AOP-Wiki

AOP ID and Title:

AOP 148: EGFR Activation Leading to Decreased Lung Function
Short Title: Decreased lung function

Graphical Representation

Authors

Philip Morris International: Karsta Luettich (Karsta.Luettich@pmi.com); Marja Talikka; Julia Hoeng

British American Tobacco: Frazer Lowe; Linsey Haswell; Marianna Gaca

 

Status

Author status OECD status OECD project SAAOP status
Under development: Not open for comment. Do not cite Under Development 1.51 Included in OECD Work Plan

Abstract

Increase in mucin production and consequent mucus hypersecretion in the airways are key attributes of many lung diseases, including asthma, cystic fibrosis and chronic bronchitis, all of which are characterized by decreased lung function (Yoshida and Tuder, 2007). Mucus hypersecretion is characterized by an increase in the number of goblet cells, mucin synthesis and mucus secretion which can result in airway obstruction and lung function decline (Kim and Criner, 2015, Yoshida and Tuder, 2007). Epidermal growth factor receptor (EGFR)-mediated signaling has been identified as the key pathway that leads to airway mucin production (Burgel and Nadel, 2008). This AOP for decreased lung function originates in EGFR activation in the airway epithelium. It describes the subsequent key events on the cellular and organ level that need to take place to culminate in the adverse outcome. The causal relationships in this AOP, including EGFR activation leading to increased number of mucin-producing goblet cells and to increased mucin production, are substantiated by multiple lines of evidence in studies performed using different model systems and approaches. Understanding how the inhaled toxicant-induced EGFR activation leads to pulmonary function impairment will be relevant to risk assessment of airborne pollutant exposure and how they contribute to the development and progression of the disease. Additionally, understanding the molecular underpinnings of these processes can aid in informing regulatory decision-making to assess the impact of inhalation toxicants on public health outcomes.  

Background

This AOP delineates a sequence of key events initiating with stressor-induced activation of EGFR and resulting in decreased lung function through increased production of mucins. Excessive mucin production and consequent mucus hypersecretion are characteristic features of chronic diseases such as chronic obstructive pulmonary disease (COPD), cystic fibrosis, chronic bronchitis, and asthma, which pose a significant public health burden. Of note, exposure to cigarette smoke, occupational respiratory hazards, and air pollutants are clearly linked to the development of COPD, which is predicted to become the third leading cause of death worldwide by 2030 (Viegi et al., 2007, WHO, 2008). Mucus hypersecretion during the disease course can result in airway obstruction, decreased peak expiratory flow, respiratory muscle weakness, leading to decreased lung function (Kim and Criner, 2015, Yoshida and Tuder, 2007). Lung function decrease can have serious consequences and is associated with increased mortality (Panizza et al., 2006). This AOP is aimed to compile and organize the vast knowledge around molecular and cellular events and their relationships leading to lung function decrease with an overarching goal to facilitate the prediction and assessment of decreased pulmonary function. In vitro assays spanning from cell culture to organ system assays, with an aid of in silico methodology, all performed in human context, could be applied to measure each KE for inhaled toxicant assessments and adverse outcome predictions, and would contribute to eventual replacement of in-vivo tests in animals. This concept of hazard assessment and AO prediction aligns with integrated approach to testing and assessment (IATA) framework as a mechanistic support for regulatory decision-making (Clippinger et al., 2018). 

Summary of the AOP

Events

Molecular Initiating Events (MIE), Key Events (KE), Adverse Outcomes (AO)

Sequence Type Event ID Title Short name
1 MIE 941 Activation, EGFR Activation, EGFR
KE 2117 Increase, goblet cell number Increase, goblet cell number
7 KE 962 Increase, Mucin production Increase, Mucin production
8 AO 1250 Decrease, Lung function Decreased lung function

Key Event Relationships

Upstream Event Relationship Type Downstream Event Evidence Quantitative Understanding
Activation, EGFR adjacent Increase, goblet cell number High High
Activation, EGFR adjacent Increase, Mucin production High High
Increase, goblet cell number adjacent Increase, Mucin production High Moderate
Increase, Mucin production adjacent Decrease, Lung function Moderate Moderate

Stressors

Name Evidence
Reactive oxygen species High

Reactive oxygen species

Various sources of ROS, including glucose oxidase, xanthine/xanthine oxidase, acrolein, H2O2, cigarette smoke extract, phorbol 12-myristate 13-acetate (PMA), 2,3,7,8-tetrachlorodibenzodioxin (TCDD), and supernatant from activated neutrophils or eosinophils cause a measurable, rapid increase in EGFR phosphorylation in human airway epithelial cells and the lungs of F344 rats (Ravid et al., 2002; Hewson et al., 2004; Casalino-Matsuda et al., 2006; Casalino-Matsuda et al., 2004; Deshmukh et al., 2008; Qi et al., 2010; Takeyama et al., 2001;Takeyama et al., 2000; Burgel et al. 2001; Kim et al. 2008; Yu et al. 2015; Yu et al., 2011; Lee et al.; 2011).

