ObjectiveTo establisht a gut microbiota mice model for chronic obstructive pulmonary disease (COPD) with fecal microbiota transplantation (FMT) and its evaluation.MethodsThe mice received FMT from healthy individuals, COPD Ⅰ-Ⅱ subjects, or COPD Ⅲ–Ⅳ subjects. After microbiota depletion, the FMT was performed by a single oral administration of 100 μL per mouse every other day, for a total of 14 times in 28 days. On the 29th day, the peripheral blood mononuclear cells were analyzed, the gut microbiota of mice before and after FMT was analyzed by 16S rRNA sequencing, and the mice model were evaluated.ResultsThe operational taxonomic units, Chao 1 and Shannon indexes of mice all decreased significantly after antibiotic treatment (P<0.001), but increased significantly after FMT from healthy individuals, COPD Ⅰ-Ⅱ subjects, or COPD Ⅲ–Ⅳ subjects (P<0.05 or P<0.01). The abundance of Firmicutes, Proteobacteria and Actinobacteria in the guts of the mice in the healthy human FMT group, COPD Ⅰ-Ⅱ FMT group and COPD Ⅲ-Ⅳ FMT group were significantly different from those of the control group who only received phosphate buffer saline instead of FMT (P<0.05 or P<0.01). The auxiliary T lymphocytes and cytotoxic T lymphocytes were higher, but B lymphocytes decreased in the peripheral blood of the mice in the COPD Ⅰ-Ⅱ FMT group and COPD Ⅲ-Ⅳ FMT group (P<0.05 or P<0.01).ConclusionFMT can successfully establish a COPD gut microbiota research model.
The concept of “Microbe-gut-eye axis” holds that metabolites of the gut microbiota are involved in the pathogenesis of various eye diseases. The composition and diversity of gut microbiota in diabetic retinopathy (DR) patients are significantly different from those in non-DR patients. Metabolites of the gut microbiota such as lipopolysaccharide, short-chain fatty acid, bile acids and branched-chain amino acid aggravate or attenuate the progression of DR by regulating the release of inflammatory cytokines, mitochondrial function, insulin sensitivity, immune response, and autophagy of retinal cells. Therefore, gut microbiota and their metabolites play a role in the occurrence and development of DR through multiple pathways. The participation of gut microbiota may open up a new way to prevent and treat DR in the future.
Objective
To overview the systematic review(SR) of efficacy and safety of fecal microbiota transplantation (FMT) in clostridium difficile infection (CDI).
Methods
PubMed, The Cochrane Library, EMbase, CNKI, VIP, WanFang Data databases and related website (http://scholar.google.com/) were electronically searched to collect SR and meta-analysis on FMT of CDI. The quality of collected documents and evidences were evaluated by OQAQ (Overview Quality Assessment Questionnaire) and GRADE (Grading of Recommendations Assessment, Development and Evaluation), respectively.
Results
Eleven SRs were included, in which 4 were completed by meta-analysis. The results of OQAQ showed that the score of one review was 2, the others SR received scores from 5 to 9. There were 9 SRs had reported the CDI clinical resolution rate (CRR), of which one SR showed CRR was 36.2%, and the others showed CRR were about 90%. Compared to upper gastrointestinal FMT, all studies showed lower gastrointestinal FMT (colonoscopy, enemas, etc.) had a higher CRR. The outcomes of selection and random fecal donor had no significant differences, and authors suggested that there should be made a standardization of donor screening table for safe fecal. Present evidence showed FMT were safety, and the majority of adverse events of FMT appeared to be mild, self-limiting and gastrointestinal in nature. The GRADE quality level of SR indicated from very low to moderate.
Conclusion
FMT, as a treatment for CDI, shows significant efficacy and safety, but need more high-level evidences because of its clinical translation difficulties. The study also give a reference to develop standardized clinical pathways of FMT to policy researchers.
In recent years, the diversity of gut microbiota and the role of its metabolites in cardiovascular disease (CVD) have attracted widespread attention. Gut microbiota metabolites not only play an important role in maintaining gut health, but may also influence cardiovascular health through a variety of mechanisms. As one of the important products of gut microbiota metabolism, sulfate’s biosynthetic pathway, metabolic dynamics and potential effects on cardiovascular system have become the focus of research. However, the current research on the relationship between sulfate and cardiovascular disease still has some shortcomings, including the mechanism is not clear, and clinical data are limited. This article reviewed the biosynthesis of sulfate and its mechanism of action in cardiovascular diseases, and combined with the existing clinical research results, aimed to provide new perspectives and ideas for future research, in order to promote the in-depth exploration and development of this field.
