Abstract
Prolonged tachycardia—a risk factor for cardiovascular morbidity and mortality—can induce cardiomyopathy in the absence of structural disease in the heart. Here, by leveraging human patient data, a canine model of tachycardia and engineered heart tissue generated from human induced pluripotent stem cells, we show that metabolic rewiring during tachycardia drives contractile dysfunction by promoting tissue hypoxia, elevated glucose utilization and the suppression of oxidative phosphorylation. Mechanistically, a metabolic shift towards anaerobic glycolysis disrupts the redox balance of nicotinamide adenine dinucleotide (NAD), resulting in increased global protein acetylation (and in particular the acetylation of sarcoplasmic/endoplasmic reticulum Ca2+-ATPase), a molecular signature of heart failure. Restoration of NAD redox by NAD+ supplementation reduced sarcoplasmic/endoplasmic reticulum Ca2+-ATPase acetylation and accelerated the functional recovery of the engineered heart tissue after tachycardia. Understanding how metabolic rewiring drives tachycardia-induced cardiomyopathy opens up opportunities for therapeutic intervention.
Heart rate plays a critical role in cardiac pathophysiology. Elevated resting heart rate, for instance, is closely associated with increased cardiovascular risk in patients with pre-existing heart disease1. An increase in the resting heart rate by 10 beats per minute (bpm) raises the incidence of heart failure (HF) by 13–16% in a healthy cohort over a study period of 14 years (ref. 2). Lowering the resting heart rate using ivabradine improved the prognosis of patients with chronic HF, with a strong correlation between the benefits of the treatment and the reduction of heart rate3. It is increasingly recognized that heart rate may not only serve as an essential biological indicator for cardiac health but also an independent risk factor that modifies cardiac pathophysiology4,5.
In a more aggressive form, an increased heart rate is sufficient to cause rapid deterioration of cardiac health. Specifically, prolonged tachycardia alone can lead to ventricular dysfunction in patients who have no prior structural heart disease in as fast as several days6, a condition termed tachycardia-induced cardiomyopathy (TIC). TIC is often driven by primary arrhythmias such as atrial fibrillation, atrial flutter, atrial tachycardia and ventricular tachyarrhythmias7. In some cases, sinus tachycardia has also been reported to cause TIC8–11. Upon normalization of heart rate, TIC can be partially or fully reversed in weeks or months, typically marked by a considerable improvement in ejection fraction. However, subtle and persistent damages after recovery have also been reported in patients with TIC12,13. A recent analysis of biopsies from patients with TIC revealed increased mitochondrial abnormality and tissue fibrosis12. Furthermore, the recovery time may also be substantially longer for patients with relapsed TIC14. The overall prevalence of TIC is unknown but probably underdiagnosed15. It was estimated that 25–75% of patients with atrial fibrillation and left ventricular (LV) dysfunction may have some degree of TIC16,17.
Chronic tachypacing in large animals (for example, dogs) is a valuable model widely used to elucidate the pathogenesis of tachycardia-mediated cardiac dysfunction18–20. Several mechanisms have been proposed so far, including reduced myocardial energy reserve21,22, increased oxidative stress23,24, abnormal calcium handling25,26, metabolic disorder27 and reduced coronary flow28,29. Yet our understanding of TIC is still far from complete. In particular, the molecular drivers underlying the reversible contractile dysfunction in TIC remain elusive. This gap in our knowledge presents an obstacle to the development of therapeutics for patients with persistent tachyarrhythmias or elevated resting heart rates.
In this Article, we unveil a central role of metabolic remodelling in the pathological progression of tachycardia-induced contractile dysfunction by integrating human patient data, a canine model of tachypacing-induced HF and an engineered heart tissue (EHT) model of tachycardia. Our data indicate that tachycardia promotes tissue hypoxia and substantially increases glucose utilization. In the short term, this metabolic shift towards anaerobic glycolysis disrupts nicotinamide adenine dinucleotide (NAD) homeostasis, leading to increased global protein acetylation, a molecular signature of HF previously reported in mouse and patient samples30,31. We identified sarcoplasmic/endoplasmic reticulum Ca2+-ATPase (SERCA2a) acetylation as a molecular driver of tachycardia-induced contractile dysfunction. In the long term, chronic tachycardia promotes the downregulation of oxidative phosphorylation (OXPHOS), fatty acid oxidation and the tricarboxylic acid (TCA) cycle, further reinforcing the metabolic reliance on anaerobic glycolysis and exacerbates the impairment of NAD redox balance. Collectively, these results help us dissect the complex role of tachycardia in cardiac pathophysiology.
Results
Tachycardia downregulates OXPHOS, TCA cycle and fatty acid oxidation
To elucidate the effect of tachycardia on the human heart, we first analysed transcriptomic data from patients with HF (n = 16), patients with HF and tachycardia (n = 19) and patients without HF (n = 14) (ref. 32). Specifically, we performed pathway enrichment analysis of genes exclusively downregulated in patients with tachycardia (Fig. 1a, Extended Data Fig. 1a,b and Supplementary Fig. 1). This analysis revealed that tachycardia is associated with the downregulation of OXPHOS genes such as NADH:ubiquinone oxidoreductase subunit AB1 (NDUFAB1), subunit B3 (NDUFB3), subunit B4 (NDUFB4) and subunit C1 (NDUFC1) (Fig. 1b); the downregulation of TCA cycle genes such as pyruvate dehydrogenase E1 subunit beta (PDHB), succinate dehydrogenase complex iron sulfur subunit B (SDHB), succinate-CoA ligase GDP/ADP-forming subunit alpha (SUCLG1) and isocitrate dehydrogenase (NAD(+)) 3 catalytic subunit alpha (IDH3A) (Fig. 1c); and the downregulation of fatty acid oxidation genes such as acyl-CoA synthetase long chain family member 1 (ACSL1), fatty acid binding protein 3 (FABP3), methylmalonyl-CoA epimerase (MCEE) and cytochrome c1 (CYC1) (Fig. 1d).
