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METHOD FOR PREDICTING KAWASAKI DISEASE SYMPTOMS BY USING HMGB1, ITPKC, OR SLC11A1 GENE POLYMORPHISM
METHOD FOR PREDICTING KAWASAKI DISEASE SYMPTOMS BY USING HMGB1, ITPKC, OR SLC11A1 GENE POLYMORPHISM
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机译：HMGB1，ITPKC或SLC11A1基因多态性预测川崎病症状的方法
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摘要
The present invention relates to a method for predicting Kawasaki disease symptoms by using a HMGB1 gene polymorphism. Kawasaki disease is an acute febrile rash that occurs primarily in infants and toddlers younger than 5 years old and can cause the formation of coronary artery lesions when not treated with the proper use of intravenous immunoglobulin (IVIG).However, patients with Kawasaki disease show resistance to IVIG in many cases, making treatment difficult.A method for predicting Kawasaki disease symptoms by using a HMGB1 gene polymorphism, of the present invention, determines the correlation between the HMGB1 gene and Kawasaki disease symptoms and enables the possibility of coronary artery lesion formation or the possibility of IVIG resistance in patients with Kawasaki disease to be predicted in advance, and thus is expected to be widely used in the medical field.In addition, the present invention relates to a method for predicting the onset of Kawasaki disease by using ITPKC and SLC11A1 gene polymorphisms. Kawasaki disease is an acute febrile rash occuring primarily in infants and toddlers younger than 5 years old and can cause the formation of coronary artery lesions, and Kawasaki disease is known to be the most common cause of acquired heart disease in developed countries. However, until now, no specific test for diagnosing Kawasaki disease has existed such that diagnosis thereof has only been made according to clinical criteria, and thus management is achieved only by post-treatment and not by prevention.A method for predicting the onset of Kawasaki disease by using ITPKC and SLC11A1 gene polymorphisms, of the present invention, is applied to the correlation, specified in Koreans, between ITPKC and SLC11A1 genes and to synergistic effects thereby in the onset of Kawasaki disease, and enables possibility of onset to be predicted before the onset of Kawasaki disease, and thus is expected to be widely used in the medical field.
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