No retraction, correction or concern found when last checked on Oct 26, 2026.
A Comprehensive Evaluation of Nasal and Bronchial Cytokines and Chemokines Following Experimental Rhinovirus Infection in Allergic Asthma: Increased Interferons (IFN-γ and IFN-λ) and Type 2 Inflammation (IL-5 and IL-13)
Trevor T. Hansel, Tanushree Tunstall, Maria-Belen Trujillo-Torralbo and 23 more
EBioMedicine · 2017 · CC BY
doi:10.1016/j.ebiom.2017.03.033
Abstract
Background. Rhinovirus infection is a major cause of asthma exacerbations.
Objectives. We studied nasal and bronchial mucosal inflammatory responses during experimental rhinovirus-induced asthma exacerbations.
Methods. We used nasosorption on days 0, 2–5 and 7 and bronchosorption at baseline and day 4 to sample mucosal lining fluid to investigate airway mucosal responses to rhinovirus infection in patients with allergic asthma (n = 28) and healthy non-atopic controls (n = 11), by using a synthetic absorptive matrix and measuring levels of 34 cytokines and chemokines using a sensitive multiplex assay.
Results. Following rhinovirus infection asthmatics developed more upper and lower respiratory symptoms and lower peak expiratory flows compared to controls (all P < 0.05). Asthmatics also developed higher nasal lining fluid levels of an anti-viral pathway (including IFN-γ, IFN-λ/IL-29, CXCL11/ITAC, CXCL10/IP10 and IL-15) and a type 2 inflammatory pathway (IL-4, IL-5, IL-13, CCL17/TARC, CCL11/eotaxin, CCL26/eotaxin-3) (area under curve day 0–7, all P < 0.05). Nasal IL-5 and IL-13 were higher in asthmatics at day 0 (P < 0.01) and levels increased by days 3 and 4 (P < 0.01). A hierarchical correlation matrix of 24 nasal lining fluid cytokine and chemokine levels over 7 days demonstrated expression of distinct interferon-related and type 2 pathways in asthmatics. In asthmatics IFN-γ, CXCL10/IP10, CXCL11/ITAC, IL-15 and IL-5 increased in bronchial lining fluid following viral infection (all P < 0.05).
Conclusions. Precision sampling of mucosal lining fluid identifies robust interferon and type 2 responses in the upper and lower airways of asthmatics during an asthma exacerbation. Nasosorption and bronchosorption have potential to define asthma endotypes in stable disease and at exacerbation.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 26, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Throughout life the human immune system is modulated by interactions with viruses, bacteria, and allergens. Abnormal airway mucosal inflammatory responses are a feature of asthma, and an expanding number of asthma phenotypes are now recognised at a clinical and molecular level. Since rhinoviruses are a major cause of exacerbations of asthma, it is important to monitor rhinovirus-induced mucosal immune responses.
Airway inflammation and asthma phenotypes have been defined by sputum eosinophil and neutrophil percentages, and bronchial and nasal mucosal gene expression can be used to define endotypes of asthma. However, blood eosinophil counts are generally used to monitor inflammation in severe asthma, although there is recognition of the need to develop non-invasive sampling methods coupled to assessment of biomarkers. Based on the presence of airway eosinophilia and type 2 inflammation in asthma, biologic therapies targeting type 2 inflammation are being introduced for selected asthmatics.
The magnitude of interferon production in asthma remains controversial. Deficiency of various interferons (IFNs) has been demonstrated using cultured human bronchial epithelial cells (hBECs) from asthmatics following rhinovirus infection in vitro. This includes deficiency of IFN-β and IFN-λ in primary bronchial epithelial cells (PBECs), and deficiency of IFNs (γ, α, β and λ) and IL-15 in BAL cells. However, rhinovirus-induced interferon production in hBECs is not deficient in well-controlled asthma, hBECs from asthmatics have preserved interferon responses to influenza and respiratory syncytial virus (RSV), and TLR responses are not impaired in asthmatic airway and blood cells. In addition, robust IFN-γ and IFN-λ responses have been found clinically in children with asthma during naturally-occurring virus-induced exacerbations, and severe adult asthmatics and neutrophilic asthmatics have recently been shown to have a dominant IFN-γ immune response in BAL.
Nasosorption with paper and then synthetic absorptive matrices (SAM) has been used to sample nasal mucosal lining fluid. This technique can be considered as “precision mucosal sampling”, since it samples directly from the respiratory mucosa, and is free from the salivary contamination that occurs in breath and sputum sampling. Nasosorption sampling involves manipulating the synthetic absorptive matrix (SAM) up the lumen of the nasal cavity, and then holding it in position against the mucosa by external firm finger pressure. This is more comfortable and less invasive than using a conventional swab, where rotation against the mucosal surface is generally required.
Sampling by nasosorption has been carried out in children with rhinitis, neonates, and after nasal allergen challenge. Nasal lavage causes considerable dilution of nasal mediators, resulting in levels approximately tenfold less than those found in nasosorption samples. The absorption technique of bronchial microsampling has also been developed, but this sampling method caused mucosal bleeding in patients with asthma, and we have developed a modified bronchosorption system.
This study involves experimental rhinovirus infection followed by serial nasosorption and bronchosorption sampling, with the aim of studying upper and lower airway mucosal immune responses in individual patients with asthma. Following experimental rhinovirus infection we have previously reported baseline and peak nasal responses, together with baseline and day 4 bronchial responses of IL-4, IL-5, IL-13 and IL-33, IL-15; IL-18, and IL-25 in samples from the current study. In this report we provide a more complete presentation of levels of 34 cytokines and chemokines from the nose and lung, based on presentation of values recorded at defined time points in individual patients.
Study Participants
Non-smoking asthmatic and healthy non-asthmatic volunteers aged 18–55 years with absent serum neutralising antibodies to rhinovirus-16 (RV16) were recruited.
Study Approval
This clinical study received Research Ethics Committee approval (09/H0712/59) and written informed consent was obtained from all participants prior to inclusion in the study.
