Serum Neprilysin and Recurrent Admissions in Patients With Heart Failure

Our aim was to evaluate the association between the soluble form of neprilysin () levels and long-term all-cause, cardiovascular, and acute heart failure () recurrent admissions in an ambulatory cohort of patients with heart failure. has emerged as a new biomarker with promising implications for prognosis and therapy in patients with heart failure. Reducing the recurrent admission rate of heart failure patients has become an important target of public health planning strategies. We measured levels in 1021 consecutive ambulatory heart failure patients. End points were the number of all-cause, cardiovascular, and hospitalizations during follow-up. We used covariate-adjusted incidence rate ratios to identify associations. At a median follow-up of 3.4 years (interquartile range: 1.8-5.7), 391 (38.3%) patients died, 477 (46.7%) patients had 1901 all-cause admissions, 324 (31.7%) patients had 770 cardiovascular admissions, and 218 (21.4%) patients had 488 admissions. The medians for and amino-terminal pro-brain natriuretic peptide were 0.64 ng/mL (interquartile range: 0.39-1.22) and 1248 pg/mL (interquartile range: 538-2825), respectively. In a multivariate setting, the adjusted incidence rate ratios for the top (>1.22 ng/mL) versus the bottom (≤0.39 ng/mL) quartiles of were 1.37 (95% confidence interval: 1.03-1.82), P =0.032; 1.51 (95% confidence interval: 1.10-2.06), P =0.010; and 1.51 (95% confidence interval: 1.05-2.16), P =0.026 for all-cause, cardiovascular, and admissions, respectively. Elevated levels predicted an increased risk of recurrent all-cause, cardiovascular, and admissions in ambulatory patients with heart failure

Transfection of Vitamin D3-Induced Tolerogenic Dendritic Cells for the Silencing of Potential Tolerogenic Genes. Identification of CSF1R-CSF1 Signaling as a Glycolytic Regulator

The use of autologous tolerogenic dendritic cells (tolDC) has become a promising strategy to re-establish immune tolerance in autoimmune diseases. Among the different strategies available, the use of vitamin D3 for the generation of tolDC (VitD3-tolDC) has been widely tested because of their immune regulatory properties. To identify molecules and pathways involved in the generation of VitD3-tolDC, we established an easy and fast gene silencing method based on the use of Viromer blue to introduce siRNA into monocytes on day 1 of culture differentiation. The analysis of the effect of CD209 (DC-SIGN) and CD115 (CSF1R) down-modulation on the phenotype and functionality of transfected VitD3-tolDC revealed a partial role of CD115 in their tolerogenicity. Further investigations showed that CSF1R-CSF1 signaling is involved in the induction of cell metabolic reprogramming, triggering glycolysis to produce high amounts of lactate, a novel suppressive mechanism of T cell proliferation, recently found in autologous tolerogenic dendritic cells (ATDCs)

Low levels of few micronutrients may impact COVID-19 disease progression : an observational study on the first wave

We report an observational study performed between March and May 2020 in a Spanish university hospital during the SARS-CoV-2 pandemic. The main objective was to analyse the association between the levels of micronutrients in severe Covid-19 patients and their outcome. Adult patients with a positive polymerase-chain-reaction (PCR) for SARS-CoV-2 in the nasopharyngeal swab or in tracheal aspirate culture in the case of intubation were included. Micronutrient data were obtained from plasma analysis of a standard nutritional assessment performed within the first 24 h of hospital admission. Vitamins A, B6, C and E were analysed with HPLC methods; 25-OH-vitamin D by immunoassay and zinc by colorimetric measurements. One hundred and twenty patients were included. We found that 74.2% patients had low levels of zinc (normal levels >84 µg/dL) with a mean value of 63.5 (SD 13.5); 71.7% patients had low levels of vitamin A (normal levels >0.3 mg/L) with a mean value of 0.17 (SD 0.06); 42.5% patients had low levels of vitamin B6 (normal levels >3.6 ng/mL) with a mean value of 2.2 (SD 0.9); 100% patients had low levels of vitamin C (normal levels >0.4 mg/dL) with a mean value of 0.14 (SD 0.05); 74.3% patients had low values of vitamin D (normal levels >20 ng/mL) with mean value of 11.4 (SD 4.3); but only 5.8% of patients had low levels of vitamin E (normal levels >5 mg/L) with a mean value of 3.95 (SD 0.87). The variables associated with the need for ICU admission were low levels of zinc (standard error 0.566, 95% CI 0.086 to 0.790, p = 0.017), low levels of vitamin A (standard error 0.582, 95% CI 0.061 to 0.594, p = 0.004), age over 65 (standard error 0.018, 95% CI 0.917 to 0.985, p = 0.005) and male gender (standard error 0.458, 95% CI 1.004 to 6.040, p = 0.049). The only variable that was independently associated with the need for orotracheal intubation was low levels of vitamin A (standard error 0.58, 95% CI 0.042 to 0.405, p = 0.000). Conclusions: Low levels of vitamin A and zinc are associated with a greater need for admission to the ICU and orotracheal intubation. Patients older than 65 years had higher mortality. Randomized clinical trials are needed to examine whether micronutrient supplementation could be beneficial as an adjunctive treatment in COVID-19

