2024
The association between aberrant salience and psychotic experiences in general population twins, and genetic vulnerability as a modifier
Drukker M, Todor T, Bongaarts J, Broggi E, Kelkar M, Wigglesworth T, Verhiel K, van Leeuwen K, Koster M, Derom C, Thiery E, De Hert M, Menne-Lothmann C, Decoster J, Collip D, van Winkel R, Jacobs N, Guloksuz S, Rutten B, van Os J. The association between aberrant salience and psychotic experiences in general population twins, and genetic vulnerability as a modifier. BMC Psychiatry 2024, 24: 736. PMID: 39462331, PMCID: PMC11515186, DOI: 10.1186/s12888-024-06176-2.Peer-Reviewed Original ResearchConceptsAberrant salienceGeneral population twinsPsychotic experiencesGenetic vulnerabilityGeneral population samplePsychotic symptomsAssociated with psychotic experiencesUltra-high-risk patientsPositive symptom scalesSubclinical psychotic symptomsWhite noise taskEpisode psychosis patientsAssociated with psychosisPopulation samplePsychosis spectrumPsychosis patientsSymptom ScaleNoise taskSaliencePsychosisSevere endVulnerabilitySymptomsTaskAssociationYoung adults, particularly young women, account for an increasingly large share of Dutch mental healthcare expenditure over the period between 2015 and 2021
Dijkstra L, Gülöksüz S, Batalla A, van Os J. Young adults, particularly young women, account for an increasingly large share of Dutch mental healthcare expenditure over the period between 2015 and 2021. Epidemiology And Psychiatric Sciences 2024, 33: e48. PMID: 39390846, PMCID: PMC11561524, DOI: 10.1017/s2045796024000404.Peer-Reviewed Original ResearchConceptsMental healthcare expenditureMental healthcare costsHealthcare expendituresGeneral practitionersMental distressHealthcare costsPublic mental health approachYounger ageYoung adultsMental healthcare utilisationMental health approachPostal code levelYoung womenHealthcare utilisationOlder adultsSpecialist costsHealth approachMedical specialistsHealth insuranceMedical systemAge groupsTime pointsAdultsYoung peopleLinear regressionThe European psychiatric association (EPA) – early career psychiatrists committee survey on trainees’ and early-career psychiatrists’ attitudes towards therapeutic drug monitoring (TDM) use and utility during antipsychotic treatment
Schoretsanitis G, Correll C, Agorastos A, Sanchez A, Erzin G, Grigoras R, Benussi M, Gondek T, Guloksuz S, Højlund M, Jerotic S, Kilic O, Metaj E, Sidhu D, Skandali N, Skuhareuski A, Tveito M, Wolthusen R, Communication and Publications E, Chumakov E, de Filippis R. The European psychiatric association (EPA) – early career psychiatrists committee survey on trainees’ and early-career psychiatrists’ attitudes towards therapeutic drug monitoring (TDM) use and utility during antipsychotic treatment. The World Journal Of Biological Psychiatry 2024, 25: 342-351. PMID: 38905131, DOI: 10.1080/15622975.2024.2367138.Peer-Reviewed Original ResearchConceptsEuropean Psychiatric AssociationAntipsychotic treatmentPsychiatrists' attitudesTherapeutic drug monitoringEarly-career psychiatristsExploratory factor analysisBenefit of therapeutic drug monitoringPsychiatric AssociationAntipsychoticsNegative expectationsAssociated with frequencyTDM useDrug monitoringTherapeutic drug monitoring useFactor analysisBeliefs of patientsHigh-income countriesLow-/middle-income countriesResponse varianceClinical benefitClozapineOutpatient settingLinear regression analysisClinical settingPsychiatrists
2023
Associations Between Childhood Area-Level Social Fragmentation, Maladaptation to School, and Social Functioning Among Healthy Youth and Those at Clinical High Risk for Psychosis
Ku B, Addington J, Bearden C, Cadenhead K, Cannon T, Compton M, Cornblatt B, Druss B, Gülöksüz S, Mathalon D, Perkins D, Tsuang M, Walker E, Woods S, Carrión R. Associations Between Childhood Area-Level Social Fragmentation, Maladaptation to School, and Social Functioning Among Healthy Youth and Those at Clinical High Risk for Psychosis. Schizophrenia Bulletin 2023, 49: 1437-1446. PMID: 37358832, PMCID: PMC10686327, DOI: 10.1093/schbul/sbad093.Peer-Reviewed Original ResearchConceptsClinical high riskHealthy comparisonsSocial functioningHigh riskPoor social functioningNorth American Prodrome Longitudinal StudyImportant risk factorRisk factorsPsychotic disordersEffective interventionsHealthy youthChildhoodLongitudinal studyAdulthoodPsychosisAssociationAdultsMaladaptationRiskSocial deficitsFurther researchFunctioningCommunity levelExamining the association between exposome score for schizophrenia and cognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study
