A multiplexed immunochemical microarray for the determination of cardiovascular disease biomarkers.

A fluorescence antibody microarray has been developed for the determination of relevant cardiovascular disease biomarkers for the analysis of human plasma samples. Recording characteristic protein molecular fingerprints to assess individual's states of health could allow diagnosis to go beyond the simple identification of the disease, providing information on its stage or prognosis. Precisely, cardiovascular diseases (CVDs) are complex disorders which involve different degenerative processes encompassing a collection of biomarkers related to disease progression or stage. The novel approach that we propose is a fluorescent microarray chip has been developed accomplishing simultaneous determination of the most significant cardiac biomarkers in plasma aiming to determine the CVD status stage of the patient. As proof of concept, we have chosen five relevant biomarkers, C-reactive protein (CRP) as biomarker of inflammation, cystatin C (CysC) as biomarker of renal failure that is directly related with heart failure, cardiac troponin I (cTnI) as already established biomarker for cardiac damage, heart fatty acid binding protein as biomarker of ischemia (H-FABP), and finally, NT-proBNP (N-terminal pro-brain natriuretic peptide), a well-established heart failure biomarker. After the optimization of the multiplexed microarray, the assay allowed the simultaneous determination of 5 biomarkers in a buffer solution reaching LODs of 15 ± 5, 3 ± 1, 24 ± 3, 25 ± 3, and 3 ± 1 ng mL-1, for CRP, CysC, H-FABP, cTnI, and NT-proBNP, respectively. After solving the matrix effect, and demonstrating the accuracy for each biomarker, the chip was able to determine 24 samples per microarray chip. Then, the microarray has been used on a small pilot clinical study with 29 plasma samples from clinical patients which suffered different CVD and other related disorders. Results show the superior capability of the chip to provide clinical information related to the disease in terms of turnaround time (1 h 30 min total assay and measurement) and amount of information delivered in respect to reference technologies used in hospital laboratories (clinical analyzers). Despite the failure to detect c-TnI at the reported threshold, the microarray technology could be a powerful approach to diagnose the cardiovascular disease at early stage, monitor its progress, and eventually providing information about an eminent potential risk of suffering a myocardial infarction. The microarray chip here reported could be the starting point for achieving powerful multiplexed diagnostic technologies for the diagnosis of CVDs or any other pathology for which biomarkers have been identified at different stages of the disease.

Hybrid Endometrial-Derived Hydrogels: Human Organoid Culture Models and In Vivo Perspectives.

The endometrium plays a vital role in fertility, providing a receptive environment for embryo implantation and development. Understanding the endometrial physiology is essential for developing new strategies to improve reproductive healthcare. Human endometrial organoids (hEOs) are emerging as powerful models for translational research and personalized medicine. However, most hEOs are cultured in a 3D microenvironment that significantly differs from the human endometrium, limiting their applicability in bioengineering. This study presents a hybrid endometrial-derived hydrogel that combines the rigidity of PuraMatrix (PM) with the natural scaffold components and interactions of a porcine decellularized endometrial extracellular matrix (EndoECM) hydrogel. This hydrogel provides outstanding support for hEO culture, enhances hEO differentiation efficiency due to its biochemical similarity with the native tissue, exhibits superior in vivo stability, and demonstrates xenogeneic biocompatibility in mice over a 2-week period. Taken together, these attributes position this hybrid endometrial-derived hydrogel as a promising biomaterial for regenerative treatments in reproductive medicine.

Deciphering the sex bias in housekeeping gene expression in adipose tissue: a comprehensive meta-analysis of transcriptomic studies.

BACKGROUND: As the housekeeping genes (HKG) generally involved in maintaining essential cell functions are typically assumed to exhibit constant expression levels across cell types, they are commonly employed as internal controls in gene expression studies. Nevertheless, HKG may vary gene expression profile according to different variables introducing systematic errors into experimental results. Sex bias can indeed affect expression display, however, up to date, sex has not been typically considered as a biological variable. METHODS: In this study, we evaluate the expression profiles of six classical housekeeping genes (four metabolic: GAPDH, HPRT, PPIA, and UBC, and two ribosomal: 18S and RPL19) to determine expression stability in adipose tissues (AT) of Homo sapiens and Mus musculus and check sex bias and their overall suitability as internal controls. We also assess the expression stability of all genes included in distinct whole-transcriptome microarrays available from the Gene Expression Omnibus database to identify sex-unbiased housekeeping genes (suHKG) suitable for use as internal controls. We perform a novel computational strategy based on meta-analysis techniques to identify any sexual dimorphisms in mRNA expression stability in AT and to properly validate potential candidates. RESULTS: Just above half of the considered studies informed properly about the sex of the human samples, however, not enough female mouse samples were found to be included in this analysis. We found differences in the HKG expression stability in humans between female and male samples, with females presenting greater instability. We propose a suHKG signature including experimentally validated classical HKG like PPIA and RPL19 and novel potential markers for human AT and discarding others like the extensively used 18S gene due to a sex-based variability display in adipose tissue. Orthologs have also been assayed and proposed for mouse WAT suHKG signature. All results generated during this study are readily available by accessing an open web resource ( https://bioinfo.cipf.es/metafun-HKG ) for consultation and reuse in further studies. CONCLUSIONS: This sex-based research proves that certain classical housekeeping genes fail to function adequately as controls when analyzing human adipose tissue considering sex as a variable. We confirm RPL19 and PPIA suitability as sex-unbiased human and mouse housekeeping genes derived from sex-specific expression profiles, and propose new ones such as RPS8 and UBB.

