Literature DB >> 31999007

Plasma circular RNA hsa_circ_0001445 and coronary artery disease: Performance as a biomarker.

David Vilades1, Pablo Martínez-Camblor2, Andreu Ferrero-Gregori3,4, Christian Bär5,6, Dongchao Lu5, Ke Xiao5, Àngela Vea7, Laura Nasarre7, Jesus Sanchez Vega1, Rubén Leta1, Francesc Carreras1,4,7, Thomas Thum5,6, Vicenta Llorente-Cortés4,7,8, David de Gonzalo-Calvo4,5,7,8.   

Abstract

The role of circular RNAs (circRNAs) as biomarkers remains poorly characterized. Here, we investigated the performance of the circRNA hsa_circ_0001445 as a biomarker of coronary artery disease (CAD) in a real-world clinical practice setting. Plasma hsa_circ_0001445 was measured in a study population of 200 consecutive patients with suspected stable CAD who had undergone coronary computed tomographic angiography (CTA). Multivariable logistic models were constructed combining conventional risk factors with established biomarkers and hsa_circ_0001445. Model robustness was internally validated by the bootstrap technique. Biomarker accuracy was evaluated using the C-index. The integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were also calculated. Risk groups were developed via classification tree models. The stability of plasma hsa_circ_0001445 was evaluated under different clinical conditions. hsa_circ_0001445 levels were associated with higher coronary atherosclerosis extent and severity with a 2-fold increase across tertiles (28.4%-50.0%). Levels of hsa_circ_0001445 were proportional to coronary atherosclerotic burden, even after comprehensive adjustment for cardiovascular risk factors, medications, and established biomarkers (fully adjusted OR = 0.432 for hsa_circ_0001445 as a continuous variable and fully adjusted OR = 0.277 for hsa_circ_0001445 as a binary variable). The classification of patients was improved with the incorporation of hsa_circ_0001445 into a base clinical model (CM) composed of conventional cardiovascular risk factors, showing an IDI of 0.047 and NRI of 0.482 for hsa_circ_0001445 as a continuous variable and an IDI of 0.056 and NRI of 0.373 for hsa_circ_0001445 as a binary variable. A trend toward higher discrimination capacity was also observed (C-indexCM  = 0.833, C-indexCM+continuous hsa_circ_0001445  = 0.856 and C-indexCM+binary hsa_circ_0001445  = 0.855). Detailed analysis of stability showed that hsa_circ_0001445 was present in plasma in a remarkably stable form. In vitro, hsa_circ_0001445 was downregulated in extracellular vesicles secreted by human coronary smooth muscle cells upon exposure to atherogenic conditions. In patients with suspected stable CAD referred for coronary CTA, plasma hsa_circ_0001445 improves the identification of coronary artery atherosclerosis.
© 2020 Federation of American Societies for Experimental Biology.

Entities:  

Keywords:  SMARCA5; atherosclerosis; biomarker; chronic coronary syndrome; circSMARCA5; circular RNA; coronary artery disease; coronary heart disease; hsa_circ_0001445; ischemic heart disease; stability

Year:  2020        PMID: 31999007     DOI: 10.1096/fj.201902507R

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  32 in total

1.  Predicting circRNA-Disease Associations Based on Deep Matrix Factorization with Multi-source Fusion.

Authors:  Guobo Xie; Hui Chen; Yuping Sun; Guosheng Gu; Zhiyi Lin; Weiming Wang; Jianming Li
Journal:  Interdiscip Sci       Date:  2021-06-29       Impact factor: 2.233

Review 2.  Insights into circular RNAs: their biogenesis, detection, and emerging role in cardiovascular disease.

Authors:  Zoe Ward; John Pearson; Sebastian Schmeier; Vicky Cameron; Anna Pilbrow
Journal:  RNA Biol       Date:  2021-03-28       Impact factor: 4.652

3.  Stress conditions induced circRNAs profile of extracellular vesicles in brain microvascular endothelial cells.

Authors:  Xiao-Li Min; Hecun Zou; Jianghong Yan; Qiang Lyu; Xiang He; Fei-Fei Shang
Journal:  Metab Brain Dis       Date:  2022-06-14       Impact factor: 3.655

Review 4.  The Role of Extracellular Non-coding RNAs in Atherosclerosis.

Authors:  Yuting Cui; Yating Zhou; Ni Gan; Qiong Xiang; Mengdie Xia; Wei Liao; Xi-Long Zheng; Juan Peng; Zhihan Tang
Journal:  J Cardiovasc Transl Res       Date:  2022-03-01       Impact factor: 3.216

Review 5.  Emerging Roles of Extracellular Non-Coding RNAs in Vascular Diseases.

Authors:  Yaxiong Fang; Xiaoyan Dai
Journal:  J Cardiovasc Transl Res       Date:  2022-04-22       Impact factor: 3.216

6.  Circular RNA circ_0001445 alleviates the ox-LDL-induced endothelial injury in human primary aortic endothelial cells through regulating ABCG1 via acting as a sponge of miR-208b-5p.

Authors:  Zhihua Yang; Xing Liang; Lixia Yang
Journal:  Gen Thorac Cardiovasc Surg       Date:  2022-04-07

Review 7.  Peripheral blood microRNAs and the COVID-19 patient: methodological considerations, technical challenges and practice points.

Authors:  Lucía Pinilla; Ivan D Benitez; Jessica González; Gerard Torres; Ferran Barbé; David de Gonzalo-Calvo
Journal:  RNA Biol       Date:  2021-02-15       Impact factor: 4.652

8.  Overexpression of hsa_circ_0001445 reverses oxLDL‑induced inhibition of HUVEC proliferation via SRSF1.

Authors:  Guiying Liang; Sihua Chen; Sha Xin; Liang Dong
Journal:  Mol Med Rep       Date:  2021-05-13       Impact factor: 2.952

9.  Circular RNA hsa_circ_0006091 as a novel biomarker for hepatocellular carcinoma.

Authors:  Yongwei Zhang; Jun Li; Quanwei Cui; Panyi Hu; Shuangjiu Hu; Yeben Qian
Journal:  Bioengineered       Date:  2022-02       Impact factor: 6.832

10.  Knockdown of lncRNA ENST00000609755.1 Confers Protection Against Early oxLDL-Induced Coronary Heart Disease.

Authors:  Yi Sun; Shuna Huang; Chunyu Wan; Qishuang Ruan; Xiaoxu Xie; Donghong Wei; Guobo Li; Shaowei Lin; Huangyuan Li; Siying Wu
Journal:  Front Cardiovasc Med       Date:  2021-05-21
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