Abstract
We recently showed more severe diastolic dysfunction at the time of myectomy in female compared to male patients with obstructive hypertrophic cardiomyopathy. Early recognition of aberrant cardiac contracility using cardiovascular magnetic resonance (CMR) imaging may identify women at risk of cardiac dysfunction. To define myocardial function at an early disease stage, we studied regional cardiac function using CMR imaging with tissue tagging in asymptomatic female gene variant carriers. CMR imaging with tissue tagging was done in 13 MYBPC3, 11 MYH7 and 6 TNNT2 gene carriers and 16 age-matched controls. Regional peak circumferential strain was derived from tissue tagging images of the basal and midventricular segments of the septum and lateral wall. Left ventricular wall thickness and global function were comparable between MYBPC3, MYH7, TNNT2 carriers and controls. MYH7 gene variant carriers showed a different strain pattern as compared to the other groups, with higher septal peak circumferential strain at the basal segments compared to the lateral wall, whereas MYBPC3, TNNT2 carriers and controls showed higher strain at the lateral wall compared to the septum. Only subtle gene-specific changes in strain pattern occur in the myocardium preceding development of cardiac hypertrophy. Overall, our study shows that there are no major contractile deficits in asymptomatic females carrying a pathogenic gene variant, which would justify the use of CMR imaging for earlier diagnosis.
Supplementary Information
The online version of this article (10.1007/s10554-020-02156-1) contains supplementary material, which is available to authorized users.
Keywords: Hypertrophic cardiomyopathy, Tissue tagging, MYBPC3, MYH7, TNNT2
Introduction
Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiomyopathy with an autosomal dominant pattern of inheritance [1]. HCM typically presents with asymmetric left ventricular hypertrophy (LVH) most frequently at the basal septum, in the absence of any abnormal loading conditions [2]. A causative gene variant (i.e. mutation) in genes encoding sarcomere proteins is identified in approximately 50–60% of all index patients (genotype-positive individuals) [3]. In the majority of patients, variants in the genes encoding thick filament proteins myosin binding protein-C (MYBPC3) and β-myosin heavy chain (MYH7) and the thin filament protein troponin T (TNNT2) are found [4]. We recently observed more severe diastolic dysfunction in female compared to male patients with obstructive hypertrophic cardiomyopathy at the time of cardiac surgery [5]. Correction of cardiac dimensions by body surface area (BSA) revealed more severe cardiac remodeling in female compared to male patients evident from a significantly higher BSA-indexed left atrial dimension and BSA-indexed septal thickness. A subsequent study in a cohort of genotype-positive subjects referred for family screening indicated that correcting maximal wall thickness for body size and applying specific cut-off values improved the predictive accuracy for HCM-related events [6]. These recent studies indicate that females may be underrepresented in HCM patient studies because of the current HCM diagnostic criterium of ≥ 15 mm LV wall thickness (≥ 13 mm in case of first-degree family members) [2], which does not take into account body size [7]. Indeed, the percentage of female patients in HCM patient cohort studies is on average 30–40% [8–10], which may be explained by lower disease penetrance, but could also imply that cardiac dysfunction remains undetected, in particular in the female HCM patient group, using cardiac remodeling, i.e. hypertrophy, rather than cardiac dysfunction as diagnostic criterium.
To detect early gene variant-related functional changes in in vivo cardiac function, studies are warranted in asymptomatic gene variant carriers without cardiac remodeling (i.e. no hypertrophy, no fibrosis, no capillary rarefaction) using advanced cardiac imaging. Here, we used cardiovascular magnetic resonance (CMR) imaging with high resolution tissue tagging to investigate if regional myocardial functional differences exist in female asymptomatic gene variant carriers who harbor common HCM gene variants in thick (MYBPC3, MYH7) and thin (TNNT2) filament genes.
Material and methods
The CMR imaging studies in this study included 30 female asymptomatic carriers with gene variants in MYBPC3 (n = 13), MYH7 (n = 11) and TNNT2 (n = 6). Gene variant carriers were included after genetic screening, classified as likely pathogenic and pathogenic (clinically graded class 4 or 5), and were first-degree relatives of index HCM patients. All gene variant carriers had a wall thickness of the LV < 13 mm (based on ESC guidelines) and were free of any systemic and/or cardiac disease and used no medication. Data from gene variant carriers were compared with data from 16 healthy female controls, who were age and gender matched. Out of the 46 study participants 4 controls, 2 MYBPC3 gene variant carriers, 4 MYH7 gene variant carriers and 2 TNNT2 gene variant carriers were interrelated. All participants underwent a CMR imaging protocol. The study conformed to the principles outlined in the Declaration of Helsinki and was approved by the Medical Ethical Committee of the VU University Medical Center Amsterdam. Written informed consent was obtained from all study participants. The STROBE checklist has been used for preparing the manuscript.