To understand whether these changes are driven by or merely associated with tachycardia, we analysed a public dataset from canine model of tachypacing-induced HF33 (Fig. 2a). In this model of tachycardia, dogs were tachypaced at 240 bpm continuously for up to 4 weeks to induce HF. Left ventricle tissue was used for microarray analysis. Myocardial samples taken before the initiation of pacing were used as the control33. This pure model of tachycardia eliminates confounding factors from pre-existing heart disease. Consistent with the human data, chronic tachycardia in dogs also resulted in the downregulation of OXPHOS genes such as NDUFAB1, NDUFB3, NADH:ubiquinone oxidoreductase core subunit V2 (NDUFV2) and subunit A2 (NDUFA2); the downregulation of TCA cycle genes such as PDHB, SDHB, succinate-CoA ligase ADP-forming subunit beta (SUCLA2) and aconitase 2 (ACO2); and the downregulation of fatty acid oxidation genes such as ACSL1, hydroxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit alpha (HADHA), subunit beta (HADHB) and enoyl-CoA hydratase short chain 1 (ECHS1) (Fig. 2b–d). Furthermore, western blot analysis of tachypaced canine hearts showed a consistent trend at the protein level (Fig. 2e). In particular, mitochondrial complexes I, II, IV and V were downregulated by tachycardia, with complex IV having the most substantial reduction (~40% decrease). Notably, these data are consistent with previous canine tachycardia studies, which reported the shift in metabolic substrate from fatty acids to glucose in the heart27,33. Together, these results cohesively suggest that tachycardia alone is sufficient to drive adverse metabolic remodelling. However, it is unclear whether this metabolic remodelling drives the impairment of contractility in tachycardia.
Validation of the EHT tachypacing setup
While the canine tachypacing model offers us critical clues into the pathology of tachycardia-induced cardiac dysfunction, it is limited by throughput. In addition, there is a need to understand the direct effect of increased beating rates on cardiomyocytes, which would be difficult to achieve with bulk analysis of the heart due to the presence of non-myocytes. Therefore, we are motivated to establish a complementary model with increased throughput to facilitate mechanistic study and therapeutic testing. We designed an in vitro tachypacing setup for three-dimensional (3D) EHTs generated from human induced pluripotent stem cells (iPSCs). This tachypacing setup consists of an electrical stimulation chamber and a customized circuit connected to an Arduino microcontroller (Fig. 3a and Supplementary Fig. 2). This design can generate electrical stimulations that switch directions after each pulse, allowing us to conduct long-term pacing without inducing medium acidification. To generate EHTs, human iPSCs were differentiated into cardiomyocytes (iPSC–CMs) (Supplementary Fig. 3). The cells were cast into moulds with fibrinogen, Matrigel and thrombin to form 3D constructs, as previously described34. The resulting EHTs were treated with triiodothyronine (T3), dexamethasone (Dex) and fatty acids for 6 days35,36, followed by 40–50 days of culture to allow for further metabolic and functional maturation (Fig. 3b). This protocol resulted in comprehensive cardiac maturation as evidenced by improved metabolic function, enhanced calcium handling and stronger contraction, as well as the upregulation of maturity markers (Extended Data Fig. 2a–e). EHTs were cryosectioned and immunostained for cardiac marker troponin T (TNNT2) and non-myocytes marker vimentin (Vim). Confocal imaging revealed alignment of cardiomyocytes along the direction of contraction (Fig. 3c and Supplementary Fig. 4). These mature EHTs were highly responsive to pacing and followed the electrical stimulation to at least 3 Hz (Fig. 3d–g and Supplementary Fig. 5).
Tachypacing of EHTs recapitulates the key phenotype of TIC
The defining characteristic of TIC is the reversible depression of contractility7,15,37,38. To examine whether matured EHTs could recapitulate this key feature of TIC, EHTs from two independent iPSC lines were tachypaced at 3 Hz for 5 days, followed by 5 days of recovery without pacing. Contractility was measured on days 1, 3, 5, 6, 8 and 10 without pacing (Fig. 4a). Specifically, we quantified three functional parameters: contractile force, maximum contraction velocity and maximum relaxation velocity. Tachypacing did not significantly alter the spontaneous beating rate of the EHTs, therefore eliminating rate as a cofounding factor for contractility measurements (Supplementary Fig. 6). Within 24 h of tachypacing, contractility declined significantly in both cell lines (Fig. 4b–d). This is consistent with a previous canine study that showed a 30% decrease in ejection fraction after just 1 day of tachypacing39. During the 5 days of tachypacing, EHT contractility continuously declined: contractile force, maximum contraction velocity and relaxation velocity declined by about 50% in both cell lines. Upon cessation of tachypacing and normalization of the beating rate, the tachypaced EHTs experienced steady improvement and achieved full functional recovery in 5 days (Fig. 4b–d). Furthermore, a cytotoxicity assay showed no significant change in cell viability of the EHTs after tachypacing (Supplementary Fig. 7). These results suggest that in vitro tachypacing of EHTs can replicate the reversible dysfunction of TIC. We next performed two experiments to verify that tachypacing-induced contractile dysfunction is purely driven by the accelerated beating rate rather than the side effects of the electrical pacing (for example, electrical oxidation). First, EHTs were continuously paced at 1 Hz (60 bpm), a physiological heart rate, for 10 days. Contractility analysis showed that 1 Hz pacing did not affect EHT function (Extended Data Fig. 3a–d). Second, we treated EHTs with compounds to lower the beating rate during tachypacing. By doing so, the effect of the beating rate is decoupled from the effect of pacing. We tested three compounds: carvedilol, a commonly used beta-blocker, FK506, an immunosuppressant drug known to blunt heart rate increase40, and ivabradine, a clinically relevant compound targeting the funny current in pacemaker cells. All three compounds lowered the beating rate of EHTs during tachypacing, presumably by lowering the cardiac responsiveness to pacing. Furthermore, all three compounds mitigated or abolished the deterioration of contractility (Extended Data Fig. 4a–d). Taken together, these data confirmed that the impairment of contractility by tachypacing is primarily driven by the increase in beating rate.