Housekeeping genes (HKG) are involved in the maintenance of essential cellular functions. They usually present constant expression levels and are relevant because of their usefulness as internal controls in gene expression studies. However, HKG can vary the gene expression profile depending on different variables such as sex, introducing errors in the experimental results. In this study, we have performed an exhaustive systematic review and applied a massive analysis of expression data to check which HKG presents this bias and which do not. The results confirm that certain classical HKG do not perform adequately as controls when analyzing human adipose tissue considering sex as a variable. We further confirm the suitability of RPL19 and PPIA as human and mouse HKG without sex bias derived from sex-specific expression profiles, and propose new ones such as RPS8 and UBB. These results will be of great use in upcoming studies where expression data need to be normalized without the inclusion of sex bias.

Bio-profiling and bio-prognostication of chronic heart failure with mid-range ejection fraction.

BACKGROUND: Recent ESC guidelines on heart failure (HF) have introduced a new phenotype based on left ventricular ejection fraction (LVEF), called the mid-range (HFmrEF). This phenotype falls between the classical reduced (HFrEF) and preserved (HFpEF) HF phenotypes. We aimed to characterize the HFmrEF biomarker profile and outcomes. METHODS: 1069 consecutive ambulatory patients were included in the study (age 66.2 ±â€¯12.8 years); 800 with HFrEF (74.8%), 134 with HFmrEF (12.5%), and 135 with HFpEF (12.5%). We measured serum concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), soluble suppression of tumorigenicity (ST2), galectin-3, high-sensitivity C-reactive protein, cystatin-C, neprilysin, and soluble transferrin receptor, during 4.9 ±â€¯2.8 years of follow-up. The primary end-point was the composite: cardiovascular death or HF-related hospitalization. We also examined all-cause, cardiovascular death, and the composite: all-cause death or HF-related hospitalization. RESULTS: NTproBNP levels in HFmrEF were similar to levels in HFpEF, but significantly lower than levels in HFrEF. No other studied biomarkers were different between HFmrEF and HFrEF. All biomarkers, except neprilysin, showed higher risk prediction capabilities in HFmrEF than in HFrEF or HFpEF. The largest difference between HFrEF and HFmrEF was the hs-TnT level (hazard ratio [HR]: 4.72, 95% CI: 2.81-7.94 vs. HR: 1.67, 95%CI: 1.74-1.89; all p < 0.001). CONCLUSIONS: Although HFmrEF is acknowledged as an intermediate phenotype between HFrEF and HFpEF, from a multi-biomarker point of view, HFmrEF was similar to HFrEF, except that NTproBNP levels were lower. Biomarkers commonly used for HFrEF risk prediction are more valuable for HFmrEF risk stratification.

The evolutionarily conserved factor Sus1/ENY2 plays a role in telomere length maintenance.

Sus1 is a conserved protein involved in histone H2B de-ubiquitination and mRNA export from the nucleus in eukaryotes. Previous studies implicated Sus1 partners in genome integrity including telomere homeostasis. However, the implication of Sus1 in telomere maintenance remains largely unknown. In this study, we found that yeast Sus1 interacts physically and genetically with factors involved in telomere maintenance and its absence leads to elongated telomeres. Deletion of several of Sus1's partners also leads to longer telomeres. Our results rule out a direct role for Sus1 in recruiting telomerase subunits to telomeres. However, we observe that deletion of SUS1 leads to elongated telomeres even in the presence of mutations like sem1Δ, esc2Δ and rsc2Δ, which cause telomere shortening. We find that rsc2Δ (short telomeres) have reduced levels of mono-ubiquitinated histone H2B at lysine 123 (H2BK123ub1), whereas sus1Δ mutants or double-mutants sus1Δ rsc2Δ exhibit longer telomeres and higher H2BK123ub1 levels. These results suggest that Sus1 activity as a H2B de-ubiquitination modulator plays a role in negatively regulating telomere length. Our results provide solid evidence for a role of Sus1 in negatively regulating telomere length through the modulation of H2BK123 mono-ubiquitination and its interaction with the nuclear pore complex.

Impact of diabetes on the predictive value of heart failure biomarkers.

