Our new study shows that air pollutants and temperature anomalies increase U.S. cardiovascular hospitalizations. Abnormal temperatures impact CVD via interaction with air pollution, emphasizing the need for emission controls. @SinaiExposomics https://t.co/WlOKcyMD1I
Our study with 277 children in Chicago suggests that high ambient PM2.5 levels may induce trained immunity, resulting in stronger cytokine responses and reduced sensitivity to anti-inflammatory agents.
Link to paper: https://t.co/xYqzphbMcT @SinaiExposomics@IcahnMountSinai
Our study also provides the possibility of studying UFP health effects, particularly at low levels, and interestingly the effect modification by APS.
@SinaiExposomics@IcahnMountSinai#Copenhagen
In Copenhagen, Denmark, we harnessed AI to unmask three ultrafine particle (UFP) metrics in the ambient air: annual mean particle number concentrations (PNC), lung-deposited surface area (LDSA), and average particle size (APS). https://t.co/kg54FvjZHK
Our models achieved R² values of 0.93 for PNC, 0.88 for LDSA, and 0.85 for APS. Our study illuminates how UFP exposure metrics vary across a European city with high environmental standards where more than 60% of people commute to work by bicycle.
We always think about mixtures of exposures, what about mixtures of outcomes? Here we showed how cell type proportions estimated via DNA methylation can be jointly analyzed in association with individual environmental exposures.
New publication: "Air quality disparities mapper: An open-source web application for environmental justice." This tool empower US communities to better understand their air quality, and emitting sector(s) to prioritize for PM2.5 reduction programs. https://t.co/nGw5UZM5ui
We have learned a terrible news today. My colleague @HereshAmini was recently diagnosed with a stage 4 cancer. This is so unfair. Heresh is such a beautiful soul. We all know the US Health system. Please check his story here, share, contribute #epitwitter
https://t.co/UM4LYV15Ne
Our study suggests that Google Street View-based LUR models, based on mobile monitoring, can effectively capture the long-term spatial patterns of NO2 in Copenhagen at both street and residential scales.
Publication alert: Our paper, led by Shali Tayebi, on comparing predictions of two different models for estimating air pollution levels (NO2 and BC) across Copenhagen, Denmark has been published in Atmosphere. https://t.co/DY2auB5LtA @SinaiExposomics
While I hope for peace and an end to conflict in the Middle East during these challenging times, I’m thrilled to share our most recent paper, “Climate Change, Exposome Change, and Allergy: A Review.” https://t.co/h9ACnZdpLq
@IcahnMountSinai@SinaiExposomics#exposome