100 research outputs found
El consumo de probiótico Lactobacillus plantarum CECT 7315/7316 mejora el estado de salud general en personas de edad avanzada
Fundamentos: Con la edad avanzada se producen cambios en la microflora intestinal que pueden afectar al estado de salud general. En este trabajo analizamos el efecto de Lactobacillus plantarum CECT 7315/7316 sobre la regulación del tránsito intestinal y el estado nutricional. Métodos: Hemos realizado un estudio clínico dobleciego, controlado por placebo y aleatorizado. Hemos evaluado la evolución de la frecuencia de defecación semanal y los niveles en sangre de proteínas totales, albúmina,colesterol y proteína C-reactiva. Resultados: Lactobacillus plantarum CECT 7315/7316 ayuda a regular el tránsito intestinal y mejora el estado nutricional en personas mayores. Conclusiones: El consumo de productos funcionales que contengan L. plantarum CECT 7315/7316 mejora la calidad de vida de personas de la tercera edad
Relationship Between Biofilm Formation and Antimicrobial Resistance in Gram-Negative Bacteria
Gram-negative microorganisms are a significant cause of
infection in both community and nosocomial settings. The
increase, emergence, and spread of antimicrobial resistance
among bacteria are the most important health problems worldwide.
One of the mechanisms of resistance used by bacteria is biofilm
formation, which is also a mechanism of virulence. This study
analyzed the possible relationship between antimicrobial
resistance and biofilm formation among isolates of three
Gram-negative bacteria species. Several relationships were found
between the ability to form biofilm and antimicrobial
resistance, being different for each species. Indeed, gentamicin
and ceftazidime resistance was related to biofilm formation in
Escherichia coli, piperacillin/tazobactam, and colistin in
Klebsiella pneumoniae, and ciprofloxacin in Pseudomonas
aeruginosa. However, no relationship was observed between global
resistance or multidrug-resistance and biofilm formation. In
addition, compared with other reported data, the isolates in the
present study showed higher rates of antimicrobial resistance.
In conclusion, the acquisition of specific antimicrobial
resistance can compromise or enhance biofilm formation in
several species of Gram-negative bacteria. However,
multidrug-resistant isolates do not show a trend to being
greater biofilm producers than non-multiresistant isolates
The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment
The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in
operation since July 2014. This paper describes the second data release from
this phase, and the fourteenth from SDSS overall (making this, Data Release
Fourteen or DR14). This release makes public data taken by SDSS-IV in its first
two years of operation (July 2014-2016). Like all previous SDSS releases, DR14
is cumulative, including the most recent reductions and calibrations of all
data taken by SDSS since the first phase began operations in 2000. New in DR14
is the first public release of data from the extended Baryon Oscillation
Spectroscopic Survey (eBOSS); the first data from the second phase of the
Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2),
including stellar parameter estimates from an innovative data driven machine
learning algorithm known as "The Cannon"; and almost twice as many data cubes
from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous
release (N = 2812 in total). This paper describes the location and format of
the publicly available data from SDSS-IV surveys. We provide references to the
important technical papers describing how these data have been taken (both
targeting and observation details) and processed for scientific use. The SDSS
website (www.sdss.org) has been updated for this release, and provides links to
data downloads, as well as tutorials and examples of data use. SDSS-IV is
planning to continue to collect astronomical data until 2020, and will be
followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14
happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov
2017 (this is the "post-print" and "post-proofs" version; minor corrections
only from v1, and most of errors found in proofs corrected
Level of discomfort in critically ill paediatric patients and its correlation with sociodemographic and clinical variables, analgosedation and withdrawal syndrome. COSAIP multicentre study (Phase 2)
Introduction: There are clinical and sociodemographic factors that have an impact on the comfort of the critically ill paediatric patient. The main aim of this study was to determine the level of discomfort of paediatric patients admitted to different national hospitals, and to analyse its correlation with sociodemographic and clinical variables, analgosedation, and withdrawal syndrome. Methods: An observational, analytical, cross-sectional, and multicentre study was conducted in five Spanish hospitals. The level of analgosedation was assessed once per shift over a 24 h period, using a BIS sensor, and pain with scales adapted to paediatric age population. The intensity of withdrawal syndrome was determined using the Withdrawal Assessment Tool (WAT-1) scale once per shift for 3 days. Discomfort level was simultaneous assessed using COMFORT Behaviour Scale-Spanish version (CBS-S). Results: