Objective It was designed to observe the effects of ? amyloid protein on the functions of neurotransmitter receptors and to disclose the possible pathophysiological mechanism of Alzheimer disease(AD) mediated by ? amyloid protein and neurotransmitter receptors. Methods Messenger RNA was taken from brains of aged Wistar rats with Promega kits and microinjected into Xenopus oocytes for receptor expression. The currents of expressed receptors and the effects of A? 1 40 on them were detected with the double electrode voltage clamps technique. Results ACh, glutamate, dopamine and GABA receptors were successively expressed in Xenopus oocytes. The currents of these expressed receptors detected with voltage clamps were carried by chloride ions with their equibrillium potentials close to 22 mV. Currents of expressed ACh, glutamate, dopamine receptors in the aged rats decreased more significantly than those in adult young rats. A? had a reverse effect on the functions of ACh and glutamic acid receptors. A? 1 40 enhanced significantly the currents of expressed glutamate receptors when it inhibited markedly the currents of expressed ACh receptors. The currents induced by 10 -4 mol/L ACh decreased from (90.90?14.14) nA to (80.67?16.24) nA ( P

eEF1A2 might be a putative oncoprotein in HCC .eEF1A2 over-expression has noticeable effects on the HCC cell prolifera-tion enhancement , differentiation inhibition , and cell cycle acceleration through the G 0/G1 phase to S phase and G 2/M phases.

Objective:To identify and screen the differential methylation genes in patients with cholangiocarcinoma and to predict the prognosis of patients with CCA.Methods:Cholangiocarcinoma tissues and paracancerous tissues of 8 patients with cholangiocarcinoma in Fujian Provincial Hospital from October 2019 to May 2020 were selected for 850K methylation sequencing analysis to obtain differentially methylated genes. The 2018 genome-wide methylation data and clinical information of 36 patients with cholangiocarcinoma were download from The Cancer Genome Atlas (TCGA) database, the 2012 cholangiocarcinoma methylation data (GSE32879) were download from the Gene Expression Omnibus (GEO) database, and the 2018 TCGA database differential survival genomic data of overall survival (OS) and disease-free survival (DFS) of cholangiocarcinoma were download from the GEPIA2 database. The differentially methylated positions (DMP) and differentially methylated regions (DMR) results of 850K methylation sequencing analysis of submitted samples, methylated genes in TCGA and GEO databases, and cholangiocarcinoma survival genes of samples were jointly submitted for testing, multi-data set analysis was performed by the Sangerbox VENN tool, and common differentially methylated genes were obtained by intersection screening. The minimum P value method was used to determine the cut-off value of gene expression in Sangerbox, and the patients were divided into high and low expression groups of differentially methylated genes. The OS, DFS, disease-specific survival (DSS), disease-free interval (DFI) and progression-free interval (PFI) of cholangiocarcinoma patients were compared between the two groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Results:A total of 121 954 DMP were identified by 850K methylation sequencing of cholangiocarcinoma tissues and paracancerous tissues of 8 patients; a total of 1 399 differentially methylated genes were identified in DMR, and the common prognosis related genes glucosaminyl (N-acetyl) transferase 1 (GCNT1) and neurotrophic receptor tyrosine kinase 3 (NTRK3) were identified by intersection identification. The expression of GCNT1 in the cholangiocarcinoma tissues was higher than that in the paracancerous tissues, and the difference was statistically significant ( P = 0.040). The expression of NTRK3 in cholangiocarcinoma tissues was higher than that in the paracancerous tissues, but the difference was not statistically significant ( P = 0.790). The minimum P value method was used to predict the prognosis of patients with cholangiocarcinoma based on the combined expression of GCNT1 and NTRK3, and the order was based on the sum of the expression levels of the two genes. When 30% of the ranking was taken as the cut-off value, the difference in DFS between the high expression group and the low expression group in cholangiocarcinoma was the most significant ( P < 0.001); there was no significant difference in OS between the two groups ( P = 0.065). The results of GO functional analysis showed that GCNT1 was involved in protein glycosylation, macromolecule glycosylation, glycosylation, glycoprotein biosynthetic process, glycoprotein metabolic process, transferase activity and transferring glycosyl groups, protein O-linked glycosylation, O-glycan processing, etc., and NTRK3 was involved in neurotrophin signaling pathway, Ras signaling pathway, EGFR tyrosine kinase inhibitor resistance, ErbB signaling pathway, phospholipase D signaling pathway, central carbon metabolism in cancer, natural killer cell mediated cytotoxicity, etc. The results of KEGG analysis showed that GCNT1 was mainly associated with system functions such as mucin-type O-glycan biosynthesis and metabolic pathways, and NTRK3 was mainly associated with cell surface receptor pathways, intracellular signal transduction, positive regulation of stimulatory responses, transmembrane receptor protein tyrosine kinase signaling pathway, enzyme-linked receptor protein signaling pathway, MAPK signaling pathway cascade and regulation, protein phosphorylation signal transduction and other system functions. Conclusions:The expressions of differentially methylated genes GCTNT1 and NTRK3 in cholangiocarcinoma have certain predictive effects on the prognosis of patients with cholangiocarcinoma.