Abstract
In cystic fibrosis (CF) therapy, the recent approval of CF-transmembrane conductance regulator (CFTR) channel modulators is considered to be the major breakthrough. However, the current first-line approach based mainly on pulmonary function to measure effects of the novel therapy, tested by forced expiratory volumes in one second (FEV1), provides restricted sensitivity to detect early structural damages. Accordingly, there is a need for new sensitive surrogate parameters. Most interestingly, these should quantify inflammation that precedes a decline of pulmonary function. We present a novel method assessing inflammatory markers in the upper airways’ epithelial lining fluid (ELF) obtained by nasal lavage (NL). In contrast to broncho-alveolar lavage, ELF sampling by NL is an attractive method due to its limited invasiveness which allows repeated analyses, even performed in a home-based setting. In a longitudinal cohort study (ClinicalTrials.gov, Identifier: NCT02311140), we assessed changes of inflammatory mediators in 259 serially obtained nasal lavages taken up to every second day before and during therapy with ivacaftor from ten CF patients carrying a G551D mutation. Patients were trained to sample NL-fluid at home, to immediately freeze and transfer chilled secretions to centers. Neutrophil Elastase, Interleukins IL-1β, IL-6 and IL-8 in NL were quantified. During 8-12 weeks of ivacaftor-treatment, median values of IL-1β and IL-6 significantly declined 2.29-fold (2.97→1.30 pg/mL), and 1.13-fold (6.48→5.72 pg/mL), respectively. In parallel, sweat tests and pulmonary function improved considerably. This is the first study assessing changes of airway inflammation on a day-to-day basis in CF patients receiving a newly administered CFTR-modulator therapy. It proves a decline of airway inflammation during ivacaftor-therapy.
Keywords: cystic fibrosis, CFTR, modulation, inflammation, sampling, cytokines, nasal lavage
Introduction
Cystic fibrosis (CF) is the most frequent lethal inherited disease in the Caucasian population and is caused by a defective cystic fibrosis transmembrane conductance regulator gene (CFTR). This gene encodes an ion channel located at apical membranes of exocrine glands. Loss or altered function of CFTR results in impaired transport of chloride and sodium, bicarbonate, and water. As a consequence, progressive pulmonary destruction by viscous secretions, impaired mucociliary clearance, and pathogen colonization results in a vicious circle of chronic inflammation and leads to premature death in almost 90% of CF patients.
Modulation of the impaired transmembrane conductance regulator (CFTR) protein (1, 2) was a major breakthrough. Initially and for long the most effective modulator treatment, the CFTR potentiator ivacaftor was approved for CF patients carrying the rare G551D CFTR mutation (1). It increases Cl- secretion in cultured human CF bronchial epithelia carrying the gating mutation G551D by approximately 10-fold, reaching almost 50% of the secretory potential found in non-CF human bronchial epithelia. Furthermore, ivacaftor reduces excessive Na+ and fluid absorption, preventing dehydration of the apical surface and increasing cilia beating in epithelial cultures (3). In CF patients carrying a G551D mutation, ivacaftor improves lung function, pulmonary exacerbation rate, respiratory symptoms, and weight gain when compared to placebo (1, 4). Following this success in rare mutations like G551D (1, 5), research focused on developing modulators for more frequent CFTR mutations. Recently, the triple combination of elexacaftor-tezacaftor-ivacaftor has been approved in the US and some European countries for patients carrying the frequent CFTR-mutation F508del (2, 6).
CFTR modulators’ effects on the abnormal and exaggerated inflammation in CF are presently poorly understood. In both, cell and in vivo studies, no consensus has been reached as to whether CFTR modulation can control such an abnormal inflammatory response (7–9). Only two studies in humans assessed the effects of ivacaftor on inflammatory marker’s levels in sputum from CF patients carrying the mutation G551D (10, 11), and a more recent one focused on the effect of CFTR-modulator combinations, ivacaftor/lumacaftor and ivacaftor/tezacaftor, on the inflammatory response in serum from F508del-homozygous CF patients (12).
