The Effect of Seasonal Priming on Specific Inhalation Challenges With Birch and Grass Allergen Among Persons With Allergic Rhinitis

Objectives: Allergic diseases are prevalent in the working population, and work-related airborne pollen exposure might be substantial, especially among outdoor workers, resulting in work-exacerbated effects. Seasonal exposure to pollen may induce a priming effect on the allergic bronchial response resulting in exaggerated effects at the end of the natural pollen season. This was previously observed among people with asthma but may also be of importance for persons with allergic rhinitis. In this study, we examined the effect of seasonal priming on bronchial responsiveness among young adults with allergic rhinitis and no or mild asthma. In addition, we explored the association between the baseline characteristics of participants and the severity of bronchoconstriction. Finally, we evaluated the application of a novel non-linear regression model to the log-dose-response curves.

Material and methods: In a crossover design, 36 participants underwent specific inhalation challenges (SICs) with either grass or birch allergen outside and at the end of the pollen season. The differences in bronchial response were evaluated by comparing the dose-response profiles and PD₂₀ estimates derived by applying a non-linear regression model.

Results: The results showed that 12 of the 19 grass pollen-exposed participants had a lower PD₂₀ at the end of the season compared with the outside season. For birch, this was true for nine out of the 17 participants. However, no statistically significant effects of the seasonal pollen exposure were found on neither the shape nor the magnitude of the modeled dose-response curves for either birch allergen, p = 0.77, or grass allergen, p = 0.45. The model depicted a good fit for the data. Among the baseline characteristics, only the size of the skin prick test for grass allergen was associated with PD₂₀.

Conclusion: This study does not support a priming effect of pollen exposure on the bronchial response from the natural seasonal exposure levels of grass or birch allergens among young adults with allergic rhinitis.

Article Summary

Article Focus

– To study the priming effect of seasonal pollen exposure, relevant for outdoor occupations, on the bronchial responsiveness of persons with allergic rhinitis using a specific inhalation challenge (SIC) test.

Key Messages

– This study does not support a priming effect of seasonal exposure of pollen on the bronchial response of persons with allergic rhinitis.

– Increased size of skin prick test for grass predicted stronger bronchial responsiveness for grass allergen.

– Future studies of the priming effect of seasonal exposure should focus on the impact of IgE-levels and the response patterns.

Strengths and Limitations of This Study

– This is the first study to comprehensively examine the effect of the priming effect of seasonal pollen exposure on bronchial responsiveness using the SIC test on persons with allergic rhinitis.

– The application of a four-parameter model for PD₂₀-estimates presents a new approach that includes more information than in the prior methods.

– The study did not include late response after the SIC test for the birch and grass allergens.

– An analysis of the impact of the severity of rhinitis would be interesting. However, the data on severity were not included in the present analysis and this data should be included in future similar studies.

Introduction

Allergic diseases are prevalent in the working population, and the burden of work-related airborne pollen exposure might be substantial, especially among outdoor workers, resulting in work-related effects. Allergic rhinitis caused by or exacerbated by occupational pollen exposure is described in the literature, but the documentation is limited (1, 2). Both the health effects and the economic costs depend strongly on the combined total exposure and severity of the symptoms. One of the factors affecting this is “the priming effect,” a mechanism where repeated exposures to an antigen induce increased responses at similar exposure levels. For pollen allergy, the priming effect was first demonstrated for nasal symptoms (3). Later studies on the priming effect have included both the experimental challenges of repeated doses (4, 5) and the effect of the natural season (6, 7), exploring, for example, the symptom scores (8, 9), the nasal cells, and the bronchial response (10).

Remarkably there are, to the knowledge of the author, no recent studies published specifically on the seasonal priming effect, despite the inconsistency in the previous findings, and that further studies are warranted.

Occupational rhinitis is mentioned by the European Academy of Allergy & Clinical Immunology (EAACI) task force as “a disease of emerging relevance, which has received less attention compared with occupational asthma (11).” Generally, the majority of the studies on the bronchial response are performed on persons suffering from asthma. In the current study, we, therefore, chose to examine the bronchial response in the participants with allergic rhinitis, with no or only mild bronchial symptoms during the pollen season. According to the theory of “one airway, one disease” and the “united airway” (12, 13), these patients could also be expected to have increased bronchial response due to priming. However, this has not been explored in the previous studies.

The majority of studies on bronchial response to allergen exposures, apply measurements of the allergen dose eliciting a drop of e.g., 20% in forced expired volume in the first second (FEV₁), the PD₂₀, as a proxy for the degree of responsiveness. PD₂₀ is estimated by linear interpolation between the two doses eliciting a drop below and above 20% on a logarithmic dose-response curve, although the response pattern is rarely linear. In this study, we wanted to examine the use of a non-linear regression model, to fit the log-dose-response curve and apply this in the estimate of the PD₂₀ value.

