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Gene Expression in Experimental Aortic Coarctation and Repair: Candidate Genes for Therapeutic Intervention?
John F LaDisa1, Serdar Bozdag2, Jessica Olson3
1Department of Biomedical Engineering, Marquette University, Milwaukee, Wisconsin, United States of America; Department of Medicine, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America; Biotechnology and Bioengineering Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America; Herma Heart Center, Children's Hospital of Wisconsin, Milwaukee, Wisconsin, United States of America.
Insights
This study identifies key genes and pathways involved in coarctation of the aorta (CoA) pathology using an experimental model. Findings may explain persistent hypertension and morbidity after CoA repair.
Area of Science:
- Cardiovascular Biology
- Developmental Biology
- Genomics
Background:
- Coarctation of the aorta (CoA) is a common congenital heart defect.
- While treatments improve survival, chronic hypertension and morbidity persist post-repair.
- Human studies face confounding variables, necessitating experimental models.
Purpose of the Study:
- To comprehensively identify differentially expressed genes (DEGs) in CoA-induced aortic pathology.
- To analyze enriched pathways and Gene Ontology terms associated with CoA and hypertension.
- To elucidate molecular mechanisms underlying persistent morbidity after CoA treatment.
Main Methods:
- Utilized a validated experimental model of CoA without confounding variables.
- Analyzed aortic tissue gene expression via microarray.
- Identified 51 DEGs (>6 fold-change) and performed pathway and MeSH term enrichment analysis.
Main Results:
- Identified 51 DEGs in CoA pathology.
- Discovered 18 enriched pathways, with 4 shared with hypertension and cardiovascular disease (CVD) MeSH terms (cell cycle, immune system, hemostasis, metabolism).
- Individual genes linked to CoA MeSH terms and contractile/metabolic proteins.
Conclusions:
- This study provides the most comprehensive DEG analysis for CoA pathology to date.
- Identified pathways and genes offer insights into mechanisms of persistent hypertension and morbidity.
- Findings may guide future therapeutic strategies for CoA patients.
Abstract:
Coarctation of the aorta (CoA) is a constriction of the proximal descending thoracic aorta and is one of the most common congenital cardiovascular defects. Treatments for CoA improve life expectancy, but morbidity persists, particularly due to the development of chronic hypertension (HTN). Identifying the mechanisms of morbidity is difficult in humans due to confounding variables such as age at repair, follow-up duration, coarctation severity and concurrent anomalies. We previously developed an experimental model that replicates aortic pathology in humans with CoA without these confounding variables, and mimics correction at various times using dissolvable suture. Here we present the most comprehensive description of differentially expressed genes (DEGs) to date from the pathology of CoA, which were obtained using this model. Aortic samples (n=4/group) from the ascending aorta that experiences elevated blood pressure (BP) from induction of CoA, and restoration of normal BP after its correction, were analyzed by gene expression microarray, and enriched genes were converted to human orthologues. 51 DEGs with >6 fold-change (FC) were used to determine enriched Gene Ontology terms, altered pathways, and association with National Library of Medicine Medical Subject Headers (MeSH) IDs for HTN, cardiovascular disease (CVD) and CoA. The results generated 18 pathways, 4 of which (cell cycle, immune system, hemostasis and metabolism) were shared with MeSH ID's for HTN and CVD, and individual genes were associated with the CoA MeSH ID. A thorough literature search further uncovered association with contractile, cytoskeletal and regulatory proteins related to excitation-contraction coupling and metabolism that may explain the structural and functional changes observed in our experimental model, and ultimately help to unravel the mechanisms responsible for persistent morbidity after treatment for CoA.
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