Overall Assessment of the AOP

Domain of Applicability

Life Stage Applicability
Life Stage Evidence
Adult High
Juvenile Low
Taxonomic Applicability
Term Scientific Term Evidence Links
human Homo sapiens High NCBI
mouse Mus musculus Moderate NCBI
rat Rattus norvegicus Moderate NCBI
Sex Applicability
Sex Evidence
Unspecific

Life Stage Applicability

EGFR activation leading to increased mucin production and decreased lung function is predominantly studied in adults; however, it has been shown to also occur in pediatric asthma and bronchitis (Parker et al., 2015, Rogers, 2003). Nevertheless, the environmental exposures that induce EGFR activation and ultimately lead to lung function decline may apply more to adults who are more likely to be exposed to these stimulants over time (cigarette smoke, particulate matter). 

Taxonomic Applicability

The evidence presented here is derived from both human patient, cell culture and animal model biological systems. In vitro and in vivo studies in these systems have been performed to clarify the mechanisms of EGFR activation leading to mucus hyperproduction by studying the increase in goblet cells and upregulation in mucin transcript and protein expression. There are several clinical studies on mucus hypersecretion and how it affects lung function in humans with chronic bronchitis, asthma and other chronic lung diseases. The use of laboratory animals in human disease phenotype modelling enhances the understanding of disease mechanisms but also has limitations, e.g. due to anatomic differences between human and animal airways, differences in disease severity, difficulty of lung function measurements (Nikula and Green, 2000, Fricker et al., 2014). In summary, assembled data suggest that the KEs of this AOP are preserved across rodents and humans and there is good evidence supporting the occurrence of KERs in these species. 

Sex Applicability

At times, clinical evidence linked to occupational exposures is derived from a majority of male subjects, which could be related to a male predominance in certain professions (Eng et al., 2011; Kennedy et al., 2007). Similarly, in most Western countries, cigarette smoking is still more prevalent in men than in women, although this gap has been closing steadily over the past decades (Syamlal et al., 2014; Hitchman and Fong, 2011). Nevertheless, the available in vivo and clinical evidence suggest that there is no remarkable gender difference. 

Essentiality of the Key Events

MIE: EGFR activation 

EGFR signaling is considered critical for mucin production (Vallath et al., 2014). Large amount of studies indicate that activation of EGFR through stressors and receptor ligands increase goblet cell numbers and mucin production while inhibition of EGFR decreases mucin production or goblet cell numbers (Barbier et al., 2012, Casalino-Matsuda et al., 2006, Choi et al., 2021, Deshmukh et al., 2008, Hao et al., 2014, Huang et al., 2017, Jia et al., 2021, Kato et al., 2022, Lee et al., 2000, Lee et al., 2011, Memon et al., 2020, Parker et al., 2015, Perrais et al., 2002, Shim et al., 2001, Song et al., 2016, Takeyama et al., 1999, Takeyama et al., 2001, Takeyama et al., 2008, Takezawa et al., 2016, Tyner et al., 2006b, Val et al., 2012, Wang et al., 2019, Yu et al., 2012a, Yu et al., 2012b). As for downstream AO, several studies indicate positive correlation between EGFR pathway activation and lung function decrease (Singanayagam et al., 2022, Feng et al., 2019, Lin et al., 2021). Taken together, and considering the strong causal link of EGFR activation on adjacent KEs, we propose high essentiality for the MIE “Activation, EGFR” in the AOP148.  