Conclusions from the two studies on ivacaftor effects on the cytokines IL-1β and IL-8 contradict each other, albeit their agreement on the reduced rate of infections by P.aeruginosa during the first year of ivacaftor therapy. While Rowe et al. found no significant changes in measures of both inflammation markers at baseline and six months after ivacaftor therapy initiation (11), the longitudinal study by Hisert et al. revealed a decreasing trend in both parameters over a 600-day period (10). In the study involving F508del-homozygous CF patients, only the combination ivacaftor/tezacaftor was observed to reduce IL-1β levels after three months. Interestingly, both combinations, ivacaftor/lumacaftor and ivacaftor/tezacaftor, reduced IL-18 levels in this group of CF patients after the three-month period (12).
Motivated by these discrepancies, in the present study we analyzed early changes in inflammatory markers in shorter intervals. For matters of non-invasiveness and repeatability, we opted for serial home-based nasal lavage (NL) as a means to assess early changes in the upper airway (UAW) fluid of CF patients with a G551D mutation prior to and during novel treatment with ivacaftor. NL has proved to be an easy, non-invasive, and repeatable means to sample NL fluid (NLF) (13, 14), facilitating close monitoring of inflammatory dynamics and assessment of early changes. In a previous study, we used NL to show that concentrations of soluble inflammatory markers result to be higher in CF patients than in healthy controls (15). Furthermore, by means of NL, we have shown that interleukins (IL)-1β, IL-6 and IL-8 are elevated in UAWs colonized by S.aureus and P.aeruginosa (16) which significantly decreased during antibiotic treatment (17). The primary outcome parameter in most studies for approval of CFTR modulators was FEV1. In adult patients with a G551D mutation, FEV1 improved by 10-12% predicted, based on an overall FEV1 of 40-90% predicted as inclusion criterion (1). However, in early stages of the respiratory disease, FEV1 is insensitive to detect changes because airway inflammation and infections precede the decline of pulmonary function (18). Secondly, FEV1 fails to sufficiently represent irreversible structural damage and bronchiectasis (19). Consequently, new surrogate parameters are required to assess effects of CFTR modulators.
CF patients’ UAW mucosa is an attractive site for monitoring CF disease status as it exhibits the same epithelial CFTR defect as in the lower airway (LAW) (20, 21). Patients’ nasal histology, regularly displaying inflammatory changes and pathologies in sinonasal CT-scans, has therefore always been a hallmark of CF (20). In previous studies, nasal potential difference measurement proved to be sensitive to quantify effectiveness of ivacaftor in patients with G551D but this electrophysiological method is limited for its complexity (22). On the other hand, direct measurement of inflammatory markers in bronchial epithelial lining fluid obtained through broncho-alveolar lavage (BAL) (18) is limited for its invasiveness.
In a previous cross-sectional study involving 187 CF patients of all ages, we identified NL as the most sensitive sampling technique to monitor UAW-pathogen-colonization (13) compared to nasal swabs. According to our standard operation procedures (SOPs), put forward in a previous publication, NL is performed by instilling 10 mL of isotonic NaCl into each nostril with closed soft palate ( Figures 1A–E ) (14), an easy technique well accepted by almost all of our patients. Consequently, we routinely monitored CF patients’ sinonasal colonization by NL during the last decade at the Jena University CF-center. Hereby, we identified patients manifesting isolated primary sinonasal colonization with P.aeruginosa (23). Furthermore, after lung transplantation, we proved pathogen persistence in the UAW, from where they spread to primarily P.aeruginosa-free transplanted organs (24). It is noteworthy that we assessed effects of sampling, processing and storage methods on inflammatory markers in NL implementing our findings in SOPs, e.g. a video for researchers and patients (14) facilitating standardization of home-based, day-to-day sampling.
The objective of this study is to examine serial home-based NL as a means to assess early changes in inflammatory markers at shorter intervals in the UAW-fluid of CF patients with a G551D mutation, prior to and during novel treatment with ivacaftor. At the same time, our aim is to shed light on the controversial discussion whether CFTR modulators have anti-inflammatory effects.
Material and Methods
Enrollment of Patients
In this longitudinal trial, 10 CF patients with a G551D mutation, newly receiving ivacaftor 150 mg bid, as approved (1), were included in the Jena (Germany) and Innsbruck (Austria) University CF centers. Inclusion criteria were: CF patients’ age ≥ 6 years with a diagnosis confirmed by two positive sweat tests and/or detection of two disease-causing CFTR mutations; one of them being G551D. Patients were required to strictly follow the procedures defined in the SOPs and they and/or their parents gave informed written consent prior to enrolment. Exclusion criteria were: inability to perform NL in a standardized manner as described below, contraindication for ivacaftor, pregnancy or breast-feeding, and participation in another clinical study within 30 days prior to study drug administration.
