A0524 Differentially Expressed Genes in Accumulated Epicardial Adipose Tissue Linked to Early Impaired Systolic Cardiac Deformation Ability in a Rat Model of Metabolic Syndrome

2018 ◽  
Vol 36 ◽  
pp. e5-e6
Author(s):  
Fucheng Liu ◽  
Xiaoying Liu ◽  
Xianghui Chen ◽  
Luyuan Chen
2021 ◽  
Author(s):  
Yajuan Cui ◽  
Xue Wang ◽  
Qiang Liu ◽  
Wen Gao ◽  
Bo Dong

Abstract Background: The occurrence of post-operative atrial fibrillation (POAF) can significantly reduce the prognosis of patients and increase the mortality of cardiovascular diseases. Meanwhile, epicardial adipose tissue (EAT), plays a crucial role in the occurrence and development of a variety of cardiovascular diseases.Methods: To link EAT with POAF and explore biomarkers with predictive value or therapeutic intervention significance for POAF in EAT.Through the Gene Expression Omnibus (GEO) database, gene expression profiles were collected while GSE 143924 contained EAT from POAF patients and sinus rhythm (SR) patients. And the R package "ClusterProfiler" as well as genetic ontology (GO) and The Kyoto Genomic Encyclopedia (KEGG) were utilized to annotate differential genes and to assess relevant functional categories. Cytoscape was used for protein interaction network (PPI) analysis of the differentially expressed genes. In the end, specimens from clinical patients were collected to further verify the selected genes.Results: The screened differentially expressed genes includes 53 up-regulated genes and 95 down-regulated genes. According to the results obtained by analyzing KEGG, GO enrichment analysis and PPI were made to identify the five genes with the highest degree of connectivity, which includes TNF-α, TLR2, CCL4, TIMP1 and CDH2. Therefore, in peripheral blood samples of clinical POAF patients, CCL4 showed significantly high expression while TIMP1 and CDH2 showed low expression, which was consistent with the results of data screening. But the expression of TLR2 is higher in the POAF group, which is inconsistent with the results of data screening.Conclusion: TNF-α and CCL4 were up-regulated and TIMP1 and CDH2 were down-regulated in EAT with POAF through data analysis and clinical experiments, which features great clinical value for the prevention, diagnosis and treatment of POAF.


2013 ◽  
Vol 62 (18) ◽  
pp. C159-C160
Author(s):  
Ferit Böyük ◽  
Bülent Özdemir ◽  
Saim Sağ ◽  
Tunay Şentürk ◽  
Aysel Aydın Kaderli ◽  
...  

Biomolecules ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 97 ◽  
Author(s):  
Esra Demir ◽  
Nazmiye Harmankaya ◽  
İrem Kıraç Utku ◽  
Gönül Açıksarı ◽  
Turgut Uygun ◽  
...  

In this study, it was aimed to investigate the relationship between the epicardial adipose tissue thickness (EATT) and serum IL-17A level insulin resistance in metabolic syndrome patients. This study enrolled a total of 160 subjects, of whom 80 were consecutive patients who applied to our outpatient clinic and were diagnosed with metabolic syndrome, and the other 80 were consecutive patients who were part of the control group with similar age and demographics in whom the metabolic syndrome was excluded. The metabolic syndrome diagnosis was made according to International Diabetes Federation (IDF)-2005 criteria. EATT was measured with transthoracic echocardiography (TTE) in the subjects. IL-17A serum levels were determined using the ELISA method. Fasting blood glucose, HDL, triglyceride, and fasting insulin levels were significantly higher in the metabolic syndrome group compared to the control group. In addition, the metabolic syndrome group had significantly higher high-sensitivity C-reactive protein (hs-CRP) and Homeostatic Model Assessment Insulin Resistance (HOMA-IR) levels than the control group. Similarly, serum IL-17A levels were significantly elevated in the metabolic syndrome group compared to the control group statistically (p < 0.001). As well, EATT was higher in the metabolic syndrome than the control group. Conclusion: By virtue of their proinflammatory properties, EATT and IL-17 may play an important role in the pathogenesis of the metabolic syndrome.


2020 ◽  
Vol 75 (11) ◽  
pp. 1717
Author(s):  
Andrew Lin ◽  
Nathan D. Wong ◽  
Frederic Commandeur ◽  
Sebastien Cadet ◽  
Heidi Gransar ◽  
...  

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