Comprehensive Study of Different Expressed Genes and Their Functional Modules in Anesthesia for Off-Pump Coronary Artery Bypass Grafting

Purpose. The effect of preoperative anesthesia on coronary artery bypass grafting without extracorporeal circulation is not apparent. We want to investigate the effects and molecular mechanisms of two anesthesia methods on the treatment of coronary artery bypass grafting (OPCABG) under extracorporea...

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Bibliographic Details
Published in:BioMed research international 2020, Vol.2020, p.8062902-8
Main Authors: Zhou, Hui, Min, Wang, Zhu, Zhihua
Format: Article
Language:English
Subjects:
Analytical methods
Anesthesia
Coronary artery
Coronary artery bypass
Coronary Artery Bypass, Off-Pump
Coronary vessels
Cytokines
Dosage and administration
Gene expression
Gene Expression Profiling
Gene Expression Regulation
Gene Regulatory Networks
Genes
Genetic aspects
Grafting
Health aspects
Heart surgery
Humans
Inhalation
Intravenous administration
Modules
Molecular modelling
Network analysis
Patient outcomes
Protein Interaction Maps - genetics
Proteins
Regulators
Respiration
RNA, Untranslated - genetics
RNA, Untranslated - metabolism
Signal Transduction - genetics
Transcription factors
Transcription Factors - metabolism
Veins & arteries
VHL protein
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Summary:Purpose. The effect of preoperative anesthesia on coronary artery bypass grafting without extracorporeal circulation is not apparent. We want to investigate the effects and molecular mechanisms of two anesthesia methods on the treatment of coronary artery bypass grafting (OPCABG) under extracorporeal circulation. Patients and Methods. The data of inhaled anesthesia and intravenous anesthesia before coronary artery bypass grafting were downloaded from the GEO database, and the differences were analyzed with the control group. The combination of multiple analytical methods can decipher the mechanism of anesthesia on surgery, including protein interaction network analysis, enrichment analysis, and regulatory subprediction. Results. This study obtained 6699 differential genes under two kinds of anesthesia before OPCABG. By constructing a protein interaction network of differentially expressed genes, we obtained 14 functional module networks. By predicting regulators of functional module genes, we revealed a series of ncRNAs (miR-129-5p, miR-340-5p, and miR-410-3p) and transcription factors (VHL and YBX1). Conclusion. Based on functional module network analysis, we identified the effects of preoperative inhalation anesthesia and intravenous anesthesia on OPCABG, which provides a valuable theoretical reference for subsequent clinical studies.
ISSN:2314-6133
2314-6141
DOI:10.1155/2020/8062902