Plasma level of big endothelin-1 predicts the prognosis in patients with hypertrophic cardiomyopathy

Prognostic value of plasma big endothelin-1 in patients with light chain cardiac amyloidosis

BACKGROUND

Light chain cardiac amyloidosis (AL-CA) is associated with a high incidence of mortality. Big endothelin-1 (ET-1), the precursor of endothelial-vasoconstrictive ET-1, is closely related to the concentration of bioactive ET-1. Association between big ET-1 and prognosis of AL-CA has not yet been documented. The purpose of this study was to evaluate the prognostic value of big ET-1 for poor outcomes in moderate to severe AL-CA.

METHODS

Big ET-1 levels were determined on admission in patients with newly diagnosed AL-CA with modified Mayo 2004 stage II or III. Primary outcome was all-cause mortality. The secondary outcomes included death from cardiac cause and the composite of the primary outcome or hospitalisations due to worsening heart failure.

RESULTS

Overall, 141 patients were retrospectively included (57 stage II, 34 stage IIIa, 50 stage IIIb). During a median follow-up time of 25.7 months, 84 (59.6%) patients died. Patients with big ET-1 levels of ≤0.88 pmol/L had longer survival than those with >0.88 pmol/L (median survival time: 34.1 months vs 15.3 months, log-rank p<0.001), which was also observed in the validation cohort (log-rank p=0.026). Higher big ET-1 levels were predictive for all-cause mortality after multivariable adjustment (HR 1.91, 95% CI 1.05 to 3.49, p=0.035). Big ET-1 levels added an incremental prognostic value over modified Mayo 2004 stage (C-index: from 0.671 to 0.696, p=0.025; integrated discrimination improvement 0.168, p=0.047).

CONCLUSIONS

Big ET-1 is a strong and independent predictor of mortality in patients with moderate to severe AL-CA, which may indicate a possible role for risk stratification in patients with this disease.

Long-term prognostic value of big endothelin-1 and its combination with late gadolinium enhancement in patients with idiopathic restrictive cardiomyopathy

BACKGROUND AND AIMS

Idiopathic restrictive cardiomyopathy (RCM) has a low incidence. This study aimed to determine the prognostic value of big endothelin-1 (ET-1) in idiopathic RCM.

MATERIALS AND METHODS

We prospectively enrolled patients with idiopathic RCM from 2009 to 2017 and followed them up. The primary outcome was a composite of all-cause mortality and cardiac transplantation, and the secondary outcome was a composite of cardiac death and cardiac transplantation.

RESULTS

Ninety-one patients were divided into the high big ET-1 (>0.85 pmol/L, n = 56) and low big ET-1 (≤0.85 pmol/L, n = 35) groups, and 87 of them completed the follow-up. Big ET-1 concentrations (hazard ratio: 1.756, 95 % confidence interval [CI]: 1.117-2.760) and late gadolinium enhancement (LGE) (hazard ratio: 3.851, 95 % CI: 1.238-11.981) were independent risk factors for the primary outcome. Big ET-1 concentrations (C-statistic estimation: 0.764, 95 % CI: 0.657-0.871) and the combination of LGE and big ET-1 concentrations (C-statistic estimation: 0.870, 95 % CI: 0.769-0.970) could accurately predict the 5-year transplant-free survival rate, and 0.85 pmol/L was a suitable cutoff for big ET-1.

CONCLUSION

Big ET-1 and its combination with LGE may be useful to predict an adverse prognosis in patients with idiopathic RCM.

Endothelial cell dysfunction in cardiac disease: driver or consequence?

The vascular endothelium is a multifunctional cellular system which directly influences blood components and cells within the vessel wall in a given tissue. Importantly, this cellular interface undergoes critical phenotypic changes in response to various biochemical and hemodynamic stimuli, driving several developmental and pathophysiological processes. Multiple studies have indicated a central role of the endothelium in the initiation, progression, and clinical outcomes of cardiac disease. In this review we synthesize the current understanding of endothelial function and dysfunction as mediators of the cardiomyocyte phenotype in the setting of distinct cardiac pathologies; outline existing in vivo and in vitro models where key features of endothelial cell dysfunction can be recapitulated; and discuss future directions for development of endothelium-targeted therapeutics for cardiac diseases with limited existing treatment options.

