181 research outputs found
Comparative effects of glucagon-like peptide-1 receptors agonists, 4-dipeptidyl peptidase inhibitors, and metformin on metabolic syndrome
Funding sponsor Funding number Acronym
Balearic Islands Health Research InstituteEU-COST
35/2011, CA16112Fondo de Investigación para la SaludIDISBA
CB12/03, CIBEROBN CB06/03Margalida Comas
DG R+D+IMinistry of Science, SpainEuropean Commission
201630.10, EAT2BENICE_H2020_SFS2016European Research Council
2013–2018, 340918Generalitat Valenciana
PROMETEO/2017/017Instituto de Salud Carlos IIIFunding sponsor Funding number Acronym
Balearic Islands Health Research Institute
EU-COST
35/2011, CA16112
Fondo de Investigación para la Salud
IDISBA
CB12/03, CIBEROBN CB06/03
Margalida Comas
DG R+D+I
Ministry of Science, Spain
European Commission
See opportunities by EC
See opportunities (opens in new window) 201630.10, EAT2BENICE_H2020_SFS2016 EC
European Research Council
See opportunities by ERC
See opportunities (opens in new window) 2013–2018, 340918 ERC
Generalitat Valenciana
See opportunities by GVA
See opportunities (opens in new window) PROMETEO/2017/017 GVA
Instituto de Salud Carlos III
2013ACUP00194, PI13/00233, PI13/00272, PI13/00462, PI13/00492, PI13/00673, PI13/00728, PI13/01056, PI13/01090, PI13/01123, PI13/02184, PI14/00618, PI14/00636, PI14/00696, PI14/00728, PI14/00853, PI14/00972, PI14/01206, PI14/01374, PI14/01471, PI14/01722, PI14/01919, PI16/00366, PI16/00381, PI16/00473, PI16/00501, PI16/00533, PI16/00662, PI16/01094, PI16/01120, PI16/01522, PI16/01873, PI17/00215, PI17/00508, PI17/00525, PI17/00532, PI17/00764, PI17/00855, PI17/00926, PI17/01183, PI17/01347, PI17/01441, PI17/01732, PI17/01827, PI19/00017, PI19/00309, PI19/00386, PI19/00576, PI19/00781, PI19/00957, PI19/01032, PI19/01226, PI19/01332, PI19/01560, PI20/00138, PI20/00339, PI20/00456, PI20/00557, PI20/00886, PI20/01158, PI20/01532, PI20/01802Consejería de Salud y Familias, Junta de Andalucía
PI0137/2018, PI0458/2013, PS0358/201
Infarto agudo de miocardio con elevación del segmento ST: estrategias de reperfusión en el Hospital Clínico de Valladolid
La cardiopatía isquémica es la principal causa de mortalidad en los países desarrollados. El síndrome coronario agudo con elevación del segmento ST (SCACEST) es una de sus manifestaciones más graves. Existen diferentes estrategias de reperfusión en el SCACEST. En 2013 se aprobó el Código Infarto en la Comunidad de Castilla y León, cuyo objetivo principal es disminuir la morbimortalidad del SCACEST promoviendo estrategias de reperfusión eficaces y precoces. El objetivo de este trabajo fin de grado es analizar las diferentes estrategias de reperfusión utilizadas en el Hospital Clínico de Valladolid entre los años 2016 y 2018 y ver si se cumplen las directrices de las guías de práctica clínica y recomendaciones del código infarto.Grado en Medicin
Telemonitoring ADL platform based on non-intrusive and privacy-friendly sensors for the care of the elderly in smart homes
International audienceDuring the last years, several sensor-based monitoring systems have been developed to detect in real time frequent problems in older people, such as falls and nocturia. Some devices can also measure different variables of the environment (e.g. temperature, pollution, etc.) to generate alarms and thus help the user's welfare. All these devices generate numerous sensitive data related to the health and behavior of user/patients. The presence of some of these sensors in homes can mean a vulnerability of the user’s privacy. In this article we propose a telemonitoring ADL platform based on non-intrusive sensors for the care of the elderly, restricted by a user-centered protocol that guarantees their privacy and facilitates their acceptance by the user
Desired weight loss and its association with health, health behaviors and perceptions in an adult population with weight excess: One-year follow-up