This human exposure study aimed to evaluate the priming effect of natural seasonal allergen exposure level on the bronchial response in allergic rhinitis participants with none or mild asthmatic symptoms. We hypothesize that bronchoconstriction during specific allergen challenges is larger at the end of the natural pollen season, compared with the outside pollen season. The effect on the severity of bronchoconstriction is evaluated by applying a novel non-linear regression model to estimate PD₂₀ from the log-dose-response curves. Furthermore, we wanted to assess the association between the baseline characteristics of the participants and the size of PD₂₀.

Materials and Methods

Pollen

The pollen levels are recorded by the consumer organization Asthma Allergy Denmark at two sites in Denmark; Viborg and Copenhagen and measured according to the recommendations by the European Aerobiological Society (10, 12, 13).

Study Participants

The potential study participants with self-reported allergic rhinitis were recruited following an open invitation (a stand in the local cafeteria) among the students at Aarhus University, Denmark, and skin prick testing (SPT) was performed to confirm the sensitization. The SPT was performed for grass (Phleum pratense), birch (Betula verrucose), artemisia, horse, dog, cat, house dust mites (HDM; Dermatophagoides pteronyssinus and Dermatophagoides farina), and fungal spores (Cladosporium herbarum and Alternaria alternaria). In this study, 92 persons were initially tested, and 36 participants with a positive SPT > 3 mm to grass or birch were recruited. No statistically significant difference in the weal size was found between those included in the study and those who decided not to participate. Of the 36 included, 17 underwent specific inhalation challenges (SICs) with birch allergen, and the remaining 19 participants underwent SIC with grass allergen (Table 1; Appendix 1). All the participants exposed to birch allergen, also had a positive SPT toward the grass, however, as all “out-of-season” exposures were performed far before the onset of the grass pollen season, this will not affect the results. Two of the 19 participants exposed to grass, also had a positive SPT toward birch.

TABLE 1

Table 1. The study participant characteristics, mean (SD).

Twenty of the participants reported respiratory symptoms (cough, wheeze, or chest tightness) more than two times per year, and 10 reported mild asthma. Only seven of them experienced asthma symptoms more than two times per year and none of them used asthma medication. None of the participants had recent exposure to smoking or had any recent infections, and none had used antihistamines within 72 h prior to the SIC.

All the participants had an initial FEV₁ higher than 70% of the predicted and underwent a methacholine bronchial challenge test with a maximum cumulated dose of 4.51 mg.

The study was conducted in compliance with the Helsinki Declaration, and the protocol, enrollment procedure, and written consent forms were approved by the Scientific Ethics Committee for Central Denmark Region (M-20090215). Informed consent was signed by all the participants. There was no patient or public involvement in this study.

Study Design

The study was conducted as a cross-over trial and performed during the four study days. During the first 2 days, the participants underwent SPT, symptom history, medical examinations, and methacholine challenge test. On the third and fourth day, SICs were performed in a human exposure chamber, either outside or at the end of the season for birch or grass pollen. For details, see Figure 1. The out-of-season measurements were collected in two rounds. Of the 19 participants who underwent SIC with grass allergen, 13 were included in a first round study, and six participants were included in a second round study outside the grass pollen season. All rounds of SIC were included in the analysis. “Outside season SICs” were performed outside the official grass or birch pollen season, defined by the registrations from the nearest operational pollen monitoring station in Viborg 60 km away (14–16). We did not have any information on the allergies to other tree pollens. However, none of the participants reported symptoms related to these pollen types and, therefore, no allergies from these were considered.

FIGURE 1

Figure 1. Study design (above) and timeline (below), depicting the specific inhalation challenges (SICs) and the daily pollen counts measured at the operational trap in the city of Viborg (below), normalized across the 3 years and two pollen species.

Exposure Chamber

The majority of the SICs were conducted in a 79 m² human exposure chamber (17, 18) at Aarhus University, Denmark, with 1–4 participants and the three investigators situated in the chamber. The 13 initial grass SICs out of season, were performed in a smaller 33 m² chamber in conjunction with the large chamber, with participants seated in the large chamber between each SIC step. The participants were instructed to exhale in an extraction device to limit the exhalation of allergens into the chamber. Additionally, ventilation was installed in the exposure area. Airflow, temperature, humidity, and CO₂ were measured every 60 s. The chambers were provided with filtered air at 22.5°C (SD 0.5°C) and humidity of 42.0% (SD 3.0%).

