Combined effects of ambient air pollution and PM2.5 components on renal function and the potential mediation effects of metabolic risk factors in China DOI Creative Commons
Fuyuan Wen, Yunyi Xie, Bingxiao Li

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2023, Volume and Issue: 259, P. 115039 - 115039

Published: May 24, 2023

Growing evidence links long-term air pollution exposure with renal function. However, little research has been conducted on the combined effects of pollutant mixture function and multiple mediation metabolic risk factors. This study enrolled 8996 adults without chronic kidney disease (CKD) at baseline from CHCN-BTH cohort study. Three-year to pollutants [particulate matter ≤ 2.5 µm (PM2.5), PM10, PM1, ozone (O3), nitrogen dioxide (NO2), sulfur (SO2) carbon monoxide (CO)] PM2.5 components [black (BC), ammonium (NH4+), nitrate (NO3-), sulfate (SO42-) organic (OM)] were assessed using well-validated machine learning methods. Linear mixed models applied investigate associations between estimated glomerular filtration rate (eGFR). Quantile G-computation was used assess mixtures. Causal analysis Bayesian employed estimate An interquartile range increases in BC (-0.256, 95 %CI: -0.331, -0.180) OM (-0.603, -0.810, -0.397) significantly associated eGFR decline; while O3 (1.151, 0.813, 1.489), PM10 (0.721, 0.309, 1.133), NH4+ (0.990, 0.638, 1.342), NO3- (0.610, 0.405, 0.815) higher eGFR. The effect component found be lower (-1.147, % CI: -1.456, -0.839), contributing 72.4 negative effect. Univariate analyses showed that high-density lipoprotein (HDL) mediated 7.1 %, 6.9 6.1 O3, BC, OM, respectively. these not significant analysis. These findings suggest decline strong contribution OM. Metabolic factors may mediate pollutants. Further is warranted clarify potential mechanisms involved.

Language: Английский

High-resolution Simulation Dataset of Hourly PM2.5 Chemical Composition in China (CAQRA-aerosol) from 2013 to 2020 DOI Creative Commons
Lei Kong, Xiao Tang, Jiang Zhu

et al.

Advances in Atmospheric Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

Citations

1
Associations between fine particulate matter and its constituents and intrahepatic cholestasis of pregnancy DOI Creative Commons
Cheng Li,

Yingzhou Ge,

Yanhui Hao

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 293, P. 118010 - 118010

Published: March 1, 2025

Few studies have reported an association between intrahepatic cholestasis of pregnancy (ICP) and preconception exposure to PM2.5 sunlight duration, but there has been no in-depth analysis the correlation ICP different constituents PM2.5. Thus, we performed this retrospective among 160,544 pregnant women who delivered 2014 2020, further estimate impact PM2.5, as well duration sunlight, on via generalized linear models. During three months prior conception, adjusted odds ratios (aORs) for were 1.176 (95 % CI: 1.066, 1.298) a 10 μg/m3 increase in 1.080 1.026, 1.138) 1 sulfate (SO42-), 1.069 1.025, 1.115) organic matter (OM), 1.274 1.049, 1.546) black carbon (BC), 1.213 1.088, 1.353) 1-hour decrease duration. In addition, during period, increased (including SO42-, OM, BC) decreased interactively associated with ICP. Moreover, OM first trimester (aOR=1.043, 95 1.004, 1.083) BC both (aOR=1.201, 1.000, 1.442) second (aOR=1.278, 1.048, 1.558) found elevate risk future, preparing conceive should avoid air pollution, related anthropogenic emissions be controlled prevent these associations.

Language: Английский

Citations

1
Association of long-term exposure to air pollutant mixture and incident cardiovascular disease in a highly polluted region of China DOI
Fuyuan Wen, Bingxiao Li, Han Cao

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 328, P. 121647 - 121647

Published: April 14, 2023

Language: Английский

Citations

22
Fine particulate matter and its constituent on ovarian reserve: Identifying susceptible windows of exposure DOI

Shuangyan Liu,

Jing Zhao, Xin Ye

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 904, P. 166744 - 166744

Published: Sept. 1, 2023

Language: Английский

Citations

18
Prenatal exposure to PM2.5 components and the risk of different types of preterm birth and the mediating effect of pregnancy complications: a cohort study DOI
Tianshan Shi, Hongmei Ma, David Li

et al.

