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CMAPS Dataset Coarse PM exacerbates allergic airway responses in mice.
The dataset contains the original data relevant for each figure or table in the cleared publication. The excel file has tabs labelled for each figure (Figures 1-4) or table (tables 1-3). Figure 5 in the paper shows representative histology figures, and so is not linked to data other than as representative of table 3 (histology). Table 1 has 3 tabs for PM collection at the CLM site, PM collection at the GTC site, and for chemistry. Table 2 is represented on 1 tab for biochemistry. Table 3 has 2 tabs for the raw histopathology data for the statistics and summary. This dataset is associated with the following publication: Hargrove, M.M., J. Mcgee, E. Gibbs-Flournoy, C. Wood, Y.H. Kim, I. Gilmour, and S. Gavett. Source-Apportioned Coarse Particulate Matter Exacerbates Allergic Airway Responses in Mice. INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 30(11): 405-415, (2018).
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Dataset - Associations of Air Pollution and Pediatric Asthma in Cleveland, Ohio
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EPA Positive Matrix Factorization (PMF) source profile results for fine and coarse particulate matter. Inorganic fine and coarse particulate matter concentration data used in PMF models. This dataset is associated with the following publication: Khatri, S.B., C. Newman, J.P. Hammel, T. Dey, J.J. Van Laere, K.A. Ross, T. Anderson, S. Mukerjee, L. Smith, M. Landis, A. Holstein, and G. Norris. Associations of Air Pollution and Pediatric Asthma in Cleveland, Ohio. The Scientific World Journal. Hindawi Publishing Corporation, New York, NY, USA, 2021: 8881390, (2021).
Farraj et al All Data Asthma-Cardiovascular June-28-2022
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Individual values for all tables and figures 2 thru 9. This dataset is associated with the following publication: Farraj, A., B.L. Martin, M. Schladweiler, C. Miller, J. Smoot, W. Williams, A. Astriab Fisher, W. Oshiro, A. Tennant, W.K. Martin, A. Henriquez, R. Grindstaff, S. Gavett, M. Gilmour, U. Kodavanti, M. Hazari, and J. Dye. Mild allergic airways responses to an environmental mixture increase cardiovascular risk in rats. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 191(1): 106-122, (2023).
Asthmatic airways are more sensitive to burn pit smoke particles
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This study sought to examine whether mild preexisting allergic airways disease enhances the response of the lungs to burn pit smoke emissions. The findings indicate that exposure to house dust mite (HDM) antigen sensitizes the mouse lungs to make them more susceptible to burn pit smoke-induced dysfunction, in both the inflammatory response to burn pit smoke and in the accumulation of airway mucus. This suggests that changes in cilia and mucociliary clearance (MCC) induced by asthma that are amplified by inhalation of burn pit smoke, followed by a feedback loop of enhanced inflammation induced by the accumulating mucus, appears a likely mechanism. This dataset is associated with the following publication: Belfield-Simpson, L., J. Martin, M.K. McPeek, A. Livraghi-Butrico, H. Dang, Y.H. Kim, I. Gilmour, and C. Doerschuk. Combustion products of burn pit constituents induce more changes in asthmatic than non-asthmatic murine lungs. Particle and Fibre Toxicology. BioMed Central Ltd, London, UK, 22: 21, (2025).
Respiratory Effects and Systemic Stress Response Following Acute Acrolein Inhalation in Rats
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This data set is an Excel file pertaining to the study that examined nasal, pulmonary, and systemic effects of acrolein in rats acutely exposed to a range of concentrations. The different tabs of the spreadsheet pertain to each figure found in the manuscript. This dataset is associated with the following publication: Snow, S., M. McGee, A. Henriquez, J. Richards, M. Schladweiler, A. Ledbetter, and U. Kodavanti. Respiratory Effects and Systemic Stress Response Following Acute Acrolein Inhalation in Rats#. TOXICOLOGICAL SCIENCES. Society of Toxicology, 158(2): 454-464, (2017).
Effects of Simulated Smog in Rodent Models of Disease Dataset.
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The dataset includes the draft main paper and supporting information file to be submitted to the journal, and also excel spread sheets containing the raw data which backs up the processed data used in the paper and supporting information file. Data include exposure characterization (temperature, RH, pollutant levels, etc.), physiology data, serum data, lung inflammation data, viral burden data, PCR data, blood data, lung pathology data, and other miscellaneous data. All the column headings and other relevant definitions and information are included in the data sets, and match the relevant data in the paper to be submitted. This dataset is associated with the following publication: Hargrove, M., S. Snow, R. Luebke, C. Wood, J. Krug, T. Krantz, C. King, C. Copeland, S. McCullough, K. Gowdy, U. Kodavanti, I. Gilmour, and S. Gavett. Effects of Simulated Smog Atmospheres in Rodent Models of Metabolic and Immunologic Dysfunction. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(5): 3062-3070, (2018).
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