Big Endothelin-1 as a Predictor of Reverse Remodeling and Prognosis in Dilated Cardiomyopathy

This study aimed to investigate the predictive value of Big endothelin-1(ET-1) for left ventricular reverse remodeling (LVRR) and prognosis in patients with dilated cardiomyopathy (DCM). Patients with DCM and a left ventricular ejection fraction (LVEF) ≤ 50% from 2008 to 2017 were included. LVRR was defined as the LVEF increased by at least 10% or follow-up LVEF increased to at least 50% with a minimum improvement of 5%; meanwhile, the index of left ventricular end-diastolic diameter (LVEDDi) decreased by at least 10% or LVEDDi decreased to ≤33 mm/m². The composite outcome for prognostic analysis consisted of death and heart transplantations. Of the 375 patients included (median age 47 years, 21.1% female), 135 patients (36%) had LVRR after a median of 14 months of treatment. An independent association was found between Big ET-1 at baseline and LVRR in the multivariate model (OR 0.70, 95% CI 0.55-0.89, p = 0.003, per log increase). Big ET-1, body mass index, systolic blood pressure, diagnosis of type 2 diabetes mellitus (T2DM) and treatment with ACEI/ARB were significant predictors for LVRR after stepwise selection. Adding Big ET-1 to the model improved the discrimination (∆AUC = 0.037, p = 0.042 and reclassification (IDI, 3.29%; p = 0.002; NRI, 35%; p = 0.002) for identifying patients with LVRR. During a median follow-up of 39 (27-68) months, Big ET-1 was also independently associated with the composite outcome of death and heart transplantations (HR 1.45, 95% CI 1.13-1.85, p = 0.003, per log increase). In conclusion, Big ET-1 was an independent predictor for LVRR and had prognostic implications, which might help to improve the risk stratification of patients with DCM.

Association between Plasma Big Endothelin-1 Level and The Severity of Coronary Artery Disease in Patients with Non-ST Segment-Elevated Myocardial Infarction

BACKGROUND

Early risk stratification with simple biomarkers is essential in patients with non-ST segment-elevation myocardial infarction (NSTEMI).

OBJECTIVE

This study aimed to evaluate the association between plasma big endothelin-1 (ET-1) level and the SYNTAX score (SS) in patients with NSTEMI.

METHODS

A total of 766 patients with NSTEMI undergoing coronary angiography were recruited. Patients were divided into three groups: low SS (≤22), intermediate SS (23-32), and high SS (>32). Spearman correlation, smooth curve fitting, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed to evaluate the association between plasma big ET-1 level and the SS. A p-value <0.05 was considered statistically significant.

RESULTS

There was a significant correlation between the big ET-1 and the SS (r=0.378, p<0.001). The smoothing curve indicated a positive correlation between the plasma big ET-1 level and the SS. The ROC curve analysis showed that the area under the curve was 0.695 (0.661-0.727) and the optimal cutoff of plasma big ET-1 level was 0.35pmol/l. Logistic regression showed that elevated big ET-1 was an independent predictor of intermediate-high SS in patients with NSTEMI, whether entered as a continuous variable [OR (95% CI): 1.110 (1.053-1.170), p<0.001] or as a categorical variable [OR (95% CI): 2.962 (2.073-4.233), p<0.001].

CONCLUSION

In patients with NSTEMI, the plasma big ET-1 level was significantly correlated with the SS. Elevated plasma big ET-1 level was an independent predictor for intermediate-high SS.

Circulating Biomarkers in Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy is the most common genetic heart disease. Biomarkers, molecules measurable in the blood, could inform the clinician by aiding in diagnosis, directing treatment, and predicting outcomes. We present an updated review of circulating biomarkers in hypertrophic cardiomyopathy representing key pathologic processes including wall stretch, myocardial necrosis, fibrosis, inflammation, hypertrophy, and endothelial dysfunction, in addition to their clinical significance.

Big Endothelin-1 and long-term all-cause death in patients with coronary artery disease and prediabetes or diabetes after percutaneous coronary intervention

BACKGROUND AND AIMS

The present study aimed to examine the association between big endothelin-1 (big ET-1) and long-term all-cause death in patients with coronary artery disease (CAD) and different glucose metabolism status.

METHODS AND RESULTS

We consecutively enrolled 8550 patients from January 2013 to December 2013. Patients were categorized according to both status of glucose metabolism status [Diabetes Mellitus (DM), Pre-Diabetes (Pre-DM), Normoglycemia (NG)] and big ET-1 levels. Primary endpoint was all-cause death. During a median of 5.1-year follow-up periods, 301 all-cause deaths occurred. Elevated big ET-1 was significantly associated with long-term all-cause death (adjusted HR: 2.230, 95%CI 1.629-3.051; p < 0.001). Similarly, patients with DM, but not Pre-DM, had increased risk of all-cause death compared with NG group (p < 0.05). When patients were categorized by both status of glucose metabolism and big ET-1 levels, high big ET-1 were associated with significantly higher risk of all-cause death in Pre-DM (adjusted HR: 2.442, 95% CI 1.039-5.740; p = 0.041) and DM (adjusted HR: 3.162, 95% CI 1.376-7.269; p = 0.007). The Kaplan-Meier curve indicated that DM patients with the highest big ET-1 levels were associated with the greatest risk of all-cause death (p < 0.05).

