A5072705786- Gene expression and cancer classification
- Metabolomics and Mass Spectrometry Studies
- Nutritional Studies and Diet
- Bioinformatics and Genomic Networks
- Diet and metabolism studies
- Gut microbiota and health
- Data Mining Algorithms and Applications
- RNA and protein synthesis mechanisms
- Genetic and phenotypic traits in livestock
- Dietary Effects on Health
- Tea Polyphenols and Effects
- Business, Education, Mathematics Research
- Alzheimer's disease research and treatments
- Statistical Methods and Applications
- Business, Innovation, and Economy
- Genetic Associations and Epidemiology
- Nuclear Receptors and Signaling
- Neonatal Respiratory Health Research
- Optimal Experimental Design Methods
- Machine Learning in Healthcare
- Machine Learning and Data Classification
- AI in cancer detection
- Coffee research and impacts
- Cannabis and Cannabinoid Research
- Retinal Imaging and Analysis
Universitat de Barcelona
2014-2025
Hospital Clínico San Carlos
2024
Instituto de Salud Carlos III
2020-2023
Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable
2020-2023
Institut d'Estadística de Catalunya
2012-2022
Support vector machines (SVM) are a powerful tool to analyze data with number of predictors approximately equal or larger than the observations. However, originally, application SVM biomedical was limited because not designed evaluate importance predictor variables. Creating models based on only most relevant variables is essential in research. Currently, substantial work has been done allow assessment variable but this focused implemented linear kernels. The power as prediction model...
Several recent findings suggest that targeting the endogenous cannabinoid system can be considered as a potential therapeutic approach to treat Alzheimer's disease (AD). The present study supports this hypothesis demonstrating delta-9-tetrahydro
The MaPLE study was a randomized, controlled, crossover trial involving adults ≥60 y.o. (n = 51) living in residential care facility during an 8-week polyphenol-rich (PR)-diet. Results from the showed that PR-diet reduced intestinal permeability (IP) older by inducing changes to gut microbiota (GM). present work aimed at studying serum metabolome trial, as further necessary step depict complex crosstalk between dietary polyphenols, GM, and barrier.Serum monitored using semi-targeted...
Dietary polyphenols can alter the gut microbiota (GM) and promote production of bioactive metabolites. Several indoles result GM metabolism dietary tryptophan have been associated with intestinal barrier integrity. Our aim is to study changes in GM-derived during a polyphenol-rich (PR) diet intervention older adults.Randomized, controlled, crossover trial adults ≥ 60 years living residential care facility an 8-week PR versus control (n = 51). Seven GM-tryptophan metabolites are measured...
Myxovirus A (MxA), a protein encoded by the MX1 gene with antiviral activity, has proven to be sensitive measure of IFNβ bioactivity in multiple sclerosis (MS). However, use MxA as biomarker been criticized for lack evidence its role on disease pathogenesis and clinical response IFNβ. Here, we aimed identify specific biomarkers order compare their expression induction type I IFNs MxA, investigate potential MS pathogenesis. Gene microarrays were performed PBMC from patients who developed...
Polyphenols have great potential in regulating intestinal health and ameliorating pathological conditions related to increased permeability (IP). However, the efficacy of dietary interventions with these phytochemicals may significantly be influenced by interindividual variability factors affecting their bioavailability consequent biological activity. In present study, urine samples collected from older subjects undergoing a crossover intervention trial polyphenol-rich foods were subjected...
High-throughput technologies produce large-scale omics datasets, and their integration facilitates biomarker discovery predictive modeling. However, challenges such as data heterogeneity, high dimensionality, block-wise missing complicate the analysis. To address these issues, optimization techniques, including regularization constraint-based approaches, have been already employed for regression binary classification problems. Building on methods, we extended this framework to support...
Neuroprotection of erythropoietin (EPO) following long-term administration is hampered by the associated undesirable effects on hematopoiesis and body weight. For this reason, we tested carbamylated-EPO (CEPO), which has no effect erythropoiesis,
Nowadays, combining the different sources of information to improve biological knowledge available is a challenge in bioinformatics. One most powerful methods for integrating heterogeneous data types are kernel-based methods. Kernel-based integration approaches consist two basic steps: firstly right kernel chosen each set; secondly kernels from combined give complete representation given statistical task. We analyze several using PCA, point view reducing dimensionality. Moreover, we...
High-throughput technologies have generated vast amounts of omic data. It is a consensus that the integration diverse omics sources improves predictive models and biomarker discovery. However, managing multiple data poses challenges such as heterogeneity, noise, high-dimensionality missing data, especially in block-wise patterns. This study addresses high dimensionality through regularization constrained-based approach. The methodology implemented R package bwm for binary continuous response...
