2024
Association between Personal Abiotic Airborne Exposures and Body Composition Changes among Healthy Adults (60–69 Years Old): A Combined Exposome-Wide and Lipidome Mediation Approach from the China BAPE Study
Sun P, Guo X, Ding E, Li C, Ren H, Xu Y, Qian J, Deng F, Shi W, Dong H, Lin E, Guo P, Fang J, Zhang Q, Zhao W, Tong S, Lu X, Pollitt K, Shi X, Tang S. Association between Personal Abiotic Airborne Exposures and Body Composition Changes among Healthy Adults (60–69 Years Old): A Combined Exposome-Wide and Lipidome Mediation Approach from the China BAPE Study. Environmental Health Perspectives 2024, 132: 077005. PMID: 39028628, PMCID: PMC11259245, DOI: 10.1289/ehp13865.Peer-Reviewed Original ResearchConceptsFat mass indicatorsHealthy older adultsBayesian kernel machine regressionVisceral fat areaOlder adultsPercent body fatBody compositionBody fat massExposome-wide association studyPrevention of chronic diseasesAir pollution exposureBody composition indicatorsMediation analysisInBody 770 deviceHealthy adultsAssociated with increased body fat massBody composition changesKernel machine regressionBayesian kernel machine regression modelsChronic diseasesPollution exposureBody fatAssociation studiesAdverse health effectsFat area
2022
Personal airborne chemical exposure and epigenetic ageing biomarkers in healthy Chinese elderly individuals: Evidence from mixture approaches
Shi W, Gao X, Cao Y, Chen Y, Cui Q, Deng F, Yang B, Lin E, Fang J, Li T, Tang S, Godri Pollitt K, Shi X. Personal airborne chemical exposure and epigenetic ageing biomarkers in healthy Chinese elderly individuals: Evidence from mixture approaches. Environment International 2022, 170: 107614. PMID: 36375280, DOI: 10.1016/j.envint.2022.107614.Peer-Reviewed Original ResearchConceptsEpigenetic ageing biomarkersPolycyclic aromatic hydrocarbonsOrganic chemical contaminantsVolatile organic compoundsElderly individualsChemical exposureAge-related adverse effectsBayesian kernel machine regression (BKMR) modelsOrganic compoundsAging biomarkersChinese elderly individualsOrganic chemicalsHealthy elderly peopleLinear mixed-effects regression modelsHealthy elderly individualsAirborne chemical exposuresQuantile sum (WQS) regressionPassive samplersNitroaromaticsMixed effects regression modelsEpigenetic biomarkersChemical contaminantsPersonal chemical exposureChlorinated hydrocarbonsChemical mixtures
2021
The exposome in practice: an exploratory panel study of biomarkers of air pollutant exposure in Chinese people aged 60–69 years (China BAPE Study)
Tang S, Li T, Fang J, Chen R, Cha Y, Wang Y, Zhu M, Zhang Y, Chen Y, Du Y, Yu T, Thompson DC, Godri Pollitt KJ, Vasiliou V, Ji JS, Kan H, Zhang JJ, Shi X. The exposome in practice: an exploratory panel study of biomarkers of air pollutant exposure in Chinese people aged 60–69 years (China BAPE Study). Environment International 2021, 157: 106866. PMID: 34525388, DOI: 10.1016/j.envint.2021.106866.Peer-Reviewed Original ResearchMeSH KeywordsAgedAir PollutantsBiomarkersChinaEnvironmental ExposureExposomeHumansProspective StudiesConceptsAir pollutant exposurePotential adverse clinical outcomesPollutant exposureExploratory panel studyAdverse clinical outcomesHealthy elderly subjectsAdverse health outcomesAirborne pollutant exposureAir pollution exposureAdverse health effectsClinical outcomesModifiable factorsElderly subjectsHealthy residentsNovel biomarkersEndogenous exposureExogenous exposureHealth outcomesPotential biomarkersAirborne exposurePollution exposureSuboptimal assessmentAdverse health impactsAssociated biomarkersComprehensive biomarker
2018
Metals and oxidative potential in urban particulate matter influence systemic inflammatory and neural biomarkers: A controlled exposure study
Liu L, Urch B, Szyszkowicz M, Evans G, Speck M, Van Huang A, Leingartner K, Shutt RH, Pelletier G, Gold DR, Brook JR, Godri Pollitt K, Silverman FS. Metals and oxidative potential in urban particulate matter influence systemic inflammatory and neural biomarkers: A controlled exposure study. Environment International 2018, 121: 1331-1340. PMID: 30420132, PMCID: PMC6396878, DOI: 10.1016/j.envint.2018.10.055.Peer-Reviewed Original ResearchConceptsUbiquitin C-terminal hydrolase L1Vascular endothelium growth factorBiomarker levelsPost exposureSystemic inflammationOxidative stressNeural biomarkersS100 calcium-binding protein BCalcium-binding protein BNeural functionHealthy non-smoking volunteersConcentrated ambient PMAssessment of biomarkersNon-smoking volunteersStress marker cortisolAmbient PMUrinary malondialdehydeUrinary biomarkersUrinary cortisolInterleukin-6Mixed regression modelsVanillylmandelic acidInflammationMean concentrationGrowth factor