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PLOS One logoLink to PLOS One
. 2017 Nov 17;12(11):e0187847. doi: 10.1371/journal.pone.0187847

Airway expression of Transient Receptor Potential (TRP) Vanniloid-1 and Ankyrin-1 channels is not increased in patients with Idiopathic Pulmonary Fibrosis

Nicola-xan Hutchinson 1,*, Allen Gibbs 2, Amanda Tonks 3, Benjamin D Hope-Gill 4
Editor: Yu Ru Kou5
PMCID: PMC5693416  PMID: 29149168

Abstract

Dry cough is a common symptom described in patients with Idiopathic Pulmonary Fibrosis (IPF) and impairs quality of life. The exact mechanisms causing cough in IPF remain unclear, however evidence suggests altered cough neurophysiology and sensitisation plays a role; IPF patients have an enhanced cough reflex sensitivity to inhaled capsaicin. The Transient Receptor Potential Vanniloid-1 channel (TRPV-1) has a role in the cough reflex and airway expression is increased in patients with chronic cough. The Ankyrin-1 receptor (TRPA-1) is often co-expressed. It was hypothesised that, like chronic cough patients, IPF patients have increased airway TRP receptor expression. Bronchial biopsies were obtained from 16 patients with IPF, 11 patients with idiopathic chronic cough and 8 controls without cough. All other causes of cough were rigorously excluded. Real-time quantitative Polymerase Chain Reaction was used to detect TRPV-1 and TRPA-1 mRNA expression with Immunohistochemistry demonstrating protein expression. Mean TRPV-1 and TRPA-1 gene expression was higher in IPF patients compared with controls, but the difference did not reach statistical significance. Immunostaining supported these findings. This study suggests that structural up-regulation of central airway TRP receptors is not the key mechanism for cough in IPF patients. It is probable that IPF cough results from altered neuronal sensitivity at multiple levels of the cough pathway.

Introduction

Idiopathic pulmonary fibrosis (IPF) is a chronic, fibrotic interstitial lung disease of unknown aetiology [1]. Despite new therapeutic strategies the prognosis for the majority of patients remains poor with a median survival of less than 4 years and supportive therapy remains the mainstay of treatment for many [2].

A debilitating dry cough is described in more than 70% of IPF patients [2]. Patients have been shown to have higher 24-hour cough counts compared with controls [3] and this symptom impairs quality of life [4].

The exact mechanisms causing cough in IPF remain unclear. [5]. It is interesting that cough should be such a prominent symptom of a disease that primarily affects the peripheral lung parenchyma as the afferent sensory fibres are concentrated in central airways [6]. There is evidence to suggest that cough in IPF may be a consequence of altered cough neurophysiology and sensitisation. IPF patients have been shown to have an increased cough reflex sensitivity to capsaicin [7, 8].

The capsaicin receptor is a member of the transient receptor potential (TRP) family of ion channels known as transient receptor potential vanniloid-1 (TRPV-1) [10,11]. TRPV-1 is a poly-modal channel which is predominantly expressed in sensory afferent fibres and is activated by capsaicin, noxious stimuli and heat [9, 10]. Immuno-histochemical (IHC) studies comparing bronchial biopsies from patients with and without chronic cough identified a significant increase of TRPV-1 staining nerve profiles, which was positively correlated with capsaicin tussive response [11].

Neurotrophins increase the expression and sensitivity of the TRP channels in the airways [1214]. There is evidence for increased expression of neurotrophins in the central airways of patients with IPF [8].

Transient Receptor Potential Ankyrin 1 (TRPA-1) is another receptor subtype which is usually co-expressed with TRPV-1 and also responds to noxious stimuli and cold temperatures [15].The evidence for its role in pathological cough is unclear, however given the co-localisation of the two channels and anecdotal evidence that patients with IPF find their cough worse in cold conditions, it is possible that co-operation occurs.

Due to the known concentration of sensory neurones in central airways and the increased levels of neurotrophins in the bronchi in IPF, we postulated that, like chronic cough patients, patients with IPF have increased expression of airway TRP receptors, which could be the basis for increased cough sensitivity in this condition. The aim of this study was therefore to identify whether the expression of TRPV-1 and TRPA-1 was increased in the central airways of patients with IPF.

Methods and materials

Subjects

Consecutive patients with IPF were recruited from the Interstitial Lung Diseases Unit at University Hospital Llandough, Cardiff, UK between 2011 and 2014. Three groups of newly referred patients were identified to allow comparison; patients with IPF, idiopathic chronic cough (CC) and ‘normal’ controls (NC).

All IPF patients fulfilled the American Thoracic Society criteria for the diagnosis of IPF [1]. Idiopathic chronic cough patients were defined as those patients with a greater than 3 months history of cough and a normal chest X-ray after the exclusion of other causes of chronic cough as per usual clinical practice [16]. All patients with chronic cough had at least a 1-month trial of treatment with a proton pump inhibitor in order to eliminate gastroesophageal reflux as a cause of cough. ‘Normal’ control patients were identified as patients without cough but were required to undergo bronchoscopy for evaluation of a non-airways centred disorder; such as a pulmonary nodule or single episode of haemoptysis.

