Literature DB >> 30488542

Dupilumab reduces local type 2 pro-inflammatory biomarkers in chronic rhinosinusitis with nasal polyposis.

Karin Jonstam1,2, Brian N Swanson3, Leda P Mannent4, Lars-Olaf Cardell1,2, Nian Tian3, Ying Wang3, Donghui Zhang3, Chunpeng Fan3, Gabriele Holtappels5, Jennifer D Hamilton6, Annette Grabher7, Neil M H Graham6, Gianluca Pirozzi3, Claus Bachert1,2,5.   

Abstract

BACKGROUND: Chronic rhinosinusitis with nasal polyposis (CRSwNP) is a type 2-mediated inflammatory disease associated with significant clinical, social, and economic burdens and high unmet therapeutic need. Dupilumab, a fully human monoclonal antibody targeting the interleukin-4 receptor α (IL-4Rα) subunit, demonstrated efficacy and acceptable safety in CRSwNP and other type 2 diseases (eg, atopic dermatitis and asthma). We now report the local effects of dupilumab on type 2 inflammatory biomarkers in nasal secretions and nasal polyp tissues of patients with CRSwNP in a randomized, placebo-controlled, phase 2 trial (NCT01920893).
METHODS: Cytokines, chemokines, and total immunoglobulin E (IgE) levels were measured using immunoassay techniques in nasal secretions and nasal polyp tissue homogenates of CRSwNP patients receiving dupilumab 300 mg or placebo weekly for 16 weeks.
RESULTS: With dupilumab, type 2 biomarker concentrations decreased in nasal secretions (least squares mean area under the curve from 0 to 16 weeks for the change from baseline) vs placebo for eotaxin-3 (-30.06 vs -0.86 pg/mL; P = 0.0008) and total IgE (-7.90 vs -1.86 IU/mL; P = 0.022). Dupilumab treatment also decreased type 2 biomarker levels in nasal polyp tissues at Week 16 vs baseline for eosinophilic cationic protein (P = 0.008), eotaxin-2 (P = 0.008), eotaxin-3 (P = 0.031), pulmonary and activation-regulated chemokine (P = 0.016), IgE (P = 0.023), and IL-13 (P = 0.031).
CONCLUSIONS: Dupilumab treatment reduced multiple biomarkers of type 2 inflammation in nasal secretions and polyp tissues of patients with CRSwNP, demonstrating that antagonism of IL-4Rα signaling suppresses IL-4-/IL-13-dependent processes, such as mucosal IgE formation, as well as the expression of chemokines attracting inflammatory cells to the nasal mucosa.
© 2018 The Authors. Allergy Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  biomarkers; dupilumab; nasal polyposis; nasal secretions; type 2 inflammation

Mesh:

Substances:

Year:  2019        PMID: 30488542      PMCID: PMC6590149          DOI: 10.1111/all.13685

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   13.146


atopic dermatitis area under the concentration‐vs‐time curve from time of first treatment to Week 16 C‐C motif chemokine ligand confidence interval chronic rhinosinusitis chronic rhinosinusitis with nasal polyposis computed tomography eosinophil cationic protein enzyme‐linked immunosorbent assay immunoglobulin E interleukin interleukin‐4 receptor alpha interleukin‐13 receptor alpha 1 international units least squares monoclonal antibody mometasone furoate nasal spray nasal polyp score pulmonary and activation‐regulated chemokine peak nasal inspiratory flow quality of life standard deviation standard error 22‐item Sino‐Nasal Outcome Test thymus and activation‐regulated chemokine T helper type 2 cell tumor necrosis factor alpha University of Pennsylvania Smell Identification Test visual analog scale