Cardiovascular magnetic resonance imaging
CMR imaging was performed using a 1.5 T whole body scanner (Avanto, Siemens, Erlangen, Germany), with a six-channel phased-array body coil. A stack of short axis cines was used for LV full coverage. Cine images were acquired in a single breath-hold using a balanced segmented steady-state free precession (SSFP) [11]. Also, 4, 3 and 2 chamber long axis SSFP cine images were obtained. From the short axis cine images LV end-diastolic and end-systolic volumes and mass were obtained. Typical image parameters were: 5 mm slice thickness with 5 mm gap between short-axis slices, temporal resolution < 50 ms, repetition time 3.2 ms, echo time 1.54 ms, flip angle 60°, and typical image resolution 1.3 × 1.6 mm.
For regional function assessment, myocardial tissue tagging imaging was performed using a multiple breath-hold, retrospectively triggered SSFP myocardial tissue tagging sequence with the linearly increasing start-up approach [12]. See Fig. 1. Two short axis planes were positioned at 25 and 50 percent of the distance between the mitral valve annulus and the apex (Fig. 2a). Image parameters were: 7 mm slice thickness, temporal resolution 14 ms, repetition time 4.7 ms, echo time 2.3 ms, flip angle 20°, and in-plane image resolution of 1.2 by 3.8 mm, with 7 mm tag spacing.
Fig. 1.
SSFP Myocardial tissue tagging. a At end-diastole, a line tagging grid is applied. The myocardium is delineated by the epicardial (green circle) and endocardial (red circle) contours. b As the taglines are a temporary property of the myocardium, deformation (strain) can be depicted and quantified by this method, as illustrated by this end-systolic image
Fig. 2.
Long and short axis images of the left ventricle. a Schematic image of a long axis of the left ventricle. Depicted are the two positions of the basal (25%) and midventricular (50%) levels where myocardial tissue tagging was applied. b Four septal segments (two anteroseptal and two inferoseptal) were compared to the four lateral segments (two anterolateral and two inferolateral) at basal and midventricular level c Schematic image of global peak longitudinal strain. At basal and midventricular level, end-diastolic wall thickness (h) and peak circumferential strain (pCS) were measured according to the 17 segment AHA classification. d Representative peak circumferential strain curves of one healthy control subject, one MYBPC3, one MYH7 and one TNNT2 gene variant carrier are shown. The red curves indicate the septum. The blue curves indicate the lateral wall
Late Gadolinium enhancement images were obtained 10 min after injection of 0.2 mmol/kg Gadolinium-DTPA. An inversion recovery Fast low angle shot sequence was used to obtain images with 6 mm slice thickness planned in the same orientation as the long and short axis cines.
Post processing
LV volumes and mass analysis were performed by a single investigator, using Circle CVi42, Calgary, Canada. Endocardial contours were drawn to calculate LV end-diastolic (LVEDV) and end-systolic volumes (LVESV) and ejection fraction (LVEF). Epicardial contours were added to calculate LV end-diastolic wall thickness and LV mass. Papillary muscles were included in LV volumes and excluded from LV mass. LV end-diastolic, end-systolic volumes and LV mass were indexed for body surface area. End-diastolic wall thickness at the septum and lateral wall were derived from respectively the mean of four septal (anteroseptal and inferoseptal) and lateral segments (anterolateral and inferolateral) at the basal and midventricular level.
Circumferential strain analysis was obtained from the 50% mid myocardial layer from tissue tagging cines (Fig. 2b), using Intag software (CREATIS, Lyon, France), and has been reported to be most reproducible [13, 14]. LV segmentation was performed according to the 17 segment AHA model [15]. From this analysis, peak circumferential strain and peak diastolic circumferential strain rate per segment were obtained. The four septal segments (at basal and midventricular level antero- and inferoseptal segments) were compared with the four lateral segments (at basal and midventricular level antero- and inferolateral segments) (Fig. 2b). Representative peak circumferential strain curves of 1 healthy control subject and 3 gene variant carriers are shown in Fig. 2d (red curves indicate the septum and blue curves indicate the lateral wall). Global longitudinal strain was obtained from the 4, 3 and 2 chamber long axis cines with tissue tracking using CVi 42 software (Circle Cardiovascular Imaging, Calgary, Canada) (Fig. 2c).