Nasal Lavage
Patients were thoroughly trained to perform NL in standardized home-based conditions ( Figures 1A–C ) by using the instruction-video from our publication in Journal of Immunological Methods 2014 (14) and an illustrated SOP sheet. The pooled native NLF was transferred into disposed reaction tubes containing 15 µL of protease inhibitor ( Figures 1D, E ) and, within 30 minutes after sampling, stored in a freezer below -18°C until transfer on ice to the centers. Here, the vials were directly stored at - 80°C until performance of laboratory analyses.
Prior to the initiation of ivacaftor therapy, NL was collected at least once a week (mean: 5.5 ± 3.9 samplings/patient) during a mean time of 30.3 ± 19.7 days. During the first month of therapy (days 0-30), NL was collected every second day and once/week from month two onward (mean: 25.9 ± 4.1 samplings/patient). Follow-up range after initiation of ivacaftor: 2.3-16.1 months, (median: 5.7 months).
Assessment of Inflammatory Mediators
Concentrations of IL-1β, IL-6, and IL-8 were measured in undiluted NL fluid using Milliplex® MAP Kits (Human High Sensitivity HS TCMAG-28K, Merck Millipore; Darmstadt, Germany) and a Bio-Plex® 200 system (Bio-Rad; Hercules, California, USA) according to the manufacturer’s instructions. Measurements of Neutrophil Elastase (NE) were performed using Human PMN Elastase ELISA (DEH3311, Demeditec Diagnostics GmbH; Kiel, Germany) and read by a FLUOstar Galaxy spectrometer (BMG LABTECH GmbH; Offenburg, Germany). As specified by the manufacturer, lower detection limits were 0.12 pg/mL (IL-1β), 0.13 pg/mL (IL-6), 0.12 pg/mL (IL-8), and 0.2 ng/mL (NE).
Statistical Analyses
Descriptive statistics were used to describe clinical characteristics of the study population. Linear mixed-effects models were performed to analyze overall trends of inflammatory markers. To smooth effects caused by outliers in inflammatory marker values, individual changes regarding cumulative periods for each patient were determined by calculating medians for the time periods before and after treatment initiation (i.e. regarding periods of 4, 8 and 12 weeks during treatment as shown in Figure 2 ). The resulting individual patients’ medians were used to calculate medians and interquartile ranges (IQR) of the entire cohort at the end of the above-mentioned time periods. Wilcoxon signed-rank test (two-tailed) was applied to determine changes in the aforementioned inflammatory mediators, sweat test, FEV1 and their statistical significance (using p<0.05) during the new therapy. All statistical analyses were performed with IBM SPSS 19 (SPSS Inc., Chicago, IL, USA); figures were created with GraphPad Prism (GraphPad Software Inc., La Jolla, CA, USA).
Results
Cohort Description
Ten participants (6 Jena/4 Innsbruck) were included, of whom 6 were female and 4 were male. At the start of the study, patients were aged 7-45 years (mean age: 16.55 ± 13.42 years). Results of sweat tests and lung function FEV1 were available only from 8 patients. Lung function at baseline, as obtained from those patients, ranged from 0.96 to 4.07 L (mean FEV1: 99.7 ± 20.3% predicted, median: 103.6% predicted, IQR=20.4% predicted).
Analyses of Inflammatory Markers’ Time Trends
Mediator levels for each patient showed a rather dynamic behavior during the entire study period. Figure 2 shows relative changes in IL-1β, IL-6, IL-8 and NE of two individual CF-patient receiving ivacaftor therapy. Given the highly variable behavior of the inflammatory mediators, baseline values for each patient were calculated as the median of the inflammatory marker levels before ivacaftor initiation (mean: 5.5 ± 3.9 samplings/patient).
Analyses of time trends of inflammation markers during the 12 weeks after therapy initiation were performed by using linear mixed-effects models. Downward overall trends with respect to baselines were found in the levels of inflammatory markers IL-1β (p = 0.042) and IL-8 (p = 0.045) ( Figures 3A, B ). Cytokine IL-6 and Neutrophile Elastase levels showed no declining trend over the whole 12-week period.
