[1] K. P, B. S, K. D, A. A, A. D, C. B, C. M, D. HC, H. H, H. J, H. G, M. AS, O. J, P. BA, S. U, V.P. B, V. P, 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS, European heart journal 37(38) (2016) 2893-2962.
[2] S.S. Chugh, R. Havmoeller, K. Narayanan, D. Singh, M. Rienstra, E.J. Benjamin, R.F. Gillum, Y.H. Kim, J.H. McAnulty, Jr., Z.J. Zheng, M.H. Forouzanfar, M. Naghavi, G.A. Mensah, M. Ezzati, C.J. Murray, Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 Study, Circulation 129(8) (2014) 837-47.
[3] U. Schotten, S. Verheule, P. Kirchhof, A. Goette, Pathophysiological mechanisms of atrial fibrillation: a translational appraisal, Physiological reviews 91(1) (2011) 265-325.
[4] N. Loris, B. Sheryl, L. Alessandra, Combining multiple approaches for gene microarray classification, Bioinformatics (8) (2012) 8.
[5] A. Ghazalpour, B. Bennett, V.A. Petyuk, L. Orozco, R. Hagopian, I.N. Mungrue, C.R. Farber, J. Sinsheimer, H.M. Kang, N. Furlotte, C.C. Park, P.Z. Wen, H. Brewer, K. Weitz, D.G. Camp, 2nd, C. Pan, R. Yordanova, I. Neuhaus, C. Tilford, N. Siemers, P. Gargalovic, E. Eskin, T. Kirchgessner, D.J. Smith, R.D. Smith, A.J. Lusis, Comparative analysis of proteome and transcriptome variation in mouse, PLoS genetics 7(6) (2011) e1001393.
[6] M.-S. Kim, S.M. Pinto, D. Getnet, R.S. Nirujogi, S.S. Manda, R. Chaerkady, A.K. Madugundu, D.S. Kelkar, R. Isserlin, S. Jain, J.K. Thomas, B. Muthusamy, P. Leal-Rojas, P. Kumar, N.A. Sahasrabuddhe, L. Balakrishnan, J. Advani, B. George, S. Renuse, L.D.N. Selvan, A.H. Patil, V. Nanjappa, A. Radhakrishnan, S. Prasad, T. Subbannayya, R. Raju, M. Kumar, S.K. Sreenivasamurthy, A. Marimuthu, G.J. Sathe, S. Chavan, K.K. Datta, Y. Subbannayya, A. Sahu, S.D. Yelamanchi, S. Jayaram, P. Rajagopalan, J. Sharma, K.R. Murthy, N. Syed, R. Goel, A.A. Khan, S. Ahmad, G. Dey, K. Mudgal, A. Chatterjee, T.-C. Huang, J. Zhong, X. Wu, P.G. Shaw, D. Freed, M.S. Zahari, K.K. Mukherjee, S. Shankar, A. Mahadevan, H. Lam, C.J. Mitchell, S.K. Shankar, P. Satishchandra, J.T. Schroeder, R. Sirdeshmukh, A. Maitra, S.D. Leach, C.G. Drake, M.K. Halushka, T.S.K. Prasad, R.H. Hruban, C.L. Kerr, G.D. Bader, C.A. Iacobuzio-Donahue, H. Gowda, A. Pandey, A draft map of the human proteome, Nature 509(7502) (2014) 575-581.
[7] A. Ramasamy, A. Mondry, C.C. Holmes, D.G. Altman, Key issues in conducting a meta-analysis of gene expression microarray datasets, PLoS medicine 5(9) (2008) e184.
[8] L. Gautier, L. Cope, B.M. Bolstad, R.A. Irizarry, affy-analysis of Affymetrix GeneChip data at the probe level, Bioinformatics 20(3) (2004) p. 307-315.
[9] K. Audrey, G. Robert, H. Wolfgang, arrayQualityMetrics—a bioconductor package for quality assessment of microarray data, Bioinformatics (3) (2008) 3.
[10] Y. Liao, G. Smyth, W. Shi, The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads, Nucleic acids research 47(8) (2019) e47.
[11] M. Lawrence, W. Huber, H. Pagès, P. Aboyoun, M. Carlson, R. Gentleman, M. Morgan, V. Carey, Software for computing and annotating genomic ranges, PLoS computational biology 9(8) (2013) e1003118.
[12] C. JK, Y. U, K. S, Y. OJ, Combining multiple microarray studies and modeling interstudy variation, Bioinformatics (Oxford, England) (2003) i84-90.
[13] C.J. Kyoon, U. Yu, K. Sangsoo, Y.O. Joon, Combining multiple microarray studies and modeling interstudy variation, Bioinformatics (suppl_1) (2003) suppl_1.
[14] J. Cox, M. Mann, MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification, Nature Biotechnology 26(12) (2008) 1367-1372.