Statistical analysis
Statistical analysis was performed using SPSS software (version 22.0; SPSS, Chicago, IL, USA). Normality of data was inspected visually by means of QQ-plots. Means of continuous demographic and outcome variables were compared between gene variant carrier groups using ANOVA with a Bonferroni post-hoc analysis after normality was verified. Exact chi-square test was used for categorical demographic variables. A mixed model analyses was used to test whether regional differences in mean wall thickness and peak circumferential strain differed between gene variant carriers groups and controls. The model included fixed effects for gene variant group, region (septal or lateral) and their two-way interaction and a random effect for subject. In case of a significant two-way interaction, post-hoc analysis with Bonferroni correction were performed to test for regional differences within each gene variant carrier and control group separately. As two separate statistical tests were performed for basal and midventricular segments a two-sided significance level of 0.05/2 was used for all statistical tests to account for multiple testing. For baseline characteristics a significance level of < 0.05 was used.
Results
Table 1 summarizes genetic and clinical parameters of all study participants. Overall, controls and carriers were of similar age and had similar BSA. No differences were present in cardiac function (ejection fraction, stroke volume) and left ventricular mass between controls and carrier groups. LVEDV and LVESV in TNNT2 group were significantly smaller than in MYBPC3, but similar to controls and MYH7 (Table 1). None of the gene variant carriers and controls showed contrast enhanced myocardial areas.
Table 1.
Demographics and left ventricular parameters
| Controls (n = 16) | MYBPC3 carriers (n = 13) | MYH7 carriers (n = 11) | TNNT2 carriers (n = 6) | |
|---|---|---|---|---|
| Genotype | No genotype | c.2373dupG (n = 13) | c.4130C > T (n = 5) | c.304C > T (n = 3) |
| c.5135G > A (n = 2) | c.856C > T (n = 1) | |||
| c.1207C > T (n = 3) | c.403C > T (n = 1) | |||
| c.1727A > G (n = 1) | c.277G > A (n = 1) | |||
| Age | 44 ± 12 | 37 ± 14 | 38 ± 14 | 43 ± 15 |
| BSA (m2) | 1.80 ± 0.09 | 1.73 ± 0.11 | 1.78 ± 0.17 | 1.77 ± 0.19 |
| LVEDV (ml·m−2) | 75.8 ± 10.2 | 83.6 ± 7.3 | 79.6 ± 8.9 | 69.6 ± 15.5* |
| LVESV (ml·m−2) | 25.1 ± 4.9 | 28.4 ± 5.8 | 26.2 ± 4.4 | 19.8 ± 5.1* |
| SV (ml·m−2) | 50 ± 8 | 55 ± 9 | 53 ± 8 | 50 ± 11 |
| LV mass (g·m−2) | 36.8 ± 6.5 | 55.1 ± 9.3 | 53.3 ± 7.6 | 49.8 ± 11.3 |
Data are presented as mean ± standard deviation. MYBPC3 myosin binding protein C gene, MYH7 myosin heavy chain gene, TNNT2 troponin T gene. BSA body surface area, LVEF left ventricular ejection fraction, SV stroke volume. *p < 0.05 versus MYBPC3
Regional anatomical parameters
End-diastolic wall thickness of basal and midventricular segments of the septum and lateral wall were comparable between MYBPC3, MYH7 and TNNT2 groups and controls (Table 2). In addition, septal-to-lateral wall thickness (S/L) ratio of basal and midventricular segments of the septum and lateral wall were comparable between gene variant carrier groups and controls (Table 2).
Table 2.
