2022
Age- and sex-specific associations between risk scores for schizophrenia and self-reported health in the general population
Paquin V, Pries L, ten Have M, Bak M, Gunther N, de Graaf R, van Dorsselaer S, Lin B, van Eijk K, Kenis G, Richards A, O’Donovan M, Luykx J, Rutten B, van Os J, Shah J, Guloksuz S. Age- and sex-specific associations between risk scores for schizophrenia and self-reported health in the general population. Social Psychiatry And Psychiatric Epidemiology 2022, 58: 43-52. PMID: 35913550, PMCID: PMC9845157, DOI: 10.1007/s00127-022-02346-3.Peer-Reviewed Original ResearchConceptsSex-specific associationsSelf-reported healthPRS-SCZES-SCZPhysical healthGeneral populationNetherlands Mental Health SurveyIncidence Study-2Mental Health SurveyHealth SurveyRisk scoreAge 65Common genetic variantsHealth correlatesAge 18Poor healthOlder individualsMental healthPolygenic riskLinear mixed modelsAgeSexExposome scoreHealthAssociationGeneral psychopathology and its social correlates in the daily lives of youth
Achterhof R, Kirtley O, Schneider M, Hagemann N, Hermans K, Hiekkaranta A, Lecei A, Decoster J, Derom C, De Hert M, Gülöksüz S, Jacobs N, Menne-Lothmann C, Rutten B, Thiery E, van Os J, van Winkel R, Wichers M, Myin-Germeys I. General psychopathology and its social correlates in the daily lives of youth. Journal Of Affective Disorders 2022, 309: 428-436. PMID: 35500686, DOI: 10.1016/j.jad.2022.04.147.Peer-Reviewed Original ResearchBe(com)ing Social: Daily-Life Social Interactions and Parental Bonding
Achterhof R, Schneider M, Kirtley O, Wampers M, Decoster J, Derom C, De Hert M, Guloksuz S, Jacobs N, Menne-Lothmann C, Rutten B, Thiery E, van Os J, van Winkel R, Wichers M, Myin-Germeys I. Be(com)ing Social: Daily-Life Social Interactions and Parental Bonding. Developmental Psychology 2022, 58: 792-805. PMID: 35343722, DOI: 10.1037/dev0001315.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultChildFathersFemaleHumansMaleObject AttachmentParentingParentsSocial InteractionYoung AdultConceptsParental Bonding InstrumentSocial interactionSocial experienceExperience sampling periodChildren's social developmentPositive social experiencesThree-factor structureMore social behaviorSocial developmentYoung adult twinsPsychological autonomyDaily lifeSocial functioningSocial dysfunctionParental bondingSocial behaviorBehavioral freedomSocial worldNontwin siblingsAdult twinsSocial independenceFactor analysisStyle of careSocializationStyle
2021
Schizophrenia and the Environment: Within-Person Analyses May be Required to Yield Evidence of Unconfounded and Causal Association—The Example of Cannabis and Psychosis
van Os J, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Wittchen H, Rutten B, Guloksuz S. Schizophrenia and the Environment: Within-Person Analyses May be Required to Yield Evidence of Unconfounded and Causal Association—The Example of Cannabis and Psychosis. Schizophrenia Bulletin 2021, 47: 594-603. PMID: 33693921, PMCID: PMC8084443, DOI: 10.1093/schbul/sbab019.Peer-Reviewed Original ResearchConceptsFixed-effects modelCannabis usePsychotic experiencesGeneral population cohortRandom-effects modelMental health outcomesRisk factorsTime-varying confoundersProspective associationsPopulation cohortHealth outcomesOwn controlCausal associationPsychosisCannabisLongitudinal studyAssociationBetween-person levelConfoundersCohortIncidenceSchizophrenia
2020
Predictive Performance of Exposome Score for Schizophrenia in the General Population
Pries L, Erzin G, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Rutten B, Guloksuz S. Predictive Performance of Exposome Score for Schizophrenia in the General Population. Schizophrenia Bulletin 2020, 47: 277-283. PMID: 33215211, PMCID: PMC7965069, DOI: 10.1093/schbul/sbaa170.Peer-Reviewed Original ResearchConceptsES-SCZOptimal cut pointGeneral populationPopulation cohortGeneral population cohortCut pointsExposome scoreSchizophrenia spectrum disordersMeta-analytical estimatesClinical outcomesRisk strataRisk stratificationMulticausal etiologyMedical outcomesPsychiatric diagnosisBipolar disorderSchizophrenia diagnosisExposure scoreSuicide planSum scoreGene-environment interaction studiesSchizophreniaRisk predictionCharacteristic curveScoresDo Current Measures of Polygenic Risk for Mental Disorders Contribute to Population Variance in Mental Health?
