精氨酸酶1在冠状动脉性心脏病中的高表达及其潜在致病机理
High Expression of Arginase 1 in Coronary Heart Disease and Its Potential Pathogenic Mechanisms
DOI: 10.12677/acm.2024.14123135, PDF,   
作者: 李明杰, 潘红波, 陈 罡:广西医科大学第一附属医院病理科,广西 南宁;广西医科大学第一临床医学院法医学系,广西 南宁;覃 凯, 李成昊, 熊丹丹*:广西医科大学第一附属医院病理科,广西 南宁;蒋文洁, 卢奕文:广西医科大学第一临床医学院法医学系,广西 南宁
关键词: 精氨酸酶1冠状动脉性心脏病标准化平均差汇总受试者工作特征曲线孟德尔随机化法Arginase 1 Coronary Heart Disease Standardized Mean Difference Summary Receiver Operating Characteristic Curve Mendelian Randomization
摘要: 目的:探讨精氨酸酶1 (arginase 1, ARG1)在冠状动脉性心脏病(coronary heart disease, CHD)中的转录表达水平及潜在致病机理。方法:整合CHD相关多中心高通量数据,计算ARG1 mRNA表达水平标准化平均差(standardized mean difference, SMD),通过汇总受试者工作特征曲线,灵敏度,特异度,似然比等指标来评价ARG1在CHD中的临床病理意义。利用孟德尔随机化法确定ARG1和CHD之间的因果联系,最后通过京都基因与基因组百科全书以及蛋白质–蛋白质相互作用分析明确ARG1在CHD中的潜在调控机制。结果:本研究共纳入6个平台14个CHD数据集,含427例CHD样本,296例正常对照样本。ARG1表达在CHD中显著上调,其标准化平均差为0.44 (95% CI: 0.06~0.83),汇总受试者工作特征曲线下面积为0.72 (95% CI: 0.68~0.76),灵敏度为0.55 (95% CI: 0.36~0.73),特异度为0.79 (95% CI: 0.55~0.92),阳性似然比为2.61 (95% CI: 1.16~5.86)、阴性似然比为0.57 (95% CI: 0.38~0.85);孟德尔随机化法未见ARG1与CHD之间的显著关联(OR = 0.9833, 95% CI = 0.9408~1.0278, p = 0.4563);ARG1可通过部分信号通路影响CHD的进展,如利什曼病、中性粒细胞胞外陷阱的形成、癌症中PD-L1表达和PD-1检查点等通路。结论:ARG1可能作为促进CHD发生的关键基因参与疾病的发生发展。
Abstract: Objective: To investigate the transcriptional expression levels of arginase 1 (ARG1) in coronary heart disease (CHD) and its potential pathogenic mechanisms. Methods: Integrating multi-center high-throughput data related to CHD, we computed the standardized mean difference (SMD) of ARG1 mRNA expression levels. The clinical pathological significance of ARG1 in CHD was evaluated through aggregated receiver operating characteristic curves, sensitivity, specificity, and likelihood ratios. Mendelian randomization was employed to determine the causal relationship between ARG1 and CHD. The potential regulatory mechanisms of ARG1 in CHD were clarified through the Kyoto Encyclopedia of Genes and Genomes and protein-protein interaction analyses. Results: This study included 14 CHD datasets from 6 platforms, comprising 427 CHD samples and 296 normal control samples. ARG1 expression was significantly upregulated in CHD, with a standardized mean difference of 0.44 (95% CI: 0.06 to 0.83). The area under the summary receiver operating characteristic curve was 0.72 (95% CI: 0.68 to 0.76), sensitivity was 0.55 (95% CI: 0.36 to 0.73), specificity was 0.79 (95% CI: 0.55 to 0.92), the positive likelihood ratio was 2.61 (95% CI: 1.16 to 5.86), and the negative likelihood ratio was 0.57 (95% CI: 0.38 to 0.85). Mendelian randomization did not show a significant association between ARG1 and CHD (OR = 0.9833, 95% CI = 0.9408 to 1.0278, p = 0.4563). ARG1 could influence the progression of CHD through several signaling pathways, including those involved in leishmaniasis, neutrophil extracellular traps formation, and PD-L1 expression in cancer and PD-1 checkpoint pathways. Conclusion: ARG1 may act as a key gene promoting the onset and progression of CHD.