Specific Inhalation Challenges

The allergen extracts were provided by ALK-Abelló (Hørsholm, Denmark) containing 100,000 SQ-U/ml of P. pratense (Phl p 5) or B. verrucose (Bet v 1). Solutions of increasing doses from 1.4 to 5,600 SQ-U were administered with a Spira Dosimeter nebulizer (Spira, Hämeenlinna, Finland) and FEV₁ was measured with a handheld MicroDL spirometer (Micro Medical Limited, Rochester, UK) connected to a computer, where all data were logged. The SICs with aerosolized allergen were performed according to the procedure outlined in Figure 2. The doses were administered at 15 min intervals and considered to be cumulative as in the previous similar studies (19, 20). The total duration of the SICs were between 45 min and 2.5 h depending on the number of exposures required. FEV₁ was measured 15 min after each inhalation as the best of three consecutive measurements. Baseline FEV₁ was measured after inhalation of diluent. The applied protocol was developed to consider the prevention of exhaustion and, therefore, limiting the steps of the challenges.

FIGURE 2

Figure 2. Protocol for the SICs. The administered dose is dependent on the magnitude of the drop in forced expired volume in the first second (FEV₁) induced by the previous dose, resulting in either one step or one level increase in dose.

After the SIC, the participants measured their FEV₁ every 15 min for the first hour and thereafter hourly in the laboratory and later at home until bedtime for late phase responses, as a safety measure.

Statistical Analysis

A natural log transformation of the administered dose of allergen concentrations was applied similar to other studies (4, 6, 7, 21, 22).

Bronchial hyperresponsiveness has been previously shown to depict a non-linear shape of the log-dose-response curves for the normal non-asthmatic participants (23, 24). We, therefore, fitted a non-linear regression model in the shape of a four-parameter logistic curve to the FEV₁ data using the log cumulative dose as an independent variable:

$\begin{array}{l}FEV1(x)=a+\frac{b-a}{1+exp\frac{c-x}{d}}\end{array}$

where x is the log cumulative dose, a is baseline FEV₁, b is FEV₁ at maximal log cumulative dose, c is the log cumulative dose corresponding to half the decrease in FEV₁ (the inflection point), and d is a scaling parameter. The repeated measurements for each participant were taken into account by including random subject, and season (yes/no) within the subject effects, for each of the four parameters describing the FEV₁-curve. The model validation was performed by inspecting the plots of observed and fitted FEV₁-values against the cumulative dose and QQ residual plots.

Allergen responsiveness was defined as the natural logarithm to the cumulative dose of allergen theoretically eliciting a 20% drop in the baseline FEV₁ (PD₂₀). PD₂₀ was estimated from the logistic model that included all the FEV₁ observations, and not only the FEV₁ responses to the last two doses administered, as in the previous studies.

The association between PD₂₀ and the baseline characteristics of the study population was investigated using a linear regression model that included random subjects, and season (yes/no) within the subject effects, with PD₂₀ on a logarithmic scale. The comparisons were performed using post-hoc t-tests based on the non-linear mixed effects regression analysis.

All the results were obtained using the nlme package in the R Programming Environment for Data Analysis and Graphics, Version 3.2.3 (25). A statistical significance was set at p = 0.05.

Results

Pollen Seasons

The natural seasonal pollen exposure during the study period was largely comparable with the 30-year average seasons in both the progress and magnitude. The grass pollen season in 2010 was marginally shorter and more intense than normal. In 2011, the birch pollen season was slightly less intense and ended slightly earlier than normal. Due to a data break in 2012, birch pollen was only recorded in Copenhagen. These indicated a normal season, although ending slightly abrupt due to cold weather in May. The yearly total grass pollen count for Viborg was 2,278 in 2010 and 2,097 in 2011. For birch pollen, the count was 3,585 in 2011 and not listed in 2012. This was lower than the counts for Copenhagen, 6,037 birch pollen. However, a nearby birch forest is leading to generally much higher counts at this site.

The normalized pollen concentrations are shown in Figure 1.

Airway Responsiveness to Methacholine

A total of 44% of the subjects had a positive methacholine provocation, seven participants in each group. The modeled methacholine PD₂₀ estimate for all the participants was 4.4 (95%-CI: 2.8; 6.8) mg methacholine bromide. No systematic errors in the residuals were seen.

SIC for Grass and Birch Allergen

Eight of the 85 SICs were completed without the maximum dose administered or a 20% drop in FEV1 reached. No significant differences in the baseline FEV₁ were seen between SICs outside the season and at the end of the season (birch, p = 0.98; grass, p = 0.91). Additionally, it was seen that 82% and 74% of the SICs at end of the season dropped more than 20% in FEV₁ for birch or grass respectively; the numbers were 82% and 78% for SICs outside the seasons.