CONCLUSIONS

The present data indicate that baseline big ET-1 levels were independently associated with the long-term all-cause death in DM and Pre-DM patients with CAD undergoing PCI, suggesting that big ET-1 may be a valuable marker in patients with impaired glucose metabolism.

Comprehensive Proteomics Profiling Identifies Patients With Late Gadolinium Enhancement on Cardiac Magnetic Resonance Imaging in the Hypertrophic Cardiomyopathy Population

Introduction

In hypertrophic cardiomyopathy (HCM), late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (CMR) represents myocardial fibrosis and is associated with sudden cardiac death. However, CMR requires particular expertise and is expensive and time-consuming. Therefore, it is important to specify patients with a high pre-test probability of having LGE as the utility of CMR is higher in such cases. The objective was to determine whether plasma proteomics profiling can distinguish patients with and without LGE on CMR in the HCM population.

Materials and Methods

We performed a multicenter case-control (LGE vs. no LGE) study of 147 patients with HCM. We performed plasma proteomics profiling of 4,979 proteins. Using the 17 most discriminant proteins, we performed logistic regression analysis with elastic net regularization to develop a discrimination model with data from one institution (the training set; n = 111) and tested the discriminative ability in independent samples from the other institution (the test set; n = 36). We calculated the area under the receiver-operating-characteristic curve (AUC), sensitivity, and specificity.

Results

Overall, 82 of the 147 patients (56%) had LGE on CMR. The AUC of the 17-protein model was 0.83 (95% confidence interval [CI], 0.75–0.90) in the training set and 0.71 in the independent test set for validation (95% CI, 0.54–0.88). The sensitivity of the training model was 0.72 (95% CI, 0.61–0.83) and the specificity was 0.78 (95% CI, 0.66–0.90). The sensitivity was 0.71 (95% CI, 0.49–0.92) and the specificity was 0.74 (95% CI, 0.54–0.93) in the test set. Based on the discrimination model derived from the training set, patients in the test set who had high probability of having LGE had a significantly higher odds of having LGE compared to those who had low probability (odds ratio 29.6; 95% CI, 1.6–948.5; p = 0.03).

Conclusions

In this multi-center case-control study of patients with HCM, comprehensive proteomics profiling of 4,979 proteins demonstrated a high discriminative ability to distinguish patients with and without LGE. By identifying patients with a high pretest probability of having LGE, the present study serves as the first step to establishing a panel of circulating protein biomarkers to better inform clinical decisions regarding CMR utilization.

Predictive Value of Plasma Big Endothelin-1 in Adverse Events of Patients With Coronary Artery Restenosis and Diabetes Mellitus: Beyond Traditional and Angiographic Risk Factors

Background

Patients with diabetes are a high-risk group for coronary in-stent restenosis (ISR), so it would be valuable to identify biomarkers to predict their prognosis. The plasma big endothelin-1 (big ET-1) level is closely related to cardiovascular adverse events; however, for patients with ISR and diabetes who undergo percutaneous coronary intervention (PCI), whether big ET-1 is independently correlated with prognosis is still uncertain.

Methods

Patients with drug-eluting stent (DES) restenosis who underwent successful re-PCI from January 2017 to December 2018 at the Chinese Academy of Medical Sciences Fuwai Hospital were enrolled and followed up for 3 years. The patients were divided into the tertiles of baseline big ET-1. The primary end points were major adverse cardiovascular events (MACEs): cardiac death, non-fatal myocardial infarction (MI), target lesion revascularization (TLR), and stroke. A Cox multivariate proportional hazard model and the C-statistic were used to evaluate the potential predictive value of big ET-1 beyond traditional and angiographic risk factors.

Results

A total of 1,574 patients with ISR were included in this study, of whom 795 were diabetic. In patients with ISR and diabetes, after an average follow-up of 2.96 ± 0.56 years, with the first tertile of big ET-1 as a reference, the hazard ratio [HR] (95% CI) of MACEs after adjustment for traditional and angiographic risk factors was 1.24 (0.51–3.05) for the second tertile and 2.60 (1.16–5.81) for the third. Big ET-1 improved the predictive value for MACEs over traditional risk factors (C-statistic: 0.64 vs. 0.60, p = 0.03). Big ET-1 was not significantly associated with the risk of MACEs in patients without diabetes.

Conclusion

Increased plasma big ET-1 was associated with a higher risk of adverse cardiovascular prognosis independent of traditional and angiographic risk factors, and therefore, it might be used as a predictive biomarker, in patients with ISR and diabetes.