KE: Increase, mucin production 

Increased airway mucin production is a necessary condition for mucus hypersecretion. The stressor exposure maintenance and goblet cell number increase are important for sustained mucin production increase, otherwise the mucus hypersecretion resolves following re-establishment of airway homeostasis by anti-inflammatory mechanisms (Rose and Voynow, 2006). Mucus hypersecretion is a key feature of many lung diseases, including chronic obstructive pulmonary disease (COPD), asthma, cystic fibrosis and chronic bronchitis, all of which are characterized by decreased lung function. Evidences from literature indicate that sustained increased mucin production with consequent mucus hypersecretion correlate with lung function decrease (Caramori et al., 2009, Innes et al., 2006, Vestbo and Rasmussen, 1989, Vestbo et al., 1996, Ramos et al., 2014). Overall, increased mucin production is necessary but not always sufficient for leading to downstream events. Given the requirement of the KE for AO to occur we suggest high essentiality for the KE “Increase, mucin production” in the AOP148. 

KE: Increase, goblet cell number 

Goblet cells are specialized cells for mucin expression. Following stressor exposure, goblet cell numbers can increase which provides capacity to increase mucin production. Increased goblet cell numbers which can result from goblet cell hyperplasia and/or metaplasia sustain airway mucin overproduction contributing to airway obstruction and consequent lung function decline (Rose and Voynow 2006). Several studies show positive correlation between increase in goblet cell number and decrease in lung fuction (Innes et al., 2006, Raju et al., 2016, Ma et al., 2005, Celly et al., 2006). Considering above-mentioned, we propose high essentiality for the KE “Increase, goblet cell number” in the AOP148. 

Weight of Evidence Summary

Biological Plausibility

KER: EGFR activation leads to Increase, mucin production 

Large number of studies using EGFR-activating ligands and EGFR inhibitors consistently show causal link leading from EGFR activation to increased production of mucin proteins (Barbier et al., 2012, Casalino-Matsuda et al., 2006, Choi et al., 2021, Deshmukh et al., 2008, Hao et al., 2014, Huang et al., 2017, Jia et al., 2021, Kato et al., 2022, Lee et al., 2000, Lee et al., 2011, Liu et al., 2013, Memon et al., 2020, Parker et al., 2015, Perrais et al., 2002, Shim et al., 2001, Song et al., 2016, Takeyama et al., 1999, Takeyama et al., 2001, Takeyama et al., 2008, Takezawa et al., 2016, Val et al., 2012, Wang et al., 2019, Yu et al., 2012a, Yu et al., 2012b). EGFR activation as a leading pathway for increased mucin production has broad acceptance in the scientific community and has been discussed also in review articles (Burgel and Nadel, 2004, Lai and Rogers, 2010). Therefore, we propose high biological plausibility for this KER. 

KER: EGFR activation leads to Increase, goblet cell number 

EGFR ligands and variety of stressors such as oxidative stress, cigarette smoke, allergens, viruses and bacterial endotoxins increase goblet cell number in an EGFR-dependent manner (Casalino-Matsuda et al., 2006, Gu et al., 2008, Hirota et al., 2012, Jia et al., 2021, Parker et al., 2015, Shatos et al., 2008, Song et al., 2016, Takeyama et al., 1999, Takeyama et al., 2001, Takezawa et al., 2016, Tyner et al., 2006a). Given the strong empirical evidence for involvement of EGFR in regulating the number of goblet cells and high reproducibility demonstrated in both in vitro and in vivo studies, we suggest high biological plausibility for this KER. 

KER: Increase, goblet cell number leads to Increase, mucin production 

Goblet cells are specialized cells for mucin production. The increase in the number of goblet cells is needed to accommodate the increased need for mucin production indicating that this KER is an inferred relationship, i.e. the occurrence of the downstream KE is inferred from the fact of occurrence of the upstream KE. Many studies demonstrate the correlation between increase in goblet cell numbers and mucin production (Zuhdi Alimam et al., 2000, Takezawa et al., 2016, Hao et al., 2012, Innes et al., 2006, Liang et al., 2017, Lee et al., 2000, Casalino-Matsuda et al., 2006, Tyner et al., 2006b), in fact the accepted measure of goblet cell number increase is the enhanced staining for mucus in the tissues. Thus, we judge the KER as highly plausible. 