BACKGROUND: Patients with diabetes mellitus (DM) have an increased risk of developing heart failure (HF). Further, DM is associated with poor prognosis in patients with HF. Our aim was to determine whether DM has any impact on the predictive value of a multi-biomarker panel in patients with HF. METHODS: We included 1069 consecutive ambulatory HF patients in the study: age 66.2 ± 12.8 years, 33.5 ± 13.3 left ventricular ejection fraction, 36% diabetic patients. We measured serum concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), ST2, galectin-3, high-sensitivity C reactive protein (hs-CRP), cystatin-C, soluble transferrin receptor (sTfR), and neprilysin and followed patients for 4.9 ± 2.8 years. Primary endpoints were all-cause and cardiovascular death. RESULTS: During follow-up, 534 patients died; 283 died of cardiovascular causes. Diabetic subjects had higher mortality (57.7 vs. 45.6%, p < 0.001). NTproBNP (p = 0.07), hs-TnT (p < 0.001), galectin-3 (p < 0.001), and cystatin-C (p = 0.001) concentrations were higher in diabetic patients, whereas sTfR levels were lower (p = 0.005). There were no interactions between DM and NTproBNP, hs-TnT, galectin-3, hs-CRP, cystatin-C, sTfR, and neprilysin relative to risk prediction for all-cause or cardiovascular death. By contrast, ST2 significantly interacted with DM for all-cause (p = 0.02) and cardiovascular (p = 0.03) death. In diabetic patients, HRs for ST2 were 1.27 (95% CI 1.16-1.40, p < 0.001) and 1.23 (95% CI 1.09-1.39, p = 0.001) for all-cause and cardiovascular death, respectively. In nondiabetic patients, HRs for ST2 were 1.53 (95% CI 1.35-1.73, p < 0.001) and 1.64 (95% CI 1.31-2.05, p < 0.001) for all-cause and cardiovascular death, respectively. The multivariable Cox regression analysis showed that hs-TnT and ST2 were the only markers that were independently associated with both all-cause and cardiovascular mortality in patients with HF and diabetes. Moreover, in these patients, the combination of these two markers significantly increased discrimination as assessed by the area under the curve. CONCLUSIONS: Biomarkers used in the general population to predict the clinical course of heart failure are also useful in patients with diabetes. In these patients, among all the biomarkers analysed only hs-TnT and ST2 were independently associated with both all-cause and cardiovascular mortality.

The real-life value of ST2 monitoring during heart failure decompensation: impact on long-term readmission and mortality.

CONTEXT: Prognostic value of ST2 levels and dynamics has not been investigated in acute heart failure (AHF) using prospective real-life measurements. OBJECTIVE: The objective of this study is to investigate the prognostic value of ST2 in AHF. METHODS: ST2 levels were determined at admission (n = 182) and discharge (n = 85). Primary endpoint was the composite of all-cause death and HF rehospitalisation at one year. RESULTS: Discharge ST2 (HR 2.42 [95% CI 1.46-4], p = 0.001) and ΔST2 (HR 2.32 [95% CI 1.21-4.57], p = 0.01) but not admission ST2, remained independently prognostic for the primary endpoint after comprehensive multivariable adjustment. ST2 significantly improved prognosis stratification on top of clinical variables and NTproBNP. CONCLUSIONS: Routine clinical use of discharge ST2 and ST2 dynamics provide independent prognostic information.

Prediction of survival and magnitude of reverse remodeling using the ST2-R2 score in heart failure: A multicenter study.

BACKGROUND: Cardiac remodeling and its reversibility are key in HF outcomes. The ST2-R2 score was recently developed to predict relevant left ventricular (LV) reverse remodeling (R2) in patients with heart failure (HF). In the present study we sought to validate the ST2-R2 score for grading improvement in LV ejection fraction (EF) and LV size at one year, and to evaluate its prognostic implication up to 4 years. METHODS: A total of 569 patients with baseline LVEF <40% from three international cohorts (Barcelona, TIME-CHF, and PROTECT) were included in the study. Patients were classified into four strata based on their ST2-R2 score, which took into account concentrations of the biomarker ST2, non-ischemic etiology, absence of left bundle branch block, HF duration, baseline LVEF, and ß-blocker treatment. RESULTS: A significant relationship was observed between ST2-R2 scores and changes in LVEF and indexed LV sizes. LVEF recovery (from +5.6% to +17.3%; p<0.001), percentage reduction in LV end-systolic volume index (from -6.1% to -32.1%; p<0.001) and in LV end-systolic diameter index (from -1.1% to -18.6%; p<0.001) increased over the ST2-R2 strata. A similar trend was observed with diastolic parameters. Improvement in LV function and size was inversely predictive of mortality. Hazard ratios for risk of death, using the lower ST2-R2 score strata (<9) as a reference, were 0.49 (p<0.001; score 9-11), 0.27 (p<0.001; score 12-14), and 0.17 (p<0.001; score 15-17). CONCLUSIONS: The ST2-R2 score predicts reverse LV remodeling in HF patients and is useful for predicting mortality up to 4years.

Monitoring Stemness in Long-Term hESC Cultures by Real-Time PCR.

