Circulating miR-133a-3p defines a low-risk subphenotype in patients with heart failure and central sleep apnea: a decision tree machine learning approach.

BACKGROUND: Patients with heart failure with reduced ejection fraction (HFrEF) and central sleep apnea (CSA) are at a very high risk of fatal outcomes. OBJECTIVE: To test whether the circulating miRNome provides additional information for risk stratification on top of clinical predictors in patients with HFrEF and CSA. METHODS: The study included patients with HFrEF and CSA from the SERVE-HF trial. A three-step protocol was applied: microRNA (miRNA) screening (n = 20), technical validation (n = 60), and biological validation (n = 587). The primary outcome was either death from any cause, lifesaving cardiovascular intervention, or unplanned hospitalization for worsening of heart failure, whatever occurred first. MiRNA quantification was performed in plasma samples using miRNA sequencing and RT-qPCR. RESULTS: Circulating miR-133a-3p levels were inversely associated with the primary study outcome. Nonetheless, miR-133a-3p did not improve a previously established clinical prognostic model in terms of discrimination or reclassification. A customized regression tree model constructed using the Classification and Regression Tree (CART) algorithm identified eight patient subphenotypes with specific risk patterns based on clinical and molecular characteristics. MiR-133a-3p entered the regression tree defining the group at the lowest risk; patients with log(NT-proBNP) ≤ 6 pg/mL (miR-133a-3p levels above 1.5 arbitrary units). The overall predictive capacity of suffering the event was highly stable over the follow-up (from 0.735 to 0.767). CONCLUSIONS: The combination of clinical information, circulating miRNAs, and decision tree learning allows the identification of specific risk subphenotypes in patients with HFrEF and CSA.

Incidence, risk assessment and prevention of sudden cardiac death in cardiomyopathies.

Cardiomyopathies are a significant contributor to cardiovascular morbidity and mortality, mainly due to the development of heart failure and increased risk of sudden cardiac death (SCD). Despite improvement in survival with contemporary treatment, SCD remains an important cause of mortality in cardiomyopathies. It occurs at a rate ranging between 0.15% and 0.7% per year (depending on the cardiomyopathy), which significantly surpasses SCD incidence in the age- and sex-matched general population. The risk of SCD is affected by multiple factors including the aetiology, genetic basis, age, sex, physical exertion, the extent of myocardial disease severity, conduction system abnormalities, and electrical instability, as measured by various metrics. Over the past decades, the knowledge on the mechanisms and risk factors for SCD has substantially improved, allowing for a better-informed risk stratification. However, unresolved issues still challenge the guidance of SCD prevention in patients with cardiomyopathies. In this review, we aim to provide an in-depth discussion of the contemporary concepts pertinent to understanding the burden, risk assessment and prevention of SCD in cardiomyopathies (dilated, non-dilated left ventricular, hypertrophic, arrhythmogenic right ventricular, and restrictive). The review first focuses on SCD incidence in cardiomyopathies and then summarizes established and emerging risk factors for life-threatening arrhythmias/SCD. Finally, it discusses validated approaches to the risk assessment and evidence-based measures for SCD prevention in cardiomyopathies, pointing to the gaps in evidence and areas of uncertainties that merit future clarification.

Impact analysis of heart failure across European countries: an ESC-HFA position paper.

Heart failure (HF) is a long-term clinical syndrome, with increasing prevalence and considerable healthcare costs that are further expected to increase dramatically. Despite significant advances in therapy and prevention, mortality and morbidity remain high and quality of life poor. Epidemiological data, that is, prevalence, incidence, mortality, and morbidity, show geographical variations across the European countries, depending on differences in aetiology, clinical characteristics, and treatment. However, data on the prevalence of the disease are scarce, as are those on quality of life. For these reasons, the ESC-HFA has developed a position paper to comprehensively assess our understanding of the burden of HF in Europe, in order to guide future policies for this syndrome. This manuscript will discuss the available epidemiological data on HF prevalence, outcomes, and human costs-in terms of quality of life-in European countries.

Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129.