Fusar-Poli L, Prachason T, Erzin G, Pries L, Brondino N, Politi P, 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, Andric-Petrovic S, Mirjanic T, Bernardo M, Mezquida G, Amoretti S, Bobes J, Saiz P, García-Portilla M, Sanjuan J, Escarti M, Santos J, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric N, Atbaşoğlu C, Üçok A, Alptekin K, Saka M, Arango C, O'Donovan M, van Os J, Rutten B, Guloksuz S, investigators G. Examining the association between exposome score for schizophrenia and cognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study. Psychiatry Research 2023, 323: 115184. PMID: 37015164, DOI: 10.1016/j.psychres.2023.115184.Peer-Reviewed Original ResearchConceptsBenton Facial Recognition TestDegraded Facial Affect Recognition TaskWechsler Adult Intelligence Scale-Third EditionSchizophrenia spectrum disordersSocial cognitionCognitive domainsFacial affect recognition taskAffect recognition taskFacial Recognition TestCognitive impairmentRecognition testSpectrum disorderRecognition taskCross-sectional sampleHealthy controlsCognitionPsychosis spectrumShort versionUnaffected siblingsNeurocognitionEUGEI studySchizophreniaPerceptionImpairmentSiblingsAssociations Between Polygenic Risk Score Loading, Psychosis Liability, and Clozapine Use Among Individuals With Schizophrenia
Lin B, Pinzón-Espinosa J, Blouzard E, van der Horst M, Okhuijsen-Pfeifer C, van Eijk K, Guloksuz S, Peyrot W, Luykx J, Hasan A, Wagner E, Pantelis C, Everall I, Ayhan Y, Babaoğlu M, Bak M, Alink W, Beld E, Bouhuis A, Edlinger M, Erdoğan I, Gutwinski S, Hallikainen T, Jeger-land E, Lähteenvuo M, de Koning M, Morgenroth C, Müderrisoğlu A, Oviedo-Salcedo T, Schreiter S, Repo-Tiihonen E, Tuppurainen H, Veereschild M, Veerman S, de Vos M, Cohen D, Bogers J, Anıl Yağcıoğlu A, Tiihonen J, Ripke S, Bousman C, Van Beek H, Okhuijsen-Pfeifer C, van der Horst M, van Eijk K, Ertuğrul A, Yoca G, Görlitz T, Grootens K, Leucht S, Narang A, Schneider-Thoma J, Kahn R, Bekema E, Kleymann P, Luykx J, Alizadeh B, van Amelsvoort T, Cahn W, de Haan L, Schirmbeck F, Simons C, van Os J, Rutten B, van Winkel R. Associations Between Polygenic Risk Score Loading, Psychosis Liability, and Clozapine Use Among Individuals With Schizophrenia. JAMA Psychiatry 2023, 80: 181-185. PMID: 36542388, PMCID: PMC9857760, DOI: 10.1001/jamapsychiatry.2022.4234.Peer-Reviewed Original ResearchConceptsSchizophrenia spectrum disordersRisk ratioPolygenic risk scoresUnrelated healthy controlsRisk scorePRS-SCZClozapine useHealthy controlsOdds ratioCourse of illnessHigher likelihoodPsychosis liabilityClozapine prescribingClozapine prescriptionPharmacotherapy choicesClozapine treatmentObservational cohortMedication useAntipsychotic useAntipsychotic treatmentMAIN OUTCOMEMultinomial logistic regressionPrognostic studiesAntipsychoticsEarly intervention
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 scoreHealthAssociationBe(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 ResearchConceptsParental 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
Examining facial emotion recognition as an intermediate phenotype for psychosis: Findings from the EUGEI study
Fusar-Poli L, Pries LK, van Os J, Erzin G, Delespaul P, Kenis G, Luykx JJ, Lin BD, Richards AL, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran EŞ, Kaymak SU, Mihaljevic MM, Andric-Petrovic S, Mirjanic T, Bernardo M, Mezquida G, Amoretti S, Bobes J, Saiz PA, García-Portilla MP, Sanjuan J, Aguilar EJ, Santos JL, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric NP, Atbaşoğlu C, Üçok A, Alptekin K, Saka MC, investigators G, Aguglia E, Arango C, O'Donovan M, Rutten B, Guloksuz S. Examining facial emotion recognition as an intermediate phenotype for psychosis: Findings from the EUGEI study. Progress In Neuro-Psychopharmacology And Biological Psychiatry 2021, 113: 110440. PMID: 34536513, DOI: 10.1016/j.pnpbp.2021.110440.Peer-Reviewed Original ResearchConceptsDegraded Facial Affect Recognition TaskFacial emotion recognitionEmotion recognitionFacial affect recognition taskAffect recognition taskSocial cognition impairmentsFER deficitsIndividual emotionsPRS-SCZFER accuracyRecognition taskHealthy controlsSchizotypy-RevisedCognition impairmentIntermediate phenotypesPsychosis riskStructured interviewsEUGEI studySchizophreniaTotal scoreSiblingsGenetic riskDifferent patternsPsychosisEmotionsLongitudinal associations between alcohol use, smoking, genetic risk scoring and symptoms of depression in the general population: a prospective 6-year cohort study