Human embryonic stem cells (hESC) involve long-term cultures that must remain undifferentiated. The real-time PCR (RT-PCR) technique allows the relative quantification of target genes, including undifferentiation and differentiation markers when referred to a housekeeping control with the addition of a calibrator that serves as an internal control to compare different lots of reactions during the time. The main aspects will include a minimal number of cells to be analyzed, genes to be tested, and how to choose the appropriate calibrator sample and the reference gene. In this chapter, we present how to apply the RT-PCR technique, protocols for its performance, experimental setup, and software analysis, as of the gene expression of hESC lines in consecutive passages for long-term culture surveillance.

Estrategia multimarcador para estratificar el pronóstico en insuficiencia cardiaca. Valor de los marcadores neurohumorales: neprilisina frente a NT-proBNP / Multimarker strategy for heart failure prognostication. Value of neurohormonal biomarkers: neprilysin vs NT-proBNP

Introducción y objetivos: La neprilisina degrada numerosos péptidos vasoactivos. La forma soluble de neprilisina, que se ha identificado recientemente en la insuficiencia cardiaca, se asocia con eventos cardiovasculares. Se compararon de manera directa la neprilisina soluble y la fracción aminoterminal del propéptido natriurético cerebral como estratificadores de riesgo, dentro de una estrategia multimarcadores, en una cohorte de pacientes con insuficiencia cardiaca de la práctica clínica real. Métodos: Se determinaron las concentraciones de neprilisina soluble, la fracción aminoterminal del propéptido natriurético cerebral, ST2 y troponina T de alta sensibilidad en 797 pacientes ambulatorios consecutivos con insuficiencia cardiaca seguidos durante 4,7 años. Se llevaron a cabo análisis multivariables exhaustivos y se realizaron comparaciones directas de neprilisina soluble frente a la fracción aminoterminal del propéptido natriurético cerebral mediante estadísticas de rendimiento. El objetivo final principal fue el compuesto por muerte cardiovascular u hospitalización por insuficiencia cardiaca. Un objetivo secundario exploró la muerte cardiovascular sola. Resultados: Las medianas de concentración de neprilisina soluble y la fracción aminoterminal del propéptido natriurético cerebral fueron de 0,64 ng/ml y 1.187 ng/l respectivamente. Ambos biomarcadores presentaron una correlación significativa con la edad (p < 0,001) y las cifras de ST2 (p < 0,001), pero solo la fracción aminoterminal del propéptido natriurético cerebral mostró una correlación significativa con el filtrado glomerular estimado (p < 0,001), el índice de masa corporal (p < 0,001), la fracción de eyección del ventrículo izquierdo (p = 0,02) y la troponina T de alta sensibilidad (p < 0,001). En los análisis de regresión de Cox multivariables, la neprilisina soluble continuó mostrando una asociación independiente con el objetivo compuesto (hazard ratio = 1,14; intervalo de confianza del 95%, 1,02-1,27; p = 0,03) y la muerte cardiovascular (hazard ratio = 1,15; intervalo de confianza del 95%, 1,01-1,31; p = 0,04), pero no así la fracción aminoterminal del propéptido natriurético cerebral. La comparación directa de la neprilisina soluble con la fracción aminoterminal del propéptido natriurético cerebral puso de manifiesto buena calibración y discriminación y reclasificación similares con ambos biomarcadores neurohormonales, pero solo la neprilisina soluble mejoró la bondad de ajuste global. Conclusiones: La neprilisina soluble mantuvo el valor pronóstico independiente al incluirlo en una estrategia multimarcadores, mientras que la fracción aminoterminal del propéptido natriurético cerebral perdió la significación en la estratificación del riesgo en los pacientes ambulatorios con insuficiencia cardiaca. Ambos biomarcadores obtuvieron medidas de rendimiento similares en los análisis de comparación directa (AU)

Introduction and objectives: Neprilysin breaks down numerous vasoactive peptides. The soluble form of neprilysin, which was recently identified in heart failure, is associated with cardiovascular outcomes. Within a multibiomarker strategy, we directly compared soluble neprilysin and N-terminal pro-B-type natriuretic peptide as risk stratifiers in a real-life cohort of heart failure patients. Methods: Soluble neprilysin, N-terminal pro-B-type natriuretic peptide, ST2, and high-sensitivity troponin T levels were measured in 797 consecutive ambulatory heart failure patients followed up for 4.7 years. Comprehensive multivariable analyses and soluble neprilysin vs N-terminal pro-B-type natriuretic peptide head-to-head assessments of performance were performed. A primary composite endpoint included cardiovascular death or heart failure hospitalization. A secondary endpoint explored cardiovascular death alone. Results: Median soluble neprilysin and N-terminal pro-B-type natriuretic peptide concentrations were 0.64 ng/mL and 1187 ng/L, respectively. Both biomarkers significantly correlated with age (P < .001) and ST2 (P < .001), but only N-terminal pro-B-type natriuretic peptide significantly correlated with estimated glomerular filtration rate (P < .001), body mass index (P < .001), left ventricular ejection fraction (P = .02) and high-sensitivity troponin T (P < .001). In multivariable Cox regression analyses, soluble neprilysin remained independently associated with the composite endpoint (hazard ratio = 1.14; 95% confidence interval, 1.02-1.27; P = .03) and cardiovascular death (hazard ratio = 1.15; 95% confidence interval, 1.01-1.31; P = .04), but N-terminal pro-B-type natriuretic peptide did not. The head-to-head soluble neprilysin vs N-terminal pro-B-type natriuretic peptide comparison showed good calibration and similar discrimination and reclassification for both neurohormonal biomarkers, but only soluble neprilysin improved overall goodness-of-fit. Conclusions: When added to a multimarker strategy, soluble neprilysin remained an independent prognosticator, while N-terminal pro-B-type natriuretic peptide lost significance as a risk stratifier in ambulatory patients with heart failure. Both biomarkers performed similarly in head-to-head analyses (AU)

Metabolic Syndrome Predicts Refractoriness to Intravenous Thrombolysis in Acute Ischemic Stroke.

