Publications
72 results found
Xu Y, Han Y, Chen W, et al., 2024, Susceptibility of hypertensive individuals to acute blood pressure increases in response to personal-level environmental temperature decrease., Environ Int, Vol: 185
BACKGROUND: Environmental temperature is negatively associated with blood pressure (BP), and hypertension may exacerbate this association. The aim of this study is to investigate whether hypertensive individuals are more susceptible to acute BP increases following temperature decrease than non-hypertensive individuals. METHODS: The study panel consisted of 126 hypertensive and 125 non-hypertensive (n = 251) elderly participants who completed 940 clinical visits during the winter of 2016 and summer of 2017 in Beijing, China. Personal-level environmental temperature (PET) was continuously monitored for each participant with a portable sensor platform. We associated systolic BP (SBP) and diastolic BP (DBP) with the average PET over 24 h before clinical visits using linear mixed-effects models and explored hourly lag patterns for the associations using distributed lag models. RESULTS: We found that per 1 °C decrease in PET, hypertensive individuals showed an average (95 % confidence interval) increase of 0.96 (0.72, 1.19) and 0.28 (0.13, 0.42) mmHg for SBP and DBP, respectively; and non-hypertensive participants showed significantly smaller increases of 0.28 (0.03, 0.53) mmHg SBP and 0.14 (-0.01, 0.30) mmHg DBP. A lag pattern analysis showed that for hypertensive individuals, the increases in SBP and DBP were greatest following lag 1 h PET decrease and gradually attenuated up to lag 10 h exposure. No significant BP change was observed in non-hypertensive individuals associated with lag 1-24 h PET exposure. The enhanced increase in PET-associated BP in hypertensive participants (i.e., susceptibility) was more significant in winter than in summer. CONCLUSIONS: We found that a decrease in environmental temperature was associated with acute BP increases and these associations diminished over time, disappearing after approximately 10 hours. This implies that any intervention measures to prevent BP increases due to temperature drop
Li J, Cai YS, Kelly FJ, et al., 2023, Landscape fire smoke enhances the association between fine particulate matter exposure and acute respiratory infection among children under 5 years of age: findings of a case-crossover study for 48 low- and middle-income countries, Environment International, Vol: 171, ISSN: 0160-4120
BackgroundFine particulate matter (PM2.5) produced by landscape fires is thought to be more toxic than that from non-fire sources. However, the effects of “fire-sourced” PM2.5 on acute respiratory infection (ARI) are unknown.MethodsWe combined Demographic and Health Survey (DHS) data from 48 countries with gridded global estimates of PM2.5 concentrations from 2003 to 2014. The proportions of fire-sourced PM2.5 were assessed by a chemical transport model using a variety of PM2.5 source data. We tested for associations between ARI and short-term exposure to fire- and “non-fire-sourced” PM2.5 using a bidirectional case-crossover analysis. The robustness and homogeneity of the associations were examined by sensitivity analyses. We also established a nonlinear exposure–response relationship between fire- and non-fire-sourced PM2.5 and ARI using a two-dimensional spline function.ResultsThe study included 36,432 children under 5 years who reported ARI symptoms. Each 1 µg/m3 increment of fire-sourced PM2.5 was associated with a 3.2 % (95 % confidence interval [CI] 0.2, 6.2) increment in the risk of ARI. This effect was comparable to that of each ∼5 µg/m3 increment in PM2.5 from non-fire sources (3.1 %; 95 % CI 2.4, 3.7). The association between ARI and total PM2.5 concentration was significantly mediated by the proportion of fire-sourced particles. Nonlinear analysis showed that the risk of ARI was increased by both fire- and non-fire-sourced PM2.5, but especially by the former.ConclusionsPM2.5 produced by landscape fire was more strongly associated to ARI among children under 5 years than that from non-fire sources.