INTRODUCTION

Chronic rhinosinusitis (CRS) affects 11%‐15% of the general population and causes a considerable socioeconomic burden.1, 2 CRS is a heterogeneous inflammatory disease with two distinct clinical presentations based on pathophysiology and histology.3 CRS without nasal polyposis is a mainly neutrophilic disease with local elevations in T helper type 1‐derived cytokines, whereas CRS with nasal polyposis (CRSwNP) is characterized by type 2/T helper type 2 cell (Th2) inflammation, with marked infiltration of eosinophils and mast cells in the mucosa and polyp tissue.4 Increased concentrations of eosinophil cationic protein (ECP; a marker of activated, degranulated eosinophils), eotaxins, total immunoglobulin E (IgE), and interleukin (IL)‐4, IL‐5, and IL‐13 have been observed in the serum, plasma, and nasal polyp tissue of patients with CRSwNP.5, 6, 7 Type 2 innate lymphoid cells8, 9 and type 2/Th2 lymphocytes10 accumulate in nasal polyps and mucosa of CRSwNP patients and secrete IL‐4, IL‐5, and IL‐13,11, 12 key drivers of type 2 inflammation, which also play roles in CRSwNP‐associated diseases such as aspirin‐exacerbated respiratory disease and asthma. Another feature of CRSwNP is the presence of mucosal B cells and plasma cells that secrete IgE,13, 14 providing evidence for local IL‐4‐modulated switching of Ig class. The current standard of care for CRSwNP is focused on controlling inflammation and, depending on disease severity, consists of intranasal corticosteroid spray or drops, nasal saline lavage, short courses of oral corticosteroids, antibiotics, and functional endoscopic sinus surgery.2 A subgroup of patients with CRSwNP does not respond well to the current standard of care and has a rapid relapse of polyp regrowth after surgery.15 Blocking the underlying immunological pathomechanisms with monoclonal antibodies (mAbs) targeting IL‐4, IL‐5, and IL‐13 has shown promising results in these patients.16, 17 In clinical trials, omalizumab, a mAb that recognizes IgE, significantly reduced nasal polyp size and showed improvement in both upper and lower airway functions in patients with CRSwNP;18 mepolizumab, a mAb targeting IL‐5, significantly reduced nasal polyp size and computed tomography (CT) scores in patients with severe nasal polyposis.19 IL‐4 and IL‐13 are key drivers of type 2‐mediated inflammation; these cytokines have structural similarities and signal via the IL‐4 Type II heterodimeric receptor complex composed of IL‐4 receptor alpha (IL‐4Rα) and IL‐13 receptor alpha 1 (IL‐13Rα1). IL‐4 also signals via the IL‐4 Type I heterodimeric receptor, composed of the IL‐4Rα subunit and the common gamma chain. IL‐4 and IL‐13 have overlapping functions, but can demonstrate varying degrees of specificity in inducing type 2 inflammation based on the relative cellular distribution of the Type I and II receptors. IL‐4 predominantly controls IgE class switching, Th2 lymphocyte differentiation, and upregulation of IgE receptors on the surfaces of mast cells, basophils, and B lymphocytes.20, 21 In contrast, IL‐13 is thought to have a greater role in stimulating mucus hypersecretion, airway hyperresponsiveness and subepithelial fibrosis, and secretion of chemokines such as eotaxins.21 Both IL‐4 and IL‐13 induce secretion of thymus and activation‐regulated chemokine (TARC) and pulmonary and activation‐regulated chemokine (PARC), which attract and activate inflammatory cells.22, 23 Based on what is known about the overlapping functions of IL‐4 and IL‐13, targeting signaling via both cytokines may be beneficial in patients with type 2‐driven disease. Dupilumab is a fully human VelocImmune ®‐derived mAb24, 25 that binds specifically to IL‐4Rα, the shared α chain subunit of the IL‐4 and IL‐13 receptors, inhibiting signaling of both IL‐4 and IL‐13. These cytokines have been implicated in numerous type 2 atopic/allergic diseases, including asthma and atopic dermatitis (AD), which are often associated as comorbidities.26 Placebo‐controlled clinical studies have demonstrated efficacy of dupilumab in both AD and asthma; asthma patients experienced significantly reduced exacerbation rates and improved lung function,27, 28 as well as reduced oral glucocorticoid use,28 and AD patients experienced significantly reduced disease severity and pruritus and improved quality of life (QoL).29, 30, 31 Dupilumab had an acceptable safety profile and was well tolerated in all of these trials. Dupilumab is approved in the European Union, USA, Japan, and other countries for the treatment of adults with inadequately controlled moderate‐to‐severe AD. In a randomized, double‐blind, placebo‐controlled phase 2 study of dupilumab in patients with CRSwNP with and without asthma,32 the dupilumab group experienced significant improvement in endoscopic, radiographic, and QoL endpoints relative to placebo. These clinical changes were accompanied by a statistically significant reduction in circulating concentrations of the type 2 biomarkers total IgE and eotaxin‐3. Transient increases in blood eosinophil count were observed in some patients after dupilumab treatment initiation. In addition to the main study assessments of blood and serum, assessments of the effect of dupilumab on nasal secretions and nasal polyp tissues were performed in a substudy of this trial. Here, we report the local effect of dupilumab on total IgE levels and markers of eosinophilic inflammation in nasal secretions and polyp tissues from patients with CRSwNP.

METHODS

Study design and population

This randomized, double‐blind, placebo‐controlled, parallel‐group study was conducted in the USA and Europe between August 2013 and August 2014 (ClinicalTrials.gov Identifier: NCT01920893).32 The study was conducted following ethical principles in accordance with the Declaration of Helsinki, International Conference on Harmonisation guidelines, and Good Clinical Practice. All study documents and procedures were approved by the appropriate institutional review boards and ethics committees at each study site; each patient provided written informed consent before study participation. Eligible patients were aged 18‐65 years with bilateral nasal polyposis and chronic symptoms of sinusitis despite intranasal corticosteroid treatment lasting ≥2 months. Patients were required to have bilateral endoscopic nasal polyp score (NPS) ≥5 (maximum score = 8) with ≥2 polyps per nostril and to exhibit ≥2 of the following prior to screening: nasal obstruction or discharge, facial pain or pressure, or a reduced or lost sense of smell. Exclusion criteria included previous participation in dupilumab clinical trials and treatment with systemic corticosteroids, mAbs, immunosuppressive treatments, or anti‐IgE therapy during the 2‐month pre‐screening period.32

Study treatments

After 4 weeks of treatment with mometasone furoate nasal spray (MFNS; 100 mg/nostril twice daily), 60 patients were randomly allocated (1:1) to receive a 600 mg loading dose of dupilumab followed by 16 weeks of 300 mg dupilumab (n = 30) or matched placebo (n = 30).32 MFNS was continued at a stable dose throughout the study, and inhaled asthma control therapies were allowed.

