, and its pathogenesis is closely related to the imbalance of intestinal bacteria flora. It has been reported that Bacteroides fragilis could play an anti-inflammatory role by regulating the expression of cytokines in T cells. To date, there is no report using B. fragilis to treat psoriasis. In this study, we explored the therapeutic effect of B. fragilis BF839 on psoriasis. We selected 27 psoriasis patients who were treated in the Second Affiliated Hospital of Guangzhou Medical University from April to October 2019. The patients were given B. fragilis BF839 orally for 12 weeks while maintaining the original treatment. The psoriasis area and severity index (PASI) score was evaluated before and after the treatment. The rate of drug withdrawal and reduction after 12 weeks of treatment were calculated. Our results showed that the rate of 12-week trial completion was 96.3% (26/27). We used PASIN to define the proportion of people whose PASI score decreased more than or equal to N% after treatment. At 12 weeks, PASI30, PASI50, and PASI75 were 65.4%, 42.3%, and 19.2%, respectively. The PASI score was 9.1±5.9 and 5.8±4.9 before and after 12 weeks of treatment respectively, and the difference was statistically significant (P<0.01). The effective rate of the visual analog scale (VAS) score was 42.3% at 12 weeks, and the VAS score was 2.9±2.2 and 2.3±2.1 before and after 12 weeks of treatment, respectively, which had no statistically significant difference (P>0.05). The adverse reaction rate of patients was 3.8% (1/26) within 12 weeks of treatment, including 1 case of constipation, and the rate of drug withdrawal and reduction was 60.0%. The above results suggest that B. fragilis BF839 may be functional on the treatment of psoriasis by reducing the PASI score and the drug usage rate with few side effect, which deserves further study.
Anti-Inflammatory Agents
;
Bacteroides fragilis
;
Cytokines
;
Humans
;
Psoriasis/drug therapy*
;
Severity of Illness Index
;
Treatment Outcome
4.Downregulation of IL-18 Expression in the Gut by Metformin-induced Gut Microbiota Modulation
Heetae LEE ; Jiyeon KIM ; Jinho AN ; Sungwon LEE ; Dohyun CHOI ; Hyunseok KONG ; Youngcheon SONG ; Il Ho PARK ; Chong Kil LEE ; Kyungjae KIM
Immune Network 2019;19(4):e28-
IL-18 is a crucial pro-inflammatory cytokine that mediates chronic intestinal inflammation. Metformin, an anti-diabetic drug, was reported to have ameliorative effects on inflammatory bowel disease. Recently, the mechanism of action of metformin was explained as a modulation of gut microbiota. In this study, fecal microbiota transplantation (FMT) using fecal material from metformin-treated mice was found to upregulate the expression of GLP-1 and pattern-recognition receptors TLR1 and TLR4 for the improvement in hyperglycemia caused by a high-fat diet. Further, FMT downregulated the expression of the inflammatory cytokine IL-18. Within the genera Akkermansia, Bacteroides, and Butyricimonas, which were promoted by metformin therapy, Butyricimonas was found to be consistently abundant following FMT. Our findings suggest that modulation of gut microbiota is a key factor for the anti-inflammatory effects of metformin which is used for the treatment of hyperglycemia.
Animals
;
Bacteroides
;
Diet, High-Fat
;
Down-Regulation
;
Fecal Microbiota Transplantation
;
Gastrointestinal Microbiome
;
Glucagon-Like Peptide 1
;
Hyperglycemia
;
Inflammation
;
Inflammatory Bowel Diseases
;
Interleukin-18
;
Metformin
;
Mice
;
Toll-Like Receptors
5.Sex-related Alterations of Gut Microbiota in the C57BL/6 Mouse Model of Inflammatory Bowel Disease
Hee Jin SON ; Nayoung KIM ; Chin Hee SONG ; Ryoung Hee NAM ; Soo In CHOI ; Joo Sung KIM ; Dong Ho LEE
Journal of Cancer Prevention 2019;24(3):173-182
BACKGROUND: Gut microbiota is closely associated with development and exacerbation of inflammatory bowel diseases (IBD). The aim of this study was to investigate differences in gut microbiota depending on sex and changes of gut microbiota during IBD developments. METHODS: 16s rRNA metagenomic sequencing was performed for fecal materials from 8-week-old wild type (WT) and interleukin 10 (IL-10) knockout (KO) C57BL/6 mice of both sexes. Diversity indices, relative abundance of microbiota, and linear discriminant analysis effect size were examined to compare microbial communities between groups. Clustering of groups was performed by principal coordinates analysis (PCoA) and unweighted pair group method with arithmetic mean (UPGMA). Functional capabilities of microbiota were estimated using phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) based on Kyoto Encyclopedia of Genes and Genomes database. RESULTS: PCoA and UPGMA tree analysis of beta-diversity demonstrated significant differences in gut microbiota between male and female groups of WT mice, but not of IL-10 KO mice. Firmicutes to Bacteroides ratio was higher in male group than that in female group in both WT mice and IL-10 KO mice. Phylum Proteobacteria significantly increased in female IL-10 KO mice than that in female WT mice. At species level, Lactobacillus murinus, Bacteroides acidifaciens, and Helicobacter hepaticus significantly increased in IL-10 KO mice than in WT mice. The relative abundance of beta-glucuronidase (K01195) was higher in female IL-10 KO mice than that in female WT mice by PICRUSt. CONCLUSIONS: Our results suggest that microbiota-host interactions might differ between sexes during development of IBD.