Change of Inflammatory Mediator Concentrations in Nasal Epithelial Lining Fluid
Comparison of medians before and during treatment revealed that ivacaftor significantly reduced inflammation in NL-fluid. From initiation of the new therapy to weeks 8-12, IL-1β declined 2.29-fold (from 2.97 [IQR=8.02] pg/mL to 1.30 [IQR=1.88] pg/mL, p=0.027) ( Figure 4A ) and IL-6 declined 1.13-fold (from 6.48 [IQR=7.97] pg/mL to 5.72 [IQR=5.86] pg/mL, p=0.037) ( Figure 4B ). IL-8 declined 3.53-fold (from 171.29 [IQR=481.49] pg/mL to 48.56 [IQR=122.94] pg/mL, p=0.037) until weeks 4-8. Although reduction of IL-8 continued after week 8 (57.15 [IQR=108.10] pg/mL), this change did not attain statistical significance in weeks 8-12 ( Figure 4C ). Similarly, changes in NE did not reach significance (from 346.22 [IQR=552.29] ng/mL to 285.47 [IQR=552.17] ng/mL).
Comparison to Changes in Sweat Test and FEV
Sweat test and FEV1 support these results ( Figures 5A, B ). Following the initiation of ivacaftor, mean chloride concentration in sweat declined from 96.31 ± 14.34 mmol/L to 40.1 ± 13.85 mmol/L (p=0.008) (iontophoresis with pilocarpine + chloridometry) and mean FEV1 improved from 99.7 ± 20.3% predicted to 107.6 ± 21.4% predicted (p=0.016).
Discussion
Key Findings
Our novel method for serial home-based sampling of NLF was applied to 10 CF patients carrying a G551D mutation and shows significant declines of IL-1β, 6 and 8 (2.27, 1.13 and 3.53-fold, respectively, p<0.05) during the first 3 months of treatment with ivacaftor. In agreement with these results, FEV1 increased from 99.7 ± 20.3% predicted to 107.6 ± 21.4% predicted, and mean chloride concentration in sweat declined from 96.31 ± 14.34 mmol/L to 40.1 ± 13.85 mmol/L.
Potential of Serial NL Allowing Close Monitoring of Inflammatory Dynamics
This is the first study revealing direct effects on inflammatory markers in the NLF of CF patients with a G551D mutation following ivacaftor treatment. Our results from serial nasal lavages accord well to the longitudinal study by Hisert et al. (10), assessing inflammatory mediators in sputum from 12 adult CF patients carrying a G551D mutation: the authors found a significant decrease of IL-1β, IL-8 and NE levels in sputum during therapy with ivacaftor in a comparable cohort (n=12). Interestingly, decrease of inflammatory measures in sputum began during the first week of treatment, and continued to decline over 2 years, despite an initial mean FEV1% predicted of 64.2% and chronic infection of 8/12 patients with P. aeruginosa and of 2/12 with B. cepacia. Similarly, in the recent study by Jarosz-Griffiths et al., a steady decrease of IL-1β levels was observed in serum from a cohort (n=8) of F508del-homozygous CF patients during three months of the combination ivacaftor/tezacaftor therapy. In the same study, the combinations ivacaftor/tezacaftor and ivacaftor/lumacaftor in two CF-patient cohorts (n=8 and n=13, respectively) were reported to decrease levels of serum IL-18 (12). Furthermore, in vitro, the authors administered both approved dual combinations, i.e. ivacaftor with another CFTR potentiator, to LPS-ATP-stimulated monocytes from CF patients. They found that modulators down-regulate CF-related exaggerated pro-inflammatory responses differently: whereas IL-18 liberation significantly declines with each combination, only ivacaftor/tezacaftor reduces the IL-1β response.
CF, as a multi-organ disease, does not only lead to enhanced inflammation in the upper and lower airway system, as addressed. It also comprises gastrointestinal inflammation, e.g. reflected in elevated calprotectin in stool of people with CF. According to similar results, i.e. the reduction of inflammation in the upper airway in our study and the lower airways and lungs described by Hisert and Jarosz-Griffiths, ivacaftor was found to reduce faecal calprotectin in CF patients carrying a gating mutation (25).