Background: Metabolic syndrome (MetS) worsens quality of life and increases mortality. Dissatisfaction with weight in patients with MetS may modify the effect of lifestyle interventions to achieve changes in health-related behaviors. Objective: To assess 1-year changes in cardiovascular risk scores, self-perceived general health and health-related behaviors according to observed changes in desired weight loss during the first year of intervention in a large cardiovascular prevention trial. Design: Prospective analysis of the PREDIMED-PLUS trial, including 5,499 adults (55-75 years old) with overweight or obesity at baseline. Methods: The desired weight loss was the difference between ideal and measured weight. Tertiles of change in desired weight loss (1 year vs. baseline) were defined by the following cut-off points: >= 0.0 kg (T1, n = 1,638); 0.0 to -4.0 kg (T2, n = 1,903); <=-4.0 kg (T3, n = 1,958). A food frequency questionnaire assessed diet and the Minnesota-REGICOR questionnaire assessed physical activity. The Framingham equation assessed cardiovascular risks. The changes in the severity of MetS were also assessed. The Beck Depression Inventory assessed depressive symptoms and the SF-36 assessed health-related quality of life. Data were analyzed using general linear models. Results: BMI decreased at T2 and T3 (T1: 0.3, T2: -0.7, T3: -1.9). The most significant improvement in diet quality was observed at T3. Cardiovascular risk decreased at T2 and T3. Mean reductions in MetS severity score were: -0.02 at T1, -0.39 at T2 and -0.78 at T3. The perception of physical health increases in successive tertiles. Conclusions: In older adults with MetS, more ambitious desired weight loss goals were associated with improvements in diet, cardiovascular health and perceived physical health during the first year of a healthy lifestyle intervention programme. Weight dissatisfaction needs to be considered by health professionals.European Research Council (ERC)
European Commission 20132018
340918Spanish government, ISCIII, through the Fondo de Investigacion para la Salud (FIS) - European Regional Development Fund PI13/00673
PI13/00492
PI13/00272
PI13/01123
PI13/00462
PI13/00233
PI13/02184
PI13/00728
PI13/01090
PI13/01056
PI14/01722
PI14/00636
PI14/00618
PI14/00696
PI14/01206
PI14/01919Especial Action Project entitled: Implementacion y evaluacion de una intervencion intensive sobre la actividad fisica Cohorte PREDIMED-Plus grantRecercaixa Grant 2013ACUP00194Junta de Andalucia PI0458/2013
PS0358/2016
PI0137/2018Center for Forestry Research & Experimentation (CIEF)European Commission PROMETEO/2017/017
European Cooperation in Science and Technology (COST)
European Commission CA16112Balearic Islands Health Research Institute (IDISBA)European Commission CIBEROBN CB06/03
CB12/03
European Commission
European Commission Joint Research Centre EAT2BENICE_H2020_SFS2016Fundacio La Marato TV3 201630.10Fernando Tarongi Bauza Grant'Spanish government, ISCIII, through the Fondo de Investigacion para la Salud (FIS) - European Regional Development Fund' PI17/00855
PI17/01347
PI17/00525
PI17/01827
PI17/00532
PI17/00215
PI17/01441
PI17/00508
PI17/01732
PI17/00926
PI19/00957
PI19/00386
PI19/00309
PI19/01032
PI19/00576
PI19/00017the Spanish government, ISCIII, through the Fondo de Investigacion para la Salud (FIS) - European Regional Development Fund PI14/00853
PI14/01374
PI14/00972
PI14/00728
PI14/01471
PI16/00473
PI16/00662
PI16/01873
PI16/01094
PI16/00501
PI16/00533
PI16/00381
PI16/00366
PI16/01522
PI16/01120
PI17/00764
PI17/01183
PI19/01226"Spanish government, ISCIII, through the Fondo de Investigacion para la Salud (FIS) - European Regional Development Fund" PI19/00781
PI19/01560
PI19/01332
PI20/01802
PI20/00138
PI20/01532
PI20/00456
PI20/00339
PI20/00557
PI20/00886
PI20/0115
Revisiting the Yeast Cell Cycle Problem with the Improved TriGen Algorithm
Analyzing microarray data represents a computational
challenge due to the characteristics of these data.
