Hyperlocal US PM2.5 Trace Elements Super-learned DOI Creative Commons
Heresh Amini,

Mahdieh Danesh-Yazdi,

Qian Di

et al.

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Sept. 14, 2022

Abstract Particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) is a multi-million human silent killer worldwide and contains numerous trace elements (TEs). Understanding TEs relative toxicity largely limited by lack of data. Here, we used ensembles machine learning models to generate ~163 billion predictions estimating annual means ten TEs, namely bromine, calcium, copper, iron, potassium, nickel, lead, silicon, vanadium, zinc across 3,535 contiguous US urban areas at 50-m spatial resolution 1-km in non-urban from 2000-2019. Our results highlight substantial intra-urban inter-urban variations, shrinkages, stagnations, or expansions hotspots, trends 20 years. These data open avenues for future research epidemiological studies environmental justice analyses more.

Language: Английский

miR-145a-5p/SIK1/cAMP-dependent alteration of synaptic structural plasticity drives cognitive impairment induced by coke oven emissions DOI Creative Commons

Zhaoxu Wu,

Heng Zhang, Xian Chen

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 277, P. 116401 - 116401

Published: April 26, 2024

Exposure to fine particulate matter (PM) is associated with the neurodegenerative diseases. Coke oven emissions (COEs) in occupational environment are important sources of PM. However, its neurotoxicity still unclear. Therefore, evaluating toxicological effects COE on nervous system necessary. In present study, we constructed mouse models exposure by tracheal instillation. Mice exposed showed signs cognitive impairment. This was accompanied a decrease miR-145a-5p and an increase SIK1 expression hippocampus, along synaptic structural damage. Our results demonstrated that COE-induced downregulation could phosphorylated SIK1, inhibiting cAMP/PKA/CREB pathway activating PDE4D, which reduced plasticity. Furthermore, restoring based HT22 cells partially reversed negative through SIK1/PDE4D/cAMP axis. Collectively, our findings link epigenetic regulation imply be early diagnostic marker for neurological diseases patients exposure.

Language: Английский

Citations

1
Causal association between air pollution and allergic rhinitis, asthma: a Mendelian randomization study DOI Creative Commons
Juan Zhong, Weiye Li, Shasha Yang

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: July 15, 2024

Observational studies suggest that air pollutants, including particulate matter and nitrogen compounds, could elevate asthma allergic rhinitis health risks. Nevertheless, the exact nature of causal relationship between pollution remains unknown. This study utilizes Mendelian randomization (MR) technique to explore potential links components (PM2.5, PM2.5-10, PM10, NO₂, dioxide) incidence asthma. A MR utilized summary statistics from GWAS are publicly accessible. The inverse variance weighting (IVW) approach served as foundational analysis technique. To ensure robustness, supplementary methodologies such weighted median, MR-Egger regression, simple mode, model were also applied. Heterogeneity was evaluated using Cochran's Q test, presence pleiotropy determined through regression. MR-PRESSO test employed for outlier detection, analysis's sensitivity scrutinized via a leave-one-out strategy. IVW showed strong correlation PM10 (OR = 0.625, 95% CI 0.396-0.988, p 0.044). No significant associations found other pollutants PM2.5, or dioxide. Similarly, no relationships with any studied metrics. Pleiotropy absent in findings. Sensitivity analyses, employing method, confirmed stability these results, unaffected by individual single nucleotide polymorphisms (SNPs). establishes link exposure asthma, suggesting interventions reduce may decelerate adverse progression

Language: Английский

Citations

1
Effects of the major metal components in urban Asian PM2.5 on lung inflammation and abnormal electrolyte levels: an in vivo study based on review data DOI Creative Commons

Eungyung Kim,

Ke Huang,

Junkoo Yi

et al.

Environmental Pollutants and Bioavailability, Journal Year: 2024, Volume and Issue: 36(1)

Published: Sept. 5, 2024

Language: Английский

Citations

1
Spatial regulation of NMN supplementation on brain lipid metabolism upon subacute and sub-chronic PM exposure in C57BL/6 mice DOI Creative Commons
Yue Jiang, Fang Li,

Lizhu Ye

et al.

Particle and Fibre Toxicology, Journal Year: 2024, Volume and Issue: 21(1)

Published: Sept. 9, 2024

Language: Английский

Citations

1
Hyperlocal US PM2.5 Trace Elements Super-learned DOI Creative Commons
Heresh Amini,

Mahdieh Danesh-Yazdi,

Qian Di

et al.

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Sept. 14, 2022

Abstract Particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) is a multi-million human silent killer worldwide and contains numerous trace elements (TEs). Understanding TEs relative toxicity largely limited by lack of data. Here, we used ensembles machine learning models to generate ~163 billion predictions estimating annual means ten TEs, namely bromine, calcium, copper, iron, potassium, nickel, lead, silicon, vanadium, zinc across 3,535 contiguous US urban areas at 50-m spatial resolution 1-km in non-urban from 2000-2019. Our results highlight substantial intra-urban inter-urban variations, shrinkages, stagnations, or expansions hotspots, trends 20 years. These data open avenues for future research epidemiological studies environmental justice analyses more.

Language: Английский

Citations

5