Irritable bowel syndrome related flora marker and kit thereof
A technology for irritable bowel syndrome and markers, applied in the field of biomarkers, can solve the problems of rapid and accurate diagnosis of IBS that are not used to deterministically distinguish IBS, so as to reduce pain, improve the ease of promotion, and facilitate transportation. Effect
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Embodiment 1
[0069] Example 1: Establishment of an evaluation method for irritable bowel syndrome
[0070] 1) Sample collection and DNA extraction
[0071] 330 subjects (recorded as the first group in the full text), including 264 patients with irritable bowel syndrome and 66 healthy control subjects, as shown in Table 1 below, the stool samples were collected from Hong Kong Baptist University, and all were informed agree.
[0072] To qualify for this study, participating individuals were required to meet the following criteria prior to collection of stool samples:
[0073] a) Not taking antibiotics, probiotics, prebiotics or microbial supplements for at least three weeks;
[0074] b) Healthy volunteers have no recent history of treatment, cardiovascular disease, intestinal disease, metabolic imbalance, or recent gastrointestinal surgery.
[0075] The subjects' fresh stool samples were stored on dry ice, and immediately placed in a -80°C refrigerator for later use after delivery to th...
Embodiment 2
[0094] Example 2: Validation of Irritable Bowel Syndrome Assessment Method
[0095] From the 17 flora markers obtained in Example 1, the inventor collected another new research group (hereinafter referred to as the second group) to verify the identification ability of the irritable bowel syndrome classifier. The cohort included 86 IBS patients and 15 healthy controls, also from Hong Kong Baptist University. For each sample, the methods described in Example 1 were used for DNA extraction, DNA library construction, and high-throughput sequencing. The inventor obtained the species abundance profiles of these samples through Metaphlan2 software, and then obtained the relative abundance of each species indicated by TAX ID 1-17. In this evaluation analysis, the probability of suffering from irritable bowel syndrome is then calculated for each sample using a random forest algorithm. Among the 38 samples that were greater than the critical value of 0.8, there were 35 patients with...
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