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Dive into the research topics where Daniel Cuadras is active.

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Featured researches published by Daniel Cuadras.


Maturitas | 2015

Serum albumin and health in older people: Review and meta analysis

Sonia Cabrerizo; Daniel Cuadras; Fernando Gomez-Busto; Iñaki Artaza-Artabe; Fernando Marín-Ciancas; Vincenzo Malafarina

Albumin is the most abundant plasmatic protein. It is only produced by the liver and the full extent of its metabolic functions is not known in detail. One of the main roles assigned to albumin is as an indicator of malnutrition. There are many factors, in addition to nutrition, that influence levels of albumin in plasma. The main aim of this review is to assess the clinical significance of albumin in elderly people in the community, in hospital and in care homes. Following the review, it can be stated that age is not a cause of hypoalbuminemia. Albumin is a good marker of nutritional status in clinically stable people. Significant loss of muscle mass has been observed in elderly people with low albumin levels. Hypoalbuminemia is a mortality prognostic factor in elderly people, whether they live in the community or they are in hospital or institutionalized. Low levels of albumin are associated to worse recovery following acute pathologies. Inflammatory state and, particularly, high concentrations of IL-6 and TNF-alpha, are two of the main influencing factors of hypoalbuminemia. In elderly patients with a hip fracture, albumin levels below 38 g/L are associated to a higher risk of post-surgery complications, especially infections. Further research is needed on the impact of nutritional intervention upon albumin levels and on the outcomes in elderly people in the community, in hospital and in care.


PLOS ONE | 2015

Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Meta-Analysis of Treatment Outcome and Predictors of Response.

Pino Alonso; Daniel Cuadras; Loes Gabriëls; Damiaan Denys; Wayne K. Goodman; Ben D. Greenberg; Fiacro Jimenez-Ponce; Jens Kuhn; Doris Lenartz; Luc Mallet; Bart Nuttin; Eva Real; Cinto Segalàs; R. Schuurman; Sophie Tezenas du Montcel; José M. Menchón

Background Deep brain stimulation (DBS) has been proposed as an alternative to ablative neurosurgery for severe treatment-resistant Obsessive-Compulsive Disorder (OCD), although with partially discrepant results probably related to differences in anatomical targetting and stimulation conditions. We sought to determine the efficacy and tolerability of DBS in OCD and the existence of clinical predictors of response using meta-analysis. Methods We searched the literature on DBS for OCD from 1999 through January 2014 using PubMed/MEDLINE and PsycINFO. We performed fixed and random-effect meta-analysis with score changes (pre-post DBS) on the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) as the primary-outcome measure, and the number of responders to treatment, quality of life and acceptability as secondary measures. Findings Thirty-one studies involving 116 subjects were identified. Eighty-three subjects were implanted in striatal areas—anterior limb of the internal capsule, ventral capsule and ventral striatum, nucleus accumbens and ventral caudate—27 in the subthalamic nucleus and six in the inferior thalamic peduncle. Global percentage of Y-BOCS reduction was estimated at 45.1% and global percentage of responders at 60.0%. Better response was associated with older age at OCD onset and presence of sexual/religious obsessions and compulsions. No significant differences were detected in efficacy between targets. Five patients dropped out, but adverse effects were generally reported as mild, transient and reversible. Conclusions Our analysis confirms that DBS constitutes a valid alternative to lesional surgery for severe, therapy-refractory OCD patients. Well-controlled, randomized studies with larger samples are needed to establish the optimal targeting and stimulation conditions and to extend the analysis of clinical predictors of outcome.


Schizophrenia Bulletin | 2016

Raloxifene as an Adjunctive Treatment for Postmenopausal Women With Schizophrenia: A 24-Week Double-Blind, Randomized, Parallel, Placebo-Controlled Trial

Judith Usall; Elena Huerta-Ramos; Javier Labad; Jesús Cobo; Christian Núñez; Marta Creus; Gemma García Parés; Daniel Cuadras; José G. Franco; Eva Miquel; Julio César Reyes; Mercedes Roca

