Study on the structure of intestinal bacteria in gage patients.

is mainly due to metabolic disorders of radon and spontaneous inflammation caused by chronic elevation of uric acid in the blood (high uric acidemia). In today's society, people's intake of high-protein foods is increasing, which also leads to a significant increase in the risk of high uric acid disease, and even the development of gyro. There is evidence that there is a difference between the intestinal bacteria in gage patients and the intestinal bacteria in healthy people, so this trial is a step closer to exploring the specific structure of intestinal bacteria in gage patients.test designselected a total of 83 volunteers to participate in the experiment, divided into three groups. The first group was gyration group: 35 patients with severe gyration, the second group was healthy (control) group: 33 healthy people, and the third group was validation group: 6 patients with mild gly cold and 9 healthy people. The diet and basic conditions of all subjects were recorded (Table 1), blood and stool samples from volunteers were collected, and micro-biodiversity and functional genomes of stool samples were analyzed using a combination of joumphosphate and Hyseq 2500 sequencing techniques.Table 1: Basic Details of Eligible Subjects
Test Results 1. Blood Indicators and Changes in Intestinal Bacillus in Gluemon Patients Through sequencing analysis of 16S rRNA genes, an average of 202 OTUs were identified per bacteriobi. Significant differences in age, sex or BMI were not found between the glucon and health groups, but in a series of blood indicators, significant differences were found in levels such as uric acid values, total bilirubin glutamate-acetone transaminase (GPT), glutamate oxalide transaminase (GOT) and urea nitrogen (P.001; Figure 1A).To detect differences in the microbial structure of the gut bacteria, a weighted UniFrac distance primary coordinate analysis (PCoA) based on genus level 16S rRNA found a significant reduction in the alpha diversity of the gut bacteria in the gland group compared to the healthy group (P 0.01). In addition, the tissue structure of the gut bacteria in the gingwind group and the healthy group was also highly different, forming two clusters, corresponding to the two groups (Figure 1B), and significantly separated.Figure 1: Three groups of volunteers with uric acid levels and main coordinate analysis details 2. Microbial indicators of gout Explore gout-related microorganisms and predict microbial genes from genome-wide sequencing data based on genomic data into several categories, each known as macrogenome species (MGS). A total of 41 MGS species were identified in the sample, and 22 were found in healthy individuals, such as Platts, Clostridium difficile and fake Bifidobacteria MGS. On the other hand, there are 19 MGS-rich patients with gypsum, including Bacteroides caccae and Bacteroides xylanisolvens (Figure 2).Also based on 16S rRNA pyrophosphate sequencing, it was found that there was a certain correlation between gout group and health group bacterial distribution, a total of 17 genus associated with gout disease, of which Bacillus, Holdemania, Anaerotruncus and other gout positive correlation, and Faecalibacterium, Coprococcus, Ruminococcus and other biological characteristics of gout, consistent with MGS analysis.
2: Intestinal bacteragial group taxonomic characteristics: A for gyrobe patients, B for healthy individuals. Based on these 17 differential genus as biomarkers to assess gyro, and derived from the "Gingwind Microbiological Index" (Mig), the heat map showing that these biomarkers can distinguish between healthy individuals and gyro-patients (Figure 3A). At the same time, there is a significant difference between Mig in the ginglycation group and the health group (Figure 3B), and the Mig model is evaluated in the ROC curve, with a threshold of -2.157 for the Youden index and Mig, which may increase the risk of ginglycation, indicating that Mig can be used to distinguish ginglycation individuals with high precision.In order to verify the performance of the microbial model, 15 subjects in the validation group were tested, and the blood uric acid value of the 15 subjects was higher than that of the control group, but lower than that of patients with severe glycation, but blood indicators were not the only criteria for diagnosis of gyration, and after 6 months of back-to-back consultations, it was confirmed that 6 of them were glycation patients and 9 were healthy individuals. Analysis of their intestinal bacteria showed that the accuracy of diagnosis based on Mig's predictive model was 88.9% (Figure 3C) in the validation group, higher than that of diagnostic criteria based on blood uric acid (71.3%, Figure 3D).. Figure 3: Details of gyration-related microbial indicators 3. Analysis of gyro-related metabolic pathwaysAnalysis of related functional metabolic pathways in gyration patients shows that there are 5245 KO and 2286 COGs and gyro Correlation, glutamate-related KOs are mapped to the reference metabolic pathways, glutamate patients are rich in radon, starch, sucrose, lipids, alanine, tyrosine, glutamate, retinol and other related metabolic pathways. In the metabolic pathway, radon can be degraded to uric acid, while the urea production of urea urea enzyme content is significantly reduced in healthy people, can not be further degraded to urea, resulting in abnormal accumulation of urea levels in gallbladder patients and thus the formation of gypsum.trial conclusion While there are abnormal blood indicators in gage patients, there are significant differences between intestinal bacteria and healthy individuals, and the intestinal microbiobiosis of gingwind patients is significantly lower than that of healthy individuals. Gypsy patients lack tender Clostridium difficile and Clostridium difficile, but are rich in Bacteroides caccae and Bacteroides xylanisolvens. At the same time, 17 genus as gout biomarkers were found, which can be highly distinguished from gout patients, and the accuracy of gout diagnosis was high. The ability of the intestinal bacterium to synthesize radon in gallbladder patients is reduced, while the ability of metabolic radon to produce uric acid is strengthened, while the urea enzyme content of urea production is significantly lower than that of healthy people, resulting in uric acid accumulation to form gallbladder.
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