Inclusion and Exclusion Criteria
Asthmatic subjects were eligible for inclusion if they had a doctor diagnosis of asthma and objective evidence of airway hyperresponsiveness with a (PC)20 histamine < 8 μg/mL, evidence of atopy on skin prick testing (≥ 1 positive skin prick test on a panel of 10 common aeroallergens), and a history of worsening asthma symptoms with infection. Subjects were excluded if they had a history of severe asthma or any significant other respiratory or medical disease, smoking of > 5 pack year history or any smoking within the previous 6 months, current symptoms of allergic rhinitis, or had experienced an asthma exacerbation or viral illness within the previous 6 weeks.
Healthy, non-smoking subjects were eligible if they had no history of asthma, allergy or any other significant disease, had negative skin prick testing, and no objective airway hyperresponsiveness with a histamine (PC)20 ≥ 8 μg/mL.
Pregnant or breastfeeding women and any subject who had contact with infants or the elderly at home or at work were excluded. Further exclusion criteria included use of any nasal or oral medication including anti-histamines, or nasal/oral corticosteroids. Subjects were excluded from the study analysis if they failed to develop objective evidence of a rhinovirus infection defined as serum neutralising antibody to RV16 at 6 weeks of < 1:4 and no detection of RV16 in nasal lavage samples throughout the infection period (day 2–10).
Study Design
Volunteers underwent bronchoscopy with bronchosorption ~ 14 days prior to inoculation with RV16 and on day 4 (Fig. 1A). Nasosorption was performed on days 0, 2–5 and 7. On day 0, nasosorption and then nasal lavage sampling was performed immediately before inoculation with virus (HRV16). RV16 was inoculated into both nostrils (total dose 100 TCID50) using an atomizer (no. 286; De Vilbiss Co., Heston, UK) on day 0. Rhinovirus was detected during the infection by PCR of nasal lavage. Daily diary cards of respiratory symptoms were commenced 2 weeks prior to baseline sampling and continued until 6 weeks after inoculation, with lower respiratory symptom scores corrected for the effects of bronchoscopy. Spirometry was performed on waking using a Piko-1 spirometer (nSpire Health, CO).
Nasosorption
Nasosorption was performed by placing strips of a hydrophilic polyester absorptive matrix (Mucosal Diagnostics, Hunt Developments (UK) Ltd., Midhurst, UK: available as a CE-marked device) measuring 7 × 35 mm into each nostril for 2 min. Having removed the SAM strip, it was washed in PBS buffer pH 7.4 (100 μl) containing BSA (1%) and Triton X 100 (1%) within the cup of a spin filter insert (Costar® Spin-X®). Mucosal lining fluid was then eluted from the SAM by spin filter centrifugation (5 min at 16,000G at 4 °C), and aliquots frozen at − 80 °C.
Bronchosorption
The bronchosorption catheter was passed down the operating port of a bronchoscope, and has an inner SAM probe that is extruded under direct vision from the catheter using a handpiece (Hunt Developments (UK) Ltd., Midhurst, UK: available as a CE-marked device). The main benefit of bronchosorption sampling is the detection of relatively high levels of mediators through avoiding the significant and variable analyte dilution associated with bronchoalveolar lavage. An inner probe wire is tipped by a SAM (1.8 × 30 mm) which was placed on the bronchial mucosa for a period of 30 s. Following sampling, the bronchosorption device was withdrawn back into its catheter, and the complete device was removed from the bronchoscope. The sampling end of the probe was then cut off and treated in an identical way to the nasosorption strips.
Cytokine and Chemokine Immunoassays
Levels of 34 cytokines and chemokines in the extracted upper and lower airway mucosal lining fluid were analysed using ultrasensitive Meso Scale Discovery multi-spot human cytokine assays (Meso Scale Discovery, Gaithersburg, MD, USA). Samples were read using the Sector Imager 6000 (Meso Scale Discovery).
Multiplex Immunoassay of Cytokines and Chemokines
The 34 cytokines and chemokines measured were IL-1β, IL-2, IL-4, IL-5, IL-6, IL-10, IL-12p40, IL-12p70, IL-13, IL-15, IL-16, IL-17, IL-18, IL-25, IL-29 /IFN-λ, IL-33, IFN-β, IFN-γ, TSLP, TNF-α, GM-CSF, CCL2/MCP1, CCL3/MIP1α, CCL4/MIP1β, CCL5/RANTES, CCL11/eotaxin, CCL13/MCP4, CCL17/TARC, CCL20/MIP3α, CCL22/MDC, CCL26/eotaxin3, CXCL8/IL-8, CXCL10/IP10, CXCL11/ITAC. The lower limit of detection was 1.0 pg/ml for all mediators except CCL26/eotaxin-3, CCL2/MCP-1, CCL13/MCP-4 and IL-33 (3 pg/ml); IL-16 (5 pg/ml); CCL11/eotaxin, CXCL10/IP10, CCL17/TARC, IL-25, TSLP and CCL4/MIP1β (10 pg/ml); IFN-β (25 pg/ml); IL-29/IFN-λ (40 pg/ml) and CCL22/MDC (100 pg/ml).
Statistical Analysis and Data Processing
Mucosal lining fluid eluate levels of cytokines and chemokines were not normally distributed (Shapiro-Wilks test). Statistical analysis was carried out for paired samples using the Wilcoxon signed-rank test, and for non-paired samples with the Mann-Whitney test.
A Dynamical Hierarchical Correlation Matrix was produced for nasosorption levels of 24 cytokines and chemokines on days 0, 2–5 and 7. Hierarchical dynamical correlation between the longitudinal cytokine/chemokine profiles of individuals within each group is represented as a heat map with cytokine clustering, using R statistical software (version 2.15.2).
A Volcano Plot was performed on normal transformed data for all 34 cytokines and chemokines, assessing the fold change between asthmatics and controls from day 0 in relation to days 2–5 and 7 post infection. The fold change was calculated between asthmatics and controls using mean levels of cytokine or chemokine on particular days. The P value was derived by t-test and corrected for multiple testing (Benjamin-Hochberg). Cluster Analysis of nasosorption levels was carried out in relation to IFN-γ, IL-5 and IL-13 (Z score normalised) on day 0 and day 4.