A total of 261 critically ill paediatric patients with median age of 1.61 years (IQR = 0.35-6.55) were included. An overall discomfort score of 10.79 ± 3.7 was observed during morning compared to 10.31 ± 3.3 observed during the night. When comparing analgosedation and non-analgosedation groups, statistically differences were found in both shifts (χ2: 45.48; P =.001). At the same time, an association was observed (P <.001) between low discomfort scores and development of withdrawal syndrome development assessed with WAT-1. Conclusions: As there is a percentage of the studied population with discomfort, specific protocols need to be developed, guided by valuated and clinically tested tools, like the COMFORT Behaviour Scale-Spanish version.Introducción: Existen factores clínicos o sociodemográficos que pueden tener un impacto en el confort del paciente crítico pediátrico. El objetivo principal fue determinar el grado de disconfort de los pacientes pediátricos ingresados en las UCIP de diversos hospitales nacionales y analizar su relación con variables ocio demográficas y clínicas, sedoanalgesia y síndrome de abstinencia. Métodos: Estudio observacional, analítico, transversal y multicéntrico en 5 hospitalesespañoles. Se valoró el grado de analgosedación mediante el sensor BIS y las escalas de dolora daptadas a la edad pediátrica, una vez por turno durante 24 h. El grado de abstinencia se determinó con la escala Withdrawal Assessment Tool (WAT-1), una vez por turno durante 3 días consecutivos. Además, se valoró simultáneamente el grado de disconfort mediante la COMFORTBehavior Scale-versión española (CBS-ES).Resultados: Se incluyeron un total de 261 pacientes críticos pediátricos con una mediana de edad de 1,61 años (RIQ = 0,35-6,55). Se objetivaron puntuaciones globales de disconfort de10,79 ± 3,7 en el turno de mañana versus 10,31 ± 3,3 en el de noche. Se observó asociación estadística al comparar al grupo de pacientes analgosedados con el grupo de no analgosedadosen ambos turnos ( 2: 45,48; p = 0,001). A la vez, también se observó una relación estadística-mente significativa (p < 0,001) entre puntuaciones bajas de disconfort y menor desarrollo desíndrome de abstinencia
Overview of the SDSS-IV MaNGA survey: mapping nearby galaxies at Apache Point Observatory
We present an overview of a new integral field spectroscopic survey called MaNGA (Mapping Nearby Galaxies at Apache Point Observatory), one of three core programs in the fourth-generation Sloan Digital Sky Survey (SDSS-IV) that began on 2014 July 1. MaNGA will investigate the internal kinematic structure and composition of gas and stars in an unprecedented sample of 10,000 nearby galaxies. We summarize essential characteristics of the instrument and survey design in the context of MaNGA's key science goals and present prototype observations to demonstrate MaNGA's scientific potential. MaNGA employs dithered observations with 17 fiber-bundle integral field units that vary in diameter from 12'' (19 fibers) to 32'' (127 fibers). Two dual-channel spectrographs provide simultaneous wavelength coverage over 3600-10300 Å at R ~ 2000. With a typical integration time of 3 hr, MaNGA reaches a target r-band signal-to-noise ratio of 4-8 (Å–1 per 2'' fiber) at 23 AB mag arcsec–2, which is typical for the outskirts of MaNGA galaxies. Targets are selected with M * 109 M ☉ using SDSS-I redshifts and i-band luminosity to achieve uniform radial coverage in terms of the effective radius, an approximately flat distribution in stellar mass, and a sample spanning a wide range of environments. Analysis of our prototype observations demonstrates MaNGA's ability to probe gas ionization, shed light on recent star formation and quenching, enable dynamical modeling, decompose constituent components, and map the composition of stellar populations. MaNGA's spatially resolved spectra will enable an unprecedented study of the astrophysics of nearby galaxies in the coming 6 yr
Stratification of radiosensitive brain metastases based on an actionable S100A9/RAGE resistance mechanism
© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.Whole-brain radiotherapy (WBRT) is the treatment backbone for many patients with brain metastasis; however, its efficacy in preventing disease progression and the associated toxicity have questioned the clinical impact of this approach and emphasized the need for alternative treatments. Given the limited therapeutic options available for these patients and the poor understanding of the molecular mechanisms underlying the resistance of metastatic lesions to WBRT, we sought to uncover actionable targets and biomarkers that could help to refine patient selection. Through an unbiased analysis of experimental in vivo models of brain metastasis resistant to WBRT, we identified activation of the S100A9-RAGE-NF-κB-JunB pathway in brain metastases as a potential mediator of resistance in this organ. Targeting this pathway genetically or pharmacologically was sufficient to revert the WBRT resistance and increase therapeutic benefits in vivo at lower doses of radiation. In patients with primary melanoma, lung or breast adenocarcinoma developing brain metastasis, endogenous S100A9 levels in brain lesions correlated with clinical response to WBRT and underscored the potential of S100A9 levels in the blood as a noninvasive biomarker. Collectively, we provide a molecular framework to personalize WBRT and improve its efficacy through combination with a radiosensitizer that balances therapeutic benefit and toxicity.info:eu-repo/semantics/publishedVersio
