Asthma, Chronic Obstructive Pulmonary Disease (COPD), Lung Cancer
Conditions
Keywords
Wildfire Smoke, Chronic Lung Disease, Air Pollution, Controlled Human Exposure Study, Environmental Health, PM2.5
Brief summary
Wildfire smoke (WFS) is the leading climate-related risk in Canada and the main source of harmful air pollution. While short-term breathing problems caused by smoke are well known, there is limited knowledge on how repeated exposure contributes to long-term lung disease. This study is a controlled human exposure to varying concentrations of WFS in a safe setting. By comparing the effects of different concentrations, this research will improve understanding of health impacts, identify who may be most vulnerable to exposures, and explore biological changes that could lead to chronic illness.
Detailed description
PURPOSE: To use responses to controlled human exposures to woodsmoke, as a model of wildfire smoke (WFS), to quantify risk of, and add biological plausibility to, the supposition that WFS-related particulate matter with a diameter of 2.5 micrometers or less (PM2.5) contributes to the development of neurological and chronic lung diseases. Study Exposure Arms: Arm A: 3 consecutive days with 2h woodsmoke exposures at 35 µg/m3 of PM2.5 Arm B: 3 consecutive days with 2h woodsmoke exposures at 105 µg/m3 of PM2.5 Arm C: 2 consecutive days of Filtered Air (FA), followed by 1 day with a 2h woodsmoke exposure at 315 µg/m3 of PM2.5 HYPOTHESIS, JUSTIFICATIONS, AND OBJECTIVES Aim 1A: Enhance plausibility for, and quantify risk of, WFS contributions to chronic lung disease. Hypothesis 1A: The investigators will determine mechanisms that plausibly link WFS exposure to the development of chronic disease, by connecting WFS exposures to lung function decline, asthma, chronic obstructive pulmonary disease (COPD), or lung cancer. To assess the plausibility of linking WFS exposure to Chronic Lung Diseases such as asthma, COPD, and lung cancer. To evaluate the biological impacts of WFS on the airways. * Specifically, what are the effects of exposure concentration, intensity, and time on inflammatory and immunomodulatory responses to WFS exposure? * Several biological pathways may link WFS exposures with the development of chronic respiratory diseases such as asthma, COPD, and lung cancer. These include effects of oxidative stress and inflammation on epithelial barrier integrity, which may facilitate contact with immune cells, allergen sensitization, increased infection susceptibility, and tissue remodelling that impairs lung function. Epigenetics, notably DNA methylation (DNAm), is another potential mechanism linking WFS to chronic disease, and the airway microbiome may also contribute through several pathways. However, WFS differs from general urban and traffic-related air pollution (TRAP), so effects of TRAP exposure demonstrated to date cannot be assumed to apply to WFS. Aim 1B: Use a controlled human exposure study to identify, across different intensities of WFS exposure: 1.1 Neurocognitive changes relevant to the development of chronic neurological diseases 1.2 Temporal patterns of onset and resolution in relevant circulating neuro-inflammatory markers 1.3 Sex, age, and genetics as effect-modifying susceptibility factors for the above phenomena Hypothesis 1B: The investigators will demonstrate disturbances in the brain default mode network (DMN), and intensity-dependent increases in circulating neuro-inflammatory markers, particularly in older individuals and those with genotypes conferring deficient anti-oxidant metabolism or those conferring risk of dementia. RESEARCH DESIGN A randomized, double-blinded, crossover-controlled human exposure study. STATISTICAL ANALYSIS Data will be analysed in R using generalized and linear mixed-effects models. Models will run with exposure as a fixed effect and participant ID as a random effect.
Interventions
Woodsmoke will be freshly generated using a furnace tube burning dried, ground lodgepole pine (Pinus contorta) to achieve the nominal PM2.5 (particulate matter with an aerodynamic diameter of less than or equal to 2.5 micrometres) concentrations specified for each study arm.
Exposures to HEPA filtered air, as a control.
Sponsors
Study design
Masking description
Blinding of exposures will be performed by the air pollution exposure laboratory (APEL) engineer. Participant coordination and testing will be conducted by a researcher without knowledge of which study arm a given participant is undergoing. The study investigator will be blinded to which study arm participants are undergoing. All assays will be performed by personnel who do not know the exposure conditions of individual samples.
