Biomarker developments in heart failure: 2016 and beyond

Approaches and Challenges for Biosensors for Acute and Chronic Heart Failure

Heart failure (HF) is a cardiovascular disease defined by several symptoms that occur when the heart cannot supply the blood needed by the tissues. HF, which affects approximately 64 million people worldwide and whose incidence and prevalence are increasing, has an important place in terms of public health and healthcare costs. Therefore, developing and enhancing diagnostic and prognostic sensors is an urgent need. Using various biomarkers for this purpose is a significant breakthrough. It is possible to classify the biomarkers used in HF: associated with myocardial and vascular stretch (B-type natriuretic peptide (BNP), N-terminal proBNP and troponin), related to neurohormonal pathways (aldosterone and plasma renin activity), and associated with myocardial fibrosis and hypertrophy (soluble suppression of tumorigenicity 2 and galactin 3). There is an increasing demand for the design of fast, portable, and low-cost biosensing devices for the biomarkers related to HF. Biosensors play a significant role in early diagnosis as an alternative to time-consuming and expensive laboratory analysis. In this review, the most influential and novel biosensor applications for acute and chronic HF will be discussed in detail. These studies will be evaluated in terms of advantages, disadvantages, sensitivity, applicability, user-friendliness, etc.

A retrospective cohort study on the association between early coagulation disorder and short-term all-cause mortality of critically ill patients with congestive heart failure

Purpose

Coagulation disorder in congestive heart failure (CHF) has been well-documented. The prognostic value of a composite coagulation disorder score, which combines the absolute platelet count, international normalized ratio (INR), and activated partial thromboplastin time (APTT), has not been assessed in CHF. The present study endeavored to explore the association between the coagulation disorder score and adverse outcomes of critically ill patients with CHF.

Methods

Patients diagnosed with CHF in the Medical Information Mart for Intensive Care III (MIMIC-III) database were included in the present retrospective cohort study. The coagulation disorder score was calculated according to the abnormalities of the absolute platelet count, INR, and APTT within 24 h after intensive care unit admission. The primary outcomes were the short-term all-cause mortality, including 30-, 90-day and in-hospital mortalities. The Kaplan-Meier (K-M) survival curve and the Cox proportional hazard model were performed to assess the correlation between coagulation disorder score and outcome events.

Results

A total of 6,895 patients were enrolled in this study and divided into four groups according to the coagulation disorder score. K-M survival curve preliminarily indicated that subjects with higher coagulation disorder score presented lower survival rate and shorter survival time. After adjustment for potential confounders, the multivariate Cox analysis further illustrated that elevated coagulation disorder score as a quartile variable was significantly associated with increased all-cause mortality (quartile 4 vs. quartile 1, 30-day: HR [95% CI], 1.98 [1.50, 2.62], 90-day: HR [95% CI], 1.88 [1.49, 2.37], in-hospital: HR [95%CI], 1.93 [1.42, 2.61]).

Conclusion

In critically ill patients with CHF, ones with high coagulation disorder score tend to be worse clinical prognosis, which would be a promising biomarker and helpful for the management of CHF patients.

A Multibiomarker Latent Class Analysis in Moderate to Advanced Heart Failure: Differentiating Factors

BACKGROUND

Biomarker science in heart failure (HF) is advancing quickly in our ability to diagnosis and treat patients with this complex syndrome. Researchers are urged to not use single-marker strategies, but instead evaluate biomarkers in patterns to better understand their relationship to one another, as well as disease progression. Latent class mixture modeling allows researchers to determine novel associations between biomarkers.

OBJECTIVE

The objectives of this study were to identify and compare latent classes of cardiovascular biomarkers among patients with moderate to advanced HF.

METHODS

This was a cross-sectional study of 96 participants with moderate to advanced HF. Latent class mixture modeling was used to identify unique classes of biomarkers and their associations to sociodemographic and clinical variables.

RESULTS

The average age of the sample was 54 years, with most of the sample being men (77%) and having an average ejection fraction of 23%. Two unique classes of biomarkers were identified. Latent class 1 had higher levels of all biomarkers, whereas latent class 2 had lower levels. The higher biomarker class had, on average, more neurohormonal activation and fluid retention; however, the higher levels of biomarker class were not more likely to be diagnosed with advanced HF or have more comorbidities.

CONCLUSION

By identifying classes of biomarkers, providers may be better able to identify patients who are at risk of progressing into advanced HF quicker or those who are more likely to have more severe complications, such as fluid overload or renal disease.

The anti-microbial peptide LL-37/CRAMP levels are associated with acute heart failure and can attenuate cardiac dysfunction in multiple preclinical models of heart failure

Rationale: Biomarkers for the diagnosis of heart failure (HF) are clinically essential. Circulating antimicrobial peptides LL-37 has emerged as a novel biomarker in cardiovascular disease, however, its relevance as a biomarker for acute HF are undetermined.

Methods: Acute HF patients were enrolled in this study and the serum levels of LL-37/CRAMP (cathelicidin-related antimicrobial peptide) were measured by ELISA. The receiver-operator characteristic (ROC) curve was used to determine if serum LL-37 could be a biomarker for acute HF. Mouse CRAMP (mCRAMP, mouse homolog for human LL-37) was also determined in both heart and serum samples of, transverse aortic constriction (TAC)- and isoproterenol (ISO)-induced HF mice models, and phenylephrine (PE) and angiotensin II (AngII)-induced neonatal mouse cardiomyocytes (NMCMs) hypertrophic models, both intracellular and secreted, by ELISA. The protective effects of mCRAMP were determined in TAC, ISO, and AngII-induced HF in mice while whether HF was exacerbated in AngII-infused animals were checked in mCRAMP knockout mice. The underlying mechanism for protective effects of CARMP in pathological hypertrophy was determined by using a NF-κB agonist together with rCRAMP (rat homolog for human LL-37) in AngII or PE treated neonatal rat cardiomyocytes (NRCMs).

Results: Serum levels of LL-37 were significantly decreased in acute HF patients (area under the curve (AUC) of 0.616), and negatively correlated with NT-proBNP. We further confirmed that mCRAMP was decreased in both heart and serum samples of TAC- and ISO-induced HF mice models. Moreover, in PE and AngII-induced NMCMs hypertrophic models, both intracellular and secreted mCRAMP levels were reduced. Functionally, mCRAMP could attenuate TAC, ISO, and AngII-induced HF in mice while CRAMP deficiency exacerbated HF. Mechanistically, the anti-hypertrophy effects of CRAMP were mediated by NF-κB signaling.

Conclusions: Collectively, serum LL-37 is associated with acute HF and increasing CRAMP is protective against deleterious NF-κB signaling in the rodent.