2025
Characterizing the Social Epigenome in Mexican Patients with Early-Onset Psychosis
Ruiz-Ramos D, Martínez-Magaña J, Juárez-Rojop I, Nolasco-Rosales G, Sosa-Hernández F, Cruz-Castillo J, Cavazos J, Callejas A, Zavaleta-Ramírez P, Zorrilla-Dosal J, Lanzagorta N, Nicolini H, Montalvo-Ortiz J, Glahn D, Genis-Mendoza A. Characterizing the Social Epigenome in Mexican Patients with Early-Onset Psychosis. Genes 2025, 16: 591. PMID: 40428414, PMCID: PMC12111507, DOI: 10.3390/genes16050591.Peer-Reviewed Original ResearchConceptsEarly-onset psychosisRisk scoreEpigenetic ageEpigenome-wide association studiesAssociation studiesYears of educationShort life expectancyMexican patientsPsychiatric admissionsAssociation of DNA methylationSocial epigenomicsYears of schoolingAccelerated Epigenetic AgingLife expectancyAssociated with panic disorderEnvironmental exposuresEarly-onsetGlobal functioningClinical characteristicsClinical manifestationsDNA methylationAgeEpigenetic mechanismsPsychosisManifestation of psychosisIntegrating exposomics into biomedicine
Miller G, Bennett L, Balshaw D, Barouki R, Bhutani G, Dolinoy D, Gao P, Jett D, Karagas M, Klánová J, Lein P, Li S, Metz T, Patel C, Pollitt K, Rajasekar A, Sillé F, Thessen A, Thuault-Restituito S, Vermeulen R, Ward-Caviness C, Wright R. Integrating exposomics into biomedicine. Science 2025, 388: 356-358. PMID: 40273259, DOI: 10.1126/science.adr0544.Peer-Reviewed Original ResearchEnvironmental Protective and Risk Factors for Gastric Cancer: An Umbrella Review and Reanalysis of Meta-Analyses
Kim S, Kim M, Kwon Y, Min J, Alromi A, Kim J, Kim J, Shin J, Yon D, Chu Y, Park S. Environmental Protective and Risk Factors for Gastric Cancer: An Umbrella Review and Reanalysis of Meta-Analyses. Journal Of Gastric Cancer 2025, 25: 285-302. PMID: 40200873, PMCID: PMC11982512, DOI: 10.5230/jgc.2025.25.e16.Peer-Reviewed Original ResearchConceptsIncreased risk of GCRisk of GCGC riskSystematic reviewMeta-analysesIncreased riskGrading of RecommendationsHeavy alcohol consumptionUmbrella reviewGraded associationGastric cancerHabitual salt intakeDietary habitsAlcohol consumptionEffect estimatesCochrane DatabaseGC preventionGrain consumptionPositive associationReduced riskEnvironmental exposuresRisk factorsHuman T-lymphotropic virus type 1Salt intakeDietary intervention
2024
The Exposome Paradigm: Applications in Psychopathology and Psychopharmacology
Fusar-Poli L, Guloksuz S. The Exposome Paradigm: Applications in Psychopathology and Psychopharmacology. 2024, 337-349. DOI: 10.1007/978-3-031-61992-2_20.Peer-Reviewed Original ResearchES-SCZNonclinical populationsMental disordersResponse to psychopharmacologic treatmentCourse of mental disordersSchizophrenia spectrum disordersPsychopharmacological treatmentClinical psychiatrySpectrum disorderGlobal functioningDevelopmental trajectoriesExposome scoreGeneral populationSchizophreniaEnvironmental risk factorsPsychopathologyPsychopharmacologyDisordersExposome paradigmPsychiatryPhysical outcomesParadigmEnvironmental exposuresPotential utilityClinical characterizationEnhancing patient representation learning with inferred family pedigrees improves disease risk prediction
Huang X, Arora J, Erzurumluoglu A, Stanhope S, Lam D, Arora J, Erzurumluoglu A, Lam D, Khoueiry P, Jensen J, Cai J, Lawless N, Kriegl J, Ding Z, de Jong J, Zhao H, Ding Z, Wang Z, de Jong J. Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. Journal Of The American Medical Informatics Association 2024, 32: 435-446. PMID: 39723811, PMCID: PMC11833479, DOI: 10.1093/jamia/ocae297.Peer-Reviewed Original ResearchConceptsElectronic health recordsDisease risk predictionElectronic health record researchFamily health historyGenetic aspects of diseaseRisk predictionInflammatory bowel disease subtypeHealth recordsHealth historyAspects of diseaseFamily relationsHealthcare ResearchPatient's disease riskInfluence of geneticsDisease riskDiagnosis dataFamily pedigreeEnvironmental exposuresRisk factorsDisease dependencyPatient representation learningClinical profileFamilyDisease subtypesRiskThe need for a cancer exposome atlas: a scoping review
