Identification of BTC and KLF15 in Vascular Smooth Muscle Cells as Key Biomarkers for Abdominal Aortic Aneurysm via Machine Learning and In Vitro Experiments
We aimed to identify molecular candidates to serve as diagnostic biomarkers and therapeutic targets for abdominal aortic aneurysm (AAA). We conducted integrative bioinformatics analysis and used machine learning for key genetic screening. Gene expression profiles at the single-cell level were valida...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Compuscript Ltd
2025-03-01
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| Series: | Cardiovascular Innovations and Applications |
| Online Access: | https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2025.0012 |
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| Summary: | We aimed to identify molecular candidates to serve as diagnostic biomarkers and therapeutic targets for abdominal aortic aneurysm (AAA). We conducted integrative bioinformatics analysis and used machine learning for key genetic screening. Gene expression profiles at the single-cell level were validated through in vitro experiments. We identified Betacellulin (BTC) and Kruppel-like transcription factor 15 (KLF15) as biomarkers and potential therapeutic targets for AAA. Notably, BTC is expressed predominantly in vascular smooth muscle cells (VSMCs) in AAA, whereas KLF15 is expressed in VSMCs, fibroblasts, and other cell types. RT-qPCR validated a significant decrease in mRNA levels of BTC and KLF15 in VSMCs after angiotensin II administration. All-trans retinal, which interacts with BTC, was identified as a potential drug for AAA treatment. RAD21 might be a common TF driving both BTC and KLF15 expression. We identified two biomarkers and a potential therapeutic agent for AAA, thus enhancing understanding of the molecular mechanisms underlying the disease and offering novel strategies for its clinical management. |
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| ISSN: | 2009-8618 2009-8782 |