Contribution of sarcomere gene mutations to left atrial function in patients with hypertrophic cardiomyopathy

Hyemoon Chung1, Yoonjung Kim2, Chul Hwan Park3, In Soo Kim4, Jong Youn Kim4, Pil‐Ki Min4, Young Won Yoon4, Tae Hoon Kim4, Byoung Kwon Lee4, Bum‐Kee Hong4, Se Joong Rim4, Hyuck Moon Kwon4, Kyung A. Lee2, Eui‐Young Choi4
1Department of Internal Medicine, Division of Cardiology, Kyung Hee University School of Medicine, Seoul, South Korea
2Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-Ro, Gangnam-Gu, Seoul, 06273, Republic of Korea
3Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
4Division of Cardiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-Ro, Gangnam-Gu, Seoul, 06273, Republic of Korea

Tóm tắt

Abstract Background Left atrial (LA) enlargement and dysfunction are related to clinical course in patients with hypertrophic cardiomyopathy (HCM). We aimed to investigate genetic contribution to LA structural and functional remodeling. Methods Two hundred twelve patients were consecutively enrolled, and echocardiography and extensive genetic analysis were performed. Cardiac magnetic resonance (CMR) was performed in 135 patients. Echocardiography was also performed in controls (n = 30). Results Patients with HCM had lower late-diastolic mitral annular velocity (a’) and higher LA volume index (LAVI) than controls. Patients with pathogenic or likely pathogenic sarcomere gene mutations (PSM, n = 67, 32%) had higher LAVI and lower CMR-derived LA total emptying fraction (37.0 ± 18.5 vs. 44.2 ± 12.4%, p = 0.025). In patients without AF (n = 187), the PSM had lower a’ (6.9 ± 2.0 vs. 7.8 ± 1.9 cm/s, p = 0.004) than others. The PSM had higher prevalence and amount of late gadolinium enhancement (LGE) in the left ventricle (LV). In multivariate analysis, PSM was significantly related to lower a’ independent of E/e’, LV mass index, and LAVI. However, the relation significantly attenuated after adjustment for the extent of LGE in the LV, suggesting common myopathy in the LV and LA. In addition, PSM was significantly related to lower LA total emptying fraction independent of age, E/e’, s’, LV ejection fraction, LV myocardial global longitudinal strain and %LGE mass. Conclusions PSM was related to LA dysfunction independent of LV filling pressure and LAVI, suggesting its contribution to atrial myopathy in HCM.

Từ khóa


Tài liệu tham khảo

Hinojar R, Zamorano JL, Fernandez-Mendez M, Esteban A, Plaza-Martin M, Gonzalez-Gomez A, Carbonell A, Rincon LM, Nacher JJJ, Fernandez-Golfin C. Prognostic value of left atrial function by cardiovascular magnetic resonance feature tracking in hypertrophic cardiomyopathy. Int J Cardiovasc Imaging. 2019.

Vasquez N, Ostrander BT, Lu DY, Ventoulis I, Haileselassie B, Goyal S, Greenland GV, Vakrou S, Olgin JE, Abraham TP, et al. Low left atrial strain is associated with adverse outcomes in hypertrophic cardiomyopathy patients. J Am Soc Echocardiography. 2019.

Debonnaire P, Joyce E, Hiemstra Y, Mertens Bart J, Atsma Douwe E, Schalij Martin J, Bax Jeroen J, Delgado V, Marsan Nina A. Left atrial size and function in hypertrophic cardiomyopathy patients and risk of new-onset atrial fibrillation. Circ Arrhythm Electrophysiol. 2017;10(2):e004052.

Sivalokanathan S, Zghaib T, Greenland GV, Vasquez N, Kudchadkar SM, Kontari E, Lu DY, Dolores-Cerna K, van der Geest RJ, Kamel IR, et al. Hypertrophic cardiomyopathy patients with paroxysmal atrial fibrillation have a high burden of left atrial fibrosis by cardiac magnetic resonance imaging. JACC Clinical electrophysiology. 2019;5(3):364–75.

