Contaminantes emergentes: determinación de fármacos antihipertensivos en aguas superficiales

Estudios recientes han mostrado la presencia de un amplio grupo de principios activos farmacológicos en el medioambiente procedentes principalmente de la descarga de estaciones depuradoras de aguas residuales. Entre ellos, son de especial interés aquellos empleados en el tratamiento de enfermedades crónicas, como los fármacos antihipertensivos, no sólo debido a su consumo continuado, sino además a su potente mecanismo de acción, lo que los hace especialmente peligrosos para el medioambiente. En este trabajo se ha optimizado y validado una metodología analítica, basada en la extracción en fase sólida y determinación mediante cromatografía líquida con detector de espectrometría de masas de triple cuadrupolo, para la determinación de los tres fármacos antihipertensivos más consumidos (irbesartán, telmisartán y valsartán) en aguas superficiales. Las recuperaciones obtenidas se situaron entre el 84 y el 101 %. La precisión, medida en unidades de desviación estándar relativa, fue inferior al 10 % y los límites de detección se situaron entre 0.24 y 2.01 ng/L.Recent studies have reported the presence of a broad spectrum of pharmaceutical compounds in several environmental compartments, where they mainly end up due to discharges of effluent wastewater. Among them, pharmaceuticals designed to treat chronic diseases, including hypertensive pharmaceuticals, are of special interest, not only due to its continued consumption, but also for their potent mechanism of action, which makes them especially dangerous for the environment. In this work, an analytical method, based on solid phase extraction and determination by liquid chromatography with triple quadrupole mass spectrometry detector, has been optimized and validated for the determination of three of the most consumed antihypertensive pharmaceuticals (irbesartan, telmisartan and valsartan) on surface water samples. The recoveries obtained were between 84 and 101%. Precision, expressed as relative standard deviation, was < 10%, and limits of detection were between 0.24 and 2.01 ng/L.Ministerio de Economía y Competitividad. Proyecto CGL2013-44402-

Ener3DMap-SolarWeb roofs: A geospatial web-based platform to compute photovoltaic potential

[EN] The effective exploitation and management of renewable energies requires knowledge not only of the energy intensity at the exploitation site but also of the influence of the geometry of the site and its surroundings. For this reason, the efficient processing and interpretation of combined geospatial and energy data is a key issue. This paper presents the development of a web-based tool for the automatic computation of photovoltaic potential on rooftops and on parcels without buildings. The tool called Ener3DMap-SolarWeb Roofs is based on Leaflet and supports WMS, GeoJSON, GeoCSV and KML formats, among others. With these data formats, base maps, geometric data from the rooftops automatically computed from LiDAR and imagery data with self-developed processing algorithms, cadastral data and a solar radiation model are integrated in the tool. These different types of data, the high level of automation and the different scales for which energy data is calculated (hourly, monthly and annually) are the main contributions of the presented tool compared to other existing solutions. The capacities of the tool are tested through its application to analyze the solar potential of rooftops with different shapes and for different solar panel configurations. The accuracy of the results is ensured through the integration of a validated methodology for the computation of geometry and a validated solar radiation model, PVGIS

Statistical tools and control of internal lubricant content of inhalation grade HPMC capsules during manufacture

This is the author’s version of a work that was accepted for publication in International Journal of Pharmaceutics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Pharmaceutics 503 (2016) 36–40. DOI 10.1016/j.ijpharm.2016.02.017.The internal lubricant content (ILC) of inhalation grade HPMC capsules is a key factor to ensure good powder release when the patient inhales a medicine from a dry powder inhaler (DPI). Powder release from capsules has been shown to be influenced by the ILC. The characteristics used to measure this are the emitted dose, fine particle fraction and mass median aerodynamic diameter. In addition the ILC level is critical for capsule shell manufacture because it is an essential part of the process that cannot work without it. An experiment has been applied to the manufacture of inhalation capsules with the required ILC. A full factorial model was used to identify the controlling factors and from this a linear model has been proposed to improve control of the process. (C) 2016 Elsevier B.V. All rights reserved.This research was supported by Qualicaps Europe, S.A.U.; Spanish DGI Grant no. MTM2014-58159-P (M.T. Gasso) and G. Ayala (DPI2013-47279-C2-1-R),Ayala, G.; Diez, F.; Gasso Matoses, MT.; Jones, BE.; Martin-Portugues, R.; Ramiro-Aparicio, J. (2016). Statistical tools and control of internal lubricant content of inhalation grade HPMC capsules during manufacture. International Journal of Pharmaceutics. 503(1-2):36-40. doi:10.1016/j.ijpharm.2016.02.017S36405031-

La Cuevona de Avín (Avín, Asturias, North Spain): A new Late Pleistocene site in the lower valley of the River Güeña