Study outcomes

Primary and secondary endpoints in the overall population have been previously reported32 and are described in detail in Table S1. The primary efficacy endpoint was mean change in bilateral endoscopic NPS from baseline to Week 16. Secondary endpoints included change in Lund‐Mackay CT score, percentage of maxillary sinus volume occupied by disease, 22‐item Sino‐Nasal Outcome Test (SNOT‐22) score, University of Pennsylvania Smell Identification Test (UPSIT) score, and peak nasal inspiratory flow, as well as patient‐rated nasal congestion or obstruction, anterior and posterior rhinorrhea, loss in sense of smell, nocturnal awakenings, and overall symptom severity. Safety outcomes were assessed as previously described.32

Sample collection

Nasal secretion samples were collected from 60 patients (n = 30 placebo, n = 30 dupilumab) in the outpatient clinic on Day 1, and then every 4 weeks. IVALON® Post‐Op Sinus Packings (Fabco®, New London, CT, USA) were inserted bilaterally into the nasal cavities for 5 minutes. The two packings were transferred to a tube, and the adsorbed analytes were then eluted from the packings by adding 3 mL of saline (0.9% NaCl) followed by centrifugation. The supernatant aliquots were stored at −70°C. Nasal polyp biopsies were collected with forceps from 14 patients at baseline; 12 of these patients provided a second biopsy at Week 16 (n = 4 placebo, n = 8 dupilumab). Fresh tissue biopsies were weighed, snap‐frozen in liquid nitrogen, and stored at −80°C. Pharmacodynamic measurements of blood eosinophil count, total serum IgE, serum TARC, and plasma eotaxin‐3 concentrations were collected as previously described.32

Measurement of cytokines and total IgE in nasal secretions

Concentrations of eotaxin‐3, total IgE, and ECP in nasal secretions were assayed in saline eluates from nasal swabs and reported without further normalization. No additional biomarkers were measured in nasal secretions. Eotaxin‐3 was analyzed using a human C‐C motif chemokine ligand (CCL) 26 / eotaxin‐3 enzyme‐linked immunosorbent assay (ELISA) (Quantikine ELISA Kit®, R&D Systems, Minneapolis, MN, USA) according to manufacturer instructions. Total IgE and ECP concentrations were analyzed using the ImmunoCAP® fluorescent enzyme immunoassay (Phadia AB, Uppsala, Sweden) according to manufacturer instructions.

Measurement of cytokines, total IgE, and ECP concentrations in tissue homogenates

Analysis of biomarker levels in the tissue of nasal polyps was carried out as previously described.5 To create tissue homogenates, the tissue was disrupted at 50 Hz for 2 minutes with the Tissue Lyser LT (Qiagen Benelux, Antwerp, Belgium), and 1 mL 0.9% NaCl in the presence of cOmplete™, an EDTA‐free protease inhibitor (Roche Diagnostics Belgium, Vilvoorde, Belgium), per 0.1 g of tissue was added. Homogenates were centrifuged at 1800 × g for 10 minutes at 4°C. Supernatants were removed and stored at −25°C until analysis. All supernatants were analyzed for the presence of cytokines, chemokines, ECP, and total IgE. Total IgE and ECP levels were measured using the UniCAP system (Thermo Fisher Scientific, Phadia, Groot‐Bijgaarden, Belgium) according to manufacturer instructions. Cytokines were assayed using the Luminex Performance Assay (IL‐4, IL‐5, IL‐17, tumor necrosis factor alpha [TNF‐α], IL‐10, IL‐1β, IL‐6, and vascular endothelial growth factor) and Luminex Screening Human Assay (IL‐13, IL‐33, TARC [CCL17], eotaxin‐3 [CCL26], eotaxin‐2 [CCL24], eotaxin‐1 [CCL11], and PARC [CCL18]) (R&D Systems Belgium), according to manufacturer instructions.

Statistical analyses

Descriptive statistics were used for demographics and baseline characteristics. For biomarkers in nasal secretions, the areas under the concentration‐vs‐time curves from time of first treatment to Week 16 (AUC0–16) for the change from baseline were estimated by trapezoidal analysis. Comparison of treatment effects from an analysis of covariance model was based on least squares (LS) mean differences in AUC0‐16 between patients in the dupilumab group vs the placebo group (with 95% confidence intervals [CI] and P values). The model included AUC0‐16 as the response variable, and treatment, stratification factor (comorbid asthma, biopsy performed), and baseline biomarker value as the covariates. Since the number of placebo‐treated patients who were successfully biopsied was small (n = 4), dupilumab treatment effect on biopsy biomarkers was assessed as change from baseline, analyzed using the Wilcoxon matched‐pairs signed‐rank test, in addition to a comparison of dupilumab vs placebo, which was analyzed using the Mann‐Whitney U test. P < 0.05 was considered statistically significant.

RESULTS

Study patients

The baseline clinical characteristics of the overall study population were similar to those of patients with biopsy data available, except for numerical differences between posterior rhinorrhea in the morning (Table 1, Table S2). Baseline demographics and/or clinical characteristics were also comparable between treatment groups in both the overall population and biopsy subgroup, except for numerical differences between total IgE in serum, and ECP and total IgE in nasal secretions (overall population), and posterior rhinorrhea in the morning (biopsy subgroup) (Table 1, Table S2). The majority of patients in both the placebo (80%) and dupilumab (83.3%) groups completed the study.32 Fourteen patients provided biopsies at baseline, 12 of whom also provided biopsies at Week 16.
Table 1