In addition to the wild-type cell lines, we also performed tachypacing on EHTs generated from a hypertrophic cardiomyopathy (HCM) iPSC line. Specifically, these cells carry a pathogenic mutation in myosin binding protein C3 (MYBPC3) (c.3330+2T>G). Similar to their wild-type counterparts, HCM EHTs also showed reversible suppression of contractile function by tachypacing (Extended Data Fig. 5). However, the degree of functional impairment was more substantial in these HCM EHTs. On average, contractile force, contraction velocity and relaxation velocity dropped by >90% at the end of tachypacing (Extended Data Fig. 5b–d), in contrast to the 50% decrease observed in the wild-type cell lines (Fig. 4b–d). Furthermore, 7 out of the 11 tachypaced HCM EHTs completely stopped beating, an observation that was rarely seen in the wild-type EHTs. After 2 days of recovery, 3 of the 7 EHTs resumed beating, and 4 days after recovery all EHTs resumed spontaneous contraction (Extended Data Fig. 5b–d). Collectively, these data indicate that genetic predisposition may increase the severity of TIC despite the reversibility.
Clinically, tachycardia is often accompanied by an irregular heart rhythm due to a primary arrhythmia such as atrial fibrillation41. Irregularity in the heart rhythm was shown to be detrimental independent of the beating rate42,43. We devised two pacing protocols to examine the effect of rate and rhythm on cardiac contractility (Fig. 4e). In the first protocol, EHTs were electrically stimulated using a frequency alternating between 3 Hz and 1 Hz every 5 s (Fig. 4e). This protocol is intended to stress the EHTs with both a fast rate and an irregular rhythm. In the second protocol, the frequency alternates between 1.5 Hz and 0.5 Hz every 10 s, and hence, the EHTs are only stressed by the irregular rhythm. After 5 days of pacing, the fast-irregular pacing regimen reduced contractility by about 55% (Fig. 4e). Interestingly, this is comparable to the reduction induced by constant tachypacing at 3 Hz (Fig. 4b–d). The slow-irregular pacing regimen also reduced cardiac contractility but to a milder degree (~10–15% decrease) (Fig. 4e). These results suggest that both the increased beating rate and the irregular rhythm can contribute to cardiac dysfunction and beating rate appears to have a greater effect in the EHT model. Notably, an irregular heart rate may have a more profound impact on cardiac function in vivo due to the disruption of blood flow.
Tachypacing alters calcium handling and disrupts PKA signalling in a biphasic manner
Given that calcium plays a fundamental role in cardiac excitation–contraction coupling, we next assessed the effect of tachypacing on calcium handling in iPSC–CMs. Using Fluo-4, a cell-permeable calcium indicator, we examined calcium transients in tachypaced cells and quantified various parameters (Fig. 5a,b). Overall, data from two iPSC–CM lines showed a consistent trend. Tachypacing reduced the amplitude of the calcium transient in one cell line, while the decrease in the other cell line was not statistically significant (P = 0.131). Tachypacing in both cell lines significantly shortened the time to peak (TTP). Upstroke velocity decreased slightly after tachypacing. Tachypacing also resulted in the reduction of TD10 (calcium transient duration at 10% decay), TD20 and TD30 in both cell lines. TD10, TD20 and TD30 may serve as an indicator for the amount of cytosolic calcium available for maximal contraction. Given an unchanged or reduced amplitude, a decrease in TD10, TD20 and TD30 may explain the weakened contractile force in tachypaced EHTs (Fig. 4b–d). Decay time, measuring the time for calcium removal at the later phase of the transient, was significantly prolonged, indicating impaired relaxation function. Overall, these changes in calcium handling are consistent with the impairment of contractile function provoked by tachypacing in EHTs.
Subsequently, we examined two critical regulators of calcium handling in cardiomyocytes: the protein kinase A (PKA) pathway and the calcium/calmodulin-dependent protein kinase II (CAMKII) pathway. Both PKA and CAMKII phosphorylate a broad spectrum of substrates to modulate cardiac contractility. For instance, phospholamban (PLN) can be phosphorylated by PKA (p-PLN Ser16) (ref. 44) or by CAMKII (p-PLN Thr17) (ref. 45), which relieves its inhibition of SERCA2a, resulting in positive inotropy and lusitropy. We found that tachypacing substantially increased the phosphorylation of PKA substrates in EHTs, including p-PLN Ser16 and phosphorylated cardiac troponin I (p-cTNI Ser23/24) (Fig. 5c,d). In contrast, p-PLN Thr17 and phosphorylated CAMKII (p-CAMKII) were unchanged (Fig. 5c,d). These data indicate that the PKA signalling axis was probably activated by tachypacing. This finding is consistent with a previous report that acute tachypacing of human myocardium specifically upregulated the PKA signalling pathway46. Activation of PKA in EHTs partially explains the shortening of TD10, TD20 and TD30.