Intervention model description
Participants will act as their own controls, as they will complete all three study arms: Arm A) Three consecutive days with a 2-hour woodsmoke exposure at 35 µg/m3 of PM2.5 each day. Arm B) Three consecutive days with a 2-hour woodsmoke exposure at 105 µg/m3 of PM2.5 each day. Arm C) Two consecutive days of 2-hour filtered air exposures, followed by 1 day with a 2-hour woodsmoke exposure at 315 µg/m3 of PM2.5. The study arms will be separated by 4-week washout periods.
Eligibility
Inclusion criteria
* Healthy Adults between the ages of 19 to 80 (12 of each biological sex assigned at birth).
Exclusion criteria
1. Current smoker (within six months before screening; potential to confound exposure effects). 2. History or current diagnosis of any respiratory conditions (including, but not limited to asthma or chronic obstructive pulmonary disease (COPD), asthma/COPD overlap) or other medical conditions that the study physician determines may impact participant safety. 3. Any comorbidities or other concerns identified by the study physician which may impact study participation. 4. For participants of child-bearing potential: Current pregnancy, or plans to become pregnant during study enrolment.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Effects of PM2.5 exposures and concentration on exhaled nitric oxide. | Comparison of the different arms over the span of 4 months. | Measurement of fractional exhaled nitric oxide (FeNO). |
| Effects of PM2.5 exposures and concentration on Cambridge Neuropsychological Test Automated Battery (CANTAB) | Comparison of the different arms over the span of 4 months. | Computational testing using CANTAB to determine e.g. 5-choice reaction time and percent correct all delays. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Effects of PM2.5 exposures and concentration on sputum cell numbers. | Comparison of the different arms over the span of 4 months. | Differentially count sputum cells. |
| Effects of PM2.5 exposures and concentration on brain functional connectivity. | Comparison of the different arms over the span of 4 months. | Resting-state functional MRI (rs-fMRI) will assess functional connectivity within the default mode network (DMN) using a seed-based approach. Preprocessing will follow established neuroimaging methods. Functional connectivity will be determined as temporal correlations between blood-oxygen-level-dependent (BOLD) signal time series from a posterior cingulate cortex seed and DMN regions, using group-level statistical models. |
| Effects of PM2.5 exposures and concentration on oxidative stress. | Comparison of the different arms over the span of 4 months. | Assessment of oxidative stress using H2DCFDA. |
| Effects of PM2.5 exposures and concentration on lung inflammatory markers. | Comparison of the different arms over the span of 4 months. | An inflammation matrix will be generated, including data from RNA and protein inflammatory markers (e.g. interleukins (IL)-1ß, 4, 5, 6, 8, 9, 13, 17, 25 and 33, IFN., CSF1, TSLP, CC16/SCGB1A1 and c-reactive protein). |
| Effects of PM2.5 exposures and concentration on lung imaging. | Comparison of the different arms over the span of 4 months. | The lungs will be imaged with hyperpolarized 129Xe gas to measure ventilation defect percent, membrane-to-gas ratio and red blood cell-to-gas ratio. These measures will be standardized and averaged to generate a single composite lung function imaging score per participant. |
| Effects of PM2.5 exposures and concentration on circulating brain-derived biomarkers of neuroinflammation. | Comparison of the different arms over the span of 4 months. | Analysis of circulating brain-derived biomarkers of neuroinflammation using the NULISAseq CNS Diesease Panel 120. |
| Effects of PM2.5 exposures and concentration on neutrophil extracellular traps (NETs). | Comparison of the different arms over the span of 4 months. | Analysis of counts of neutrophil extracellular traps (NETs). |
| Effects of PM2.5 exposures and concentration on host defence proteins. | Comparison of the different arms over the span of 4 months. | Host defense peptides matrix, from e.g. alpha defensin-1, S100A7 and cystatin-SA. |
| Effects of PM2.5 exposures and concentration on DNA methylation. | Comparison of the different arms over the span of 4 months. | Measurement of DNA methylation after exposures and determination of epigenetic age. |
| Effects of PM2.5 exposures and concentration on glia-derived extracellular vesicles. | Comparison of the different arms over the span of 4 months. | Glia-derived extracellular vesicles will be measured in circulating blood using nanoflow cytometry-based direct labelling. |
Contacts
University of British Columbia