The exact function of interleukin-19 (IL-19) on immune response is poorly understood. In mice, IL-19 up-regulates TNFα and IL-6 expression its deficiency increases susceptibility to DSS-induced colitis. humans, favors a Th2 elevated in several diseases. We here investigate the effects cells from active Crohn’s disease (CD) patient. Twenty-three CD patients 20 healthy controls (HC) were included. mRNA protein levels analyzed monocytes. determined vitro T cell phenotype production cytokines by...
Neuroprotection of erythropoietin (EPO) following long-term administration is hampered by the associated undesirable effects on hematopoiesis and body weight. For this reason, we tested carbamylated-EPO (CEPO), which has no effect erythropoiesis, compared it with EPO in AβPP/PS1 mouse model familial Alzheimer’s disease. Groups 5-month old wild type (WT) transgenic mice received chronic treatment consisting CEPO (2,500 or 5,000 UI/kg) U I/kg) 3 days/week for 4 weeks. Memory at end was...
The use of mouse models has revolutionized the field Down syndrome (DS), increasing our knowledge about neuropathology and helping to propose new therapies for cognitive impairment. However, concerns reproducibility results in mice their translatability humans have become a major issue, controlling moderators behavior is essential. Social environmental factors, experience researcher, sex strain animals can all effects on behavior, impact DS not been explored. Here we analyzed influence...
We consider a set of arithmetic operations in the latent space Generative Adversarial Networks (GANs) to edit histopathological images. analyze thousands image patches from whole-slide images breast cancer metastases histological lymph node sections. Image files were downloaded pathology contests CAMELYON 16 and 17. show that widely known architectures, such as: Deep Convolutional (DCGAN) Conditional (cDCGAN), allow editing using semantic concepts represent underlying visual patterns images,...
Abstract The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance such genes. Visualization tools are used to identify with microarray studies. Given large number recorded experiments, gene expression data generally displayed on a low dimensional plot, based linear methods. However, nonlinearity, due high-order terms interaction between genes, so alternative approaches, as kernel methods, may...
Background Breast milk is a complex and dynamic fluid needed for infant development protection due to its content of bioactive factors such as immunoglobulins (Igs). Most studies focus primarily on IgA, but other types Ig even immune components (cytokines adipokines) may also play significant roles in neonatal health. As first step, we aimed characterize the profile, many cytokines, two adipokines (leptin adiponectin) at sampling time points within transitional stage, which least studied...
Fruit fly compound eye is a premier experimental system for modelling human neurodegenerative diseases. Disruption of the retinal geometry has been historically assessed using time consuming and poorly reliable techniques such as histology or pseudopupil manual counting. Recent semiautomated quantification approaches rely either on region-of-interest delimitation engineered features to estimate degeneration extent. This work presents fully automated classification pipeline bright-field...
Functional tea beverages have emerged as a novel approach to achieving health benefits associated with tea. The use of metabolomics may improve the evaluation their consumption and effects. current study aimed at exploring urinary signature exposure functional high-catechin (HCT) using untargeted NMR-based metabolomics. Ten volunteers participated in crossover intervention study. Individuals consumed an HCT or control beverage over period 28 days. Multilevel partial least-squares...
Scope Evidence on the Mediterranean diet (MD) and age‐related cognitive decline (CD) is still inconclusive partly due to self‐reported dietary assessment. The aim of current study develop an MD‐ metabolomic score (MDMS) investigate its association with CD in community‐dwelling older adults. Methods results This includes participants from Three‐City Study Bordeaux ( n = 418) Dijon 422) cohorts who are free dementia at baseline. Repeated measures cognition over 12 years collected. An MDMS...
Pathway expression is multivariate in nature. Thus, from a statistical perspective, to detect differentially expressed pathways between two conditions, methods for inferring differences mean vectors need be applied. Maximum discrepancy (MMD) test determine whether samples are the same distribution, its implementation being greatly simplified using kernel method.An MMD-based successfully detected differential specifically of set genes involved certain fatty acid metabolic pathways....
Multimorbidity can be defined as the presence of two or more chronic diseases in an individual. This condition is associated with reduced quality life, increased disability, greater functional impairment, health care utilisation, fragmentation and complexity treatment, mortality. Thus, understanding its epidemiology inherent essential to improve life patients reduce costs multi-pathology. In this paper, using data from European Health Survey, we explore application Mixed Graphical Models...