Regional anatomical differences between gene variant carriers and controls
| Controls (n = 16) | MYBPC3 carriers (n = 13) | MYH7 carriers (n = 11) | TNNT2 carriers (n = 6) | |
|---|---|---|---|---|
| Basal level | ||||
| Septum | ||||
| EDWT (mm) | 5.9 ± 0.5 | 5.7 ± 1.0 | 5.2 ± 0.9 | 5.2 ± 1.3 |
| EDWT (mm·m−2) | 3.3 ± 0.4 | 3.3 ± 0.5 | 2.9 ± 0.5 | 2.9 ± 0.4 |
| Lateral wall | ||||
| EDWT (mm) | 5.6 ± 0.7 | 5.3 ± 0.7 | 5.4 ± 0.7 | 5.5 ± 1.2 |
| EDWT (mm·m−2) | 3.1 ± 0.4 | 3.1 ± 0.4 | 3.0 ± 0.3 | 3.1 ± 0.6 |
| S/L ratio | 1.17 ± 0.1 | 1.1 ± 0.2 | 1.0 ± 0.1 | 1.0 ± 0.3 |
| Midventricular level | ||||
| Septum | ||||
| EDWT wall (mm) | 5.4 ± 0.7 | 5.1 ± 0.9 | 5.3 ± 1.0 | 5.5 ± 1.3 |
| EDWT (mm·m−2) | 3.3 ± 0.4 | 3.3 ± 0.5 | 2.9 ± 0.5 | 2.9 ± 0.4 |
| Lateral wall | ||||
| EDWT (mm) | 4.6 ± 0.6 | 4.2 ± 0.5 | 4.3 ± 0.6 | 4.1 ± 0.6 |
| EDWT (mm·m−2) | 3.1 ± 0.4 | 3.1 ± 0.4 | 3.0 ± 0.3 | 3.1 ± 0.6 |
| S/L ratio | 1.2 ± 0.1 | 1.2 ± 0.2 | 1.2 ± 0.2 | 1.2 ± 0.1 |
Data are presented as mean ± standard deviation. EDWT: end-diastolic wall thickness; S/L: septum-to-lateral wall thickness. MYBPC3: myosin binding protein C gene; MYH7: myosin heavy chain gene; TNNT2: troponin T gene. None of the comparisons reached significance
Regional functional parameters
Global longitudinal strain was similar between MYBPC3, MYH7 and TNNT2 gene variant carriers (− 21.5 ± 2.2, − 23.0 ± 1.9 and − 22.0 ± 3.1%, respectively) and controls (− 21.4 ± 2.0%). Analysis of peak circumferential strain showed higher strain for the lateral segments compared to septal segments, both at basal and midventricular level, with significant differences between the septum and lateral segments at basal level in the MYBPC3, TNNT2 gene variant carriers and controls (Fig. 2a, Table S1). Overall, this regional (septum vs. lateral wall) difference was observed in all gene variant carrier groups and controls, except for the MYH7 gene variant group at basal level which showed an opposite pattern with a higher strain in the septum than in the lateral segments (Fig. 3a, Table S1). The difference in peak circumferential strain between septal and lateral segments was calculated per individual and is depicted in Fig. 3b. The delta (difference between septum and lateral wall) is similar in all groups, except for the MYH7 gene variant group at basal level. The value in the MYH7 gene variant group is significantly different from the value observed in the MYBPC3 group and controls (Fig. 3b). Peak diastolic circumferential strain rate of the basal and midventricular segments of the septum and lateral wall were comparable between gene variant carrier groups and controls (Table S2).
Fig. 3.
Regional functional differences between gene variant carriers and controls. a The mean of peak circumferential strain of two septal or lateral segments at the basal and midventricular level, and b the mean of the difference in peak circumferential strain between septum and lateral wall at basal and midventricular level. Data are presented as mean with standard deviation.*p < 0.025 septum vs. lateral wall
Discussion
Our case–control study in preclinical female variant carriers using state-of-the-art cardiac imaging shows a subtle change in cardiac function only in individuals with a MYH7 gene variant. Previous studies reported myocardial alterations in asymptomatic gene variant carriers, although these studies did not specify genotype or sex (summarized in Table 3) [16–31]. These alterations include differences in anatomical and functional level, such as as the amount fibrotic tissue or number of clefts in the myocardium and different length of the anterior mitral valve leaflet [16, 20–28], and a higher LV ejection fraction and torsion and altered myocardial metabolism [17–19, 29–31].
Table 3.
