View clinical trials related to Gut Microbiota.
Filter by:Studies has shown an increasingly infection rate after splenectomy, and there is a potential correlation between microbiota and immune system. investigators suppose that increasingly infection can be associated with the alteration composition of the gut microbiota after splenectomy. It's investigators' aim to discover if any difference of gut microbiota is exist in patients who suffer from traumatic splenectomy compared with normal people, ultimately aim toreduce and mitigation infection rate through controlling gut microbiota.
Autoimmune thyroid disease (AITD), which includes Hashimoto's thyroiditis (HT) and Grave's disease (GD), are the most common organ-specific autoimmune diseases and affect more women than men, with a female-to-male ratio from 5 to 10. Many studies have indicated that alterations in the gut microbiota are important environmental factors in the development of inflammatory and autoimmune diseases. Investigators systematically performed a comparative analysis of the gut microbiota in AITD patients and healthy controls.
Colonic microbiome has been found to contribute to the development of colorectal cancer. We speculate that gut microbiota related to colorectal cancer relapse after curative treatment. This study aim to discover if any difference of gut microbiota exist in patients who suffer from cancer relapse compared with patients who do not. Finally develop patient-centred programmes of surveillance protocols base on microbiota analysis.
Patients with colorectal cancer are known to be at high risk of developing metachronous adenoma, however, participation in colonoscopy are low. Colonoscopy, the primary modality used all over the word, is costly and invasive, and its efficacy depends on the endoscopist's skill and the patient's bowel preparation. As life expectancy of patients with history of colon cancer is increasing, colonoscopy would increase the overall cost for patients and for the health care system. This study aim to construct a predictive model of postoperative colorectal neoplasm development using microbiota analysis.