Li H, Han Y, Wang T, et al., 2023, Development and validation of a simple and rapid HILIC-MS/MS method for the quantification of low-abundant lysoglycerophospholipids in human plasma, ANALYTICAL AND BIOANALYTICAL CHEMISTRY, Vol: 415, Pages: 411-425, ISSN: 1618-2642
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- Citations: 1
Chatzidiakou L, Krause A, Kellaway M, et al., 2022, Automated classification of time-activity-location patterns for improved estimation of personal exposure to air pollution, Environmental Health, Vol: 21, ISSN: 1476-069X
BackgroundAir pollution epidemiology has primarily relied on measurements from fixed outdoor air quality monitoring stations to derive population-scale exposure. Characterisation of individual time-activity-location patterns is critical for accurate estimations of personal exposure and dose because pollutant concentrations and inhalation rates vary significantly by location and activity.MethodsWe developed and evaluated an automated model to classify major exposure-related microenvironments (home, work, other static, in-transit) and separated them into indoor and outdoor locations, sleeping activity and five modes of transport (walking, cycling, car, bus, metro/train) with multidisciplinary methods from the fields of movement ecology and artificial intelligence. As input parameters, we used GPS coordinates, accelerometry, and noise, collected at 1 min intervals with a validated Personal Air quality Monitor (PAM) carried by 35 volunteers for one week each. The model classifications were then evaluated against manual time-activity logs kept by participants.ResultsOverall, the model performed reliably in classifying home, work, and other indoor microenvironments (F1-score>0.70) but only moderately well for sleeping and visits to outdoor microenvironments (F1-score=0.57 and 0.3 respectively). Random forest approaches performed very well in classifying modes of transport (F1-score>0.91). We found that the performance of the automated methods significantly surpassed those of manual logs.ConclusionsAutomated models for time-activity classification can markedly improve exposure metrics. Such models can be developed in many programming languages, and if well formulated can have general applicability in large-scale health studies, providing a comprehensive picture of environmental health risks during daily life with readily gathered parameters from smartphone technologies.
Tong M, Li P, Wang M, et al., 2022, Time-varying association between fetal death and gestational exposure to ambient fine particles: a nationwide epidemiological study of 49 million fetuses in the contiguous US from 1989 to 2004, INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, Vol: 51, Pages: 1984-1999, ISSN: 0300-5771
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- Citations: 4
Zhang H, Fan Y, Han Y, et al., 2022, Partitioning indoor-generated and outdoor-generated PM2.5 from real-time residential measurements in urban and peri-urban Beijing, Science of the Total Environment, Vol: 845, ISSN: 0048-9697
Limited number of projects have attempted to partition and quantify indoor- and outdoor-generated PM2.5 (PM2.5ig and PM2.5og) where strong indoor sources (e.g., solid fuel, tobacco smoke, or kerosene) exist. This study aimed to apply and refine a previous recursive model used to derive infiltration efficiency (Finf) to additionally partition pollution concentrations into indoor and outdoor origins within residences challenged by elevated ambient and indoor combustion-related sources. During the winter of 2016 and summer of 2017 we collected residential measurements in 72 homes in urban and peri-urban Beijing, 12 of which had additional paired residential outdoor measurements during the summer season. Local ambient measurements were collected throughout. We then compared the calculated PM2.5ig and using (i) outdoor and (ii) ambient measurements as model inputs. The results from outdoor and ambient measurements were not significantly different, which suggests that ambient measurements can be used as a model input for pollution origin partitioning when paired outdoor measurements are not available. From the results calculated using ambient measurements, the mean percentage contribution of indoor-generated PM2.5 was 19 % (σ = 22 %), and 7 % (11 %) of the total indoor PM2.5 for peri-urban and urban homes respectively during the winter; and 18 % (18 %) and 6 % (10 %) of the total indoor PM2.5 during the summer. Partitioning pollution into PM2.5ig and PM2.5og is important to allow investigation of distinct associations between health outcomes and particulate mixes, often with different physiochemical composition and toxicity. It will also inform targeted interventions that impact indoor and outdoor sources of pollution (e.g., domestic fuel switching vs. power generation), which are typically radically different in design and implementation.
