Diagnostic and Prognostic Value of Plasma Levels of Cardiac Myosin Binding Protein-C as a Novel Biomarker in Heart Failure

Insights into the Novel Cardiac Biomarker in Acute Heart Failure: Mybp-C

(1) Background: Given its high cardiac specificity and its capacity to directly assess the cardiac function, cardiac myosin-binding protein (MyBP-C) is a promising biomarker in patients with acute heart failure (AHF). The aim of our study was to investigate the clinical utility of this novel marker for diagnosis and short-term prognosis in subjects with AHF. (2) Methods: We measured plasma levels of MyBP-C at admission in 49 subjects (27 patients admitted with AHF and 22 controls). (3) Results: The plasma concentration of MyBP-C was significantly higher in patients with AHF compared to controls (54.88 vs. 0.01 ng/L, p < 0.001). For 30-day prognosis, MyBP-C showed significantly greater AUC (0.972, p < 0.001) than NT-proBNP (0.849, p = 0.001) and hs-TnI (0.714, p = 0.047). In a multivariate logistic regression analysis, an elevated level of MyBP-C was the best independent predictor of 30-day mortality (OR = 1.08, p = 0.039) or combined death/recurrent 30-days rehospitalization (OR = 1.12, p = 0.014). (4) Conclusions: Our data show that circulating MyBP-C is a sensitive and cardiac-specific biomarker with potential utility for the accurate diagnosis and prognosis of AHF.

Serum-soluble suppression of tumourigenicity-2 as a biomarker in children with congestive heart failure

BACKGROUND

We aimed to evaluate serum soluble suppression of tumorigenicity-2 in children with congestive heart failure, to assess the diagnostic and prognostic values of soluble suppression of tumorigenicity-2 in these patients, and to correlate its levels with various clinical and echocardiographic data.

METHODS

We included 60 children with congestive heart failure as the patient group. Sixty healthy children of matched age and sex served as the control group. Patients were evaluated clinically and by echocardiography. Serum level of suppression of tumorigenicity-2 was measured for patients at admission. All patients were followed up for death or readmission for a period of one year.

RESULTS

Soluble suppression of tumorigenicity-2 was significantly higher in children with congestive heart failure as compared to the control group. Soluble suppression of tumorigenicity-2 was significantly increased in patients with higher severity of congestive heart failure. There was a significant increase in soluble suppression of tumorigenicity-2 in patients with bad prognosis compared to those with good prognosis. There was a significant positive correlation between soluble suppression of tumorigenicity-2 and respiratory rate, heart rate, and clinical stage of congenital heart failure, while there was a significant negative correlation between soluble suppression of tumorigenicity-2 and left ventricular systolic and diastolic function. The best cut-off of soluble suppression of tumorigenicity-2 to diagnose congestive heart failure was > 3.6 with 87% sensitivity and 79% specificity. The cut-off point of soluble suppression of tumorigenicity-2 to diagnose congestive heart failure in children was ≥ 31.56 ng/ml, with 95% sensitivity and 91.37% specificity. Moreover, the cut-off point of soluble suppression of tumorigenicity-2 to predict bad prognosis in children with congestive heart failure was ≥ 255.5 ng/ml, with 92% sensitivity and 89.0% specificity.

CONCLUSION

Soluble suppression of tumorigenicity-2 is a good diagnostic and predictive biomarker in children with congestive heart failure.

Predictive Value of Plasma Copeptin Level in Children with Acute Heart Failure

We investigated the ability of copeptin level to predict adverse outcome in pediatric heart failure (HF) and correlated copeptin level with various clinical and echocardiographic data. This cohort study was carried out on forty children with clinical picture of acute HF as the patient group and forty healthy children of matched age and sex as the control group. Echocardiographic examination and plasma copeptin level were performed for all included children at admission. Patients were followed up for 6 months for mortality or readmission. Plasma copeptin level was significantly higher in the patient group (16.2 ± 5) pmol/L compared to the control group (4.1 ± 2.3) pmol/L, P ˂0.001. Moreover, copeptin level was positively correlated with Ross classification, being the highest in patients with class IV (19.6 ± 3.9) pmol/L compared to those with class III (15.2 ± 4) pmol/L and class II (10.4 ± 1.5) pmol/L. Copeptin levels were significantly higher in patients with bad prognosis (21.2 ± 4.1) pmol/L compared to those with good prognosis (14.5 ± 4.1) pmol/L, P ˂0.001. Copeptin level had a significant positive correlation with age, heart rate, respiratory rate, and ROSS classification. On the contrary, copeptin level had a significant negative correlation with left ventricular fraction shortening and diastolic function. Copeptin at cut-off value of ≥ 19.5 pmol/L yielded a sensitivity of 75% and a specificity of 93% to predict adverse outcome in children with HF. Plasma copeptin level has a good prognostic value to predict adverse outcome in pediatric heart failure. Moreover, copeptin correlate well with the severity of pediatric HF.