Baseline characteristics and clinical responses in the biopsy subgroup

Baseline and change from baseline at Week 16
Placebo + MFNS (n = 4)Dupilumab + MFNS (n = 8)Absolute difference from baseline vs placebo, LS mean (95% CI) P value vs placebo
Baseline, mean (SD)Change from baseline at Week 16, LS mean (SE)Baseline, mean (SD)Change from baseline at Week 16, LS mean (SE)
Bilateral endoscopic NPS6.25 (0.50)−0.77 (0.85)5.63 (1.19)−1.83 (0.59)−1.06 (−3.43, 1.31)0.3391
Lund–Mackay total score18.25 (3.95)1.10 (1.49)18.13 (4.76)−9.52 (1.01)−10.62 (−14.70, −6.54)0.0005
Percentage of maxillary sinus volume occupied by disease72.20 (24.50)6.46 (9.03)61.54 (25.30)−33.43 (5.98)−39.89 (−64.38, −15.39)0.0063
PNIF (AM)108.21 (88.57)0.11 (21.35)108.38 (66.18)57.36 (15.28)57.25 (−2.05, 116.54)0.0568
SNOT‐22 score42.50 (25.89)−0.60 (7.49)45.50 (13.61)−32.11 (5.68)−31.52 (−55.12, −7.91)0.0177
Sinusitis symptom severity assessed on VAS, cm6.20 (1.84)1.13 (1.41)5.46 (3.02)−3.65 (0.77)−4.78 (−8.99, −0.58)0.0332
Sense of smell assessed by UPSIT12.00 (2.16)−2.27 (3.58)14.38 (8.60)9.84 (2.61)12.11 (1.74, 22.48)0.0277
Nasal congestion or obstruction (AM)1.61 (0.66)−0.11 (0.38)1.82 (0.57)−0.93 (0.29)−0.81 (−1.90, 0.27)0.1220
Posterior rhinorrhea (AM)2.32 (0.47)−0.03 (0.31)1.20 (1.03)−0.64 (0.21)−0.61 (−1.52, 0.30)0.1650
Serum total IgE, IU/mL151.75 (125.84)10.47 (17.04)142.50 (119.29)−61.17 (13.92)−71.63 (−124.94, −18.33)0.0163
Serum TARC, pg/mL425.09 (305.46)36.12 (108.45)441.94 (256.06)4.94 (97.00)−31.18 (−387.31, 324.96)0.8375
Plasma eotaxin‐3,a pg/mL56.75 (14.78)7.86 (6.24)65.70 (30.70)−20.26 (5.24)−28.12 (−48.03, −8.21)0.0131
Blood eosinophil count, × 109/L0.29 (0.18)0.03 (0.08)0.32 (0.20)−0.04 (0.06)−0.07 (−0.38, 0.24)0.5199

AM, in the morning; CI, confidence interval; IgE, immunoglobulin E; IU, international units; LS, least squares; MFNS, mometasone furoate nasal spray; NPS, nasal polyp score; PNIF, peak nasal inspiratory flow; SD, standard deviation; SE, standard error; SNOT‐22, 22‐item Sino‐Nasal Outcome Test; TARC, thymus and activation‐regulated chemokine; UPSIT, University of Pennsylvania Smell Identification Test; VAS, visual analog scale.

For plasma eotaxin‐3 data, heterogeneous compound symmetry covariance structure was used instead of unstructured covariance structure, as the model with unstructured covariance structure does not converge.

Baseline characteristics and clinical responses in the biopsy subgroup AM, in the morning; CI, confidence interval; IgE, immunoglobulin E; IU, international units; LS, least squares; MFNS, mometasone furoate nasal spray; NPS, nasal polyp score; PNIF, peak nasal inspiratory flow; SD, standard deviation; SE, standard error; SNOT‐22, 22‐item Sino‐Nasal Outcome Test; TARC, thymus and activation‐regulated chemokine; UPSIT, University of Pennsylvania Smell Identification Test; VAS, visual analog scale. For plasma eotaxin‐3 data, heterogeneous compound symmetry covariance structure was used instead of unstructured covariance structure, as the model with unstructured covariance structure does not converge.

Safety

Safety outcomes were previously reported in the overall population of this study.32 The most common treatment‐emergent adverse events were mild‐to‐moderate nasopharyngitis, injection‐site reactions, and headache, and were reported more frequently in the dupilumab treatment group vs placebo.

Nasal secretion analysis

Dupilumab treatment was associated with overall decreases in nasal secretion concentrations of eotaxin‐3, total IgE, and ECP (mean changes from baseline shown in Figure 1). The mean AUC0‐16 for changes from baseline values, when adjusted for covariates, was significantly lower vs placebo for levels of eotaxin‐3 (LS mean AUC0‐16 [±SE]: −30.06 [5.9] vs −0.86 [6.6] pg/mL; P = 0.0008) and total IgE (−7.90 [1.9] vs −1.86 [2.1] IU/mL; P = 0.0221) in nasal secretions of the overall population. The decrease in ECP in the dupilumab group compared to placebo did not reach statistical significance (−5.82 [4.3] vs −3.07 [4.6] ng/mL; P = 0.6364). In the dupilumab group, the mean absolute total IgE, ECP, and eotaxin‐3 concentrations in nasal secretions at baseline were numerically higher than in the placebo group and declined over time, reaching concentrations either similar to or lower than the placebo group at Week 16 (Table S3)
Figure 1

Biomarker concentrations in nasal secretions from patients with CRSwNP in the overall study population. Mean changes from baseline to Week 16 in (A) total IgE, (B) eotaxin‐3, and (C) ECP concentrations. ECP, eosinophil cationic protein; IgE, immunoglobulin E; IU, international units; MFNS, mometasone furoate nasal spray; SE, standard error. *P < 0.05; **P < 0.001 vs placebo. P values are nominal, not corrected for multiplicity, and based on the LS mean differences in AUC0‐16 between patients in the dupilumab group vs the placebo group