KER: Increase, mucin production leads to Decrease, lung function 

Increased mucus production and hypersecretion is a physiological response to harmful exposures. This response is typically of short duration and does not pose a major problem to normal lung function. However, in the presence of sustained mucus production and secretion, maintained and promoted through increased number of mucin producing goblet cells, airways can become obstructed and result in lung function decline. In addition, impaired mucociliary clearance contributes to airway obstruction (Whitsett, 2018) and it is currently unclear whether chronic mucus hypersecretion alone is sufficient to elicit a decrease in lung function. Clinical studies and model animal research showed that MUC5AC production was inversely correlated with parameters of lung function (FEV1 (% predicted), FEV1/FVC ratio, inspiratory capacity) (Caramori et al., 2009, Innes et al., 2006, Raju et al., 2016), and epidemiological evidence indicates a link between mucus hypersecretion and decreased lung function (Allinson et al., 2016, Pistelli et al., 2003, Vestbo et al., 1996). As a cause-effect relationship cannot be conclusively proven, we suggest moderate biological plausibility for this KER. 

 

 

Quantitative Consideration

There is good quantitative understanding of how EGFR signaling influences mucus production and goblet cell number increase. In the majority of these studies, the summary evidence indicates dose-response relationships, time-response relationships, and causality for EGFR activation leading adjacent downstream KEs, lending strong support for these KERs. However, data for increased mucin production and mucus hypersecretion leading to lung function decline at the organism level are mainly derived from surrogate measures, and while those may not adequately reflect quantitative mucus production, they are accepted in the clinical community as an indicator of lung diseases, such as COPD, chronic bronchitis and asthma. 

Considerations for Potential Applications of the AOP (optional)

The future application of this AOP lies in its potential for predicting decreased lung function in humans exposed to potentially harmful inhaled substances. This becomes especially pertinent as impaired lung function carries a significant risk of morbidity and mortality. Owing to the long latency period between exposure and detectable decreases in lung function for most environmental pollutants, together with the fact that lung function tests alone may not be sufficiently sensitive to account for early lung damage that remains asymptomatic, means for early identification of potentially hazardous exposures are critical for the development of appropriate public health interventions. The AOP could provide a framework for mapping out suitable in vitro models and tests for evaluation of distinct KEs in different exposure contexts thus contributing to eventual replacement of in-vivo tests in animals. The predictive power of AOP aligns well with IATA framework to integrate diverse sources of information as a mechanistic support on chemical hazard characterization. 

 

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Appendix 1

List of MIEs in this AOP

Event: 941: Activation, EGFR

Short Name: Activation, EGFR

Key Event Component

Process Object Action
epidermal growth factor-activated receptor activity epidermal growth factor receptor occurrence
phosphorylation epidermal growth factor receptor increased

AOPs Including This Key Event

AOP ID and Name Event Type
Aop:148 - EGFR Activation Leading to Decreased Lung Function MolecularInitiatingEvent

Stressors

Name
Cigarette smoke
Acrolein
Hydrogen peroxide
2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)
Nicotine
benzo[a]pyrene
PM 2.5
Wood smoke
2,3-Butanedione
Carbon nanotubes
Ozone
1,2,5,6,9,10-Hexabromocyclododecane
Tetrabromobisphenol A

Biological Context

Level of Biological Organization
Molecular

Cell term

Cell term
epithelial cell

Organ term

Organ term
lung

Evidence for Perturbation by Stressor

Overview for Molecular Initiating Event

EGFR activation in lung epithelial cells can be triggered by exposure to H2O2 (Goldkorn et al., 1998; Takeyama et al., 2000), naphthalene (Van Winkle et al., 1997), cigarette smoke (Takeyama et al., 2001; de Boer et al., 2006; Marinaş et al., 2011; Yu et al., 2011; Yu et al., 2015), acrolein (Deshmukh et al., 2008), and TCDD (Lee et al., 2011). Mechanistically, this process is dependent on ROS-mediated activation of metalloproteinases or ADAMs which cleave membrane-bound EGFR ligand precursors, making them locally available to bind to and transactivate EGFR in an autocrine manner (Deshmukh et al., 2009; Kim et al., 2004; Val et al., 2012; Yoshisue and Hasegawa, 2004). Furthermore, ligand binding to EGFR itself was shown to lead to H2O2 production, thereby facilitating receptor activation and downstream signaling (DeYulia et al., 2005; DeYulia and Cárcamo, 2005; Truong and Carroll, 2012).

