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Kit for predicting treatment effects of GC (glucocorticoid) on SLE (systemic lupus erythematosus) based on HSP90AA1 genotypes

A glucocorticoid, genotype technology, applied in the field of medicine and health

Active Publication Date: 2015-07-15
ANHUI MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Currently, there is a lack of methods and kits for predicting the efficacy of GC in treating SLE based on the genotype of the HSP90AA1 gene polymorphism

Method used

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  • Kit for predicting treatment effects of GC (glucocorticoid) on SLE (systemic lupus erythematosus) based on HSP90AA1 genotypes
  • Kit for predicting treatment effects of GC (glucocorticoid) on SLE (systemic lupus erythematosus) based on HSP90AA1 genotypes
  • Kit for predicting treatment effects of GC (glucocorticoid) on SLE (systemic lupus erythematosus) based on HSP90AA1 genotypes

Examples

Experimental program
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Effect test

Embodiment 1

[0048] Example 1: A kit and method for predicting the efficacy of glucocorticoid in the treatment of SLE based on the genotype of the HSP90AA1 gene polymorphism site

[0049] (1) Components of the kit

[0050] (1) Primer for detecting genotype of HSP90AA1 gene polymorphism locus;

[0051] Primers for amplifying polymorphic sites:

[0052]

[0053] Primer to extend the polymorphic site:

[0054]

[0055] (2) PCR amplification enzyme and corresponding buffer;

[0056] (3) PCR product purification enzyme;

[0057] (4) dNTP;

[0058] (5) Single base extension reaction enzyme and corresponding buffer;

[0059] (6) Purification of enzymes from single base extension products.

[0060] (2) Genotype detection and efficacy prediction

[0061] 1 Collect blood samples

[0062] The patient is a Chinese SLE patient who meets the International Classification of Systemic Lupus Erythematosus (ACR, revised in 1997). 5ml of whole blood was drawn from the patient's peripheral vein and placed in a 0.5M EDTA antico...

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Abstract

The invention relates to a kit for predicting the treatment effects of GC (glucocorticoid) on SLE (systemic lupus erythematosus) based on HSP90AA1 genotypes. The kit comprises the following components: primers for detecting the HSP90AA1 gene polymorphism site genotypes, PCR (polymerase chain reaction) amplification enzymes and corresponding buffer solutions, PCR product purification enzymes, dNTP, single base extension reaction enzymes and corresponding buffer solutions and single base extension product purification enzymes. The invention provides the kit and a method, which are used for predicting the treatment effects of GC on SLE based on the HSP90AA1 gene polymorphism site genotypes. The rs7160651, rs10873531 and rs2298877 polymorphism site genotypes can be used for predicting the treatment effects of GC on SLE and provide a new idea and method for guiding individualized treatment of SLE patients.

Description

Technical field [0001] The invention relates to a kit and a method for predicting the curative effect of glucocorticoid in treating SLE based on the genotype of the HSP90AA1 gene polymorphism site, and belongs to the technical field of medicine and health. Background technique [0002] Systemic lupus erythematosus (SLE) is a relatively common autoimmune disease. Its etiology and pathogenesis are not yet fully understood. It is currently considered to be the result of a combination of genetic and environmental factors. The disease mostly occurs in young and middle-aged women, the ratio of male to female is about 1:7-9, the age of onset is more common in 15-45 years old, the clinical manifestations are diverse, and multiple system and organ injuries may occur. SLE is widely distributed all over the world, and the prevalence of different countries and regions is significantly different. The survey in my country shows that the prevalence is about 40 / 100,000 to 70 / 100,000. Based on th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68
Inventor 邹延峰叶冬青徐建华谷园园
Owner ANHUI MEDICAL UNIV
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