In contrast to our findings, the authors of the “GOAL study” from 2014 did not detect significant changes of inflammatory markers in induced sputum (IS) from 14 patients with a G551D-mutation after six months of ivacaftor therapy (11). In a recent publication by the same research group, those results were expanded upon to compare changes in inflammatory markers from spontaneously expectorated sputum (ES) from an additional cohort (n=17) receiving ivacaftor therapy. Nevertheless, the authors did not find a reduction of inflammatory mediators in sputum obtained from these 31 patients and they state to have confirmed their findings that CFTR modulators lack anti-inflammatory effects (26). However, we estimate methodological limitations to cause these contradicting results. Firstly, in each patient, as little as one sample was taken before and another one 6 months after initiation of ivacaftor. This adds up to a total of 62 samples from the 31 patients included, i.e. 2 × 14 IS samples (initial study) + 2 × 17 ES samples (follow-up study). In contrast, we analyzed a mean of 25.9 ± 4.1 NL-fluid samples from each patient before and during a new therapy with ivacaftor (total: 259 NL samples) to allow a closer monitoring, an early detection of inflammatory changes and to smooth out possible measurement errors. Secondly, single assessment of cytokines in respiratory samples are known to be subject of high variances, e.g. influenced by multiple factors like circadian dynamics, effects of exercise, stress, and infection (27, 28). Variances in patients, which we attribute to such factors, are illustrated in Figures 2A, B including more than 50 samples taken from two patients from our cohort over a period of 200 days. They suggest that not only are high variances observed between patients but also within each patient from day to day, calling for an analysis of longitudinal nature. We would expect that similar variances would arise in sputum measurements, but no serial assessments of induced CF sputa have been performed yet, to our knowledge. Another possible factor causing the discrepancy with our results may be that sampling and processing of induced sputum requires complex SOPs (11) and immediate processing on-site, which can be challenging even in centers routinely processing IS. By inclusion of patients in different recruiting sites, this may be a limiting factor. In contrast, NL-fluid, just like BAL-fluid, can be directly frozen (e.g. with addition of protease inhibitors, as done in our study) and transferred on dry ice to a central laboratory.
Conclusion
We conclude that CFTR modulators have an effect on inflammation in different organ systems involved by CFTR deficiency. In the airway system, serial sampling of NL-fluid, a sensitive non-invasive method that lacks complexity, allows to assess these effects. In contrast to the other mentioned methods to examine inflammation, it thus allows quantification of inflammatory changes on a day-to-day basis, and the patients can implement it even at home. Our approach can therefore add an interesting tool for repeated non-invasive sampling of airway-fluid to quantify early effects of CFTR modulators on airway inflammation.
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 Prof. Dr. Med. Ulrich Brandl, Dr. phil. Ulrike Skorsetz Universitätsklinikum Jena Ethik-Kommission Bachstraße 18 07743 Jena Germany. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.
Author Contributions
Conceptualization: JGM and JH. Project administration: JGM, JH, and HE. Recruitment: CA, HE, JGM, and KW. Data acquisition: KW, CA, TL, and HE. Analysis and interpretation of data: CA, CZ, U-CH, TL, JGM, and FD. Manuscript writing: CA, JGM, JH, CZ, and FD. All authors contributed to the article and approved the submitted version.
Funding
This Investigator Initiated Trial was supported by Vertex Pharmaceuticals, Boston, MA (IIS-2013-103094). This funding source had no role in the design, execution, analysis and interpretation of this study.
Conflict of Interest
JGM reports grants and JGM and HE report speaker/board honoraria from Vertex, outside the submitted work.
The remaining 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.
Acknowledgments
We thank the patients for participation in this project and Dr. Jürgen Sonnemann as well as Prof. Dr. Kurzai and Dr. Kerstin Hünniger for using their laboratories, and Bianca Rabanser for her support in recruiting patients in Innsbruck.
