Environment International

Maternal smoking during pregnancy is associated with adverse effects on offspring health through impaired placental structure and function. Nicotine and other tobacco-related compounds readily cross the placental barrier, disrupt metabolic pathways, and increase the risk of long-term developmental disorders in newborn. Here, placental metabolic alterations associated with maternal smoking exposure were examined with metabolomics. We used placental samples from the Kuopio Birth Cohort study from ...

Ambient air pollution has been associated with increased incidence of chronic disease and is estimated to contribute towards 4.2 million early deaths annually. Whilst the health impacts are well described, less is understood about the underlying biological mechanisms, particularly when considering the co-occurrence of multiple pollutants. Using an atmospheric chemistry transportation model (EMEP4UK), we generate pre-baseline sampling pollution exposure estimates for eight pollutants in Generatio...

BackgroundEnvironment-wide association studies (ExWAS) offer a systematic approach to identifying chemical biomarker-health outcome associations, yet few have applied rigorous multi-stage validation. MethodsWe screened 92 chemical biomarkers against 48 health outcomes in NHANES 2017-2018 (2,796 tests across four screening rounds; not all chemicals were crossed with all outcomes). Associations passing an initial FDR screen were subjected to cross-cycle validation in NHANES 2015-2016--the primary...

BackgroundEvidence suggests maternal exposure to ambient air pollution increases the risk of stillbirth, but few studies conducted in the United States have evaluated temporally varying exposures or susceptibility across gestational windows. Moreover, the generalizability of existing findings is often limited by restricted geographic coverage or reliance on selected study populations. MethodsUsing Georgia vital records from 2005 to 2014, we conducted a matched case-control study including 8,384...

The co-occurrence of per- and polyfluoroalkyl substances (PFAS) and volatile organic compounds (VOCs) in industrial environments poses complex toxicological risks that standard additive models fail to capture. This study elucidates a novel "metabolic blockade" mechanism wherein PFAS competitively inhibits the renal excretion of VOC metabolites, thereby amplifying neurotoxic burdens. Utilizing a Double Machine Learning (DML) framework on data from National Health and Nutrition Examination Survey ...

ObjectiveTo evaluate whether the well-established age-related reduction in antral follicle counts (AFC) is greater among women with higher concentrations of endocrine-disrupting chemicals. DesignProspective cohort study using the doubly robust (DR) learner, a flexible machine learning method that models the relationship between an exposure and outcome of interest and identifies potential modifiers of this relation. SubjectsSeven hundred seventy-five women aged 21-46 years enrolled in The Envir...

Identification of early interventions to reduce/eliminate asthma - the most common chronic disease among children - could significantly reduce burden on the healthcare system. Large-scale asthma Exposome-Wide Association Studies (ExWAS) could identify potential interventions, however integration of diverse data is required to address association confounders. The CHILD Cohort Study has followed 3,454 healthy Canadian children and their families from early pregnancy, collecting exceptionally diver...

ImportanceGenetic factors only explain [~]50% of an individuals lifetime CAD risk. Workplace pollution exposure likely represents a significant, under-recognized, and modifiable contributor. Clarifying its independent effect - distinct from residential air pollution - could inform targeted prevention, clinical risk assessment, and policy strategies. ObjectiveTo quantify the independent association between workplace pollution exposure and incident CAD, rigorously adjusting for canonical risk fac...

BackgroundAir pollution is a potentially modifiable risk factor for dementia with a population attributable risk fraction of 3%. Little is known about the causal mechanisms behind the association, so we aimed to investigate this. MethodsData from the UK Biobank were used to investigate the association between six measures of air pollution (NO2, NOx, PM2{middle dot}5-10, PM2{middle dot}5, PM2{middle dot}5 absorbance and PM10) and dementia incidence. Indirect pathways through four mediators (card...

Millions of outdoor workers cannot avoid wildfire smoke, likely leading to inequalities in exposure and health risk. We characterized work-related exposure to wildfire PM2.5 for 3,108 contiguous US counties during 2006-2019. Despite experiencing less ambient exposure to wildfire PM2.5, counties with higher portions of non-Hispanic Black and Hispanic Americans experienced higher work-related exposure. We also find suggestive evidence that the effect of ambient smoke fine particulate matter (PM2.5...