We then analysed the PKA pathway and the CAMKII pathway in a more advanced stage of HF using the canine tachycardia model. This model was validated with in vivo functional data. Specifically, dogs with tachypacing-induced HF had significantly reduced ejection fraction (62% versus 35%), elevated resting heart rate (101 bpm versus 128 bpm), and increased end diastolic diameter (38 mm versus 47 mm) (Extended Data Fig. 6). We performed western blot analysis on LV tissue from three unpaced dogs and four HF dogs after 4 weeks of tachypacing. We observed the opposite trend in these canine samples. In particular, PKA signalling was downregulated, as evidenced by the reduction of p-PLN Ser16 and p-cTNI Ser23/24 (Fig. 5e,f). Indeed, it is known that PKA signalling is diminished in advanced HF such as dilated cardiomyopathy (DCM) and myocardial infarction47.
Taken together, these results suggest that tachycardia disrupts the PKA pathway in a biphasic manner. Specifically, the PKA pathway is activated in response to short-term tachycardia to meet the surging mechanical load and energetic demands. We reason at this stage functional impairment is probably fully reversible. However, sustained and high-intensity tachycardia, coupled with neurohormonal activation, eventually leads to the decompensation and diminishment of PKA signalling, as observed in end-stage HF. Intriguingly, contractility depression manifested after just several days of tachypacing in spite of increased PKA signalling activity (Figs. 4b–d and 5c,d). This discrepancy indicates the presence of an alternative mechanism overriding the positive inotropic effect of the PKA pathway.
Tachycardia promotes tissue hypoxia
To uncover the mechanism underlying tachypacing-induced contractile dysfunction, we next performed RNA sequencing (RNA-seq) analysis of three groups of samples: tachypaced EHTs, unpaced EHTs and tachypaced EHTs after functional recovery (Fig. 6a). We hypothesized that transcriptomic changes induced by tachypacing, similar to the reduction in contractility, are largely reversible. We reasoned that the expression of a subset of genes would be altered by tachypacing and then normalize after recovery. These ‘reversible genes’, which correlate with the reversible functional impairment, could offer critical mechanistic insights. Comparison between tachypaced EHTs and unpaced EHTs revealed 58 differentially expressed genes (DEGs), and 31 of the 58 genes showed normalized expression after recovery, such as pyruvate dehydrogenase kinase 4 (PDK4), fos proto-oncogene (FOS), lactate dehydrogenase A (LDHA) and vascular endothelial growth factor A (VEGFA), which were confirmed by qPCR (Fig. 6b,c and Extended Data Fig. 7). Pathway analysis of these ‘reversible genes’ showed strong enrichment for hypoxia-inducible-factor 1 (HIF1) signalling and glycolysis pathway. Similarly, Gene Ontology (GO) analysis indicates that these genes participate in glycolytic metabolic processes and cellular responses to an abiotic stimulus (for example, oxygen depletion) (Fig. 6c).
Transcriptomic activation of HIF1 suggests tachycardia may induce tissue hypoxia. To test this hypothesis, we loaded EHTs with an oxygen-sensitive dye, which is dark in a normoxic condition and becomes fluorescent in a hypoxic environment (Fig. 6d). Subsequently, the EHTs were tachypaced for 3 h at 3 Hz, followed by imaging analysis. Tachypacing substantially increased the intensity of the fluorescence signal, indicating reduced oxygen availability in the tissue (Fig. 6e,f). The signal intensity, as expected, was most prominent at the centre of the tissue and minimal at the edge. In contrast, little signal was observed in the unpaced EHTs, suggesting minimum hypoxia at the baseline (Fig. 6e,f). The imaging data were corroborated by the upregulation of HIF1A protein in tachypaced EHTs (Fig. 6g) as well as increased lactate secretion, a marker of anaerobic glycolysis (Fig. 6h). Furthermore, we gauged the effect of hypoxia on the tachypaced EHTs via the Seahorse analysis, which measures oxygen consumption rate (OCR). In adaptation to hypoxia, we expect tachypaced EHTs to have suppressed OCR. After 5 days of tachypacing, EHTs had a slight but non-significant decrease in baseline OCR (Fig. 6i,j). Interestingly, upon beta adrenergic stimulation by dobutamine, tachypaced EHTs showed a marked reduction in OCR compared with the healthy unpaced EHTs (Fig. 6i,k). Lastly, transcriptomic analysis of human myocardial biopsies also showed that tachycardia is associated with hypoxia, as evidenced by the upregulation of hypoxia markers such as VEGFA and myoglobin (MB) (Fig. 6l,m).
The mechanism underlying tachycardia-induced hypoxia is probably the mismatch between oxygen demand and supply. In particular, cardiac oxygen consumption was found to be largely proportional to its beating rate48,49. Increasing the heart rate from 100 bpm to 200 bpm, for example, doubles the oxygen demand49. Therefore, tachycardia, especially sustained tachycardia, is likely to reduce myocardial oxygen availability in patients who often have some vascular dysfunction. In the long term, reduced oxygen can lead to the downregulation of OXPHOS on both messenger RNA and protein levels (Figs. 1 and 2). Indeed, after exposure of iPSC–CMs to hypoxia for just 24 h, OXPHOS genes such as NADH:ubiquinone oxidoreductase complex assembly factor 1 (NDUFAF1), subunit A2 (NDUFA2), subunit B9 (NDUFB9) and subunit S5 (NDUFS5) were significantly downregulated (Extended Data Fig. 8).
