Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis
Abstract Aims This study aimed to explore the correlation between radiomics features of pericoronary adipose tissue (PCAT) and gene expression in patients with coronary artery disease (CAD), with the goal of identifying novel imaging biomarkers for evaluating CAD. Methods Between November 2021 and M...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-12-01
|
| Series: | Cardiovascular Diabetology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12933-024-02530-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850254491368030208 |
|---|---|
| author | Yan Li Weimin Zhang Yahui Hu Zheng Xu Qiang Huo Haicheng Qi Qian Liu Yan Xing |
| author_facet | Yan Li Weimin Zhang Yahui Hu Zheng Xu Qiang Huo Haicheng Qi Qian Liu Yan Xing |
| author_sort | Yan Li |
| collection | DOAJ |
| description | Abstract Aims This study aimed to explore the correlation between radiomics features of pericoronary adipose tissue (PCAT) and gene expression in patients with coronary artery disease (CAD), with the goal of identifying novel imaging biomarkers for evaluating CAD. Methods Between November 2021 and May 2022, data were collected from 60 patients diagnosed with CAD who underwent coronary artery bypass grafting (CABG) and coronary computed tomography angiography (CCTA). Samples of PCAT, three additional adipose tissue types, and peripheral venous blood were analysed. Radiomics features of PCAT were extracted. Gene expression in adipose tissues and serum was quantified via RT-qPCR, immunohistochemistry and ELISA. The correlations between the radiomics features and genes were analysed. Results Gene expression analysis revealed significantly elevated levels of CD31, MCP-1, and leptin in PCAT compared with other adipose tissues, and the radiomics features of PCAT have a strong correction with the expression of CD31 and MCP-1. At the systemic level, serum analysis revealed increased concentrations of TNF-α, IL-6, CD31, COL1A1, and resistin, with notable decreases in ADP in CAD patients relative to controls. Notably, CD31, ADP, IL-6, and resistin were significantly corrlated with PCAT texture features, whereas TNF-α was correlated with first-order features. Conclusions Our findings demonstrated a significant correlation between PCAT radiomics features and gene expression patterns in CAD patients. These features effectively reflect the pathological state of tissues and hold potential as innovative imaging biomarkers. By leveraging PCAT radiomics, clinicians may gain valuable insights for advanced evaluation and management of CAD in later stages. |
| format | Article |
| id | doaj-art-5f90d1cce0a14b9eb0be7c2dd3d1967e |
| institution | OA Journals |
| issn | 1475-2840 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Cardiovascular Diabetology |
| spelling | doaj-art-5f90d1cce0a14b9eb0be7c2dd3d1967e2025-08-20T01:57:08ZengBMCCardiovascular Diabetology1475-28402024-12-0123111210.1186/s12933-024-02530-6Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysisYan Li0Weimin Zhang1Yahui Hu2Zheng Xu3Qiang Huo4Haicheng Qi5Qian Liu6Yan Xing7Imaging Center, The First Affiliated Hospital of Xinjiang Medical UniversityDepartment of Cardiac Surgery, The First Affiliated Hospital of Xinjiang Medical UniversitySchool of Basic Medical Sciences, Xinjiang Medical UniversityShukun Technology Co.Department of Cardiac Surgery, The First Affiliated Hospital of Xinjiang Medical UniversityImaging Center, The First Affiliated Hospital of Xinjiang Medical UniversityImaging Center, The First Affiliated Hospital of Xinjiang Medical UniversityImaging Center, The First Affiliated Hospital of Xinjiang Medical UniversityAbstract Aims This study aimed to explore the correlation between radiomics features of pericoronary adipose tissue (PCAT) and gene expression in patients with coronary artery disease (CAD), with the goal of identifying novel imaging biomarkers for evaluating CAD. Methods Between November 2021 and May 2022, data were collected from 60 patients diagnosed with CAD who underwent coronary artery bypass grafting (CABG) and coronary computed tomography angiography (CCTA). Samples of PCAT, three additional adipose tissue types, and peripheral venous blood were analysed. Radiomics features of PCAT were extracted. Gene expression in adipose tissues and serum was quantified via RT-qPCR, immunohistochemistry and ELISA. The correlations between the radiomics features and genes were analysed. Results Gene expression analysis revealed significantly elevated levels of CD31, MCP-1, and leptin in PCAT compared with other adipose tissues, and the radiomics features of PCAT have a strong correction with the expression of CD31 and MCP-1. At the systemic level, serum analysis revealed increased concentrations of TNF-α, IL-6, CD31, COL1A1, and resistin, with notable decreases in ADP in CAD patients relative to controls. Notably, CD31, ADP, IL-6, and resistin were significantly corrlated with PCAT texture features, whereas TNF-α was correlated with first-order features. Conclusions Our findings demonstrated a significant correlation between PCAT radiomics features and gene expression patterns in CAD patients. These features effectively reflect the pathological state of tissues and hold potential as innovative imaging biomarkers. By leveraging PCAT radiomics, clinicians may gain valuable insights for advanced evaluation and management of CAD in later stages.https://doi.org/10.1186/s12933-024-02530-6Pericoronary adipose tissueGene expressionRadiomicsCoronary artery disease |
| spellingShingle | Yan Li Weimin Zhang Yahui Hu Zheng Xu Qiang Huo Haicheng Qi Qian Liu Yan Xing Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis Cardiovascular Diabetology Pericoronary adipose tissue Gene expression Radiomics Coronary artery disease |
| title | Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis |
| title_full | Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis |
| title_fullStr | Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis |
| title_full_unstemmed | Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis |
| title_short | Pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment: insights from gene expression analysis |
| title_sort | pericoronary adipose tissue radiomics features as imaging markers for coronary artery disease risk assessment insights from gene expression analysis |
| topic | Pericoronary adipose tissue Gene expression Radiomics Coronary artery disease |
| url | https://doi.org/10.1186/s12933-024-02530-6 |
| work_keys_str_mv | AT yanli pericoronaryadiposetissueradiomicsfeaturesasimagingmarkersforcoronaryarterydiseaseriskassessmentinsightsfromgeneexpressionanalysis AT weiminzhang pericoronaryadiposetissueradiomicsfeaturesasimagingmarkersforcoronaryarterydiseaseriskassessmentinsightsfromgeneexpressionanalysis AT yahuihu pericoronaryadiposetissueradiomicsfeaturesasimagingmarkersforcoronaryarterydiseaseriskassessmentinsightsfromgeneexpressionanalysis AT zhengxu pericoronaryadiposetissueradiomicsfeaturesasimagingmarkersforcoronaryarterydiseaseriskassessmentinsightsfromgeneexpressionanalysis AT qianghuo pericoronaryadiposetissueradiomicsfeaturesasimagingmarkersforcoronaryarterydiseaseriskassessmentinsightsfromgeneexpressionanalysis AT haichengqi pericoronaryadiposetissueradiomicsfeaturesasimagingmarkersforcoronaryarterydiseaseriskassessmentinsightsfromgeneexpressionanalysis AT qianliu pericoronaryadiposetissueradiomicsfeaturesasimagingmarkersforcoronaryarterydiseaseriskassessmentinsightsfromgeneexpressionanalysis AT yanxing pericoronaryadiposetissueradiomicsfeaturesasimagingmarkersforcoronaryarterydiseaseriskassessmentinsightsfromgeneexpressionanalysis |