Wang T, Chen X, Li H, et al., 2022, Pro-thrombotic changes associated with exposure to ambient ultrafine particles in patients with chronic obstructive pulmonary disease: roles of lipid peroxidation and systemic inflammation, PARTICLE AND FIBRE TOXICOLOGY, Vol: 19, ISSN: 1743-8977
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- Citations: 6
Jiang X, Han Y, Qiu X, et al., 2022, Metabolic Disorder Enhances Oxidative Stress after Exposure to Aromatic Components of Fine Particulate Matter, ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, ISSN: 2328-8930
Yao Y, Chen X, Yang M, et al., 2022, Neuroendocrine stress hormones associated with short-term exposure to nitrogen dioxide and fine particulate matter in individuals with and without chronic obstructive pulmonary disease: A panel study in Beijing, China, ENVIRONMENTAL POLLUTION, Vol: 309, ISSN: 0269-7491
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- Citations: 1
Xu Y, Chen X, Han Y, et al., 2022, Ceramide metabolism mediates the impaired glucose homeostasis following short-term black carbon exposure: A targeted lipidomic analysis, SCIENCE OF THE TOTAL ENVIRONMENT, Vol: 829, ISSN: 0048-9697
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- Citations: 4
Xu Y, Han Y, Wang Y, et al., 2022, Ambient Air Pollution and Atherosclerosis: A Potential Mediating Role of Sphingolipids, ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY, Vol: 42, Pages: 906-918, ISSN: 1079-5642
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- Citations: 7
Jiang X, Han Y, Qiu X, et al., 2022, Personal exposure to electrophilic compounds of fine particulate matter and the inflammatory response: The role of atmospheric transformation, JOURNAL OF HAZARDOUS MATERIALS, Vol: 432, ISSN: 0304-3894
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- Citations: 4
Yao Y, Chen X, Chen W, et al., 2022, Transcriptional pathways of elevated fasting blood glucose associated with short-term exposure to ultrafine particles: A panel study in Beijing, China, JOURNAL OF HAZARDOUS MATERIALS, Vol: 430, ISSN: 0304-3894
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- Citations: 5
Chen W, Han Y, Wang Y, et al., 2022, Glucose Metabolic Disorders Enhance Vascular Dysfunction Triggered by Particulate Air Pollution: a Panel Study, HYPERTENSION, Vol: 79, Pages: 1079-1090, ISSN: 0194-911X
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- Citations: 5
Gao K, Chen X, Zhang L, et al., 2022, Associations between differences in anemia-related blood cell parameters and short-term exposure to ambient particle pollutants in middle-aged and elderly residents in Beijing, China, SCIENCE OF THE TOTAL ENVIRONMENT, Vol: 816, ISSN: 0048-9697
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- Citations: 7
Xu Y, Li H, Han Y, et al., 2022, A simple and rapid method for extraction and measurement of circulating sphingolipids using LC-MS/MS: a targeted lipidomic analysis, ANALYTICAL AND BIOANALYTICAL CHEMISTRY, Vol: 414, Pages: 2041-2054, ISSN: 1618-2642
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- Citations: 4
Wang T, Han Y, Li H, et al., 2022, Fine particulate matter and vasoactive 20-hydroxyeicosatetraenoic acid: Insights into the mechanisms of the prohypertensive effects of particulate air pollution, SCIENCE OF THE TOTAL ENVIRONMENT, Vol: 806, ISSN: 0048-9697
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- Citations: 2
Gao K, Chen X, Li X, et al., 2022, Susceptibility of patients with chronic obstructive pulmonary disease to heart rate difference associated with the short-term exposure to metals in ambient fine particles: A panel study in Beijing, China, SCIENCE CHINA-LIFE SCIENCES, Vol: 65, Pages: 387-397, ISSN: 1674-7305
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- Citations: 4
Chen X, Luan M, Liu J, et al., 2022, Risk factors in air pollution exposome contributing to higher levels of TNFα in COPD patients, ENVIRONMENT INTERNATIONAL, Vol: 159, ISSN: 0160-4120
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- Citations: 7