Young A, Mullins C, Sehgal N, Vermeulen R, Kolijn P, Vlaanderen J, Rahman M, Birmann B, Barupal D, Lan Q, Rothman N, Walker D. The need for a cancer exposome atlas: a scoping review. JNCI Cancer Spectrum 2024, 9: pkae122. PMID: 39700422, PMCID: PMC11729703, DOI: 10.1093/jncics/pkae122.Peer-Reviewed Original ResearchConceptsCancer riskGenetic susceptibility to cancerStudy design limitationsSusceptibility to cancerCancer heritabilitySocial determinantsCancer epidemiologyExposome approachProspective associationsExternal risk factorsCancer casesPrimary preventionUnmet opportunitiesCancer researchChemical exposure profilesEnvironmental exposuresRisk factorsExposomeEvaluate progressCancer typesCancerRiskExposure profilesEnvironmental influencesLifestyleThe Influence of DNA Repair Genes and Prenatal Tobacco Exposure on Risk of Childhood Acute Lymphoblastic Leukemia: A Gene-Environment Interaction Study.
Wang X, Zhong C, Ma X, Metayer C, Mancuso N, Gauderman W, Wiemels J. The Influence of DNA Repair Genes and Prenatal Tobacco Exposure on Risk of Childhood Acute Lymphoblastic Leukemia: A Gene-Environment Interaction Study. Cancer Epidemiology Biomarkers & Prevention 2024, 34: 100-107. PMID: 39495115, PMCID: PMC11981794, DOI: 10.1158/1055-9965.epi-24-1037.Peer-Reviewed Original ResearchPrenatal tobacco exposureTobacco exposureGene-environment interaction studiesNon-Latino white childrenAcute lymphoblastic leukemia riskChildhood ALL riskRepair genesGene-environment interactionsAcute lymphoblastic leukemiaStatistically significant interactionPotential risk factorsDNA repair genesTobacco smokeLatino childrenPediatric oncologyALL riskTargeted preventionWhite childrenLogistic regressionEpidemiological studiesEnvironmental exposuresRisk factorsTobaccoGenotype dataSignificant interactionDelineating Urbanicity and Rurality: Impact on Environmental Exposure Assessment
Song Y, Deziel N, Bell M. Delineating Urbanicity and Rurality: Impact on Environmental Exposure Assessment. Environmental Science And Technology 2024, 58: 19178-19188. PMID: 39412270, PMCID: PMC11627196, DOI: 10.1021/acs.est.4c06942.Peer-Reviewed Original ResearchConceptsEnvironmental exposuresEnvironmental exposure assessmentExposure of particulate matterUrban/rural disparitiesDemographic compositionHealth StudyHealth researchPopulation-basedClassification systemExposure assessmentSpatial patternsHealth impactsRural areasHealthRuralParticulate matterLand surface temperatureWest VirginiaUnited StatesSurface temperatureUrbanizationResearch questionsAssessmentDisparitiesExposureEnvironmental Toxicology and Metabolism
Sun Y. Environmental Toxicology and Metabolism. Metabolites 2024, 14: 530. PMID: 39452911, PMCID: PMC11509638, DOI: 10.3390/metabo14100530.Peer-Reviewed Original ResearchAlterations in the Skin Microbiome in Dermatologic Diseases and with External Exposures: CME Part 2
MacGibeny M, Adjei S, Pyle H, Bunick C, Ghannoum M, Grada A, Harris-Tryon T, Tyring S, Kong H. Alterations in the Skin Microbiome in Dermatologic Diseases and with External Exposures: CME Part 2. Journal Of The American Academy Of Dermatology 2024 PMID: 39173885, PMCID: PMC11839956, DOI: 10.1016/j.jaad.2024.07.1499.Peer-Reviewed Original ResearchEnvironmental exposures and residential mobility among Hispanic and non-Hispanic White families in California
Pardeshi A, Kang A, Morimoto L, Ma X, De Smith A, Metayer C, Wiemels J, Zhong C. Environmental exposures and residential mobility among Hispanic and non-Hispanic White families in California. ISEE Conference Abstracts 2024, 2024 DOI: 10.1289/isee.2024.0554.Peer-Reviewed Original ResearchEnvironmental exposures in human milk and infant physiology in Namqom, Formosa, Argentina and New Haven, Connecticut, USA