Clustering techniques are widely applied to create groups of
genes that exhibit a similar behavior under the conditions
tested. Biclustering emerges as an improvement of classical
clustering since it relaxes the constraints for grouping allowing
genes to be evaluated only under a subset of the conditions
and not under all of them. However, this technique is not
appropriate for the analysis of temporal microarray data in
which the genes are evaluated under certain conditions at
several time points. On a previous work we presented the
TriGen algorithm, a genetic algorithm that finds triclusters
of gene expression that take into account the experimental
conditions and the time points simultaneously, and was applied
to the yeast (Saccharomyces Cerevisiae) cell cycle problem.
In this article we present some improvements on the genetic
algorithm and we also present the results of applying the
improved TriGen algorithm to the yeast cell cycle problem,
where the goal is to identify all genes whose expression levels
are regulated by the cell cycle
Triclustering on TemporaryMicroarray Data using the TriGen Algorithm
The analysis of microarray data is a computational
challenge due to the characteristics of these data.
Clustering techniques are widely applied to create groups of
genes that exhibit a similar behavior under the conditions
tested. Biclustering emerges as an improvement of classical
clustering since it relaxes the constraints for grouping allowing
genes to be evaluated only under a subset of the conditions
and not under all of them. However, this technique is not
appropriate for the analysis of temporal microarray data in
which the genes are evaluated under certain conditions at
several time points. In this paper, we propose the TriGen
algorithm, which finds triclusters that take into account the
experimental conditions and the time points, using evolutionary
computation, in particular genetic algorithms, enabling the
evaluation of the gene’s behavior under subsets of conditions
and of time points
Probiotic<i> Bacillus subtilis</i> protects against α-synuclein aggregation in <i>C. elegans</i>
How the gut microbiome affects Parkinson's disease remains unclear. Goya et al. show that the probiotic B. subtilis strain PXN21 inhibits and clears α-synuclein aggregation in a C. elegans model. The bacterium acts via metabolites and biofilm formation to activate protective pathways in the host, including DAF-16/FOXO and sphingolipid metabolism.Fil: Goya, María Eugenia. University of Edinburgh; Reino UnidoFil: Xue, Feng. University of Edinburgh; Reino UnidoFil: Sampedro Torres Quevedo, Cristina. University of Edinburgh; Reino UnidoFil: Arnaouteli, Sofia. University Of Dundee; Reino UnidoFil: Riquelme Dominguez, Lourdes. University of Edinburgh; Reino UnidoFil: Romanowski, Andrés. University of Edinburgh; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Brydon, Jack. University of Edinburgh; Reino UnidoFil: Ball, Kathryn L.. University of Edinburgh; Reino UnidoFil: Stanley-Wall, Nicola R.. University Of Dundee; Reino UnidoFil: Doitsidou, Maria. University of Edinburgh; Reino Unid
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering
techniques are widely applied to create groups of genes that exhibit a similar behavior under the conditions tested.
Biclustering emerges as an improvement of classical clustering since it relaxes the constraints for grouping genes to
be evaluated only under a subset of the conditions and not under all of them. However, this technique is not
appropriate for the analysis of longitudinal experiments in which the genes are evaluated under certain conditions at
several time points. We present the TriGen algorithm, a genetic algorithm that finds triclusters of gene expression that
take into account the experimental conditions and the time points simultaneously. We have used TriGen to mine
datasets related to synthetic data, yeast (Saccharomyces cerevisiae) cell cycle and human inflammation and host
response to injury experiments. TriGen has proved to be capable of extracting groups of genes with similar patterns in
subsets of conditions and times, and these groups have shown to be related in terms of their functional annotations
extracted from the Gene Ontology.Ministerio de Ciencia y Tecnología TIN2011-28956-C00Ministerio de Ciencia y Tecnología TIN2009-13950Junta de Andalucía TIC-752
On the use of algorithms to discover motifs in DNA sequences
Many approaches are currently devoted to find
DNA motifs in nucleotide sequences. However, this task remains
challenging for specialists nowadays due to the difficulties
they find to deeply understand gene regulatory mechanisms,
especially when analyzing binding sites in DNA. These sites or
specific nucleotide sequences are known to be responsible for
transcription processes. Thus, this work aims at providing an
updated overview on strategies developed to discover meaningful
motifs in DNA-related sequences, and, in particular, their
attempts to find out relevant binding sites. From all existing
approaches, this work is focused on dictionary, ensemble, and
artificial intelligence-based algorithms since they represent the
classical and the leading ones, respectively.Ministerio de Ciencia y Tecnología TIN2007- 68084-C-00Junta de Andalucia P07-TIC- 02611
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