In-vitro high-throughput screening platform for acting effect of drug candidates on intestinal flora
A technology for intestinal flora and candidates, which can be used in measurement devices, color/spectral property measurement, material analysis by electromagnetic means, etc. Reduced adverse reactions, high-throughput effects
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Embodiment 1
[0027] In this implementation case, we choose inosine (Inosine) as the drug to be screened. Inosine, also known as inosine, is a biological fermentation product, which can be used for adjuvant treatment of acute and chronic hepatitis in medical treatment, for various reasons The leukopenia and thrombocytopenia caused by it are also used for heart diseases such as cor pulmonale and the treatment of heart or liver toxicity caused by anti-schistosomiasis drugs. The effect of this compound on intestinal flora is unknown, and it is hoped that through this screening, the effect on its effect on intestinal flora in people with liver damage will be studied. It was determined that the intestinal flora environment to be simulated in vitro was the intestines of the non-alcoholic fatty liver population, and then by analyzing the high-throughput sequencing data of 324 non-alcoholic fatty liver human intestinal flora, the bacterial species in the population samples were determined Relative ...
Embodiment 2
[0041] In this implementation case, we choose salicin as the drug to be screened. Salicin has the effect of treating colds, fever and infection, and relieving arthritis pain and low back pain. The mechanism of action between the compound and the intestinal flora is unknown, and it is hoped that through this screening, the effect of the compound on the intestinal flora of the Asian healthy population will be studied. It was determined that the intestinal flora environment to be simulated in vitro was the intestinal tract of healthy Chinese people, and then by analyzing the high-throughput sequencing data of 516 healthy human intestinal flora, it was determined that the relative abundance of bacteria in the population samples was >0.1%. 30 genera Alistipes, Bacteroides, Bifidobacterium, Blautia, Butyricicoccus, Clostridium, Collinsella, Coprococcus, Dysosmobacter, Eubacterium, Faecalibacillus, Faecalibacterium, Intestinibacter, Lactobacillus, Novgen_2710, Odoribacter, Oscil with ...
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