Institution
Open University of Catalonia
Education•Barcelona, Spain•
About: Open University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Collaborative learning & Educational technology. The organization has 1943 authors who have published 4646 publications receiving 64200 citations. The organization is also known as: Universitat Oberta de Catalunya & UOC.
Papers published on a yearly basis
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TL;DR: Unique gene expression profiles in muscle biopsies from patients with MSA-defined subtypes of myositis and IBM suggest that different pathological mechanisms underly muscle damage in each of these diseases.
Abstract: Objectives Myositis is a heterogeneous family of diseases that includes dermatomyositis (DM), antisynthetase syndrome (AS), immune-mediated necrotising myopathy (IMNM), inclusion body myositis (IBM), polymyositis and overlap myositis. Additional subtypes of myositis can be defined by the presence of myositis-specific autoantibodies (MSAs). The purpose of this study was to define unique gene expression profiles in muscle biopsies from patients with MSA-positive DM, AS and IMNM as well as IBM. Methods RNA-seq was performed on muscle biopsies from 119 myositis patients with IBM or defined MSAs and 20 controls. Machine learning algorithms were trained on transcriptomic data and recursive feature elimination was used to determine which genes were most useful for classifying muscle biopsies into each type and MSA-defined subtype of myositis. Results The support vector machine learning algorithm classified the muscle biopsies with >90% accuracy. Recursive feature elimination identified genes that are most useful to the machine learning algorithm and that are only overexpressed in one type of myositis. For example, CAMK1G (calcium/calmodulin-dependent protein kinase IG), EGR4 (early growth response protein 4) and CXCL8 (interleukin 8) are highly expressed in AS but not in DM or other types of myositis. Using the same computational approach, we also identified genes that are uniquely overexpressed in different MSA-defined subtypes. These included apolipoprotein A4 (APOA4), which is only expressed in anti-3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) myopathy, and MADCAM1 (mucosal vascular addressin cell adhesion molecule 1), which is only expressed in anti-Mi2-positive DM. Conclusions Unique gene expression profiles in muscle biopsies from patients with MSA-defined subtypes of myositis and IBM suggest that different pathological mechanisms underly muscle damage in each of these diseases.
59 citations
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TL;DR: Backhaul-based horizontal cooperation in road transportation is discussed and the relevance of this praxis as a way of reducing both routing costs as well as costs due to CO2 emissions is supported.
59 citations
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TL;DR: The results obtained from an analysis of logistic regression show evidence of the perception of efficiency and effectiveness in collaboration with the members of the VCoP as positively influencing the perceived satisfaction with the CoP.
59 citations
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TL;DR: A physical, nutritional, neurocognitive, and pharmacological multifaceted intervention was effective in reversing frailty measures both at short-term and 18 months.
Abstract: Background Detecting and managing frailty at early stages can prevent disability and other adverse outcomes. The study aim was to evaluate whether a multifactorial intervention program could modify physical and cognitive frailty parameters in elderly individuals. Methods We conducted a multicenter, randomized, single-blind, parallel-group trial in community-living prefrail/frail elderly individuals in Barcelona. A total of 352 patients, aged ≥65 years old with positive frailty screening, was randomized into two groups to receive a 12-week multidisciplinary intervention or usual care, with concealed allocation. The intervention consisted of: exercise training, intake of hyperproteic nutritional shakes, memory training, and medication review. Main outcome assessments with multivariate analysis were conducted at 3 and 18 months. Results A total of 347 participants (98.6%) completed the study, mean age 77.3 years, 89 prefrail subjects (25.3%), and 75.3% female (n = 265). Eighteen-month assessments were performed in 76% of the sample. After 3 and 18 months, adjusted means difference between-groups showed significant improvements for the intervention group in all comparisons: Short Physical Performance Battery score improved 1.58 and 1.36 points (p < .001), handgrip strength 2.84 and 2.49 kg (p < .001), functional reach 4.3 and 4.52 cm (p < .001), and number of prescriptions decreased 1.39 and 1.09 (p < .001), respectively. Neurocognitive battery also showed significant improvements across all dimensions at 3 and 18 months. Conclusions A physical, nutritional, neurocognitive, and pharmacological multifaceted intervention was effective in reversing frailty measures both at short-term and 18 months. Lasting benefits of a multi-intervention program among frail elderly individuals encourage its prioritization.
59 citations
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TL;DR: increasing ageing population, Telecare, actually, has now turned into a technical solution broad enough to manage many different kinds of problems, and is adaptable enough to take into account individual and very contextual necessities.
Abstract: increasing ageing population. 2 Telecare, actually, has now turned into a technical solution broad enough to manage many different kinds of problems, from health problems to social problems, and is adaptable enough to take into account individual and very contextual necessities (see Koch, 2006), enabling elderly people to maintain their independent lifestyle as long as possible (see Milligan et al., 2006). Despite a wide variety of contexts of application and technological
59 citations
Authors
Showing all 2008 results
Name | H-index | Papers | Citations |
---|---|---|---|
Andrea Saltelli | 65 | 184 | 31540 |
Jose A. Rodriguez | 63 | 597 | 17218 |
Cristina Botella | 55 | 404 | 13075 |
Fatos Xhafa | 52 | 692 | 10379 |
Jaime Kulisevsky | 48 | 210 | 15066 |
William H. Dutton | 43 | 277 | 7048 |
Angel A. Juan | 41 | 284 | 5040 |
Aditya Khosla | 39 | 61 | 50417 |
Jordi Cabot | 38 | 106 | 5022 |
Jordi Cortadella | 38 | 226 | 5736 |
Antoni Valero-Cabré | 37 | 99 | 6091 |
Berta Pascual-Sedano | 34 | 87 | 4377 |
Josep Lladós | 33 | 271 | 4243 |
Carlo Gelmetti | 33 | 159 | 3912 |
Juan V. Luciano | 33 | 106 | 2931 |