Potential confounding causes of cough were identified and all three groups were subject to the same exclusion criteria (Table 1), ensuring all other causes of cough were carefully excluded.

Table 1. Study exclusion criteria.

Smoking history within 1 year.
Respiratory tract infection within three months.
Current symptoms of gastroesophageal reflux.
Significant rhinosinusitis symptoms.
Other respiratory diagnosis, including Chronic Obstructive Pulmonary Disease, Asthma*
Other severe systemic illness.
Angiotensin converting enzyme inhibitor therapy

* Co-existent bronchial hyper-reactivity was excluded following thorough clinical assessment, and reversibility testing or methacholine challenge testing were performed where there was clinical uncertainty.

Protocol

Pulmonary function tests

All patients with IPF and idiopathic chronic cough underwent pulmonary function testing [17] as part of routine clinical care. ‘Normal’ control patients underwent spirometric testing at the discretion of the consulting healthcare professional. All ‘Normal’ ex-smokers underwent spirometric testing as a minimum.

Assessment of cough severity

All patients with IPF and idiopathic chronic cough were asked to complete a Visual Analogue Score (VAS) and Leicester Cough Questionnaire (LCQ) prior to bronchoscopy [16, 18]. The VAS is a 100 mm linear scale on which patients are asked to mark the severity of their cough. The extremes of the scale were marked 0 (no cough), and 100 (worst cough).

Bronchoscopy

Flexible fibre-optic bronchoscopy was performed in all recruited patients according to established guidelines. Bronchial biopsies (maximum 6) were taken using 2.8mm forceps from the segmental carinae of the right lung in each patient. This site was chosen as a consistent landmark within the central airways to enable direct comparison between patients. Biopsies were placed immediately into RNAlaterTM (Ambion, Paisley, UK) or buffered formalin. Biopsies stored in RNAlaterTM were stored at room temperature overnight and then transferred to -80°C.

RNA extraction and cDNA synthesis

Total Ribonucleic Acid (RNA) from the bronchial biopsies was extracted using the acid guanidinium thiocyanate-phenol-chloroform method (TRIzol, Invitrogen, Paisley, UK). Biopsy material was homogenised using a TissueRuptor (Qiagen, Hilden, Germany). RNA concentration was quantified using a ND-1000 spectrophotometer (NanoDrop products, Wilmington, DE, USA.) First strand synthesis was performed using the SuperScript® VILOTM Complementary Deoxyribonucleic Acid (cDNA) Synthesis Kit as per manufactures instructions (Invitrogen, Paisley, UK). Complementary DNA (cDNA) was stored at -20°C.

Quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR)The Lightcycler® 2.0 Carousel-based system and Lightcycler® FastStart DNA Master SYBR Green I kit (Roche Diagnostics Ltd, West Sussex, UK) were used to quantify TRPV-1, TRPA-1 and house-keeping genes Hypoxanthine guanine phosphoribosyl transferase (HPRT) and TATA box binding protein (TBP). The qRT-PCR master mix was prepared in a cooling block as per the manufacturer’s protocol. Complementary DNA from bronchial biopsies were diluted 1:2 and cDNA from an A549 cell line was used as a positive control. To obtain mean values, all samples were run in triplicate. A non-template control and Reverse Transcription (RT) negative sample was also used in each run. Genes of interest and primer sequences are outlined in Table 2. Relative change in expression was calculated using qBasePlus software, including corrections for PCR amplification efficiency estimated by a serial dilution series [19]. HPRT and TBP were selected as stably expressed house-keeping genes (Genorm, M value: 0.415, CV: 0.148) and were used for normalisation.

Table 2. Genes and their primer sequences.
Name Accession number Primer sequence RNA product size (bp) DNA product size (bp) Reference
TRPV-1 NM_080704.3 Fwd: TGGTATTCTCCCTGGCCTTG 188 3763 [20]
Rv: CTTCCCGTCTTCAATCAGCG
TRPA-1 NM_007332.2 Fwd: TCACCATGAGCTAGCAGACTATTT 74 1647 [21]
Rv: GAGAGCGTCCTTCAGAATCG
HPRT NM_000194.2 Fwd: TGACACTGGCAAAACAATGCA 94 4893 [22]
Rv: GGTCCTTTTCACCAGCAAGCT
TBP NM_003194.4 Fwd: TCAAACCCAGAATTGTTCTCCTTAT 122 803 [23]
Rv: CCTGAATCCCTTTAGAATAGGGTAGA

The gene accession numbers were obtained from the NCBI (National Centre for Biotechnology Information) database. All primers were synthesised by Life Technologies (Paisley, UK). Primers complimentary and specific to the gene of interest were assessed with BLAST. Each primer set was optimised to maximize efficiency. The thermal cycler conditions were as follows: 10 minutes at 95°C, 10 seconds at 95°C, 60 cycles of 5 seconds at 58°C/60°C (TRPV1,TRPA1/TBP,HPRT) respectfully and 5 minutes at 72°C. The melt curve analysis was performed for one cycle, between 65°C and 95°C at a rate of change of 0.1°C/second.

