Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke

The impact of environmental contaminants on extracellular vesicles and their key molecular regulators: A literature and database‐driven review

“…Furthermore, biological consequences may be further characterized by evidence of cross‐tissue talk mediated by EVs. Two studies have investigated EV mediated cross‐talk between the lung and heart (Carberry, Koval, et al, 2022; Wang et al, 2022). For example, one recent found that wildfire exposure in vivo was associated with altered EV miRNAs in plasma.…”

Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring

“…Transcriptomic sequencing data were processed in R Software (v4.0.3) using pre-processing and statistics that are recognized under transcriptomic processing guidelines and commonly implemented when evaluating chemical-induced changes in transcriptomic signatures from in vivo experimental designs. − As described below, different filtering strategies were included to test sensitivities of various gene inclusion/exclusion criteria to ensure stability among the final exposure groupings. Count data were first filtered for background by requiring that each evaluated transcript be expressed at signals above the overall median in at least 20% of the lung samples. , This background filter resulted in a panel of 17,356 mRNAs that were carried forward in the analysis. Potential outliers were evaluated through principal component analysis (prcomp function) and hierarchical clustering (hclust and dist functions using a Euclidean distance metric), and resulting visualizations were assessed.…”

“…Count data were first filtered for background by requiring that each evaluated transcript be expressed at signals above the overall median in at least 20% of the lung samples. 27,28 This background filter resulted in a panel of 17,356 mRNAs that were carried forward in the analysis. Potential outliers were evaluated through principal component analysis (prcomp function) and hierarchical clustering (hclust and dist functions using a Euclidean distance metric), and resulting visualizations were assessed.…”

Computational Approach to Link Chemicals in Anthropogenic Smoke Particulate Matter with Toxicity

“…Anthropogenic smoke is emitted from not only burning of the solid portion of wastes (e.g., burn pits) and man-made materials but also natural wildfires that spread into wildland-urban interface (WUI) communities with burning homes, businesses, and motor vehicles, among other items. Notably, chlorinated dioxins, furans, heavy metals, and per-/polyfluoroalkyl substances (PFAS) can be emitted from these fires, raising the possibility for more toxic emissions. , Moreover, due to the dynamic and chemical complexity of the smoke emissions, consequent health impacts following exposures vary greatly across different source materials . Thus, it is challenging to identify key chemical drivers of possible adverse health effects associated with anthropogenic smoke exposures.…”

“…4,5 Moreover, due to the dynamic and chemical complexity of the smoke emissions, consequent health impacts following exposures vary greatly across different source materials. 6 Thus, it is challenging to identify key chemical drivers of possible adverse health effects associated with anthropogenic smoke exposures.…”