[15] Y. Zhou, B. Zhou, L. Pache, M. Chang, A.H. Khodabakhshi, O. Tanaseichuk, C. Benner, S.K. Chanda, Metascape provides a biologist-oriented resource for the analysis of systems-level datasets, Nat Commun 10(1) (2019) 1523.
[16] Y. Lei, H. Liu, Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution, Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, 2003.
[17] M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, I.H. Witten, The WEKA data mining software: an update, SIGKDD Explor. Newsl. 11(1) (2009) 10–18.
[18] A.S. Barth, S. Merk, E. Arnoldi, L. Zwermann, P. Kloos, M. Gebauer, K. Steinmeyer, M. Bleich, S. Kääb, M. Hinterseer, Reprogramming of the human atrial transcriptome in permanent atrial fibrillation: Expression of a ventricular-like genomic signature, Circulation Research 96(9) (2005) 1022-9.
[19] D. A, B. J, S. H, N. D, C. L, P. G, J. D, R. E, G. AM, M. K, M. C, S. JD, V.W. DR, C. MK, Left atrial transcriptional changes associated with atrial fibrillation susceptibility and persistence, Circulation. Arrhythmia and electrophysiology 8(1) (2015) 32-41.
[20] L. Y, S. Q, M. Y, L. Q, The role of immune cells in atrial fibrillation, Journal of molecular and cellular cardiology 123 (2018) 198-208.
[21] D. Opacic, K.A. van Bragt, H.M. Nasrallah, U. Schotten, S. Verheule, Atrial metabolism and tissue perfusion as determinants of electrical and structural remodelling in atrial fibrillation, Cardiovascular Research 109(4) (2016) 527-541.
[22] L. Y, B. F, L. N, O. F, L. Q, The Warburg effect: A new insight into atrial fibrillation, Clinica chimica acta; international journal of clinical chemistry 499 (2019) 4-12.
[23] F. Bai, T. Tu, F. Qin, Y. Ma, N. Liu, Y. Liu, X. Liao, S. Zhou, Q. Liu, Quantitative proteomics of changes in succinylated proteins expression profiling in left appendages tissue from valvular heart disease patients with atrial fibrillation, Clinica Chimica Acta 495 (2019) 345-354.
[24] S.H. Chang, Y.H. Yeh, J.L. Lee, Y.J. Hsu, C.T. Kuo, W.J. Chen, Transforming growth factor-beta-mediated CD44/STAT3 signaling contributes to the development of atrial fibrosis and fibrillation, Basic research in cardiology 112(5) (2017) 58.
[25] W.J. Chen, S.H. Chang, Y.H. Chan, J.L. Lee, Y.J. Lai, G.J. Chang, F.C. Tsai, Y.H. Yeh, Tachycardia-induced CD44/NOX4 signaling is involved in the development of atrial remodeling, J Mol Cell Cardiol 135 (2019) 67-78.
[26] F. Rao, K. Zhang, S. Khandrika, M. Mahata, M.M. Fung, M.G. Ziegler, B.K. Rana, D.T. O'Connor, Isoprostane, an "intermediate phenotype" for oxidative stress heritability, risk trait associations, and the influence of chromogranin B polymorphism, Journal of the American College of Cardiology 56(16) (2010) 1338-50.
[27] K. Zhang, F. Rao, L. Wang, B.K. Rana, S. Ghosh, M. Mahata, R.M. Salem, J.L. Rodriguez-Flores, M.M. Fung, J. Waalen, B. Tayo, L. Taupenot, S.K. Mahata, D.T. O'Connor, Common functional genetic variants in catecholamine storage vesicle protein promoter motifs interact to trigger systemic hypertension, Journal of the American College of Cardiology 55(14) (2010) 1463-75.
[28] Y. Liang, W.H. Bradford, J. Zhang, F. Sheikh, Four and a half LIM domain protein signaling and cardiomyopathy, Biophys Rev 10(4) (2018) 1073-1085.
[29] L. Rochette, J. Lorin, M. Zeller, J.C. Guilland, L. Lorgis, Y. Cottin, C. Vergely, Nitric oxide synthase inhibition and oxidative stress in cardiovascular diseases: possible therapeutic targets?, Pharmacology & therapeutics 140(3) (2013) 239-57.
[30] X. Liang, Q. Zhang, X. Wang, M. Yuan, Y. Zhang, Z. Xu, G. Li, T. Liu, Reactive oxygen species mediated oxidative stress links diabetes and atrial fibrillation, Molecular medicine reports 17(4) (2018) 4933-4940.
[31] N. Suffee, T. Moore-Morris, P. Farahmand, C. Rucker-Martin, G. Dilanian, M. Fradet, D. Sawaki, G. Derumeaux, P. LePrince, K. Clement, I. Dugail, M. Puceat, S.N. Hatem, Atrial natriuretic peptide regulates adipose tissue accumulation in adult atria, Proceedings of the National Academy of Sciences of the United States of America 114(5) (2017) E771-e780.