Immunohistochemistry

4μm formalin-fixed paraffin embedded cut sections were investigated by immunohistochemistry (IHC) using the DakoFlex™ Envision plus kit (Dako, Denmark) to identify TRPV-1, TRPA-1 and Pan-neuronal Gene Peptide-9.5 (PGP-9.5) a general nerve marker. The manufacturer’s instructions were followed, with primary antibodies added at concentrations: rabbit anti-TRPV-1 1/1000 [24], rabbit anti-TRPA-1 1/600 [21] or rabbit anti-PGP-9.5 1/1600[25]. A negative and positive control was included in each run.

The specimens were evaluated simultaneously by authors NH and AG using an Olympus BX51 microscope. Group identity of the samples were not available prior to the analysis. Antibody staining was recorded as either positive or negative and distribution noted. Any discrepancies in the results were resolved by consensus following reassessment of the sample by both investigators. To quantify any difference in immuno-histochemical staining between the three groups a digital method of quantification was used. Bright-field whole slide images were captured and digitalised using an Axio Scan.Z1 slide scanner with a 20X objective lens and a Hitachi HV-F2025CL camera (Zeiss, Cambridge, UK). The images were analysed using ImageJ version 1.50j [26]. The IHC image analysis toolbox [27] used to detect positively stained colour pixels allowed the area of specific immunostaining for neuronal PGP-9.5, TRPV-1 and TRPA-1 staining to be expressed as a percentage of the total area.

Statistical analysis

SPSS version 20 (SPSS Inc. Chicago. Illinois) was used for data analysis. Statistical significance was considered to be <0.05.

The Student t test and Mann-Whitney U test were used to compare parametric and non-parametric continuous data between two groups respectively. One-way Analysis of Variance (ANOVA) and Kruskall-Wallis were used when more than two groups of parametric or non-parametric data were being compared respectively. Chi-squared test or Fishers exact test was used to compare the categorical data, whilst Spearman’s rank correlation was used to assess association between continuous variables.

All qPCR data was Log10 transformed to ensure it fitted a normal distribution. Average gene expression between the groups was assessed using ANOVA, however linear logistic regression was also used to account for the other variables within the study.

Institutional approval

The study was approved by the Cardiff and Vale University Local Health Board Research and Development Committee and the Local Research Ethics Committee. Subjects provided informed written consent.

Results

Thirty five patients in total were recruited; 16 patients with IPF, 11 with idiopathic chronic cough and 8 ‘normal’ controls. Demographic, pulmonary function and cough severity data for study subjects are compared in Table 3, with a more detailed demographic profile of the IPF patients shown in Table 4.

Table 3. Study subject characteristics.

CONTROL IPF CHRONIC COUGH
Number 8 16 11
Mean age: years 46 70 60
(Min, Max) (24, 69) (56, 82)* (48, 73)¥
Gender (M:F) 5:3 14:2 2:9* ¥
Mean FEV1: % predicted 94.85 87.21 107.29
(Min, Max) (84.9, 110.0) (59.7,126.4) (72.0,145.0)
Mean FVC: % predicted 100.8 82.29 108.65
(Min, Max) (80.0,133.0) (51.9,113.9) (78.2,142.3)¥
Median TLCO: % predicted 41.15 81¥
Median VAS: mm 40 77¥
(25th, 75th quartile) (24.8, 62) (49, 89)
Mean total LCQ score 14.88 10.91¥
(Min, Max) (7.34, 20.21) (6.75, 13.17)

* p <0.05 compared with control group

¥ p <0.05 compared with IPF group

ⱡ Number = 4

VAS = Visual analogue score; LCQ = Leicester cough questionnaire. A lower LCQ score reflects lower cough-related quality of life.

Definition of abbreviations: F = female; M = male; 95% CI = 95% confidence interval; FEV1 = forced expiratory volume in 1 second; FVC = forced vital capacity; TLCO = gas transfer.

Table 4. IPF patient demographics.

Patient Age Gender Smoking status FVC TLCO HRCT
1 75 Male Non-smoker 51.9 27.4 UIP pattern
2 72 Male Non-smoker 74.0 33.6 UIP pattern
3 72 Male Non-smoker 79.5 36.0 UIP pattern
4 56 Male Ex-smoker 76.0 40.0 UIP pattern
5 74 Male Ex-smoker 85.8 46.5 UIP pattern
6 71 Male Ex-smoker 82.8 41.1 UIP pattern
7 67 Female Ex-smoker 108.3 57.7 UIP pattern
8 74 Male Non-smoker 90.8 60.6 Atypical for UIP*
9 74 Male Ex-smoker 84.2 37.7 UIP pattern
10 70 Male Non-smoker 61.2 63.4 UIP pattern
11 62 Male Non-smoker 73.2 37.8 UIP pattern
12 65 Male Non-smoker 77.9 75.7 UIP pattern
13 60 Male Non-smoker 65.8 41.2 UIP pattern
14 77 Male Non-smoker 113.9 134.0 UIP pattern
15 69 Female Ex-smoker 100.7 40.5 UIP pattern
16 82 Male Ex-smoker 90.6 76.3 UIP pattern

FVC = % predicted forced vital capacity, TLCO = % predicted transfer factor for carbon monoxide, UIP = Usual Interstitial Pneumonia

*UIP pattern confirmed on surgical lung biopsy

As expected patients with IPF had a significantly lower FVC % (p = 0.026) and TLCO % (p = 0.002). Cough was a prominent symptom in all IPF patients studied. Patients with chronic cough had significantly greater cough symptom severity assessed by VAS and LCQ compared to IPF patients (p <0.05).