Anatomic and functional changes reported in gene variant carriers
| Genes | Number of gene variant carriers (male/female) | Reference | |
|---|---|---|---|
| Anatomic changes | |||
| Not defined | 15 (10/5) | Gene variant carriers showed a limited amount of fibrosis on CMR imaging compared with overt HCM and therefore seemed closely linked to disease development in HCM | Moon et al. [20] |
| MYBPC3 and TPM1 | 16 (not defined) | Profound crypts in the inferoseptum in gene variant carriers | Germans et al. [21] |
| MYBPC3 and TPM1 | 43 (not defined) | Crypts in gene variant carriers showed deeper penetrance than controls | Brouwer et al. [22] |
| Not defined | 20 (not defined) | No structural abnormalities described (crypts) In gene variant carriers compared with controls | Petryka et al. [23] |
| MYBPC3 (15), MYH7 (7), TNNT2 (3), MYL2 (2), TPM1 (1), multiple genes (2) | 30 (9/21) | Prevalence of an accessory LV apical-basal muscle bundle in gene variant carriers was significantly higher than in control subjects | Gruner et al. [24] |
| MYBPC3 (18), MYH7 (7), TNNT2 (4), TNNI3 (7), ACTC1 (2), multiple genes (1) | 39 (15/24) | Increased apical LV trabecular complexity, higher amount of myocardial clefts and a higher LV ejection fraction in gene variant carriers compared to healthy subjects | Captur et al. [25] |
| MYBPC3 (31), MYH7 (23), TNNT2 (7), TNNI3 (9), ACTC1 (3), MYL3 (1) | 73 (37/36/ 1 unknown) | The combined presence of ≥ 2 myocardial crypts, ≥ 21 mm anterior mitral valve leaflet length, increased LV apical trabecular complexity and smaller LV end-systolic volume is indicative of gene variant carriers. MYBPC3 gene variant carriers have a twofold prevalence of crypts and less LV systolic cavity reduction compared to the other gene variant carriers with other than MYBPC3 gene variants | Captur et al. [16] |
| MYBPC3 (16), MYH7 (6), TNNT2 (4), TNNI3 (7), ACTC1 (2), multiple genes (1) | 36 (12/24) | Although within normal values, septal wall thickness was higher in gene variant carriers compared to controls. Additionally, gene variant carriers were reported to have a higher amount of myocardial crypts, increase in septal convexity, longer anterior mitral valve leaflet and a smaller LV end-systolic volume than healthy controls. Comparisons between thick and thin filament affected gene variant carriers revealed a greater septal convexity in thick filament gene variant carriers | Reant et al. [26] |
| MYBPC3 | 47 (3/44) | No differences in length of posterior mitral valve leaflet were detected compared to healthy controls | Tarkiainen et al. [27] |
| MYBPC3 (13), MYH7 (12), TNNT2 (2), TNNI (1) | 28 (3/25) | Extracellular volume was higher in gene variant carriers compared with healthy controls | Hiremath et al. [28] |
| Functional changes | |||
| MYBPC3 (15), MYH7 (19),TNNT2 (5) | 39 (16/23) | Gene variant carriers revealed increased myocardial collagen synthesis evident from elevated levels of serum pro-peptide of type I collage (PICP) compared with controls. This increase was significantly higher in MYH7 than MYBPC3 gene variant carriers which agreed with a larger reduction in diastolic dysfunction in MYH7 than MYBPC3 gene variant carriers | Ho et al. [17] |
| MYBPC3 (22), TPM1 (6) | 28 (11/17) | Septal to lateral-ratio was larger in gene variant carriers compared to controls. Contractility was higher in basal inferolateral segments than in controls. While controls revealed a significant difference in contractile function between septal and lateral, this was blunted in gene variant carriers. Gene variant carriers showed lower diastolic function compared with controls, pronounced at basal slice of the LV | Germans et al. [29] |
| MYBPC3 (13), TPM1 (4) | 17 (5/12) | Increased LV ejection fraction, torsion and the ratio of peak LV torsion to peak endocardial circumferential shortening (TECS-ratio) in gene variant carriers than healthy controls | Russel et al. [30] |
| MYBPC3 | 15 | As in healthy controls, MYBPC3 gene variant carriers also revealed a heterogeneous contraction pattern between anterior and lateral region. There were no differences in contractile function between MYBPC3 gene variant carriers and controls. Gene variant carriers revealed impaired myocardial energetics compared with controls | Timmer et al. [18] |
| MYBPC3 (14), MYH7 (12), TNNT2 (3) | 29 (17/12) | Extracellular volume (ECV) was increased in the absence of focal fibrosis detected on CMR imaging in gene variant carriers compared to controls. There were no differences observed in ECV between MYBPC3 and MYH7 gene variant carriers | Ho et al. [31] |
| MYBPC3 (14), MYH7 (14) | 28 (7/19) | MYH7 gene variant carriers revealed lower external work and myocardial external efficiency (MEE) than MYBPC3 gene variant carriers. MEE was lower in gene variant carriers compared to healthy controls | Witjas-Paalberends et al. [19] |
Strain measurements in asymptomatic carriers harboring thick filament gene variants, demonstrated comparable global and regional systolic strain as observerd in healthy controls [32]. A sub-analysis in the latter study comparing 35 MYH7 with 24 MYBPC3 gene variant carriers revealed a younger study population and higher peak longitudinal strain in MYH7 compared to MYBPC3 gene variant carriers [32]. While Ho et al. have not specified the mechanism in the higher global longitudinal stain in MYH7 gene carriers [32], it may be speculated that a higher systolic strain at a regional level may explain this observation.
