Xiaoming Shi
Professor AdjunctCards
About
Research
Publications
2026
Exposure Profiles and Screening-Level Risk Assessment of PCP-Related Chemicals in China: A Focus on Parabens
Hao W, Shi W, Lin X, Sun P, Li Z, Zhang W, Yu M, Yu L, Qu Y, Ji S, Yan S, Yang D, Zhao F, Li Y, Song H, Cai J, Wang L, Zhu Y, Lv Y, Shi X. Exposure Profiles and Screening-Level Risk Assessment of PCP-Related Chemicals in China: A Focus on Parabens. Environmental Science And Technology 2026 PMID: 42307431, DOI: 10.1021/acs.est.5c18865.Peer-Reviewed Original ResearchPersonal care productsScreening-level risk assessmentHazard index valuesExposure to multiple classesExposure patternsPopulation-level exposureHighest exposure levelEnvironmental contaminationCare productsUrinary concentrationsHuman biomonitoringEthyl parabenExposure assessmentRice intakeExposure profilesRisk assessmentExposure levelsMethyl parabenQuantification ratesParabensPropyl parabenHigher fruit consumptionIndex valuesChemicalBiomonitoringClimate change and infectious diseases: translating evidence into action
Shi X, Li T, Wang Y, Liu Q, Wang J, Ban J, Kinney P, Tong S. Climate change and infectious diseases: translating evidence into action. Infectious Diseases Of Poverty 2026, 15: 66. PMID: 42271449, PMCID: PMC13251223, DOI: 10.1186/s40249-026-01468-z.Peer-Reviewed Original ResearchConceptsHealth systemClimate changeInfectious disease burdenDisease burdenEvidence-based strategiesPublic health systemIssue 'Climate changeImpacts of climate changeGlobal climate changeTransmission of infectious diseasesAdaptation actionsClinical practitionersClimate-sensitive infectious diseasesClimate-resilientComprehensive control measuresImplementation gapInfectious diseasesClimateBurdenControl measuresHealthDiseaseEvidenceLandscapeGlobal governanceSocioeconomic Disparities in PFAS Exposure and Susceptibility to Diabetes in Chinese Adults: A Nationwide Cross-Sectional Study
Ji S, Wang J, Qu Y, Li Z, Pan Y, Li Y, Song H, Xie L, Zhang W, Cai J, Zhao F, Zhu Y, Cao Z, Tong S, Lv Y, Dai J, Jia G, Shi X. Socioeconomic Disparities in PFAS Exposure and Susceptibility to Diabetes in Chinese Adults: A Nationwide Cross-Sectional Study. Environment & Health 2026 DOI: 10.1021/envhealth.6c00036.Peer-Reviewed Original ResearchSocioeconomic statusSocioeconomic disparitiesChinese adultsStatistically significant effect modificationLow-SES participantsNationwide cross-sectional studySignificant effect modificationSocioeconomically disadvantaged populationsHigh-SES groupsHigher socioeconomic statusLow socioeconomic statusLow-SES groupsCross-sectional studyPolyfluoroalkyl substances exposuresHealth equityHealth inequalitiesCross-sectional dataSocioeconomic disadvantageEffect modificationDisadvantaged populationsOdds ratioEnvironmental health risksSerum concentrations of PFOASerum PFAS concentrationsEnvironmental exposuresPer- and polyfluoroalkyl substances may be a novel environmental etiology of nonalcoholic fatty liver: a national cross-sectional study