Ecology of the native and introduced crayfishes Austropotamobius pallipes and Procambarus clarkii in southern Spain and implications for conservation of the native species
Stratification of radiosensitive brain metastases based on an actionable S100A9/RAGE resistance mechanism
Whole-brain radiotherapy (WBRT) is the treatment backbone for many patients with brain metastasis; however, its efficacy in preventing disease progression and the associated toxicity have questioned the clinical impact of this approach and emphasized the need for alternative treatments. Given the limited therapeutic options available for these patients and the poor understanding of the molecular mechanisms underlying the resistance of metastatic lesions to WBRT, we sought to uncover actionable targets and biomarkers that could help to refine patient selection. Through an unbiased analysis of experimental in vivo models of brain metastasis resistant to WBRT, we identified activation of the S100A9–RAGE–NF-κB–JunB pathway in brain metastases as a potential mediator of resistance in this organ. Targeting this pathway genetically or pharmacologically was sufficient to revert the WBRT resistance and increase therapeutic benefits in vivo at lower doses of radiation. In patients with primary melanoma, lung or breast adenocarcinoma developing brain metastasis, endogenous S100A9 levels in brain lesions correlated with clinical response to WBRT and underscored the potential of S100A9 levels in the blood as a noninvasive biomarker. Collectively, we provide a molecular framework to personalize WBRT and improve its efficacy through combination with a radiosensitizer that balances therapeutic benefit and toxicity.We thank all members of the Brain Metastasis Group and A. Chalmers, E. Wagner, O. Fernández-Capetillo, R. Ciérvide and A. Hidalgo for critical discussion of the manuscript; the CNIO Core Facilities for their excellent assistance; and Fox Chase Cancer Center Transgenic Facility for generation of S100A9 mice. We thank EuCOMM repository for providing S100A9 targeted embryonic stem cells. We also thank J. Massagué (MSKCC) for some of the BrM cell lines and M. Bosenberg (Yale) for the YUMM1.1 cell line. Samples from patients included in this study that provided by the Girona Biomedical Research Institute (IDIBGI) (Biobanc IDIBGI, B.0000872) are integrated into the Spanish National Biobanks Network and in the Xarxa de Bancs de Tumors de Catalunya (XBTC) financed by the Pla Director d’Oncologia de Catalunya. All patients consented to the storage of these samples in the biobank and for their use in research projects. This study was funded by MINECO (SAF2017-89643-R) (M.V.), Fundació La Marató de TV3 (201906-30-31-32) (J.B.-B., M.V. and A.C.), Fundación Ramón Areces (CIVP19S8163) (M.V.) and CIVP20S10662 (E.O.P.), Worldwide Cancer Research (19-0177) (M.V. and E.C.-J.M.), Cancer Research Institute (Clinic and Laboratory Integration Program CRI Award 2018 (54545) (M.V.), AECC (Coordinated Translational Groups 2017 (GCTRA16015SEOA) (M.V.), LAB AECC 2019 (LABAE19002VALI) (M.V.), ERC CoG (864759) (M.V.), Portuguese Foundation for Science and Technology (SFRH/bd/100089/2014) (C.M.), Boehringer-Ingelheim Fonds MD Fellowship (L.M.), La Caixa International PhD Program Fellowship-Marie Skłodowska-Curie (LCF/BQ/DI17/11620028) (P.G.-G.), La Caixa INPhINIT Fellowship (LCF/BQ/DI19/11730044) (A.P.-A.), MINECO-Severo Ochoa PhD Fellowship (BES-2017-081995) (L.A.-E.) and an AECC postdoctoral fellowship (POSTD19016PRIE) (N.P.). M.V. is an EMBO YIP member (4053). Additional support was provided by Gertrud and Erich Roggenbuck Stiftung (M.M.), Science Foundation Ireland Frontiers for the Future Award (19/FFP/6443) (L.Y.), Science Foundation Ireland Strategic Partnership Programme, Precision Oncology Ireland (18/SPP/3522) (L.Y.), Breast Cancer Now Fellowship Award with the generous support of Walk the Walk (2019AugSF1310) (D.V.), Science Foundation Ireland (20/FFP-P/8597) (D.V.), Paradifference Foundation (C.F.-T.), “la Caixa” Foundation (ID 100010434) (A.I.), European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement 847648 (CF/BQ/PI20/11760029) (A.I.), Champalimaud Centre for the Unknown (N.S.), Lisboa Regional Operational Programme (Lisboa 2020) (LISBOA01-0145-FEDER-022170) (N.S.), NCI (R01 CA227629; R01 CA218133) (S.I.G.), Fundació Roses Contra el Càncer (J.B.-B.), Ministerio de Universidades FPU Fellowship (FPU 18/00069) (P.T.), MICIN-Agencia Estatal de Investigación Fellowships (PRE2020-093032 and BES-2017-080415) (P.M. and E. Cintado, respectively), Ministerio de Ciencia, Innovación y Universidades-E050251 (PID2019-110292RB-I00) (J.L.T.), FCT (PTDC/MED-ONC/32222/2017) (C.C.F.), Fundação Millennium bcp (C.C.F.), private donations (C.C.F.) and the Foundation for Applied Cancer Research in Zurich (E.L.R. and M.W.)
Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe
We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median ). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July
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