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Dive into the research topics where Susana G. Kalko is active.

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Featured researches published by Susana G. Kalko.


Journal of The American Society of Nephrology | 2009

Urine Proteomics to Detect Biomarkers for Chronic Allograft Dysfunction

Luis F. Quintana; Amanda Solé-González; Susana G. Kalko; Elisenda Bañón-Maneus; Manel Solé; Fritz Diekmann; Alex Gutierrez-Dalmau; Joaquín Abián; Josep M. Campistol

Despite optimal immunosuppressive therapy, more than 50% of kidney transplants fail because of chronic allograft dysfunction. A noninvasive means to diagnose chronic allograft dysfunction may allow earlier interventions that could improve graft half-life. In this proof-of-concept study, we used mass spectrometry to analyze differences in the urinary polypeptide patterns of 32 patients with chronic allograft dysfunction (14 with pure interstitial fibrosis and tubular atrophy and 18 with chronic active antibody-mediated rejection) and 18 control subjects (eight stable recipients and 10 healthy control subjects). Unsupervised hierarchical clustering showed good segregation of samples in groups corresponding mainly to the four biomedical conditions. Moreover, the composition of the proteome of the pure interstitial fibrosis and tubular atrophy group differed from that of the chronic active antibody-mediated rejection group, and an independent validation set confirmed these results. The 14 protein ions that best discriminated between these two groups correctly identified 100% of the patients with pure interstitial fibrosis and tubular atrophy and 100% of the patients with chronic active antibody-mediated rejection. In summary, this study establishes a pattern for two histologic lesions associated with distinct graft outcomes and constitutes a first step to designing a specific, noninvasive diagnostic tool for chronic allograft dysfunction.


Free Radical Biology and Medicine | 2012

Muscle and blood redox status after exercise training in severe COPD patients.

Diego A. Rodríguez; Susana G. Kalko; Ester Puig-Vilanova; Maitane Pérez-Olabarría; Francesco Falciani; Joaquim Gea; Marta Cascante; Esther Barreiro; Josep Roca

Beneficial effects of exercise training in patients with chronic obstructive pulmonary disease (COPD) are acknowledged. However, high-intensity exercise may enhance muscle oxidative stress in severe COPD patients. We hypothesized that high-intensity exercise training of long duration does not deteriorate muscle redox status. In the vastus lateralis and blood of 18 severe COPD patients and 12 controls, before and after an 8-week training program, protein oxidation and nitration, antioxidant systems, and inflammatory cytokines were examined. At baseline, COPD patients showed greater muscle oxidative stress and superoxide dismutase activity and circulating inflammatory cytokines than controls. Among COPD patients, muscle and blood protein carbonylation levels were correlated. Both groups showed training-induced increase in VO(2) peak and decreased blood lactate levels. After training, among the COPD patients, blood protein nitration levels were significantly reduced and muscle protein oxidation and nitration levels did not cause impairment. Muscle and blood levels of inflammatory cytokines were not modified by training in either patients or controls. We conclude that in severe COPD patients, high-intensity exercise training of long duration improves exercise capacity while preventing the enhancement of systemic and muscle oxidative stress. In addition, in these patients, resting protein oxidation levels correlate between skeletal muscle and blood compartments.


Human Reproduction | 2012

Differential RNAs in the sperm cells of asthenozoospermic patients

Meritxell Jodar; Susana G. Kalko; Judit Castillo; Josep Lluís Ballescà; Rafael Oliva

BACKGROUND Alterations in RNAs present in sperm have been identified using microarrays in teratozoospermic patients and in other types of infertile patients. However, so far, there have been no reports on using microarrays to determine the RNA content of sperm from asthenozoospermic patients. METHODS We started the present project with the goal of characterizing the RNA abundance in the sperm cells of asthenozoospermic patients when compared with controls. To reach this objective, we initially selected four normal fertile donors and four asthenozoospermic infertile patients. Equal amounts of RNA were extracted from the sperm samples, subjected to different quality controls and hybridized to the Affymetrix U133 Plus version 2 arrays. RESULTS Several transcripts were identified that were present in different abundance in patients compared with controls. Subsequently, we validated the differential expression of three of the detected transcripts (ANXA2, BRD2 and OAZ3), using real-time PCR in a larger set of samples. A positive correlation between the expression of these transcripts and progressive motility was observed. CONCLUSIONS The sperm cells of asthenozoospermic patients contain an altered amount of some RNAs as detected using microarray analysis and subsequently validated using real-time PCR. These results open up the possibility to investigate the implication of these genes in the pathogenic mechanisms in asthenozoospermia and to consider their potential utility as infertility biomarkers.


