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Record W4408624119 · doi:10.1111/all.16527

Wildfires and Respiratory Allergy

2025· editorial· en· W4408624119 on OpenAlexaboutno aff
Gennaro D’Amato, Ioana Agache, Kari C. Nadeau, Vanitha Sampath, Cezmi A. Akdiş, Isabella Annesi‐Maesano

Bibliographic record

VenueAllergy · 2025
Typeeditorial
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsRespiratory allergyAllergyMedicineRespiratory systemImmunologyIntensive care medicineDermatologyAllergenInternal medicine

Abstract

fetched live from OpenAlex

The Los Angeles wildfire is a critical reminder of the respiratory effects of wildfire smoke exposure. Bush, vegetation, forest, and grass fires are widely prevalent around the world, and their incidence and severity are increasing. Their cause may be deliberate or accidental in relation to global warming. Wildfires are strongly associated with the incidence of drought and heat waves, whose occurrence and intensity are accelerated by climate change [1-5]. In Europe, there are on average 70,000 forest fires annually, especially common in countries with warmer climates such as Portugal, Italy, Greece, and France [1]. Wildland fires release a complex mix of air pollutants in large quantities, often in an intense and uncontrolled manner. During the last wildfires near Los Angeles in December 2024 and January 2025, Air Quality Index (AQI) levels soared to 400, and in some cases exceeded 500. A “normal” or “good” AQI value typically falls within the 0–50 range, indicating minimal to no health risks for the general population. For comparison, a typical day in the region sees AQI levels around 50 or 60. An AQI higher than 301+ is considered hazardous because it is related to serious health effects; in this case, the entire population is at risk. An AQI of 400 is roughly equivalent to smoking a pack of cigarettes per day, highlighting the severe health risks posed by wildfire smoke. Wildfires emit greenhouse gases (GHG) (carbon dioxide [CO2], methane [CH4], nitrous oxide [N2O]), photochemically reactive compounds (e.g., carbon monoxide [CO], nonmethane volatile organic carbon [NMVOC], nitrogen oxides [NOx]), and ultrafine, fine, and coarse particulate matter (PM). The air quality is further impacted by the production of secondary pollutants such as ozone (O3) or secondary organic aerosols when NMVOC and NOx released by fires undergo photochemical processing [3]. Photochemical processing refers to a series of chemical reactions driven by solar radiation, which lead to the transformation of primary pollutants into more complex and hazardous secondary compounds in the atmosphere. To these, air pollutants other substances from coolant fluid, furniture, construction material, cleaning products, fiberglass, plastics, tires, and gasoline from that burn during the fire. Some of these contaminants contain metals such as lead, arsenic, and asbestos. The amount and composition of fire emissions depend on a wide range of variables related to fuel characteristics (type, structure, loading, chemistry, and moisture) and fire behavior [3]. Wildfires pollutant mix can travel long distances and impact human health. In the spring and summer of 2023, Canada experienced an unprecedented number and intensity of wildfires, particularly in Quebec and other eastern provinces. Prevailing weather patterns carried the smoke plumes southward and eastward, affecting large portions of the eastern United States. Cities like New York City, Philadelphia, and Washington D.C. experienced significant air quality degradation and a consequent increase in hospitalizations and emergency room visits. It can also cause habitat destruction, loss of biodiversity, and disruptions to ecosystems, threatening wildlife survival and altering food chains. Despite growing evidence of the health impacts of wildfires, significant research gaps remain in understanding the full extent of their effects, including long-term consequences, interactions with preexisting health conditions, and the influence of repeated exposures. Experimental studies have shown that air pollutants driven from wildfires damage the epithelial barriers, trigger the innate and adaptive inflammatory responses, induce oxidative stress, genotoxicity and epigenetic changes, apoptosis and autophagy [4-9] (Figure 1). In essence, the complex nature of wildfire smoke, combined with individual susceptibility, can lead to a mixed inflammatory response, highlighting the need for further research in this area. PM can lead to the release of pro-inflammatory mediators that attract neutrophils, resulting in neutrophilic