BackgroundFatal insulin intoxication remains difficult to diagnose because insulin undergoes rapid degradation after death, limiting the reliability of direct biochemical measurements. This creates diagnostic uncertainty when objective molecular confirmation of insulin excess are required. We hypothesised that insulin excess induces systemic metabolic alterations that persist beyond insulin degradation and can be captured using postmortem metabolomics in a forensic setting. MethodsHigh-resoluti...

We utilized traditional aerosol sampling to collect PM1 samples, and further apply redundancy analysis (RDA) to investigate the association of environmental factors (including PM1 chemical composition, oxidative potential, meteorological factors and gaseous pollutants) and airborne bacterial community. Our findings revealed that Bacteroidota positively correlated with Sn and Mn, Firmicutes with local primary pollutants, and Proteobacteria with transportation-related pollutants. Variance partitio...

Biological ageing begins before birth, with early-life exposures shaping late-life health. These exposures drive health inequities early, yet specific exposures and the composition of the ageing exposome remain largely undefined. This gap may persist as the field lacks agnostic investigations accounting for non-linearity, interactions and subtle signals. We aimed to identify exposures predictive of epigenetic ageing accumulated during childhood and adolescence and explore the composition of the...

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSObjectiveC_ST_ABSExperts in poison control centers must accurately and efficiently assess the severity of an exposure, neither delaying care nor pointlessly sending patients to the hospital, using only the information given during a first phone call. To help healthcare professionals (HP) make these difficult decisions, we developed and evaluated a machine learning-based algorithm that predicts whether a patient should seek medical help or not, based solely on the ...

BackgroundLung cancer compensation systems for occupational exposure to asbestos commonly apply Helsinki criteria, which assume 4% excess lung cancer risk per fibre-year of asbestos exposure. The Probability of Causation (PoC) is [≥]50% at 25 fibre-years (risk doubling threshold). Large case-control studies have suggested steeper exposure-response relations at lower exposures. We aimed to estimate PoC of asbestos-related lung cancer to evaluate exposure thresholds for compensation of lung ca...

BackgroundModern natural language tools have potential to improve clinical workflows, but few have been successfully deployed in practice. Here, we present the development, deployment, and evaluation of an AI language tool for generating preliminary clinical sign-outs in a urine drug testing service. MethodsLarge language models (LLMs) were used to extract substance use patterns from 83,553 urine drug test interpretations. We then trained an AI model using these data to predict substance use fr...

IntroductionGrowing evidence suggests pesticide exposure can affect emotional well-being; limited research exists across adolescence and young adulthood. We examined cross-sectional and longitudinal associations of pesticide biomarkers with anxiety and depression scores. MethodsWe analyzed 646 participants from Ecuadorian agricultural communities: 510 in 2016 (ages 11-17y) and 485 in 2022 (17-24y). Twelve urinary insecticide metabolites were measured. Validated questionnaires assessed depressio...

Accurate quantification of individual exposure to air pollutants remains a major challenge in environmental health, as fixed-site monitoring fails to account for mobility, indoor environments, and physiological variability. We deployed TracMyAir, a smartphone-based digital health platform designed to generate time-resolved, personalized exposure and inhaled dose estimates for PM2.5 and ozone under real-world conditions. In an exploratory study of 18 adults contributing more than 1,500 participan...

Pregnant women with HIV control viral replication with antiretrovirals and give birth to HIV-exposed uninfected infants (HEU). The children, however, exhibit increased morbidity and mortality due to severe infections, as well as cognitive and growth abnormalities. In this study, we performed high-resolution, untargeted metabolomics on 123 HIV-exposed mother-baby pairs and 117 control pairs without HIV. High concentrations of the antiretroviral efavirenz and its metabolites were detected in mater...

BackgroundSmoking is a major preventable risk factor for all-cause mortality and disability worldwide. It leads to age-related diseases, but the effects and reversibility of smoking behaviors on different epigenetic clocks are not fully explored. ObjectiveTo characterize the association of epigenetic age acceleration in whole blood with active and secondhand smoking (SHS), smoking intensity, and time since cessation among U.S. adults. MethodsThis is a cross-sectional study in adults from the N...