BACKGROUND: Metabolic syndrome (MetS) has been associated with higher resistance to clot lysis at 24 hours after tissue plasminogen activator (tPA) administration in patients with acute ischemic stroke. We aimed to test this hypothesis at earlier time points, when neurointerventional rescue procedures may still be indicated to achieve arterial recanalization. METHODS: This is a prospective and observational study in consecutive stroke patients with MCA occlusion treated with IV tPA. MetS was diagnosed following the unified criteria of the last Joint Interim Statement 2009 participating several major organizations. The primary outcome variable was resistance to thrombolysis, defined as the absence of complete middle cerebral artery recanalization 2 hours after tPA bolus assessed by transcranial color-coded duplex or when rescue mechanical thrombectomy after IV tPA was required. Secondary outcome variables were dramatic neurological improvement (decrease in ≥10 points, or a National Institutes of Health Stroke Scale [NIHSS] score of 0-1 at 24 hours), symptomatic intracerebral hemorrhage following European-Australasian Acute Stroke Study II criteria, infarct volume at 24 hours (calculated by using the formula for irregular volumes, ABC/2), and good outcome (modified Rankin Scale score < 3) at 3 months. RESULTS: A total of 234 patients (median baseline NIHSS score 16 [10-20]) were included and 146 (62.4%) fulfilled MetS criteria. After multivariate analysis, MetS emerged as an independent predictor of resistance to thrombolysis (odds ratio = 2.2 [1.3-4.2], P = .01) and absence of dramatic neurological improvement (odds ratio = .5 [.28-.97], P = .04). In addition, MetS conferred poorer functional outcome, higher symptomatic intracerebral hemorrhage rate, and increased infarct volume, although these associations disappeared after adjustment for covariates. CONCLUSIONS: MetS predicts patients with middle cerebral artery occlusion refractory to early clot dissolution after IV tPA. This finding may help in acute clinical decision-making.

Prognostic Value and Kinetics of Soluble Neprilysin in Acute Heart Failure: A Pilot Study.

OBJECTIVES: This study sought to examine the prognostic value of the soluble form of neprilysin (sNEP) in acute heart failure (AHF) and sNEP kinetics during hospital admission. BACKGROUND: sNEP was recently identified in chronic heart failure (HF) and was associated with cardiovascular outcomes. METHODS: A total of 350 patients (53% women, mean 72.6 ± 10.7 years of age) were included in the study. Primary endpoints were composites of cardiovascular death or HF hospitalizations at short-term (2 months) and long-term (mean: 1.8 ± 1.2 years) follow-up. sNEP was measured using an ad hoc-modified enzyme-linked immunosorbent assay, and its prognostic value was assessed using Cox regression analyses. In a subgroup of patients, sNEP was measured both at admission and at discharge (n = 92). RESULTS: Median admission sNEP concentrations were 0.67 ng/ml (Q1 to Q3: 0.37 to 1.29), and sNEP was significantly associated, in age-adjusted Cox regression analyses, with the composite endpoint at short-term (hazard ratio [HR]: 1.29; 95% confidence interval [CI]: 1.04 to 1.61; p = 0.02) and long-term (HR: 1.23; 95% CI: 1.01 to 1.05; p = 0.003) follow-up. In multivariate Cox analyses that included clinical variables and N-terminal prohormone of brain natriuretic peptide (NT-proBNP) concentration, sNEP concentration at admission showed a clear trend toward significance for the composite endpoint at 2 months (HR: 1.22; 95% CI: 0.97 to 1.53; p = 0.09) and remained significant at the end of follow-up (HR: 1.21; 95% CI: 1.04 to 1.40; p = 0.01). At discharge, sNEP levels decreased from 0.70 to 0.52 ng/ml (p = 0.06). CONCLUSIONS: Admission sNEP concentration was associated with short- and long-term outcomes in AHF, and dynamic sNEP concentrations were observed during hospital admission. These preliminary data may be hypothesis-generating for the use of NEP inhibitors in AHF.

Multimarker Strategy for Heart Failure Prognostication. Value of Neurohormonal Biomarkers: Neprilysin vs NT-proBNP.