Clinical Role of CA125 in Worsening Heart Failure A BIOSTAT-CHF Study Subanalysis

OBJECTIVES The aim of this study was to evaluate the association between antigen carbohydrate 125 (CA125) and the risk of 1-year clinical outcomes in patients with worsening heart failure (HF).BACKGROUND CA125 is a widely available biomarker that is up-regulated in patients with acute HF and has been postulated as a useful marker of congestion and risk stratification.METHODS hi a large multicenter cohort of patients with worsening HF, either in-hospital or in the outpatient setting, the independent associations between CA125 and 1-year death and the composite of death/HF readmission (adjusted for outcome-specific prognostic risk score [BIOSTAT risk score]) were determined by using the Royston-Parmar method (N = 2356). In a sensitivity analysis, the prognostic implications of CA125 were also adjusted for a composite congestion score (CCS). Data were validated in the B1OSTAT-CHF (Biology Study to Tailored Treatment in Chronic Heart Failure validation) cohort (N = 1,630).RESULTS Surrogates of congestion, such as N-terminal pro-B-type natriuretic peptide and CCS, emerged as independent predictors of CA125. In muttivariabte survival analyses, higher CA125 was associated with an increased risk of mortality and the composite of death/HF readmission (p &lt;0.001 for both comparisons), even after adjustment for the CCS (p &lt;0.010 for both comparisons). The addition of CA125 to the B1OSTAT score led to a significant risk reclassification for both outcomes (category-free net reclassification improvement 0.137 [p &lt;0.001] and 0.104 [p 0.003] respectively). AR outcomes were confirmed in an independent validation cohort.CONCLUSIONS In patients with worsening HF, higher levels of CA125 were positively associated with parameters of congestion. Furthermore, CA125 remained independently associated with a higher risk of clinical outcomes, even beyond a predefined risk model and clinical surrogates of congestion. (C) 2020 by the American College of Cardiology Foundation.</p

Multi-Biomarker Profiling and Recurrent Hospitalizations in Heart Failure

Altres ajuts: Fundació La Marató de TV3 (no.201502-30), Sociedad Española de Cardiología, Societat Catalana de CardiologiaDespite advances in pharmacologic therapy and devices, patients with heart failure (HF) continue to have significant rehospitalization rates and risk prediction remains challenging. We sought to explore the value of a multi-biomarker panel [including NT-proBNP, high-sensitivity cardiac troponin T (hs-TnT), and ST2] on top of clinical assessment for long-term prediction of recurrent hospitalizations in HF. NT-proBNP, hs-TnT, and ST2 (suppression of tumorigenicity-2) levels were measured in 891 consecutive ambulatory HF patients. The independent association between the multi-biomarker panel and recurrent hospitalizations was assessed through a multivariable negative binomial regression and expressed as incidence rates ratios. McFadden pseudo- R 2 and goodness-of-fit measures were also used. The total number of unplanned hospitalizations [all-cause, cardiovascular (CV)-, and HF-related] were selected as the primary endpoints. At a mean follow-up of 4.2 ± 2.1 years, 1623 all-cause hospitalizations in 498 patients (55.9%), 710 CV-related hospitalizations in 331 patients (37.2%), and 444 HF-related hospitalizations in 214 patients (24.1%) were registered. The crude incidence of all-cause, CV-, and HF-related recurrent hospitalizations was significantly higher for patients with the multi-biomarker panel above the cut-point (hs-TnT > 14 ng/L, NT-proBNP > 1000 ng/L, and ST2 > 35 ng/mL) (all P < 0.001). For all-cause, CV-, and HF-related recurrent hospitalizations, the McFadden R 2, Akaike information criterion, and Bayesian information criterion supported the superiority of incorporating the multi-biomarker panel into a clinical predictive model. A multi-biomarker approach based on NT-proBNP, hs-TnT, and ST2 better identifies HF patients at risk for recurrent hospitalizations as compared to approaches entailing just one or two of these biomarkers. Elucidation of new biophysiological predictors for recurrent hospitalizations may identify patient profiles for focused intervention

Impact of diabetes on the predictive value of heart failure biomarkers

Altres ajuts: This study was funded by the Redes Temáticas de Investigación Cooperativa en Salud (RETICS); Red Cardiovascular (RD12/0042/0047) as part of the Plan Nacional de I+D+I.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. 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. 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. 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