References
- 1. Ramsey BW, Davies J, McElvaney NG, Tullis E, Bell SC, Drevinek P, et al. A CFTR Potentiator in Patients With Cystic Fibrosis and the G551D Mutation. N Engl J Med (2011) 365(18):1663–72. 10.1056/NEJMoa1105185 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Bosch B, De Boeck K. Searching for a Cure for Cystic Fibrosis. A 25-Year Quest in a Nutshell. Eur J Pediatr (2016) 175(1):1–8. 10.1007/s00431-015-2664-8 [DOI] [PubMed] [Google Scholar]
- 3. Van Goor F, Hadida S, Grootenhuis PD, Burton B, Cao D, Neuberger T, et al. Rescue of CF Airway Epithelial Cell Function in Vitro by a CFTR Potentiator, VX-770. Proc Natl Acad Sci U.S.A. (2009) 106(44):18825–30. 10.1073/pnas.0904709106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Davies JC, Wainwright CE, Canny GJ, Chilvers MA, Howenstine MS, Munck A, et al. Efficacy and Safety of Ivacaftor in Patients Aged 6 to 11 Years With Cystic Fibrosis With a G551D Mutation. Am J Respir Crit Care Med (2013) 187(11):1219–25. 10.1164/rccm.201301-0153OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. De Boeck K, Munck A, Walker S, Faro A, Hiatt P, Gilmartin G, et al. Efficacy and Safety of Ivacaftor in Patients With Cystic Fibrosis and a non-G551D Gating Mutation. J Cyst Fibros (2014) 13(6):674–80. 10.1016/j.jcf.2014.09.005 [DOI] [PubMed] [Google Scholar]
- 6. Middleton PG, Mall MA, Drevinek P, Lands LC, McKone EF, Polineni D, et al. Elexacaftor-Tezacaftor-Ivacaftor for Cystic Fibrosis With a Single Phe508del Allele. N Engl J Med (2019) 381(19):1809–19. 10.1056/NEJMoa1908639 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Talebian L, Coutermarsh B, Channon JY, Stanton BA. Corr4A and VRT325 do Not Reduce the Inflammatory Response to P. Aeruginosa in Human Cystic Fibrosis Airway Epithelial Cells. Cell Physiol Biochem (2009) 23(1-3):199–204. 10.1159/000204108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Stanton BA, Coutermarsh B, Barnaby R, Hogan D. Pseudomonas Aeruginosa Reduces VX-809 Stimulated F508del-CFTR Chloride Secretion by Airway Epithelial Cells. PloS One (2015) 10(5):e0127742. 10.1371/journal.pone.0127742 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Ruffin M, Roussel L, Maille E, Rousseau S, Brochiero E. Vx-809/Vx-770 Treatment Reduces Inflammatory Response to Pseudomonas Aeruginosa in Primary Differentiated Cystic Fibrosis Bronchial Epithelial Cells. Am J Physiol Lung Cell Mol Physiol (2018) 314(4):L635–L41. 10.1152/ajplung.00198.2017 [DOI] [PubMed] [Google Scholar]
- 10. Hisert KB, Heltshe SL, Pope C, Jorth P, Wu X, Edwards RM, et al. Restoring Cystic Fibrosis Transmembrane Conductance Regulator Function Reduces Airway Bacteria and Inflammation in People With Cystic Fibrosis and Chronic Lung Infections. Am J Respir Crit Care Med (2017) 195(12):1617–28. 10.1164/rccm.201609-1954OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Rowe SM, Heltshe SL, Gonska T, Donaldson SH, Borowitz D, Gelfond D, et al. Clinical Mechanism of the Cystic Fibrosis Transmembrane Conductance Regulator Potentiator Ivacaftor in G551D-Mediated Cystic Fibrosis. Am J Respir Crit Care Med (2014) 190(2):175–84. 10.1164/rccm.201404-0703OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Jarosz-Griffiths HH, Scambler T, Wong CH, Lara-Reyna S, Holbrook J, Martinon F, et al. Different CFTR Modulator Combinations Downregulate Inflammation Differently in Cystic Fibrosis. Elife (2020) 9:54556. 10.7554/eLife.54556 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Mainz JG, Nährlich L, Schien M, Kading M, Schiller I, Mayr S, et al. Concordant Genotype of Upper and Lower Airways P Aeruginosa and s Aureus Isolates in Cystic Fibrosis. Thorax (2009) 64(6):535–40. 10.1136/thx.2008.104711 [DOI] [PubMed] [Google Scholar]
- 14. Hentschel J, Muller U, Doht F, Fischer N, Boer K, Sonnemann J, et al. 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. 10.1016/j.jim.2013.12.003 [DOI] [PubMed] [Google Scholar]