Hu X, Sheng N, Chen Y, Shi W, Ji S, Wu B, Qu Y, Li Z, Yu L, Meng X, Wu C, Zhang Z, Xue Z, Long F, Chu H, Wei L, Yin Z, Tong S, Wang H, Dai J, Wang L, Lv Y, Pan Y, Shi X. Per- and polyfluoroalkyl substances may be a novel environmental etiology of nonalcoholic fatty liver: a national cross-sectional study. Journal Of Environmental Exposure Assessment 2026, 5: n/a-n/a. DOI: 10.20517/jeea.2025.82.Peer-Reviewed Original Researchfatty liver indexassociation with fatty liver indicesenvironmental risk factorsweighted prevalencepolyfluoroalkyl substancesprevalence of nonalcoholic fatty liver diseasenational cross-sectional studyperfluorooctanoic acidenvironmental determinantsadverse effects of PFASrisk factorsweighted multiple linear regressionglobal prevalencecross-sectional studybody mass indexassociations of polyfluoroalkyl substancesPFAS mixturesfatty liver index valuesnonalcoholic fatty liver diseaselogistic regression analysispolyfluoroalkyl substances concentrationswaist circumferenceenvironmental etiologyweighted quantile sum regressionjoint effectsFacilitating Biomonitoring in Vulnerable Populations with Dried Blood Spots: A High-Throughput Kit-Based Approach for Bisphenol Analogues
Lin X, Sun Q, Bao D, Lv Y, Zhao F, Song H, Li Y, Zhu Y, Shi X. Facilitating Biomonitoring in Vulnerable Populations with Dried Blood Spots: A High-Throughput Kit-Based Approach for Bisphenol Analogues. Analytical Chemistry 2026, 98: 16851-16862. PMID: 42240295, DOI: 10.1021/acs.analchem.5c07840.Peer-Reviewed Original ResearchConceptsMethod quantitation limitMethod detection limitsBisphenol analoguesDiphenyl sulfoneStable isotope-labeled internal standardsIsotope-labeled internal standardsBisphenol ABisphenol SUHPLC-MS/MS analysisBisphenol FEndocrine-disrupting effectsDried Blood SpotsExposure to bisphenol FProtein precipitationMatrix effectsUHPLC-MS/MSDetection limitSimultaneous quantificationQuantitation limitInternal standardEnvironmental contaminationBiomonitoring methodsPhospholipid removalBisphenolAnaloguesAnti-asthma drug montelukast induces autistic behaviors via disrupting neuronal retinoic acid signaling
Hao Z, Wu Q, Li Y, Guo Z, Li Z, Wang G, Meng M, Yuan S, Wufuer Y, Zhang M, Chen J, Yang T, Chen M, Zhu J, Qi-Hang W, Li Q, Yu S, Lu M, Xiong H, Feng Y, Dong M, Xu J, Xu J, Chen L, Yang H, Miao J, Zhu H, Yang B, Zhao H, Shi X, Bian S, Li T, Hu R. Anti-asthma drug montelukast induces autistic behaviors via disrupting neuronal retinoic acid signaling. Signal Transduction And Targeted Therapy 2026, 11: 208. PMID: 42230569, PMCID: PMC13230969, DOI: 10.1038/s41392-026-02665-w.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderPre-frontal cortexAll-Trans Retinoic AcidRat pre-frontal cortexCysteinyl leukotriene receptor antagonistRetinoic acidHuman autism spectrum disorderLeukotriene receptor antagonistsExposure to montelukastWild-type ratsHuman embryonic stem cellsRA receptorsAnti-asthma drugsRisk of autism spectrum disorderAutistic-like behaviorsMulti-center surveyMontelukast administrationMontelukast useRA signalingEmbryonic stem cellsReceptor antagonistMontelukastSynaptic plasticityAutism spectrum disorder etiologyRisk factors[Association between sex hormone levels and sarcopenia risk among older adults over 65 years old in longevity areas of China].