Proteins | 2001

Classical molecular interaction potentials: Improved setup procedure in molecular dynamics simulations of proteins

Josep Lluís Gelpí; Susana G. Kalko; Xavier Barril; Jordi Cirera; Xavier de la Cruz; F. Javier Luque; Modesto Orozco

The latest version of the classical molecular interaction potential (CMIP) has the ability to predict the position of crystallographic waters in several proteins with great accuracy. This article analyzes the ability of the CMIP functional to improve the setup procedure of the molecular system in molecular dynamics (MD) simulations of proteins. To this end, the CMIP strategy is used to include both water molecules and counterions in different protein systems. The structural details of the configurations sampled from trajectories obtained using the CMIP setup procedure are compared with those obtained from trajectories derived from a standard equilibration process. The results show that standard MD simulations can lead to artifactual results, which are avoided using the CMIP setup procedure. Because the CMIP is easy to implement at a low computational cost, it can be very useful in obtaining reliable MD trajectories. Proteins 2001;45:428–437.


PLOS Computational Biology | 2011

A Systems Biology Approach Identifies Molecular Networks Defining Skeletal Muscle Abnormalities in Chronic Obstructive Pulmonary Disease

Nil Turan; Susana G. Kalko; Anna Stincone; Kim Clarke; Ayesha Sabah; Katherine Howlett; S. John Curnow; Diego A. Rodríguez; Marta Cascante; Laura P. O'Neill; Stuart Egginton; Josep Roca; Francesco Falciani

Chronic Obstructive Pulmonary Disease (COPD) is an inflammatory process of the lung inducing persistent airflow limitation. Extensive systemic effects, such as skeletal muscle dysfunction, often characterize these patients and severely limit life expectancy. Despite considerable research efforts, the molecular basis of muscle degeneration in COPD is still a matter of intense debate. In this study, we have applied a network biology approach to model the relationship between muscle molecular and physiological response to training and systemic inflammatory mediators. Our model shows that failure to co-ordinately activate expression of several tissue remodelling and bioenergetics pathways is a specific landmark of COPD diseased muscles. Our findings also suggest that this phenomenon may be linked to an abnormal expression of a number of histone modifiers, which we discovered correlate with oxygen utilization. These observations raised the interesting possibility that cell hypoxia may be a key factor driving skeletal muscle degeneration in COPD patients.


Journal of Immunology | 2005

CD229 (Ly9) Lymphocyte Cell Surface Receptor Interacts Homophilically through Its N-Terminal Domain and Relocalizes to the Immunological Synapse

Xavier Romero; Nuria Zapater; Maria Calvo; Susana G. Kalko; Miguel Angel de la Fuente; Victoria Tovar; Charlotte Ockeloen; Pilar Pizcueta; Pablo Engel

CD229 is a member of the CD150 family of the Ig superfamily expressed on T and B cells. Receptors of this family regulate cytokine production and cytotoxicity of lymphocytes and NK cells. The cytoplasmic tail of CD229 binds to SAP, a protein that is defective in X-linked lymphoproliferative syndrome. To identify the CD229 ligand, we generated a soluble Ig fusion protein containing the two N-terminal extracellular domains of human CD229 (CD229-Ig). CD229-Ig bound to CD229-transfected cells, whereas no binding was detected on cells expressing other CD150 family receptors, showing that CD229 binds homophilically. Both human and mouse CD229 interacted with itself. Domain deletion mutants showed that the N-terminal Ig-domain mediates homophilic adhesion. CD229-CD229 binding was severely compromised when the charged amino acids E27 and E29 on the predicted B-C loop and R89 on the F-G loop of the N-terminal domain were mutated to alanine. In contrast, one mutation, R44A, enhanced the homophilic interaction. Confocal microscopy image analysis revealed relocalization of CD229 to the contact area of T and B cells during Ag-dependent immune synapse formation. Thus, CD229 is its own ligand and participates in the immunological synapse.


Molecular Cancer Therapeutics | 2012

Identification of Docetaxel Resistance Genes in Castration-Resistant Prostate Cancer

Mercedes Marín-Aguilera; Jordi Codony-Servat; Susana G. Kalko; Pedro L. Fernández; Raquel Bermudo; Elvira Buxo; M.J. Ribal; Pedro Gascón; Begoña Mellado