Cardiovascular Biomarkers: Lessons of the Past and Prospects for the Future

Cardiovascular diseases (CVDs) are a major healthcare burden on the population worldwide. Early detection of this disease is important in prevention and treatment to minimise morbidity and mortality. Biomarkers are a critical tool to either diagnose, screen, or provide prognostic information for pathological conditions. This review discusses the historical cardiac biomarkers used to detect these conditions, discussing their application and their limitations. Identification of new biomarkers have since replaced these and are now in use in routine clinical practice, but still do not detect all disease. Future cardiac biomarkers are showing promise in early studies, but further studies are required to show their value in improving detection of CVD above the current biomarkers. Additionally, the analytical platforms that would allow them to be adopted in healthcare are yet to be established. There is also the need to identify whether these biomarkers can be used for diagnostic, prognostic, or screening purposes, which will impact their implementation in routine clinical practice.

Endothelin and the Cardiovascular System: The Long Journey and Where We Are Going

Simple Summary

In this review, we describe the basic functions of endothelin and related molecules, including their receptors and enzymes. Furthermore, we discuss the important role of endothelin in several cardiovascular diseases, the relevant clinical evidence for targeting the endothelin pathway, and the scope of endothelin-targeting treatments in the future. We highlight the present uses of endothelin receptor antagonists and the advancements in the development of future treatment options, thereby providing an overview of endothelin research over the years and its future scope.

Abstract

Endothelin was first discovered more than 30 years ago as a potent vasoconstrictor. In subsequent years, three isoforms, two canonical receptors, and two converting enzymes were identified, and their basic functions were elucidated by numerous preclinical and clinical studies. Over the years, the endothelin system has been found to be critical in the pathogenesis of several cardiovascular diseases, including hypertension, pulmonary arterial hypertension, heart failure, and coronary artery disease. In this review, we summarize the current knowledge on endothelin and its role in cardiovascular diseases. Furthermore, we discuss how endothelin-targeting therapies, such as endothelin receptor antagonists, have been employed to treat cardiovascular diseases with varying degrees of success. Lastly, we provide a glimpse of what could be in store for endothelin-targeting treatment options for cardiovascular diseases in the future.

Plasma Big Endothelin-1 Levels and Long-Term Outcomes in Patients With Atrial Fibrillation and Acute Coronary Syndrome or Undergoing Percutaneous Coronary Intervention

Background

This study aimed to evaluate the association between plasma big ET-1 levels and long-term outcomes in patients with atrial fibrillation (AF) and acute coronary syndrome (ACS) or undergoing percutaneous coronary intervention (PCI).

Methods

A total of 930 patients were enrolled and followed up for a median duration of 2.3 years. According to the optimal cutoff of big ET-1 for predicting all-cause death, these patients were divided into two groups. The primary endpoints were all-cause death and net adverse clinical events (NACE). The secondary endpoints included cardiovascular death, major adverse cardiovascular events (MACE), BARC class ≥ 3 bleeding, and BARC class ≥ 2 bleeding. Cox regressions were performed to evaluate the association between big ET-1 and outcomes.

Results

Based on the optimal cutoff of 0.54 pmol/l, 309 patients (33.2%) had high big ET-1 levels at baseline. Compared to the low big ET-1 group, patients in the high big ET-1 group tended to have more comorbidities, impaired cardiac function, elevated inflammatory levels, and worse prognosis. Univariable and multivariable Cox regressions indicated that big ET-1 ≥ 0.54 pmol/l was associated with increased incidences of all-cause death [HR (95%CI):1.73 (1.10–2.71), p = 0.018], NACE [HR (95%CI):1.63 (1.23–2.16), p = 0.001], cardiovascular death [HR (95%CI):1.72 (1.01–2.92), p = 0.046], MACE [HR (95%CI):1.60 (1.19–2.16), p = 0.002], BARC class ≥ 3 [HR (95%CI):2.21 (1.16–4.22), p = 0.016], and BARC class ≥ 2 bleeding [HR (95%CI):1.91 (1.36–2.70), p < 0.001]. Subgroup analysis indicated consistent relationships between the big ET-1 ≥ 0.54 pmol/l and the primary endpoints.

Conclusion

Elevated plasma big ET-1 levels were independently associated with increased risk of all-cause death, NACE, cardiovascular death, MACE, BARC class ≥ 3 bleeding, and BARC class ≥ 2 bleeding in patients with AF and ACS or undergoing PCI.

The Use of Machine Learning for the Care of Hypertension and Heart Failure

Machine learning (ML) is a branch of artificial intelligence that combines computer science, statistics, and decision theory to learn complex patterns from voluminous data. In the last decade, accumulating evidence has shown the utility of ML for prediction, diagnosis, and classification of hypertension and heart failure (HF). In addition, ML-enabled image analysis has potential value in assessing cardiac structure and function in an accurate, scalable, and efficient way. Considering the high burden of hypertension and HF in China and worldwide, ML may help address these challenges from different aspects. Indeed, prior studies have shown that ML can enhance each stage of patient care, from research and development, to daily clinical practice and population health. Through reviewing the published literature, the aims of the current systemic review are to summarize the utilities of ML for the care of those with hypertension and HF.

