Neoformación de esmectitas magnésicas relacionadas con procesos de paleovertisolización en sedimentos fluvio-lacustres de la "Unidad intermedia del Mioceno" en la Cuenca de Madrid

Se ha estudiado la evolución mineralógica y geoquimica de materiales correspondientes a la «Unidad Intermedia)) del Mioceno de la cuenca de Madrid. Los resultados ponen de manifiesto la génesis de paleovertisoles como consecuencia de la neoformación de esmectitas trioctaédricas (saponita) ligadas a un ambiente fluvio-lacustre

Neoformación de esmectitas magnésicas relacionadas con procesos de paleovertisolización en sedimentos fluvio-lacustres de la "Unidad intermedia del Mioceno" en la Cuenca de Madrid

Se ha estudiado la evolución mineralógica y geoquimica de materiales correspondientes a la «Unidad Intermedia)) del Mioceno de la cuenca de Madrid. Los resultados ponen de manifiesto la génesis de paleovertisoles como consecuencia de la neoformación de esmectitas trioctaédricas (saponita) ligadas a un ambiente fluvio-lacustre

Interlaboratory analytical validation of a Next-generation sequencing strategy for clonotypic assessment and minimal residual disease monitoring in multiple myeloma

[Context]: Minimal residual disease (MRD) is a major prognostic factor in multiple myeloma, although validated technologies are limited. [Objective]: To standardize the performance of the LymphoTrack next-generation sequencing (NGS) assays (Invivoscribe), targeting clonal immunoglobulin rearrangements, in order to reproduce the detection of tumor clonotypes and MRD quantitation in myeloma. [Design]: The quantification ability of the assay was evaluated through serial dilution experiments. Paired samples from 101 patients were tested by LymphoTrack, using Sanger sequencing and EuroFlow's next-generation flow (NGF) assay as validated references for diagnostic and follow-up evaluation, respectively. MRD studies using LymphoTrack were performed in parallel at 2 laboratories to evaluate reproducibility. [Results]: Sensitivity was set as 1.3 tumor cells per total number of input cells. Clonality was confirmed in 99% and 100% of cases with Sanger and NGS, respectively, showing great concordance (97.9%), although several samples had minor discordances in the nucleotide sequence of rearrangements. Parallel NGS was performed in 82 follow-up cases, achieving a median sensitivity of 0.001%, while for NGF, median sensitivity was 0.0002%. Reproducibility of LymphoTrack-based MRD studies (85.4%) and correlation with NGF (R2 > 0.800) were high. Bland-Altman tests showed highly significant levels of agreement between flow and sequencing. [Conclusions]: Taken together, we have shown that LymphoTrack is a suitable strategy for clonality detection and MRD evaluation, with results comparable to gold standard procedures. Multiple myeloma (MM) is a plasma-cell dyscrasia characterized by the accumulation of plasma cells in the bone marrow that produces an excess of clonal immunoglobulins (M-protein or monoclonal component).1 New treatment approaches have increased the number of patients achieving complete response (CR),2–5 progressively improving progression-free and overall survival rates in the last 10 years.6–11 Nonetheless, the presence of low levels of drug-resistant cells (known as minimal residual disease, MRD)12–14 that remain undetected by conventional serologic and morphologic methods explains frequent relapses with this disease, which is still considered an incurable illness.Minimal residual disease is currently considered one of the most informative prognostic parameters, since those patients with undetectable disease have shown prolonged survival rates as compared with MRD-positive patients,15–17 and this difference is still significant even when patients achieving only stringent complete response (sCR) are taken into account.18 The International Myeloma Working Group (IMWG) defined MRD positivity as the persistence of clonal malignant plasma cells assessed with a sensitivity of at least 10−5 (1 malignant cell per hundred thousand normal cells)19 ; therefore, MRD should be monitored with only highly sensitive methods. To date, 3 different approaches have been tested for MRD monitoring in hematologic malignancies: immunophenotypic (multiparametric flow cytometry [MFC]),20 molecular (quantitative polymerase chain reaction [PCR], next-generation sequencing [NGS], digital PCR),21–23 and imaging tools (positron emission tomography–computed tomography; magnetic resonance imaging).24,25 However, in MM standardization has been achieved only for MFC26 and NGS.27,28 As a result, the IMWG recommended the use of highly sensitive, standardized flow and sequencing approaches,19 including EuroFlow's next-generation flow (NGF)29 and Adaptive Biotechnologies' ClonoSEQ solutions (Adaptive Biotechnologies, Seattle, Washington). NGF is a 2-tube, 8-color flow assay that allows the simultaneous analysis of 10 million cells, providing a sensitivity of around 2·10−6.This work was partially supported by the Instituto de Salud Carlos III (ISCIII), Spanish Ministry of Economy and Competitiveness PI15/01956, CIBERONC-CB16/12/00233, and “Una manera de hacer Europa” (Innocampus; CEI-2010-1-0010). García-Álvarez, Prieto-Conde, and Jiménez were supported by the Fundación Española de Hematología y Hemoterapia (FEHH, cofunded by Fundación Cris in the latter case), Medina by the European Social Fund through the University of Salamanca and the ISCIII (FI19/00320), and Sarasquete by the ISCIII (CPII18/00028). All Spanish funding is cosponsored by the European Union FEDER program