The four-parameter logistic model showed a good fit to the measured data (Figures 3A,B). No systematic errors in the residuals were seen. Individual PD₂₀ estimates were modeled for all SICs, assuming both (1) no difference between exposure times (out of season and seasonal), and (2) allowing for a difference between the exposure times. No significant difference between the two models was found (birch, p = 0.30; grass, p = 0.39), indicating no significant influence of the seasonal priming effect.

FIGURE 3

Figure 3. (A left + B right) Individual modeled dose-response profiles for the 17 participants challenged with birch allergen (left) and the 19 challenged with grass allergen (right). The numbers indicate the individual IDs of participants. Thirteen of the grass participants were challenged two times outside the season. (C left + D right) Individual PD₂₀ estimates for challenges “out of season” and at the end of “season.” Estimates are shown for the 17 participants challenged with birch (left) and the 19 challenged with grass allergen (right). The numbers indicate the individual IDs of participants.

Individual PD₂₀ estimates for “out of season” and “season” SICs are shown in Figures 3C,D. For grass, 12 of the 19 participants required more allergen to drop 20% in FEV₁ outside the season. For birch, this was true for nine of the 17 participants. The PD₂₀ estimates (95% CI) based on all SICs for birch were 889 (494; 1599) SQ-U outside the season and 840 (464; 1519) SQ-U at the end of the season. For grass, PD₂₀ estimates are 1020 (512; 2031) SQ-U outside the season and 792 (400; 1564) SQ-U at the end of the season. The PD₂₀ estimate for the grass was associated with a 22% (−59; 48%) smaller dose at the end of the season for grass participants, and a 7% (−36; 36%) smaller dose by the end of the season for birch participants. However, the differences between season and outside the season were not statistically significant for either allergen (birch, p = 0.77; grass, p = 0.45).

The modeled dose-response curves (FEV₁/log cumulated dose of allergen) are shown in Figure 4 with indications of the modeled PD₂₀ estimates. No significant differences in the shape or magnitude of the curves were seen between the “out of season” and “season” SICs.

FIGURE 4

Figure 4. The modeled log-dose-response curves with 95% CI. The vertical lines indicate the modeled PD₂₀ estimates.

Associations Between the Baseline Characteristics and PD₂₀

As no statistically significant effect of season was seen on the PD₂₀ estimates, the analysis on associations between the baseline characteristics (methacholine PD₂₀, SPT, number of allergies, and baseline FEV₁) of the participants and allergen PD₂₀, was performed on a combined dataset that included both birch and grass allergens. Only the size of the SPT for participants with grass allergy showed a clear and significant association with allergen PD₂₀. On average, a 1 mm larger reaction in the skin prick test was associated with a 26% lower PD₂₀ (Table 2).

TABLE 2

Table 2. The associations between the baseline characteristics for the two participants groups (birch and grass), and Allergen-PD₂₀, Methacholine-PD₂₀, size of SPT, number of positive SPT, and baseline forced expired volume in the first second (FEV₁).

Discussion

In this study, we could not confirm a priming effect of neither grass nor birch pollen, the dominant pollen exposures for outdoor occupations, among the persons with allergic rhinitis and no or mild asthma. This was true for both the shape and the magnitude of the modeled dose-response curves, as well as for PD₂₀ for both the grass and birch allergens. Among the baseline characteristics, only the size of the skin prick test for grass allergen was significantly positively associated with PD₂₀. The model depicted a good fit for the data.

Although only seven of the 36 participants reported more than the mild asthmatic symptoms a few times a year, ~80% of the SICs resulted in a reduction of more than 20% in FEV₁. This is consistent with the theory of the “United airway,” and our assumption of an allergic bronchial response in the rhinitis participants. The modeled individual PD₂₀ estimates were lower by the end of the season for 12 of the 19 grass participants, and the overall PD₂₀ estimate was associated with a 24% decline in dose. For birch, nine of the 17 participants had a lower PD₂₀ by the end of the season, and the overall PD₂₀ estimate was associated with a 6% smaller dose. Although none of the differences were statistically significant, the results for the grass participants indicated a lower tolerance by the end of the season, and a potential priming effect of the seasonal exposure.

The wide 95%-CI intervals indicate that future studies should include a larger number of participants and/or more homogeneous experimental settings to reduce the effect of random variation.

