Diabetes kidney disease early warning model established based on synchronous detection of urine markers

An early warning model and kidney disease technology, applied in the field of biomedicine, can solve the problems of lack of sensitivity and specificity, and achieve the effect of high specificity and sensitivity

Active Publication Date: 2022-05-17
天津医科大学朱宪彝纪念医院
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Problems solved by technology

With the deepening of research, people found that MAU lacks sensitivity and specificity as a marker for early diagnosis of DKD

Method used

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  • Diabetes kidney disease early warning model established based on synchronous detection of urine markers
  • Diabetes kidney disease early warning model established based on synchronous detection of urine markers
  • Diabetes kidney disease early warning model established based on synchronous detection of urine markers

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Embodiment Construction

[0026] Unless otherwise defined, the technical terms used in the following embodiments have the same meaning as commonly understood by those skilled in the art to which the present invention belongs. The test reagents used in the following examples, unless otherwise specified, are conventional biochemical reagents; the experimental methods, unless otherwise specified, are conventional methods.

[0027] The invention will be described in detail below in conjunction with the embodiments and accompanying drawings.

[0028] The present invention selects Tianjin Zhu Xianyi Memorial Hospital outpatients to carry out case-control study, divides them into diabetes group and early DKD group, retains patients' fasting venous blood, morning clean mid-section urine and 24-hour urine to detect blood and urine biochemical indicators; at the same time Use the Luminex liquid-phase suspension chip to detect the concentration of new urine biomarkers, compare the level differences of each index ...

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Abstract

The invention provides a diabetic kidney disease early warning model established by synchronously detecting urine markers based on a urine suspension array, and a diabetic kidney disease prediction model established by four urine biomarkers including vitamin D binding protein, human tumor necrosis factor receptor 2, retinol binding protein 4 and kidney injury molecule 1, Y = 0.14 * VDBP + TNFR2 + 0.01 * RBP4 + 15.47 * KIM-1-19.24. According to the diabetic kidney disease early-warning model established based on synchronous detection of the urine markers, a new diagnosis means is provided for early warning of DKD, and the diabetic kidney disease early-warning model has certain potential clinical value in delaying development of DKD and assisting treatment of DKD. Clinical tests prove that synchronous combined detection of VDBP, TNFR2, RBP4 and KIM-1 in 11 urine biological markers has high specificity and sensitivity for early diagnosis of DKD, the diagnosis value of the kit is superior to that of any other single index, and the kit has the application prospect of being developed into a chip for early diagnosis of DKD.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and in particular relates to an early warning model of diabetic nephropathy established based on synchronous detection of urine markers. Background technique [0002] Diabetic kidney disease (DKD) is a chronic kidney disease (CKD) caused by diabetes (Diabetesmellitus, DM), manifested as persistent proteinuria and / or estimated glomerular filtration rate ( Estimated glomerular filtration rate (eGFR) declines, and can eventually develop into end-stage renal disease (End-stage renal disease, ESRD). DKD occurs in up to 40 percent of people with diabetes and can lead to kidney failure, cardiovascular disease and premature death. DKD has become the main cause of CKD and ESRD in my country. Its high prevalence and poor prognosis have brought a huge burden on the health and social economy of our people. Therefore, early diagnosis is very important. Microalbuminuria (MAU) is the earliest basis for cl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/68
CPCG01N33/68G01N2800/042G01N2800/347
Inventor 常宝成杨菊红陈莉明王靖宇高忠爱沈小芳孟铖王紫颜靳小芳解金兰孙笑月关诗琳郭振红钟菲菲张欣欣李欣然
Owner 天津医科大学朱宪彝纪念医院
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