Publications

There is a strong association between metabolic syndrome (MS) and increased cardiovascular risk. Moreover, elevated nighttime blood pressure (BP) and non-dipping (subjects with <10% decline in the asleep relative to the awake BP mean) have been also linked to increased cardiovascular morbidity and mortality. We investigated the relation between MS, circadian time of hypertension treatment, and impaired nighttime BP decline in a cross-sectional study on 3352 (1576 men/1776 women) non-diabetic hypertensive subjects, 53.7 ± 13.1 (mean ± SD) yrs of age. Among them, 2056 were ingesting all their prescribed hypertension medication upon awakening, and 1296 were ingesting at least one of their BP medications at bedtime. BP was measured by ambulatory monitoring for 48 consecutive hours to substantiate reproducibility of the dipping pattern. Physical activity was simultaneously monitored every minute by wrist actigraphy to accurately calculate mean BP when awake and asleep for each subject. MS was present in 52.6% of the subjects. The prevalence of an altered non-dipper BP profile was significantly higher among subjects with MS (52.0% vs. 39.5% in subjects without MS, p < .001). Non-dipping was significantly more prevalent among subjects ingesting all BP-lowering medications upon awakening (56.8%) than among those ingesting at least one of their BP medications at bedtime (29.1%; p < .001). Subjects with MS had significantly higher values of uric acid (6.0 vs. 5.3 g/dL, p < .001), plasma fibrinogen (331 vs. 315 mg/dL, p < .001), and erythrocyte sedimentation rate (14.8 vs. 12.4 mm, p < .001). Non-dipping was significantly associated with the presence of MS and treatment upon awakening in a multiple logistic regression model adjusted by significant confounding factors, including age, creatinine, erythrocyte sedimentation rate, and cigarette smoking. This cross-sectional study documents a significant increase of a blunted sleep-time BP decline in treated hypertensive subjects with MS. Even in the presence of MS, treatment at bedtime is significantly associated with lower prevalence of a high-risk non-dipper BP profile.

Emerging risk identification is a priority for the European Food Safety Authority (EFSA). The goal of the Galician Emerging Food Safety Risks Network (RISEGAL) is the identification of emerging risks in foods produced and commercialized in Galicia (northwest Spain) in order to propose prevention plans and mitigation strategies. In this work, RISEGAL applied a systematic approach for the identification of emerging food safety risks potentially affecting bivalve shellfish. First, a comprehensive review of scientific databases was carried out to identify hazards most quoted as emerging in bivalves in the period 2016–2018. Then, identified hazards were semiquantitatively assessed by a panel of food safety experts, who scored them accordingly with the five evaluation criteria proposed by EFSA: novelty, soundness, imminence, scale, and severity. Scores determined that perfluorinated compounds, antimicrobial resistance, Vibrio parahaemolyticus, hepatitis E virus (HEV), and antimicrobial residues are the emerging hazards that are considered most imminent and severe and that could cause safety problems of the highest scale in the bivalve value chain by the majority of the experts consulted (75%). Finally, in a preliminary way, an exploratory study carried out in the Galician Rías highlighted the presence of HEV in mussels cultivated in class B production areas.

The response of gold nanorods to both thermal and ultrafast laser-induced heating has been examined. The thermal heating experiments show structural changes that occur on timescales ranging from hours to days. At the highest temperature examined (250 degrees C) the nanorods are transformed into spheres within an hour. On the other hand, no structural changes are observed in the laser-induced heating experiments up to temperatures of 700 +/- 50 degrees C. This is attributed to thermal diffusion in the laser experiments. Measurements of the period of the extensional mode of the nanorods using time-resolved spectroscopy show a significant softening at high pump laser powers. However, the decrease in the period is less than expected from bulk Young's modulus vs. temperature data.

Abstract The sensitivity of localized surface plasmon resonances with respect to changes in the refractive index of the surrounding medium is measured for small (&lt; 60 nm side length) and large (ca. 150 nm side length) regular gold nanodecahedra (pentagonal bipyramids), and compared to rigorous solutions of Maxwell's equations for bicones based upon the boundary element method (BEM). Small particles are prepared through ultrasound‐induced reduction of HAuCl 4 by N , N ‐dimethylformamide (DMF) on presynthesized penta‐twinned Au seeds, whereas large decahedra are grown using smaller ones as seeds. Excellent agreement between experimental and calculated spectra is found for dispersions and monolayers of particles in different solvents, as well as for the effect of uniform silica layers of various thicknesses grown on them. These results are expected to be useful for the development of novel biosensors.

Background FSGS (focal and segmental glomerulosclerosis) is a clinical-pathologic condition marked by segmental and localized glomerular damages. Despite investigations, the molecular mechanisms behind FSGS development remain to be more clarified. By a comprehensive analysis of a FSGS related array set, the aim of this study was to unravel the top pathways and molecules involved in the pathogenesis of this disorder. Methods FSGS related microarray dataset (GSE129973) from the Gene Expression Omnibus (GEO) database was quality checked, analyzed and its differentially expressed genes (DEGs) (log2FC&gt;1) were used for construction of a protein-protein interaction (PPI) network (STRING). The degree of centrality was considered to select the hub molecules in the network. The WGCNA was utilized to construct co-expression modules. Hub molecules were selected based on module membership (MM) and gene significant (GS) values in the disease’s most correlated module. After spotting the key molecules considering both strategies, their expression pattern were checked in other FSGS microarray datasets. Gene ontology (GO) and Reactome pathway enrichment analyses were performed on the DEGs of the related module. Results After quality checking, normalization and analysis of the dataset, 5296 significant DEGs including 2469 up-regulated and 2827 downregulated DEGs were identified. The WGCNA algorithm clustered the DEGs into nine independent co-expression modules. The disease most-correlated module (black module) was recognized and considered for further enrichment analysis. The immune system, cell cycle, and vesicle-mediated transports were among the top enriched terms for the identified module’s DEGs. The immune system, cell cycle, and vesicle-mediated transports were among the top enriched terms for the black module’s DEGs. The key molecules (BMP-2 and COL4A1) were identified as common hub molecules extracted from the two methods of PPI and the co-expressed networks. The two identified key molecules were validated in other FSGS datasets, where a similar pattern of expression was observed for both the genes. Conclusions Two hub molecules (BMP-2 and COL4A) and some pathways (vesicle-mediated transport) were recognized as potential players in the pathogenesis of FSGS.