ABSTRACT
@#Genetic factors play an important role in the development of Alzheimer's disease (AD). This article mainly introduced some genes, which have been reported in recent years, predisposing to different aspects of AD. The occurrence and progress of the late onset Al-zheimer's disease (LOAD) can be better understood through further study of the susceptibility loci, especially by using the pathway analysis, and the important hub genes can be found so as to provide targets for clinical prevention, diagnosis and treatment. Due to the dispersion of genetic variant information, it needs detailed literature, online search and some bioinformatics methods to analyze the causative genes and signaling pathways related to LOAD. 3 databases were took as recourses, and they were analyzed with multi-means and multi-ways of analy-sis and data mining methods, in order to provide theoretical basis for further study and clinical treatment of AD genetics.
ABSTRACT
@# Objective To clarify the role of the known genes and new discovered genes, which were important to the pathogenesis of Alzheimer's disease (AD), in order to provide targets for clinical prevention, diagnosis and treatment. Methods In order to predict AD susceptible genes, the website databases (OMIM, AlzGene) and a variety of pathogenic gene prediction tools such as Endeavour, Gene Prospector, GLAD4U and ProphNet were used to make biological analysis. Results Disease-causing genes were directly obtained from the OMIM and Alzgene databases, and related genes were collected by 4 kinds of tools (select gene whose frequency was 3 or more). The data were shared and a list of 25 genes was gotten. These genes were CALHM1、 ABCA7、 A2M、 CLU、 SORL1、 HFE、 CD2AP、 APP、 ACE、 PICALM、 APOE、 NOS3、 MS4A6A、 PLD3、 CR1、 ADAM10、 MS4A4E、 BLMH、 PSEN1、 CD33、 PSEN2、 MPO、 APBB2、 BIN1 and PLAU. Conclusion CALHM1, ABCA7, A2M and CLU, etc., have a certain correlation with AD, which provide theoretical basis for further research of AD genics and clinical treatment.
ABSTRACT
Objective To clarify the role of the known genes and new discovered genes, which were important to the pathogenesis of Al-zheimer's disease (AD), in order to provide targets for clinical prevention, diagnosis and treatment. Methods In order to predict AD suscepti-ble genes, the website databases (OMIM, AlzGene) and a variety of pathogenic gene prediction tools such as Endeavour, Gene Prospector, GLAD4U and ProphNet were used to make biological analysis. Results Disease-causing genes were directly obtained from the OMIM and Alzgene databases, and related genes were collected by 4 kinds of tools (select gene whose frequency was 3 or more). The data were shared and a list of 25 genes was gotten. These genes were CALHM1、ABCA7、A2M、CLU、SORL1、HFE、CD2AP、APP、ACE、PICALM、APOE、NOS3、MS4A6A、PLD3、CR1、ADAM10、MS4A4E、BLMH、PSEN1、CD33、PSEN2、MPO、APBB2、BIN1 and PLAU. Conclusion CALHM1, ABCA7, A2M and CLU, etc., have a certain correlation with AD, which provide theoretical basis for further research of AD genics and clinical treatment.
ABSTRACT
Objective To detect the change of interleukin-18 (IL-18) level in the serum of patients with acute leukemia (AL) in children, and explore the clinical significance of IL-18. Methods The level of IL-18 was measured by sandwich enzyme-linked immuno-sorbent assay (ELISA) in 45 patients with AL in children. Results The leverof IL-18 in pre-treatment AL group was 719.35±358.21pg/mL and significantly higher than that of normal-control group [(311.80±146.64)pg/mL P 0.05). According to the clinical sub-group with risk factors in pre-treatment AL, the level of IL-18 in high risk(HR) and middle risk(MR) group was significantly higher than low risk(LR) group (P<0.05). The level of IL-18 in T-ALL group was significantly higher than that in B-ALL group (P<0.05). The levels of IL-18 in pre-treatment AL were markedly correlated to the count of blast cells in bone marrow (r=0.411, P=0.005). Conclusion The level of IL-18 in the patients of childhood AL was in a high expression, and related to the clinical treating effect and the count of blast cells in bone marrow, which would be taken as an index of treating effect. The level of IL-18 was closely related to the clinical risk factors in pre-treatment AL.