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 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.
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.
The correlation between gut microbes and epilepsy is a hot research topic. This review aims to summarize the effects of Ketogenic diet (KD) on gut microbes and the preclinical and clinical progress of the use of Fecal microbiota transplants (FMT) and Probiotics in the intervention of epilepsy to provide clinical reference. Gut microbes mediates the antiepileptic effect of KD. Many studies have found that bactericides decreased in epileptic patients, and KD can increase bactericides abundance, which may be one of its effective mechanisms. Both FMT and probiotics showed antiepileptic effects on epileptic model mice with different pathogenesis, suggesting that gut microbes is an important target for epilepsy treatment. Preliminary clinical studies of small samples suggest that the use of probiotics can effectively treat refractory epilepsy and autoimmune-associated epilepsy, and can improve comorbidities. No serious and long-term side effects of probiotics have been found in epileptic patients. In the future, more high-quality studies are needed to further clarify its efficacy and mechanisms, which could lead to new strategies for epilepsy treatment and refresh our understanding of the causes of epilepsy.
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.
Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). ConclusionThe study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.
There is increasing evidence that microorganisms play a complex and important role in human health and disease, and that the in vivo microbiome can directly or indirectly affect the host’s immune system, endocrine system, and nervous system. Therefore, a relatively stable equilibrium between the host and the microbiome is crucial in human health. However, in the special pathophysiological state of the perioperative period, preoperative anxiety and sleep deprivation, anesthesia intervention and surgical injury, postoperative medication and complications may all have different effects on the microbial composition of various organs in the body, resulting in pathogenic microorganisms, and the balance between beneficial microorganisms is altered. This may affect patient the outcomes and prognosis in a direct or indirect manner. This paper will provide a systematic review of key studies to understand the impact of perioperative stress on the commensal microbiome, provide a fresh perspective on optimizing perioperative management strategies, and discuss possible potential interventions to restore microbiome-mediated steady state.
Gut microbiota and its metabolites in various human diseases have gradually become a research hotspot in the current medical community. And coronary artery disease is currently one of the most threatening clinical cardiovascular diseases in the world, so the use of gut microbiota and its metabolites in the development of its pathophysiology has also received more and more attention. Therefore, this paper reviews the effects of gut microbiota and its metabolites on coronary artery disease, as well as the research progress of intervening gut microbiota and its metabolites as therapeutic targets, hoping to expand the future research direction in this field and provide new ideas with treating coronary artery disease.
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.
The incidence and mortality of esophageal cancer are high, with strong invasiveness and poor prognosis. In China, the number of morbidity and death accounts for about half of the world. The cause of the disease has not yet been clarified, and it is known to be related to many factors such as chronic damage to the upper digestive tract caused by poor diet and lifestyle, heredity and environment. With the continuous advancement of molecular biology technology, metagenomics and high-throughput sequencing began to be used as non-culture methods instead of traditional culture methods for micro-ecological analysis, and is becoming a research hotspot. Many studies have shown that the disturbance of upper digestive tract microecology may be one of the causes of esophageal cancer, which affects the occurrence and development of esophageal cancer through complex interactions with the body and various mechanisms. This paper reviews the research progress, which is of great significance to further clarify the value of upper gastrointestinal microecology in the pathogenesis, diagnosis and treatment of esophageal cancer.