The coronavirus disease 2019 (COVID-19) pandemic has been as unprecedented as unexpected, affecting more than 105 million people worldwide as of 8 February 2020 and causing more than 2.3 million deaths according to the World Health Organization (WHO). Not only affecting the lungs but also provoking acute respiratory distress, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is able to infect multiple cell types including cardiac and vascular cells. Hence a significant proportion of infected patients develop cardiac events, such as arrhythmias and heart failure. Patients with cardiovascular comorbidities are at highest risk of cardiac death. To face the pandemic and limit its burden, health authorities have launched several fast-track calls for research projects aiming to develop rapid strategies to combat the disease, as well as longer-term projects to prepare for the future. Biomarkers have the possibility to aid in clinical decision-making and tailoring healthcare in order to improve patient quality of life. The biomarker potential of circulating RNAs has been recognized in several disease conditions, including cardiovascular disease. RNA biomarkers may be useful in the current COVID-19 situation. The discovery, validation, and marketing of novel biomarkers, including RNA biomarkers, require multi-centre studies by large and interdisciplinary collaborative networks, involving both the academia and the industry. Here, members of the EU-CardioRNA COST Action CA17129 summarize the current knowledge about the strain that COVID-19 places on the cardiovascular system and discuss how RNA biomarkers can aid to limit this burden. They present the benefits and challenges of the discovery of novel RNA biomarkers, the need for networking efforts, and the added value of artificial intelligence to achieve reliable advances.

Assessment of major mental disorders in a German peripartum cardiomyopathy cohort.

AIMS: Peripartum cardiomyopathy (PPCM) is a heart disease affecting women during the last month of pregnancy or in the first months after delivery. The impact of the disease on mental health is largely unknown. METHODS AND RESULTS: Major mental disorders were assessed by a structured clinical interview in 40 patients with a confirmed PPCM diagnosis, and the data were compared with published prevalence in postpartum women. Circulating biomarkers associated with mental health, such as kynurenine, serotonin, and microRNA (miR)-30e, were evaluated in PPCM and compared with matched healthy pregnancy-matched postpartum controls (PP-Ctrl). Major mental disorders were diagnosed in 65% (26/40) of the PPCM cohort. The prevalence for major depressive disorders was 4-fold, for post-traumatic stress disorder 14-fold, and for panic disorder 6-fold higher in PPCM patients compared with postpartum women without a PPCM diagnosis. Compared with PP-Ctrl, PPCM patients displayed elevated levels of serum kynurenine (P < 0.01), reduced levels of serum serotonin (P < 0.05), and elevated levels of plasma miR-30e (P < 0.05). CONCLUSIONS: The majority of PPCM patients in the present cohort displayed mental disorders with a higher prevalence of major depressive disorders, post-traumatic stress disorder (PTBS), and panic disorder, compared with postpartum women without a PPCM diagnosis. This higher prevalence was associated with an impaired tryptophan metabolism and elevated levels of the depression-associated miR-30e, suggesting a potential predisposition for mental disorders at the time of PPCM diagnosis. Consequently, physicians should be aware of the increased risk for mental disorders in PPCM patients, and psychiatric assessment should be included in the diagnosis and management of PPCM patients.

Baseline cardiovascular risk assessment in cancer patients scheduled to receive cardiotoxic cancer therapies: a position statement and new risk assessment tools from the Cardio-Oncology Study Group of the Heart Failure Association of the European Society of Cardiology in collaboration with the International Cardio-Oncology Society.

This position statement from the Heart Failure Association of the European Society of Cardiology Cardio-Oncology Study Group in collaboration with the International Cardio-Oncology Society presents practical, easy-to-use and evidence-based risk stratification tools for oncologists, haemato-oncologists and cardiologists to use in their clinical practice to risk stratify oncology patients prior to receiving cancer therapies known to cause heart failure or other serious cardiovascular toxicities. Baseline risk stratification proformas are presented for oncology patients prior to receiving the following cancer therapies: anthracycline chemotherapy, HER2-targeted therapies such as trastuzumab, vascular endothelial growth factor inhibitors, second and third generation multi-targeted kinase inhibitors for chronic myeloid leukaemia targeting BCR-ABL, multiple myeloma therapies (proteasome inhibitors and immunomodulatory drugs), RAF and MEK inhibitors or androgen deprivation therapies. Applying these risk stratification proformas will allow clinicians to stratify cancer patients into low, medium, high and very high risk of cardiovascular complications prior to starting treatment, with the aim of improving personalised approaches to minimise the risk of cardiovascular toxicity from cancer therapies.

Propelling Healthcare with Advanced Therapy Medicinal Products: A Policy Discussion.