TRPV-1 and TRPA-1 receptor gene expression (Fig 1)

Fig 1. TRP receptor expression.

Fig 1

Panel A: Endobronchial TRPV-1 expression. Panel B: Endobronchial TRPA-1 expression. Expression levels of the target genes are shown relative to the cycle quantity (Cq) average. Final expression data is expressed as normalized relative quantity (NRQ) and 95% confidence interval. Panel C: TRPV-1 and TRPA-1 qPCR product gel electrophoresis (1% agarose gel with TBE). NTC = No-template control.

The difference in relative expression of TRPV-1 between the IPF group and the control group when gender, smoking status and age were taken into account failed to reach statistical significance (β = 0.137, 95% CI = -0.025, 0.299, p = 0.093). In addition, there was not a statistically significant difference in relative TRPA-1 expression between the IPF group and the control group (β = 0.150, 95% CI = - 0.399, 0.698, p = 0.579), or the CC group and the control group (β = 0.190, 95% CI = -0.338, 0.718, p = 0.466) when gender, ex-smoking status and age were taken into account (R2 = 0.065).

TRPV-1 and TRPA-1 protein expression

Immuno-histochemical (IHC) staining was undertaken in 14 IPF, 7 chronic cough and 6 ‘normal’ control patients. Staining the biopsies for PGP-9.5 revealed nerve profile specific staining in the epithelium and sub-epithelium. Figs 2, 3 and 4 show PGP-9.5, TRPV-1 and TRPA-1 staining distribution respectively.

Fig 2. Airway PGP-9.5 Immunohistochemical staining.

Fig 2

Panel A: Positive control (appendix tissue), with the black arrows denoting PGP-9.5 specific staining. Panel B: Bronchial sections incubated in the absence of the primary antibody showed no staining (negative control). Panel C: IHC staining of airway nerves in a bronchial biopsy with an anti-PGP-9.5 antibody from a study patient. In agreement with previous studies, neuronal immunostaining for the general nerve marker PGP-9.5 varied among cases and between groups [11, 28]. The median (range) total nerve density of PGP-9.5 in IPF patients was 0.053% (0.002 to 0.29%) and 0.082% (0.009 to 0.63%) in CC patients. There was no statistically significant difference in PGP-9.5 immunostaining between the controls and patients with IPF or CC.

Fig 3. Airway TRPV-1 Immunohistochemical staining.

Fig 3

Panel A: Positive control (appendix tissue) with the black arrows denoting TRPV-1 specific staining. Panel B: Bronchial sections incubated in the absence of the primary antibody showed no staining (negative control). Panel C: Positive airway TRPV-1 neuronal staining (vertical arrows) and spindle cell staining in the sub-mucosa (horizontal arrow) from an IPF patient. There was no smooth muscle staining. Panel D: Individual percentages of bronchial airway nerve staining positive for TRPV-1 are shown for each group of patients.

Fig 4. Airway TRPA-1 Immunohistochemical staining.

Fig 4

Panel A: Positive control (appendix tissue) with the black arrows denoting TRPA-1 specific staining. Panel B: Bronchial sections incubated in the absence of the primary antibody showed no staining (negative control). Panel C: Positive airway TRPA-1 neuronal staining (vertical arrows) and epithelial cells (horizontal arrow) from an IPF patient. Panel D: TRPA-1 staining within the smooth muscle. Table: Manual assessment of TRPA-1 nerve and smooth muscle staining. There was no statistically significant increase in manual assessment of airway neuronal staining for TRPV-1 or TRPA-1 in the IPF patients compared to other groups.

There was evidence of agreement between the manual assessment of IHC staining and the digital quantification.

Median TRPV-1 immunostaining was 0.124% (0.01–0.29%) in IPF patients, which was higher than the median percentage seen in CC and NC patients (Fig 3), however this difference was minimal and did not reach statistical significance (p = 0.53). We also quantified the expression of TRPV-1 in the biopsies as a ratio of the PGP-9.5 expression measured in the adjacent section for each subject. There was no statistically significant difference in TRPV-1 to PGP-9.5 ratio between NC and IPF patients (p = 0.904) or NC and CC patients (p = 0.234).