Ko T. Left atrium as an active component of the pathophysiology in HCM. Int Heart J. 2018;59(5):906–8.

Blume GG, Mcleod CJ, Barnes ME, Seward JB, Pellikka PA, Bastiansen PM, Tsang TSM. Left atrial function: physiology, assessment, and clinical implications. Eur Heart J - Cardiovascular Imaging. 2011;12(6):421–30.

Walsh R, Buchan R, Wilk A, John S, Felkin LE, Thomson KL, Chiaw TH, Loong CC, Pua CJ, Raphael C, et al. Defining the genetic architecture of hypertrophic cardiomyopathy: re-evaluating the role of non-sarcomeric genes. Eur Heart J. 2017.

Brandon MC, Lott MT, Nguyen KC, Spolim S, Navathe SB, Baldi P, Wallace DC. MITOMAP: a human mitochondrial genome database--2004 update. Nucleic Acids Res. 2005;33(Database issue):D611–3.

Ingman M. Gyllensten U: mtDB: human mitochondrial genome database, a resource for population genetics and medical sciences. Nucleic Acids Res. 2006;34(Database issue):D749–51.

Chaitanya L, Ralf A, van Oven M, Kupiec T, Chang J, Lagace R, Kayser M. Simultaneous whole mitochondrial genome sequencing with short overlapping amplicons suitable for degraded DNA using the ion torrent personal genome machine. Hum Mutat. 2015;36(12):1236–47.

Zaragoza MV, Brandon MC, Diegoli M, Arbustini E, Wallace DC. Mitochondrial cardiomyopathies: how to identify candidate pathogenic mutations by mitochondrial DNA sequencing, MITOMASTER and phylogeny. European journal of human genetics : EJHG. 2011;19(2):200–7.

Chung H, Kim Y, Cho SM, Lee HJ, Park CH, Kim JY, Lee SH, Min PK, Yoon YW, Lee BK, et al. Differential contributions of sarcomere and mitochondria-related multigene variants to the endophenotype of hypertrophic cardiomyopathy. Mitochondrion. 2020;53:48–56.

Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics (Oxford, England). 2009;25(14):1754–60.

Yang J, Ding X, Sun X, Tsang SY, Xue H. SAMSVM: a tool for misalignment filtration of SAM-format sequences with support vector machine. J Bioinforma Comput Biol. 2015;13(6):1550025.

McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, et al. The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20(9):1297–303.

Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38(16):e164.

Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, Grody WW, Hegde M, Lyon E, Spector E, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. 2015;17(5):405–24.

Whiffin N, Minikel E, Walsh R, O'Donnell-Luria AH, Karczewski K, Ing AY, Barton PJR, Funke B, Cook SA, MacArthur D, et al. Using high-resolution variant frequencies to empower clinical genome interpretation. Genetics in medicine : official journal of the American College of Medical Genetics. 2017;19(10):1151–8.

Whiffin N, Walsh R, Govind R, Edwards M, Ahmad M, Zhang X, Tayal U, Buchan R, Midwinter W, Wilk AE, et al. CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretation. Genetics in medicine : official journal of the American College of Medical Genetics. 2018;20(10):1246–54.

Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, Flachskampf FA, Foster E, Goldstein SA, Kuznetsova T, et al. Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiography. 2015;28(1):1–39 e14.

Sasson Z, Yock PG, Hatle LK, Alderman EL, Popp RL. Doppler echocardiographic determination of the pressure gradient in hypertrophic cardiomyopathy. J Am Coll Cardiol. 1988;11(4):752–6.

Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, Pennell DJ, Rumberger JA, Ryan T, Verani MS. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A Statement for Healthcare Professionals From the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. 2002;105(4):539–42.

