ABSTRACT
Objective: To explore the relationship between the incidences of percutaneous coronary intervention (PCI) complicated depression and serum levels of brain-derived neurotrophic factor (BDNF), ghrelin in coronary artery disease (CAD) patients. Methods: A total of 90 CAD patients after PCI were enrolled. According to Hamilton depression (HAMD) scale, the patients were divided into 2 groups: Depression group, n=40 and Non-depression group, n=50. Serum levels of BDNF and Ghrelin were examined by ELISA and compared between 2 groups. Results: Compared with Non-depression group, Depression group had reduced serum levels of BDNF and Ghrelin, both P<0.05. As increased severity of depression, BDNF and Ghrelin were decreased accordingly; serum levels of BDNF and Ghrelin were negatively related to HAMD score (r=-0.711, P<0.05 and r=-0.711, P<0.05). Conclusion: Serum levels of BDNF and Ghrelin have an early warning effect on depression in CAD patients after PCI, it may reflect the severity of depression at certain degree in relevant patients.
ABSTRACT
Objective· To establish an integrative method for the gene-panel sequencing data to automatically complete quality control, detection of gene mutation and visualization. Methods · Integrate several methods, e.g. FastQC, preprocessing and information of sequences (Prinseq) to develop an R package that can be used to visualize and control the quality of the raw sequencing reads and final mutations result. The sequencing reads mapped against to the reference genome using Burrows-Wheeler Alignment Tool (BWA)/Torrent Mapping Alignment Program (TMAP). Lofreq, Varscan2, the Genome Analysis Toolkit (GATK) and Torrent Variant Caller (TVC) were used to detect gene mutation and get the variant call format (VCF) format file. Annotate the gene mutation sites using Annovar. Results · Thirty-six cases of acute myeloid leukemia sequencing from Ion Torrent Personal Genome Machine (PGM) platform were passed by this analysis tool.Ten mutation sites of 2 demo data were found in DNMT3A,TET2,JAK2,PHF6,ASXL1,NPM1 and CEBPA which were validated by sanger sequencing. Conclusion · The analysis method that integrated and developed several tools for gene-panel sequencing data analysis can accomplish the gene-panel sequencing data analysis effectively. Besides, it can reduce the false positive ratio and improve the sensitivity of gene mutation detection that provides support for the analysis of gene-panel sequencing data.