Biomarker concentrations in nasal secretions from patients with CRSwNP in the overall study population. Mean changes from baseline to Week 16 in (A) total IgE, (B) eotaxin‐3, and (C) ECP concentrations. ECP, eosinophil cationic protein; IgE, immunoglobulin E; IU, international units; MFNS, mometasone furoate nasal spray; SE, standard error. *P < 0.05; **P < 0.001 vs placebo. P values are nominal, not corrected for multiplicity, and based on the LS mean differences in AUC0‐16 between patients in the dupilumab group vs the placebo group

Clinical responses in biopsy subgroup

In the biopsy subgroup (and consistent with that previously reported for the overall study population32), dupilumab significantly improved radiographic and patient‐reported measures of disease activity after 16 weeks of treatment vs placebo, including the Lund‐Mackay total score, percentage of maxillary sinus volume occupied by disease, SNOT‐22 score, sinusitis symptom severity assessed by the visual analog scale, and sense of smell assessed by UPSIT, and significantly reduced circulating concentrations of total IgE and eotaxin‐3 (P < 0.05 for all; Table 1). In this small subset of patients, improvements in bilateral endoscopic NPS, peak nasal inspiratory flow in the morning, and nasal congestion or obstruction in the morning and posterior rhinorrhea in the morning, as well as shifts in blood eosinophil counts and serum TARC on dupilumab, were not significantly different with dupilumab vs placebo (Table 1).

Tissue homogenate analysis

Dupilumab treatment was associated with significantly lower total IgE (P = 0.023), ECP (P = 0.008), eotaxin‐2 (P = 0.008), eotaxin‐3 (P = 0.031), PARC (P = 0.016), and IL‐13 (P = 0.031) concentrations in tissue homogenates of the biopsy subgroup (n = 8) at the end of treatment compared with baseline (Figure 2). No significant differences were found in the levels of IL‐6, IL‐1β, eotaxin‐1, IL‐4, IL‐5, IL‐10, IL‐17, IL‐33, TNF‐α, or TARC compared with baseline for dupilumab (Table S4). Furthermore, significant differences in median changes from baseline with dupilumab vs placebo treatment at Week 16 were found for eotaxin‐1 (P < 0.05), PARC (P < 0.01), and ECP (P < 0.01) (Figure 3). No significant differences were found for IL‐6, IL‐33, SE‐IgE, TARC, total IgE, eotaxin‐2 and 3, IL‐1b, IL‐4, IL‐5, IL‐6, IL‐10, IL‐13, IL‐17, and IL‐33 (Table S5). Overall, no consistent modulation pattern was observed in the placebo group between baseline and end of treatment for any of these biomarkers in the tissue homogenates, with a limited sample size (n = 4) (Figures 2, 3).
Figure 2

Biomarker concentrations in the nasal polyp tissue biopsies of patients with CRSwNP in the biopsy subgroup. Concentrations at baseline and Week 16 (end of treatment) in the dupilumab (n = 8) and placebo (n = 4) groups. (A) Total IgE, (B) ECP, (C) eotaxin‐2, (D) eotaxin‐3, (E) PARC, and (F) IL‐13. ECP, eosinophil cationic protein; IgE, immunoglobulin E; IL, interleukin; PARC, pulmonary and activation‐regulated chemokine. P values for end of treatment vs baseline are reported

Figure 3

Biomarker concentrations in the nasal polyp tissue biopsies of patients with CRSwNP in the biopsy subgroup. Median changes from baseline at Week 16 (end of treatment) in the dupilumab (n = 8) and placebo (n = 4) groups in (A) ECP, (B) eotaxin‐1, and (C) PARC concentrations. CRSwNP, chronic rhinosinusitis with nasal polyposis; ECP, eosinophil cationic protein; PARC, pulmonary and activation‐regulated chemokine. P values are nominal, not corrected for multiplicity. Error bars represent the interquartile range

Biomarker concentrations in the nasal polyp tissue biopsies of patients with CRSwNP in the biopsy subgroup. Concentrations at baseline and Week 16 (end of treatment) in the dupilumab (n = 8) and placebo (n = 4) groups. (A) Total IgE, (B) ECP, (C) eotaxin‐2, (D) eotaxin‐3, (E) PARC, and (F) IL‐13. ECP, eosinophil cationic protein; IgE, immunoglobulin E; IL, interleukin; PARC, pulmonary and activation‐regulated chemokine. P values for end of treatment vs baseline are reported Biomarker concentrations in the nasal polyp tissue biopsies of patients with CRSwNP in the biopsy subgroup. Median changes from baseline at Week 16 (end of treatment) in the dupilumab (n = 8) and placebo (n = 4) groups in (A) ECP, (B) eotaxin‐1, and (C) PARC concentrations. CRSwNP, chronic rhinosinusitis with nasal polyposis; ECP, eosinophil cationic protein; PARC, pulmonary and activation‐regulated chemokine. P values are nominal, not corrected for multiplicity. Error bars represent the interquartile range