Chaney C, Mansilla L, Kubica M, Pinto Pacheco B, Dunn K, Bertacchi V, Walker D, Valeggia C. Environmental exposures in human milk and infant physiology in Namqom, Formosa, Argentina and New Haven, Connecticut, USA. ISEE Conference Abstracts 2024, 2024 DOI: 10.1289/isee.2024.0656.Peer-Reviewed Original ResearchEnvironmental exposuresNew HavenSimulating desegregation through affordable housing development: An environmental health impact assessment of Connecticut zoning law
Prasanth S, Oloyede N, Zhang X, Chen K, Carrión D. Simulating desegregation through affordable housing development: An environmental health impact assessment of Connecticut zoning law. Health & Place 2024, 88: 103277. PMID: 38781859, PMCID: PMC11190844, DOI: 10.1016/j.healthplace.2024.103277.Peer-Reviewed Original ResearchNon-Hispanic white residentsEnvironmental health equityAmbient environmental exposuresHealth impact assessmentExposure-response functionsEnvironmental health impact assessmentHealth equityHealth inequalitiesNon-HispanicRate of deathExcess deathsWhite residentsEstimated deathsMortality impactLow-income residentsDesegregation policiesEnvironmental exposuresResidential segregationHousing targetsResidentsHousing developmentDeathSimulated movementHealthImpact assessment383. Symptom Severity for Psychosis Biotype 3 Shows Unique Associations With Environmental Exposures as Measured By the Exposome Score for Schizophrenia
Kromenacker B, Yassin W, Clementz B, Keshavan M, Ivleva E, Gershon E, McDowell J, Keedy S, Pearlson G, Hill S, Tamminga C. 383. Symptom Severity for Psychosis Biotype 3 Shows Unique Associations With Environmental Exposures as Measured By the Exposome Score for Schizophrenia. Biological Psychiatry 2024, 95: s256-s257. DOI: 10.1016/j.biopsych.2024.02.882.Peer-Reviewed Original ResearchAssociations Between Rhinitis and Lower Respiratory Tract Symptoms Following Deployment-related Occupational and Environmental Exposures Among US Veterans
Maccarone J, Blanc P, Timmons A, Korpak A, Smith N, Nakayama K, Baird C, Ciminera P, Kheradmand F, Fan V, Hart J, Koutrakis P, Kuschner W, Ioachimescu O, Montgrain P, Proctor S, Redlich C, Wendt C, Wan E, Wongtrakool C, Garshick E. Associations Between Rhinitis and Lower Respiratory Tract Symptoms Following Deployment-related Occupational and Environmental Exposures Among US Veterans. 2024, a3099-a3099. DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a3099.Peer-Reviewed Original ResearchUS veteransEnvironmental exposuresSex-specific associations of environmental exposures with prevalent diabetes and obesity – Results from the KORA Fit study
Niedermayer F, Wolf K, Zhang S, Dallavalle M, Nikolaou N, Schwettmann L, Selsam P, Hoffmann B, Schneider A, Peters A. Sex-specific associations of environmental exposures with prevalent diabetes and obesity – Results from the KORA Fit study. Environmental Research 2024, 252: 118965. PMID: 38642640, DOI: 10.1016/j.envres.2024.118965.Peer-Reviewed Original ResearchConceptsAssociations of environmental exposuresAssociated with higher body-mass indexBody-mass indexHigh body-mass indexSex-specific associationsPrevalent diabetesEnvironmental exposuresAssociated with lower obesity prevalenceUrban menRural womenAssociated with diabetes prevalenceEvaluated sex-specific associationsLower obesity prevalenceAir pollutionAnalyzed cross-sectional dataGerman population-based cohortPopulation-based cohortSusceptibility to air pollutionSex-stratified analysesLack of greennessEffects of environmental exposuresFitness studiesSusceptibility to environmental exposuresSurrounding greennessCross-sectional dataGeospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era