Study Subjects and Clinical Outcomes
28 allergic asthmatics and 11 healthy control subjects were successfully infected with RV16 (Table 1). Nasosorption and bronchosorption were well tolerated with no significant adverse events. Respiratory symptoms and lung function measurements were recorded daily throughout the study and have been previously reported, but we highlight day 4 after infection (Fig. 1B, C, D), since bronchosorption was performed on this day. On day 4 nasal viral load was not significantly different between asthmatics and controls (Fig. 1E), although on day 3 viral load was significantly increased in asthmatics (Fig. S1). Virus load in asthmatics was not significantly increased when assessing area under the curve for days 2–7 (Mann Whitney test, P = 0.0833). Viral load on day 3 was assessed for correlation with levels of nasal cytokines on day 3 (Table S1), viral load on day 4 was assessed for correlation with levels of nasal cytokines on day 4 (Table S2), and also AUC for days 2–7 for both viral load and nasal cytokines were also analysed (Table S3).
Nasal Cytokines/Chemokines
We have previously reported that baseline nasal levels of IL-4, IL-5, IL-13 were significantly increased in these asthmatic subjects compared to controls. IL-4, IL-5 and IL-13 become significantly increased in asthmatics on and off inhaled corticosteroids (ICS), and in both mild and moderately severe asthmatics.
We now report the type 2 chemokines CCL11/eotaxin, CCL17/TARC and CCL26/eotaxin-3 were also increased (P < 0.05) (Table S5). The levels of 34 cytokines and chemokines in nasal lining fluid were measured over the first week of the infection, noting that some levels have been reported largely as peak values. Twelve nasal cytokines and chemokines were selected for presentation (Fig. 2) based on them having significantly (P < 0.05, AUC days 0–7) increased levels in asthmatics compared to controls (Table S4). IFN-β, CCL2/MCP-1 and CCL13/MCP-4 were also significantly increased, but are not presented here as levels were mostly undetectable [IFN-β] or for reasons of space [CCL2/MCP-1 and CCL13/MCP-4]. The remaining 22 cytokines and chemokines are presented in Figs. S2 and S5. Median levels with quartiles permit an assessment of the overall magnitude and kinetics of the response (Fig. 2A and Fig. S2). Actual levels for individuals over time are shown on logarithmic and linear scales, with levels for 5 individuals given markings for identification (Fig. 2B and Figs. S3–S4). Levels of IL-5 and IL-13 in nasal lining fluid tend to be high before infection (day 0) in those individuals that developed the highest levels after rhinovirus infection (Fig. S3).
Analysis of changes from baseline in healthy control and asthmatic subjects in nasal levels of all 34 cytokines/chemokines on days 2, 3, 4, 5 and 7 are given in Tables S5–S9 respectively. Responses to infection in the asthmatic subjects were remarkably robust, with 24 cytokines/chemokines being induced significantly on at least one day, with most reaching their maximum levels on days 3 to 5. However, when interpreting these responses, it should be emphasised that there were only 11 controls compared with 28 asthmatics. Prominent among those induced in asthma were cytokines of the dendritic cell/T cell axis including IL-2, IL-10 and CCL20/MIP3α, the type 2 pathway including IL-5, IL-13, IL-33, CCL11/eotaxin, CCL17/TARC and CCL22/MDC, the anti-viral interferon pathway including IFN-β, IFN-γ, IFN-λ/IL-29, IL-12p40, IL-15, CCL5/RANTES, CXCL10/IP10, CXCL11/ITAC and the pro-inflammatory cytokines TNFα, IL-6 and IL-17 and chemokines CCL2/MCP-1, CCL3/MIP-1α and CCL4/MIP-1β. IL-18 was lower on day 2 than at baseline in asthmatics and significantly lower in asthmatic compared to normal subjects on day 4 and IL-4 and CCL13/MCP-4 were also decreased after infection in asthmatics on days 5 and 7 and day 2 respectively (Tables S5 and S7–9). Cytokines not significantly induced on any post-infection day in asthma were IL-1β, IL-12p70, IL-16, IL-18, IL-25, GM-CSF, TSLP, CCL13/MCP-4, CCL26/eotaxin3 and CXCL8/IL-8 (Tables S5 and S6–9), though CCL13/MCP-4 was significantly increased after infection in asthma compared to healthy controls when assessing AUC (Table S4), suggesting greater data variability than with other cytokines/chemokines. Nasal mucosal cytokine and chemokine responses to infection in the healthy controls were smaller, with occasional significant increases only observed in IL-12p40, CCL17/TARC, CCL2/MCP-1, CCL22/MDC on days 2–5 and 7 (Tables S5, and S6–9).
Heat Map of Hierarchical Correlation Matrices
From the original 34 cytokines and chemokines measured in the nose we excluded TSLP, IL-1β, IL-12p40, IL-12p70, IL-16, IL-18, IL-25, IFN-β, GM-CSF and CXCL8/IL-8 where nasal levels were mostly below detection limits, and/or not significantly different in asthmatics versus controls (Table S4), or levels did not significantly increase from day 0 to day 4 (Table S7). A hierarchical correlation matrix was derived for nasal levels of the remaining 24 cytokines and chemokines, involving determination of incremental daily correlations beginning on day 0 and proceeding through days 2, 3, 4, 5 and then 7 (Fig. 3A).
In asthmatics (right) four major clusters can be seen:a small chemokine cluster containing CCL3/MIP-1α, CCL4/MIP-1β and CCL22/MDC.a clearly differentiated type 2 pathway including IL-4, IL-5, IL-13, CCL17/TARC, CCL11/eotaxin, CCL26/eotaxin-3 and CCL13/MCP-4.a mixed immune response cluster including IL-17, IL-33, IL-2, CCL20/MIP3α and IL-10.an interferon/inflammatory response cluster with IFN-γ, IFN-λ/IL-29, IL-6 and CCL2/MCP-1, CCL5/RANTES, TNFα, IL-15, CXCL10/IP10 and CXCL11/ITAC.
a small chemokine cluster containing CCL3/MIP-1α, CCL4/MIP-1β and CCL22/MDC.
a clearly differentiated type 2 pathway including IL-4, IL-5, IL-13, CCL17/TARC, CCL11/eotaxin, CCL26/eotaxin-3 and CCL13/MCP-4.
a mixed immune response cluster including IL-17, IL-33, IL-2, CCL20/MIP3α and IL-10.
an interferon/inflammatory response cluster with IFN-γ, IFN-λ/IL-29, IL-6 and CCL2/MCP-1, CCL5/RANTES, TNFα, IL-15, CXCL10/IP10 and CXCL11/ITAC.