Quantification of TRPA-1 immunostaining was more difficult as there was epithelial cell and stromal cell specific staining within the smooth muscle as well as neuronal staining. It was not possible to separate the two for analysis, therefore total immunostaining was measured. There was no statistically significant difference in median TRPA-1 immunostaining. In an attempt to assess the differences more accurately a manual semi-quantitative analysis of TRPA-1 expression was performed (data not shown). There was no statistically significant difference between the groups for grade of smooth muscle (p = 0.71) or epithelial (p = 0.18) TRPA-1 staining.

Association between receptor expression and measures of cough severity

Cough severity as assessed by VAS and LCQ, was not associated with increased airway gene or protein expression of TRPV-1 and TRPA-1 statistically or clinically in terms of minimal important difference (MID) in patients with IPF or CC (data not shown). In addition, there was no association between cough severity and lung function measurements in any group in keeping with previous studies (data not shown) [9].

Discussion

We have shown that TRPV-1 and TRPA-1 receptor expression is not significantly increased in the central airways of patients with IPF at gene or protein level when compared with patients with chronic cough and normal controls. Cough was the predominant symptom in all IPF and CC patients, however there was no significant association between the level of airway TRP receptor expression and cough severity measured by VAS and LCQ. This study therefore suggests that a structural up-regulation of central airway TRP receptors is not the predominant mechanism for cough in IPF patients.

The rationale for investigating the TRP receptors in IPF is clear as there is evidence for the physiological up-regulation of this pathway; IPF patients have a greater cough reflex sensitivity to inhaled capsaicin [7, 8], and elevated levels of the neurotrophins NGF and BDNF in induced sputum and BAL fluid [5, 8], which are involved in neuronal differentiation and proliferation. Two previous studies have investigated the expression of TRPV-1 in bronchial biopsies of patients with chronic cough, which is one reason why this group was used as a ‘positive’ control. These studies both quantified TRPV-1 expression at protein level.

Mitchell et al. [24] failed to demonstrate a difference in the neuronal expression of TRPV-1, however found a significant difference in the staining of smooth muscle myocytes between CC and control patients, whereas Groneberg et al [11] showed an increase in TRPV-1 positive nerve profiles, with a 4.4-fold increase in the ratio of TRPV-1 to PGP-9.5 staining in CC patients when compared to controls, which was inversely correlated with capsaicin tussive responsiveness. However, they did not demonstrate smooth muscle TRPV-1 staining. The studies therefore report contrasting findings in patients with chronic cough. There are a number of differences between the methodologies of the current study and previous studies, including experimental procedure and patient selection. These differences include variable biopsy site and heterogeneous patient populations in previous studies and are likely to explain the inconsistent findings relating to TRPV-1 expression in patients with chronic cough.

As the focus of our study was on cough in IPF and whether or not aberrant innervation within the central airways is responsible for the enhanced cough reflex particular care was taken to exclude subjects with symptoms of cough of other aetiologies in both chronic cough and IPF patient groups to obtain homogenous patient populations including the exclusion of co-existing emphysema on HRCT scans. This is in contrast to the cohorts of CC patients previously studied which included mixed groups of patients; an important consideration when comparing studies. [11, 24]. Also, to the best of our knowledge, this is the first study to demonstrate both mRNA and protein expression of TRPV-1 and TRPA-1 from airway bronchial biopsies, using previously utilised antibodies and primers with the aim of demonstrating reproducibility.

Although comparable to other similar studies, the sample size is a limiting factor in this study. The comparative group of NC subjects were undergoing diagnostic bronchoscopy therefore were not healthy volunteers. However, as the NC were subject to the same exclusion criteria, this eliminated any confounding effect. The NC group were also not equally balanced with the CC or IPF patients in terms of gender and age. The CC and IPF patients in our study had the expected demographic profiles; IPF predominantly affects males, who have an average age of 74.3 years at the time of diagnosis [29], whereas chronic cough predominantly affects mid-life women [16]. However, the lack of relationship between these factors in a previous study [11] as well as our own would suggest that this did not influence the results.

Our findings show there is not gross up-regulation of TRPV-1 or TRPA-1 in the central airways of patients with IPF. It is important to consider that this study investigated the expression of two members of the TRP receptor family which has 28 members [30]. There is some evidence that other TRP receptors particularly TRPV-4 and transient receptor potential melastatin-8 (TRPM-8) may also play a role [31, 32]. The interactions between these receptors and others such as the acid sensing ion channels (ASICs) are poorly understood and it is likely that a number of receptors and interactions are involved in the cough reflex.

The level at which the airways were sampled is also an important consideration as although the central airways are known to have increased innervation it is possible that there is structural up-regulation of TRP receptors in more distal airways that are directly implicated in the fibrotic process. TRPV-1 receptors have been demonstrated at alveolar level [33], and although the peripheral C-fibres are thought to be inhibitory, there is evidence for increased expression of neurotrophins distally from bronchoalveolar lavage fluid samples in IPF which have been implicated in adaptive responses within sensory neurones, including fibre phenotype switching, and increased expression and functionality of TRP receptors [5, 8].