The archaeological investigations carried out in the last twenty years in the Lower Valley of the River Güeña (Asturias, central part of northern Spain) have documented different prehistoric sites, particularly with Middle and Upper Palaeolithic occupations. This paper presents the first results of the archaeological excavation carried out in the cave of La Cuevona de Avín. From the systematic study of the biotic and abiotic remains, a total of three occupation phases (Phases 1 to 3) have been determined, dated in the Late Pleistocene. The lithic studies indicate the use of local raw materials (mainly quartzite), but also regional ones (different types of flint) in the whole sequence. Retouched implements are typologically representative only during the Upper Magdalenian (Phase II) and use-wear analysis indicates the manufacture and use of artefacts in situ during this phase. Archaeozoological studies reveal continuity in subsistence strategies throughout the sequence, noting specialization in red deer hunting during the Azilian (Phase I), and more diversified prey in the older phases of the sequence. © 2022 The Author(s

The VVV Templates Project. Towards an Automated Classification of VVV Light-Curves. I. Building a database of stellar variability in the near-infrared

Context. The Vista Variables in the V\'ia L\'actea (VVV) ESO Public Survey is a variability survey of the Milky Way bulge and an adjacent section of the disk carried out from 2010 on ESO Visible and Infrared Survey Telescope for Astronomy (VISTA). VVV will eventually deliver a deep near-IR atlas with photometry and positions in five passbands (ZYJHK_S) and a catalogue of 1-10 million variable point sources - mostly unknown - which require classifications. Aims. The main goal of the VVV Templates Project, that we introduce in this work, is to develop and test the machine-learning algorithms for the automated classification of the VVV light-curves. As VVV is the first massive, multi-epoch survey of stellar variability in the near-infrared, the template light-curves that are required for training the classification algorithms are not available. In the first paper of the series we describe the construction of this comprehensive database of infrared stellar variability. Methods. First we performed a systematic search in the literature and public data archives, second, we coordinated a worldwide observational campaign, and third we exploited the VVV variability database itself on (optically) well-known stars to gather high-quality infrared light-curves of several hundreds of variable stars. Results. We have now collected a significant (and still increasing) number of infrared template light-curves. This database will be used as a training-set for the machine-learning algorithms that will automatically classify the light-curves produced by VVV. The results of such an automated classification will be covered in forthcoming papers of the series.Comment: 12 pages, 16 figures, 3 tables, accepted for publication in A&A. Most of the data are now accessible through http://www.vvvtemplates.org

Correlation of recist, computed tomography morphological response, and pathological regression in hepatic metastasis secondary to colorectal cancer : The avamet study

The prospective phase IV AVAMET study was undertaken to correlate response evaluation criteria in solid tumors (RECIST)-defined response rates with computed tomography-based morphological criteria (CTMC) and pathological response after liver resection of colorectal cancer metastases. Eligible patients were aged ≥18 years, with Eastern Cooperative Oncology Group (ECOG) performance status 0/1 and histologically-confirmed colon or rectal adenocarcinoma with measurable liver metastases. Preoperative treatment was bevacizumab (7.5 mg on day 1) + XELOX (oxaliplatin 130 mg/m, capecitabine 1000 mg/m bid on days 1-14 q3w). After three cycles, response was evaluated by a multidisciplinary team. Patients who were progression-free and metastasectomy candidates received one cycle of XELOX before undergoing surgery 3-5 weeks later, followed by four cycles of bevacizumab + XELOX. A total of 83 patients entered the study; 68 were eligible for RECIST, 67 for CTMC, and 51 for pathological response evaluation. Of these patients, 49% had a complete or partial RECIST response, 91% had an optimal or incomplete CTMC response, and 81% had a complete or major pathological response. CTMC response predicted 37 of 41 pathological responses versus 23 of 41 responses predicted using RECIST (p = 0.008). Kappa coefficients indicated a lack of correlation between the results of RECIST and morphological responses and between morphological and pathological response rates. CTMC may represent a better marker of pathological response to bevacizumab + XELOX than RECIST in patients with potentially-resectable CRC liver metastases

NEXT-100 Technical Design Report (TDR). Executive Summary

In this Technical Design Report (TDR) we describe the NEXT-100 detector that will search for neutrinoless double beta decay (bbonu) in Xe-136 at the Laboratorio Subterraneo de Canfranc (LSC), in Spain. The document formalizes the design presented in our Conceptual Design Report (CDR): an electroluminescence time projection chamber, with separate readout planes for calorimetry and tracking, located, respectively, behind cathode and anode. The detector is designed to hold a maximum of about 150 kg of xenon at 15 bar, or 100 kg at 10 bar. This option builds in the capability to increase the total isotope mass by 50% while keeping the operating pressure at a manageable level. The readout plane performing the energy measurement is composed of Hamamatsu R11410-10 photomultipliers, specially designed for operation in low-background, xenon-based detectors. Each individual PMT will be isolated from the gas by an individual, pressure resistant enclosure and will be coupled to the sensitive volume through a sapphire window. The tracking plane consists in an array of Hamamatsu S10362-11-050P MPPCs used as tracking pixels. They will be arranged in square boards holding 64 sensors (8 times8) with a 1-cm pitch. The inner walls of the TPC, the sapphire windows and the boards holding the MPPCs will be coated with tetraphenyl butadiene (TPB), a wavelength shifter, to improve the light collection.Comment: 32 pages, 22 figures, 5 table