The differences in the effect of pre-priming induced by homologous pollen types (26), could also serve as an explanation for the tendency for a difference between the response in grass and birch pollen SICs. This could be an issue for those suffering from birch allergies since many of the early spring flowering trees have homologous allergens and often induce cross-reactivity. In this study, we did not have SPT or IgE results for any of these allergens. Although none of the participants report symptoms related to these tree pollen, pre-priming could still occur if sensitization is present, since the exposure to low doses of the allergen, not eliciting symptoms, may still cause bronchial inflammation and increase responsiveness (5, 27). However, this is not expected to impact the results, and the effects can be assumed to be minor.

The natural priming exposure of birch pollen may have been blunted in 2012, when the concentrations fell slightly more abruptly than normal, due to cold weather. This resulted in difficulties in planning in relation to the pollen season, and two of the “end of season SICs” with birch allergen in 2012 were not performed until 3 weeks after the season. The effect of priming by repeated exposures has previously been seen to almost vanish 3–6 weeks after the exposures (5), and therefore, we cannot be sure that the two late challenges were affected by the seasonal priming. Another issue related to the timing was one out-of-season SIC performed shortly before the start of the season, and this person is, therefore, at risk of having been pre-primed by the low pre-season concentrations. This is especially a risk for birch pollen, where long distance transported pollen, may arrive before the local season starts (28). Two of the participants challenged with grass allergen also had a positive SPT to birch and may have been pre-primed by the seasonal exposure to birch. The lowest PD₂₀ observed for the out of season round one, maybe due to this pre-priming by the birch season. Excluding these SICs that did, however, not alter the results, and pre-priming is, therefore, not considered to have affected the results.

Both the rate and degree of symptoms could be affected by the non-specific pre-priming in participants co-sensitized to the perennial allergies (29, 30). Fourteen birch participants and seven grass participants in this study were also sensitized to HDM. Only half of the participants with positive SPT to HDM experienced symptoms from this, however, sensitization alone could still affect the pre-priming. An assessment of the differences in individual PD₂₀-estimates for grass participants out-of-season challenges showed a 3-fold increase of the PD₂₀-estimates for the seven participants with HDM sensitization, compared with the 12 without (p = 0.06), as well as 15 times larger difference in PD₂₀ between the season and out-of-season. This strongly indicates that there was no separate priming effect of this sensitization on the bronchial response in this study.

The applied protocol was developed to consider the prevention of exhaustion and, therefore, limiting the steps of the challenges. This resulted in 8 SICs completed without the maximum dose administered or a 20% drop in FEV₁ reached. Although most of the participants experienced a 20% or greater drop in FEV₁ during the SICs and many of the remaining were non-respondent at all challenges, some may also have a response if the maximum dose had been administered.

The model demonstrated a good fit to data and a suitable method for producing the PD₂₀ estimates and the modeling log dose-response curves. This method allows for all information on the dose-response pattern to be included in the calculation of the PD₂₀-estimate, and not solely on the individual response to the last two doses administered, as in the previous studies. Although the individual differences were apparent, the modeled dose-response curve based on all the SICs indicated similar response patterns for both the allergens and exposure times. To the knowledge of the author, this has not been shown previously. We believe that the method shows great potential, however, it should be replicated in other similar studies before conclusions can be made.

The previous studies examining the effect of seasonal exposure on the bronchial response of allergens are heterogeneous in methods, measures of effects as well as in results, and the results are inconsistent. Dente et al. (7) found a significant 3-fold decrease in PD₂₀ for asthmatics in the grass pollen season compared with the outside season, but only for those having a dual response, i.e., both early airway response (EAR) and late airway response (LAR). Paggiaro et al. (22) also found a 3-fold decreased PD₁₅ during the grass pollen season in the asthmatic participants, compared with the outside the season, but only for those who shifted from an EAR+LAR response outside the season to an EAR within the season. No consistent measurements of LAR were conducted in the current study, where the focus was on EAR, however, future studies should also include this measure. From the theory of “one airway, one disease” and the “United airway” (12, 13), it was our hypothesis, that the participants with allergic rhinitis symptoms, would also show an increased bronchial response to allergen due to priming. Even though we did see a tendency to a priming effect among the grass-sensitized participants, the results were far from statistically significant.

The priming effect has been expressed previously in the terms of increased non-specific bronchial hyper-responsiveness for both the seasonal and repeated administered allergen doses for different subgroups of study populations. De Bruin-Weller et al. (4) found a significant priming effect, but only for those having high non-specific bronchial hyper-responsiveness. Ihre and Zetterstom (5) found a priming effect for the subgroup with a high IgE level, and Dente et al. (7) found the increased bronchial response to methacholine, for those with LAR outside the pollen season. All these studies were, however, performed on the asthmatic participants. There are some studies, which find a general increased non-specific bronchial hyperresponsiveness during the season in their entire study population, and also in the mixed groups, such as non-asthmatics. A study by Crimi et al. (6) found a significant increase in both EAR and LAR following natural seasonal exposure for all the participating patients with inhalant allergy by birch pollen and suggests a correlation with increasing IgE as a part of the mechanism, and Walker et al. (31) found a significant decrease in methacholine PD₂₀ during the pollen season for all the tested patients. Madonini et al. (32) found significantly lower carbachol-PD₂₀ in the season than the outside season in 27 grass atopic participants without asthma, and generally a larger priming effect in those who had a positive response outside season. All the studies were performed on the participants with no HDM sensitization and, therefore, no risk of pre-priming.