VoPham T, White A, Jones R. Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 451-460. PMID: 38566558, PMCID: PMC10996842, DOI: 10.1158/1055-9965.epi-23-1237.Peer-Reviewed Original ResearchConceptsEnvironmental epidemiologyExternal exposomeCancer epidemiology researchCancer screening policyEpidemiology of cancerEpidemiological studiesCancer epidemiology studiesClinical decision makingPatient addressesExposome dataEpidemiological researchScreening policyLife courseEnvironmental exposuresEnvironmental exposure assessmentOptimal practiceExposomeGeographic information systemExposure assessmentEnvironmental diseaseGeospatial scienceDecision makingGeospatial dataGeospatial methodologyCancerConstruction of residential histories to estimate long-term environmental exposures in the California Teachers Study cohort
Medgyesi D, Spielfogel E, Ward M, Jones R, Savage K, Benbow J, Lacey J, Sanchez T. Construction of residential histories to estimate long-term environmental exposures in the California Teachers Study cohort. Journal Of Exposure Science & Environmental Epidemiology 2024, 34: 1028-1034. PMID: 38448681, PMCID: PMC11377857, DOI: 10.1038/s41370-023-00631-0.Peer-Reviewed Original ResearchEnvironmental epidemiology studiesResidential historyEpidemiological studiesCalifornia Teachers Study participantsLow socioeconomic status areasCalifornia Teachers Study cohortSocioeconomic status areasCalifornia Teachers StudyCalifornia Cancer RegistryChronic health outcomesLong-term environmental exposureEnvironmental exposuresFollow-up questionnaireSelf-reported informationFollow-upYears of follow-upYears post-enrollmentYoung womenEnrollment addressCancer RegistryHealth outcomesParticipating residentsHispanic/Latino womenEvaluating long-term exposurePost-enrollmentAccuracy of self-reported distance to nearest unconventional oil and gas well in Pennsylvania, Ohio, and West Virginia residents and implications for exposure assessment
Clark C, Casey J, Bell M, Plata D, Saiers J, Deziel N. Accuracy of self-reported distance to nearest unconventional oil and gas well in Pennsylvania, Ohio, and West Virginia residents and implications for exposure assessment. Journal Of Exposure Science & Environmental Epidemiology 2024, 34: 512-517. PMID: 38448680, DOI: 10.1038/s41370-023-00637-8.Peer-Reviewed Original ResearchSelf-reported distanceWest Virginia residentsAssociated with adverse health outcomesVirginia residentsAdverse health outcomesExposure to environmental hazardsCohen's weighted kappaYears of educationSelf-reported dataHealth outcomesWest VirginiansSelf-report measuresIndicators of awarenessWeighted KappaSelf-ReportDemographic characteristicsEducational attainmentAdverse health effectsSelf-reported metricsEnvironmental exposuresDistance categoriesHealth effectsResidentsExposure assessmentRiskA unified framework for assessing interaction effects among environmental exposures in epidemiologic studies: A case study on temperature, air pollution, and kidney-related conditions in New York state
Chu L, Chen K, Yang Z, Crowley S, Dubrow R. A unified framework for assessing interaction effects among environmental exposures in epidemiologic studies: A case study on temperature, air pollution, and kidney-related conditions in New York state. Environmental Research 2024, 248: 118324. PMID: 38301759, DOI: 10.1016/j.envres.2024.118324.Peer-Reviewed Original ResearchAir pollutionMultiplicative interaction effectsNew York StateEstimated health burdenCase-crossover designEvaluation of effect modificationBi-variate associationsAssess interaction effectsConditional logistic modelMeasures of exposureInteraction effectsEffect modificationPollutionExposure variablesHealth burdenEpidemiological studiesEnvironmental exposuresLog-linear modelLogistic modelInteraction termsQuantitative frameworkAirCase studyExposureAlert system
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