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Intestinal microbiome research and metabolite analysis cannot be ignored!

 To better understand the potential impact of gut microbes on human health, clinicians need to know not just the bacteria present in stool samples, but also the metabolites such as amino acids produced by those bacteria, say Australian and British researchers. The findings were published this week in the journal mSphere.       Dr Geraint B. Rogers, associate professor of microbiology and infectious diseases and member of the South Australian Institute of Health and Medical Research, said: "Typical DNA-based studies of the human microbiome or bacterial composition are limited because they do not reflect the metabolism of microbial colonies. Products. Studying the microbiome and its metabolites (metabolome) should be complementary, but because many microorganisms play the same role and some utilize the metabolites of other microorganisms, predicting metabolites is very challenging." The MetID team of Medicilon is composed of experienced scientists. We provide f...

Metabolite Analysis: Intestinal Bacteria can Predict Obesity

  Intestinal bacteria are not simple; they can predict obesity and be passed on from generation to generation.   A growing number of studies have shown that dysbiosis of the intestinal flora is closely associated with the development of various diseases such as obesity, diabetes, non-alcoholic fatty liver, inflammatory bowel disease, and gastrointestinal tumors. Therefore, it is crucial to conduct intestinal flora metabolite analysis to explore the association between intestinal flora metabolite changes and host disease occurrence for disease prevention and treatment. Recently it has been shown that the composition of the gut microbiota in infancy, especially at two years of age, maybe the earliest warning sign for the detection of obesity. On the other hand, experiments conducted by some scientists in mice have found that the mammalian gut microbiome can be transmitted from generation to generation. With the development of microbial metabolomics, qualitative and quan...