Assesment of Markers of Endothelial Dysfunction and Myocardial Stress in Patients with Hypertrophic Cardyomyopathy

Aim. To study the level of serum biomarkers of endothelial dysfunction and myocardial stress in patients with various types of hypertrophic cardiomyopathy (HCM).

Material and Methods. 48 patients with hypertrophic cardiomyopathy (27 men and 21 women) were examined, the mean age was 54±13 years. The patients were divided into two groups according to the course options: group 1 - symptomatic stable course (n=14); group 2 - progressive course of symptomatic HCM (n=34). In accordance with the assigned tasks, all patients underwent determination of biological markers of neurohumoral systems in blood serum using immunofluorescence assay analysis: N-terminal fragment of brain natriuretic peptide (NT-proBNP), von Willebrand factor (vWF), endothelin-1, E-selectin with subsequent evaluation and correlation of results with clinical and instrumental characteristics of patients. When performing echocardiography following parameters were assessed: dimensions of the heart chambers, the thickness of the interventricular septum, the thickness of the posterior wall of the left ventricle (LV), LV mass, LV mass index, the ratio between LV filling in diastole (peak E) and atrial systole (peak A)-(E/A), relative myocardial thickness index, left atrial volume index.

Results. Both groups showed increased levels of NT-proBNP and endothelin-1. E-selectin and vonWillebrand factor remained within the normal range. There was no statistically significant intergroup difference. There was a correlation between the level of the index of the relative myocardial thickness and the level of NT-proBNP (r=0.30; p=0.04). A correlation was found between the level of the vWF marker and the left atrial volume index (r=0.32; p=0.04). When assessing the association of indicators of intracardiac hemodynamics with other markers (E-selectin and endothelin-1, no statistically significant relationships were found.

Conclusion. In the course of the research, it was found that the high activity of endothelin-1 and NT-proBNP reflects endothelial dysfunction and myocardial stress in patients with HCM, especially in patients with a progressive variant of HCM. However, we did not find any changes in the levels of E-selectin and von Willebrand factor, as well as their intergroup differences. These results require additional studies to assess endothelial dysfunction in patients with HCM.

Elevated Plasma Big Endothelin-1 at Admission Is Associated With Poor Short-Term Outcomes in Patients With Acute Decompensated Heart Failure

Objective: We aimed to evaluate the association between plasma big endothelin-1 (ET-1) at admission and short-term outcomes in acute decompensated heart failure (ADHF) patients.

Methods: In this single-center, retrospective study, a total of 746 ADHF patients were enrolled and divided into three groups according to baseline plasma big ET-1 levels: tertile 1 (<0.43 pmol/L, n = 250), tertile 2 (between 0.43 and 0.97 pmol/L, n = 252), and tertile 3 (>0.97 pmol/L, n = 244). The primary outcomes were all-cause death, cardiac arrest, or utilization of mechanical support devices during hospitalization. Logistic regression analysis and net reclassification improvement approach were applied to assess the predictive power of big ET-1 on short-term outcomes.

Results: During hospitalization, 92 (12.3%) adverse events occurred. Etiology, arterial pH, lactic acid, total bilirubin, serum creatine, serum uric acid, presence of atrial fibrillation and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels were positively correlated with plasma big ET-1 level, whereas systolic blood pressure, serum sodium, hemoglobin, albumin, and estimated glomerular filtration rate were negatively correlated. In multivariate logistic regression, tertile 3 compared with tertile 1 had a 3.68-fold increased risk of adverse outcomes [odds ratio (OR) = 3.681, 95% confidence interval (CI) 1.410–9.606, p = 0.008]. However, such adverse effect did not exist between tertile 2 and tertile 1 (OR = 0.953, 95% CI 0.314–2.986, p = 0.932). As a continuous variable, big ET-1 level was significantly associated with primary outcome (OR = 1.756, 95% CI 1.413–2.183, p < 0.001). The C statistic of baseline big ET-1 was 0.66 (95% CI 0.601–0.720, p < 0.001). Net reclassification index (NRI) analysis showed that big ET-1 provided additional predictive power when combining it to NT-proBNP (NRI = 0.593, p < 0.001).

Conclusion: Elevated baseline big ET-1 is an independent predictor of short-term adverse events in ADHF patients and may provide valuable information for risk stratification.

Characteristics and long-term survival of patients with chronic thromboembolic pulmonary hypertension in China

BACKGROUND AND OBJECTIVE

The purpose of this study was to report the characteristics and long-term survival of patients with CTEPH treated in three distinct ways: PEA, BPA and medical therapy.

METHODS

Patients diagnosed with CTEPH were included in the registry that was set up in 18 centres from August 2009 to July 2018. The characteristics and survival of patients with CTEPH receiving the different treatments were reported. Prognostic factors were evaluated by Cox regression model.

