Juntuo Zhou1, Lijie Sun2, Liwen Chen2, Shuwang Liu2, Lijun Zhong3, Ming Cui4. 1. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China. 2. Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education; Beijing Key Laboratory of Cardiovascular Receptors Research, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing, 100191, China. 3. Center of Medical and Health Analysis, Peking University Health Science Center, Beijing, 100191, China. zhonglijun@bjmu.edu.cn. 4. Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital; Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education; Beijing Key Laboratory of Cardiovascular Receptors Research, No. 49, Hua Yuan North Rd, Hai Dian District, Beijing, 100191, China. mingcui@bjmu.edu.cn.
Abstract
INTRODUCTION: Atrial fibrillation (AF) is an abnormal heart rhythm characterized by an irregular beating of the atria and is associated with an increased risk of heart failure, dementia, and stroke. Currently, the perturbation of plasma content due to AF disease onset is not well known. OBJECTIVES: To investigate dysregulated molecules in blood plasma of untreated AF patients, with the goal of identifying biomarkers for disease screening and pathological studies. METHODS: LC-MS based untargeted metabolomics, lipidomics and proteomics analyses were performed to find candidate biomarkers. A targeted quantification assay and an ELISA were performed to validate the results of the omics analyses. RESULTS: We found that 24 metabolites, 16 lipids and 16 proteins were significantly dysregulated in AF patients. Pathway enrichment analysis showed that the purine metabolic pathway and fatty acid metabolism were perturbed by AF onset. FA 20:2 and FA 22:4 show great linear correlational relationship with the left atrial area and could be considered for AF disease stage monitoring or prognosis evaluation. CONCLUSION: we used a comprehensive multiple-omics strategy to systematically investigate the dysregulated molecules in the plasma of AF patients, thereby revealing potential biomarkers for diagnosis and providing information for pathological studies.
INTRODUCTION:Atrial fibrillation (AF) is an abnormal heart rhythm characterized by an irregular beating of the atria and is associated with an increased risk of heart failure, dementia, and stroke. Currently, the perturbation of plasma content due to AF disease onset is not well known. OBJECTIVES: To investigate dysregulated molecules in blood plasma of untreated AFpatients, with the goal of identifying biomarkers for disease screening and pathological studies. METHODS: LC-MS based untargeted metabolomics, lipidomics and proteomics analyses were performed to find candidate biomarkers. A targeted quantification assay and an ELISA were performed to validate the results of the omics analyses. RESULTS: We found that 24 metabolites, 16 lipids and 16 proteins were significantly dysregulated in AFpatients. Pathway enrichment analysis showed that the purine metabolic pathway and fatty acid metabolism were perturbed by AF onset. FA 20:2 and FA 22:4 show great linear correlational relationship with the left atrial area and could be considered for AF disease stage monitoring or prognosis evaluation. CONCLUSION: we used a comprehensive multiple-omics strategy to systematically investigate the dysregulated molecules in the plasma of AFpatients, thereby revealing potential biomarkers for diagnosis and providing information for pathological studies.
Authors: Ning Li; Thomas A Csepe; Brian J Hansen; Lidiya V Sul; Anuradha Kalyanasundaram; Stanislav O Zakharkin; Jichao Zhao; Avirup Guha; David R Van Wagoner; Ahmet Kilic; Peter J Mohler; Paul M L Janssen; Brandon J Biesiadecki; John D Hummel; Raul Weiss; Vadim V Fedorov Journal: Circulation Date: 2016-07-26 Impact factor: 29.690
Authors: K Sattler; M Behnes; C Barth; A Wenke; B Sartorius; I El-Battrawy; K Mashayekhi; J Kuschyk; U Hoffmann; T Papavasiliu; C Fastner; S Baumann; S Lang; X Zhou; G Yücel; M Borggrefe; I Akin Journal: Metabolomics Date: 2017-09-20 Impact factor: 4.290
Authors: Christian Fastner; Michael Behnes; Benjamin Sartorius; Annika Wenke; Siegfried Lang; Gökhan Yücel; Katherine Sattler; Jonas Rusnak; Ahmad Saleh; Christian Barth; Kambis Mashayekhi; Ursula Hoffmann; Martin Borggrefe; Ibrahim Akin Journal: Int J Mol Sci Date: 2018-02-07 Impact factor: 5.923
Authors: Lars Lind; Samira Salihovic; Johan Sundström; Corey D Broeckling; Patrik K Magnusson; Jessica Prenni; Tove Fall; Johan Ärnlöv Journal: J Am Heart Assoc Date: 2021-01-05 Impact factor: 5.501