Animals
;
Bacteroides
;
Female
;
Firmicutes
;
Gastrointestinal Microbiome
;
Genome
;
Glucuronidase
;
Helicobacter hepaticus
;
Humans
;
Inflammatory Bowel Diseases
;
Interleukin-10
;
Lactobacillus
;
Male
;
Metagenomics
;
Methods
;
Mice
;
Microbiota
;
Proteobacteria
;
Sequence Analysis
;
Sex Characteristics
;
Trees
6.Changes in Oral Microbiota in Patients Receiving Radical Concurrent Chemoradiotherapy for The Head and Neck Squamous Cell Carcinoma
Jin Ho KIM ; Yoon Hee CHOI ; Soo Youn AN ; Hee Young SON ; Chulwon CHOI ; Seyeon KIM ; Jin CHUNG ; Hee Sam NA
International Journal of Oral Biology 2018;43(1):13-21
Radiotherapy (RT) is a mainstay in the treatment of head and neck squamous cell carcinoma (HNSCC). For locally advanced HCSCC, concurrent chemoradiotherapy (CCRT) benefits HCSCC patients in terms of better survival and loco-regional control. In this study, we evaluated changes in oral microbiota in patients, who received CCRT for head and neck cancer. Oral rinsed samples were weekly collected before and during CCRT and at 4 weeks following treatment from HNSCC patients, who had received 70 Gy of radiation delivered to the primary sites for over 7 weeks and concurrent chemotherapy. Oral microbiota changes in three patients were analyzed by next-generation sequencing using 16S rRNA 454 pyrosequencing. On an average, 15,000 partial 16S rRNA gene sequences were obtained from each sample. All sequences fell into 11 different bacterial phyla. During early CCRT, the microbial diversity gradually decreased. In a patient, who did not receive any antibiotics during the CCRT, Firmicutes and Proteobacteria were the most abundant phylum. During the early CCRT, proteobacteria gradually decreased while Firmicutes increased. During the late CCRT, firmicutes gradually decreased while Bacteroides and Fusobacteria increased. In all the patients, yellow complex showed a gradual decrease, while orange and red complex showed a gradual increase during the CCRT. At 4 weeks after CCRT, the recovery of oral microbiota diversity was limited. During CCRT, there was a gradual increase in major periodontopathogens in association with the deterioration of the oral hygiene. Henceforth, it is proposed that understanding oral microbiota shift should provide better information for the development of effective oral care programs for patients receiving CCRT for HNSCC.
Anti-Bacterial Agents
;
Bacteroides
;
Carcinoma, Squamous Cell
;
Chemoradiotherapy
;
Citrus sinensis
;
Drug Therapy
;
Epithelial Cells
;
Firmicutes
;
Fusobacteria
;
Genes, rRNA
;
Head and Neck Neoplasms
;
Head
;
Humans
;
Microbiota
;
Neck
;
Oral Hygiene
;
Proteobacteria
;
Radiotherapy
7.Characterization of the fecal microbiota differs between age groups in Koreans.
Sun Young KOOK ; Yunjeong KIM ; Ben KANG ; Yon Ho CHOE ; Young Ho KIM ; Seokjin KIM
Intestinal Research 2018;16(2):246-254
BACKGROUND/AIMS: Tens of trillions of microorganisms constitute the gut microbiota of the human body. The microbiota plays a critical role in maintaining host immunity and metabolism. Analyses of the gut microbial composition in Korea are limited to a few studies consisting of small sample sizes. To investigate the gut microbial community in a large sample of healthy Koreans, we analyzed the 16S ribosomal RNA of 4 representative bacterial genera Lactobacillus, Bifidobacterium, Bacteroides, and Clostridium. METHODS: A total of 378 DNA samples extracted from 164 infants and 214 adults were analyzed using quantitative real-time polymerase chain reaction. RESULTS: Analysis of 16S ribosomal RNA of 4 representative bacterial genera Lactobacillus, Bifidobacterium, Bacteroides, and Clostridium showed that the gut microbiota in infants had higher relative abundances of Bifidobacterium and Lactobacillus than that in adults, which was dominated by Bacteroides and Clostridium. CONCLUSIONS: To the best of our knowledge, this was the first study evaluating the distinct characteristics of the microbial community of Korean infants and adults. The differences between the 2 populations suggest that external factors such as age, diet, and the environment are important contributing factors to the change in gut microbial composition during development.
Adult
;
Bacteroides
;
Bifidobacterium
;
Clostridium
;
Diet
;
DNA
;
Gastrointestinal Microbiome
;
Human Body
;
Humans
;
Infant
;
Korea
;
Lactobacillus
;
Metabolism
;
Microbiota*
;
Real-Time Polymerase Chain Reaction
;
RNA, Ribosomal, 16S
;
Sample Size
;
Transcutaneous Electric Nerve Stimulation
8.Impact of microbiota in colorectal carcinogenesis: lessons from experimental models.