In the healthy controls (left) there is more fragmented clustering:type 2 inflammation (IL-5 and IL-13)anti-viral (CXCL11/ITAC, IL-15, CCL2/MCP-1, IFN-γ) with innate/regulatory factors (IL-2, IL-33, IL-6 and IL-10)pro-inflammatory cytokines (TNFα, IL-17) and a group of 10 chemokines.
type 2 inflammation (IL-5 and IL-13)
anti-viral (CXCL11/ITAC, IL-15, CCL2/MCP-1, IFN-γ) with innate/regulatory factors (IL-2, IL-33, IL-6 and IL-10)
pro-inflammatory cytokines (TNFα, IL-17) and a group of 10 chemokines.
Heat Map of Personalised Responses
This heat map demonstrates the size of the AUC for levels of particular nasal cytokines and chemokines in individual subjects, with a gradation of colour intensity set across all the asthmatics and controls for a given cytokine or chemokine (Fig. 3B). We have selected IFN-γ and ITAC/CXCL11 to reflect the anti-viral response, while IL-5 and IL-13 were chosen to represent type 2 inflammation. In the healthy controls (left) the nasal levels are lower, although 3 subjects had strong anti-viral responses (H1, H2, H3). As might be expected, IL-5 and IL-13 levels were conspicuously low in all the healthy subjects. In the asthmatics (right) a varied immune response (both qualitatively and quantitatively) was observed. Some asthmatics had strong interferon and IL-5/13 inflammatory responses (A1), others had strong anti-viral but weaker IL-5/13 responses (A2, A6–8), whilst others had a limited anti-viral response with a pronounced IL-5/13 response (A9).
Volcano Plot
A volcano plot of normalised data shows that asthmatics have a greater immune response as shown by the up-regulation of many cytokines, since the volcano plot is highly asymmetric to the right. In particular, nasal IL-5 and IL-13 are upregulated in asthma versus controls, especially on days 3–5 (Fig. 4A), and this confirms the greater induction demonstrated in terms of changes from baseline in asthmatic compare to healthy subjects (Table S10).
Receiver Operating Characteristic (ROC) Curves
The ROC curves presented in Fig. S6 and Table S11 display how nasosorption eluate IL-13 levels on days 0 and 4 can discriminate asthmatics and controls (AUCs 0.75 and 0.84 respectively).
Cluster Analyses
In considering the response to viral infection on day 4, we have previously noted that discrete pathways of interferon family and type 2 pathways are induced in nasal lining fluid (Fig. 3A). Nasal IL-5 and IL-13 are prominent in asthmatics (Fig. 4A). We then selected IFN-γ and IL-13 as representative members of interferon and type 2 pathways, to compare the viral response in asthmatics (red) and controls (blue) on day 4 (Fig. 4B). The viral response can be divided into quartiles based on high and low IL-13 and IFN-γ levels. This demonstrates the lack of relationship between IL-13 and IFN-γ levels, with some asthmatics having high IL-13 levels (with and without high IFN-γ), while controls have low IL-13 levels but can still have high IFN-γ levels. Levels of nasosorption IL-13 against IL-5 (Z-score normalised) on day 0 were plotted as a 2D cluster, and demonstrate that there is reasonable discrimination between asthmatics (red dots) and healthy volunteers (blue dots) at baseline before infection (Fig. 4C). These features are also present during asthma exacerbation on day 4 (Fig. 4D), when the healthy and allergic asthmatic patients form separate clusters with overlap for only a few subjects: with asthmatic patients generally having higher levels of nasal IL-5 and IL-13.
Bronchial Mucosal Responses to Infection
There was significant induction of bronchial IFN-γ, CXCL11/ITAC, CXCL10/IP10, IL-15, IL-10, TNFα and IL-5 during infection in allergic asthmatics (all P < 0.05), but not in healthy controls (Fig. 5 and Table S12). We have previously reported that bronchial levels of IL-5 and IL-13 were greater during infection in asthmatic compared with healthy subjects.
Discussion
This study found an amplified immune response to rhinovirus infection in adults with allergic asthma, by using the mucosal sampling methods of nasosorption and bronchosorption to measure a panel of 34 cytokines and chemokines. We observed striking up-regulation of interferon and type 2 inflammatory pathways in our allergic asthmatic subjects. The magnitude of the IFN-γ response to infection is relatively large compared to type 2 cytokine induction, but induction of IL-5 and IL-13 is more selective for allergic asthmatics compared to controls. However, we do not know whether these mediators take part in the pathogenesis of the exacerbation of asthma and/or are part of a protective immune response to combat viral infection. In addition, there was marked heterogeneity between individual asthmatic patients in terms of the relative involvement of these pathways, reflected in mucosal levels of IFN-γ and IFN-λ/IL-29 relative to IL-5 and IL-13. In contrast, in healthy controls there were few significant changes in levels of nasal and bronchial cytokines after rhinovirus infection.
Although there have been previous publications on peak nasal levels of IL-15, IL-18, IL-25, and IL-33 (with IL-5 and IL-13) from this viral challenge study; we now provide detailed kinetics of 34 cytokine and chemokine levels in individuals over time. We stress the importance of scrutiny of graphs of data points for individual subjects, comprising cytokine and chemokine levels over time, since a single sample is generally taken from a patient in the context of measuring a biomarker of a disease and making a therapeutic decision. Nasal IL-5 and IL-13 levels were generally < 1 pg/ml in healthy controls, but higher at > 1 pg/ml in most stable allergic asthmatics prior to infection. This demonstrates that for nasal IL-5 and IL-13 levels there is “room to move” in relation to monitoring levels in stable allergic asthmatics. This has major implications for future clinical studies, including dose range finding, of biologics directed against IL-5 or IL-13. Repeat daily nasal sampling could be performed in stable allergic asthmatics in a baseline run-in period, before continued serial nasal sampling after administration of a biologic directed against IL-5 or IL-13. Furthermore, those asthma patients with higher levels of nasal IL-5 and IL-13 prior to RV infection, tended to be those with higher nasal levels of IL-5 and IL-13 after infection. Hence, levels of nasal IL-5 and IL-13 when a patient is stable could be used to select a biologic that acts mainly in the context of exacerbations.
