1.The effect of brain natriuretic peptide on serum angiotensin-converting enzyme 2 levels in acute heart failure patients with reduced ejection fraction
Jie YAN ; Hong ZHAO ; Yanjun LIU ; Pengyu SU
Tianjin Medical Journal 2017;45(4):372-376
Objective To investigate the effect of brain natriuretic peptide (BNP) on serum angiotensin-converting enzyme (ACE) 2 levels in acute heart failure patients with reduced ejection fraction (HFrEF). Methods A total of 106 patients with acute HFrEF were selected, and were divided randomly into control group and trial group. The control group was under routine treatment, while the trial group was under routine treatment combined with lyophiluzed recombinant human BNP for 24-hour. Cardiac functional parameters were measured by echocardiography both at the enrollment and the end of 7-day treatment. Serum levels of ACE2 and N-terminal pro-BNP (NT-proBNP) were determined using commercially available ELISA kits at the enrollment, the end of 24-hour treatment, and the end of 7-day treatment,respectively. Results A total of 103 patients with acute HFrEF were enrolled (control group=51, trial group=52). There were no significant differences in the use of drugs (e.g., aspirin) and serum biochemical indices (e.g. cardiac troponin I, creatinine) before treatment between these two groups. Compared to systolic blood pressure (SBP) at admission, SBP on the second day after treatment were significantly decreased in two groups (P<0.05). Compared to left ventricular ejection fraction (LVEF) at admission, LVEF values were significantly elevated on the seventh day after treatment in two groups ( P<0.05). There were no significant differences in SBP, diastolic blood pressure (DBP), and LVEF at admission between these two groups (P>0.05);there were also no significant differences in DBP on the second day after treatment, and LVEF on the seventh day after treatment (P>0.05), while SBP was significantly higher on the second day after treatment in control group than that of trial group (P < 0.05). Serum levels of NT-proBNP were decreased with the prolongation of time in two groups. Serum levels of ACE2 were decreased with the prolongation of time in control group, while were increased initially following decreased (which were still higher on the seventh day after treatment than that at admission) with the prolongation of time in trial group. Serum levels of NT-proBNP were higher after 2 days treatment or 7 days of treatment in control group than those of trial group, while serum levels of ACE2 were decreased after 2 days of treatment or 7 days of treatment in control group than those of trial group (P<0.05). Conclusion Patients with acute HFrEF may benefit from BNP by increasing serum ACE2 levels.
2.Advance in animal-assisted intervention: a visualized analysis
Pengyu YANG ; Jialin WANG ; Yue LIU ; Ping TANG ; Sihui SU
Chinese Journal of Rehabilitation Theory and Practice 2022;28(11):1325-1333
ObjectiveTo analyze the hotspots and development of researches on animal-assisted intervention in the past ten years. MethodsThe researches on animal-assisted intervention from 2011 to 2021 were retrieved from the Web of Science core database, and analyzed the countries/regions, institutions, authors, cited journals, cited literature and keywords using CiteSpace. ResultsA total of 607 researches were included. The researches increased with years, while United States (230), Italy (65) and the United Kingdom (45) were the top three in the number of publications; Purdue University published the most researches (20); and Santaniello A, etc. were the high-producing authors. The key nodes of literature were mainly systematic reviews and randomized controlled trials. Animal-assisted therapy and dogs were high-frequency keywords, with 20 keywords of high centrality and 16 keywords of strongest bursting. Hotspots focused on Alzheimer's disease, depression, children, autism. Disorder and occupational therapy might be the new topics in the future. ConclusionThe animal-assisted intervention has been mainly used as a healthcare in psychology, and may be an approach of occupational therapy.
3.Expression analysis of hypoxic-related differentially expressed genes in ischemic stroke based on gene expression omnibus database
Yunqi SU ; Xingwei JIANG ; Jun MA ; Jiayuan GONG ; Fenghua GAO ; Huaying AN ; Changwen NING ; Hanqi WEI ; Pengyu LIU ; Zhe WANG ; Qun YU
Chinese Journal of Cerebrovascular Diseases 2023;20(12):825-836
Objective Based on the gene expression omnibus(GEO)database,bioinformatics methods were employed to analyze the expression characteristics of hypoxia-related differentially expressed genes(HRDEGs)in ischemic stroke,and key genes were screened,to provide important support for a deeper understanding of ischemic stroke.Methods The GSE16561 and GSE58294 datasets were downloaded from the GEO database,and Python software was used for data integration.The Combat method was employed to eliminate batch effects while retaining disease grouping characteristics.Principal component analysis was conducted to reduce dimensionality of the data before and after batch effect removal,and intraclass correlation coefficient(ICC)testing was performed on the ischemic stroke and normal control groups.Gene set enrichment analysis(GSEA)and single-sample GSEA were conducted on the merged and batch effects eliminated dataset,with a nominal P-value(NOM P-val)<0.05 and false discovery rate P-value(FDR P-val)<0.25 used as criteria to select significantly different gene sets.Differential expression genes between the ischemic stroke samples and normal control samples after merging and eliminating batch effects of the GSE16561 and GSE58294 datasets were identified using R software,with an absolute value of log2 gene expression fold change(FC)≥0.58 and adjusted P-value(Padj)<0.05 as selection criteria.Intersection with hypoxia-related genes obtained from the National Center for Biotechnology Information(NCBI)in the United States yielded the HRDEGs.Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)enrichment analyses were performed on the HRDEGs,and the STRING database was used to construct a protein-protein interaction network of differentially expressed genes.The top 10 key genes were filtered using Cytoscape 3.8 software.Results The ICC analysis results showed excellent consistency in the ischemic stroke and normal control samples after batch effect removal,with ICC values of 0.94 and 0.98 for the GSE16561 and GSE58294datasets,respectively.GSEA results demonstrated significant enrichment of 34 gene sets in the stroke samples in the newly merged and batch effects removed dataset from GSE16561 and GSE58294,leading to the identification of 404 differentially expressed genes(all with Padj<0.05),including 354 upregulated genes and 50 downregulated genes.Intersection with hypoxia-related genes yielded 64 HRDEGs.GO enrichment analysis indicated significant enrichment of HRDEGs in vesicle lumen,cytoplasmic vesicle lumen,secretory granule lumen,with molecular functions such as amide binding,peptide binding,phospholipid binding,and enzyme inhibitor activity.These genes are primarily involved in the positive regulation of cytokine production,regulation of immune response,response to bacterium-derived molecules,and response to lipopolysaccharide,among other biological processes.KEGG enrichment analysis revealed enrichment of HRDEGs in pathways related to lipid and atherosclerosis,Salmonella infection,neutrophil extracellular trap formation,nucleotide-binding oligomerization domain-like receptor signaling pathway,protein glycosylation in cancer,tuberculosis,and necroptosis.Based on the protein-protein interaction network,10 key genes were identified,including arginase1(ARG1),caspase1(CASP1),interleukin1 receptor type 1(IL-1R1),integrin subunit alpha M(ITGAM),matrix metalloproteinase9(MMP9),prostaglandin-endoperoxide synthase 2(PTGS2),signal transducer and activator of transcription 3(STAT3),Toll-like receptor2(TLR2),TLR4,and TLR8.Conclusion This study has identified 10 key genes associated with ischemic stroke and hypoxia through bioinformatics mining,which maybe provid potential targets for subsequent research and diagnostic and therapeutic interventions.