DISCUSSION

CRSwNP is characterized by a type 2‐predominant eosinophilic endotype in most patients. The presence of high levels of total IgE and IL‐5 in the nasal tissues and secretions of patients with CRSwNP, along with increased recognition of their respective roles in inflammation, has led to the testing of mAbs specifically targeting IgE (omalizumab) or IL‐5 (mepolizumab) in trials. These therapeutic agents reduced the signs and symptoms of CRSwNP.18, 19, 33, 34 However (with the exception of periostin), local reductions in IL‐5, ECP, or total IgE levels in nasal secretions and homogenates were not demonstrated with these therapeutic agents.34, 35 We recently reported that dupilumab, an IL‐4Rα inhibitor that blocks IL‐4 and IL‐13 signaling, was well tolerated, reduced polyp size, and rapidly improved smell in patients with CRSwNP.32 The post hoc analyses reported here were conducted to further investigate the local effects of dupilumab on eosinophilic inflammation and obtain more information on the relationship between local and serum levels of type 2 chemokines and total IgE in patients with CRSwNP. Dupilumab treatment was associated with a significant decrease in biomarkers of type 2 inflammation, including total IgE and eotaxin‐3, in nasal secretions, as well as a decrease in ECP that did not reach statistical significance, vs placebo. In nasal polyp homogenates, dupilumab significantly reduced total IgE, the chemokines eotaxin‐2, eotaxin‐3, and PARC, and ECP concentrations at Week 16 compared with baseline, and eotaxin‐1, ECP, and PARC only when compared as mean changes from baseline at Week 16 vs placebo; similar trends were not observed with placebo. These data suggest that dupilumab not only reduces mucosal IgE production via antagonism of IL‐4Rα signaling, but most likely also affects the eosinophil pathway locally via suppression of eosinophil chemokine release; this is consistent with prior observations of increased levels of total IgE, ECP, and eosinophils in nasal polyps that may respond to therapy.5 We have previously reported that dupilumab markedly lowers total IgE and eotaxin‐3 levels in the blood of patients with CRSwNP.32 Thus, dupilumab demonstrates both systemic and local effects on these markers of type 2 inflammation in CRSwNP. Eosinophil cationic protein is a cytotoxic ribonuclease produced and released by degranulating eosinophils. ECP concentrations are associated with the number of activated eosinophils in the blood.36 Elevation in eosinophil activity has not been completely elucidated, though it is elevated in CRSwNP and asthma, as well as other eosinophilic inflammatory diseases.6, 36 An increase in ECP concentrations in nasal mucosa may cause epithelial damage. Supporting this hypothesis, high concentrations of ECP have been reported in recurrent CRSwNP.6, 36 Dupilumab treatment resulted in a significant reduction in ECP concentrations in nasal polyp tissue at Week 16 compared with baseline, with a decline in ECP levels that did not reach statistical significance in nasal secretions, suggesting a decrease in local eosinophil activation. However, because of insufficient tissue, the effect of dupilumab on local eosinophil counts could not be determined. Dupilumab significantly reduced the concentrations of eotaxin chemokines in both plasma32 and nasal secretions in patients with CRSwNP. Eotaxin levels are elevated in CRSwNP and other allergic and eosinophilic diseases such as asthma and AD.37 The eotaxin family consists of eotaxin‐1 (CCL11), eotaxin‐2 (CCL24), and eotaxin‐3 (CCL26), all of which are potent chemotactic factors for eosinophils and other inflammatory cells that express their receptors, and are released from epithelial cells following exposure to IL‐4 and IL‐13.38, 39 Eotaxins act on eosinophils and T lymphocytes to prolong the survival of eosinophils via the production and secretion of type 2‐associated cytokines37 and mediate transepithelial eosinophil migration and activation.40, 41 Eotaxin‐3, in particular, has been suggested to be an important recruiter of eosinophils in asthma,42 eosinophilic esophagitis,43 and nasal polyposis.44 Inhibiting IL‐4/IL‐13 signaling with dupilumab blockade of IL‐4Rα resulted in a decrease of eotaxin‐2 in nasal polyp tissue and eotaxin‐3 in both nasal polyp tissue and secretions. PARC (also known as CCL18, MIP‐4, AMAC‐1, and DC‐CK1) is elevated in patients with CRSwNP.45 Secreted by mast cells, monocytes, dendritic cells, and macrophages, its expression is regulated by IL‐4 and IL‐13, as well as IL‐10. PARC is chemotactic for multiple cell types, including Th2‐cells, naive T cells, and dendritic cells. PARC is highly expressed in inflammatory diseases such as asthma and AD.23, 46, 47 In this substudy, dupilumab significantly reduced PARC concentrations in nasal polyp tissue compared with baseline, suggesting IL‐4 and IL‐13 are key drivers of tissue infiltration of not only eosinophils, but also other inflammatory cell types implicated in CRSwNP pathobiology. Overall, these effects of dupilumab on biomarkers are consistent with blockade of IL‐4Rα and indicate a local anti‐inflammatory effect in the nose and sinuses. A possible mechanism for reducing eosinophil infiltration and activation in tissues, suggested by reduced levels of eotaxins in nasal secretions and polyps, may be downregulation of the chemotactic gradient, signaling eosinophil migration from the bloodstream into the tissue. Such a mechanism is further supported by the transient increase in eosinophils observed in blood shortly after the start of dupilumab treatment.32 Clinical improvements in the subgroup with polyp biopsies (n = 8) were comparable to those observed in the overall treatment group (n = 30) before and after 16 weeks of dupilumab treatment (LS mean differences vs placebo at Week 16 [95% CI] in NPS and SNOT‐22 score in biopsy subgroup vs total population: −1.06 [−3.43, 1.31] vs −1.55 [−2.43, −0.67] and −31.52 [−55.12, −7.91] vs −18.11 [−25.62, −10.60], respectively), suggesting that reductions in local inflammation biomarkers were attended by parallel improvements in symptoms and reduction in polypoid mass, as assessed by endoscopic exam and CT imaging. However, in contrast to the overall population, not all improvements in the biopsy subgroup were significant due to the small number of patients in the cohort, and no analyses were performed assessing associations between individual‐level improvements in biomarkers with individual‐level reductions in symptoms and polypoid mass. Indeed, a limitation of this study was the small cohort of patients available for nasal secretions and tissue biopsy analyses. In a larger, ongoing phase 3 study (SINUS‐52; ClinicalTrials.gov Identifier: NCT02898454), additional biomarkers in nasal secretions and mRNA expression analyses and cytology of nasal mucosa brushings will be assessed. Another limitation of this study is that it enrolled almost exclusively Caucasian patients; as racial and regional differences in underlying inflammation associated with nasal polyps have been reported,10 the findings for biomarkers in this study may not be universally applicable. Further studies are warranted to investigate dupilumab's mechanisms of action and identify markers of response in greater detail.