The size of SPT for grass sensitization was the only baseline characteristic associated with PD_20. We did not find a similar association for birch SPT and this may be due to the on average smaller wheal sizes for this allergen and, therefore, less variability in the measurements. These findings are consistent with the previous studies (22, 33).

We expected to find an association between allergen PD₂₀ and baseline unspecific bronchial responsiveness to methacholine. A study by De Bruin-Weller et al. (4) found significantly higher non-specific bronchial responsiveness following allergen exposure, and a significant correlation of this with baseline non-specific bronchial responsiveness, but only in the participants with high baseline histamine PD₂₀. This could indicate that the association may be blunted for those who are strongly responsive. Another study by Barnig et al. (34) also found an association between the grass allergen PD₂₀ and methacholine reactivity. The lack of such a finding in our study may be due to the fact that only 44% of our participants had a positive methacholine provocation test.

Despite pollen exposure is greatly increased for those with outdoor occupations, only few studies on occupational pollen exposure and rhinitis are available. The current results do not support that the workers are more prone to severe symptoms late compared with early in the pollen season. For bell pepper pollen, the rhinitis symptoms mostly develop within the first 2–3 years after exposure onset (2). However, as pollen exposure is high in the environment in general and not only within the occupational setting, the occupational contribution can be difficult to disentangle. It is also important to note that this study was performed among university students and that the average outdoor worker can be assumed to be both older and from a lower socioeconomic class. This could potentially give a difference in the overall health condition. Furthermore, it can be speculated, the outdoor occupation would not be chosen, by those suffering from severe and prolonged pollen allergy. Therefore, our results may not directly be representative of the outdoor workers.

Conclusion

In this study, we could not confirm a priming effect of neither grass nor birch pollen among the individuals with allergic rhinitis and no or mild asthma although we did see a tendency to lower PD₂₀ by the end of the season among the participants with allergic rhinitis. The size of the SPT for grass at baseline was inversely associated with allergen PD₂₀. The modeled dose-response profiles showed a good fit for data.

The current study presents a strong method for determining PD₂₀ estimates. Further studies are needed to replicate the results and present representative estimates for other (age and socioeconomic) groups with allergic rhinitis and only mild or no allergic asthma, a large and previously not frequently studied patient group. The study confirms that the priming effect is not an important factor for the magnitude of the allergic reaction in all the patients. However, the study was not powered to analyze the impact of different endotypes and did not systematically evaluate LAR. In future studies, the priming effect of seasonal exposure should focus on the impact of IgE levels, response pattern, and the level of non-specific bronchial responsiveness.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the Scientific Ethics Committee for the Central Denmark Region (M-20090215). The participants provided their written informed consent to participate in this study.

Author Contributions

BB mainly contributed to the statistical analysis and PR to the experimental setup. PØ, JB, and VS performed the data analysis and wrote the first manuscript draft. All the authors have provided substantive contributions in study design, data collection, interpretation of results, revising the article critically for important intellectual content, and final approval of the version to be published.

Funding

This study was fully funded by Aarhus University, Denmark. PØ was supported by BERTHA—the Danish Big Data Centre for Environment and Health funded by the Novo Nordisk Foundation Challenge Programme (grant NNF17OC0027864) during the completion of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The handling editor declared a shared affiliation, though no other collaboration with the authors at the time of the review.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The Danish Asthma Allergy Association is acknowledged for providing background pollen data for the study period. The Aarhus University Research Foundation (AUFF) has supported the project through initial network funding. We would also like to greatly acknowledge the work and expertise of technical staff Vibeke Heitmann Gutzke and Tine Lykke Bank on the chamber studies.