Public Health, Journal Year: 2024, Volume and Issue: 227, P. 202 - 209

Published: Jan. 18, 2024

Language: Английский

Citations

8
Insights into PM2.5 pollution of four small and medium-sized cities in Chinese representative regions: Chemical compositions, sources and health risks DOI
Jiayuan Liu,

Tong Ma,

Jianhua Chen

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 918, P. 170620 - 170620

Published: Feb. 5, 2024

Language: Английский

Citations

8
Downscaling MERRA-2 Reanalysis PM2.5 Series over the Arabian Gulf by Inverse Distance Weighting, Bicubic Spline Smoothing, and Spatio-Temporal Kriging DOI Creative Commons
Youssef Saliba, Alina Bărbulescu

Toxics, Journal Year: 2024, Volume and Issue: 12(3), P. 177 - 177

Published: Feb. 25, 2024

This study offers a detailed analysis of the fine particulate matter (PM2.5) series in Arabian Gulf zone, employing three interpolation models, Inverse Distance Weighting (IDW), Bicubic Spline Smoothing (BSS) and Spatio-Temporal Kriging (STK). Unique advancements include use complete temporal records IDW, management edge effects S with synthetic buffer points, application STK to detrended data residuals. The results indicated that BBS, particularly adept at handling boundary conditions, significantly outperformed other methods. Compared Mean Absolute Error (MAE), Root Square (RMSE), Percentage (MAPE) decreased by 21%, 15%, respectively, BSS. STK, MAE, RMSE, MAPE were lower around 60%, 61%, 58%, respectively These findings underscore efficacy BSS method spatial for environmental monitoring, contributing enhanced PM2.5 public health region.

Language: Английский

Citations

8
Strategic control of combustion-induced ammonia emissions: A key initiative for substantial PM2.5 reduction in Tianjin, North China Plain DOI
Hao Xiao,

Chuanwen Ji,

Shiyuan Ding

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 928, P. 172328 - 172328

Published: April 11, 2024

Language: Английский

Citations

8
High spatio-temporal resolution predictions of PM2.5 using low-cost sensor data DOI Creative Commons

Armita Kar,

Mohammed Ahmed,

Andrew A. May

et al.

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 326, P. 120486 - 120486

Published: March 26, 2024

We generated PM2.5 predictions at a high spatio-temporal resolution in the Columbus, OH, Denver, CO, and Pittsburgh, PA metropolitan areas using low-cost PurpleAir sensor data. used multiple modeling approaches, namely random forest (RF), spatial interpolation (RFSI), space-time regression kriging (STRK), (RFK). trained separate models for each combination of hour, month, city to predict concentrations 8 AM 6 PM on any specific day 100m. In most cases, that account relationships (e.g., STRK, RFK, RFSI) show better performance than non-spatio-temporal machine learning RF). On average, considering all cities, RFSI (mean MAE = 1.75, R2 0.67) STRK 1.74, 0.63) perform RFK 2.11, 0.59), has clearest patterns. found models, especially are superior capturing resemble generic land use pattern city, while effective when dealing with very large datasets missing cases. Our study demonstrates multi-model approach could inform deployment facilitate air quality modeling. high-resolution also studies short-term, traffic-based exposure assessment.

Language: Английский

Citations

7
Associations of incident female breast cancer with long-term exposure to PM2.5 and its constituents: Findings from a prospective cohort study in Beijing, China DOI Creative Commons
Yutong Song,

Lei Yang,

Ning Kang

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 473, P. 134614 - 134614

Published: May 14, 2024

This study aimed to investigate the relationship between long-term exposure fine particulate matter (PM2.5) and its constituents (black carbon (BC), ammonium (NH4+), nitrate (NO3-), organic (OM), inorganic sulfate (SO42−)) incident female breast cancer in Beijing, China. Data from a prospective cohort comprising 85,504 women enrolled National Urban Cancer Screening Program Beijing (2013-2019) Tracking Air Pollution China dataset are used. Monthly exposures were aggregated calculate 5-year average concentrations indicate exposure. Cox models mixture (weighted quantile sum, quantile-based g-computation, explanatory machine learning model) employed analyze associations. Findings indicated increased levels of PM2.5 associated with higher risk, hazard ratios per 1-μg/m3 increase 1.02 (95% confidence interval (CI): 1.01, 1.03), 1.39 CI: 1.16, 1.65), 1.28 1.12, 1.46), 1.15 1.05, 1.24), 1.05 1.02, 1.08), 1.07, 1.23) for PM2.5, BC, NH4+, NO3-, OM, SO42−, respectively. Exposure-response curves demonstrated monotonic risk without an evident threshold. Mixture highlighted BC SO42−.as key factors, underscoring importance reducing emissions these pollutants.

Language: Английский

Citations

7