INTRODUCTION AND OBJECTIVES: Neprilysin breaks down numerous vasoactive peptides. The soluble form of neprilysin, which was recently identified in heart failure, is associated with cardiovascular outcomes. Within a multibiomarker strategy, we directly compared soluble neprilysin and N-terminal pro-B-type natriuretic peptide as risk stratifiers in a real-life cohort of heart failure patients. METHODS: Soluble neprilysin, N-terminal pro-B-type natriuretic peptide, ST2, and high-sensitivity troponin T levels were measured in 797 consecutive ambulatory heart failure patients followed up for 4.7 years. Comprehensive multivariable analyses and soluble neprilysin vs N-terminal pro-B-type natriuretic peptide head-to-head assessments of performance were performed. A primary composite endpoint included cardiovascular death or heart failure hospitalization. A secondary endpoint explored cardiovascular death alone. RESULTS: Median soluble neprilysin and N-terminal pro-B-type natriuretic peptide concentrations were 0.64ng/mL and 1187 ng/L, respectively. Both biomarkers significantly correlated with age (P<.001) and ST2 (P<.001), but only N-terminal pro-B-type natriuretic peptide significantly correlated with estimated glomerular filtration rate (P<.001), body mass index (P<.001), left ventricular ejection fraction (P=.02) and high-sensitivity troponin T (P<.001). In multivariable Cox regression analyses, soluble neprilysin remained independently associated with the composite endpoint (hazard ratio=1.14; 95% confidence interval, 1.02-1.27; P=.03) and cardiovascular death (hazard ratio=1.15; 95% confidence interval, 1.01-1.31; P=.04), but N-terminal pro-B-type natriuretic peptide did not. The head-to-head soluble neprilysin vs N-terminal pro-B-type natriuretic peptide comparison showed good calibration and similar discrimination and reclassification for both neurohormonal biomarkers, but only soluble neprilysin improved overall goodness-of-fit. CONCLUSIONS: When added to a multimarker strategy, soluble neprilysin remained an independent prognosticator, while N-terminal pro-B-type natriuretic peptide lost significance as a risk stratifier in ambulatory patients with heart failure. Both biomarkers performed similarly in head-to-head analyses.

Biomarker-assist score for reverse remodeling prediction in heart failure: The ST2-R2 score.

BACKGROUND: Limited data exists regarding biomarker use to predict left ventricular (LV) reverse remodeling (R2). Our aim was to examine the value of soluble ST2 (ST2), N-terminal-pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-cTnT), and galectin-3 relative to LV-R2 in systolic heart failure (HF), and to develop a clinical score for LV-R2 prediction. METHODS: R2 was defined as a) LV ejection fraction (LVEF) increase ≥15%, or b) LVEF increase ≥10% plus reduction of LV end-systolic diameter index ≥20% or LV end-systolic volume ≥40%, for 12 months. RESULTS: We studied 304 patients (79.6% men, mean age 66.1 ± 12.3 years) with baseline LVEF <40%. R2 was observed in 104 patients (34.2%). In univariable logistic regression, factors associated with R2 were age (p=0.02), non-ischemic etiology of HF (p<0.001), NYHA functional class (p=0.02), baseline LVEF (p=0.005), absence of left bundle branch block (LBBB; p=0.002), ST2 (p=0.004), NT-proBNP (p=0.005), and hs-cTnT (p<0.001); HF duration achieved borderline significance (p=0.08). In multivariable analysis, ST2 remained the only biomarker associated with LV-R2. We developed the ST2-R2 score for use in clinical practice for predicting R2; variables included were ST2 <48 ng/mL, non-ischemic etiology, absence of LBBB, HF duration <12 months, baseline LVEF <24%, and ß-blocker treatment. The score had an area under the curve of 0.79 in the derivation cohort and 0.73 in a separate validation cohort. CONCLUSIONS: The ST2-R2 score, which includes the novel biomarker ST2 and five clinical variables, reasonably predicts LV-R2 in systolic HF patients. ST2 was the only studied biomarker that was independently associated with R2.

Soluble neprilysin is predictive of cardiovascular death and heart failure hospitalization in heart failure patients.

BACKGROUND: Neprilysin is a membrane-bound enzyme that breaks down natriuretic peptides. The PARADIGM-HF (Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure) trial showed that patients with heart failure (HF) treated with an angiotensin receptor neprilysin inhibitor lived longer without being hospitalized for HF than those receiving standard care with enalapril. OBJECTIVES: This study sought to assess the presence of circulating soluble neprilysin in a real-life cohort of HF patients and correlate neprilysin levels with outcomes. METHODS: Circulating soluble neprilysin was measured with a modified sandwich immunoassay in consecutive ambulatory patients with HF who were followed up for 4.1 years. Associations between neprilysin level and a composite endpoint that included cardiovascular death or HF hospitalization were explored. RESULTS: Median neprilysin concentration in 1,069 patients was 0.642 ng/ml (median quartile 1 to 3: 0.385 to 1.219). Neprilysin weakly but significantly correlated with age (rho = 0.16; p < 0.001). In age-adjusted Cox regression analyses, neprilysin concentrations were significantly associated with the composite endpoint (hazard ratio [HR]: 1.17; 95% confidence interval [CI]: 1.06 to 1.29; p = 0.001) and cardiovascular death (HR: 1.19; 95% CI: 1.06 to 1.32; p = 0.002). In comprehensive multivariable analyses, soluble neprilysin remained significantly associated with both the composite endpoint (HR: 1.18; 95% CI: 1.07 to 1.31; p = 0.001) and cardiovascular death (HR: 1.18; 95% CI: 1.05 to 1.32; p = 0.006). CONCLUSIONS: Identification of circulating neprilysin in HF patients and the positive association of neprilysin with cardiovascular mortality and morbidity further support the importance of NEP inhibition for augmenting natriuretic peptides as a therapeutic target.