Objective To analyze the causal relationship between gut microbiota and tic disorder based on Mendelian randomization (MR). Methods A total of 196 known microbiota (9 phyla, 16 classes, 20 orders, 32 families, and 119 genera) in the human intestinal microbiota dataset downloaded from the MiBioGen database were selected as the exposure factors, and the dataset of tic disorder (finn-b-KRA_PSY_TIC) containing 172 patients and 218620 controls was downloaded from the genome-wide association study database as the outcome variable. Inverse variance weighted was used as the main analysis method, and the causal relationship between gut microbiota and tic disorder was evaluated using odds ratio (OR) and its 95% confidence interval (CI). Horizontal pleiotropy was tested by MR-Egger intercept and MR-PRESSO global test, heterogeneity was assessed by Cochran’s Q test, and sensitivity analysis was performed by leave-one-out method. Results Inverse variance weighted results showed that the Family Rhodospirillaceae [OR=0.398, 95%CI (0.191, 0.831), P=0.014], Order Rhodospirillales [OR=0.349, 95%CI (0.164, 0.743), P=0.006], and Parasutterella [OR=0.392, 95%CI (0.171, 0.898), P=0.027] had negative causal relationships with tic disorder. The Genus Lachnospira [OR=8.784, 95%CI (1.160, 66.496), P=0.035] and Candidatus Soleaferrea [OR=2.572, 95%CI (1.161, 5.695), P=0.020] had positive causal relationships with tic disorder. In addition, MR-Egger intercept and MR-PRESSO global test showed no horizontal pleiotropy, Cochran’s Q test showed no heterogeneity, and leave-one-out sensitivity analysis showed the results were stable. Conclusions A causal relationship exists between gut microbiota and tic disorder. The Family Rhodospirillaceae, Order Rhodospirillales, and Parasutterella are associated with a decreased risk of tic disorder, while the Genus Lachnospira and Candidatus Soleaverea can increase the risk of tic disorder.
Objective To assess any potential associations between lung cancer and gut microbiota. Methods Mendelian randomization (MR) analysis was carried out by utilizing summary data from genome-wide association studies (GWAS) of the gut microbiota and lung cancer. The gut microbiota served as an exposure. Instrumental ariables (IVs) were identified from the GWAS of 18340 participants. The GWAS study of lung cancer from Europe served as an outcome, including 29 266 lung cancer patients and 56450 controls. We used the inverse-variance weighted (IVW) method as the primary analysis. Sensitivity analysis was used to test the reliability of MR analysis results. Results IVW results showed that Genus Parabacteroides (OR=1.258, 95%CI 1.034 to 1.531, P=0.022) and Phylum Bacteroidetes (OR=1.192, 95%CI 1.001 to 1.419, P=0.048) had a positive causal association with lung cancer, and there was a negative causal association between family Bifidobacteriaceae (OR=0.845, 95%CI 0.721 to 0.989, P=0.037) and order Bifidobacteriales (OR=0.865, 95%CI 0.721 to 0.989, P=0.037) with lung cancer. Sensitivity analysis showed no evidence of reverse causality, pleiotropy, and heterogeneity. Conclusion This study demonstrates that Genus Parabacteroides and Phylum Bacteroidetes are related to an increased risk of lung cancer, family Bifidobacteriaceae and order Bifidobacteriales can reduce the risk of lung cancer. Our thorough investigations provide evidence in favor of a potential causal relationship between a number of gut microbiota-taxa and lung cancer. To demonstrate how gut microbiota influences the development of lung cancer, further research is necessary.