HFBD: a biomarker knowledge database for heart failure heterogeneity and personalized applications

MOTIVATION

Heart failure (HF) is a cardiovascular disease with a high incidence around the world. Accumulating studies have focused on the identification of biomarkers for HF precision medicine. To understand the HF heterogeneity and provide biomarker information for the personalized diagnosis and treatment of HF, a knowledge database collecting the distributed and multiple-level biomarker information is necessary.

RESULTS

In this study, the HF biomarker knowledge database (HFBD) was established by manually collecting the data and knowledge from literature in PubMed. HFBD contains 2618 records and 868 HF biomarkers (731 single and 137 combined) extracted from 1237 original articles. The biomarkers were classified into proteins, RNAs, DNAs, and the others at molecular, image, cellular and physiological levels. The biomarkers were annotated with biological, clinical and article information as well as the experimental methods used for the biomarker discovery. With its user-friendly interface, this knowledge database provides a unique resource for the systematic understanding of HF heterogeneity and personalized diagnosis and treatment of HF in the era of precision medicine.

AVAILABILITY

The platform is openly available at http://sysbio.org.cn/HFBD/.

Cardiac myosin-binding protein C in the diagnosis and risk stratification of acute heart failure

AIMS

Cardiac myosin-binding protein C (cMyC) seems to be even more sensitive in the quantification of cardiomyocyte injury vs. high-sensitivity cardiac troponin, and may therefore have diagnostic and prognostic utility.

METHODS AND RESULTS

In a prospective multicentre diagnostic study, cMyC, high-sensitivity cardiac troponin T (hs-cTnT), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) plasma concentrations were measured in blinded fashion in patients presenting to the emergency department with acute dyspnoea. Two independent cardiologists centrally adjudicated the final diagnosis. Diagnostic accuracy for acute heart failure (AHF) was quantified by the area under the receiver operating characteristic curve (AUC). All-cause mortality within 360 days was the prognostic endpoint. Among 1083 patients eligible for diagnostic analysis, 51% had AHF. cMyC concentrations at presentation were higher among AHF patients vs. patients with other final diagnoses [72 (interquartile range, IQR 39-156) vs. 22 ng/L (IQR 12-42), P < 0.001)]. cMyC's AUC was high [0.81, 95% confidence interval (CI) 0.78-0.83], higher than hs-cTnT's (0.79, 95% CI 0.76-0.82, P = 0.081) and lower than NT-proBNP's (0.91, 95% CI 0.89-0.93, P < 0.001). Among 794 AHF patients eligible for prognostic analysis, 28% died within 360 days; cMyC plasma concentrations above the median indicated increased risk of death (hazard ratio 2.19, 95% CI 1.66-2.89; P < 0.001). cMyC's prognostic accuracy was comparable with NT-proBNP's and hs-cTnT's. cMyC did not independently predict all-cause mortality when used in validated multivariable regression models. In novel multivariable regression models including medication, age, left ventricular ejection fraction, and discharge creatinine, cMyC remained an independent predictor of death and had no interactions with medical therapies at discharge.

CONCLUSION

Cardiac myosin-binding protein C may aid physicians in the rapid triage of patients with suspected AHF.

