Diabetic kidney disease (DKD) is characterized by high prevalence, multiple pathogenesis, and lack of effective treatment and management strategies. Early detection helps overcome treatment inertia, enables timely medical intervention, maximizes renal function in diabetic patients, and is essential to avoid renal failure and improve clinical outcomes. The gold standard for diagnosis of DKD is renal biopsy, which has the highest accuracy. However, due to the trauma of renal biopsy, the patient acceptance is low, the application scenario is not universal, and it is only used when it is difficult to distinguish diabetic nephropathy from non-diabetic nephropathy, and it is not the preferred diagnostic method for DKD. In the past decade, with the emergence and application of metabonomics, proteomics, genomics and other multi-omics techniques, more and more studies have recognized the prominent role of intestinal flora disorders and gut-derived metabolites in the occurrence of DKD. Therefore, from the perspective of intestinal flora, using multi-omics techniques to identify enterogenic metabolic markers of DKD and restore intestinal flora balance may be potential strategies for prevention and management of DKD. Modern medicine believes that intestinal flora is not only closely related to diet and digestion, participating in the synthesis, absorption and metabolism of nutrients, but also constituting intestinal barrier and participating in immune defense of the body. Its function is similar to the physiological function of "The spleen governs transportation and transformation". Based on the traditional Chinese medicine(TCM) pathogenesis of DKD "Spleen Failure to Disperse Essence and Poison Damage Kidney Collateral" proposed by the previous research group, this study intends to use microbiology-metabolomics to deeply study the TCM pathogenesis of DKD, provide scientific basis for it, and guide the theory of traditional Chinese medicine widely used in clinical work of prevention and treatment of diabetic nephropathy.
Age range
18 Years – 75 Years
Sex
ALL
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UACR
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eGFR
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BUN
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Scr
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FBG
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HbA1c
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GSP
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