We also found that that cytokines and chemokines of the type 2 pathway were closely related as a group in nasosorption samples in the asthmatic subjects during the 7 days after the infection. This included CCL17/TARC, CCL22/MDC, CCL11/eotaxin and CCL26/eotaxin-3 that are chemokines produced by epithelial and dendritic cells early in the type 2 pathway and are chemotactic for Th2 cells and eosinophils. The relative degree of interferon and type 2 pathway induction was found to vary between asthmatic patients, suggesting that these may be divergent pathways in response to rhinovirus infection. This is in agreement with a recent report that IL-33 promotes, and IFN-γ suppresses, type 2 inflammation, while IFN-λ2 has also been shown to suppress type 2 inflammation.
Nasal levels of IL-5 and IL-13 were tightly correlated with each other in this study and after nasal allergen challenge. This suggests that IL-5 and IL-13 could be produced by the same cell type(s), such as by type 2 innate lymphoid cells (ILC2), since ILC2 cells have been demonstrated in the blood and lungs of asthmatics. Furthermore, it has recently been shown that IL-25 drives rhinovirus induced allergic inflammation, and that epithelial-derived IL-33 activates human ILC2 cells and T cells to secrete large amounts of IL-5 and IL-13.
Prior to infection nasal IFN-gamma levels were generally < 2 pg/ml, before rapidly increasing after RV infection, particularly in subjects with allergic asthma. Our finding of elevated nasal and bronchial levels of IFN-γ and IFN-λ (together with the IFN-inducible proteins CXCL10/IP10, CXCL11/ITAC and IL-15) is in agreement with elevated IFN-γ and IFN-λ responses to virus infection being found in vivo in children with asthma. However, interferon and IL-15 deficiency have been demonstrated in cultured cells retrieved from stable asthmatics at baseline following infection of these cells with a standardised quantity of rhinovirus ex vivo. Measurement of cytokines and chemokines in nasal MLF was studied in the context of allergic asthmatics challenged with RV. Following experimental nasal allergen challenge (NAC) with grass pollen in allergic asthma and hay fever, we see increases in mediators of type II inflammation in most subjects, but we have not seen an increase in IFN-gamma or related mediators. However, it will also be relevant to measure nasal and bronchial mediators in natural allergen-induced and virally-induced exacerbations.
It would be of interest to compare nasal and bronchial mucosal viral load in allergic asthmatics and healthy controls following RV infection. However, a weakness of the current study was that virus load was measured in nasal lavage samples, when the lavage causes dilution of nasal secretions in 5 ml of saline, and there is variable recovery of fluid. These problems of dilution and variable recovery are also relevant for bronchoalveolar lavage (BAL) samples: where viral load cannot usually be reliably measured. In the future it will be of interest to take nasosorption and bronchosoprtion samples and perform elution in RNA extraction buffer, prior to measuring RV load by qPCR. We observed significantly greater nasal lavage virus load on day 3 but not on day 4 in vivo in asthmatic subjects. Thus it is possible that the amplified cytokine responses observed in vivo in asthmatics may be a consequence of greater virus load. In addition, we did not assess ex vivo interferon responses in our subjects at baseline, so we were not able to relate ex vivo interferon responses at baseline with in vivo virus load during infection.
The technique of nasosorption involves pressing against the mucosa without friction against the surface, as opposed to conventional swab sampling where rotation against the mucosa is required. This has the major advantage of allowing repeat or serial nasosorption sampling at regular intervals. Our group has shown that nasosorption can be repeated every 10 min over an hour, and produce reproducible cytokine and chemokine levels (data not shown).
Nasosorption and bronchosorption of MLF involves sampling from a distinct mucosal compartment, and it is speculated that the cytokines and chemokines detected in MLF reflects the underlying mucosal tissue inflammation. In addition, MLF from the larger bronchi is expected to be influenced by events in the peripheral small airways through the mucociliary escalator. The biological significance of these MLF chemokines and cytokines is open to conjecture, with many chemokines (including CXCL8/IL-8) generally present in respiratory MLF at high levels, while all nasal and bronchial MLF mediators measured have been diluted during elution in immunoassay buffer.
We studied adults with allergic asthma and compared them with healthy non-allergic controls. In exacerbations of asthma taking place in a natural clinical context there may be different signatures of inflammation according to the individual patient's asthma phenotype. It will be relevant to employ nasosorption in large scale natural history and epidemiology studies on a range of asthma phenotypes, including non-allergic and severe asthma. There is also the need to compare nasosorption and bronchosorption sampling techniques with other sampling methods in a range of asthma phenotypes, and to correlate biomarkers with a range of clinical outcomes. Indeed it will be relevant to assess mucosal lining fluid from different locations in the airways in a range of respiratory diseases, to assess whether disease-specific signatures and useful biomarkers can be identified.
This study did not include any therapeutic intervention, but since absorption can be used to quantitate cytokines of the type 2 pathway in the upper and lower airway, future clinical studies could be designed to assess whether these biomarkers can be used to select patients for monoclonal antibody therapy directed against IL-5 and IL-13. Indeed, the need for new biomarkers of inflammation in asthma has been highlighted in a recent study of an IL-13 neutralising monoclonal antibody, where measurement of airway IL-13 levels might be a more relevant biomarker than blood eosinophils and serum periostin. Since endobronchial mucosal biopsy in severe asthma is sometimes clinically indicated, bronchosorption could be performed during the same bronchoscopy procedure. Hence, we speculate that precision sampling of airway lining fluid, enabling assessment of interferon and type 2 immune responses in the nose and bronchi, has the potential for selection and monitoring of asthmatics in relation to monoclonal antibody therapy.
