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Coding and Non-Coding Transcriptomic Landscape of Aortic Complications in Marfan Syndrome
Nathasha Samali Udugampolage1, Svetlana Frolova2,3, Jacopo Taurino1
1Cardiovascular-Genetic Center, IRCCS Policlinico San Donato, 20097 Milan, Italy.
International Journal of Molecular Sciences
|July 13, 2024
Summary
Marfan syndrome (MFS) research identifies molecular targets for thoracic aortic aneurysms (TAA). Understanding transcriptome and epigenome changes offers potential non-invasive biomarkers and novel therapeutic strategies for MFS-T AA.
Area of Science:
- Genomics and Molecular Biology
- Cardiovascular Research
- Connective Tissue Disorders
Background:
- Marfan syndrome (MFS) is a rare genetic connective tissue disorder.
- It commonly leads to thoracic aortic aneurysms (TAA) and potentially life-threatening dissection.
- Current management relies on invasive imaging and preventive surgery, highlighting a need for better diagnostic and therapeutic approaches.
Purpose of the Study:
- To review current research on molecular mechanisms in MFS-associated TAA.
- To identify potential non-invasive biomarkers and therapeutic targets.
- To integrate findings from transcriptomic and epigenomic studies.
Main Methods:
- Narrative review of studies investigating coding and non-coding transcriptomes and epigenomes in MFS-induced TAA.
- Analysis of high-throughput data integration.
- Summary of implicated molecular pathways and candidate molecules.
Main Results:
- Key pathways implicated include TGF-β signaling, extracellular matrix remodeling, inflammation, and mitochondrial dysfunction.
- Potential biomarkers like miR-200c were identified.
- Therapeutic targets such as Tfam and miR-632 emerged, linked to mitochondrial function and endothelial-to-mesenchymal transition.
Conclusions:
- Transcriptomic and epigenomic alterations provide insights into MFS-TAA pathogenesis.
- Identified biomarkers and therapeutic targets show promise but require extensive validation in large patient cohorts.
- Further research is crucial for clinical translation and improved MFS management.
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