ObjectiveTo explore the composition of intestinal microbiota between patients with fixed airflow obstruction asthma, reversible airflow obstruction asthma, and healthy control, and analyze the correlation between key differential bacterial distribution and clinical characteristics. MethodsFifteen patients with fixed airflow obstruction asthma (FAO) and 13 patients with reversible airflow obstruction asthma (RAO) were included, along with 11 matched healthy control subjects. Clinical data were collected, and lung function tests and induced sputum examination were performed. Blood and stool samples were tested to compare the gut microbiota status among the groups, and analyze the relationship between gut microbiota abundance and patients' blood routine, IgE levels, lung function, and induced sputum. Results The dominant bacterial compositions were similar in the three groups, but there were differences in the abundance of some species. Compared to the RAO group, the FAO group showed a significant increase in the genera of Bacteroides and Escherichia coli, while Pseudomonas was significantly decreased. The phylum Firmicutes was negatively correlated with the course of asthma, while the phylum Bacteroidetes and genus Bacteroides were positively correlated with the asthma course. Bacteroidetes was negatively correlated with Pre-BD FEV1/FVC, Pseudomonas was positively correlated with Pre-BD FEV1, Escherichia coli was negatively correlated with Post-BD FEV1/FVC, and Bacteroides was negatively correlated with Post-BD MMEF. The class Actinobacteria and the order Actinomycetales were negatively correlated with peripheral blood EOS%, while the order Enterobacteriales and the family Enterobacteriaceae were positively correlated with peripheral blood IgE levels. Furthermore, Actinobacteria and Actinomycetales were negatively correlated with induced sputum EOS%. Conclusions There are differences in the gut microbiota among patients with fixed airflow obstruction asthma, reversible airflow obstruction asthma, and healthy individuals. Bacteroides and Escherichia coli are enriched in the fixed airflow obstruction asthma group, while the Firmicutes are increased in the reversible airflow obstruction asthma group. These three microbiota may act together on Th2 cell-mediated inflammatory responses, influencing the process of airway remodeling, and thereby interfering with the occurrence of fixed airflow obstruction in asthma.
Objective To review the changes of gut microbiota after bariatric surgery and the related mechanisms of improving metabolism. Method Domestic and international literatures in recent ten years on the changes of gut microbiota in bariatric surgery and the mechanisms of improving metabolism were collated and summarized. Result The common bariatric procedures performed to date were vertical sleeve gastrectomy (VSG) and laparoscopic Roux-en-Y gastric bypass (RYGB). The changes of gut microbiota vary in different surgical procedures, which were related to the changes of diet habits, gastrointestinal anatomy, gastrointestinal hormone levels and metabolic complications. The gut microbiota might improve the body metabolism by regulating the levels of short chain fatty acids, branched chain amino acids and bacterial endotoxin in the intestinal lumen. Conclusions Significant changes are found in gut microbiota after bariatric surgery, which may be involved in the improvement of body metabolism by regulating the level of bacterial endotoxin and microbial metabolite. However, more in-depth mechanisms need to be further clarified.
Objective To explore the causal relationship between gut microbiota and urinary tract infections (UTI) using data from genome-wide association studies. Methods The gut microbiota data were sourced from the MiBioGen consortium, comprising genetic variables from 18 340 individuals. UTI data (ieu-b-5.65) were derived from the UK Biobank. Six methods including inverse variance weighted (IVW), Mendelian randomization (MR)-Egger, maximum likelihood, simple mode, weighted mode, and weighted median were employed for two-sample MR analysis on these datasets. Additionally, MR-PRESSO was used to detect and correct for heterogeneity and outliers in the analysis. Cochran’s Q test and leave-one-out analysis were applied to assess potential heterogeneity and multiple effects. Furthermore, reverse MR analysis was conducted to investigate causal relationships between UTI and gut microbiota. Results According to IVW method analysis results, bacterial genera Eggerthella (OR=1.08, 95%CI 1.01 to 1.16, P=0.034) and Ruminococcaceae (UCG005) (OR=1.10, 95%CI 1.01 to 1.20, P=0.022) were found to increase the risk of UTI, while Defluviitaleaceae (UCG011) (OR=0.90, 95%CI 0.82 to 0.99, P=0.022) appeared to decrease it. Reverse MR analysis did not reveal a significant effect of UTI on these three bacterial genera. Our study found no evidence of heterogeneity or pleiotropy based on the results of Cochran’s Q test, MR-Egger, and MR-PRESSO global test. Conclusion In this MR study, we demonstrate a causal association between Eggerthella, Ruminococcaceae, Defluvitalaceae and the risk of urinary tract infections.
ObjectiveTo summarise the influencing factors of gut microbiota in the perioperative period and its regulatory mechanism in postoperative pain, with the aim of providing clinical reference for postoperative pain management. MethodRelevant literatures on gut microbiota and postoperative pain in recent years were systematically reviewed and synthesised. ResultsAnaesthesia, preoperative mechanical bowel preparation, surgical stress, etc. could cause gut microbiota dysbiosis. Gut microbiota directly or indirectly modulated the excitability of primary sensory neurons through their derived metabolites and pathogen-associated molecular patterns and influenced the pain signalling process by activating immune cells to release cytokines. ConclusionsGut microbiota play an important role in the development and progression of postoperative pain. Future studies should further clarify its role in different types of postoperative pain and develop innovative therapeutic strategies based on the regulation of gut microbiota to improve the management of postoperative pain.