Docetaxel-based chemotherapy is the standard first-line therapy in metastatic castration-resistant prostate cancer (CRPC). However, most patients eventually develop resistance to this treatment. In this study, we aimed to identify key molecular genes and networks associated with docetaxel resistance in two models of docetaxel-resistant CRPC cell lines and to test for the most differentially expressed genes in tumor samples from patients with CRPC. DU-145 and PC-3 cells were converted to docetaxel-resistant cells, DU-145R and PC-3R, respectively. Whole-genome arrays were used to compare global gene expression between these four cell lines. Results showed differential expression of 243 genes (P < 0.05, Bonferroni-adjusted P values and log ratio > 1.2) that were common to DU-145R and PC-3R cells. These genes were involved in cell processes like growth, development, death, proliferation, movement, and gene expression. Genes and networks commonly deregulated in both DU-145R and PC-3R cells were studied by Ingenuity Pathways Analysis. Exposing parental cells to TGFB1 increased their survival in the presence of docetaxel, suggesting a role of the TGF-β superfamily in conferring drug resistance. Changes in expression of 18 selected genes were validated by real-time quantitative reverse transcriptase PCR in all four cell lines and tested in a set of 11 FFPE and five optimal cutting temperature tumor samples. Analysis in patients showed a noteworthy downexpression of CDH1 and IFIH1, among others, in docetaxel-resistant tumors. This exploratory analysis provides information about potential gene and network involvement in docetaxel resistance in CRPC. Further clinical validation of these results is needed to develop targeted therapies in patients with CRPC that can circumvent such resistance to treatment. Mol Cancer Ther; 11(2); 329–39. ©2011 AACR.


Journal of Chemical Physics | 1996

On the effects of truncating the electrostatic interactions: Free energies of ion hydration

Susana G. Kalko; G. Sesé; J. A. Padró

Free energies of ion hydration have been evaluated by using the thermodynamic integration technique (the slow growth method) in molecular dynamics simulations. Ionization processes of Na, Ca, and Cl have been considered. The cutoff method and the Ewald summation approach have been used alternatively in truncating the long‐range electrostatic interactions. The extended simple point charge (SPC/E) model [J. Phys. Chem. 91, 6269 (1987)] and the ion–water potentials of Straatsma and Berendsen [J. Chem. Phys. 89, 5876 (1988)] have been used in our simulations. The results have been tested against experimental measurements and the Ewald method has led to the best performances. A good agreement with the Born model was found in the charging process of a calcium ion. Changes in the organization of water molecules around the ion have been evaluated from equilibrium molecular dynamics simulations performed at different stages of this process. Ion–water radial distribution functions, and the orientation of water mole...


BMC Systems Biology | 2011

Knowledge management for systems biology a general and visually driven framework applied to translational medicine

Dieter Maier; Wenzel Kalus; Martin Wolff; Susana G. Kalko; Josep Roca; Igor Marín de Mas; Nil Turan; Marta Cascante; Francesco Falciani; Miguel Hernandez; Jordi Villà-Freixa; Sascha Losko

BackgroundTo enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory.ResultsTo address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data.ConclusionsWe generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.


BMC Genomics | 2014

Transcriptomic profiling of TK2 deficient human skeletal muscle suggests a role for the p53 signalling pathway and identifies growth and differentiation factor-15 as a potential novel biomarker for mitochondrial myopathies

Susana G. Kalko; Sonia Paco; C. Jou; Maria Angels Rodríguez; Marija Meznaric; Mihael Rogac; Maja Jekovec-Vrhovsek; Monica Sciacco; Maurizio Moggio; Gigliola Fagiolari; Boel De Paepe; Linda De Meirleir; Isidre Ferrer; Manel Roig-Quilis; Francina Munell; Julio Montoya; Ester López-Gallardo; Eduardo Ruiz-Pesini; Rafael Artuch; Ferran Torner; A. Nascimento; C. Ortez; J. Colomer; Cecilia Jimenez-Mallebrera

BackgroundMutations in the gene encoding thymidine kinase 2 (TK2) result in the myopathic form of mitochondrial DNA depletion syndrome which is a mitochondrial encephalomyopathy presenting in children. In order to unveil some of the mechanisms involved in this pathology and to identify potential biomarkers and therapeutic targets we have investigated the gene expression profile of human skeletal muscle deficient for TK2 using cDNA microarrays.ResultsWe have analysed the whole transcriptome of skeletal muscle from patients with TK2 mutations and compared it to normal muscle and to muscle from patients with other mitochondrial myopathies. We have identified a set of over 700 genes which are differentially expressed in TK2 deficient muscle. Bioinformatics analysis reveals important changes in muscle metabolism, in particular, in glucose and glycogen utilisation, and activation of the starvation response which affects aminoacid and lipid metabolism. We have identified those transcriptional regulators which are likely to be responsible for the observed changes in gene expression.ConclusionOur data point towards the tumor suppressor p53 as the regulator at the centre of a network of genes which are responsible for a coordinated response to TK2 mutations which involves inflammation, activation of muscle cell death by apoptosis and induction of growth and differentiation factor 15 (GDF-15) in muscle and serum. We propose that GDF-15 may represent a potential novel biomarker for mitochondrial dysfunction although further studies are required.

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Josep Roca

University of Barcelona

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Alvar Agusti

University of Barcelona

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Ignacio Fita

Spanish National Research Council

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Ramon Gomis

University of Barcelona

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