Escola catalana

Resumen del autor en catalánLa hipótesis de investigación -totalmente confirmada por una gran masa documental- es esta: hubo en la España de unos años precisos (1038-70) un modelo de iglesia en fuerte alianza-simbiosis con la dictadura franquista (surgida de un golpe de estado militar llamado por los obispos cruzada). Este modelo de iglesia, además de legitimar el régimen, trató de : a)sacralizar la sociedad civil (en un tipo de retorno a la edad media, por la vía de un nuevo orden franquista), b)infundir en las conciencias una visión espiritualista del mundo con unas secuelas en la conducta individual y privada de toda una generación (sacrificio, cruz, negación de sí mismo, comportamiento sexual, papel subordinado de la mujer...) y c)instaurar un fuerte clericalismo y autoritarismo fundamentalista (erigiendo como primer principio, de evidencia inmediata, el del sometimiento total a la autoridad, muy afín al principio fascista 'el jefe nunca se equivoca').ES

Escola catalana

Resumen del autor en catalánLa hipótesis de investigación -totalmente confirmada por una gran masa documental- es esta: hubo en la España de unos años precisos (1038-70) un modelo de iglesia en fuerte alianza-simbiosis con la dictadura franquista (surgida de un golpe de estado militar llamado por los obispos cruzada). Este modelo de iglesia, además de legitimar el régimen, trató de : a)sacralizar la sociedad civil (en un tipo de retorno a la edad media, por la vía de un nuevo orden franquista), b)infundir en las conciencias una visión espiritualista del mundo con unas secuelas en la conducta individual y privada de toda una generación (sacrificio, cruz, negación de sí mismo, comportamiento sexual, papel subordinado de la mujer...) y c)instaurar un fuerte clericalismo y autoritarismo fundamentalista (erigiendo como primer principio, de evidencia inmediata, el del sometimiento total a la autoridad, muy afín al principio fascista 'el jefe nunca se equivoca').CataluñaES

Prevalence and characteristics of breakthrough cancer pain in an outpatient clinic in a Catalan teaching hospital: incorporation of the Edmonton Classification System for Cancer pain into the diagnostic algorithm

Abstract Background Breakthrough cancer pain (BTcP) is defined according to its principal characteristics: high intensity, short time interval between onset and peak intensity, short duration, potential recurrence over 24 h and non-responsiveness to standard analgesic regimes. The Edmonton Classification System for Cancer Pain (ECS-CP) is a classification tool that evaluates different dimensions of pain. The aim of this study was to measure prevalence and the main characteristics of BTcP in a sample of advanced cancer patients and to explore the complexity observed when ECS-CP is incorporated into BTcP diagnostics algorithm. Methods Descriptive prevalence study (Retrospective chart review). Davies’ algorithm was used to identify BTcP and ECS-CP was used to recognize appropriate dimensions of pain. The study was conducted in a sample of advanced cancer patients attending hospital outpatient clinic in Lleida, Spain. 277 patients were included from 01/01/2014 to 31/12/2015. No direct contact was made with participants. The following information was extracted from the palliative care outpatient clinic database: age, gender, civil status, cognitive impairment status, functional performance status and variables related to tumour. Only BTcP cases were included. Results Prevalence of BTcP was 39.34% (63.9% men). Mean of age was 68.2 years. Main diagnosis was lung cancer (n = 154; 31.6%). Metastases were diagnosed in 83% of the sample. 138 patients (49.8%) were diagnosed with 1 type of BTcP and 139 (50.2%) were diagnosed with more than one type of BTcP. In total, 488 different types of BTcP were recorded (mean 1.75 ± 0, 9), 244 of these types (50%) presented a component of neuropathic pain. Addictive behaviour, measured through CAGE test, was present in 29.2% (N = 81) of the patients and psychological distress was present in 40.8% (n = 113). Conclusions Prevalence of BTcP (39.34%) is similar to the one reflected in the existing literature. Study results indicate that the routine use of ECS-CP in a clinical setting allows us to detect more than one type of BTcP as well as additional complexity associated with pain (neuropathic, addictive behavior and psychological distress)

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.This work has been funded by CAJAL4EU project (EC FP7- ENIAC-120215) and Nanocardiococo project (IPT-2011-1337-010000). The Nb4D group (formerly Applied Molecular Receptors group, AMRg) is a consolidated research group (Grup de Recerca) of the Generalitat de Catalunya and has support from the Departament d’Universitats, Recerca i Societat de la Informació de la Generalitat de Catalunya (expedient: 2021 SGR 00408). CIBER-BBN is an initiative funded by the Spanish National Plan for Scientific and Technical Research and Innovation 2013–2016, Iniciativa Ingenio 2010, Consolider Program, CIBER Actions are financed by the Instituto de Salud Carlos III with assistance from the European Regional Development Fund. The ICTS “NANOBIOSIS,” and particularly the Custom Antibody Service (CAbS, IQAC-CSIC, CIBER-BBN), is acknowledged for the assistance and support related to the immunoreagents used in this work.Peer reviewe