文章引用:李明杰, 覃凯, 李成昊, 蒋文洁, 卢奕文, 潘红波, 陈罡, 熊丹丹. 精氨酸酶1在冠状动脉性心脏病中的高表达及其潜在致病机理[J]. 临床医学进展, 2024, 14(12): 680-693. https://doi.org/10.12677/acm.2024.14123135

参考文献

[1] Li, M., Song, S., Rong, Y., Wu, D. and Yin, Y. (2024) Zhishi Xiebai Guizhi Decoction for Coronary Heart Disease: A Systematic Review and Meta-Analysis. Medicine, 103, e36588. [Google Scholar] [CrossRef] [PubMed]
[2] Holmström, L., Juntunen, S., Vähätalo, J., Pakanen, L., Kaikkonen, K., Haukilahti, A., et al. (2022) Plaque Histology and Myocardial Disease in Sudden Coronary Death: The Fingesture Study. European Heart Journal, 43, 4923-4930. [Google Scholar] [CrossRef] [PubMed]
[3] Duggan, J.P., Peters, A.S., Trachiotis, G.D. and Antevil, J.L. (2022) Epidemiology of Coronary Artery Disease. Surgical Clinics of North America, 102, 499-516. [Google Scholar] [CrossRef] [PubMed]
[4] Samsky, M.D., Morrow, D.A., Proudfoot, A.G., Hochman, J.S., Thiele, H. and Rao, S.V. (2021) Cardiogenic Shock after Acute Myocardial Infarction. Journal of the American Medical Association, 326, Article 1840. [Google Scholar] [CrossRef] [PubMed]
[5] Dellborg, M., Giang, K.W., Eriksson, P., Liden, H., Fedchenko, M., Ahnfelt, A., et al. (2023) Adults with Congenital Heart Disease: Trends in Event-Free Survival Past Middle Age. Circulation, 147, 930-938. [Google Scholar] [CrossRef] [PubMed]
[6] Mueller, C. (2013) Biomarkers and Acute Coronary Syndromes: An Update. European Heart Journal, 35, 552-556. [Google Scholar] [CrossRef] [PubMed]
[7] Sternberg, M., Pasini, E., Chen-Scarabelli, C., Corsetti, G., Patel, H., Linardi, D., et al. (2019) Elevated Cardiac Troponin in Clinical Scenarios Beyond Obstructive Coronary Artery Disease. Medical Science Monitor, 25, 7115-7125. [Google Scholar] [CrossRef] [PubMed]
[8] Wu, G. and Morris, S.M. (1998) Arginine Metabolism: Nitric Oxide and beyond. Biochemical Journal, 336, 1-17. [Google Scholar] [CrossRef] [PubMed]
[9] Ming, Z., Zou, Z., Cai, K., Xu, Y.i., Chen, X., Yi, W., et al. (2020) ARG1 Functions as a Tumor Suppressor in Breast Cancer. Acta Biochimica et Biophysica Sinica, 52, 1257-1264. [Google Scholar] [CrossRef] [PubMed]
[10] Bronte, V. and Zanovello, P. (2005) Regulation of Immune Responses by L-Arginine Metabolism. Nature Reviews Immunology, 5, 641-654. [Google Scholar] [CrossRef] [PubMed]
[11] Shah, S.F.A., Khan, M.J., Iqbal, T., Akram, S., Waheed, F., Satti, H.S., et al. (2019) Arginase-1 Variants and the Risk of Familial Coronary Artery Disease in Subjects Originating from Pakistan. Genetic Testing and Molecular Biomarkers, 23, 32-38. [Google Scholar] [CrossRef] [PubMed]
[12] Shi, Y., Yang, S., Luo, M., Zhang, W. and Ke, Z. (2017) Systematic Analysis of Coronary Artery Disease Datasets Revealed the Potential Biomarker and Treatment Target. Oncotarget, 8, 54583-54591. [Google Scholar] [CrossRef] [PubMed]
