Gut microbiota plays an important role in development of diabetes with frailty. Therefore, it is of great significance to study the structural and functional characteristics of gut microbiota in Chinese with frailty. Totally 30 middle-aged and the aged participants in communities with diabetes were enrolled in this study, and their feces were collected. At the same time, we developed a metagenome analysis to explore the different of the structural and functional characteristics between diabetes with frailty and diabetes without frailty. The results showed the alpha diversity of intestinal microbiota in diabetes with frailty was lower. Collinsella and Butyricimonas were more abundant in diabetes with frailty. The functional characteristics showed that histidine metabolism, Epstein-Barr virus infection, sulfur metabolism, and biosynthesis of type Ⅱ polyketide products were upregulated in diabetes with frailty. Otherwise, butanoate metabolism and phenylalanine metabolism were down-regulated in diabetes with frailty. This research provides theoretical basic for exploring the mechanism of the gut microbiota on the occurrence and development of diabetes with frailty, and provides a basic for prevention and intervention of it.
ObjectiveTo review the association of gut microbiota and postoperative gastrointestinal dysfunction (GID) in patients after abdominal surgery and to provide a new idea for the pathogenesis, prevention, and treatment of postoperative GID in patients after abdominal surgery.MethodThe related and latest literatures were reviewed by searching the literatures on “intestinal flora” “gut microbiota” “intestinal microbial population” “brain-gut axis” “gastrointestinal function” “gastric paralysis” “intestinal paralysis” and “ileus” from January 1, 2000 to April 2, 2021 in Chinese and English databases.ResultsGut microbiota diversity was closely related to postoperative GID symptoms in patients after abdominal surgery. Gut microbiota regulated gastrointestinal motility and mucosal barrier function by metabolizing food to produce metabolites such as 5-hydroxytryptamine, melatonin, short-chain fatty acid, succinic acid, lactic acid, and so on.ConclusionsThe imbalance of gut microbiota is closely related to postoperative GID in patients after abdominal surgery. However, the relevant bacterial metabolites that have been found are limited at present, and the relevant mechanism needs to be further investigated.
There is a bidirectional association between tumor-associated macrophage (TAM) and colorectal cancer. Small molecular substances metabolized by colorectal cancer affect the reprogramming of TAM, and TAM in turn regulates the biological behavior of colorectal cancer cells by secreting small molecular substances, and promotes the progression of colorectal cancer. In addition, gut microbiota metabolites are closely related to TAM reprogramming, and intestinal flora imbalance leads to gut barrier damage, favoring bacterial translocation and causing chronic tumorigenic inflammation. Studying the reprogramming mechanism affecting TAM and its relationship with the occurrence and development of colorectal cancer may provide new ideas for the study of immunotherapy in patients with colorectal cancer. This article reviews the research progress of TAM in patients with colorectal cancer, aims to provide a reference for clinical research.
Objective To introduce the research progress on the relationship between gut microbiota dysbiosis and osteoarthritis (OA), focus on the possible mechanism of gut microbiota dysbiosis promoting OA, and propose a new therapeutic direction. Methods The domestic and foreign research literature on the relationship between gut microbiota dysbiosis and OA was reviewed. The role of the former in the occurrence and development of OA and the new ideas for the treatment of OA were summarized. Results The gut microbiota dysbiosis promotes the development of OA mainly in three aspects. First, the gut microbiota dysbiosis destroys intestinal permeability and causes low-grade inflammation, which aggravate OA. Secondly, the gut microbiota dysbiosis promotes the development of OA through metabolic syndrome. Thirdly, the gut microbiota dysbiosis is involved in the development of OA by regulating the metabolism and transport of trace elements. Studies have shown that improving gut microbiota dysbiosis by taking probiotics and transplanting fecal microbiota can reduce systemic inflammation and regulate metabolic balance, thus treating OA. Conclusion Gut microbiota dysbiosis is closely related to the development of OA, and improving gut microbiota dysbiosis can be an important idea for OA treatment.
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.
Including gut microbiota and oral microbiota, various microorganisms in different human ecosystem constitute the human microbiota, which play an important role in human metabolism, immunity and maintaining microecological homeostasis. Abnormal changes in gut microbiota known as dysbiosis may lead to metabolic abnormalities and inflammatory changes, which are closely related to disease states including hypertension, diabetes, inflammatory bowel disease, and autoimmune diseases. The main cause of coronary artery disease is coronary atherosclerosis, a chronic and progressive inflammatory disease. Many evidences have shown that there is a correlation between gut microbiota and coronary artery disease. Therefore, we aim to review the relationship between gut microbiota and coronary artery disease, and discuss the possible research directions and application prospects.
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.
Objective To analyze the causal relationship between gut microbiota and childhood asthma based on Mendelian randomization (MR). Methods The human gut microbiota dataset was downloaded from the MiBioGen database, and 196 known bacterial groups (9 phyla, 16 classes, 20 orders, 32 families, and 119 genera) were retained as exposure factors. Single nucleotide polymorphisms (SNPs) that were strongly correlated with exposure factors and independent of each other were selected as effective instrumental variables. A childhood asthma dataset with 3 025 patients and 135 449 controls was downloaded from the genome-wide association studies database as the outcome variable. Two-sample MR analysis was performed using inverse variance weighted, weighted median, MR-Egger, weighted model and simple model methods, respectively. The causal association between gut microbiota and childhood asthma was evaluated by odds ratio (OR). Sensitivity analysis was performed by leave-one-out method. Horizontal pleiotropy was tested by MR-Egger intercept test and MR-PRESSO global test, and Cochran’s Q test was used for heterogeneity. Results A total of 15 out of 196 gut microbiota groups were found to have a causal association (P<0.05) with the risk of childhood asthma, with a total of 181 SNPs included in the analysis. Inverse variance weighted analysis showed that Mollicutes [OR=1.42, 95% confidence interval (CI) (1.10, 1.83), P=0.007], Escherichia-Shigella [OR=1.39, 95%CI (1.02, 1.90), P=0.036], Oxalobacter [OR=1.30, 95%CI (1.10, 1.54), P=0.002], Ruminococcaceae UCG-009 [OR=1.34, 95%CI (1.09, 1.64), P=0.006] and Tenericutes [OR=1.42, 95%CI (1.10, 1.83), P=0.007] were significantly positively correlated with childhood asthma. Actinobacteria [OR=0.76, 95%CI (0.58, 0.99), P=0.042], Bifidobacteriaceae [OR=0.76, 95%CI (0.58, 0.98), P=0.035], Eubacterium nodatum group [OR=0.81, 95%CI (0.70, 0.94), P=0.007], Bifidobacterales [OR=0.76, 95%CI (0.58, 0.98), P=0.035] and Actinobacteria [OR=0.74, 95%CI (0.56, 0.99), P=0.040] were negatively correlated with childhood asthma. In addition, the results of leave-one-out sensitivity analysis were stable, MR-Egger intercept test and MR-PRESSO global test showed no horizontal pleiotropy, and Cochran’s Q test showed no heterogeneity. Conclusions There is a causal relationship between gut microbiota and childhood asthma. Mollicutes, Escherichia-Shigella, Oxalobacter, Ruminococcaceae UCG-009 and Tenericutes may increase the risk of childhood asthma. Actinobacteria, Bifidobacteriaceae, Eubacterium nodatum group, Bifidobacterales and Actinobacteria can reduce the risk of childhood asthma.