Glucose metabolites are increased by tachypacing
In addition to the activation of hypoxia signalling, our transcriptomic data also pointed towards increased glucose metabolism (Fig. 6c). To confirm this metabolic shift towards glucose utilization, we employed metabolomics to compare the tachypaced EHTs with the unpaced EHTs. Glucose metabolism comprises multiple branches of pathways such as glycolysis, hexosamine biosynthetic pathway (HBP), polyol pathway and serine biosynthetic pathway (Fig. 7a). Overall, we observed a consistent increase of various glucose metabolites in tachypaced EHTs. Specifically, glycolysis metabolites such as dihydroxyacetone phosphate and pyruvate were increased (Fig. 7b). Two key metabolites from the serine biosynthetic pathway, phosphohydroxypyruvic acid and serine were upregulated by tachypacing (Fig. 7c). Ribulose 5-phosphate, an important metabolite of the pentose phosphate pathway (PPP), was nearly doubled (Fig. 7d), which agrees with a prior report that the PPP pathway is upregulated in tachypacing-induced HF50. Sorbitol, an intermediate of the polyol pathway and a marker for diabetic cardiomyopathy51, was increased by 50% (Fig. 7e). Furthermore, the HBP pathway also appeared to be activated. The HBP pathway drives glutamine conversion to glutamate, and the glutamate/glutamine ratio was elevated by tachypacing. In the meantime, there appears to be a slight but non-significant increase of uridine diphosphate N-acetylglucosamine (UDP-GlcNAc), the final product of the HBP pathway (Fig. 7f). While most TCA metabolites were minimally changed by tachypacing, the level of succinic acid increased (Fig. 7g). Accumulation of succinic acid is a well-established marker for tissue ischaemia52,53, further confirming that tachypaced EHTs were hypoxic. The increased abundance in glucose metabolites was probably driven by an elevated level of glucose transporter 1 (GLUT1), which was confirmed by the western blot analysis (Fig. 7h). Notably, a similar trend (P = 0.062) of GLUT1 upregulation was also observed in the tachypaced canine hearts (Fig. 7i). These data indicate that tachypacing promotes metabolic reprogramming towards increased reliance on glucose utilization at least partially via GLUT1 upregulation.
NAD redox imbalance and increased SERCA2a acetylation underlie tachycardia-induced contractile dysfunction
On the basis of the transcriptomic, metabolomic and imaging data, we suspected that NAD homeostasis was disturbed with two rationales. First, NAD+ is an essential coenzyme extensively used in glucose metabolism54. For instance, NAD+ is consumed in glycolysis to generate pyruvate and further required to generate acetyl-CoA in the TCA cycle. In the polyol pathway, NAD+ is used to convert sorbitol into fructose. Increased glucose utilization, therefore, raises the consumption of NAD+ in the cytosol. Second, NAD+ is regenerated from NADH during mitochondrial respiration, mainly through type I NADH dehydrogenase (complex I). This process is highly sensitive to oxygen depletion. Therefore, hypoxia induced by tachycardia would probably lead to reduced NAD+ regeneration. Both hypoxia and hyperglycaemia have been shown to reduce the NAD+/NADH ratio in other types of cells55,56. To test the hypothesis, we exposed iPSC–CMs to low glucose (2.5 mM glucose; LG), hyperglycaemia (25 mM glucose; HG) or a combination of hypoxia (<1% O2) and hyperglycaemia for 24 h. HG had a minimal effect on NAD+ content but significantly increased the level of NADH, causing the expansion of the total NAD pool and the reduction of NAD+/NADH ratio (Fig. 8a). The combination of HG and hypoxia exacerbated this change and further decreased the NAD+/NADH ratio. Interestingly, tachypacing had a similar effect on EHTs. After 5 days of tachypacing, EHTs had a slightly elevated total NAD pool (P = 0.1049) and a decreased NAD+/NADH ratio (Fig. 8b). Collectively, these data suggest that increased hypoxia and glucose utilization induced by tachypacing contributed to NAD redox imbalance.
The next key question is whether changes in NAD redox play a causal role in contractile dysfunction. A major cellular function of NAD+ is to serve as the coenzyme for sirtuins, a family of NAD+-dependent protein deacetylases. Recently, there has been a growing recognition that increased protein acetylation is a key mediator in the pathogenesis of HF, and targeting NAD+–sirtuin signalling showed promising results in treating HF in mouse models31,57. In particular, a recent study found that acetylation of SERCA2a inhibited cardiac contractility in mice58. Given that tachypacing reduced the NAD+/NADH ratio, we speculated that it might increase protein acetylation in cardiac cells. First, we examined the global protein acetylation level in tachypaced and unpaced EHTs. We found tachypacing led to increased protein acetylation (Fig. 8c). We then analysed protein samples from canine myocardium of tachypacing-induced HF and observed a similar increase in global protein acetylation (Fig. 8d). Subsequently, using immunoprecipitation (IP), we quantified the ratio of acetylated SERCA2a over total SERCA2a, which showed a ~40% increase in SERCA2a acetylation by tachypacing (Fig. 8e).