A previous study from our group investigating the effect of thick and thin filament gene variants (MYH7 and MYBPC3) associated with HCM on human cardiac myofilament function, demonstrated significantly higher tension cost, i.e. the amount of energy used during force development, in MYH7 compared to MYBPC3 [19], which coincided with a larger reduction in in vivo myocardial external efficiency compared to the control group in MYH7 than in MYBPC3 carriers. Follow-up studies showed that the reduction in myocardial external efficiency is present in individuals with thick and thin filament gene variants, and is explained by an increased cardiac oxygen consumption rather than altered contractile properties [33, 34]. The present study shows a subtle change in the contraction pattern in preclinical female MYH7 carriers, which was not seen in MYBPC3 carriers. While this subtle change in MYH7 carriers may in part explain the gene-specific difference in cardiac efficiency [19], the current and previous studies [20, 34] indicate that changes in energy consumption (i.e. increased oxygen consumption) rather than perturbations in (regional) contractile properties of the heart muscle characterize the very early disease stage of HCM.
With respect to gene variant-specific in vitro findings, functional properties of sarcomeres affected by thick-filament gene variants, obtained from tissue of HCM patients who underwent septal myectomy, revealed lower maximal force production in cardiac muscle strips containing MYH7 gene variants than in tissue with MYBPC3 gene variants [19]. Additionally, compared to tissue from genotype mutation-negative HCM patients, MYH7 affected sarcomere gene variants revealed increased kinetics of tension development [35, 36]. Also, as HCM is most frequently inherited through a heterogeneous manner, allelic transcription, which occurs in a stochastic manner, may lead to variable expression of healthy and mutant proteins [37, 38] and may cause inhomogeneous contraction and relaxation. On in vivo cardiac imaging, this may lead to an increase in regional circumferential strain as seen in our study cohort and longitudinal strain observed in previous work [32]. However, the step from in vitro sarcomere function to in vivo circumferential strain imaging may be too large, since the effect of extracellular volume in the myocardium and myofiber disarray are challenging to take into account in in vitro experiments.
Limitations
The number of recruited carriers were limited, therefore, very subtle functional differences may have remained undetected. However, myocardial tissue tagging is a robust and sensitive method to evaluate regional function, and therefore the clinical value of subtle differences not detected with the method with these number of carriers is limited. In addition, controls were not genotyped. There is a small chance that within this group op controls, unidentified carriers were present.
Conclusions
Overall, CMR combined with tissue tagging detects subtle gene-specific regional differences in contractility. However, assessment of regional contraction by CMR tissue tagging currently does not aid in the identification of early cardiac disease changes in the preclinical genotype-positive population. Moreover, our study shows that there are no major contractile deficits in asymptomatic females carrying a pathogenic gene variant, which would justify the use of CMR imaging for earlier diagnosis.
Supplementary Information
Below is the link to the electronic supplementary material.
Electronic supplementary material 1 (DOCX 35 kb)
Acknowledgments
We thank Peter van der Ven for his statistical analysis.
Abbreviations
- CMR
Cardiovascular magnetic resonance
- HCM
Hypertrophic cardiomyopathy
- LVEF
Left ventricular ejection fraction
- LVH
Left ventricular hypertrophy
- MYBPC3
Myosin binding protein-C gene
- MYH7
β-Myosin heavy chain gene
- TNNT2
Troponin T gene
Funding
We acknowledge support from the Netherlands Cardiovascular Research Initiative: An initiative supported by the Dutch Heart Foundation, CVON2014-40 DOSIS and NWO (VICI 91818602).
