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Metabolic Modulation and Potential Biomarkers of the Prognosis Identification for Severe Aortic Stenosis after TAVR by a Metabolomics Study
المؤلفون المشاركون
Liao, Yanbiao
Liu, Chang
Xiong, Tianyuan
Zhao, Mingyue
Zheng, Wen
Feng, Yuan
Li, Yijian
Ou, Yuanweixiang
Zhao, Zhengang
Peng, Yong
Wei, Jiafu
Li, Qiao
Meng, Wei
Liu, Xiaojing
Chen, Mao
المصدر
Cardiology Research and Practice
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-29
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Objectives.
To investigate the metabolic profile in patients with aortic stenosis (AS) after transcatheter aortic valve replacement (TAVR) and explore the potential biomarkers to predict prognosis after TAVR based on metabolomics.
Methods and Results.
Fifty-nine consecutive AS patients were prospectively recruited.
Blood samples from the ascending aorta, coronary sinus, and peripheral vein at before and after TAVR were collected, respectively.
Liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry were performed to analyze the metabolic profile before and after TAVR.
Influential metabolites were identified by integrating the univariate test, multivariate analysis, and weighted gene coexpression network analysis (WGCNA) algorithm.
PLS-DA analysis revealed a significant extremely early (within 30 minutes after TAVR) alterations of metabolites in the ascending aorta, coronary sinus, and peripheral vein.
The early (within 7 days after TAVR) changed metabolites in the peripheral vein were involved in purine metabolism, primary bile acid biosynthesis, glycerolipid metabolism, amino sugar and nucleotide sugar metabolism, one carbon pool by folate and alanine, and the aspartate and glutamate metabolism pathway.
We used volcano plots to find that the cardiac-specific changed metabolites were enriched to the sphingolipid metabolism pathway after TAVR.
Besides, WGCNA algorithm was performed to reveal that arginine and proline metabolites could reflect left ventricle regression to some extent.
Conclusion.
This is the first study to reveal systemic and cardiac metabolites changed significantly in patients with AS after TAVR.
Some altered metabolites involved in the arginine and proline metabolism pathway in the peripheral vein could predict left ventricle regression, which merited further study.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liao, Yanbiao& Liu, Chang& Xiong, Tianyuan& Zhao, Mingyue& Zheng, Wen& Feng, Yuan…[et al.]. 2020. Metabolic Modulation and Potential Biomarkers of the Prognosis Identification for Severe Aortic Stenosis after TAVR by a Metabolomics Study. Cardiology Research and Practice،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1152424
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liao, Yanbiao…[et al.]. Metabolic Modulation and Potential Biomarkers of the Prognosis Identification for Severe Aortic Stenosis after TAVR by a Metabolomics Study. Cardiology Research and Practice No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1152424
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liao, Yanbiao& Liu, Chang& Xiong, Tianyuan& Zhao, Mingyue& Zheng, Wen& Feng, Yuan…[et al.]. Metabolic Modulation and Potential Biomarkers of the Prognosis Identification for Severe Aortic Stenosis after TAVR by a Metabolomics Study. Cardiology Research and Practice. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1152424
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1152424
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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