CONCLUSIONS

The reduction of multiple inflammatory biomarkers, including total IgE and markers of eosinophilic inflammation, in both nasal secretions and polyp tissues of patients with CRSwNP treated with dupilumab, relative to placebo and baseline, respectively, demonstrated a local effect of dupilumab on type 2 disease mechanisms, which were consistent with overall, parallel improvements in nasosinal symptoms and reductions in polypoid tissue. This suggests that the antagonism of IL‐4Rα signaling with dupilumab leads to clinical benefits that are mediated by reductions in underlying type 2 mucosal inflammation, although further analyses in larger patient populations are required to confirm these findings. Overall, we demonstrate that dupilumab has a broad mechanism of action, with its ability to target two central driver cytokines of type 2 inflammation, which might be more advantageous than targeting a single type 2 cytokine (eg, IL5 or IL13 alone) or solely targeting total IgE for the treatment of atopic diseases.

CONFLICTS OF INTEREST

K. Jonstam is the sub‐investigator of the study. B.N. Swanson, L. Mannent L, N. Tian, Y. Wang, D. Zhang, C. Fan, A. Grabher, and G. Pirozzi are employees of and may hold stock and/or stock options in Sanofi. L‐O. Cardell is an associate investigator of the study. G. Holtappels has nothing to disclose. J.D. Hamilton and N.M.H. Graham are employees and shareholders of Regeneron Pharmaceuticals, Inc. C. Bachert is the principal investigator of the study.

AUTHOR CONTRIBUTIONS

K.J., G.H., B.N.S., L.P.M., J.D.H., A.G., N.M.H.G., G.P., and C.B. involved in study concept and design. K.J., G.H., B.N.S., L.P.M., L‐O.C., N.T., Y.W., D.Z., C.F., J.D.H., A.G., N.M.H.G., G.P., and C.B. contributed to the acquisition, analysis, or interpretation of data. K.J. drafted the manuscript. K.J., G.H., B.N.S., L.P.M., L‐O.C., N.T., Y.W., D.Z., C.F., J.D.H., A.G., N.M.H.G., G.P., and C.B. performed critical revision of the manuscript for important intellectual content. All authors approved the manuscript for submission. Table S1. Study outcomes Click here for additional data file.
  48 in total

1.  Efficacy of omalizumab in the treatment of nasal polyps.

Authors:  María del Carmen Vennera; César Picado; Joaquim Mullol; Isam Alobid; Manuel Bernal-Sprekelsen
Journal:  Thorax       Date:  2010-11-25       Impact factor: 9.139

2.  IL-33-responsive innate lymphoid cells are an important source of IL-13 in chronic rhinosinusitis with nasal polyps.

Authors:  Joanne L Shaw; Samer Fakhri; Martin J Citardi; Paul C Porter; David B Corry; Farrah Kheradmand; Yong-Jun Liu; Amber Luong
Journal:  Am J Respir Crit Care Med       Date:  2013-08-15       Impact factor: 21.405

3.  Differences in initial immunoprofiles between recurrent and nonrecurrent chronic rhinosinusitis with nasal polyps.

Authors:  Thibaut Van Zele; Gabriele Holtappels; Philippe Gevaert; Claus Bachert
Journal:  Am J Rhinol Allergy       Date:  2014 May-Jun       Impact factor: 2.467

4.  Eotaxin-3 but not eotaxin gene expression is upregulated in asthmatics 24 hours after allergen challenge.

Authors:  N Berkman; S Ohnona; F K Chung; R Breuer
Journal:  Am J Respir Cell Mol Biol       Date:  2001-06       Impact factor: 6.914

5.  Total and specific IgE in nasal polyps is related to local eosinophilic inflammation.

Authors:  C Bachert; P Gevaert; G Holtappels; S G Johansson; P van Cauwenberge
Journal:  J Allergy Clin Immunol       Date:  2001-04       Impact factor: 10.793

6.  EPOS 2012: European position paper on rhinosinusitis and nasal polyps 2012. A summary for otorhinolaryngologists.

Authors:  Wytske J Fokkens; Valerie J Lund; Joachim Mullol; Claus Bachert; Isam Alobid; Fuad Baroody; Noam Cohen; Anders Cervin; Richard Douglas; Philippe Gevaert; Christos Georgalas; Herman Goossens; Richard Harvey; Peter Hellings; Claire Hopkins; Nick Jones; Guy Joos; Livije Kalogjera; Bob Kern; Marek Kowalski; David Price; Herbert Riechelmann; Rodney Schlosser; Brent Senior; Mike Thomas; Elina Toskala; Richard Voegels; De Yun Wang; Peter John Wormald
Journal:  Rhinology       Date:  2012-03       Impact factor: 3.681

