<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Bein KJ</submitter><funding>National Institute of Environmental Health Sciences</funding><funding>NIA NIH HHS</funding><funding>NIEHS NIH HHS</funding><funding>National Institute for Occupational Safety and Health</funding><funding>NIOSH CDC HHS</funding><funding>National Institute on Aging</funding><pubmed_abstract>Epidemiological and toxicological studies continue to demonstrate correlative and causal relationships between exposure to traffic-related air pollution and various metrics of adverse pulmonary, cardiovascular, and neurological health effects. The key challenge for in vivo studies is replicating real-world, near-roadway exposure dynamics in laboratory animal models that mimic true human exposures. The advantage of animal models is the accelerated time scales to show statistically significant physiological and/or behavioral response. This work describes a novel exposure facility adjacent to a major freeway tunnel system that provides a platform for real-time chronic exposure studies. The primary conclusion is that particulate matter (PM) concentrations at this facility are routinely well be</pubmed_abstract><journal>Environmental science &amp; technology</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9437142</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Emulating Near-Roadway Exposure to Traffic-Related Air Pollution via Real-Time Emissions from a Major Freeway Tunnel System.</pubmed_title><pmcid>PMC9437142</pmcid><funding_grant_id>R21ES025570</funding_grant_id><funding_grant_id>P30ES023513</funding_grant_id><funding_grant_id>R01ES026670</funding_grant_id><funding_grant_id>R21 ES026515</funding_grant_id><funding_grant_id>RF1 AG074709</funding_grant_id><funding_grant_id>RF1AG074709</funding_grant_id><funding_grant_id>P30 ES023513</funding_grant_id><funding_grant_id>P30AG010129</funding_grant_id><funding_grant_id>P30 AG010129</funding_grant_id><funding_grant_id>U54 OH007550</funding_grant_id><funding_grant_id>R21 ES025570</funding_grant_id><funding_grant_id>R21ES026515</funding_grant_id><pubmed_authors>Wexler AS</pubmed_authors><pubmed_authors>Wallis CD</pubmed_authors><pubmed_authors>Lein PJ</pubmed_authors><pubmed_authors>Silverman JL</pubmed_authors><pubmed_authors>Bein KJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Emulating Near-Roadway Exposure to Traffic-Related Air Pollution via Real-Time Emissions from a Major Freeway Tunnel System.</name><description>Epidemiological and toxicological studies continue to demonstrate correlative and causal relationships between exposure to traffic-related air pollution and various metrics of adverse pulmonary, cardiovascular, and neurological health effects. The key challenge for in vivo studies is replicating real-world, near-roadway exposure dynamics in laboratory animal models that mimic true human exposures. The advantage of animal models is the accelerated time scales to show statistically significant physiological and/or behavioral response. This work describes a novel exposure facility adjacent to a major freeway tunnel system that provides a platform for real-time chronic exposure studies. The primary conclusion is that particulate matter (PM) concentrations at this facility are routinely well be</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-04T22:54:29.741Z</modification><creation>2025-04-04T22:54:29.741Z</creation></dates><accession>S-EPMC9437142</accession><cross_references><pubmed>35235290</pubmed><doi>10.1021/acs.est.1c07047</doi></cross_references></HashMap>