Funding Sources
This study was supported by the European Research Council (ERC FP7 grant 233015), a Chair from Asthma UK (CH11SJ), MRC Centre grant G1000758, National Institute of Healthcare Research Biomedical Research Centre (NIHR BRC) grant P26095, Predicta FP7 Collaborative Project grant 260895 by NIHR BRCs at Imperial College London and King’s College London. Novartis Institute for Biomedical Research (Horsham, UK) funded the cytokine assays and development of bronchosorption by Hunt Developments (UK) Ltd, Midhurst, UK. SLJ is an NIHR Senior Investigator. The Funders did not have a role in study design, data collection, data analysis, interpretation, and writing of the report.
Conflicts of Interest
DJJ has received support for travel expenses to attend Respiratory Conferences from AstraZeneca, Boehringer Ingelheim (UK), and GSK.
SLJ reports grants and/or personal fees from Centocor; Sanofi Pasteur; GSK; Chiesi; Boehringer Ingelheim; Novartis; grants, personal fees and shareholding from Synairgen; personal fees from Bioforce outside the submitted work; In addition, SLJ is involved in patents relating to use of interferon-beta and interferon-lambda for the treatment and prevention of virally-induced exacerbation in asthma and chronic pulmonary obstructive disease, and for induction of cross-reactive cellular responses against rhinovirus antigens.
TTH has been Principal Investigator for respiratory clinical studies carried out at Imperial College with Institutional support from Pharmaceutical Companies: Merck, Novartis, GlaxoSmithKline (GSK), Dainippon-Sumitomo (Sunovion). TTH has received educational grants to attend Respiratory Conferences from Boehringer Ingelheim (UK), and performed occasional consultancy work for Bayer and Retroscreen. TTH together with TMH, TLH, DGH and Imperial Innovations are involved in setting up a medical device company called Mucosal Diagnostics (MD),that is an Imperial College spin-off company.
Author Contributions
S.L.J., P.M., D.J.J., T.T.H. conceptualized the study design and directed the project; M.-B.T.-T, J.d.-R., and J.D. carried out volunteer screenings and assisted with bronchsoscopies; D.J.J. carried out the clinical aspects of the study; D.J.J. and O.M.K. performed the bronchoscopies; A.T., J.A., L.G., E.B., L.S., B.S., M.J.E., R.P.W. and J.W. performed sample processing and analysis; T.T.H., T.M.H., T.L.H. and D.G.H. designed and produced of nasosorption and bronchosorption devices; T.T.H., T.T., P.K., M.S., J.K., D.J.J. analysed, reviewed and interpreted data; T.T.H., T.T. prepared the manuscript with input from all authors.
References 51
- 1.
Alam R., Sim T.C., Hilsmeier K., Grant J.A. Development of a new technique for recovery of cytokines from inflammatory sites in situ. J. Immunol. Methods. 1992;155:25-29.
Not in our library10.1016/0022-1759(92)90267-w
- 2.
Bardin P.G., Sanderson G., Robinson B.S., Holgate S.T., Tyrrell D.A. Experimental rhinovirus infection in volunteers. Eur. Respir. J. 1996;9:2250-2255.
Not in our library10.1183/09031936.96.09112250
- 3.
Barnig C., Cernadas M., Dutile S., Liu X., Perrella M.A., Kazani S., Wechsler M.E., Israel E., Levy B.D. Lipoxin A4 regulates natural killer cell and type 2 innate lymphoid cell activation in asthma. Sci. Transl. Med. 2013;5.
Not in our library10.1126/scitranslmed.3004812
- 4.
Bartemes K.R., Kephart G.M., Fox S.J., Kita H. Enhanced innate type 2 immune response in peripheral blood from patients with asthma. J. Allergy Clin. Immunol. 2014;134:671-678.
Not in our library10.1016/j.jaci.2014.06.024
- 5.
Beale J., Jayaraman A., Jackson D.J., Macintyre J.D., Edwards M.R., Walton R.P., Zhu J., Ching Y.M., Shamji B., Edwards M., Westwick J., Cousins D.J., Hwang Y.Y., McKenzie A., Johnston S.L., Bartlett N.W. Rhinovirus-induced IL-25 in asthma exacerbation drives type 2 immunity and allergic pulmonary inflammation. Sci. Transl. Med. 2014;6.
Not in our library10.1126/scitranslmed.3009124
- 6.
Brightling C.E., Chanez P., Leigh R., O'Byrne P.M., Korn S., She D., May R.D., Streicher K., Ranade K., Piper E. Efficacy and safety of tralokinumab in patients with severe uncontrolled asthma: a randomised, double-blind, placebo-controlled, phase 2b trial. Lancet Respir. Med. 2015;3:692-701.
Not in our library10.1016/s2213-2600(15)00197-6
- 7.
Chawes B.L., Edwards M.J., Shamji B., Walker C., Nicholson G.C., Tan A.J., Folsgaard N.V., Bonnelykke K., Bisgaard H., Hansel T.T. A novel method for assessing unchallenged levels of mediators in nasal epithelial lining fluid. J. Allergy Clin. Immunol. 2010;125:1387-1389.
Not in our library10.1016/j.jaci.2010.01.039
- 8.
Choy D.F., Modrek B., Abbas A.R., Kummerfeld S., Clark H.F., Wu L.C., Fedorowicz G., Modrusan Z., Fahy J.V., Woodruff P.G., Arron J.R. Gene expression patterns of Th2 inflammation and intercellular communication in asthmatic airways. J. Immunol. 2011;186:1861-1869.
Not in our library10.4049/jimmunol.1002568
- 9.
Chung K.F. Targeting the interleukin pathway in the treatment of asthma. Lancet. 2015;386:1086-1096.
Not in our library10.1016/s0140-6736(15)00157-9
- 10.
Chung K.F., Wenzel S.E., Brozek J.L., Bush A., Castro M., Sterk P.J., Adcock I.M., Bateman E.D., Bel E.H., Bleecker E.R., Boulet L.P., Brightling C., Chanez P., Dahlen S.E., Djukanovic R., Frey U., Gaga M., Gibson P., Hamid Q., Jajour N.N., Mauad T., Sorkness R.L., Teague W.G. International ERS/ATS guidelines on definition, evaluation and treatment of severe asthma. Eur. Respir. J. 2014;43:343-373.
Not in our library10.1183/09031936.00202013
- 11.