UNLABELLED The potential therapeutic utility of estrogens in schizophrenia is increasingly being recognized. Raloxifene, a selective estrogen receptor modulator, appears to act similarly to estrogens on dopamine and serotonin brain systems. One previous trial by our team found that raloxifene was useful to improve negative, positive, and general psychopathological symptoms, without having the negative side effects of estrogens. In this study, we assess the utility of raloxifene in treating negative and other psychotic symptoms in postmenopausal women with schizophrenia exhibiting prominent negative symptoms. This was a 24-week, randomized, parallel, double-blind, placebo-controlled study. Patients were recruited from the inpatient and outpatient departments of Parc Sanitari Sant Joan de Déu, Hospital Universitari Institut Pere Mata, and Corporació Sanitària Parc Taulí. Seventy postmenopausal women with schizophrenia (DSM-IV) were randomized to either adjunctive raloxifene (38 women) or adjunctive placebo (32 women). Psychopathological symptoms were assessed at baseline and at weeks 4, 12, and 24 with the Positive and Negative Syndrome Scale (PANSS) and the Scale for the Assessment of Negative Symptoms (SANS). The addition of raloxifene (60 mg/d) to regular antipsychotic treatment significantly reduced negative (P = .027), general (P = .003), and total symptomatology (P = .005) measured with the PANSS during the 24-week trial, as compared to women receiving placebo. Also Alogia SANSS subscale improved more in the raloxifene (P = .048) than the placebo group. In conclusion, raloxifene improved negative and general psychopathological symptoms, compared with antipsychotic medication alone, in postmenopausal women with schizophrenia. These data replicate our previous results with a larger sample and a longer follow-up. TRIAL REGISTRATION NCT01573637.


Molecular Oncology | 2014

Differences between CAFs and their paired NCF from adjacent colonic mucosa reveal functional heterogeneity of CAFs, providing prognostic information

Mireia Berdiel-Acer; Rebeca Sanz-Pamplona; Alexandre Calon; Daniel Cuadras; Antoni Berenguer; Xavier Sanjuan; Maria José Paules; Ramon Salazar; Victor Moreno; Eduard Batlle; Alberto Villanueva; David G. Molleví

Little is known about the difference in gene expression between carcinoma‐associated fibroblasts (CAFs) and paired normal colonic fibroblasts (NCFs) in colorectal cancer. Paired CAFs and NCFs were isolated from eight primary human colorectal carcinoma specimens. In culture conditions, soluble factors secreted by CAFs in the conditioned media increased clonogenicity and migration of epithelial cancer cells lines to a greater extent than did NCF. In vivo, CAFs were more competent as tumour growth enhancers than paired NCFs when co‐inoculated with colorectal cell lines. Gene expression analysis of microarrays of CAF and paired NCF populations enabled us to identify 108 deregulated genes (38 upregulated and 70 downregulated genes). Most of those genes are fibroblast‐specific. This has been validated in silico in dataset GSE39396 and by qPCR in selected genes. GSEA analysis revealed a differential transcriptomic profile of CAFs, mainly involving the Wnt signallingsignalling pathway, focal adhesion and cell cycle. Both deregulated genes and biological processes involved depicted a considerable degree of overlap with deregulated genes reported in breast, lung, oesophagus and prostate CAFs. These observations suggest that similar transcriptomic programs may be active in the transition from normal fibroblast in adjacent tissues to CAFs, independently of their anatomic demarcation. Additionally NCF already depicted an activated pattern associated with inflammation.


Communications in Statistics - Simulation and Computation | 2006

A Comparison of Different Methods for Representing Categorical Data

Carles M. Cuadras; Daniel Cuadras; Michael Greenacre

We first compare correspondence analysis, which uses chi-square distance, and an alternative approach using Hellinger distance, for representing categorical data in a contingency table. We propose a coefficient which globally measures the similarity between these two approaches. This coefficient can be decomposed into several components, one component for each principal dimension, indicating the contribution of the dimensions to the difference between the two representations. We also make comparisons with the logratio approach based on compositional data. These three methods of representation can produce quite similar results. Two illustrative examples are given.


Orphanet Journal of Rare Diseases | 2015

Phosphomannomutase deficiency (PMM2-CDG): ataxia and cerebellar assessment

Mercedes Serrano; Víctor de Diego; Jordi Muchart; Daniel Cuadras; Ana Felipe; Alfons Macaya; Ramón Velázquez; M. Pilar Poo; Carmen Fons; Mar O’Callaghan; Angels García-Cazorla; Cristina Boix; Bernabé Robles; Francisco Carratalá; Marisa Girós; Paz Briones; Laura Gort; Rafael Artuch; Celia Pérez-Cerdá; Jaak Jaeken; Belén Pérez; Belén Pérez-Dueñas