[32] J. Fan, L. Zou, K. Cui, K. Woo, H. Du, S. Chen, Z. Ling, Q. Zhang, B. Zhang, X. Lan, L. Su, B. Zrenner, Y. Yin, Atrial overexpression of angiotensin-converting enzyme 2 improves the canine rapid atrial pacing-induced structural and electrical remodeling. Fan, ACE2 improves atrial substrate remodeling, Basic research in cardiology 110(4) (2015) 45.
[33] R. Kerkela, M. Ilves, S. Pikkarainen, H. Tokola, V.P. Ronkainen, T. Majalahti, J. Leppaluoto, O. Vuolteenaho, H. Ruskoaho, Key roles of endothelin-1 and p38 MAPK in the regulation of atrial stretch response, American journal of physiology. Regulatory, integrative and comparative physiology 300(1) (2011) R140-9.
[34] W. Cheng, Y. Zhu, H. Wang, The MAPK pathway is involved in the regulation of rapid pacing-induced ionic channel remodeling in rat atrial myocytes, Molecular medicine reports 13(3) (2016) 2677-82.
[35] E. Lu, F.D. Wolfreys, J.R. Muppidi, Y. Xu, J.G. Cyster, S-Geranylgeranyl-L-glutathione is a ligand for human B cell-confinement receptor P2RY8, Nature 567(7747) (2019) 244-248.
[36] W. Li, Z.Q. Wu, S. Zhang, R. Cao, J. Zhao, Z.J. Sun, W. Zou, Augmented expression of gamma-glutamyl transferase 5 (GGT5) impairs testicular steroidogenesis by deregulating local oxidative stress, Cell and tissue research 366(2) (2016) 467-481.
[37] R. Dhingra, P. Gona, T.J. Wang, C.S. Fox, R.B. D'Agostino, Sr., R.S. Vasan, Serum gamma-glutamyl transferase and risk of heart failure in the community, Arteriosclerosis, thrombosis, and vascular biology 30(9) (2010) 1855-60.
[38] A. Sharma, M. Ghatge, L. Mundkur, R. Vangala, Translational informatics approach for identifying the functional molecular communicators linking coronary artery disease, infection and inflammation, Molecular medicine reports (2016).
[39] L. Staerk, S.R. Preis, H. Lin, S.A. Lubitz, P.T. Ellinor, D. Levy, E.J. Benjamin, L. Trinquart, Protein Biomarkers and Risk of Atrial Fibrillation: The FHS, Circ Arrhythm Electrophysiol 13(2) (2020) e007607.
[40] M. Busch, A. Kruger, S. Gross, T. Ittermann, N. Friedrich, M. Nauck, M. Dorr, S.B. Felix, Relation of IGF-1 and IGFBP-3 with prevalent and incident atrial fibrillation in a population-based study, Heart rhythm 16(9) (2019) 1314-1319.
[41] M.L. Bang, J. Chen, Roles of Nebulin Family Members in the Heart, Circulation journal : official journal of the Japanese Circulation Society 79(10) (2015) 2081-7.
[42] C. Vasilescu, T.H. Ojala, V. Brilhante, S. Ojanen, H.M. Hinterding, E. Palin, T.P. Alastalo, J. Koskenvuo, A. Hiippala, E. Jokinen, T. Jahnukainen, J. Lohi, J. Pihkala, T.A. Tyni, C.J. Carroll, A. Suomalainen, Genetic Basis of Severe Childhood-Onset Cardiomyopathies, Journal of the American College of Cardiology 72(19) (2018) 2324-2338.
[43] K.B. Collins, H. Kang, J. Matsche, J.E. Klomp, J. Rehman, A.B. Malik, A.V. Karginov, Septin2 mediates podosome maturation and endothelial cell invasion associated with angiogenesis, The Journal of cell biology 219(2) (2020).
[44] A. Vazquez, L.F. Grochola, E.E. Bond, A.J. Levine, H. Taubert, T.H. Müller, P. Würl, G.L. Bond, Chemosensitivity profiles identify polymorphisms in the p53 network genes 14-3-3tau and CD44 that affect sarcoma incidence and survival, Cancer research 70(1) (2010) 172-80.
[45] C. Franzini-Armstrong, F. Protasi, P. Tijskens, The assembly of calcium release units in cardiac muscle, Annals of the New York Academy of Sciences 1047 (2005) 76-85.
[46] J.C. Zhang, H.L. Wu, Q. Chen, X.T. Xie, T. Zou, C. Zhu, Y. Dong, G.J. Xiang, L. Ye, Y. Li, P.L. Zhu, Calcium-Mediated Oscillation in Membrane Potentials and Atrial-Triggered Activity in Atrial Cells of Casq2(R33Q/R33Q) Mutation Mice, Frontiers in physiology 9 (2018) 1447.
[47] G. Mercuro, P. Bassareo, M. Deidda, C. Cadeddu, L. Barberini, L. Atzori, Metabolomics: a new era in cardiology?, Journal of cardiovascular medicine (Hagerstown, Md.) 12(11) (2011) 800-5.