Cohen J., Douma W.R., ten Hacken N.H., Vonk J.M., Oudkerk M., Postma D.S. Ciclesonide improves measures of small airway involvement in asthma. Eur. Respir. J. 2008;31:1213-1220.
Not in our library10.1183/09031936.00082407
- 12.
Contoli M., Message S.D., Laza-Stanca V., Edwards M.R., Wark P.A., Bartlett N.W., Kebadze T., Mallia P., Stanciu L.A., Parker H.L., Slater L., Lewis-Antes A., Kon O.M., Holgate S.T., Davies D.E., Kotenko S.V., Papi A., Johnston S.L. Role of deficient type III interferon-lambda production in asthma exacerbations. Nat. Med. 2006;12:1023-1026.
Not in our library10.1038/nm1462
- 13.
da Silva J., Hilzendeger C., Moermans C., Schleich F., Henket M., Kebadze T., Mallia P., Edwards M.R., Johnston S.L., Louis R. Raised interferon-beta, type 3 interferon and interferon-stimulated genes - evidence of innate immune activation in neutrophilic asthma. Clin. Exp. Allergy. 2017;47:313-323.
Not in our library10.1111/cea.12809
- 14.
- 15.
Edwards M.R., Regamey N., Vareille M., Kieninger E., Gupta A., Shoemark A., Saglani S., Sykes A., Macintyre J., Davies J., Bossley C., Bush A., Johnston S.L. Impaired innate interferon induction in severe therapy resistant atopic asthmatic children. Mucosal Immunol. 2013;6:797-806.
Not in our library10.1038/mi.2012.118
- 16.
Fahy J.V. Type 2 inflammation in asthma–present in most, absent in many. Nat. Rev. Immunol. 2015;15:57-65.
Not in our library10.1038/nri3786
- 17.
Folsgaard N.V., Chawes B.L., Rasmussen M.A., Bischoff A.L., Carson C.G., Stokholm J., Pedersen L., Hansel T.T., Bonnelykke K., Brix S., Bisgaard H. Neonatal cytokine profile in the airway mucosal lining fluid is skewed by maternal atopy. Am. J. Respir. Crit. Care Med. 2012;185:275-280.
Not in our library10.1164/rccm.201108-1471oc
- 18.
Hambly N., Nair P. Monoclonal antibodies for the treatment of refractory asthma. Curr. Opin. Pulm. Med. 2014;20:87-94.
Not in our library10.1097/mcp.0000000000000007
- 19.
Hansel T.T., Johnston S.L., Openshaw P.J. Microbes and mucosal immune responses in asthma. Lancet. 2013;381:861-873.
Not in our library10.1016/s0140-6736(12)62202-8
- 20.
Hentschel J., Muller U., Doht F., Fischer N., Boer K., Sonnemann J., Hipler C., Hunniger K., Kurzai O., Markert U.R., Mainz J.G. Influences of nasal lavage collection-, processing- and storage methods on inflammatory markers–evaluation of a method for non-invasive sampling of epithelial lining fluid in cystic fibrosis and other respiratory diseases. J. Immunol. Methods. 2014;404:41-51.
Not in our library10.1016/j.jim.2013.12.003
- 21.
Ishizaka A., Watanabe M., Yamashita T., Ogawa Y., Koh H., Hasegawa N., Nakamura H., Asano K., Yamaguchi K., Kotani M., Kotani T., Morisaki H., Takeda J., Kobayashi K., Ogawa S. New bronchoscopic microsample probe to measure the biochemical constituents in epithelial lining fluid of patients with acute respiratory distress syndrome. Crit. Care Med. 2001;29:896-898.
Not in our library10.1097/00003246-200104000-00043
- 22.
Jackson D.J., Johnston S.L. The role of viruses in acute exacerbations of asthma. J. Allergy Clin. Immunol. 2010;125:1178-1187.
Not in our library10.1016/j.jaci.2010.04.021
- 23.
Jackson D.J., Makrinioti H., Rana B.M., Shamji B.W., Trujillo-Torralbo M.B., Footitt J., Jerico D.-R., Telcian A.G., Nikonova A., Zhu J., Aniscenko J., Gogsadze L., Bakhsoliani E., Traub S., Dhariwal J., Porter J., Hunt D., Hunt T., Hunt T., Stanciu L.A., Khaitov M., Bartlett N.W., Edwards M.R., Kon O.M., Mallia P., Papadopoulos N.G., Akdis C.A., Westwick J., Edwards M.J., Cousins D.J., Walton R.P., Johnston S.L. IL-33-dependent type 2 inflammation during rhinovirus-induced asthma exacerbations in vivo. Am. J. Respir. Crit. Care Med. 2014;190:1373-1382.
Not in our library10.1164/rccm.201406-1039oc
- 24.
Jackson D.J., Glanville N., Trujillo-Torralbo M.B., Shamji B.W., Del-Rosario J., Mallia P., Edwards M.J., Walton R.P., Edwards M.R., Johnston S.L. Interleukin-18 is associated with protection against rhinovirus-induced colds and asthma exacerbations. Clin. Infect. Dis. 2015;60:1528-1531.
Not in our library10.1093/cid/civ062
- 25.
Jayaraman A., Jackson D.J., Message S.D., Pearson R.M., Aniscenko J., Caramori G., Mallia P., Papi A., Shamji B., Edwards M., Westwick J., Hansel T., Stanciu L.A., Johnston S.L., Bartlett N.W. IL-15 complexes induce NK- and T-cell responses independent of type I IFN signaling during rhinovirus infection. Mucosal Immunol. 2014;7:1151-1164.
Not in our library10.1038/mi.2014.2
- 26.
Jochems S.P., Piddock K., Rylance J., Adler H., Carniel B.F., Collins A., Gritzfeld J.F., Hancock C., Hill H., Reine J., Seddon A., Solorzano C., Sunny S., Trimble A., Wright A.D., Zaidi S., Gordon S.B., Ferreira D.M. Novel analysis of immune cells from nasal microbiopsy demonstrates reliable, reproducible data for immune populations, and superior cytokine detection compared to nasal wash. PLoS One. 2017;12:e0169805.
Not in our library10.1371/journal.pone.0169805
- 27.