It is also possible that a physiological up-regulation of TRP receptors through sensitisation results in an increased cough reflex sensitivity rather than a significant structural up-regulation. Inflammatory mediators are known to cause TRP receptor sensitisation therefore small differences in TRPV-1 expression may result in large differences in TRPV-1 sensitivity [12, 34, 35]. Also in support of sensitisation is the mechanism of desensitisation. Desensitisation of the TRPV-1 and TRPA-1 receptors using capsaicin and other agonists has been demonstrated in vitro [36] and has been used widely in the treatment of chronic pain, particularly neuropathic pain [37, 38]. The evidence for inflammation in the central airways, heightened cough reflex sensitivity and the presence of neurotrophins in the sputum of IPF patients also support the notion of sensitisation of TRP receptors in this group. The role of central sensitisation in patients with chronic cough has also recently gained further support and it is possible that central mechanisms are implicated in IPF patients [39]. This is an area that warrants further investigation.

In summary, this study has not shown evidence of an increase in TRPV-1 and TRPA-1 gene and protein expression in the central airways of patients with IPF. This suggests that a structural up-regulation of central airway TRP receptors alone is not the mechanism for cough in IPF patients. However, the clinical observation of heightened cough reflex sensitivity to capsaicin in IPF suggests that an alternative mechanism involving TRP receptors is at work, and we suggest that a complex interplay of several different mechanisms is implicated.

Ethics approval and consent to participate

The study was registered with the Cardiff and Vale University Local Health Board Research and Development Committee (09/CMC/4620) and the South East Wales Ethics Committee (10/WSE02/62).

Acknowledgments

Authors are indebted to all patients who participated in this study. Special thanks to Sue Wozniac for performing the immunohistochemistry and H & E staining, the staff at the University Hospital Llandough pulmonary function department for performing the lung function testing and Dr Mark Kelson for providing statistical advice.

Data Availability

All relevant data are within the paper. Access to any additional data can be obtained from the authors contacted at nxhutch1@doctors.org.uk.