Marsman A, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Kenis G, Lin B, Luykx J, Rutten B, Guloksuz S, van Os J. Do Current Measures of Polygenic Risk for Mental Disorders Contribute to Population Variance in Mental Health? Schizophrenia Bulletin 2020, 46: 1353-1362. PMID: 33259628, PMCID: PMC7707067, DOI: 10.1093/schbul/sbaa086.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAdverse Childhood ExperiencesAgedFamilyFemaleGenetic Predisposition to DiseaseHealth SurveysHumansLife Change EventsLongitudinal StudiesMaleMarijuana UseMiddle AgedMultifactorial InheritanceNetherlandsPsychotic DisordersSchizophreniaSocioeconomic FactorsUrban PopulationYoung AdultConceptsPolygenic risk scoresSchizophrenia polygenic risk scoresMental healthFamily historyNetherlands Mental Health SurveyPopulation-based studyPolygenic riskChildhood traumaMental Health SurveyMental health changesEnvironmental risk factorsGeneral mental healthPopulation mental healthGeneral population sampleSomatic painRisk factorsHealth SurveyRisk scorePRS-SZBipolar disorderEpidemiological settingsMental disordersHealth changesAttributable variationPainA new genetic locus for antipsychotic-induced weight gain: A genome-wide study of first-episode psychosis patients using amisulpride (from the OPTiMiSE cohort)
Hark S, Jamain S, Schijven D, Lin B, Bakker M, Boland-Auge A, Deleuze J, Troudet R, Malhotra A, Gülöksüz S, Vinkers C, Ebdrup B, Kahn R, Leboyer M, Luykx J. A new genetic locus for antipsychotic-induced weight gain: A genome-wide study of first-episode psychosis patients using amisulpride (from the OPTiMiSE cohort). Journal Of Psychopharmacology 2020, 34: 524-531. PMID: 32126890, PMCID: PMC7222287, DOI: 10.1177/0269881120907972.Peer-Reviewed Original ResearchPolygenic liability for schizophrenia and childhood adversity influences daily‐life emotion dysregulation and psychosis proneness
Pries L, Klingenberg B, Menne‐Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Cinar O, Lin B, Luykx J, Rutten B, van Os J, Guloksuz S. Polygenic liability for schizophrenia and childhood adversity influences daily‐life emotion dysregulation and psychosis proneness. Acta Psychiatrica Scandinavica 2020, 141: 465-475. PMID: 32027017, PMCID: PMC7318228, DOI: 10.1111/acps.13158.Peer-Reviewed Original ResearchConceptsDaily life stressorsChildhood adversityEmotion dysregulationPositive affectPsychosis pronenessMomentary mental statesEcological momentary assessmentChildhood Trauma QuestionnaireGene-environment correlationNegative affectMental statesMomentary assessmentPsychosis expressionTrauma QuestionnaireAdversityAffectYoung adultsStressorsNovel evidencePolygenic liabilityInteraction effectsPronenessSchizophreniaHigh PRSState domain
2019
TwinssCan — Gene-Environment Interaction in Psychotic and Depressive Intermediate Phenotypes: Risk and Protective Factors in a General Population Twin Sample
Pries L, Snijders C, Menne-Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Guloksuz S, van Os J, Rutten B. TwinssCan — Gene-Environment Interaction in Psychotic and Depressive Intermediate Phenotypes: Risk and Protective Factors in a General Population Twin Sample. Twin Research And Human Genetics 2019, 22: 460-466. PMID: 31708010, DOI: 10.1017/thg.2019.96.Peer-Reviewed Original ResearchConceptsNeurocognitive processesSalience attributionSocial defeatGeneral population twin sampleExecutive functioningCognitive phenotypesExperimental paradigmSeverity of psychopathologyAffective dysregulationSubclinical expressionDimensional phenotypesMental ill healthClinical psychopathologyTwin sampleOnset of disorderPsychotic experiencesPsychopathologyProtective factorsSchizophrenia ProjectAttributionIll healthIntermediate phenotypesGene-environment interactionsMemoryFunctioningReplicated evidence that endophenotypic expression of schizophrenia polygenic risk is greater in healthy siblings of patients compared to controls, suggesting gene–environment interaction. The EUGEI study
