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: Yifei Chen, Honghao Huang, Yuyan Lyu, Yuehong Wang, Jun Pu
Format: Article
Language:English
Published: Compuscript Ltd 2025-03-01
Series:Cardiovascular Innovations and Applications
Online Access:https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2025.0012
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author Yifei Chen
Honghao Huang
Yuyan Lyu
Yuehong Wang
Jun Pu
author_facet Yifei Chen
Honghao Huang
Yuyan Lyu
Yuehong Wang
Jun Pu
author_sort Yifei Chen
collection DOAJ
description 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.
format Article
id doaj-art-fa8babe34aa9412e972314d806c95bc7
institution Kabale University
issn 2009-8618
2009-8782
language English
publishDate 2025-03-01
publisher Compuscript Ltd
record_format Article
series Cardiovascular Innovations and Applications
spelling doaj-art-fa8babe34aa9412e972314d806c95bc72025-08-20T03:48:31ZengCompuscript LtdCardiovascular Innovations and Applications2009-86182009-87822025-03-0110197110.15212/CVIA.2025.0012Identification of BTC and KLF15 in Vascular Smooth Muscle Cells as Key Biomarkers for Abdominal Aortic Aneurysm via Machine Learning and In Vitro ExperimentsYifei ChenHonghao HuangYuyan LyuYuehong WangJun PuWe 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.https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2025.0012
spellingShingle Yifei Chen
Honghao Huang
Yuyan Lyu
Yuehong Wang
Jun Pu
Identification of BTC and KLF15 in Vascular Smooth Muscle Cells as Key Biomarkers for Abdominal Aortic Aneurysm via Machine Learning and In Vitro Experiments
Cardiovascular Innovations and Applications
title Identification of BTC and KLF15 in Vascular Smooth Muscle Cells as Key Biomarkers for Abdominal Aortic Aneurysm via Machine Learning and In Vitro Experiments
title_full Identification of BTC and KLF15 in Vascular Smooth Muscle Cells as Key Biomarkers for Abdominal Aortic Aneurysm via Machine Learning and In Vitro Experiments
title_fullStr Identification of BTC and KLF15 in Vascular Smooth Muscle Cells as Key Biomarkers for Abdominal Aortic Aneurysm via Machine Learning and In Vitro Experiments
title_full_unstemmed Identification of BTC and KLF15 in Vascular Smooth Muscle Cells as Key Biomarkers for Abdominal Aortic Aneurysm via Machine Learning and In Vitro Experiments
title_short Identification of BTC and KLF15 in Vascular Smooth Muscle Cells as Key Biomarkers for Abdominal Aortic Aneurysm via Machine Learning and In Vitro Experiments
title_sort identification of btc and klf15 in vascular smooth muscle cells as key biomarkers for abdominal aortic aneurysm via machine learning and in vitro experiments
url https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2025.0012
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