Koltsida O., Hausding M., Stavropoulos A., Koch S., Tzelepis G., Ubel C., Kotenko S.V., Sideras P., Lehr H.A., Tepe M., Klucher K.M., Doyle S.E., Neurath M.F., Finotto S., Andreakos E. IL-28A (IFN-lambda2) modulates lung DC function to promote Th1 immune skewing and suppress allergic airway disease. EMBO Mol. Med. 2011;3:348-361.
Not in our library10.1002/emmm.201100142
- 28.
Laza-Stanca V., Message S.D., Edwards M.R., Parker H.L., Zdrenghea M.T., Kebadze T., Kon O.M., Mallia P., Stanciu L.A., Johnston S.L. The role of IL-15 deficiency in the pathogenesis of virus-induced asthma exacerbations. PLoS Pathog. 2011;7:e1002114.
Not in our library10.1371/journal.ppat.1002114
- 29.
Leaker B.R., Malkov V.A., Mogg R., Ruddy M.K., Nicholson G.C., Tan A.J., Tribouley C., Chen G., De Lepeleire I., Calder N.A., Chung H., Lavender P., Carayannopoulos L.N., Hansel T.T. The nasal mucosal late allergic reaction to grass pollen involves type 2 inflammation (IL-5 and IL-13), the inflammasome (IL-1beta), and complement. Mucosal Immunol. 2017;10:408-420.
Not in our library10.1038/mi.2016.74
- 30.
Lewis T.C., Henderson T.A., Carpenter A.R., Ramirez I.A., McHenry C.L., Goldsmith A.M., Ren X., Mentz G.B., Mukherjee B., Robins T.G., Joiner T.A., Mohammad L.S., Nguyen E.R., Burns M.A., Burke D.T., Hershenson M.B. Nasal cytokine responses to natural colds in asthmatic children. Clin. Exp. Allergy. 2012;42:1734-1744.
Not in our library10.1111/cea.12005
- 31.
Lu F.X., Esch R.E. Novel nasal secretion collection method for the analysis of allergen specific antibodies and inflammatory biomarkers. J. Immunol. Methods. 2010;356:6-17.
Not in our library10.1016/j.jim.2010.03.004
- 32.
McGrath K.W., Icitovic N., Boushey H.A., Lazarus S.C., Sutherland E.R., Chinchilli V.M., Fahy J.V. A large subgroup of mild-to-moderate asthma is persistently non-eosinophilic. Am. J. Respir. Crit. Care Med. 2012;185:612-619.
Not in our library10.1164/rccm.201109-1640oc
- 33.
Message S.D., Laza-Stanca V., Mallia P., Parker H.L., Zhu J., Kebadze T., Contoli M., Sanderson G., Kon O.M., Papi A., Jeffery P.K., Stanciu L.A., Johnston S.L. Rhinovirus-induced lower respiratory illness is increased in asthma and related to virus load and Th1/2 cytokine and IL-10 production. Proc. Natl. Acad. Sci. U. S. A. 2008;105:13562-13567.
Not in our library10.1073/pnas.0804181105
- 34.
Miller E.K., Hernandez J.Z., Wimmenauer V., Shepherd B.E., Hijano D., Libster R., Serra M.E., Bhat N., Batalle J.P., Mohamed Y., Reynaldi A., Rodriguez A., Otello M., Pisapia N., Bugna J., Bellabarba M., Kraft D., Coviello S., Ferolla F.M., Chen A., London S.J., Siberry G.K., Williams J.V., Polack F.P. A mechanistic role for type III IFN-lambda1 in asthma exacerbations mediated by human rhinoviruses. Am. J. Respir. Crit. Care Med. 2012;185:508-516.
Not in our library10.1164/rccm.201108-1462oc
- 35.
Molofsky A.B., Van Gool F., Liang H.E., Van Dyken S.J., Nussbaum J.C., Lee J., Bluestone J.A., Locksley R.M. Interleukin-33 and interferon-gamma counter-regulate group 2 innate lymphoid cell activation during immune perturbation. Immunity. 2015;43:161-174.
Not in our library10.1016/j.immuni.2015.05.019
- 36.
Moore W.C., Hastie A.T., Li X.N., Li H.S., Busse W.W., Jarjour N.N., Wenzel S.E., Peters S.P., Meyers D.A., Bleecker E.R. Severe NHLBI. Sputum neutrophil counts are associated with more severe asthma phenotypes using cluster analysis. J. Allergy Clin. Immunol. 2014;133:1557.
Not in our library10.1016/j.jaci.2013.10.011
- 37.
Nicholson G.C., Kariyawasam H.H., Tan A.J., Hohlfeld J.M., Quinn D., Walker C., Rodman D., Westwick J., Jurcevic S., Kon O.M., Barnes P.J., Krug N., Hansel T.T. The effects of an anti-IL-13 mAb on cytokine levels and nasal symptoms following nasal allergen challenge. J. Allergy Clin. Immunol. 2011;128:800-807.
Not in our library10.1016/j.jaci.2011.05.013
- 38.
Opgen-Rhein R., Strimmer K. Inferring gene dependency networks from genomic longitudinal data: a functional data approach. REVSTAT Stat. J. 2006;53-65.
Not in our library
- 39.
Patel D.A., You Y., Huang G., Byers D.E., Kim H.J., Agapov E., Moore M.L., Peebles R.S., Castro M., Sumino K., Shifren A., Brody S.L., Holtzman M.J. Interferon response and respiratory virus control are preserved in bronchial epithelial cells in asthma. J. Allergy Clin. Immunol. 2014;134:1402-1412.
Not in our library10.1016/j.jaci.2014.07.013
- 40.
Poole A., Urbanek C., Eng C., Schageman J., Jacobson S., O'Connor B.P., Galanter J.M., Gignoux C.R., Roth L.A., Kumar R., Lutz S., Liu A.H., Fingerlin T.E., Setterquist R.A., Burchard E.G., Rodriguez-Santana J., Seibold M.A. Dissecting childhood asthma with nasal transcriptomics distinguishes subphenotypes of disease. J. Allergy Clin. Immunol. 2014;133:670-678.
Not in our library10.1016/j.jaci.2013.11.025
Cited by papers we hold 2
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.