If the imbalance of NAD homeostasis and increased protein acetylation play a causal role in tachycardia-induced contractile dysfunction, supplementation of NAD+ would expedite cardiac function recovery. To test this hypothesis, EHTs were tachypaced at 3 Hz for 5 days and then treated with either 1 mM NAD+ or the vehicle control for 24 h (Fig. 8f). NAD+ treatment resulted in increased total NAD pool and an increased NAD+/NADH ratio (Supplementary Fig. 8). By western blot analysis, NAD+ supplementation reduced global protein acetylation (Fig. 8g). Furthermore, IP experiments revealed that NAD+ supplementation reduced SERCA2a acetylation by about 50% (Fig. 8h). Next, we evaluated the functional recovery of EHTs with or without NAD+ after tachypacing (Fig. 8i). After 5 days of tachypacing, EHTs had a ~50% reduction in contractile force, maximum contraction velocity and relaxation velocity. In the presence of 1 mM NAD+, EHT contractile force recovered to 83% of the baseline in 1 day, whereas the untreated group showed minimal improvement (Fig. 8j,k). Similarly, maximum relaxation velocity recovered to 91% with NAD+ treatment compared with 61% in the untreated EHTs. In addition to boosting functional recovery, NAD+ also reduced the abundance of glycolysis metabolites such as glucose-6-phosphate and pyruvate (Extended Data Fig. 9). Collectively, our data indicate that the disruption of NAD homeostasis is a critical driver underlying tachycardia-induced contractile dysfunction. While changes in NAD homeostasis in cardiomyocytes may have a plethora of effects on cellular signalling and physiology59, our results suggest increased protein acetylation is probably a key molecular culprit underlying the impairment of contractility. Moreover, acetylation of SERCA2a may be responsible for overriding the positive inotropy of the PKA signalling.
Discussion
Increased heart rate is broadly implicated in various aetiologies of heart disease3. Tachycardia, an extreme form of heart rate elevation, is well known to impair cardiac contractility. Unlike most cardiomyopathies, TIC is partially or fully reversible on the functional level. So far, the molecular mechanism underlying this reversible contractile dysfunction remains elusive. Large animals (for example, dogs) are most suitable for the study of TIC due to their similarity with humans in cardiac physiology, including the resting heart rate. Yet tachypacing in large animals is a low-throughput process due to its high cost, ethical concerns and technical complexity. To address this issue, we developed an in vitro tachycardia model using 3D EHTs derived from human iPSCs. Admittedly, there are important limitations to the EHTs as a model to study cardiac pathophysiology. First, EHTs lack functional vasculatures for metabolites and nutrient exchange. Second, EHTs lack the architectural and electrophysiological complexity of the heart. In particular, the absence of structurally independent atrial tissue in EHTs poses a challenge to fully recapitulate the pathology of TIC driven by atrial fibrillation, a prevalent cause of TIC7. Lastly, the cellular diversity of the EHTs is much lower than that of the human heart. Nevertheless, the EHT model allows us to interrogate the effect of tachycardia on human cardiac tissue with minimal confounding factors and serves as a powerful technology for testing therapeutics60.
To model TIC, we reason that the maturity of the EHT is critical. There is an inconsistency in the literature regarding the effect of tachypacing on iPSC–CMs or EHTs. In particular, tachypacing has been reported to improve maturation in some studies61–63 yet induce cardiac damage or adverse remodelling in other studies60,64,65. This discrepancy may partially stem from the timing of pacing. It was shown that tachypacing promotes maturation in early stage EHTs (~12 days) but not in late-stage EHTs (~28 days)61, which also aligns with the fact that the foetal heart can tolerate a much faster heart rate than the adult heart. Therefore, maturation of the EHT is probably a prerequisite for modelling TIC in vitro. We applied Dex, T3 and fatty acid supplementation coupled with long-term culture to promote cardiac maturation (Extended Data Fig. 2). We were able to recapitulate the key phenotype of TIC using these matured EHTs. We demonstrated that tachypacing of human EHTs induced reversible impairment of contractile function (Fig. 4 and Supplementary Fig. 9), the hallmark of TIC. Tachypacing induced a metabolic transition towards glycolysis in the EHTs, which is consistent with both our canine samples and with prior canine tachypacing studies27,66. Furthermore, tachypaced EHTs, similar to tachypaced canine hearts27, had a depressed response to dobutamine stimulation (Fig. 6i–k). Lastly, tachypacing of EHTs selectively activated the PKA signalling pathway but not the CAMKII pathway, a phenomenon previously reported in acutely tachypaced human myocardium46. Collectively, these data validated the utility of EHTs in modelling TIC.
Leveraging this EHT tachycardia model, we uncovered the missing link between metabolic reprogramming and contractile dysfunction in TIC. In particular, while increased glycolysis has been previously documented in canine tachypacing-induced HF27 as well as HF in patients67, it was unknown whether this metabolic shift plays a causal role in the depression of cardiac contractility. Here, we show tachycardia reduces oxygen availability in the cardiac tissue, promoting a metabolic shift towards anaerobic glycolysis. This leads to the disruption of NAD redox balance and increases global protein acetylation, which was observed in both the EHTs and the canine samples. Specifically, the level of SERCA2a acetylation was increased by tachypacing. Acetylation of SERCA2a was recently shown to reduce cardiac contractility in HF by inhibiting its calcium uptake activity58. NAD+ supplementation reduced SERCA2a acetylation and improved cardiac contractility after tachypacing. Taken together, these data suggest that increased acetylation of proteins such as SERCA2a plays a causal role in the suppression of cardiac contractility.
While TIC is clinically considered as reversible cardiomyopathy, our data, along with accumulating evidence from other studies, raise concerns for persistent damage with long-term implications. First, transcriptomic analysis of tachypaced EHTs after functional recovery showed an upregulation of extracellular matrix genes, implying the activation of structural remodelling (Extended Data Fig. 10). These data agree with a recent report that found increased myocardial fibrosis in patients with TIC12. Second, dogs that recovered from tachypacing-induced HF showed reduced metabolic flexibility and depressed adrenergic response27. Furthermore, when extending the pacing duration to >30 days, irreversible damages to the EHTs were observed (Supplementary Fig. 10). Lastly, we observed increased global protein acetylation in the EHTs after 5 days of tachypacing. This observation is surprising because this molecular phenotype has been exclusively reported in models of advanced HF. As a future direction, it may be interesting to perform in-depth profiling of the acetylome for different subcellular compartments (such as mitochondria versus the cytosol) at different stages of TIC, and compare the results with other types of cardiomyopathies. This may reveal additional therapeutic targets, in addition to SERCA2a, that are not only applicable to pure TIC but to a broad spectrum of heart disease where tachycardia is implicated.