van Os J, Pries L, Delespaul P, Kenis G, Luykx J, Lin B, Richards A, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran E, Kaymak S, Mihaljevic M, Petrovic S, Mirjanic T, Bernardo M, Cabrera B, Bobes J, Saiz P, García-Portilla M, Sanjuan J, Aguilar E, Santos J, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric N, Atbaşoğlu C, Ucok A, Alptekin K, Saka M, Arango C, O'Donovan M, Rutten B, Guloksuz S. Replicated evidence that endophenotypic expression of schizophrenia polygenic risk is greater in healthy siblings of patients compared to controls, suggesting gene–environment interaction. The EUGEI study. Psychological Medicine 2019, 50: 1884-1897. PMID: 31414981, DOI: 10.1017/s003329171900196x.Peer-Reviewed Original ResearchConceptsPsychotic disordersPolygenic riskSchizophrenia polygenic riskGene-environment interactionsGenetic riskRelatives of patientsFirst-degree relativesPsychosis phenotypeAverage genetic riskIntermediate phenotypesHealthy siblingsCognitive intermediate phenotypesControl groupAnalysis of associationAverage riskPatientsOrganization framework and preliminary findings from the Athens First‐Episode Psychosis Research Study
Xenaki L, Kollias C, Stefanatou P, Ralli I, Soldatos R, Dimitrakopoulos S, Hatzimanolis A, Triantafyllou T, Kosteletos I, Vlachos I, Selakovic M, Foteli S, Mantonakis L, Ermiliou V, Voulgaraki M, Psarra E, Gülöksüz S, van Os J, Stefanis N. Organization framework and preliminary findings from the Athens First‐Episode Psychosis Research Study. Early Intervention In Psychiatry 2019, 14: 343-355. PMID: 31402581, DOI: 10.1111/eip.12865.Peer-Reviewed Original ResearchConceptsRisk factorsMild functional improvementLongitudinal cohort studySymptom severity criteriaPoor cognitive performanceOutcome of psychosisPreliminary findingsPatients 16Cohort studyAntipsychotic treatmentClinical pictureFEP patientsClinical managementFunctional improvementFamily historyEmergency unitBaseline presentationSeverity criteriaPsychiatric hospitalPsychotic disordersClinical InterviewDrug usePotential associationGene-environment interaction studiesBiochemical parametersPhenotypic factors associated with amisulpride‐induced weight gain in first‐episode psychosis patients (from the OPTiMiSE cohort)
Pandit R, Cianci D, Hark S, Rossum I, Ebdrup B, Broberg B, Garcia‐Portilla M, Bobes J, Vinkers C, Kahn R, Guloksuz S, Huitema A, Luykx J. Phenotypic factors associated with amisulpride‐induced weight gain in first‐episode psychosis patients (from the OPTiMiSE cohort). Acta Psychiatrica Scandinavica 2019, 140: 283-290. PMID: 31323113, PMCID: PMC6771865, DOI: 10.1111/acps.13074.Peer-Reviewed Original ResearchConceptsFirst-episode psychosis patientsPsychosis patientsWeight gainSchizophreniform disorderAntipsychotic-induced weight gainFirst-episode patientsManagement of schizophreniaLower baseline weightMultivariable regression modelsWeight-reducing strategiesOptimization of treatmentRegression modelsMajor depression disorderPhenotypic factorsAmisulpride treatmentBaseline weightEurope (Syst-Eur) trialMost antipsychoticsDepression disorderYoung subjectsBody weightPatientsBetter efficacyYounger ageAIWGEstimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study
Pries L, Lage-Castellanos A, Delespaul P, Kenis G, Luykx J, Lin B, Richards A, Akdede B, Binbay T, Altinyazar V, Yalinçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran E, Kaymak S, Mihaljevic M, Petrovic S, Mirjanic T, Bernardo M, Cabrera B, Bobes J, Saiz P, García-Portilla M, Sanjuan J, Aguilar E, Santos J, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric N, Atbaşoğlu C, Ucok A, Alptekin K, Saka M, Alizadeh B, van Amelsvoort T, Bruggeman R, Cahn W, de Haan L, Luykx J, van Winkel R, Rutten B, van Os J, Arango C, O’Donovan M, Rutten B, van Os J, Guloksuz S. Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study. Schizophrenia Bulletin 2019, 45: 960-965. PMID: 31508804, PMCID: PMC6737483, DOI: 10.1093/schbul/sbz054.Peer-Reviewed Original Research
2015
Evidence that the presence of psychosis in non-psychotic disorder is environment-dependent and mediated by severity of non-psychotic psychopathology