Lin Y, Zhang H, Han Y, et al., 2022, Field Evaluation of a Potential Exposure Biomarker of Methylated Polycyclic Aromatic Hydrocarbons: Association between Urinary Phenanthrene-2-carboxylic Acid and Personal Exposure to 2-Methylphenanthrene, ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, Vol: 9, Pages: 166-172, ISSN: 2328-8930
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- Citations: 3
Han Y, Xue T, Kelly FJ, et al., 2022, Association of PM2.5 reduction with improved kidney function: a nationwide quasiexperiment among Chinese adults, Health Data Science, Vol: 2022, ISSN: 2765-8783
Background. Increasing evidence from human studies has revealed the adverse impact of ambient fine particles (PM 2.5) on health outcomes related to metabolic disorders and distant organs. Whether exposure to ambient PM 2.5 leads to kidney impairment remains unclear. The rapid air quality improvement driven by the clean air actions in China since 2013 provides an opportunity for a quasiexperiment to investigate the beneficial effect of PM 2.5 reduction on kidney function.Methods. Based on two repeated nationwide surveys of the same population of 5115 adults in 2011 and 2015, we conducted a difference-in-difference study. Variations in long-term exposure to ambient PM 2.5 were associated with changes in kidney function biomarkers, including estimated glomerular filtration rate by serum creatinine (GFR scr) or cystatin C (GFR cys), blood urea nitrogen (BUN), and uric acid (UA).Results. For a 10 μg/m 3 reduction in PM 2.5, a significant improvement was observed for multiple kidney functional biomarkers, including GFR scr, BUN and UA, with a change of 0.42 (95% confidence interval [CI]: 0.06, 0.78) mL/min/1.73m 2, -0.38 (-0.64, -0.12) mg/dL, and -0.06 (-0.12, -0.00) mg/dL, respectively. A lower socioeconomic status, indicated by rural residence or low educational level, enhanced the adverse effect of PM 2.5 on kidney function.Conclusions. These results support a significant nephrotoxicity of PM 2.5 based on multiple serum biomarkers and indicate a beneficial effect of improved air quality on kidney function.
Wang T, Han Y, Li H, et al., 2021, Proinflammatory lipid signals trigger the health effects of air pollution in individuals with prediabetes, ENVIRONMENTAL POLLUTION, Vol: 290, ISSN: 0269-7491
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- Citations: 6
Shi Y, Han Y, Wang Y, et al., 2021, Serum branched-chain amino acids modifies the associations between air pollutants and insulin resistance, Ecotoxicology and Environmental Safety, Vol: 225, Pages: 1-8, ISSN: 0147-6513
Growing evidence supports that air pollution exposure has become a risk factor of type II diabetes mellitus through the induction of insulin resistance (IR), but the presented findings did not provide a consistent relationship between air pollution exposure and IR in the temporal scale and the magnitude. Reported associated with IR and air pollution exposure, branched-chain amino acids (BCAAs) in blood might modify the association between air pollution exposure and IR. We took advantage of an existing panel study on elderly people who were healthy or with pre-diabetes. Amino acids were analyzed from the serum samples using a UPLC-QQQ-MS, and the homeostasis model assessment of insulin resistance (HOMA-IR) values were calculated to represent the levels of IR in each visit. Exposures to PM2.5, NO2, SO2, CO, O3, and black carbon (BC) were estimated using data from a monitoring station. Linear mixed-effects models were applied to estimate the associations between the air pollution and HOMA-IR, as well as the modifying effects of BCAAs. We found significantly higher concentrations of BCAAs in the pre-diabetic subjects than healthy ones. The concentrations of BCAAs were all significantly associated with HOMA-IR. For subjects with high-level BCAAs, HOMA-IR was positively associated with an IQR increase in PM2.5, NO2, BC, and CO at lag day 2 and in PM2.5, SO2, NO2, BC, and CO at lag day 7. While for subjects with low-level BCAAs, there was no significant association observed at any lag day except for CO at lag day 5. The study provided evidence that circulating BCAAs may modify the relationship between air pollution exposure and the level of insulin resistance in humans.