Methods
Human iPSC culture
Human iPSC cell lines: SCVI-273 (female), SCVI-15 (male) and SCVI-591 (female) were generated by the Stanford Cardiovascular Institute Biobank. All iPSCs were cultured in Essential 8 (E8) medium (Thermo Fisher Scientific) at 37 °C in a humidified incubator with 5% CO2 and 20% O2. Cells were passaged every 4–5 days using 0.5 mM ethylenediaminetetraacetic acid (Thermo Fisher Scientific). Cell lines were used between passages 20 and 40. All cell cultures were routinely tested for potential mycoplasma contamination using the MycoAlert Plus Kit (Lonza).
Cardiac differentiation
Human iPSCs at >90% confluency were used for cardiac differentiation. The basal differentiation medium was Roswell Park Memorial Institute (RPMI) 1640 (Thermo Fisher Scientific) supplemented with B-27 minus insulin (Thermo Fisher Scientific). This differentiation medium was used for the entire cardiac differentiation process unless otherwise specified. On day 0, E8 medium was changed to the differentiation medium supplemented with 6 μM of CHIR99021 (LC Laboratories). On day 2, the culture medium was replaced to remove CHIR99021. Between day 3 and day 5, cells were treated with 5 μM of IWR-1 (Selleck Chemicals). On day 5, the culture medium was replaced with a fresh differentiation medium. After day 7, the differentiated cells were maintained in RPMI 1640 supplemented with B-27 with insulin. The culture medium was changed every 2–3 days. To purify the iPSC–CMs, cells were cultured in glucose-free RPMI 1640 medium supplemented with B-27 with insulin for 2–4 days. iPSC–CMs generated using this protocol have been extensively characterized in our previous publications68,69.
Generation of human EHTs
EHTs were generated using a previously published protocol with minor modifications70. Briefly, on day 12–18 of cardiac differentiation, 2 × 106 iPSC–CMs were suspended in 100 μl low-glucose Dulbecco’s modified Eagle medium (Thermo Fischer Scientific) containing 5 mg ml−1 bovine fibrinogen (Sigma-Aldrich), 10%(vol/vol) Matrigel (Corning), 10% (vol/vol) foetal bovine serum (Gibco), 1% (vol/vol) penicillin–streptomycin (Thermo Fischer Scientific) and 3 U ml−1 thrombin (Sigma-Aldrich). The mixture was injected into a pre-made mould made of 2% agarose, forming a 3D construct around two silicone posts (EHT Technologies). After 1.5 h of incubation at 37 °C, EHTs were transferred into 24-well plates for long-term culture. EHTs were maintained in 50% EGM-2 medium (Lonza) and 50% RPMI 1640 with B-27 with insulin. During days 20–26, culture medium was supplemented with 10 nM T3 (Sigma-Aldrich), 1 μM dexamethasone (Sigma-Aldrich), 30 μM oleic acid–bovine serum albumin conjugates (Sigma-Aldrich) and 80 μM palmitic acid–bovine serum albumin conjugates (Sigma-Aldrich) to promote metabolic and functional maturation. EHTs were further cultured for 40–50 days to be ready for experiments.
Measurement of EHT contractility
Bright-field videos of beating EHTs were taken using the SI8000 Cell Motion Imaging System (Sony). Each video was recorded for 8 s at the frame rate of 150 frames per second and a resolution of 1,024 × 1,024 pixels using a 10× objective on a fully automated microscope (Eclipse Ti, Nikon). During recording, EHTs were kept in a humidified chamber at 37 °C supplied with 5% CO2. No electrical pacing was applied during the recording unless otherwise specified. Each video tracks the deflection of the silicone posts in response to the contraction of the EHT. SI8000 analyser software was used to extract the trajectory data from the videos, then analysed using Tracker, an open-source software. Maximum contraction velocity, maximum relaxation velocity, contractile force and beating rate were calculated.
Calcium imaging
Human iPSC–CMs were seeded on Matrigel-coated glass coverslips, which were transferred to a customized chamber designed for the electrical pacing of two-dimensional monolayers of cells. After 5 days of tachypacing at 3 Hz, cells were loaded with 5 μM of Fluo-4 AM dye (Thermo Fisher Scientific) in Tyrode’s solution for 30 min at 37 °C. After washing three times with Tyrode’s solution, cells were imaged using a confocal microscope (LSM 710, Carl Zeiss). Calcium transients were captured with the line-scanning mode (512 pixels × 1,920 lines) at the speed of 8 ms per line. During imaging, cells were electrically paced at 1 Hz (cell line 1) or 0.5 Hz (cell line 2) depending on their spontaneous beating rate. In addition, environmental control was employed to keep the cells at 37 °C with 5% CO2. Fiji ImageJ was used to analyse the images. Background signal from extracellular regions was subtracted.
RNA-seq and analysis
Total RNA was extracted using the miRNeasy Mini Kit (Qiagen). Libraries were generated using the NEBNext Ultra RNA Library Prep Kit for Illumina (New England Biolabs) and sequenced on a Hiseq 4000 platform (Novogene). Quality was examined by analysing per-base sequence quality plots using FastQC. Sequence reads were trimmed by TrimGalore and aligned to the human genome (hg38) using STAR71. Reads with overlapping exon coordinates were counted using RSEM72 and featurecounts73. Raw read counts were transformed using the variance stabilizing transformation function in DESeq2 (ref. 74). DEGs between different groups were identified using DESeq2. The biological processes and pathways of the DEGs were predicted using the GO annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG).