Recent advances in biomedicine are opening the door to new approaches, and treatment and prevention are being transformed by novel medicines based on genetic engineering, innovative cell-based therapies and tissue-engineered products, and combinations of a medical device with embedded cell or tissue components. These advanced therapy medicinal products (ATMPs) hold one of the keys to making a reality of genuinely personalised medicine. There are an estimated 450 companies across the globe working on the development of gene therapies and more than 1,000 clinical trials underway worldwide, and some 20-30 new ATMPs filings are expected in Europe annually over the next 5 years. But challenges confront the sector, complicating the translation from research into patient access. Scientific, clinical development and regulatory issues are compounded by limited experience with clinical and commercial use, limited manufacturing know-how, high costs, and difficulties in accessing development funding and investment. Pricing and reimbursement and market access issues are an additional challenge, particularly in Europe, where unfamiliarity with the technology and uncertainty over the use of real-world evidence induce caution among clinicians, health technology assessment bodies and payers. There is a need for a review of the suitability of the regulatory and market access framework for these products, focused development of data, public/private partnerships, and fuller collaboration governments, doctors, insurers, patients, and pharmaceutical companies. This paper makes specific recommendations for all stakeholders, ranging from early dialogue on potential products, linking of clinical data and patient registries or standardisation of control frameworks, to a comprehensive approach to evidence generation, assessment, pricing, and payment for ATMPs.

Perspective review of optical imaging in welfare assessment in animal-based research.

To refine animal research, vital signs, activity, stress, and pain must be monitored. In chronic studies, some measures can be assessed using telemetry sensors. Although this methodology provides high-precision data, an initial surgery for device implantation is necessary, potentially leading to stress, wound infections, and restriction of motion. Recently, camera systems have been adapted for animal research. We give an overview of parameters that can be assessed using imaging in the visible, near-infrared, and thermal spectrum of light. It focuses on heart activity, respiration, oxygen saturation, and motion, as well as on wound analysis. For each parameter, we offer recommendations on the minimum technical requirements of appropriate systems, regions of interest, and light conditions, among others. In general, these systems demonstrate great performance. For heart and respiratory rate, the error was <4 beats / min and 5 breaths/min. Furthermore, the systems are capable of tracking animals during different behavioral tasks. Finally, studies indicate that inhomogeneous temperature distribution around wounds might be an indicator of (pending) infections. In sum, camera-based techniques have several applications in animal research. As vital parameters are currently only assessed in sedated animals, the next step should be the integration of these modalities in home-cage monitoring.

MicroRNA therapeutics in cardiovascular medicine.

Cardiovascular diseases are the most common causes of human morbidity and mortality despite significant therapeutic improvements by surgical, interventional and pharmacological approaches in the last decade. MicroRNAs (miRNAs) are important and powerful mediators in a wide range of diseases and thus emerged as interesting new drug targets. An array of animal and even human miRNA-based therapeutic studies has been performed, which validate miRNAs as being successfully targetable to treat a wide range of diseases. Here, the current knowledge about miRNAs therapeutics in cardiovascular diseases on their way to clinical use are reviewed and discussed.

A rapid and simple CYP2D6 genotyping assay--case study with the analgetic tramadol.

There is substantial evidence for a causal relationship between genetic variability of the CYP2D6 gene and changes in the pharmacokinetics of drugs. Therefore, knowledge of single-nucleotide polymorphisms (SNPs) prior to drug administration is highly desired for assisting in the development of individualized pharmacotherapy. We therefore developed a robust assay that detects common CYP2D6 alleles within 60 minutes of blood withdrawal and links carriers of the variant CYP2D6*3 and *4 alleles to the pharmacokinetics of tramadol. This new genotyping assay employs fluorescence resonance energy transfer (FRET) analysis, which permits parallel identification of the CYP2D6*3 and CYP2D6*4 alleles within 60 minutes of blood withdrawal. We determined the genotypes of 100 healthy unrelated individuals and studied the pharmacokinetics of tramadol in 24 CYP2D6 genotyped healthy subjects. The total allelic frequencies of homozygote carriers were 0.015 and 0.25 for the CYP2D6*3 and *4 alleles, respectively, and the plasma area under the curve (AUC) was 84% above those of extensive metabolizers (homozygous EM group): 3,941.2 ng/mL.h (95% confidence interval [CI], 2,928.9 ng/mL.h to 4,953.5 ng/mL.h) versus 2,142.6 ng/mL.h (95% CI, 1,829.6 ng/mL.h to 2,455.7 ng/mL.h). Likewise, the AUC for the O-desmethyl-tramadol metabolite (M1) was significantly reduced in poor metabolizers (PMs): 300.2 ng/mL.h (95% CI, 260.3 ng/mL.h to 340.0 ng/mL.h) versus 842,6 ng/mL.h (95% CI, 715.1 ng/mL.h to 970.0 ng/mL.h). We observed a statistically significant correlation between plasma tramadol AUC and production of the O-desmethyl metabolite in CYP2D6 genotyped healthy volunteers. Our assay can be used reliably in clinical pharmacology studies and may be used for dose adjustment.