2011
Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis
Vélez de Mendizábal N, Carneiro J, Solé R, Goñi J, Bragard J, Martinez-Forero I, Martinez-Pasamar S, Sepulcre J, Torrealdea J, Bagnato F, Garcia-Ojalvo J, Villoslada P. Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis. BMC Systems Biology 2011, 5: 114. PMID: 21762505, PMCID: PMC3155504, DOI: 10.1186/1752-0509-5-114.Peer-Reviewed Original ResearchConceptsCross-regulationT cellsAutoimmune diseasesImmune systemMultiple sclerosisEffector T cellsRegulatory T cellsT cell memoryTissue damageEffects of such therapyPathogenesis of autoimmune diseasesT cell activationPredicting disease courseModulating effectorsBiological knowledgeMolecular mechanismsIrreversible tissue damageClinical relapseStochastic eventsRegulatory populationsCentral toleranceAutoimmune activityDisease courseNegative feedbackEffectorComputational classifiers for predicting the short-term course of Multiple sclerosis
Bejarano B, Bianco M, Gonzalez-Moron D, Sepulcre J, Goñi J, Arcocha J, Soto O, Carro U, Comi G, Leocani L, Villoslada P. Computational classifiers for predicting the short-term course of Multiple sclerosis. BMC Neurology 2011, 11: 67. PMID: 21649880, PMCID: PMC3118106, DOI: 10.1186/1471-2377-11-67.Peer-Reviewed Original ResearchConceptsClinical end pointsCentral motor conduction timeMotor evoked potentialsMultiple sclerosisDiagnostic accuracyEnd pointsMRI lesion loadCourse of multiple sclerosisShort-term prognosisCourse of MSPrognosis of multiple sclerosisMotor conduction timeEDSS changeDisability progressionShort-term disabilityProspective cohortDisease courseClinical dataBaseline disabilityShort-term courseClinical variablesIndependent cohortMS patientsGray matter volumeBackgroundThe aim
2007
A Network Analysis of the Human T-Cell Activation Gene Network Identifies Jagged1 as a Therapeutic Target for Autoimmune Diseases
Palacios R, Goni J, Martinez-Forero I, Iranzo J, Sepulcre J, Melero I, Villoslada P. A Network Analysis of the Human T-Cell Activation Gene Network Identifies Jagged1 as a Therapeutic Target for Autoimmune Diseases. PLOS ONE 2007, 2: e1222. PMID: 18030350, PMCID: PMC2077806, DOI: 10.1371/journal.pone.0001222.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBayes TheoremCalcium-Binding ProteinsCase-Control StudiesEncephalomyelitis, Autoimmune, ExperimentalEnzyme-Linked Immunosorbent AssayFemaleFlow CytometryHumansImmunotherapyIntercellular Signaling Peptides and ProteinsJagged-1 ProteinLymphocyte ActivationMaleMembrane ProteinsMiceMice, Inbred C57BLMultiple SclerosisReverse Transcriptase Polymerase Chain ReactionSerrate-Jagged ProteinsT-LymphocytesConceptsAutoimmune diseasesMultiple sclerosisTherapeutic targetDevelopment of autoimmune diseasesControlling T cell activationExperimental autoimmune encephalomyelitisT cell proliferationTreatment of miceT cell activationTherapy induced changesLevels similar to controlsIn vitro treatmentGene networksGene interactionsTh1 functionTh2 functionTreg functionImmunomodulatory therapyAutoimmune encephalomyelitisSimilar to controlsIngenuity databaseImmune interventionT cellsDisease courseAgonist peptide