Compliance with ethical standards
Conflicts of interest
The authors declare that they have no conflict of interest.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Semsarian C, et al. New perspectives on the prevalence of hypertrophic cardiomyopathy. J Am Coll Cardiol. 2015;65(12):1249–1254. doi: 10.1016/j.jacc.2015.01.019. [DOI] [PubMed] [Google Scholar]
- 2.Elliott PM, 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):2733–2779. doi: 10.1093/eurheartj/ehu284. [DOI] [PubMed] [Google Scholar]
- 3.Ho CY, et al. Genetic advances in sarcomeric cardiomyopathies: state of the art. Cardiovasc Res. 2015;105(4):397–408. doi: 10.1093/cvr/cvv025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Girolami F, et al. A molecular screening strategy based on beta-myosin heavy chain, cardiac myosin binding protein C and troponin T genes in Italian patients with hypertrophic cardiomyopathy. J Cardiovasc Med (Hagerstown) 2006;7(8):601–607. doi: 10.2459/01.JCM.0000237908.26377.d6. [DOI] [PubMed] [Google Scholar]
- 5.Nijenkamp L, et al. Sex differences at the time of myectomy in hypertrophic cardiomyopathy. Circ Heart Fail. 2018;11(6):e004133. doi: 10.1161/CIRCHEARTFAILURE.117.004133. [DOI] [PubMed] [Google Scholar]
- 6.Huurman R, et al. Effect of body surface area and gender on wall thickness thresholds in hypertrophic cardiomyopathy. Neth Heart J. 2020;28(1):37–43. doi: 10.1007/s12471-019-01349-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.van Driel B, et al. Sex differences in hypertrophic cardiomyopathy: new insights. Curr Opin Cardiol. 2019;34(3):254–259. doi: 10.1097/HCO.0000000000000612. [DOI] [PubMed] [Google Scholar]
- 8.Olivotto I, et al. Gender-related differences in the clinical presentation and outcome of hypertrophic cardiomyopathy. J Am Coll Cardiol. 2005;46(3):480–487. doi: 10.1016/j.jacc.2005.04.043. [DOI] [PubMed] [Google Scholar]
- 9.Kubo T, et al. Gender-specific differences in the clinical features of hypertrophic cardiomyopathy in a community-based Japanese population: results from Kochi RYOMA study. J Cardiol. 2010;56(3):314–319. doi: 10.1016/j.jjcc.2010.07.004. [DOI] [PubMed] [Google Scholar]
- 10.Marstrand P, et al. Hypertrophic cardiomyopathy with left ventricular systolic dysfunction: insights from the SHaRe Registry. Circulation. 2020;141(17):1371–1383. doi: 10.1161/CIRCULATIONAHA.119.044366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Marcus JT, et al. The influence of through-plane motion on left ventricular volumes measured by magnetic resonance imaging: implications for image acquisition and analysis. J Cardiovasc Magn Reson. 1999;1(1):1–6. doi: 10.3109/10976649909080828. [DOI] [PubMed] [Google Scholar]
- 12.Zwanenburg JJ, et al. Steady-state free precession with myocardial tagging: CSPAMM in a single breathhold. Magn Reson Med. 2003;49(4):722–730. doi: 10.1002/mrm.10422. [DOI] [PubMed] [Google Scholar]
- 13.Creatis, inTag, CMRSegTools and CMRDiffTools. A suite of tools for analysing cardiac MR images
- 14.Swoboda PP, et al. Reproducibility of myocardial strain and left ventricular twist measured using complementary spatial modulation of magnetization. J Magn Reson Imaging. 2014;39(4):887–894. doi: 10.1002/jmri.24223. [DOI] [PubMed] [Google Scholar]
- 15.Cerqueira MD, et al. 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. Circulation. 2002;105(4):539–542. doi: 10.1161/hc0402.102975. [DOI] [PubMed] [Google Scholar]
- 16.Captur G, et al. Prediction of sarcomere mutations in subclinical hypertrophic cardiomyopathy. Circ Cardiovasc Imaging. 2014;7(6):863–871. doi: 10.1161/CIRCIMAGING.114.002411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ho CY, et al. Myocardial fibrosis as an early manifestation of hypertrophic cardiomyopathy. N Engl J Med. 2010;363(6):552–563. doi: 10.1056/NEJMoa1002659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Timmer SA, et al. Carriers of the hypertrophic cardiomyopathy MYBPC3 mutation are characterized by reduced myocardial efficiency in the absence of hypertrophy and microvascular dysfunction. Eur J Heart Fail. 2011;13(12):1283–1289. doi: 10.1093/eurjhf/hfr135. [DOI] [PubMed] [Google Scholar]
- 19.Witjas-Paalberends ER, et al. Gene-specific increase in the energetic cost of contraction in hypertrophic cardiomyopathy caused by thick filament mutations. Cardiovasc Res. 2014;103(2):248–257. doi: 10.1093/cvr/cvu127. [DOI] [PubMed] [Google Scholar]
- 20.Moon JC, et al. Myocardial late gadolinium enhancement cardiovascular magnetic resonance in hypertrophic cardiomyopathy caused by mutations in troponin I. Heart. 2005;91(8):1036–1040. doi: 10.1136/hrt.2004.041384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Germans T, et al. Structural abnormalities of the inferoseptal left ventricular wall detected by cardiac magnetic resonance imaging in carriers of hypertrophic cardiomyopathy mutations. J Am Coll Cardiol. 2006;48(12):2518–2523. doi: 10.1016/j.jacc.2006.08.036. [DOI] [PubMed] [Google Scholar]