de Boer N, Vermeulen J, Lin B, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Rutten B, Batalla A, Guloksuz S, Luykx J. Longitudinal associations between alcohol use, smoking, genetic risk scoring and symptoms of depression in the general population: a prospective 6-year cohort study. Psychological Medicine 2021, 53: 1409-1417. PMID: 35023464, PMCID: PMC10009403, DOI: 10.1017/s0033291721002968.Peer-Reviewed Original ResearchConceptsNumber of cigarettesDepressive symptomsAlcohol useLongitudinal associationsGeneral populationSmoking behaviorAlcohol consumptionGenetic risk scoringSymptoms of depressionGenetic risk score analysisGenetic risk scoreAlcohol cessationCohort studySmoking statusGlobal burdenMood disordersRisk scoreSmokingModerate drinkingRisk score analysisLess symptomsLinear mixed effects modelsSymptomsScore analysisRisk scoringSchizophrenia 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
Association of Recent Stressful Life Events With Mental and Physical Health in the Context of Genomic and Exposomic Liability for Schizophrenia
Pries L, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Lin B, van Eijk K, Kenis G, Richards A, O’Donovan M, Luykx J, Rutten B, Guloksuz S. Association of Recent Stressful Life Events With Mental and Physical Health in the Context of Genomic and Exposomic Liability for Schizophrenia. JAMA Psychiatry 2020, 77: 1296-1304. PMID: 32805017, PMCID: PMC7711318, DOI: 10.1001/jamapsychiatry.2020.2304.Peer-Reviewed Original ResearchConceptsRecent stressful life eventsStressful life eventsAssociations of SLEsPoor physical healthMental health outcomesHealth outcomesPhysical healthGeneral populationPopulation-based prospective cohort studyPRS-SCZNetherlands Mental Health SurveyES-SCZMental healthProspective cohort studyIncidence Study-2Modifiable environmental factorsAdulthood stressful life eventsMental Health SurveyDutch general populationPoor mental healthPopulation-based health outcomesLife eventsCohort studyMean ageHealth SurveyPredictive 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 curveScoresExamining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum
Pries L, Dal Ferro G, van Os J, Delespaul P, Kenis G, Lin B, Luykx J, 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, Mezquida G, Amoretti S, 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, Rutten B, Luykx J, van Os J, van Winkel R, Arango C, O'Donovan M, Tosato S, Rutten B, Guloksuz S. Examining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum. Epidemiology And Psychiatric Sciences 2020, 29: e182. PMID: 33200977, PMCID: PMC7681168, DOI: 10.1017/s2045796020000943.Peer-Reviewed Original ResearchDo 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 variationPainMeta-analysis of auditory P50 sensory gating in schizophrenia and bipolar disorder
Atagun M, Drukker M, Hall M, Altun I, Tatli S, Guloksuz S, van Os J, van Amelsvoort T. Meta-analysis of auditory P50 sensory gating in schizophrenia and bipolar disorder. Psychiatry Research Neuroimaging 2020, 300: 111078. PMID: 32361172, DOI: 10.1016/j.pscychresns.2020.111078.Peer-Reviewed Original ResearchConceptsP50 sensory gatingFirst-degree relativesBipolar disorderSensory gatingP50 sensory gating deficitsDual-click paradigmFirst-episode psychosisSensory gating functionSensory gating deficitsS1-S2 differenceEffect of diagnosisAuditory P50 sensory gatingSensory gating ratiosGating deficitsInclusion criteriaTreatment statusLongitudinal courseIllness statePoor real-world functioningLiterature searchSchizophreniaDisordersRedundant sensory inputsTrend levelNeurophysiological measuresReduced regulatory T cells with increased proinflammatory response in patients with schizophrenia
Sahbaz C, Zibandey N, Kurtulmus A, Duran Y, Gokalp M, Kırpınar I, Sahin F, Guloksuz S, Akkoc T. Reduced regulatory T cells with increased proinflammatory response in patients with schizophrenia. Psychopharmacology 2020, 237: 1861-1871. PMID: 32221694, DOI: 10.1007/s00213-020-05504-0.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsRegulatory T cellsHealthy controlsT cellsIL-17AIL-6Smoking status-matched healthy controlsCulture supernatant levelsT cell percentageTh1/Th2Levels of Foxp3Blood mononuclear cellsBody mass indexImmune imbalanceTreg percentageMass indexProinflammatory cytokinesMethodsForty patientsMononuclear cellsPlasma levelsProinflammatory responseSupernatant levelsCell percentageResultsIn comparisonArray kitThe jumping to conclusions reasoning bias as a cognitive factor contributing to psychosis progression and persistence: findings from NEMESIS-2
Rauschenberg C, Reininghaus U, Have M, de Graaf R, van Dorsselaer S, Simons C, Gunther N, Henquet C, Pries L, Guloksuz S, Bak M, van Os J. The jumping to conclusions reasoning bias as a cognitive factor contributing to psychosis progression and persistence: findings from NEMESIS-2. Psychological Medicine 2020, 51: 1696-1703. PMID: 32174291, PMCID: PMC8327623, DOI: 10.1017/s0033291720000446.Peer-Reviewed Original ResearchA 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 Research
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 interactionsMemoryFunctioning