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Measurement of Pulse Propagation Velocity, Distensibility and Strain in an Abdominal Aortic Aneurysm Mouse Model
Published on: February 23, 2020
Weighted Gene Co-Expression Network Analysis Reveals Key Genes and Potential Drugs in Abdominal Aortic Aneurysm
Ke-Jia Kan1,2, Feng Guo1,2, Lei Zhu1,3
1Department of Surgery, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.
Abstract:
Abdominal aortic aneurysm (AAA) is a prevalent aortic disease that causes high mortality due to asymptomatic gradual expansion and sudden rupture. The underlying molecular mechanisms and effective pharmaceutical therapy for preventing AAA progression have not been fully identified. In this study, we identified the key modules and hub genes involved in AAA growth from the GSE17901 dataset in the Gene Expression Omnibus (GEO) database through the weighted gene co-expression network analysis (WGCNA). Key genes were further selected and validated in the mouse dataset (GSE12591) and human datasets (GSE7084, GSE47472, and GSE57691). Finally, we predicted drug candidates targeting key genes using the Drug-Gene Interaction database. Overall, we identified key modules enriched in the mitotic cell cycle, GTPase activity, and several metabolic processes. Seven key genes (CCR5, ADCY5, ADCY3, ACACB, LPIN1, ACSL1, UCP3) related to AAA progression were identified. A total of 35 drugs/compounds targeting the key genes were predicted, which may have the potential to prevent AAA progression.
Insights
Researchers identified key genes and potential drug targets for abdominal aortic aneurysm (AAA), a dangerous aortic disease. This study offers new insights into AAA progression and potential pharmaceutical therapies.
Area of Science:
- Genomics
- Molecular Biology
- Cardiovascular Research
Background:
- Abdominal aortic aneurysm (AAA) is a significant cause of mortality, characterized by gradual expansion and potential rupture.
- The molecular mechanisms driving AAA progression and effective pharmaceutical treatments remain largely unidentified.
- Understanding AAA pathogenesis is crucial for developing targeted therapies to prevent rupture.
Purpose of the Study:
- To identify key molecular mechanisms and hub genes associated with abdominal aortic aneurysm (AAA) progression.
- To validate identified genes across multiple datasets, including human and mouse samples.
- To predict potential drug candidates for preventing AAA progression based on identified key genes.
Main Methods:
- Weighted Gene Co-expression Network Analysis (WGCNA) was applied to the GSE17901 dataset to identify key modules and hub genes.
- Gene expression data from mouse (GSE12591) and human (GSE7084, GSE47472, GSE57691) datasets were used for validation.
- The Drug-Gene Interaction database was utilized to predict potential drug candidates targeting the identified key genes.
Main Results:
- Key modules associated with AAA progression were identified, enriched in mitotic cell cycle, GTPase activity, and metabolic processes.
- Seven crucial genes (CCR5, ADCY5, ADCY3, ACACB, LPIN1, ACSL1, UCP3) were identified as significantly related to AAA progression.
- Thirty-five potential drug candidates targeting these key genes were predicted for their therapeutic potential in preventing AAA.
Conclusions:
- This study successfully identified key genes and molecular pathways involved in abdominal aortic aneurysm (AAA) development.
- The identified genes and predicted drug candidates offer promising avenues for developing novel pharmaceutical strategies against AAA.
- Further research into these targets could lead to effective treatments for preventing AAA expansion and rupture.
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