BackgroundPhosphomannomutase deficiency (PMM2-CDG) is the most frequent congenital disorder of glycosylation. The cerebellum is nearly always affected in PMM2-CDG patients, a cerebellar atrophy progression is observed, and cerebellar dysfunction is their main daily functional limitation. Different therapeutic agents are under development, and clinical evaluation of drug candidates will require a standardized score of cerebellar dysfunction. We aim to assess the validity of the International Cooperative Ataxia Rating Scale (ICARS) in children and adolescents with genetically confirmed PMM2-CDG deficiency. We compare ICARS results with the Nijmegen Pediatric CDG Rating Scale (NPCRS), neuroimaging, intelligence quotient (IQ) and molecular data.MethodsOur observational study included 13 PMM2-CDG patients and 21 control subjects. Ethical permissions and informed consents were obtained. Three independent child neurologists rated PMM2-CDG patients and control subjects using the ICARS. A single clinician administered the NPCRS. All patients underwent brain MRI, and the relative diameter of the midsagittal vermis was measured. Psychometric evaluations were available in six patients. The Mann–Whitney U test was used to compare ICARS between patients and controls. To evaluate inter-observer agreement in patients’ ICARS ratings, intraclass correlation coefficients (ICC) were calculated. ICARS internal consistency was evaluated using Cronbach’s alpha. Spearman’s rank correlation coefficient test was used to correlate ICARS with NPCRS, midsagittal vermis relative diameter and IQ.ResultsICARS and ICARS subscores differed between patients and controls (p < 0.001). Interobserver agreement of ICARS was “almost perfect” (ICC = 0.99), with a “good” internal reliability (Cronbach’s alpha = 0.72). ICARS was significantly correlated with the total NPCRS score (rs 0.90, p < 0.001). However, there was no agreement regarding categories of severity. Regarding neuroimaging, inverse correlations between ICARS and midsagittal vermis relative diameter (rs −0.85, p = 0.003) and IQ (rs −0.94, p = 0.005) were found. Patients bearing p.E93A, p.C241S or p.R162W mutations presented a milder phenotype.ConclusionsICARS is a reliable instrument for assessment of PMM2-CDG patients, without significant inter-rater variability. Despite our limited sample size, the results show a good correlation between functional cerebellar assessment, IQ and neuroimagingFor the first a correlation between ICARS, neuroimaging and IQ in PMM2-CDG patients has been demonstrated.


PLOS ONE | 2013

Polymorphisms in Alcohol Metabolism Genes ADH1B and ALDH2, Alcohol Consumption and Colorectal Cancer

Marta Crous-Bou; Gad Rennert; Daniel Cuadras; Ramon Salazar; David Cordero; Hedy S. Rennert; Flavio Lejbkowicz; Levy Kopelovich; Steven M. Lipkin; Stephen B. Gruber; Victor Moreno

Background Colorectal cancer (CRC) is a leading cause of cancer death worldwide. Epidemiological risk factors for CRC included alcohol intake, which is mainly metabolized to acetaldehyde by alcohol dehydrogenase and further oxidized to acetate by aldehyde dehydrogenase; consequently, the role of genes in the alcohol metabolism pathways is of particular interest. The aim of this study is to analyze the association between SNPs in ADH1B and ALDH2 genes and CRC risk, and also the main effect of alcohol consumption on CRC risk in the study population. Methodology/Principal Findings SNPs from ADH1B and ALDH2 genes, included in alcohol metabolism pathway, were genotyped in 1694 CRC cases and 1851 matched controls from the Molecular Epidemiology of Colorectal Cancer study. Information on clinicopathological characteristics, lifestyle and dietary habits were also obtained. Logistic regression and association analysis were conducted. A positive association between alcohol consumption and CRC risk was observed in male participants from the Molecular Epidemiology of Colorectal Cancer study (MECC) study (OR = 1.47; 95%CI = 1.18-1.81). Moreover, the SNPs rs1229984 in ADH1B gene was found to be associated with CRC risk: under the recessive model, the OR was 1.75 for A/A genotype (95%CI = 1.21-2.52; p-value = 0.0025). A path analysis based on structural equation modeling showed a direct effect of ADH1B gene polymorphisms on colorectal carcinogenesis and also an indirect effect mediated through alcohol consumption. Conclusions/Significance Genetic polymorphisms in the alcohol metabolism pathways have a potential role in colorectal carcinogenesis, probably due to the differences in the ethanol metabolism and acetaldehyde oxidation of these enzyme variants.