Li Z, Chen J, Zhang Z, Zhao Y, Fu X, Chen S, Zhu Z, Yang J, Chen Y, Wang J, Chen C, Shi W, Shi X, Lyv Y. [Association between sex hormone levels and sarcopenia risk among older adults over 65 years old in longevity areas of China]. Chinese Preventive Medicine 2026, 60: 1-7. PMID: 42206488, DOI: 10.3760/cma.j.cn112150-20251217-01192.Peer-Reviewed Original ResearchRisk of sarcopeniaFollicle-stimulating hormone levelsMultivariate logistic regression analysisSex hormone levelsRestricted cubic splinesHormone levelsLogistic regression analysisMethods: DataElevated follicle-stimulating hormone levelsOlder womenTestosterone levelsConclusion:High riskOlder adultsHigher risk of sarcopeniaOlder menAsian Working GroupLow testosterone levelsDose-response relationshipCross-sectional surveyRegression analysisBiomarkers Cohort StudySarcopenia prevalenceHigh testosterone groupLow testosterone groupAssociation of Ambient PM2.5 Components with Lung Function in Adults Aged 40–89 Years: A Cross-sectional Study in China
Zou Y, Li N, Wang Y, Wang J, Chen C, Fang J, Shi X. Association of Ambient PM2.5 Components with Lung Function in Adults Aged 40–89 Years: A Cross-sectional Study in China. Biomedical And Environmental Sciences 2026, 39: 584-590. PMID: 42205023, DOI: 10.3967/bes2026.039.Peer-Reviewed Original ResearchConceptsParticulate matter 2.5Weighted quantile sum regressionBayesian kernel machine regressionEffects of PMKernel machine regressionPM2.5 componentsMonitoring sitesQuantile g-computationAtmospheric monitoring sitesOrganic carbonLinear mixed-effects modelsJoint effectsZnLinear mixed-effectsMachine regressionPMCross-sectional studyG-computationForced Vital CapacityPeak expiratory flowConcentrationStudy periodMulti-center cross-sectional studyMixed-effectsAmmonium ionsUrinary quaternary ammonium compounds among healthy elderly in the China BAPE study: exposure characteristics, determinants, and health risk assessment
Cha Y, Cheng Z, Cao Y, Qian J, Ma X, Guo X, Liu J, Shao K, Situ Y, Li C, Zhao Z, Duan S, Bei X, Chen Y, Wang K, Tong S, Dong Z, Tang S, Shi X. Urinary quaternary ammonium compounds among healthy elderly in the China BAPE study: exposure characteristics, determinants, and health risk assessment. Environment International 2026, 212: 110298. PMID: 42127750, DOI: 10.1016/j.envint.2026.110298.Peer-Reviewed Original ResearchConceptsHazard indexNon-cancer riskHealth risk assessmentMedian total concentrationsRisk assessmentTotal body burdenHypothesis-generating findingsMonths follow-upElderly populationDominant elimination pathwayBody burdenTotal concentrationBiomonitoring dataFactors associated with exposureHealth risksFollow-upUrinary excretionIndependent cohortDietary factorsLiquid chromatography-tandem mass spectrometryDominant contributorTemporal variationUrinary concentrationsElderly panelPublic health concern[Associations of plant based dietary intake and physical activity with depression symptoms in older adults aged 65 years and above in longevity areas in China].
Meng X, Chen C, Chen H, Shi W, Wang J, Zhang Z, Zhou J, Wei Y, Wu B, Li Y, Wu Y, Chen J, Lyu Y, Shi X. [Associations of plant based dietary intake and physical activity with depression symptoms in older adults aged 65 years and above in longevity areas in China]. Chinese Journal Of Epidemiology 2026, 47: 895-901. PMID: 42151069, DOI: 10.3760/cma.j.cn112338-20250905-00631.Peer-Reviewed Original ResearchConceptsPhysical activity levelsPhysical activityOlder adultsDepressive symptomsLogistic regression modelsDietary intakePrevalence of depressive symptomsPatient Health Questionnaire-9Activity levelsPhysical Activity ScaleProbability of depressive symptomsAssociated with depressive symptomsPhysical activity statusAssociated with lower riskRegression modelsResults of logistic regression modelsCross-sectional dataDietary indicesBiomarkers Cohort StudyActivity ScaleMethods:Cohort studyLongevity areasDietary intake levelsDemographic characteristics