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 ResearchToward incorporating genetic risk scores into symptom networks of psychosis
Isvoranu A, Guloksuz S, Epskamp S, van Os J, Borsboom D, Investigators. Toward incorporating genetic risk scores into symptom networks of psychosis. Psychological Medicine 2019, 50: 636-643. PMID: 30867074, PMCID: PMC7093319, DOI: 10.1017/s003329171900045x.Peer-Reviewed Original ResearchEffects of Curcumin on Cognitive Functioning and Inflammatory State in Schizophrenia: A Double-Blind, Placebo-Controlled Pilot Trial.
Kucukgoncu S, Guloksuz S, Tek C. Effects of Curcumin on Cognitive Functioning and Inflammatory State in Schizophrenia: A Double-Blind, Placebo-Controlled Pilot Trial. Journal Of Clinical Psychopharmacology 2019, 39: 182-184. PMID: 30747752, DOI: 10.1097/jcp.0000000000001012.Peer-Reviewed Original ResearchPsychometric liability to psychosis and childhood adversities are associated with shorter telomere length: A study on schizophrenia patients, unaffected siblings, and non-clinical controls
Çevik B, Mançe-Çalışır Ö, Atbaşoğlu E, Saka M, Alptekin K, Üçok A, Sırmatel B, Gülöksüz S, Tükün A, van Os J, Gümüş-Akay G. Psychometric liability to psychosis and childhood adversities are associated with shorter telomere length: A study on schizophrenia patients, unaffected siblings, and non-clinical controls. Journal Of Psychiatric Research 2019, 111: 169-185. PMID: 30776705, DOI: 10.1016/j.jpsychires.2019.01.022.Peer-Reviewed Original ResearchConceptsShorter telomere lengthLonger telomere lengthChildhood adversityTelomere lengthUnaffected siblingsSCZ patientsChronic medical disordersCourse of schizophreniaSimilar telomere lengthPsychotic-like symptomsHypothesis patientsClinical presentationNon-clinical controlsMedical disordersGeneral populationFunctioning scoresPatientsSchizophrenia patientsSocio-demographic featuresGlobal assessmentEarly onsetSchizophreniaLife expectancyAges 0Potential role
2018
An Economic Evaluation of Coordinated Specialty Care (CSC) Services for First-Episode Psychosis in the U.S. Public Sector.
Murphy SM, Kucukgoncu S, Bao Y, Li F, Tek C, Breitborde NJK, Guloksuz S, Phutane VH, Ozkan B, Pollard JM, Cahill JD, Woods SW, Cole RA, Schoenbaum M, Srihari VH. An Economic Evaluation of Coordinated Specialty Care (CSC) Services for First-Episode Psychosis in the U.S. Public Sector. The Journal Of Mental Health Policy And Economics 2018, 21: 123-130. PMID: 30530872, PMCID: PMC6314808.Peer-Reviewed Original ResearchConceptsSpecialty care servicesPatient costsEarly intervention servicesUsual treatmentSchizophrenia spectrum disordersMonth 12Economic evaluationCare servicesSTEP participantsCommunity mental health centerThird-party payer perspectiveIntervention servicesFirst-episode servicesMonths post randomizationHealthcare service utilizationMental health centersU.S. public sectorTeam-based careCost-offset analysisEligible patientsThird-party payersAntipsychotic exposureED visitsMonth 6Episode psychosisReasoning bias, working memory performance and a transdiagnostic phenotype of affective disturbances and psychotic experiences in the general population
Reininghaus U, Rauschenberg C, Have M, de Graaf R, van Dorsselaer S, Simons CJP, Gunther N, Pries LK, Guloksuz S, Radhakrishnan R, Bak M, van Os J. Reasoning bias, working memory performance and a transdiagnostic phenotype of affective disturbances and psychotic experiences in the general population. Psychological Medicine 2018, 49: 1799-1809. PMID: 30160228, DOI: 10.1017/s0033291718002209.Peer-Reviewed Original ResearchConceptsComposite International Diagnostic InterviewAffective disturbancesPsychotic experiencesNetherlands Mental Health SurveySecond Netherlands Mental Health SurveyTransdiagnostic phenotypeJTC biasMental Health SurveyDose-response relationshipGeneral population sampleHealth SurveyGeneral populationIncidence studyHelp-seeking behaviorDiagnostic InterviewTime pointsMemory performanceConclusions reasoning biasPopulation sampleRecent findingsPhenotypeDigit span taskIndividualsFindingsPsychosisHigher schizotypy predicts better metabolic profile in unaffected siblings of patients with schizophrenia
Atbasoglu E, Gumus-Akay G, Guloksuz S, Saka M, Ucok A, Alptekin K, Gullu S, van Os J. Higher schizotypy predicts better metabolic profile in unaffected siblings of patients with schizophrenia. Psychopharmacology 2018, 235: 1029-1039. PMID: 29306964, DOI: 10.1007/s00213-017-4818-z.Peer-Reviewed Original ResearchConceptsInsulin resistanceDopaminergic activityMetabolic profileHomeostatic model assessmentHDL-C levelsBetter metabolic profilesFavorable metabolic profilePancreatic insulin secretionUnaffected siblingsBeads taskResultsInsulin resistanceTertile groupRegression modelsCentral actionInsulin secretionGeneral populationGenetic predispositionGlucose metabolismModel assessmentSZ patientsRegulatory roleDirect actionSignificant predictorsHigher likelihoodLongitudinal studyEvaluation of the Association between Lithium Treatment and GSK3β Polymorphism in Bipolar Disorder Patients.
Altınbaş K, Yeşilbaş D, İnce B, Cansız A, Sılan F, Özdemir Ö, Gülöksüz S. Evaluation of the Association between Lithium Treatment and GSK3β Polymorphism in Bipolar Disorder Patients. Turkish Journal Of Psychiatry 2018, 29: 73-78. PMID: 30215834, DOI: 10.5080/u20582.Peer-Reviewed Original ResearchConceptsMean ageLithium treatmentTreatment responseGSK-3βBipolar disorder type IBipolar disorder patientsLack of evidenceClinical predictorsHospital recordsTreatment adherenceTreatment optionsDisease onsetFirst episodeReal-time PCRIndividualized treatmentPharmacogenomic findingsBlood samplesDisorder patientsSide effectsAG genotypeClinical practiceScale scoreBipolar disorderPatientsSample cohort