Genetic and Molecular Relationships Between Chronic Obstructive Pulmonary Disease and Abdominal Aortic Aneurysm: Insights from a Multi-Omics Approach
Chronic obstructive pulmonary disease (COPD) and abdominal aortic aneurysm (AAA) are both severe conditions with complex etiologies and substantial comorbidities. Previous studies have suggested a potential relationship between these diseases, but the underlying genetic and molecular mechanisms rema...
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| Format: | Article |
| Language: | English |
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Compuscript Ltd
2025-06-01
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| Series: | Cardiovascular Innovations and Applications |
| Online Access: | https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2025.0003 |
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| author | Jian Wang Yuemeng Li Yun Li Jamol Uzokov Zhaoxuan Zhang Xiaoxu Zhang Deying Jiang Han Jiang Azad Hussain Chen Chen Jian Zhang Yanshuo Han |
| author_facet | Jian Wang Yuemeng Li Yun Li Jamol Uzokov Zhaoxuan Zhang Xiaoxu Zhang Deying Jiang Han Jiang Azad Hussain Chen Chen Jian Zhang Yanshuo Han |
| author_sort | Jian Wang |
| collection | DOAJ |
| description | Chronic obstructive pulmonary disease (COPD) and abdominal aortic aneurysm (AAA) are both severe conditions with complex etiologies and substantial comorbidities. Previous studies have suggested a potential relationship between these diseases, but the underlying genetic and molecular mechanisms remain unclear. We used bidirectional two-sample Mendelian randomization (MR) to investigate the causal relationship between COPD and AAA. Expression quantitative trait loci (eQTL) analysis was performed with GTEx V8 summary statistics for aortic and lung tissues. Single-cell sequencing data from GEO datasets were analyzed to identify differentially expressed genes. Finally, a phenome-wide association study (PheWAS) was conducted to explore the broader implications of identified pathogenic genes. We identified a genetic correlation between COPD and AAA. MR analysis revealed that COPD had a significant causal relationship with AAA (P < 0.05). SMR analysis identified 48 common genes associated with both COPD and AAA. Single-cell sequencing identified key genes, thus suggesting their potential roles as pathogenic factors. PheWAS further supported the pleiotropy and broader effects of these genes on various phenotypes. Our findings demonstrated a significant causal relationship between COPD and AAA. An integrative multi-omics approach provided a comprehensive understanding of the molecular mechanisms underlying these diseases. |
| format | Article |
| id | doaj-art-4e9a08cb090f4a9187f120e25d4433c1 |
| institution | Kabale University |
| issn | 2009-8618 2009-8782 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Compuscript Ltd |
| record_format | Article |
| series | Cardiovascular Innovations and Applications |
| spelling | doaj-art-4e9a08cb090f4a9187f120e25d4433c12025-08-20T03:25:26ZengCompuscript LtdCardiovascular Innovations and Applications2009-86182009-87822025-06-0110196510.15212/CVIA.2025.0003Genetic and Molecular Relationships Between Chronic Obstructive Pulmonary Disease and Abdominal Aortic Aneurysm: Insights from a Multi-Omics ApproachJian WangYuemeng LiYun LiJamol UzokovZhaoxuan ZhangXiaoxu ZhangDeying JiangHan JiangAzad HussainChen ChenJian ZhangYanshuo HanChronic obstructive pulmonary disease (COPD) and abdominal aortic aneurysm (AAA) are both severe conditions with complex etiologies and substantial comorbidities. Previous studies have suggested a potential relationship between these diseases, but the underlying genetic and molecular mechanisms remain unclear. We used bidirectional two-sample Mendelian randomization (MR) to investigate the causal relationship between COPD and AAA. Expression quantitative trait loci (eQTL) analysis was performed with GTEx V8 summary statistics for aortic and lung tissues. Single-cell sequencing data from GEO datasets were analyzed to identify differentially expressed genes. Finally, a phenome-wide association study (PheWAS) was conducted to explore the broader implications of identified pathogenic genes. We identified a genetic correlation between COPD and AAA. MR analysis revealed that COPD had a significant causal relationship with AAA (P < 0.05). SMR analysis identified 48 common genes associated with both COPD and AAA. Single-cell sequencing identified key genes, thus suggesting their potential roles as pathogenic factors. PheWAS further supported the pleiotropy and broader effects of these genes on various phenotypes. Our findings demonstrated a significant causal relationship between COPD and AAA. An integrative multi-omics approach provided a comprehensive understanding of the molecular mechanisms underlying these diseases.https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2025.0003 |
| spellingShingle | Jian Wang Yuemeng Li Yun Li Jamol Uzokov Zhaoxuan Zhang Xiaoxu Zhang Deying Jiang Han Jiang Azad Hussain Chen Chen Jian Zhang Yanshuo Han Genetic and Molecular Relationships Between Chronic Obstructive Pulmonary Disease and Abdominal Aortic Aneurysm: Insights from a Multi-Omics Approach Cardiovascular Innovations and Applications |
| title | Genetic and Molecular Relationships Between Chronic Obstructive Pulmonary Disease and Abdominal Aortic Aneurysm: Insights from a Multi-Omics Approach |
| title_full | Genetic and Molecular Relationships Between Chronic Obstructive Pulmonary Disease and Abdominal Aortic Aneurysm: Insights from a Multi-Omics Approach |
| title_fullStr | Genetic and Molecular Relationships Between Chronic Obstructive Pulmonary Disease and Abdominal Aortic Aneurysm: Insights from a Multi-Omics Approach |
| title_full_unstemmed | Genetic and Molecular Relationships Between Chronic Obstructive Pulmonary Disease and Abdominal Aortic Aneurysm: Insights from a Multi-Omics Approach |
| title_short | Genetic and Molecular Relationships Between Chronic Obstructive Pulmonary Disease and Abdominal Aortic Aneurysm: Insights from a Multi-Omics Approach |
| title_sort | genetic and molecular relationships between chronic obstructive pulmonary disease and abdominal aortic aneurysm insights from a multi omics approach |
| url | https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2025.0003 |
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