- 15. Beiersdorf N, Schien M, Hentschel J, Pfister W, Markert UR, Mainz JG. Soluble Inflammation Markers in Nasal Lavage From CF Patients and Healthy Controls. J Cyst Fibros (2013) 12(3):249–57. 10.1016/j.jcf.2012.08.015 [DOI] [PubMed] [Google Scholar]
- 16. Fischer N, Hentschel J, Markert UR, Keller PM, Pletz MW, Mainz JG. non-Invasive Assessment of Upper and Lower Airway Infection and Inflammation in CF Patients. Pediatr Pulmonol (2014) 49(11):1065–75. 10.1002/ppul.22982 [DOI] [PubMed] [Google Scholar]
- 17. Doht F, Hentschel J, Fischer N, Lehmann T, Markert UR, Boer K, et al. Reduced Effect of Intravenous Antibiotic Treatment on Sinonasal Markers in Pulmonary Inflammation. Rhinology (2015) 53(3):249–59. 10.4193/Rhin14.300 [DOI] [PubMed] [Google Scholar]
- 18. Paul K, Rietschel E, Ballmann M, Griese M, Worlitzsch D, Shute J, et al. Effect of Treatment With Dornase Alpha on Airway Inflammation in Patients With Cystic Fibrosis. Am J Respir Crit Care Med (2004) 169(6):719–25. 10.1164/rccm.200307-959OC [DOI] [PubMed] [Google Scholar]
- 19. Mott LS, Park J, Murray CP, Gangell CL, de Klerk NH, Robinson PJ, et al. Progression of Early Structural Lung Disease in Young Children With Cystic Fibrosis Assessed Using CT. Thorax (2012) 67(6):509–16. 10.1136/thoraxjnl-2011-200912 [DOI] [PubMed] [Google Scholar]
- 20. Tipirneni KE, Woodworth BA. Medical and Surgical Advancements in the Management of Cystic Fibrosis Chronic Rhinosinusitis. Curr Otorhinolaryngol Rep (2017) 5(1):24–34. 10.1007/s40136-017-0139-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Gysin C, Alothman GA, Papsin BC. Sinonasal Disease in Cystic Fibrosis: Clinical Characteristics, Diagnosis, and Management. Pediatr Pulmonol (2000) 30(6):481–9. [DOI] [PubMed] [Google Scholar]
- 22. Mesbahi M, Shteinberg M, Wilschanski M, Hatton A, Nguyen-Khoa T, Friedman H, et al. Changes of CFTR Functional Measurements and Clinical Improvements in Cystic Fibrosis Patients With non P.Gly551Asp Gating Mutations Treated With Ivacaftor. J Cyst Fibros (2017) 16(1):45–8. 10.1016/j.jcf.2016.08.006 [DOI] [PubMed] [Google Scholar]
- 23. Mainz JG, Michl R, Pfister W, Beck JF. Cystic Fibrosis Upper Airways Primary Colonization With Pseudomonas Aeruginosa: Eradicated by Sinonasal Antibiotic Inhalation. Am J Respir Crit Care Med (2011) 184(9):1089–90. 10.1164/ajrccm.184.9.1089 [DOI] [PubMed] [Google Scholar]
- 24. Mainz JG, Hentschel J, Schien C, Cramer N, Pfister W, Beck JF, et al. Sinonasal Persistence of Pseudomonas Aeruginosa After Lung Transplantation. J Cyst Fibros Off J Eur Cyst Fibros Soc (2012) 11(2):158–61. 10.1016/j.jcf.2011.10.009 [DOI] [PubMed] [Google Scholar]
- 25. Ooi CY, Syed SA, Rossi L, Garg M, Needham B, Avolio J, et al. Impact of CFTR Modulation With Ivacaftor on Gut Microbiota and Intestinal Inflammation. Sci Rep (2018) 8(1):17834. 10.1038/s41598-018-36364-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Harris JK, Wagner BD, Zemanick ET, Robertson CE, Stevens MJ, Heltshe SL, et al. Changes in Airway Microbiome and Inflammation With Ivacaftor Treatment in Patients With Cystic Fibrosis and the G551D Mutation. Ann Am Thorac Soc (2020) 17(2):212–20. 10.1513/AnnalsATS.201907-493OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Chmiel JF, Konstan MW, Accurso FJ, Lymp J, Mayer-Hamblett N, VanDevanter DR, et al. Use of Ibuprofen to Assess Inflammatory Biomarkers in Induced Sputum: Implications for Clinical Trials in Cystic Fibrosis. J Cyst Fibros (2015) 14(6):720–6. 10.1016/j.jcf.2015.03.007 [DOI] [PubMed] [Google Scholar]
- 28. Muhlebach MS, Clancy JP, Heltshe SL, Ziady A, Kelley T, Accurso F, et al. Biomarkers for Cystic Fibrosis Drug Development. J Cyst Fibros (2016) 15(6):714–23. 10.1016/j.jcf.2016.10.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.