American Journal of Medical Genetics | 2014

Prevalence and heritability of obsessive-compulsive spectrum and anxiety disorder symptoms: A survey of the Australian Twin Registry

Clara López-Solà; Leonardo F. Fontenelle; Pino Alonso; Daniel Cuadras; Debra L. Foley; Christos Pantelis; Jesús Pujol; Murat Yücel; Narcís Cardoner; Carles Soriano-Mas; José M. Menchón; Ben J. Harrison

While past twin studies indicate moderate levels of heritability of “obsessive‐compulsive related” and anxiety disorder symptoms, no single study has reported such estimates in the same twin population nor examined potential genetic sex differences. We assessed symptoms of obsessive‐compulsive disorder, body dysmorphic disorder, hoarding disorder, hypochondriasis, panic disorder, social phobia and generalized anxiety disorder in 2,495 adult twins (1,468 female). Prevalence estimates for the corresponding symptom measures were determined using empirically derived cut‐off scores. Twin resemblance was assessed by Pearson correlations and biometrical model‐fitting analyses, incorporating sex‐specific effects, using OpenMx. Prevalence estimates ranged from 1.6% in the symptoms of generalized anxiety to 16.9% for social phobia. Female twins demonstrated significantly higher prevalence rates across all domains with the exception of obsessive‐compulsive symptoms. Additive genetic factors accounted for a moderate proportion of the total liability to each symptom domain. Evidence suggesting qualitative genetic sex differences (i.e., distinct genetic influences between genders) was observed for body dysmorphic concern and panic symptoms, while quantitative differences were observed for hoarding and social phobia symptoms, indicating stronger heritability in females. Novel findings in this study include the observation of probable genetic sex differences in liability towards hoarding symptoms and dysmorphic concern, as well as the lack of such differences in hypochondriasis. The trend towards qualitative sex differences in panic symptoms has some intuitive appeal with regard to biological‐experimental models of panic.


Oncotarget | 2015

FN14 and GRP94 expression are prognostic/predictive biomarkers of brain metastasis outcome that open up new therapeutic strategies.

Antonio Martínez-Aranda; Vanessa Hernández; Emre Guney; Laia Muixí; Ruben Foj; Núria Baixeras; Daniel Cuadras; Victor Moreno; Ander Urruticoechea; Miguel Gil; Baldo Oliva; Ferran Moreno; Eva González-Suárez; N. Vidal; Xavier Andreu; Miquel A. Seguí; Rosa Ballester; Eva Castella; Angels Sierra

Brain metastasis is a devastating problem in patients with breast, lung and melanoma tumors. GRP94 and FN14 are predictive biomarkers over-expressed in primary breast carcinomas that metastasized in brain. To further validate these brain metastasis biomarkers, we performed a multicenter study including 318 patients with breast carcinomas. Among these patients, there were 138 patients with metastasis, of whom 84 had brain metastasis. The likelihood of developing brain metastasis increased by 5.24-fold (95%CI 2.83–9.71) and 2.55- (95%CI 1.52–4.3) in the presence of FN14 and GRP94, respectively. Moreover, FN14 was more sensitive than ErbB2 (38.27 vs. 24.68) with similar specificity (89.43 vs. 89.55) to predict brain metastasis and had identical prognostic value than triple negative patients (p < 0.0001). Furthermore, we used GRP94 and FN14 pathways and GUILD, a network-based disease-gene prioritization program, to pinpoint the genes likely to be therapeutic targets, which resulted in FN14 as the main modulator and thalidomide as the best scored drug. The treatment of mice with brain metastasis improves survival decreasing reactive astrocytes and angiogenesis, and down-regulate FN14 and its ligand TWEAK. In conclusion our results indicate that FN14 and GRP94 are prediction/prognosis markers which open up new possibilities for preventing/treating brain metastasis.


Communications in Statistics-theory and Methods | 2012

Distance-Based Measures of Association with Applications in Relating Hyperspectral Images

Carles M. Cuadras; Silvia Valero; Daniel Cuadras; Philippe Salembier; Jocelyn Chanussot

We propose a distance-based method to relate two data sets. We define and study some measures of multivariate association based on distances between observations. The proposed approach can be used to deal with general data sets (e.g., observations on continuous, categorical or mixed variables). An application, using Hellinger distance, provides the relationships between two regions of hyperspectral images.

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Mercedes Serrano

Instituto de Salud Carlos III

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Alfons Macaya

Autonomous University of Barcelona

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Pino Alonso

Bellvitge University Hospital

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Cinto Segalàs

Bellvitge University Hospital

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Eva Real

Bellvitge University Hospital

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