ST2 pathogenetic profile in ambulatory heart failure patients.

BACKGROUND: Soluble ST2 is involved in multiple pathogenic pathways, including cardiac strain, inflammation, and myocardial necrosis with remodeling. The relative weight of ST2 and the point at which its prognostic value in heart failure (HF) is affected by different degrees of myocardial strain, inflammation, necrosis, and remodeling is unknown. METHODS AND RESULTS: We examined whether soluble ST2 levels improves HF risk stratification relative to other biomarkers representative of multiple pathogenic pathways-N-terminal pro-B-type natriuretic peptide (NT-proBNP; strain), high-sensitivity C-reactive protein (hsCRP; inflammation), and galectin-3 and high-sensitivity troponin T (hsTnT; necrosis and remodeling)-in 1,015 patients with mean left ventricular ejection fraction (LVEF) 33.5%. Mean follow-up was 4.2 ± 2.1 years. The correlation with soluble ST2 was highest with NT-proBNP (r = 0.32; P < .001) and lowest with galectin-3 (r = 0.15; P < .001). ST2 levels increased with increasing concentrations of the other biomarkers (P < .001 in all cases). During follow-up, 467 patients died. Soluble ST2 remained an independent prognosticator of risk at every tertile of each biomarker. This was observed even after adjusting for clinical parameters. CONCLUSIONS: Soluble ST2 may be regarded as a 3-in-1 prognosis biomarker in HF. ST2 provides valuable long-term risk stratification information in HF beyond that reported by other biomarkers of stretch, inflammation, necrosis, and remodeling.

Renal function largely influences Galectin-3 prognostic value in heart failure.

BACKGROUND: Galectin-3 (Gal-3) has been associated with cardiac remodeling and heart failure (HF) prognosis. Renal function is also a well known HF prognostic indicator. The link between renal insufficiency, HF, and Gal-3 is not completely elucidated. METHODS AND RESULTS: We explored the association between Gal-3 and renal function in a cohort of 876 consecutive ambulatory patients with HF (mean age: 68 years; mean left ventricular ejection fraction [LVEF]: 36%), 52.2% had HF etiology of ischemic heart disease. Circulating Gal-3 was highly correlated with estimated glomerular filtration rate (eGFR), calculated with either the chronic kidney disease-epidemiology (CKD-EPI) equation (r = -0.64) or the CKD-EPI-cystatin-C equation (r = -0.59) and with Cystatin-C levels (r = 0.70), after adjusting for age, sex, New York Heart Association (NYHA) functional class, LVEF, and HF etiology (all p<0.001). Patients were stratified by CKD-EPI-eGFR (ml/min/1.73 m(2)), as follows: ≥ 60 (n = 218), 30 to 59 (n = 434), and <30 (n = 224). In these strata, Gal-3 significantly increased (median [IQR]: 12.3 [10.4-15.6]; 16.1 [13-19.8]; and 24.5 [20-33.8] ng/ml, respectively; trend p < 0.001). This was independent of NYHA functional class (I-II and III-IV) and LVEF (<45% and ≥ 45%). Gal-3 was associated with mortality in univariate analyses, but after adjusting for CKD-EPI-eGFR, the hazard ratios were 1.10 (95% CI: 0.89-1.34, p = 0.39) for all cause death, and 0.90 (95% CI: 0.68-1.21, p = 0.50) for cardiovascular death. Similar results were obtained with eGFRs calculated with the CKD-EPI-cystatin-C equation. CONCLUSION: Circulating Gal-3 was highly associated with renal function in outpatients with HF. The value of Gal-3 for HF prognosis declined after adjusting for renal function.

Development of a novel heart failure risk tool: the barcelona bio-heart failure risk calculator (BCN bio-HF calculator).