RESULTS

A total of 593 patients with CTEPH were included. Eighty-one patients were treated with PEA, 61 with BPA and 451 with drugs. The estimated survival rates at 1, 3, 5 and 8 years were, respectively, 95.2%, 84.6%, 73.4% and 66.6% in all patients; 92.6%, 89.6%, 87.5% and 80.2% in surgical patients; and 95.4%, 88.3%, 71.0% and 64.1% in medically treated patients. The estimated survival rates at 1, 3, 5 and 7 years in patients treated with BPA were 96.7%, 88.1%, 70.0% and 70.0%, respectively. For all patients, PEA was an independent predictor of survival. Other independent risk factors were CHD, cardiac index, PVR, big endothelin-1, APE and 6MWD.

CONCLUSION

This is the first multicentre prospective registry reporting baseline characteristics and estimated survival of patients with CTEPH in China. The long-term survival rates are similar to those of patients in the international and Spanish registries. PEA is an independent predictor of survival.

Breast cancer diagnosis is associated with relative left ventricular hypertrophy and elevated endothelin-1 signaling

BACKGROUND

The survival rates of women with breast cancer have improved significantly over the last four decades due to advances in breast cancer early diagnosis and therapy. However, breast cancer survivors have an increased risk of cardiovascular complications following chemotherapy. While this increased risk of later occurring structural cardiac remodeling and/or dysfunction has largely been attributed to the cardiotoxic effects of breast cancer therapies, the effect of the breast tumor itself on the heart prior to cancer treatment has been largely overlooked. Thus, the objectives of this study were to assess the cardiac phenotype in breast cancer patients prior to cancer chemotherapy and to determine the effects of human breast cancer cells on cardiomyocytes.

METHODS

We investigated left ventricular (LV) function and structure using cardiac magnetic resonance imaging in women with breast cancer prior to systemic therapy and a control cohort of women with comparable baseline factors. In addition, we explored how breast cancer cells communicate with the cardiomyocytes using cultured human cardiac and breast cancer cells.

RESULTS

Our results indicate that even prior to full cancer treatment, breast cancer patients already exhibit relative LV hypertrophy (LVH). We further demonstrate that breast cancer cells likely contribute to cardiomyocyte hypertrophy through the secretion of soluble factors and that at least one of these factors is endothelin-1.

CONCLUSION

Overall, the findings of this study suggest that breast cancer cells play a greater role in inducing structural cardiac remodeling than previously appreciated and that tumor-derived endothelin-1 may play a pivotal role in this process.

Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension

Risk stratification of young patients with hypertension remains challenging. Generally, machine learning (ML) is considered a promising alternative to traditional methods for clinical predictions because it is capable of processing large amounts of complex data. We, therefore, explored the feasibility of an ML approach for predicting outcomes in young patients with hypertension and compared its performance with that of approaches now commonly used in clinical practice. Baseline clinical data and a composite end point—comprising all-cause death, acute myocardial infarction, coronary artery revascularization, new-onset heart failure, new-onset atrial fibrillation/atrial flutter, sustained ventricular tachycardia/ventricular fibrillation, peripheral artery revascularization, new-onset stroke, end-stage renal disease—were evaluated in 508 young patients with hypertension (30.83±6.17 years) who had been treated at a tertiary hospital. Construction of the ML model, which consisted of recursive feature elimination, extreme gradient boosting, and 10-fold cross-validation, was performed at the 33-month follow-up evaluation, and the model’s performance was compared with that of the Cox regression and recalibrated Framingham Risk Score models. An 11-variable combination was considered most valuable for predicting outcomes using the ML approach. The C statistic for identifying patients with composite end points was 0.757 (95% CI, 0.660–0.854) for the ML model, whereas for Cox regression model and the recalibrated Framingham Risk Score model it was 0.723 (95% CI, 0.636–0.810) and 0.529 (95% CI, 0.403–0.655). The ML approach was comparable with Cox regression for determining the clinical prognosis of young patients with hypertension and was better than that of the recalibrated Framingham Risk Score model.

Plasma big endothelin-1 predicts new-onset atrial fibrillation after surgical septal myectomy in patients with hypertrophic cardiomyopathy

Background

Postoperative atrial fibrillation (POAF) is a common complication in patients with obstructive hypertrophic cardiomyopathy (HOCM) who undergo surgical myectomy. POAF is associated with poor outcome. The role of plasma big endothelin-1 level in predicting atrial fibrillation after surgical septal myectomy in HOCM patients has not well been studied.

Methods

A total of 118 patients with HOCM who underwent surgical septal myectomy were recruited in this study. Plasma big endothelin-1 level was measured. The heart rhythm was continuously monitored during hospital stay. Preoperative, intraoperative, and postoperative variables were collected.