Park CH, Chung H, Kim Y, Kim JY, Min PK, Lee KA, Yoon YW, Kim TH, Lee BK, Hong BK, et al. Electrocardiography based prediction of hypertrophy pattern and fibrosis amount in hypertrophic cardiomyopathy: comparative study with cardiac magnetic resonance imaging. Int J Cardiovasc Imag. 2018;34(10):1619–28.

Li L, Chen X, Yin G, Yan W, Cui C, Cheng H, Lu M, Zhao S. Early detection of left atrial dysfunction assessed by CMR feature tracking in hypertensive patients. Eur Radiol. 2020;30(2):702–11.

Nakajima H, Nakajima Hisako O, Salcher O, Dittiè Andrea S, Dembowsky K, Jing S, Field Loren J. Atrial but not ventricular fibrosis in mice expressing a mutant transforming growth factor-β1 transgene in the heart. Circ Res. 2000;86(5):571–9.

Green EM, Wakimoto H, Anderson RL, Evanchik MJ, Gorham JM, Harrison BC, Henze M, Kawas R, Oslob JD, Rodriguez HM, et al. A small-molecule inhibitor of sarcomere contractility suppresses hypertrophic cardiomyopathy in mice. Science (New York, NY). 2016;351(6273):617–21.

Marian AJ, Braunwald E. Hypertrophic cardiomyopathy: genetics, pathogenesis, clinical manifestations, diagnosis, and therapy. Circ Res. 2017;121(7):749–70.

Weissler-Snir A, Adler A, Williams L, Gruner C, Rakowski H. Prevention of sudden death in hypertrophic cardiomyopathy: bridging the gaps in knowledge. Eur Heart J. 2016;38(22):1728–37.

members ATF, Elliott PM, Anastasakis A, Borger MA, Borggrefe M, Cecchi F, Charron P, Hagege AA, Lafont A, Limongelli G, et al. 2014 ESC guidelines on diagnosis and management of hypertrophic cardiomyopathy: the task force for the diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC). Eur Heart J. 2014;35(39):2733–79.

Kubo T, Kitaoka H, Okawa M, Hirota T, Hayato K, Yamasaki N, Matsumura Y, Yabe T, Takata J, Doi YL. Clinical impact of atrial fibrillation in patients with hypertrophic cardiomyopathy. Results from Kochi RYOMA study. Circulation journal : official journal of the Japanese Circulation Society. 2009;73(9):1599–605.

Guerrero JCC, Jimenez-Baena E, Martinez-Martinez A, Valle-Racero J, Francisco L-P, Lopez-Haldon J, Urbano-Moral J. REVISITING PROGNOSTIC IMPACT OF ATRIAL FIBRILLATION IN HYPERTROPHIC CARDIOMYOPATHY. 2016;67(13 Supplement):1515.

Mosqueira D, Mannhardt I, Bhagwan JR, Lis-Slimak K, Katili P, Scott E, Hassan M, Prondzynski M, Harmer SC, Tinker A, et al. CRISPR/Cas9 editing in human pluripotent stem cell-cardiomyocytes highlights arrhythmias, hypocontractility, and energy depletion as potential therapeutic targets for hypertrophic cardiomyopathy. Eur Heart J. 2018;39(43):3879–92.

Oakes Robert S, Badger Troy J, Kholmovski Eugene G, Akoum N, Burgon Nathan S, Fish Eric N, Blauer Joshua JE, Rao Swati N, DiBella Edward VR, Segerson Nathan M, et al. Detection and quantification of left atrial structural remodeling with delayed-enhancement magnetic resonance imaging in patients with atrial fibrillation. Circulation. 2009;119(13):1758–67.

Ho CY, Day SM, Ashley EA, Michels M, Pereira AC, Jacoby D, Cirino AL, Fox JC, Lakdawala NK, Ware JS, et al. Genotype and lifetime burden of disease in hypertrophic cardiomyopathy: insights from the Sarcomeric human cardiomyopathy registry (SHaRe). Circulation. 2018;138(14):1387–98.