Funding Statement

The funding was entirely from Institutional Lung Research Endowment funds. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Raghu G, Collard HR, Egan JJ, Martinez FJ, Behr J, Brown KK, et al. An Official ATS/ERSARS/ALAT Statement: Idiopathic Pulmonary Fibrosis: Evidence-based Guidelines for Diagnosis and Management. American Journal of Respiratory and Critical Care Medicine. 2011;183(6):788–824. doi: 10.1164/rccm.2009-040GL PubMed PMID: WOS:000288970600017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Turner-Warwick M, Burrows B, Johnson A. Cryptogenic Fibrosing Alveolitis—Clinical faetures and their influence on survival. Thorax. 1980;35(3):171–80. doi: 10.1136/thx.35.3.171 PubMed PMID: WOS:A1980JL42900003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Key AL, Holt K, Hamilton A, Smith JA, Earis JE. Objective cough frequency in Idiopathic Pulmonary Fibrosis. Cough (London, England). 2010;6:4–. doi: 10.1186/1745-9974-6-4. PubMed PMID: MEDLINE:20565979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Swigris J, Stewart A, Gould M, Wilson S. Patients' perspectives on how idiopathic pulmonary fibrosis affects the quality of their lives. Health Qual Life Outcomes. 2005;3(61). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Harrison NK. Cough, sarcoidosis and idiopathic pulmonary fibrosis: raw nerves and bad vibrations. Cough (London, England). 2013;9(1):9–. doi: 10.1186/1745-9974-9-9 PubMed PMID: MEDLINE:23497330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Sparrow MP, Weichselbaum M, McCray PB. Development of the innervation and airway smooth muscle in human fetal lung. American Journal of Respiratory Cell and Molecular Biology. 1999;20(4):550–60. PubMed PMID: WOS:000079758200003. doi: 10.1165/ajrcmb.20.4.3385 [DOI] [PubMed] [Google Scholar]
  • 7.Doherty MJ, Mister R, Pearson MG, Calverley PMA. Capsaicin induced cough in cryptogenic fibrosing alveolitis. Thorax. 2000;55(12):1028–32. doi: 10.1136/thorax.55.12.1028 PubMed PMID: WOS:000165782700009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hope-Gill BDM, Hilldrup S, Davies C, Newton RP, Harrison NK. A study of the cough reflex in idiopathic pulmonary fibrosis. American Journal of Respiratory and Critical Care Medicine. 2003;168(8):995–1002. doi: 10.1164/rccm.200304-597OC PubMed PMID: WOS:000185881600014. [DOI] [PubMed] [Google Scholar]
  • 9.Surowy C, Kym PR, Reilly RM. Biochemical pharmacology of TRPV1: Molecular integrator of pain signals In: Gomtsyan A, Faltynek R, editors. Vanilloid Receptor TRPV1 in Drug Discovery: John Wiley and Sons, Inc; 2010. p. 101–17. [Google Scholar]
  • 10.Takemura M, Quarcoo D, Niimi A, Dinh QT, Geppetti P, Fischer A, et al. Is TRPV1 a useful target in respiratory diseases? Pulmonary Pharmacology & Therapeutics. 2008;21(6):833–9. doi: 10.1016/j.pupt.2008.09.005 PubMed PMID: WOS:000262944400001. [DOI] [PubMed] [Google Scholar]
  • 11.Groneberg DA, Niimi A, Dinh QT, Cosio B, Hew M, Fischer A, et al. Increased expression of transient receptor potential vanilloid-1 in airway nerves of chronic cough. American Journal of Respiratory and Critical Care Medicine. 2004;170(12):1276–80. doi: 10.1164/rccm.200402-174OC PubMed PMID: WOS:000225780800004. [DOI] [PubMed] [Google Scholar]
  • 12.Chuang HH, Prescott ED, Kong HY, Shields S, Jordt SE, Basbaum AI, et al. Bradykinin and nerve growth factor release the capsaicin receptor from PtdIns(4,5)P-2-mediated inhibition. Nature. 2001;411(6840):957–62. doi: 10.1038/35082088 PubMed PMID: WOS:000169386200047. [DOI] [PubMed] [Google Scholar]
  • 13.Ji RR, Samad TA, Jin SX, Schmoll R, Woolf CJ. p38 MAPK activation by NGF in primary sensory neurons after inflammation increases TRPV1 levels and maintains heat hyperalgesia. Neuron. 2002;36(1):57–68. doi: 10.1016/s0896-6273(02)00908-x PubMed PMID: WOS:000178295100007. [DOI] [PubMed] [Google Scholar]
  • 14.Zhang XM, Huang JH, McNaughton PA. NGF rapidly increases membrane expression of TRPV1 heat-gated ion channels. Embo Journal. 2005;24(24):4211–23. doi: 10.1038/sj.emboj.7600893 PubMed PMID: WOS:000234805100001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Taylor-Clark TE, Nassenstein C, McAlexander MA, Undem BJ. TRPA1: A potential target for anti-tussive therapy. Pulmonary Pharmacology & Therapeutics. 2009;22(2):71–4. doi: 10.1016/j.pupt.2008.12.019 PubMed PMID: WOS:000264991300004. [DOI] [PubMed] [Google Scholar]
  • 16.Morice AH, Fontana GA, Belvisi MG, Birring SS, Chung KF, Dicpinigaitis F, et al. ERS guidelines on the assessment of cough. European Respiratory Journal. 2007;29(6):1256–76. doi: 10.1183/09031936.00101006 PubMed PMID: WOS:000247280500026. [DOI] [PubMed] [Google Scholar]
  • 17.BTS ARTP. Guidelines for the measurement of respiratory function. Recommendations of the British Thoracic Society and the Association of Respiratory Technicians and Physiologists. Respiratory medicine. 1994;88(3):165–94. PubMed PMID: MEDLINE:8209067. [PubMed] [Google Scholar]
  • 18.Birring SS, Fleming T, Matos S, Raj AA, Evans DH, Pavord ID. The Leicester Cough Monitor: preliminary validation of an automated cough detection system in chronic cough. European Respiratory Journal. 2008;31(5):1013–8. doi: 10.1183/09031936.00057407 PubMed PMID: WOS:000255707000018. [DOI] [PubMed] [Google Scholar]
  • 19.Hellemans J, Mortier G, De Paepe A, Speleman F, Vandesompele J. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biology. 2007;8(2). doi: 10.1186/gb-2007-8-2-r19 PubMed PMID: WOS:000246076300017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, et al. Primer3-new capabilities and interfaces. Nucleic Acids Research. 2012;40(15). doi: 10.1093/nar/gks596 PubMed PMID: WOS:000308958600003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Buech TRH, Schaefer EAM, Demmel M-T, Boekhoff I, Thiermann H, Gudermann T, et al. Functional expression of the transient receptor potential channel TRPA1, a sensor for toxic lung inhalants, in pulmonary epithelial cells. Chemico-Biological Interactions. 2013;206(3):462–71. doi: 10.1016/j.cbi.2013.08.012 PubMed PMID: WOS:000329019500006. [DOI] [PubMed] [Google Scholar]
