Immunoglobulin A nephropathy T cell diagnostic marker
A technology of markers and nephropathy, applied in the field of nephropathy detection, can solve the problems of low specificity of immunodiagnostic markers, failure of early diagnosis by renal puncture, and inability of patients to obtain a definite diagnosis, etc.
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Embodiment 1
[0054] Example 1: Screening of markers
[0055] The examples of this application relate to the screening of diagnostic markers. Previous studies have shown that mRNA gene expression has great potential for molecular diagnosis of kidney disease, and the pathogenesis of immunoglobulin A nephropathy may be related to the T Cell Immunity Axis. Some gene axes (Axis) are related. Therefore, this protocol utilizes T cell-specific gene or protein expression to screen for potential diagnostic markers.
[0056] Preselected genes associated with five T cell classes that may be involved in the pathogenesis of immunoglobulin A nephropathy are as follows:
[0057] 1. Helper T Cell 1 Th1-related genes: CCL4, CCR2, CCR5, CXCR3, IFNG, IFNGR1, IFNGR2, IL2, IL20RA, JAK2, JAK3, STAT1, STAT4, TBR1, TNF;
[0058] 2. Helper T Cell 2 Th2-related genes: BCL2, BCL2L1, CCR3, CCR4, CCR8, CD28, CXCL11, CXCL12, GATA3, IL10, IL13, IL33, IL4, IL4R, IL5, NFATC2IP, STAT6;
[0059] 3. Helper T Cell 17 Th17-...
Embodiment 2
[0085] This embodiment provides a device for IgA nephropathy risk assessment, the device includes a processor and a memory, and the memory stores a computer program that can be executed by the processor. The method of using this device to assess the risk of IgA nephropathy in subjects is as follows:
[0086] 1. Select subjects' peripheral blood samples to extract exosomal mRNA.
[0087] 2. Send the extracted mRNA into a detection device (eg, a standard qPCR platform) for quantitative data on the expression of the seven genetic diagnostic markers provided in Example 1: CD4, CD8A, CCR3, GATA3, GZMA, RORA, VEGFC.
[0088] 3. Use the device to retrain a linear regression model using clinical observations as target variables (eg, proteinuria, eGFR, pathological grade by renal biopsy, 5- or 10-year uremia risk, drug efficacy prediction, drug resistance) , and determine the parameter vector w for peripheral blood samples according to the optimal linear regression model obtained n (...
Embodiment 3
[0090] This example provides a kit, including reagents capable of quantifying the mRNA levels of CD4, CD8A, CCR3, GATA3, GZMA, HDAC7, RORA and VEGFC, the reagents include reverse transcriptase, primers, Taq enzyme, fluorescent dyes, and the like.
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