Asociación entre contaminación del aire y lípidos en sangre en España
Resumen Antecedentes y objetivos: Nuestro objetivo fue evaluar las asociaciones entre la exposición a contaminantes atmosféricos y medidas estándar y avanzadas de lipoproteínas, en una muestra a nivel nacional representativa de la población adulta de España. Métodos: Incluimos a 4647 adultos (>18 años), participantes en el estudio nacional, transversal y poblacional di@bet.es, realizado entre 2008 […]
Fusión de redes de similitud para identificar fenotipos de fetos pequeños para edad gestacional
Resumen La restricción del crecimiento fetal (RCF) afecta al 5-10% de los embarazos, siendo el mayor contribuyente a la muerte fetal, y puede tener consecuencias a largo plazo para el niño. La implementación de un sistema de clasificación clínica estándar se ve obstaculizada por el espectro multifenotípico de fetos pequeños con diferencias sustanciales en los […]
Serum branch-chained amino acids are increased in type 2 diabetes
Abstract Background and aim: Circulating biomarkers of metabolic and cardiovascular diseases can help in the early detection and prevention of those diseases. Using proton nuclear magnetic resonance (1H-NMR), we aimed to study the plasma levels of low-molecular-weight metabolites (LMWMs) in a cohort of 307 patients with metabolic diseases to assess their relationships with type-2 diabetes (T2D) […]
Increase in Inflammation-Linked Glycoproteins and a Proatherogenic Lipoprotein Profile in Psychosis
Abstract Minimally invasive prognostic markers of inflammation and dyslipidemia in individuals with a risk of psychosis, also called «at-risk mental state» (ARMS), or in the first episode of psychosis (FEP) are of utmost clinical importance to prevent cardiovascular disorders. We analyzed the plasma concentration of inflammation-linked glycoproteins (Glycs) and lipoprotein subclasses by proton nuclear magnetic […]
NMR-based metabolomic profiling identifies inflammation and muscle-related metabolites as predictors of incident type 2 diabetes mellitus beyond glucose: The Di@bet.es study
Abstract Aims: The aim of this study was to combine nuclear magnetic resonance-based metabolomics and machine learning to find a glucose-independent molecular signature associated with future type 2 diabetes mellitus development in a subgroup of individuals from the Di@bet.es study. Methods: The study group included 145 individuals developing type 2 diabetes mellitus during the 8-year follow-up, 145 […]
A case of hypocholesterolemia under study
Multifaceted Analysis of Cerebrospinal Fluid and Serum from Progressive Multiple Sclerosis Patients: Potential Role of Vitamin C and Metal Ion Imbalance in the Divergence of Primary Progressive Multiple Sclerosis and Secondary Progressive Multiple Sclerosis
PCSK9 Inhibitors Have Apolipoprotein C-III-Related Anti-Inflammatory Activity, Assessed by 1H-NMR Glycoprotein Profile in Subjects at High or very High Cardiovascular Risk
Abstract Atherosclerosis is a chronic inflammatory disease caused by the accumulation of cholesterol in the intima. Proprotein convertase subtilisin/kexin type 9 inhibitors (iPCSK9) can reduce low-density lipoprotein (LDL) cholesterol levels by 60%, but there is still no evidence that they can lower markers of systemic inflammation such as high-sensitivity C-reactive protein (hsCRP). Acute-phase serum glycoproteins […]
Humoral responses against HDL are linked to lipoprotein traits, atherosclerosis, inflammation and pathogenic pathways during early arthritis stages
Abstract Objective: Chronic inflammation and immune dysregulation are crucial mechanisms for atherosclerosis in RA. Recent evidence suggests a link via humoral responses against high-density lipoproteins (HDL). This study aimed to characterize the specificity, clinical relevance and emergence of humoral responses against HDL along disease course, especially during the earliest phases of arthritis. Methods: IgG and IgM serum […]
Similarity network fusion to identify phenotypes of small-for-gestational-age fetuses
Absract Fetal growth restriction (FGR) affects 5-10% of pregnancies, is the largest contributor to fetal death, and can have long-term consequences for the child. Implementation of a standard clinical classification system is hampered by the multiphenotypic spectrum of small fetuses with substantial differences in perinatal risks. Machine learning and multiomics data can potentially revolutionize clinical […]