[13] Cheng, M., An, S. and Li, J. (2017) CDKN2B-AS May Indirectly Regulate Coronary Artery Disease-Associated Genes via Targeting MiR-92a. Gene, 629, 101-107. [Google Scholar] [CrossRef] [PubMed]
[14] van Dam, S., Võsa, U., van der Graaf, A., Franke, L. and de Magalhães, J.P. (2017) Gene Co-Expression Analysis for Functional Classification and Gene—Disease Predictions. Briefings in Bioinformatics, 19, bbw139. [Google Scholar] [CrossRef] [PubMed]
[15] Qin, H., Zhang, J., Dong, K., Chen, D., Yuan, D. and Chen, J. (2022) Metabolic Characterization and Biomarkers Screening for Visceral Leishmaniasis in Golden Hamsters. Acta Tropica, 225, Article 106222. [Google Scholar] [CrossRef] [PubMed]
[16] Zhu, Q., Wu, Y., Mai, J., Guo, G., Meng, J., Fang, X., et al. (2022) Comprehensive Metabolic Profiling of Inflammation Indicated Key Roles of Glycerophospholipid and Arginine Metabolism in Coronary Artery Disease. Frontiers in Immunology, 13, Article 829425. [Google Scholar] [CrossRef] [PubMed]
[17] Li, S., Li, S., Li, Q., Zhou, Q., Liao, W., Yu, L., et al. (2023) Identification of Key Genes and Pathways in Atherosclerosis Using Integrated Bioinformatics Analysis. BMC Medical Genomics, 16, Article No. 102. [Google Scholar] [CrossRef] [PubMed]
[18] Branzk, N., Lubojemska, A., Hardison, S.E., Wang, Q., Gutierrez, M.G., Brown, G.D., et al. (2014) Neutrophils Sense Microbe Size and Selectively Release Neutrophil Extracellular Traps in Response to Large Pathogens. Nature Immunology, 15, 1017-1025. [Google Scholar] [CrossRef] [PubMed]
[19] Döring, Y., Soehnlein, O. and Weber, C. (2017) Neutrophil Extracellular Traps in Atherosclerosis and Atherothrombosis. Circulation Research, 120, 736-743. [Google Scholar] [CrossRef] [PubMed]
[20] Döring, Y., Manthey, H.D., Drechsler, M., Lievens, D., Megens, R.T.A., Soehnlein, O., et al. (2012) Auto-antigenic Protein-DNA Complexes Stimulate Plasmacytoid Dendritic Cells to Promote Atherosclerosis. Circulation, 125, 1673-1683. [Google Scholar] [CrossRef] [PubMed]
[21] Kim, J., Hong, C., Park, M.J., Song, Y.R., Kim, H.J. and Kim, S.G. (2017) Increased Neutrophil Extracellular Trap Formation in Uremia Is Associated with Chronic Inflammation and Prevalent Coronary Artery Disease. Journal of Immunology Research, 2017, 1-10. [Google Scholar] [CrossRef] [PubMed]
[22] Kushnareva, E., Kushnarev, V., Artemyeva, A., Mitrofanova, L. and Moiseeva, O. (2022) Myocardial PD-L1 Expression in Patients with Ischemic and Non-Ischemic Heart Failure. Frontiers in Cardiovascular Medicine, 8, Article 759972. [Google Scholar] [CrossRef] [PubMed]
[23] Wang, Y., Chen, L., Tian, Z., Shen, X., Wang, X., Wu, H., et al. (2017) CRISPR-Cas9 Mediated Gene Knockout in Human Coronary Artery Endothelial Cells Reveals a Pro-Inflammatory Role of TLR2. Cell Biology International, 42, 187-193. [Google Scholar] [CrossRef] [PubMed]