The Rise and Fall of "Respectable" Spanish Liberalism, 1808-1923: An Explanatory Framework

The article focuses on the reasons behind both the consolidation of what I have termed “respectable” liberalism between the 1830s and the 1840s and its subsequent decline and fall between 1900 and 1923. In understanding both processes I study the links established between “respectable” liberals and propertied elites, the monarchy, and the Church. In the first phase these links served to consolidate the liberal polity. However, they also meant that many tenets of liberal ideology were compromised. Free elections were undermined by the operation of caciquismo, monarchs established a powerful position, and despite the Church hierarchy working with liberalism, the doctrine espoused by much of the Church was still shaped by the Counter-Reformation. Hence, “respectable” liberalism failed to achieve a popular social base. And the liberal order was increasingly denigrated as part of the corrupt “oligarchy” that ruled Spain. Worse still, between 1916 and 1923 the Church, monarch, and the propertied elite increasingly abandoned the liberal Monarchist Restoration. Hence when General Primo de Rivera launched his coup the rug was pulled from under the liberals’ feet and there was no one to cushion the fall

Çédille, revista de estudios franceses

Presentació

Glucose series complexity in hypertensive patients

Nonlinear methods have been applied to the analysis of biological signals. Complexity analysis of glucose time series may be a useful tool for the study of the initial phases of glucoregulatory dysfunction. This observational, cross-sectional study was performed in patients with essential hypertension. Glucose complexity was measured with detrended fluctuation analysis (DFA), and glucose variability was measured by the mean amplitudes of glycemic excursion (MAGE). We included 91 patients with a mean age of 59 ± 10 years. We found significant correlations for the number of metabolic syndrome (MS)-defining criteria with DFA (r = 0.233, P = .026) and MAGE (r = 0.396, P < .0001). DFA differed significantly between patients who complied with MS and those who did not (1.44 vs. 1.39, P = .018). The MAGE (f = 5.3, P = .006), diastolic blood pressures (f = 4.1, P = .018), and homeostasis model assessment indices (f = 4.2, P = .018) differed between the DFA tertiles. Multivariate analysis revealed that the only independent determinants of the DFA values were MAGE (β coefficient = 0.002, 95% confidence interval: 0.001-0.004, P = .001) and abdominal circumference (β coefficient = 0.002, 95% confidence interval: 0.000015-0.004, P = .048). In our population, DFA was associated with MS and a number of MS criteria. Complexity analysis seemed to be capable of detecting differences in variables that are arguably related to the risk of the development of type 2 diabetes.Sin financiación2.606 JCR (2014) Q3, 31/60 Peripheral Vascular DiseaseUE