Results

POAF developed among 26 of the 118 patients (22%) in this study. Compared with those without POAF, patients with POAF were significantly older (53.5 ± 10.6 vs. 47.3 ± 13.6 years, P = 0.033), more likely to undergo mitral valve surgery (38.5% vs. 18.5%, P = 0.032), and had higher plasma big endothelin-1 levels (0.41 ± 0.19 vs. 0.27 ± 0.14 pmol/l, P = 0.001), longer hospital stay (9.1 ± 3.7 vs. 7.5 ± 2.8 days, P = 0.022), larger preoperative left atria (48.0 ± 5.2 vs. 44.1 ± 5.9 mm; P = 0.003). In the receiver operating characteristic curve analysis, the area under the curve for big endothelin-1 was 0.734 (95% CI, 0.634 to 0.834, P<0.001). In multivariate logistic regression analysis, preoperative big endothelin-1 level (OR 100.7, 95%CI: 5.0–2020.0, P = 0.003) and left atrial diameter (OR 1.106, 95%CI: 1.015–1.205, P = 0.022) were independent predictors of POAF.

Conclusion

Elevated preoperative plasma big endothelin-1 level is an independent predictor of POAF in HOCM patients undergoing surgical septal myectomy.

Association between circulating big endothelin-1 and noncalcified or mixed coronary atherosclerotic plaques

Background

Noncalcified plaques (NCPs) and mixed plaques (MPs) are considered as the high-risk coronary plaques. Endothelin-1 (ET-1) is a vasoactive peptide and shows a high expression in vulnerable plaque. The aim of this study is to investigate the relationship between the bigET-1, the precursor of ET-1, and NCPs/MPs in a Chinese population.

Methods and results

A total of 513 patients with chest pain and suspected coronary artery disease were collected and divided into three groups with no plaques, calcified plaques, or NCPs/MPs according to the characteristics of all the plaques. It demonstrated that NCPs/MPs were associated with elevated bigET-1 (P < 0.001). Moreover, the proportion of NCPs/MPs was significantly increased from 43.3% in bigET-1 tertile 1 to 61.0% in tertile 3 group (P = 0.001). Multiple logistic regression analysis further showed that bigET-1 was an independent predictor for the presence of NCPs/MPs (odds ratio = 1.858; 95% confidence interval: 1.017–3.394; P = 0.044).

Conclusion

The bigET-1 could be an independent predictor for the presence of NCPs/MPs.

Noncalcified plaques (NCPs) and mixed plaques (MPs) are considered as the high risk coronary plaques. Endothelin- 1(ET-1) is a vasoactive peptide and shows a high expression in vulnerable plaque. However, the relationship between circulating ET-1 and NCPs/MPs is still an unanswered question. In the present study, we found that NCPs and MPs were associated with elevated plasma bigET-1, the precursor of ET-1. The patients with NCPs and MPs had significantly elevated bigET-1, compared to those without coronary plaque or those have calcified plaques. Multiple logistic regression analysis further showed that bigET-1 was an independent predictor for the presence of NCPs/MPs. The finding highlights the potential value of this assay in predicting the characteristics of plaques in patients with suspected or known coronary artery disease.

Regulation of the TRPC1 channel by endothelin-1 in human atrial myocytes

BACKGROUND

Our recent study demonstrated that the nonselective cation current mediated by the transient receptor potential canonical 1 (TRPC1) channel is activated by endothelin-1 (ET-1) in human atrial myocytes; however, the related signal molecules involved are unknown.

OBJECTIVE

The purpose of this study was to investigate how the TRPC1 channel is regulated by ET-1 and whether it is upregulated in human atria from patients with atrial fibrillation (AF).

METHODS

Whole-cell patch technique and molecular biology techniques were used in the study.

RESULTS

The ET-1-evoked TRPC1 current was inhibited by the ET-1 type A (ET_A) receptor antagonist BQ123 and the ET-1 type B (ET_B) receptor antagonist BQ788 as well as the protein kinase C inhibitor chelerythrine. ET_A receptor-mediated TRPC1 channel activity was selectively inhibited by the phosphoinositide-3-kinase inhibitor wortmannin, while ET_B receptor-mediated TRPC1 activity was inhibited by the phospholipase C inhibitor U73122. The messenger RNAs and proteins of the TRPC1 channel and ET_A receptor, but not the ET_B receptor, were significantly upregulated in atria from patients with AF. The basal TRPC1 current increased in AF myocytes, and the response to ET-1 was greater in AF myocytes than in sinus rhythm myocytes. ET-1 induced a delayed repolarization in 20% of AF myocytes.

CONCLUSION

These results demonstrate for the first time that TRPC1 activation by ET-1 is mediated by protein kinase C through the distinct phospholipids pathways phosphoinositide-3-kinase and phospholipase C and that the TRPC1 channel and ET_A receptor are upregulated in AF atria, which are likely involved in atrial electrical remodeling in patients with AF.