Hypoxia imaging
EHTs were incubated with 5 μM of Image-iT Green Hypoxia Reagent in the culture medium for 1 h at 37 °C. The dye-containing medium was then replaced with fresh medium. EHTs were then tachypaced at 3 Hz or unpaced for 3 h. Subsequently, EHTs were removed from the silicone racks and rinsed with Dulbecco’s phosphate-buffered saline before being transferred onto glass-bottom dishes. Imaging was performed on a Leica DMi8 fluorescence microscope using a 10× objective. Images were analysed in Fiji ImageJ. Regions of interest were randomly drawn, and the fluorescence intensity was quantified.
Canine tachypacing-induced HF
Male, 1–2 year-old mongrel dogs weighing 22–25 kg were chronically instrumented as described before75. Briefly, telazol (6 mg kg−1 intravenous) and glycopyrrolate (0.01 mg kg−1) were used to induce anaesthesia, and 1.5–2% isoflurane was administered to maintain anaesthesia along with 40% oxygen/60% air ventilation. A thoracotomy was performed in the left fifth intercostal space, a catheter was inserted into the descending thoracic aorta and a solid-state pressure gauge (E-430001-IMP-10, Stellar Implantable Transmitter) was placed in the left ventricle across the apex. A Doppler flow transducer (20 MHz pulsed Doppler velocimeter) was positioned around the left circumflex coronary artery, and two pacing leads were attached to the LV free wall. Catheters and wires were placed subcutaneously in the inter-scapular area, and the chest cavity was closed in layers to minimize pneumothorax. Following the surgery, dogs were given antibiotics and allowed to recover fully. Ten days after the surgery, the dogs were trained to lie on the laboratory table. To induce HF, dogs were subjected to LV pacing using an external pacemaker at 210 bpm for the first 3 weeks. Subsequently, the pacing rate was increased to 240 bpm for an additional week. This pacing protocol is well known to cause DCM and compensated HF during the first 3 weeks, which will culminate in severe decompensated HF between day 27 and day 30. All of the dogs were sacrificed on day 28 after the acquisition of in vivo data. Myocardial samples were frozen at −80 °C for future analysis. The protocol complies with the guiding principles for the care and use of laboratory animals published by the National Institutes of Health and was approved by the Institutional Animal Care and Use Committee of Temple University.
Human patient transcriptome data
Raw transcriptomic data from patients without HF or patients who have DCM with or without tachycardia were previously published and deposited at GSE116250 (ref. 32) and no additional ethical approval is required to use and analyse the data. Processing of the raw data was carried out as described above. Tachycardia-specific genes are defined as those significantly up- or downregulated in HF with tachycardia but not in those without tachycardia. These tachycardia-specific genes were analysed for pathway enrichment.
Statistical analysis
Data were analysed using Prism (GraphPad) and reported as mean ± s.e.m unless otherwise specified. Statistical comparisons were conducted via a one-way analysis of variance (ANOVA) with Tukey’s multiple comparison test for more than two groups and one variable, or a two-way ANOVA with Bonferroni’s multiple comparisons test for two variables. For two groups, the two-tailed Mann–Whitney test or the two-tailed Student’s t-test was performed to assess the significant differences. P < 0.05 was indicated as significant, and P > 0.05 was indicated as not significant.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Extended Data
Supplementary Material
Acknowledgements
C.T. discloses support for the research described in this study from the American Heart Association (AHA) (20POST35080175) and the National Institutes of Health (NIH) (K99 HL164962). A.C. discloses support for the publication of this study from AHA (908136). H.Z. discloses support for the publication of this study from AHA (23CDA1050577). O.J.A. discloses support for the publication of this study from the NIH (K01 HL130608). F.A.R. discloses support for the publication of this study from NIH (R01 HL151345). J.C.W. discloses support for the publication of this study from the NIH (R01 HL163680, R01 HL141371, R01 HL113006, R01 HL150693 and P01 HL141084) and the National Aeronautics and Space Administration (80ARC022CA003).
Footnotes
Competing interests
J.C.W. is a co-founder and scientific advisory board member of Greenstone Biosciences. All other authors declare no competing interests.
Extended data is available for this paper at https://doi.org/10.1038/s41551-023-01134-x.
Supplementary information The online version contains supplementary material available at https://doi.org/10.1038/s41551-023-01134-x.
Peer review information Nature Biomedical Engineering thanks Thomas Eschenhagen, Zachary Laksman and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Data availability
The main data supporting the results in this study are available within the paper and its Supplementary Information. Source data for the figures are available in figshare, with the identifier https://doi.org/10.6084/m9.figshare.24112587. RNA-seq data are available at the National Center for Biotechnology Information Gene Expression Omnibus repository, under accession number GSE242727. Publicly available data used in this study are available at the National Center for Biotechnology Information Gene Expression Omnibus repository, under accession numbers GSE116250 and GSE9794. The raw and analysed datasets generated during the study are available for research purposes from the corresponding authors on reasonable request. Source data are provided with this paper.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The main data supporting the results in this study are available within the paper and its Supplementary Information. Source data for the figures are available in figshare, with the identifier https://doi.org/10.6084/m9.figshare.24112587. RNA-seq data are available at the National Center for Biotechnology Information Gene Expression Omnibus repository, under accession number GSE242727. Publicly available data used in this study are available at the National Center for Biotechnology Information Gene Expression Omnibus repository, under accession numbers GSE116250 and GSE9794. The raw and analysed datasets generated during the study are available for research purposes from the corresponding authors on reasonable request. Source data are provided with this paper.