Guloksuz S, van Nierop M, Lieb R, van Winkel R, Wittchen H, van Os J. Evidence that the presence of psychosis in non-psychotic disorder is environment-dependent and mediated by severity of non-psychotic psychopathology. Psychological Medicine 2015, 45: 2389-2401. PMID: 25804288, DOI: 10.1017/s0033291715000380.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAdult Survivors of Child Adverse EventsDiagnostic and Statistical Manual of Mental DisordersEnvironmental ExposureFemaleGermanyHelp-Seeking BehaviorHumansMaleModels, PsychologicalMood DisordersObsessive-Compulsive DisorderPsychopathologyPsychotic DisordersRisk FactorsSeverity of Illness IndexSubstance-Related DisordersUrban PopulationYoung AdultConceptsNon-psychotic disordersNon-psychotic psychopathologyRisk factorsMood disordersPsychotic experiencesHelp-seeking behaviorDSM-IV mood disordersEnvironmental exposuresSevere clinical stateDose-response fashionEnvironmental risk factorsPresence of psychosisIndex of severitySubthreshold psychotic experiencesIllness severityClinical stateGeneral psychopathologyCannabis useDisordersSeverityCompulsive disorderPsychotic psychopathologyPsychosisPsychopathologyTraumaThe impact of electroconvulsive therapy on the tryptophan–kynurenine metabolic pathway
Guloksuz S, Arts B, Walter S, Drukker M, Rodriguez L, Myint A, Schwarz M, Ponds R, van Os J, Kenis G, Rutten B. The impact of electroconvulsive therapy on the tryptophan–kynurenine metabolic pathway. Brain Behavior And Immunity 2015, 48: 48-52. PMID: 25765557, DOI: 10.1016/j.bbi.2015.02.029.Peer-Reviewed Original ResearchConceptsTrp-Kyn pathwayHamilton Depression Rating Scale-17 itemsElectroconvulsive therapyBeck Depression InventoryMechanism of actionKynurenic acidTrp-KynKyn/Trp ratioKYNA/KYN ratioTryptophan-kynurenine metabolic pathwayLast ECT sessionBilateral electroconvulsive therapyKyn/TrpTreatment of depressionMultilevel linear regression analysesKYN metabolitesECT sessionsAntidepressant effectsECT responseBipolar depressionECT treatmentTrp ratioNeuroprotective propertiesKynurenine pathwayNeurotoxic processes
2014
Clinical Features of Night Eating Syndrome among Depressed Patients
Kucukgoncu S, Tek C, Bestepe E, Musket C, Guloksuz S. Clinical Features of Night Eating Syndrome among Depressed Patients. European Eating Disorders Review 2014, 22: 102-108. PMID: 24436087, DOI: 10.1002/erv.2280.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAnxiety DisordersBody Mass IndexCircadian RhythmDepressionFeeding and Eating DisordersFeeding BehaviorFemaleHumansInterviews as TopicMaleMiddle AgedObesityPersonality InventoryPrevalencePsychiatric Status Rating ScalesQuality of LifeRegression AnalysisSocioeconomic FactorsStress, PsychologicalSurveys and QuestionnairesSyndromeYoung AdultConceptsPittsburgh Sleep Quality IndexBeck Depression InventoryBeck Anxiety InventoryClinical featuresDepressed patientsDepression InventoryNon-NE patientsNight eating syndromeSleep Quality IndexSample of patientsAnxiety InventorySeverity of anxietyNight Eating QuestionnaireSocio-demographic formSmoking statusDaytime dysfunctionSleep qualityDepressed outpatientsPatientsSyndromeEating QuestionnaireStudy sampleBMISignificant differencesDepression
2013
Metabolic syndrome prevalence in different affective temperament profiles in bipolar-I disorder
Altinbas K, Guloksuz S, Oral E. Metabolic syndrome prevalence in different affective temperament profiles in bipolar-I disorder. Brazilian Journal Of Psychiatry 2013, 35: 131-135. PMID: 23904017, DOI: 10.1590/1516-4446-2011-0746.Peer-Reviewed Original ResearchConceptsMetabolic syndrome prevalenceDevelopment of MetSInternational Diabetes FederationMetabolic syndrome markersMood Disorders UnitSan Diego-Autoquestionnaire versionProportion of MetSDepressive temperament scoresAffective temperament profilesMetS prevalenceDiabetes FederationSyndrome prevalenceDisorders unitBipolar patientsBrain structuresSocioeconomic statusTemperament EvaluationPatientsMetSPrevalenceTemperament profilesTemperament scoresTemperamental profilesMetS.
2012
Reversible ptosis probably related to duloxetine use
Ozkose M, Guloksuz S, Ince B, Altinbas K. Reversible ptosis probably related to duloxetine use. General Hospital Psychiatry 2012, 34: e9-e10. PMID: 22264655, DOI: 10.1016/j.genhosppsych.2011.12.002.Peer-Reviewed Original Research