A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records

[EN] This paper describes a new method to optimize the computation of the quadratic sample entropy (QSE) metric. The objective is to enhance its segmentation capability between pathological and healthy subjects for short and unevenly sampled biomedical records, like those obtained using ambulatory blood pressure monitoring (ABPM). In ABPM, blood pressure is measured every 20-30 min during 24h while patients undergo normal daily activities. ABPM is indicated for a number of applications such as white-coat, suspected, borderline, or masked hypertension. Hypertension is a very important clinical issue that can lead to serious health implications, and therefore its identification and characterization is of paramount importance. Nonlinear processing of signals by means of entropy calculation algorithms has been used in many medical applications to distinguish among signal classes. However, most of these methods do not perform well if the records are not long enough and/or not uniformly sampled. That is the case for ABPM records. These signals are extremely short and scattered with outliers or missing/resampled data. This is why ABPM Blood pressure signal screening using nonlinear methods is a quite unexplored field. We propose an additional stage for the computation of QSE independently of its parameter r and the input signal length. This enabled us to apply a segmentation process to ABPM records successfully. The experimental dataset consisted of 61 blood pressure data records of control and pathological subjects with only 52 samples per time series. The entropy estimation values obtained led to the segmentation of the two groups, while other standard nonlinear methods failed. (C) 2014 Elsevier Ireland Ltd. All rights reserved.This work has been supported by the Spanish Ministry of Science and Innovation, research project TEC2009-14222.Cirugeda Roldán, EM.; Cuesta Frau, D.; Miró Martínez, P.; Oltra Crespo, S.; Vigil-Medina, L.; Varela-Entrecanales, M. (2014). A new algorithm for quadratic sample entropy optimization for very short biomedical signals: Application to blood pressure records. Computer Methods and Programs in Biomedicine. 114(3):231-239. https://doi.org/10.1016/j.cmpb.2014.02.008S231239114

Burnout syndrome in athletes and their association with body image dissatisfaction at a private university

BACKGROUND: Burnout syndrome, from the sporting point of view, is the integration of both physical and emotional signs, caused by the high demands in competition. According to several studies, the prevalence of burnout syndrome is influenced by several factors that would lead to athlete’s body image dissatisfaction. METHODS: The study design is cross-sectional analysis. The study sample was 352 athletes selected from the Universidad Peruana de Ciencias Aplicadas (UPC). The main variables of this study are the burnout syndrome; which was measured by Athlete Burnout Questionnaire (ABQ) and body image dissatisfaction, through thirteen Scale drawings contour figure Gardner. To find the association between body image dissatisfaction and burnout syndrome Poisson regression was used. RESULTS: Athletes with burnout syndrome have 1.08 times more likely having body image dissatisfaction with a value P=0.011 (95% CI: 1.02-1.15). It was also found that a sport collectively practiced is a protective factor for Burnout Syndrome with P=0.015 (95% CI: 0.4-0.9). CONCLUSIONS: Relation between burnout syndrome and body image dissatisfaction in athletes was found. In addition, a relationship between practicing an individual sport and burnout syndrome was also found. More studies are necessary to confirm these relationships.Revisión por pare

Uricemia y síndrome metabólico en pacientes con hipertensión arterial

Objetivo: Los niveles de uricemia se han asociado con el síndrome metabólico (SM). Sin embargo, la relación entre estas 2 variables en pacientes con hipertensión arterial (HTA) esencial no ha sido estudiada. Pacientes y métodos: Estudio observacional, transversal, de 592 pacientes con HTA esencial. Para la definición de SM se emplearon ≥3 criterios de la ATP-III. Se excluyeron a los pacientes con tratamiento hipouricemiante. Resultados: La prevalencia de SM fue del 52% (IC del 95%: 48-56%) y aumentó gradualmente a medida que se incrementaba la uricemia (uricemia: ≤4,7mg/dl, 36%; uricemia ≥6,8mg/dl, 70%; p<0,001). Los enfermos hipertensos con SM mostraron una uricemia media más elevada que los que no tenían esta comorbilidad (6,1±1,5mg/dl vs 5,4±1,3mg/dl; p<0,0001). La prevalencia de hiperuricemia (varones: ≥7,0mg/dl; mujeres: ≥6,0mg/dl) en los pacientes hipertensos que no recibían tratamiento diurético fue del 24,3% (en aquellos con SM, 40,5% frente a un 11,4% en los que no tenían SM; p<0,001). En el análisis multivariante los triglicéridos (OR: 1,008; IC del 95%: 1,004-1,012; p<0,001) y el índice de masa corporal (IMC) (OR: 1,118; IC del 95%: 1,059-1,181; p<0,001) fueron predictores independientes de la uricemia. Conclusiones: En los pacientes con HTA esencial, aproximadamente la mitad padecen SM y uno de cada 4 presenta hiperuricemia. El determinante más relevante del incremento de la concentración sérica de uratos es el aumento del IMC.0,257 JCR (2012) Q2, posición 786 de 1840 (Medicine (miscellaneous)