Chen X, Que C, Yao Y, et al., 2021, Susceptibility of individuals with lung dysfunction to systemic inflammation associated with ambient fine particle exposure: A panel study in Beijing, SCIENCE OF THE TOTAL ENVIRONMENT, Vol: 788, ISSN: 0048-9697
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- Citations: 10
Xue T, Geng G, Li J, et al., 2021, Associations between exposure to landscape fire smoke and child mortality in low-income and middle-income countries: a matched case-control study, The Lancet Planetary Health, Vol: 5, Pages: E588-E598, ISSN: 2542-5196
BackgroundThe prevalence of landscape fires has increased, particularly in low-income and middle-income countries (LMICs). We aimed to assess the impact of exposure to landscape fire smoke (LFS) on the health of children.MethodsWe conducted a sibling-matched case-control study and selected 552 155 children (aged <18 years) from Demographic and Health Surveys in 55 LMICs from 2000 to 2014. Each deceased child was matched with their sibling(s). The exposure indicators were fire-sourced PM2·5 and dry-matter emissions. We associated these exposure indicators with child mortality using conditional regressions, and derived an exposure–response function using a non-linear model. Based on the association, we quantified the global burden of fire-attributable child deaths in LMICs from 2000 to 2014.FindingsEach 1 μg/m3 increment of fire-sourced PM2·5 was associated with a 2·31% (95% CI 1·50–3·13) increased risk of child mortality. The association was robust to different models. The exposure–response function was superlinear and suggested per-unit exposure to larger fires was more toxic. Based on our non-linear exposure–response function, we estimated that between 2000 and 2014, the five countries with the largest number of child deaths associated with fire-sourced PM2·5 were Nigeria (164 000 [126 000 to 209 000] annual deaths), Democratic Republic of the Congo (126 000 [95% CI 114 000 to 139 000] annual deaths), India (65 900 [−22 200 to 147 000] annual deaths), Uganda (30 200 [24 500 to 36 300] annual deaths), and Indonesia (28 900 [19 100 to 38 400]).InterpretationExposure to landscape fire smoke contributes substantially to the global burden of child mortality.FundingNational Natural Science Foundation of China, Ministry of Science and Technology of China, Peking University, UK National Institute for Health Research Health Protection Research Unit, Leverhulme Center for Wildfires, Environment and
Yao Y, Chen X, Chen W, et al., 2021, Differences in transcriptome response to air pollution exposure between adult residents with and without chronic obstructive pulmonary disease in Beijing: A panel study, JOURNAL OF HAZARDOUS MATERIALS, Vol: 416, ISSN: 0304-3894
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- Citations: 7
Jiang X, Han Y, Qiu X, et al., 2021, Organic Components of Personal PM<sub>2.5</sub> Exposure Associated with Inflammation: Evidence from an Untargeted Exposomic Approach, ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol: 55, Pages: 10589-10596, ISSN: 0013-936X
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- Citations: 19
Li J, Yao Y, Xie W, et al., 2021, Association of long-term exposure to PM<sub>2.5</sub> with blood lipids in the Chinese population: Findings from a longitudinal quasi-experiment, ENVIRONMENT INTERNATIONAL, Vol: 151, ISSN: 0160-4120
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- Citations: 25
Xue T, Geng G, Han Y, et al., 2021, Open fire exposure increases the risk of pregnancy loss in South Asia, NATURE COMMUNICATIONS, Vol: 12, ISSN: 2041-1723
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- Citations: 16
Fan Y, Wang H, Wu Q, et al., 2021, SARS pandemic exposure impaired early childhood development in China, SCIENTIFIC REPORTS, Vol: 11, ISSN: 2045-2322
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- Citations: 4
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