inflammation. PM can also act as an adjuvant, which means it enhances the response to other inhaled allergens through eosinophilic inflammation. Fire combustion byproducts have been shown to act as adjuvants, enhancing the immune response to allergens and increasing allergic sensitization. In patients with asthma, sputum eosinophils might increase. High-intensity exposure to wildfire smoke can also alter host immune system function in general. Among others, this makes individuals more prone to prolonged allergic reactions. These translate into airway hyperreactivity and neutrophilic and eosinophilic inflammation in the airways [5]. Finally, recurrent exposure to wildfire pollutants has been linked to heightened allergic responses, potentially leading to worsening asthma over time, as well as persistent airway remodeling. At the population level, wildfire effects have been evaluated through several exposure assessment methods [1] including self-reported questionnaires, routine data (number of wildfires), air quality monitoring stations, and satellite data with visibility or aerosol optical depth (AOD), etc. Aside from obvious burns and physical trauma caused by wildfires, experts warn that smoke, ash, and debris released by the fires can pose short- and long-term health risks in terms of respiratory and cardiovascular effects, neurological impacts as well as induce disruption to healthcare. Respiratory issues include respiratory symptoms like cough, phlegm, wheeze, and dyspnea, as well as asthma and chronic obstructive pulmonary disease (COPD) exacerbations, increased risk of respiratory infections, including pneumonia and reduced lung function [1, 3]. Delayed health effects have been rarely investigated. One study looking at health effects after the 2003 Canadian wildfires showed that there was a peak in respiratory consultations 5 weeks after the fires. This may be because of delayed respiratory health effects of wildfire smoke [1, 3]. Emergency Department (ED) visits for all respiratory and cardiopulmonary diagnoses were increased in the exposed counties [1, 4]. Interestingly, PM from wildfires appears to have different effects on health compared to urban PM [4, 5]. An 8-year study [4, 5] investigating air pollution levels, including those from bushfires, and hospital admissions showed that a 10 μg/m3 increase in bushfire (but not urban) PM10 was associated with a 1.24% increase in all respiratory admissions, a 3.80% increase in COPD admissions, and a 5.02% increase in adult asthma admissions. In individuals with preexisting allergic and respiratory conditions such as allergic rhinitis and asthma, wildfires may contribute to increased allergen exposure. Wildfire smoke can carry pollen, mold spores, and other aeroallergens over long distances, exacerbating allergic responses [1, 3, 8]. Fire disturbances can also lead to the release of fungal spores from burned vegetation, increasing the burden of airborne allergens. These phenomena lead to increased allergic and asthma morbidity. What can be done to mitigate the potential health sequelae of exposure to wildfire smoke? When there is a threat of wildfires due to extreme climatic conditions or an outbreak has occurred unexpectedly, there are a number of measures that can be taken by health authorities to reduce the impact of the fire upon healthy people, asthmatics, or COPD patients [1, 3-6]. These include simple public health advice on avoiding exposure and encouraging sheltering. Wearing N95 masks, evacuating air, using air filters and purifiers, and reducing GHGs are all part of adapting to and mitigating wildfires and their effects on health [9]. With the current global increase in wildfires and in the destruction of forests by deliberate burning, all health-care workers, particularly general practitioners, respiratory, and emergency physicians, need to understand more about the associated health risks and the requirements for prevention and early recognition of effects, and treatment, and a careful identification and follow-up of those exposed could help in the management process. To conclude, wildfires pose a significant threat to respiratory health, particularly for individuals with allergic airway diseases. The interplay between airborne pollutants, allergens, and immune responses highlights the need for proactive management and policy interventions to mitigate health risks in vulnerable populations [1, 3]. The authors declare no conflicts of interest. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.300
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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