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San Sebastián de los Reyes, Spain

Varade J.,Institute Investigacion Sanitaria del Hospital Clinico San Carlos IdISSC | Comabella M.,Hospital Universitari Vall dHebron | Ortiz M.A.,Institute Investigacion Sanitaria del Hospital Clinico San Carlos IdISSC | Arroyo R.,Institute Investigacion Sanitaria del Hospital Clinico San Carlos IdISSC | And 19 more authors.
Multiple Sclerosis Journal | Year: 2012

Background and objectives: Ten genes previously showing different evidence of association with multiple sclerosis have been selected to validate. Methods: Eleven polymorphisms were genotyped with the iPLEX™ Sequenom in a well-powered collection of Spanish origin including 2863 multiple sclerosis cases and 2930 controls. Results: Replication extended to the following polymorphisms: PKN2 (rs305217), GTF2B (rs7538427), EPHA4 (rs1517440), YTHDF3 (rs12115114), ANKFN1 (rs17758761) and PTPRM (rs4798571), which did not reach the threshold of significance in a follow-up of the first genome-wide association study (GWAS) conducted in multiple sclerosis; TMEM39A (rs1132200), which appeared as a newly identified susceptibility gene in the same study; a gene previously reaching GWAS significance in Italy, CBLB (rs9657904); IL12B (rs6887695, rs10045431), a susceptibility gene shared by diverse autoimmune diseases and, finally, another gene showing inconclusive association with multiple sclerosis, CNR1 (rs1049353). Conclusions: Pooled analysis corroborated the effect on MS predisposition of three genes: TMEM39A [rs1132200: p M-H=0.001; ORM-H (95% CI)= 0.84 (0.75-0.93)], IL12B [rs6887695: pM-H=0.03; ORM-H (95% CI)= 1.09 (1.01-1.17)] and CBLB [rs9657904: pM-H=0.01; ORM-H (95% CI)= 0.89 (0.81-0.97)]. © The Author(s) 2012. Source

Zamora-Ros R.,Catalan Institute of Nanoscience and Nanotechnology | Knaze V.,Catalan Institute of Nanoscience and Nanotechnology | Lujan-Barroso L.,Catalan Institute of Nanoscience and Nanotechnology | Slimani N.,International Agency for Research on Cancer IARC | And 45 more authors.
British Journal of Nutrition | Year: 2011

Anthocyanidins are bioactive flavonoids with potential health-promoting effects. These may vary among single anthocyanidins considering differences in their bioavailability and some of the mechanisms involved. The aim of the present study was to estimate the dietary intake of anthocyanidins, their food sources and the lifestyle factors (sex, age, BMI, smoking status, educational level and physisical activity) involved among twenty-seven centres in ten European countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Anthocyanidin intake and their food sources for 36037 subjects, aged between 35 and 74 years, in twenty-seven redefined centres were obtained using standardised 24h dietary recall software (EPIC-SOFT). An ad hoc food composition database on anthocyanidins (cyanidin, delphinidin, malvidin, pelargonidin, peonidin, petunidin) was compiled using data from the US Department of Agriculture and Phenol-Explorer databases and was expanded by adding recipes, estimated values and cooking factors. For men, the total anthocyanidin mean intake ranged from 19·83 (se 1·53) mg/d (Bilthoven, The Netherlands) to 64·88 (se 1·86) mg/d (Turin, Italy), whereas for women the range was 18·73 (se 2·80) mg/d (Granada, Spain) to 44·08 (se 2·45) mg/d (Turin, Italy). A clear south to north gradient intake was observed. Cyanidins and malvidins were the main anthocynidin contributors depending on the region and sex. Anthocyanidin intake was higher in non-obese older females, non-smokers, and increased with educational level and physical activity. The major food sources were fruits, wine, non-alcoholic beverages and some vegetables. The present study shows differences in both total and individual anthocyanidin intakes and various lifestyle factors throughout Europe, with some geographical variability in their food sources. Copyright © The Authors 2011. Source

Vrotsou K.,Instituto Investigacion Sanitaria BioDonostia | Vergara I.,Instituto Investigacion Sanitaria BioDonostia
BMC Geriatrics | Year: 2016

Background: Frailty can be defined as a progressive loss of reserve and adaptive capacity associated with an overall deterioration in health that can result in disability, loss of independence, hospitalisation, extensive use of healthcare resources, admission to long-term care and death. Nevertheless, despite widespread use of the term, there is no agreement on the definition of frailty or an instrument to identify it in a straightforward way. The purpose of the current study was to explore which factors are associated with frailty-related adverse outcomes in elderly individuals and to propose a suitable tool for identifying such individuals, particularly in primary care settings. Methods: A prospective open cohort study of community dwelling, independent individuals aged 75 or over, followed up for 2 years. The study was entirely conducted in a primary care setting. Study variables included independence status measured by Barthel's Index and the Lawton Instrumental Activities of Daily Living Scale, functional performance, assessed by Timed Up and Go (TUG) and Gait Speed (GS) tests and levels of polipharmacy, comorbidity and social support. Outcome variables were specific frailty-related adverse events, namely, loss of independence and death. Results: Overall, 215 community-dwelling independent individuals initiated the study. Of these, 46 were lost to follow-up and 50 had frailty-related adverse events during the follow-up period. Individuals with adverse events during the study had poorer functional status at baseline. The multivariate model that best explained the occurrence of these events included the variables of age, presence of polipharmacy and the TUG time. The AUC (Area under the curve) of this model was 0.822. Conclusions: Given the simplicity of assessing the three derived factors and their combined discriminant power, the proposed model may be considered a suitable tool for identifying frail patients, i.e., people more likely to lose their independence or die within a relatively short time interval. © 2016 Diez-Ruiz et al. Source

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