References

1. Vandenplas O, Hox V, Bernstein D. Occupational Rhinitis. J Allergy Clin Immunol Pract. (2020) 8:3311–21. doi: 10.1016/j.jaip.2020.06.047

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Patiwael JA, Jong NW, Burdorf A, Groot H, Gerth Van Wijk R. Occupational allergy to bell pepper pollen in greenhouses in the Netherlands, an 8-year follow-up study. Allergy. (2010) 65:1423–9. doi: 10.1111/j.1398-9995.2010.02411.x

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Connell JT. Quantitative intranasal pollen challenge. J Allergy. (1968) 41:123–39. doi: 10.1016/0021-8707(68)90053-1

PubMed Abstract | CrossRef Full Text | Google Scholar

4. De Bruin-Weller M, Weller FR, Rijssenbeek-Nouwens IHM, Jansen HM, Monchy Jd. Allergen-induced changes in airway responsiveness are related to baseline airway responsiveness. Allergy. (1996) 51:401–6. doi: 10.1111/j.1398-9995.1996.tb04637.x

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Ihre E, Zetterstrom O. Increase in non-specific bronchial responsiveness after repeated inhalation of low doses of allergen. Clin Exp Allergy. (1993) 23:298–305. doi: 10.1111/j.1365-2222.1993.tb00326.x

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Crimi E, Voltolini S, Gianiorio P, Orengo G, Troise C, Brusasco V, et al. Effect of seasonal exposure to pollen on specific bronchial sensitivity in allergic patients. J Allergy Clin Immunol. (1990) 85:1014–9. doi: 10.1016/0091-6749(90)90045-6

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Dente FL, Bacci E, Di Franco A, Giannini D, Vagaggini B, Paggiaro P. Natural exposure to pollen reduces the threshold but does not change the pattern of response to the allergen in allergic subjects. Respir Med. (2000) 94:1073–8. doi: 10.1053/rmed.2000.0907

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Grammer L, Wiggins C, Shaughnessy MA, Chmiel J. Absence of nasal priming as measured by rhinitis symptom scores of ragweed allergic patients during seasonal exposure to ragweed pollen. OceanSide Publ. (1990) 11:243–6. doi: 10.2500/108854190778879819

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Jacobs RL, Harper N, He W, Andrews CP, Rather CG, Ramirez DA, et al. Effect of confounding cofactors on responses to pollens during natural season versus pollen challenge chamber exposure. J Allergy Clin Immunol. (2014) 133:1340–6. doi: 10.1016/j.jaci.2013.09.051

PubMed Abstract | CrossRef Full Text | Google Scholar

10. de Bruin-Weller MS, Weller FR, De Monchy JGR. Repeated allergen challenge as a new research model for studying allergic reactions. Clin Exp Allergy. (1999) 29:159–65. doi: 10.1046/j.1365-2222.1999.00434.x

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Moscato G, Vandenplas O, Van Wijk RG, Malo JL, Perfetti L, Quirce S, et al. EAACI position paper on occupational rhinitis. Respir Res. (2009) 10:16. doi: 10.1186/1465-9921-10-16

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Grossman J. One airway, one disease. CHEST J. (1997) 111(2_Suppl.):11S–6. doi: 10.1378/chest.111.2_Supplement.11S

CrossRef Full Text | Google Scholar

13. Feng CH, Miller MD, Simon RA. The united allergic airway: connections between allergic rhinitis, asthma, and chronic sinusitis. Am J Rhinol Allergy. (2012) 26:187. doi: 10.2500/ajra.2012.26.3762

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Sommer J, Rasmussen A. Pollen and sporemålinger i Danmark, sæsonen 2012/Pollen and spore measurements in Denmark. Season 2012. Copenhagen: Asthma Allergy Denmark & Danish Meteorological Institute (2012).

15. Sommer J, Rasmussen A. Pollen and Sporemålinger i Danmark. Sæsonnen 2011. /Pollen and spore measurements in Denmark. Season 2011. Astma Allergi Danmark. Copenhagen: Asthma Allergy Denmark & Danish Meteorological Institute (2011).

16. Sommer J, Rasmussen A. Pollen and sporemålinger i Danmark, sæsonen 2010/Pollen and spore measurements in Denmark. Season 2010. Copenhagen: Asthma Allergy Denmark & Danish Meteorological Institute (2010).

17. Riddervold IS, Bønløkke JH, Mølhave L, Massling A, Jensen B, Grønborg TK. Wood smoke in a controlled exposure experiment with human volunteers. Inhal Toxicol. (2011) 23:277–88. doi: 10.3109/08958378.2011.567401

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Kenney P, Bønløkke J, Hilberg O, Ravn P, Schlünssen V, Sigsgaard T. Method for a homogeneous distribution of pollens in an environmental exposure chamber. Clin Exp Allergy. (2016) 46:1176–84. doi: 10.1111/cea.12747

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Kehrl HR, Peden DB, Ball B, Folinsbee LJ, Horstman D. Increased specific airway reactivity of persons with mild allergic asthma after 7.6 hours of exposure to 0.16 ppm ozone. J Allergy Clin Immunol. (1999) 104:1198–204. doi: 10.1016/S0091-6749(99)70013-8