7.  Differentiation of chronic sinus diseases by measurement of inflammatory mediators.

Authors:  T Van Zele; S Claeys; P Gevaert; G Van Maele; G Holtappels; P Van Cauwenberge; C Bachert
Journal:  Allergy       Date:  2006-11       Impact factor: 13.146

8.  Two Phase 3 Trials of Dupilumab versus Placebo in Atopic Dermatitis.

Authors:  Eric L Simpson; Thomas Bieber; Emma Guttman-Yassky; Lisa A Beck; Andrew Blauvelt; Michael J Cork; Jonathan I Silverberg; Mette Deleuran; Yoko Kataoka; Jean-Philippe Lacour; Külli Kingo; Margitta Worm; Yves Poulin; Andreas Wollenberg; Yuhwen Soo; Neil M H Graham; Gianluca Pirozzi; Bolanle Akinlade; Heribert Staudinger; Vera Mastey; Laurent Eckert; Abhijit Gadkari; Neil Stahl; George D Yancopoulos; Marius Ardeleanu
Journal:  N Engl J Med       Date:  2016-09-30       Impact factor: 91.245

Review 9.  The cytokine network in asthma and chronic obstructive pulmonary disease.

Authors:  Peter J Barnes
Journal:  J Clin Invest       Date:  2008-11       Impact factor: 14.808

10.  Dupilumab reduces local type 2 pro-inflammatory biomarkers in chronic rhinosinusitis with nasal polyposis.

Authors:  Karin Jonstam; Brian N Swanson; Leda P Mannent; Lars-Olaf Cardell; Nian Tian; Ying Wang; Donghui Zhang; Chunpeng Fan; Gabriele Holtappels; Jennifer D Hamilton; Annette Grabher; Neil M H Graham; Gianluca Pirozzi; Claus Bachert
Journal:  Allergy       Date:  2019-01-21       Impact factor: 13.146

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  36 in total

Review 1.  The use of biologics for immune modulation in allergic disease.

Authors:  Willem van de Veen; Mübeccel Akdis
Journal:  J Clin Invest       Date:  2019-03-18       Impact factor: 14.808

Review 2.  Are We Meeting the Promise of Endotypes and Precision Medicine in Asthma?

Authors:  Anuradha Ray; Matthew Camiolo; Anne Fitzpatrick; Marc Gauthier; Sally E Wenzel
Journal:  Physiol Rev       Date:  2020-01-09       Impact factor: 37.312

3.  Dupilumab (Dupixent®) tends to be an effective therapy for uncontrolled severe chronic rhinosinusitis with nasal polyps: real data of a single-centered, retrospective single-arm longitudinal study from a university hospital in Germany.

Authors:  Florian Jansen; Benjamin Becker; Jördis K Eden; Philippe C Breda; Amra Hot; Tim Oqueka; Christian S Betz; Anna S Hoffmann
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-10-15       Impact factor: 3.236

4.  Longitudinal stability of chronic rhinosinusitis endotypes.

Authors:  Kristen L Yancey; Ping Li; Li-Ching Huang; Quanhu Sheng; Rakesh K Chandra; Naweed I Chowdhury; Justin H Turner
Journal:  Clin Exp Allergy       Date:  2019-10-03       Impact factor: 5.018

Review 5.  Mechanisms of Dupilumab.

Authors:  Hani Harb; Talal A Chatila
Journal:  Clin Exp Allergy       Date:  2019-09-30       Impact factor: 5.018

6.  Biologics for chronic rhinosinusitis.

Authors:  Lee-Yee Chong; Patorn Piromchai; Steve Sharp; Kornkiat Snidvongs; Katie E Webster; Carl Philpott; Claire Hopkins; Martin J Burton
Journal:  Cochrane Database Syst Rev       Date:  2021-03-12

Review 7.  Local immunoglobulin production in nasal tissues: A key to pathogenesis in chronic rhinosinusitis with nasal polyps and aspirin-exacerbated respiratory disease.

Authors:  Kathleen M Buchheit; Kathryn E Hulse
Journal:  Ann Allergy Asthma Immunol       Date:  2020-10-13       Impact factor: 6.347

8.  Novel Anti-Cytokine Strategies for Prevention and Treatment of Respiratory Allergic Diseases.

Authors:  Ekaterina O Gubernatorova; Olga A Namakanova; Ekaterina A Gorshkova; Alexandra D Medvedovskaya; Sergei A Nedospasov; Marina S Drutskaya
Journal:  Front Immunol       Date:  2021-05-18       Impact factor: 7.561

9.  Effect of modified endoscopic sinus surgery combined with middle turbinate resection on olfactory function and stress response in patients with refractory chronic rhinosinusitis with nasal polyps.

Authors:  Bin Su; Qianqian Han; Xiaoxin Xi; Zining Zhou
Journal:  Am J Transl Res       Date:  2022-02-15       Impact factor: 4.060

10.  Dupilumab treatment for allergic bronchopulmonary aspergillosis: A case series.

Authors:  Richard Paul Ramonell; F Eun-Hyung Lee; Colin Swenson; Merin Kuruvilla
Journal:  J Allergy Clin Immunol Pract       Date:  2019-12-04
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