BACKGROUND: A combination of clinical and routine laboratory data with biomarkers reflecting different pathophysiological pathways may help to refine risk stratification in heart failure (HF). A novel calculator (BCN Bio-HF calculator) incorporating N-terminal pro B-type natriuretic peptide (NT-proBNP, a marker of myocardial stretch), high-sensitivity cardiac troponin T (hs-cTnT, a marker of myocyte injury), and high-sensitivity soluble ST2 (ST2), (reflective of myocardial fibrosis and remodeling) was developed. METHODS: Model performance was evaluated using discrimination, calibration, and reclassification tools for 1-, 2-, and 3-year mortality. Ten-fold cross-validation with 1000 bootstrapping was used. RESULTS: The BCN Bio-HF calculator was derived from 864 consecutive outpatients (72% men) with mean age 68.2 ± 12 years (73%/27% New York Heart Association (NYHA) class I-II/III-IV, LVEF 36%, ischemic etiology 52.2%) and followed for a median of 3.4 years (305 deaths). After an initial evaluation of 23 variables, eight independent models were developed. The variables included in these models were age, sex, NYHA functional class, left ventricular ejection fraction, serum sodium, estimated glomerular filtration rate, hemoglobin, loop diuretic dose, ß-blocker, Angiotensin converting enzyme inhibitor/Angiotensin-2 receptor blocker and statin treatments, and hs-cTnT, ST2, and NT-proBNP levels. The calculator may run with the availability of none, one, two, or the three biomarkers. The calculated risk of death was significantly changed by additive biomarker data. The average C-statistic in cross-validation analysis was 0.79. CONCLUSIONS: A new HF risk-calculator that incorporates available biomarkers reflecting different pathophysiological pathways better allowed individual prediction of death at 1, 2, and 3 years.

Head-to-head comparison of 2 myocardial fibrosis biomarkers for long-term heart failure risk stratification: ST2 versus galectin-3.

OBJECTIVES: ST2 and galectin-3 (Gal-3) were compared head-to-head for long-term risk stratification in an ambulatory heart failure (HF) population on top of other risk factors including N-terminal pro-B-type natriuretic peptide. BACKGROUND: ST2 and Gal-3 are promising biomarkers of myocardial fibrosis and remodeling in HF. METHODS: This cohort study included 876 patients (median age: 70 years, median left ventricular ejection fraction: 34%). The 2 biomarkers were evaluated relative to conventional assessment (11 risk factors) plus N-terminal pro-B-type natriuretic peptide in terms of discrimination, calibration, and reclassification analysis. Endpoints were 5-year all-cause and cardiovascular mortality, and the combined all-cause death/HF hospitalization. RESULTS: During a median follow-up of 4.2 years (5.9 for alive patients), 392 patients died. In bivariate analysis, Gal-3 and ST2 were independent variables for all endpoints. In multivariate analysis, only ST2 remained independently associated with cardiovascular mortality (hazard ratio: 1.27, 95% confidence interval [CI]: 1.05 to 1.53, p = 0.014). Incorporation of ST2 into a full-adjusted model for all-cause mortality (including clinical variables and N-terminal pro-B-type natriuretic peptide) improved discrimination (C-statistic: 0.77, p = 0.004) and calibration, and reclassified significantly better (integrated discrimination improvement: 1.5, 95% CI: 0.5 to 2.5, p = 0.003; net reclassification index: 9.4, 95% CI: 4.8 to 14.1, p < 0.001). Incorporation of Gal-3 showed no significant increase in discrimination or reclassification and worse calibration metrics. On direct model comparison, ST2 was superior to Gal-3. CONCLUSIONS: Head-to-head comparison of fibrosis biomarkers ST2 and Gal-3 in chronic HF revealed superiority of ST2 over Gal-3 in risk stratification. The incremental predictive contribution of Gal-3 to existing clinical risk factors was trivial.

Long-term prognostic value for patients with chronic heart failure of estimated glomerular filtration rate calculated with the new CKD-EPI equations containing cystatin C.

BACKGROUND: Correct estimation of renal function is crucial in assessing prognosis of patients with heart failure (HF). Recently, two new equations have been proposed to calculate estimated glomerular filtration rate (eGFR) with cystatin C alone or both creatinine and cystatin C. We assessed the prognostic value of eGFR estimated by these new equations in outpatients with HF. METHODS: The study included 879 patients with median age, 70.4 years; main etiology of HF ischemic heart disease, 52.7%; and median LVEF, 34%. RESULTS: eGFR estimates by the new equations correlated significantly with eGFR estimates from previous equations, with the best correlation observed between the 2 equations containing cystatin C [intraclass correlation coefficient 0.95 (95% confidence interval 0.94-0.95)]. During a median follow-up of 3.94 years, 371 patients died. The Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equations containing cystatin C were found to be best for predicting death [area under the ROC curve 0.685 for CKD-EPI-cystatin C and 0.672 for CKD-EPI-creatinine-cystatin C vs 0.632 for simplified Modification of Diet in Renal Disease Study traceable to isotope dilution mass spectrometry and 0.643 for CKD-EPI (all P < 0.001)]. The CKD-EPI-cystatin C equations also showed significantly better calibration and reclassification measurements for both integrated discrimination improvement and net reclassification improvement in predicting death (P < 0.001). Reclassification with these new equations was particularly better in the subgroup with intermediate eGFR [45-74 mL · min(-1) · (1.73 m(2))(-1)]. CONCLUSIONS: The two new CKD-EPI equations containing cystatin C are useful for HF risk stratification and show better prognostic performance than creatinine-only based eGFR equations, mostly in patients with intermediate eGFR. These equations seem appropriate for assessing prognosis of HF patients with moderate renal insufficiency.