A5041603252- Heavy Metal Exposure and Toxicity
- Trace Elements in Health
- Genetic Associations and Epidemiology
- Selenium in Biological Systems
- Bone health and osteoporosis research
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Epigenetics and DNA Methylation
- Arsenic contamination and mitigation
- Acute Lymphoblastic Leukemia research
- RNA Research and Splicing
- Diet and metabolism studies
- Heavy metals in environment
- Health, Environment, Cognitive Aging
- RNA modifications and cancer
- Birth, Development, and Health
Instituto de Salud Carlos III
2021-2025
Universitat Politècnica de València
2022-2025
University of Freiburg
2024-2025
University Medical Center Freiburg
2024
Centro Nacional de Epidemiología
2022
To assess whether the role of selenium on pre-diabetes is differential by age, given comorbidities and decreased β-cell function in older adults. We evaluated cross-sectional association blood with homeostatic model assessment for insulin resistance (HOMA-IR) (HOMA-β) middle-aged (Aragon Workers Health Study [AWHS], N = 1186), (Seniors ENRICA [Study Nutrition Cardiovascular Risk Spain]-2 [SEN-2], 915) diabetes-free A subsample participants from AWHS (N 571) SEN-2 603) had glucose repeated...
Limited studies have evaluated the joint influence of redox-related metals and genetic variation on metabolic pathways. We analyzed association 11 with patterns, interacting role candidate variants, in 1145 participants from Hortega Study, a population-based sample Spain.Urine antimony (Sb), arsenic, barium (Ba), cadmium (Cd), chromium (Cr), cobalt (Co), molybdenum (Mo) vanadium (V), plasma copper (Cu), selenium (Se) zinc (Zn) were measured by ICP-MS AAS, respectively. summarized 54...
Abstract The statistical analysis of omics data poses a great computational challenge given their ultra–high-dimensional nature and frequent between-features correlation. In this work, we extended the iterative sure independence screening (ISIS) algorithm by pairing ISIS with elastic-net (Enet) 2 versions adaptive (adaptive (AEnet) multistep (MSAEnet)) to efficiently improve feature selection effect estimation in research. We subsequently used genome-wide human blood DNA methylation from...
Abstract Summary This article introduces the metaGWASmanager, which streamlines genome-wide association studies within large-scale meta-analysis consortia. It is a toolbox for both central consortium analysis group and participating to generate homogeneous phenotypes, minimize unwanted variability from inconsistent methodologies, ensure high-quality results, implement time-efficient quality control workflows. The features plug-in-based approach customization of testing. Results...
Abstract Summary This paper introduces the metaGWASmanager, which streamlines genome-wide association studies within large-scale meta-analysis consortia. It is a toolbox for both central consortium analysis group and participating to generate homogeneous phenotypes, minimize variance from inconsistent methodologies, ensure high-quality results, implement time-efficient quality control workflows. The features plug-in-based approach customization. Results metaGWASmanager has been successfully...
Background: Identifying potencial determinants of serum selenoproteins and selenometabolites can help understanding selenium-related metabolism health consequences. We evaluated the cross-sectional association between environmental factors total concentration composition in Aragon Workers Health Study (AWHS), a participating cohort SelenOmics project. Materials methods. Serum (glutathione peroxidase [GPx], selenoprotein P [SeP], selenoalbumin [SeAlb]), (Se-metabolites) selenium urine metals...
Background and aim: The bone remodeling process may be influenced by metabolic factors. We evaluated the cross-sectional association of patterns with reduced mineral density (BMD) prospective incident osteoporosis-related fractures. Since copper, selenium, zinc, arsenic, antimony, cadmium cobalt have been related to oxidative stress biomarkers in our study population, redox balance play a key role metabolism, we also assessed potential differential associations subgroups defined metals above...