Radon and material radiopurity assessment for the NEXT double beta decay experiment

The Neutrino Experiment with a Xenon TPC (NEXT), intended to investigate the neutrinoless double beta decay using a high-pressure xenon gas TPC filled with Xe enriched in 136Xe at the Canfranc Underground Laboratory in Spain, requires ultra-low background conditions demanding an exhaustive control of material radiopurity and environmental radon levels. An extensive material screening process is underway for several years based mainly on gamma-ray spectroscopy using ultra-low background germanium detectors in Canfranc but also on mass spectrometry techniques like GDMS and ICPMS. Components from shielding, pressure vessel, electroluminescence and high voltage elements and energy and tracking readout planes have been analyzed, helping in the final design of the experiment and in the construction of the background model. The latest measurements carried out will be presented and the implication on NEXT of their results will be discussed. The commissioning of the NEW detector, as a first step towards NEXT, has started in Canfranc; in-situ measurements of airborne radon levels were taken there to optimize the system for radon mitigation and will be shown too.Comment: Proceedings of the Low Radioactivity Techniques 2015 workshop (LRT2015), Seattle, March 201

Parvimonas micra can translocate from the subgingival sulcus of the human oral cavity to colorectal adenocarcinoma

[Abstract] Oral and intestinal samples from a cohort of 93 colorectal cancer (CRC) patients and 30 healthy controls (non-CRC) were collected for microbiome analysis. Saliva (28 non-CRC and 94 CRC), feces (30 non-CRC and 97 CRC), subgingival fluid (20 CRC), and tumor tissue samples (20 CRC) were used for 16S metabarcoding and/or RNA sequencing (RNAseq) approaches. A differential analysis of the abundance, performed with the ANCOM-BC package, adjusting the P-values by the Holm-Bonferroni method, revealed that Parvimonas was significantly over-represented in feces from CRC patients (P-value < 0.001) compared to healthy controls. A total of 11 Parvimonas micra isolates were obtained from the oral cavity and adenocarcinoma of CRC patients. Genome analysis identified a pair of isolates from the same patient that shared 99.2% identity, demonstrating that P. micra can translocate from the subgingival cavity to the gut. The data suggest that P. micra could migrate in a synergistic consortium with other periodontal bacteria. Metatranscriptomics confirmed that oral bacteria were more active in tumor than in non-neoplastic tissues. We suggest that P. micra could be considered as a CRC biomarker detected in non-invasive samples such as feces.The present authors want to thank all the cancer patients of the University Hospital of A Coruña for participating in this study, collaborating with us despite their health problems. We warmly want to thank Gema Carro Díaz and Montserrat Ingelmo Sánchez (surgical service nurses of HUAC) for their support during patient's recruitment time and also with sample collection. Moreover, we want to appreciate the valuable assistance received in anaerobic culturing by David Velasco Fernández (microbiologist) and Ana María Fernández Liñares (technician), and in FFPE samples processing by the pathology service technicians: Diego Barco Díaz, Cristina Vázquez Costa and Ana María Mejuto Rial. This work would not be possible without all the professionals of the Microbiology, Surgery, Pathology and Oncology services and Biobank from CHUAC who support this microbiome and cancer research project. This study has been funded by Instituto de Salud Carlos III (ISCIII) through the project PI20/00413 and co-funded by the European Union to MP. The work has been also supported by the project RTI2018-102032-B-I00 from the Spanish Ministry of Science and Innovation to AM and by the CIBER INF ISCIII (CB21/13/00055) to GB and MP. Biobank of University Hospital Complex of A Coruña was supported by Instituto de Salud Carlos III – Fondos FEDER (EU) by grant PT20/00128. K. Conde-Pérez was financially supported with a predoctoral fellowship by the Asociación Española Contra el Cáncer (AECC). E. Buetas is supported by a grant from the Spanish Ministry of Science and Innovation with the reference PRE2019-088126. S. Ladra, E. Martin-De Arribas and Iago Iglesias-Corrás are supported by grants from GAIN (Xunta de Galicia, Spain) with references ED431C 2021/53 and ED431GXunta de Galicia; ED431C 2021/53Xunta de Galicia; ED431