結合醫學資訊與生物資訊進行糖尿病腎病變生物標誌篩選

Currently, there is no accurate and specific diagnostic biomarker for diabeticnephropathy. Although microalbuminuria is considered to reflect the early stageof the irreversible process of nephropathy, the predictive value ofmicroalbuminuria for diabetic nephropathy is still insufficient. This study will use aprecision medical model to identify biomarkers of early diabetic nephropathy inTaiwanese. The primary condition of precision medicine is to find out these keygene or proteins in patients with diabetic nephropathy at different stages. We willfind out biomarkers from the biological fluid of diabetic nephropathy samples andmake prediction verification, and combine the results of other sub-projects. Wewill develop a platform for point-of- care biomarkers and understanding of relatedmechanisms. The study will be useful for the prevention and early screening ofdiabetic nephropathy.