- 22.Brouwer WP, et al. Multiple myocardial crypts on modified long-axis view are a specific finding in pre-hypertrophic HCM mutation carriers. Eur Heart J Cardiovasc Imaging. 2012;13(4):292–297. doi: 10.1093/ehjci/jes005. [DOI] [PubMed] [Google Scholar]
- 23.Petryka J, et al. Prevalence of inferobasal myocardial crypts among patients referred for cardiovascular magnetic resonance. Circ Cardiovasc Imaging. 2014;7(2):259–264. doi: 10.1161/CIRCIMAGING.113.001241. [DOI] [PubMed] [Google Scholar]
- 24.Gruner C, et al. Significance of left ventricular apical-basal muscle bundle identified by cardiovascular magnetic resonance imaging in patients with hypertrophic cardiomyopathy. Eur Heart J. 2014;35(39):2706–2713. doi: 10.1093/eurheartj/ehu154. [DOI] [PubMed] [Google Scholar]
- 25.Captur G, et al. Abnormal cardiac formation in hypertrophic cardiomyopathy: fractal analysis of trabeculae and preclinical gene expression. Circ Cardiovasc Genet. 2014;7(3):241–248. doi: 10.1161/CIRCGENETICS.113.000362. [DOI] [PubMed] [Google Scholar]
- 26.Reant P, et al. Abnormal septal convexity into the left ventricle occurs in subclinical hypertrophic cardiomyopathy. J Cardiovasc Magn Reson. 2015;17:64. doi: 10.1186/s12968-015-0160-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Tarkiainen M, et al. Cardiovascular magnetic resonance of mitral valve length in hypertrophic cardiomyopathy. J Cardiovasc Magn Reson. 2016;18(1):33. doi: 10.1186/s12968-016-0250-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hiremath P, et al. Ultrasonic assessment of myocardial microstructure in hypertrophic cardiomyopathy sarcomere mutation carriers with and without left ventricular hypertrophy. Circ Heart Fail. 2016;9(9):e003026. doi: 10.1161/CIRCHEARTFAILURE.116.003026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Germans T, et al. How do hypertrophic cardiomyopathy mutations affect myocardial function in carriers with normal wall thickness? Assessment with cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2010;12:13. doi: 10.1186/1532-429X-12-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Russel IK, et al. Increased left ventricular torsion in hypertrophic cardiomyopathy mutation carriers with normal wall thickness. J Cardiovasc Magn Reson. 2011;13:3. doi: 10.1186/1532-429X-13-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ho CY, et al. T1 measurements identify extracellular volume expansion in hypertrophic cardiomyopathy sarcomere mutation carriers with and without left ventricular hypertrophy. Circ Cardiovasc Imaging. 2013;6(3):415–422. doi: 10.1161/CIRCIMAGING.112.000333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ho CY, et al. Echocardiographic strain imaging to assess early and late consequences of sarcomere mutations in hypertrophic cardiomyopathy. Circ Cardiovasc Genet. 2009;2(4):314–321. doi: 10.1161/CIRCGENETICS.109.862128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Guclu A, et al. Disease stage-dependent changes in cardiac contractile performance and oxygen utilization underlie reduced myocardial efficiency in human inherited hypertrophic cardiomyopathy. Circ Cardiovasc Imaging. 2017;10(5):e005604. doi: 10.1161/CIRCIMAGING.116.005604. [DOI] [PubMed] [Google Scholar]
- 34.Parbhudayal RY, et al. Increased myocardial oxygen consumption precedes contractile dysfunction in hypertrophic cardiomyopathy caused by pathogenic TNNT2 gene variants. J Am Heart Assoc. 2020;9(8):e015316. doi: 10.1161/JAHA.119.015316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Tyska MJ, et al. Single-molecule mechanics of R403Q cardiac myosin isolated from the mouse model of familial hypertrophic cardiomyopathy. Circ Res. 2000;86(7):737–744. doi: 10.1161/01.RES.86.7.737. [DOI] [PubMed] [Google Scholar]
- 36.Belus A, et al. The familial hypertrophic cardiomyopathy-associated myosin mutation R403Q accelerates tension generation and relaxation of human cardiac myofibrils. J Physiol. 2008;586(15):3639–3644. doi: 10.1113/jphysiol.2008.155952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kraft T, et al. Hypertrophic cardiomyopathy: cell-to-cell imbalance in gene expression and contraction force as trigger for disease phenotype development. Circ Res. 2016;119(9):992–995. doi: 10.1161/CIRCRESAHA.116.309804. [DOI] [PubMed] [Google Scholar]
- 38.Parbhudayal RY, et al. Variable cardiac myosin binding protein-C expression in the myofilaments due to MYBPC3 mutations in hypertrophic cardiomyopathy. J Mol Cell Cardiol. 2018;123:59–63. doi: 10.1016/j.yjmcc.2018.08.023. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Electronic supplementary material 1 (DOCX 35 kb)