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Weersink EJM, Postma DS, Aalbers R, De Monchy JGR. Early and late asthmatic reaction after allergen challenge. Respir Med. (1994) 88:103–14. doi: 10.1016/0954-6111(94)90021-3

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Crimi E, Gianiorio P, Orengo G, Voltolini S, Crimi P, Brusasco V. Late asthmatic reaction to perennial and seasonal allergens. J Allergy Clin Immunol. (1990) 85:885–90. doi: 10.1016/0091-6749(90)90073-D

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Paggiaro P, Dente FL, Talini D, BacciI E, Vagaggini B, Giuntini C. Pattern of airway response to allergen extract of phleum pratensis in asthmatic patients during and outside the pollen season. Respiration. (1990) 57:51–6. doi: 10.1159/000195819

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Woolcock AJ, Salome CM, Yan K. The shape of the dose-response curve to histamine in asthmatic and normal subjects 1, 2. Am Rev Respir Dis. (1984) 130:71–5.

Google Scholar

24. O'Byrne PM, Inman MD. AIrway hyperresponsiveness^*. Chest. (2003) 123(3_suppl.):411S–6. doi: 10.1378/chest.123.3_suppl.411S

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Pinheiro J, Bates D. Mixed-effects models in S and S-PLUS. Berlin: Springer Science and Business Media (2006).

Google Scholar

26. de Weger LA, Bergmann KC, Rantio-Lehtimäki A, Dahl Å, Buters J, Déchamp C, et al. Impact of Pollen. Allergenic Pollen. https://www.google.com/search?sxsrf=AOaemvLDvaC4Hbmbk0lQiP83IspgWlX1zQ:1632641094663&q=Berlin&stick=H4sIAAAAAAAAAONgVuLQz9U3MDQ1K1zEyuaUWpSTmQcAUzZQwhUAAAA&sa=X&ved=2ahUKEwiDvviDjpzzAhXWdn0KHY-hDLwQmxMoAXoECDkQAw Berlin: Springer (2013), p. 161–215.

Google Scholar

27. Ihre E, Axelsson IGK, Zetterström O. Late asthmatic reactions and bronchial variability after challenge with low doses of allergen. Clin Exp Allergy. (1988) 18:557–67. doi: 10.1111/j.1365-2222.1988.tb02907.x

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Skjoth CA, Sommer J, Stach A, Smith M, Brandt J. The long-range transport of birch (Betula) pollen from Poland and Germany causes significant pre-season concentrations in Denmark. Clin Exp Allergy. (2007) 37:1204–12. doi: 10.1111/j.1365-2222.2007.02771.x

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Caillaud DM, Martin S, Segala C, Besancenot JP, Clot B, Thibaudon M. Nonlinear short-term effects of airborne Poaceae levels on hay fever symptoms. J Allergy Clin Immunol. (2012) 130:812–4. doi: 10.1016/j.jaci.2012.04.034

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Ellis AK, Ratz JD, Day AG, Day JH. Factors that affect the allergic rhinitis response to ragweed allergen exposure. Ann Allergy Asthma Immunol. (2010) 104:293–8. doi: 10.1016/j.anai.2010.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Walker SM, Pajno GB, Lima MT, Wilson DR, Durham SR. Grass pollen immunotherapy for seasonal rhinitis and asthma: a randomized, controlled trial. J Allergy Clin Immunol. (2001) 107:87–93. doi: 10.1067/mai.2001.112027

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Madonini E, Briatico-Vangosa G, Pappacoda A, Maccagni G, Cardani A, Saporiti F. Seasonal increase of bronchial reactivity in allergic rhinitis. J Allergy Clin Immunol. (1987) 79:358–63. doi: 10.1016/0091-6749(87)90156-4

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Cockcroft DW, Murdock KY, Kirby J, Hargreave F. Prediction of airway responsiveness to allergen from skin sensitivity to allergen and airway responsiveness to histamine. Am Rev Respir Dis. (1987) 135:264–7.

PubMed Abstract | Google Scholar

34. Barnig C, Purohit A, Casset A, Sohy C, Lieutier-Colas F, Sauleau E, et al. Nonallergic airway hyperresponsiveness and allergen-specific IgE levels are the main determinants of the early and late asthmatic response to allergen. J Investig Allergol Clin Immunol. (2013) 23:267–74. Available online at: http://www.esmonformacion.com/jiaci/issues/vol23issue4/8.pdf

PubMed Abstract | Google Scholar

Appendix 1

TABLE A1

Table A1. Sensitization profiles for all study subjects.