Endothelin-1 levels and cardiovascular events

Circulating plasma levels of endothelin-1 and related peptides generated during the synthesis of endothelin-1 from its precursor molecule pre-proendothelin-1 have been widely studied as potential risk markers for cardiovascular events. The associations of endothelin-1 with aging, blood pressure, lung function, and chronic kidney disease have been described, as have relations between endothelin-1 levels and evidence of cardiac remodeling, including increased left atrial diameter and increased left ventricular mass. Endothelin-1 has been studied as a predictor of and prognostic marker in coronary artery disease, myocardial infarction, and heart failure. The relationship of endothelin-1 levels to mortality in the general population has also been explored. This review examines the current state of knowledge of circulating endothelin-1 levels as they relate to cardiovascular events and prognosis, and explores future directions for research, including using endothelin-1 or related peptide levels to guide personalized treatment regimens and to select patients for primary prevention strategies.

The association between plasma big endothelin-1 levels at admission and long-term outcomes in patients with atrial fibrillation

BACKGROUND AND AIMS

The prognostic role of big endothelin-1 (ET-1) in atrial fibrillation (AF) is unclear. We aimed to assess its predictive value in patients with AF.

METHODS

A total of 716 AF patients were enrolled and divided into two groups based on the optimal cut-off value of big ET-1 in predicting all-cause mortality. The primary outcomes were all-cause mortality and major adverse events (MAEs). Cox regression analysis and net reclassification improvement (NRI) analysis were performed to assess the predictive value of big ET-1 on outcomes.

RESULTS

With the optimal cut-off value of 0.55 pmol/L, 326 patients were classified into the high big ET-1 levels group. Cardiac dysfunction and left atrial dilation were factors related to high big ET-1 levels. During a median follow-up of 3 years, patients with big ET-1 ≥ 0.55 pmol/L had notably higher risk of all-cause death (44.8% vs. 11.5%, p < 0.001), MAEs (51.8% vs. 17.4%, p < 0.001), cardiovascular death, major bleeding, and tended to have higher thromboembolic risk. After adjusting for confounding factors, high big ET-1 level was an independent predictor of all-cause mortality (hazard ratio (HR) 2.11, 95% confidence interval (CI) 1.46-3.05; p < 0.001), MAEs (HR 2.05, 95% CI 1.50-2.80; p = 0.001), and cardiovascular death (HR 2.44, 95% CI 1.52-3.93; p < 0.001). NRI analysis showed that big ET-1 allowed a significant improvement of 0.32 in the accuracy of predicting the risk of both all-cause mortality and MAEs.

CONCLUSIONS

Elevated big ET-1 levels is an independent predictor of long-term all-cause mortality, MAEs, and cardiovascular death in patients with AF.

Prognostic Value of Free Triiodothyronine Level in Patients With Hypertrophic Obstructive Cardiomyopathy

CONTEXT

Thyroid hormone acts as a fundamental regulator in cardiovascular homeostasis in pathophysiological conditions.

OBJECTIVE

This study aims to determine whether thyroid hormone could be an independent predictor of adverse events in patients with hypertrophic obstructive cardiomyopathy (HOCM).

DESIGN, PATIENTS, AND OUTCOME MEASURES

The original cohort consisted of 965 consecutive patients with HOCM who were admitted to Fuwai Hospital from October 2009 to December 2014, and 756 patients completed thyroid function evaluations. Patients were divided into three groups according to free triiodothyronine (FT3) levels: tertile 1 (<2.81 pg/mL, n = 247), tertile 2 (2.81 to 3.11 pg/mL, n = 250), tertile 3 (3.12 to 4.09 pg/mL, n = 259).

RESULTS

In correlation analysis, FT3 showed significantly positive correlation with left ventricular ejection fraction (r = 0.109, P = 0.003). After a median follow-up of 44 months, a total of 45 (6.0%) endpoints (all-cause mortality or cardiac transplantation) occurred with rates of 13.4%, 3.6%, and 1.2% in tertiles 1, 2, and 3, respectively. Univariate Cox analysis established FT3 as a predictor of endpoint [hazard ratio (HR), 0.111; 95% confidence interval (CI), 0.065, 0.189; P < 0.001]. After adjustment for traditional risk factors, the prognostic value of FT3 level was still significant (HR, 0.216; 95% CI, 0.083, 0.559; P = 0.002). Compared with patients in tertile 3, those in tertile 1 were at a much higher risk of endpoint (HR, 4.918; 95% CI, 1.076, 22.485; P = 0.040).

CONCLUSIONS

FT3 correlated with cardiac function and could serve as an independent predictor of all-cause mortality and cardiac transplantation in patients with HOCM. These results suggest that monitoring thyroid function in HOCM patients is necessary.