Biomarkers for Heart Failure Prognosis: Proteins, Genetic Scores and Non-coding RNAs

Heart failure (HF) is a complex disease in which cardiomyocyte injury leads to a cascade of inflammatory and fibrosis pathway activation, thereby causing decrease in cardiac function. As a result, several biomolecules are released which can be identified easily in circulating body fluids. The complex biological processes involved in the development and worsening of HF require an early treatment strategy to stop deterioration of cardiac function. Circulating biomarkers provide not only an ideal platform to detect subclinical changes, their clinical application also offers the opportunity to monitor disease treatment. Many of these biomarkers can be quantified with high sensitivity; allowing their clinical application to be evaluated beyond diagnostic purposes as potential tools for HF prognosis. Though the field of biomarkers is dominated by protein molecules, non-coding RNAs (microRNAs, long non-coding RNAs, and circular RNAs) are novel and promising biomarker candidates that encompass several ideal characteristics required in the biomarker field. The application of genetic biomarkers as genetic risk scores in disease prognosis, albeit in its infancy, holds promise to improve disease risk estimation. Despite the multitude of biomarkers that have been available and identified, the majority of novel biomarker candidates are not cardiac-specific, and instead may simply be a readout of systemic inflammation or other pathological processes. Thus, the true value of novel biomarker candidates in HF prognostication remains unclear. In this article, we discuss the current state of application of protein, genetic as well as non-coding RNA biomarkers in HF risk prognosis.

Prognostic Value of Serum Apelin Level in Children with Heart Failure Secondary to Congenital Heart Disease

Apelin is an endogenous inotrope that decreased in heart failure (HF). We aimed to evaluate the prognostic value of its level in children with HF due to congenital heart disease (CHD). Sixty children with HF due to CHD were included as a patient group. Sixty healthy children matched for age, sex, and weight served as a control group. Chest X-ray, electrocardiogram (ECG), echocardiography, and laboratory investigations such as complete blood count, c-reactive protein, and serum apelin levels were performed for all included children at admission. All children were followed up for 3 months. Serum apelin level was significantly decreased in patients with HF at admission than healthy control group and this decrease went with advanced stage of HF. Serum apelin levels were significantly decreased in patients with unfavorable prognosis than those with favorable prognosis. At a cutoff lower than 126 ng/l, the sensitivity of serum apelin to predict unfavorable prognosis in children with HF was 96% with a specificity of 82%. Serum apelin level had a significant positive correlation with left ventricular systolic function (P < 0.05). Moreover, it had a significant negative correlation with heart rate, respiratory rate, Ross classification, c-reactive protein, cardiothoracic ratio, and both left and right ventricular dimensions (P < 0.05). Serum apelin level has a good predictive value for adverse outcome in children with HF due to CHD.

Usefulness of Released Cardiac Myosin Binding Protein-C as a Predictor of Cardiovascular Events

Cardiac myosin binding protein-C (cMyBP-C) is a heart muscle-specific thick filament protein. Elevated level of serum cMyBP-C is an indicator of early myocardial infarction (MI), but its value as a predictor of future cardiovascular disease is unknown. Based on the presence of significant amount of cMyBP-C in the serum of previous study subjects independent of MI, we hypothesized that circulating cMyBP-C is a sensitive indicator of ongoing cardiovascular stress and disease. To test this hypothesis, 75 men and 83 women of similar ages were recruited for a prospective study. They underwent exercise stress echocardiography to provide pre- and poststress blood samples for subsequent determination of serum cMyBP-C levels. The subjects were followed for 1 to 1.5 years. Exercise stress increased serum cMyBP-C in all subjects. Twenty-seven primary events (such as death, MI, revascularization, invasive cardiovascular procedure, or cardiovascular-related hospitalization) and 7 critical events (CE; such as death, MI, stroke, or pulmonary embolism) occurred. After adjusting for sex and cardiovascular risk factors with multivariate Cox regression, a 96% sensitive prestress cMyBP-C threshold carried a hazard ratio of 8.1 with p = 0.041 for primary events. Most subjects (6 of 7) who had CE showed normal ejection fraction on echocardiography. Prestress cMyBP-C demonstrated area under receiver operating curve of 0.91 and multivariate Cox regression hazard ratio of 13.8 (p = 0.000472) for CE. Thus, basal cMyBP-C levels reflected susceptibility for a variety of cardiovascular diseases. Together with its high sensitivity, cMyBP-C holds potential as a screening biomarker for the existence of severe cardiovascular diseases.