Background: With the rise in air pollution levels, there is a growing concern about its impact on public health, particularly on the development of fetuses and newborns. This study investigates the causal relationship between environmental particulate and congenital diseases in newborns, using a Mendelian randomization approach with GWAS data.
Methods: The study employed Mendelian randomization, utilizing single nucleotide polymorphisms as instrumental variables, to estimate the causal effect of environmental Particulate on congenital diseases. Data from the UK Biobank and FinnGen databases were used to identify independent SNPs associated with environmental particulate. Two-sample Mendelian randomization methods were applied, and the Global Burden of Disease (GBD) database was leveraged to analyze the trends and burden of neonatal diseases from 1990 to 2021 and to forecast the burden for 2022-2052.
Results: Significant causal associations were identified between PM2.5, PM10 and specific congenital malformations, including gallbladder, bile duct, liver anomalies, and malformations of the reproductive organs and broad ligaments. A review of GBD data indicates a decline in the prevalence of neonatal DALYs and YLDs attributed to ambient particulate matter over the past three decades. This may be attributed to improvements in air quality and the implementation of pollution control measures. However, forecasting models indicated potential future risks, suggesting that the burden of disease in newborns due to particulate matter exposure remains a concern.
Conclusion: The study provides evidence of a causal link between environmental particulate and congenital diseases in newborns, highlighting the importance of air pollution reduction for the health of newborns. Despite the observed decline in disease burden, the potential future risks underscore the necessity for continued air quality management and the need for further research to understand the complex interactions between environmental particulate, genetic factors, and fetal development.
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http://dx.doi.org/10.1016/j.ecoenv.2024.117465 | DOI Listing |
J Aerosol Sci
November 2024
National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH, 45226, United States.
Trace measurement of aerosol chemical composition in workplace atmospheres requires the development of high-throughput aerosol collectors that are compact, hand-portable, and can be operated using personal pumps. We describe the design and characterization of a compact, high flow, Turbulent-mixing Condensation Aerosol-in-Liquid Concentrator (TCALC) that allows direct collection of aerosols as liquid suspensions, for off-line chemical, biological, or microscopy analysis. The TCALC unit, measuring approximately 12 × 16 × 18 cm, operates at an aerosol sample flowrate of up to 10 L min, using rapid mixing of a hot flow saturated with water vapor and a cold aerosol sample flow, thereby promoting condensational growth of aerosol particles.
View Article and Find Full Text PDFJ Chromatogr A
December 2024
School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. Electronic address:
The evolution of precursors to form secondary organic aerosol (SOA) is still a challenge in atmospheric chemistry. Chamber experiments were conducted to simulate the ambient OH oxidation of naphthalene and α-pinene, which are typical markers of anthropogenic and biogenic emissions. Particulate matters were sampled by quartz filters and were analyzed by comprehensive two-dimensional gas chromatography (GC×GC) coupled with a thermal desorption system (TD) and a mass spectrometer (MS).
View Article and Find Full Text PDFSci Total Environ
December 2024
Center for Environmental Measurement and Modeling, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
Epidemiologic studies of ambient fine particulate matter (PM) and ozone (O) often use outdoor concentrations from central-site monitors or air quality model estimates as exposure surrogates, which can result in exposure errors. We previously developed an exposure model called TracMyAir, which is an iPhone application that determines seven tiers of individual-level exposure metrics for ambient PM and O using outdoor concentrations, home building characteristics, weather, time-activities. The exposure metrics with increasing information needs and complexity include: outdoor concentration (C, Tier 1), building infiltration factor (F, Tier 2), indoor concentration (C, Tier 3), time spent in microenvironments (ME) (T, Tier 4), personal exposure factor (F, Tier 5), exposure (E, Tier 6), and inhaled dose (D, Tier 7).
View Article and Find Full Text PDFSci Rep
December 2024
Department of Civil Engineering, Sharif University of Technology, Tehran, Iran.
Air pollution, a global health hazard, significantly impacts mortality, cardiovascular health, mental well-being, and overall human health. This study aimed to investigate the impact of air pollution and meteorological factors on cardiovascular mortality rates in Mashhad City, northeastern Iran in 2017-2020. We utilized a Random Forest (RF) model in this study.
View Article and Find Full Text PDFSci Rep
December 2024
Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Falmouth, USA.
Coral reef sponges efficiently take up particulate and dissolved organic matter (DOM) from the water column and release compounds such as nucleosides, amino acids, and other dissolved metabolites to the surrounding reef via their exhalent seawater, but the influence of this process on reef picoplankton and nutrient processing is relatively unexplored. Here we examined the impact of sponge exhalent on the reef picoplankon community and subsequent alterations to the reef dissolved metabolite pool. We exposed reef picoplankton communities to a sponge exhalent water mixture (Niphates digitalis and Xestospongia muta) or filtered reef seawater (control) in closed, container-based dark incubations.
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