  • 22.Allen D, Winters E, Kenna PF, Humphries P, Farrar GJ. Reference gene selection for real-time rtPCR in human epidermal keratinocytes. Journal of Dermatological Science. 2008;49(3):217–25. doi: 10.1016/j.jdermsci.2007.10.001 PubMed PMID: WOS:000253430800004. [DOI] [PubMed] [Google Scholar]
  • 23.Minner F, Poumay Y. Candidate Housekeeping Genes Require Evaluation before their Selection for Studies of Human Epidermal Keratinocytes. Journal of Investigative Dermatology. 2009;129(3):770–3. doi: 10.1038/jid.2008.247 PubMed PMID: WOS:000263569500032. [DOI] [PubMed] [Google Scholar]
  • 24.Mitchell JE, Campbell AP, New NE, Sadofsky LR, Kastelik JA, Mulrennan SA, et al. Expression and characterization of the intracellular vanilloid receptor (TRPV1) in bronchi from patients with chronic cough. Experimental Lung Research. 2005;31(3):295–306. doi: 10.1080/01902140590918803 PubMed PMID: WOS:000228120700002. [DOI] [PubMed] [Google Scholar]
  • 25.Wick MR. Immunohistology of neuroendocrine and neuroectodermal tumors. Seminars in Diagnostic Pathology. 2000;17(3):194–203. PubMed PMID: WOS:000088969300005. [PubMed] [Google Scholar]
  • 26.Schindelin J, Rueden CT, Hiner MC, Eliceiri KW. The ImageJ ecosystem: An open platform for biomedical image analysis. Molecular Reproduction and Development. 2015;82(7–8):518–29. doi: 10.1002/mrd.22489 PubMed PMID: WOS:000358486700004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Shu J. A Semi-Automatic Image Analysis Tool for Biomarker Detection in Immunohistochemistry Analysis. International Conference on Image and Graphics (ICIG)2013. p. 937–42.
  • 28.O' Connell F, Springall DR, Moradoghlihaftvani A, Krausz T, Price D, Fuller RW, et al. Abnormal Intraepithelial Airway Nerves In Persistent Unexplained Cough. American Journal of Respiratory and Critical Care Medicine. 1995;152(6):2068–75. PubMed PMID: WOS:A1995TH53300045. [DOI] [PubMed] [Google Scholar]
  • 29.Bradley B, Branley HM, Egan JJ, Greaves MS, Hansell DM, Harrison NK, et al. Interstitial lung disease guideline: the British Thoracic Society in collaboration with the Thoracic Society of Australia and New Zealand and the Irish Thoracic Society (vol 63, Suppl V, pg v1, 2008). Thorax. 2008;63(11):1029–. PubMed PMID: WOS:000260610800028. [DOI] [PubMed] [Google Scholar]
  • 30.Clapham DE. TRP channels as cellular sensors. Nature. 2003;426(6966):517–24. doi: 10.1038/nature02196 PubMed PMID: WOS:000186944300029. [DOI] [PubMed] [Google Scholar]
  • 31.Grace MS, Baxter M, Dubuis E, Birrell MA, Belvisi MG. Transient receptor potential (TRP) channels in the airway: role in airway disease. British Journal of Pharmacology. 2014;171(10):2593–607. doi: 10.1111/bph.12538 PubMed PMID: WOS:000334973100009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Bonvini SJ, Birrell MA, Smith JA, Belvisi MG. Targeting TRP channels for chronic cough: from bench to bedside. Naunyn-Schmiedebergs Archives of Pharmacology. 2015;388(4):401–20. doi: 10.1007/s00210-014-1082-1 PubMed PMID: WOS:000351360300003. [DOI] [PubMed] [Google Scholar]
  • 33.Watanabe N, Horie S, Michael GJ, Spina D, Page CP, Priestley JV. Immunohistochemical localization of vanilloid receptor subtype 1 (TRPV1) in the guinea pig respiratory system. Pulmonary Pharmacology & Therapeutics. 2005;18(3):187–97. doi: 10.1016/j.pupt.2004.12.002 PubMed PMID: WOS:000227311400006. [DOI] [PubMed] [Google Scholar]
  • 34.Gu QH, Kwong K, Lee LY. Ca2+ transient evoked by chemical stimulation is enhanced by PGE(2) in vagal sensory neurons: Role of cAMP/PKA signaling pathway. Journal of Neurophysiology. 2003;89(4):1985–93. doi: 10.1152/jn.00748.2002 PubMed PMID: WOS:000182125300025. [DOI] [PubMed] [Google Scholar]
  • 35.Mazzone SB, Mori N, Canning BJ. Synergistic interactions between airway afferent nerve subtypes regulating the cough reflex in guinea-pigs. Journal of Physiology-London. 2005;569(2):559–73. doi: 10.1113/jphysiol.2005.093153 PubMed PMID: WOS:000233622300017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Akopian AN, Ruparel NB, Jeske NA, Hargreaves KM. Transient receptor potential TRPA1 channel desensitization in sensory neurons is agonist dependent and regulated by TRPV1-directed internalization. Journal of Physiology-London. 2007;583(1):175–93. doi: 10.1113/jphysiol.2007.133231 PubMed PMID: WOS:000249178600015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Sawynok J. Topical analgesics in neuropathic pain. Current Pharmaceutical Design. 2005;11(23):2995–3004. doi: 10.2174/1381612054865019 PubMed PMID: WOS:000231229500005. [DOI] [PubMed] [Google Scholar]
  • 38.Szallasi A, Blumberg PM. Vanilloid (capsaicin) receptors and mechanisms. Pharmacological Reviews. 1999;51(2):159–211. PubMed PMID: WOS:000080755900002. [PubMed] [Google Scholar]
  • 39.Ando A, Smallwood D, McMahon M, Irving L, Mazzone S, Farrell M. Neural correlates of cough hypersensitivity in humans: evidence for central sensitisation and dysfunctional inhibitory control. Thorax. 2016;71:323–9. doi: 10.1136/thoraxjnl-2015-207425 [DOI] [PubMed] [Google Scholar]

Associated Data

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Data Availability Statement

All relevant data are within the paper. Access to any additional data can be obtained from the authors contacted at nxhutch1@doctors.org.uk.


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