Linda Chia Hui YU ; Shu Chen WEI ; Yen Hsuan NI
Intestinal Research 2018;16(3):346-357
A role of gut microbiota in colorectal cancer (CRC) growth was first suggested in germ-free rats almost 50 years ago, and the existence of disease-associated bacteria (termed pathobionts) had becoming increasingly evident from experimental data of fecal transplantation, and microbial gavage or monoassociation. Altered bacterial compositions in fecal and mucosal specimens were observed in CRC patients compared to healthy subjects. Microbial fluctuations were found at various cancer stages; an increase of bacterial diversity was noted in the adenoma specimens, while a reduction of bacterial richness was documented in CRC samples. The bacterial species enriched in the human cancerous tissues included Escherichia coli, Fusobacterium nucleatum, and enterotoxigenic Bacteroides fragilis. The causal relationship of gut bacteria in tumorigenesis was established by introducing particular bacterial strains in in situ mouse CRC models. Detailed experimental protocols of bacterial gavage and the advantages and caveats of different experimental models are summarized in this review. The microbial genotoxins, enterotoxins, and virulence factors implicated in the mechanisms of bacteria-driven tumorigenesis are described. In conclusion, intestinal microbiota is involved in colon tumorigenesis. Bacteria-targeting intervention would be the next challenge for CRC.
Adenoma
;
Animals
;
Bacteria
;
Bacteroides fragilis
;
Carcinogenesis*
;
Colon
;
Colorectal Neoplasms
;
Enterotoxins
;
Escherichia coli
;
Fecal Microbiota Transplantation
;
Fusobacterium nucleatum
;
Gastrointestinal Microbiome
;
Healthy Volunteers
;
Humans
;
Mice
;
Microbiota*
;
Models, Theoretical*
;
Mutagens
;
Rats
;
Virulence
;
Virulence Factors
9.Intestinal microbiota, chronic inflammation, and colorectal cancer.
Chan Hyuk PARK ; Chang Soo EUN ; Dong Soo HAN
Intestinal Research 2018;16(3):338-345
In addition to genetic and epigenetic factors, various environmental factors, including diet, play important roles in the development of colorectal cancer (CRC). Recently, there is increasing interest in the intestinal microbiota as an environmental risk factor for CRC, because diet also influences the composition of the intestinal microbiota. The human intestinal microbiota comprises about 100 trillion microbes. This microbiome thrives on undigested dietary residues in the intestinal lumen and produces various metabolites. It is well known that the dietary risk factors for CRC are mediated by dysbiosis of the intestinal microbiota and their metabolites. In this review, we describe the bacterial taxa associated with CRC, including Fusobacterium nucleatum, enterotoxigenic Bacteroides fragilis, Escherichia coli, and butyrate-producing bacteria. We also discuss the host-diet interaction in colorectal carcinogenesis.
Bacteria
;
Bacteroides fragilis
;
Carcinogenesis
;
Colorectal Neoplasms*
;
Diet
;
Dysbiosis
;
Epigenomics
;
Escherichia coli
;
Fusobacterium nucleatum
;
Gastrointestinal Microbiome*
;
Humans
;
Inflammation*
;
Microbiota
;
Risk Factors
10.Effects of various prophylactic procedures on titanium surfaces and biofilm formation
Anna DI SALLE ; Gianrico SPAGNUOLO ; Raffaele CONTE ; Alfredo PROCINO ; Gianfranco PELUSO ; Carlo RENGO
Journal of Periodontal & Implant Science 2018;48(6):373-382
PURPOSE: The aim of this study was to evaluate the effects of various prophylactic treatments of titanium implants on bacterial biofilm formation, correlating surface modifications with the biofilms produced by Pseudomonas aeruginosa PAO1, Staphylococcus aureus, and bacteria isolated from saliva. METHODS: Pure titanium disks were treated with various prophylactic procedures, and atomic force microscopy (AFM) was used to determine the degree to which surface roughness was modified. To evaluate antibiofilm activity, we used P. aeruginosa PAO1, S. aureus, and saliva-isolated Streptococcus spp., Bacteroides fragilis, and Staphylococcus epidermidis. RESULTS: AFM showed that the surface roughness increased after using the air-polishing device and ultrasonic scaler, while a significant reduction was observed after using a curette or polishing with Detartrine ZTM (DZ) abrasive paste. In addition, we only observed a significant (P < 0.01) reduction in biofilm formation on the DZ-treated implant surfaces. CONCLUSION: In this study, both AFM and antibiofilm analyses indicated that using DZ abrasive paste could be considered as the prophylactic procedure of choice for managing peri-implant lesions and for therapy-resistant cases of periodontitis.
Bacteria
;
Bacteroides fragilis
;
Biofilms
;
Microscopy, Atomic Force
;
Periodontitis
;
Pseudomonas aeruginosa
;
Saliva
;
Staphylococcus aureus
;
Staphylococcus epidermidis
;
Streptococcus
;
Titanium
;
Ultrasonics

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