Cigarette smoke

EGFR phosphorylation increased in lungs of Sprague-Dawley rats that were whole-body exposed (inExpose smoking system; SCIREQ, Montreal, Canada) at a total particulate matter (TPM) concentration of 2000 mg/m3 for 1 h (20 cigarettes) daily for 56 days (Chen et al., 2020); in lungs of Sprague-Dawley rats exposed to 12 cigarettes daily for 40 days (Nie et al., 2012); inlungs of Sprague-Dawley rats that were whole body-exposed to six nonfiltered cigarettes per day, 5 d/wk, for 2 to 28 days (Hegab et al., 2007); in lungs of Sprague-Dawley rats exposed to 10 cigarettes per h, 6 h per day for 60 days (Wu et al., 2011); in lungs of C57Bl6/J mice exposed to cigarette smoke at a TPM concentration of 100 mg/m(Teague Enterprises, Davis, CA) for 6 h a day, 5 days a week for two weeks (Mishra et al., 2016); in lungs of A/J mice that were exposed to cigarette smoke at a TPM concentration of 80 mg/m3 (Teague Enterprises, Davis, CA) for 4 h a day, 5 days per week for 1 year (Geraghty et al., 2014); in lungs of Balb/c mice exposed to mainstream cigarette smoke for 2 h twice daily, 6 days per week for 4 weeks (Wang et al., 2018); in primary human bronchial epithelial cells and NuLi-1 bronchial epithelial cell monolayers following exposure to cigarette smoke (Mishra et al., 2016); in primary bronchial epithelial cell monolayers following treatment with cigarette smoke extract (Zhang et al., 2012); in primary human airway epithelial cells differentiated at the air-liquid interface following treatment with cigarette smoke extract (Zhang et al., 2013; Hussain et al., 2018; Cortijo et al., 2011; Chen et al., 2010) or exposure to whole mainstream cigarette smoke (Amatngalim et al., 2016); in human small airway epithelial cell monolayers following treatment with cigarette smoke extract (Geraghty et al., 2014; Agraval and Yadav, 2019); in human NCI-H292 lung cancer cells following treatment with cigarette smoke extract (Takeyama et al., 2001; Shao et al., 2004; Lee et al., 2006; Yang et al., 2012; Wang et al., 2018); in human A549 lung cancer cells following treatment with cigarette smoke extract for 15 min (Dey et al., 2011) or 3 h (Agraval and Yadav, 2019); in immortalized human bronchial epithelial 1HAEo cells following exposure to cigarette smoke (Zhang et al., 2005); human immortalized 16HBE bronchial epithelial cells following treatment with 10% cigarette smoke extract for 24 h (Yu et al., 2015) or 5% cigarette smoke extract for up to 6 h (Heihjink et al., 2012); A549 lung adenocarcinoma and HBE1 papilloma virus-immortalized human bronchial epithelial cells following exposure to cigarette smoke (Khan et al., 2008).

EGFR phosphorylation was approx. two-fold higher in lung tissues, alveolar type II and bronchial epithelial cells of healthy smokers compared to non-smokers and was also elevated in the lungs and lung epithelial cells of COPD smokers (Mishra et al., 2016).

Acrolein

EGFR activation was seen in human NCI-H292 lung cancer cells following treatment with 0.03 µM acrolein for 1 h (Deshmukh et al., 2005; Deshmukh et al., 2008).

Treatment of human normal oral keratinocytes with 5 µM acrolein for 3 h also increased EGFR phosphorylation (Tsou et al., 2021).

Hydrogen peroxide

H2O2 treatment increased EGFR tyrosine phosphorylation in NCI-H292 lung cancer cells (Takeyama et al., 2000) and in normal human nasal epithelial cells (Kim et al., 2008; Kim et al., 2010).

2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)

Phosphorylation of EGFR was significantly increased in normal human bronchial epithelial cells differentiated at the air-liquid interface following treatment with 10 nM TCDD for 0.5, 3, 4, and 6 h (Lee et al., 2011).

Nicotine

Increased EGFR phosphorylation was seen in normal human bronchial epithelial cells following treatment with 500 μM nicotine for 1 h (Martínez-García et al., 2008) or with 1 nM nicotine for 48 h (Lupacchini et al., 2021). EGFR activation is also seen in human lung cancer cells (A549, H1975) following treatment with 100 nM nicotine (Wang et al., 2020), human dysplastic oral keratinocytes following treatment with up to 10 µM nicotine (Wisniewski et al., 2018).

benzo[a]pyrene

EGFR phosphorylation increased in A549 lung cancer cells treated with 1 µM benzo[a]pyrene for 4 or 2 weeks (Kometani et al., 2009).

Treatment of immortalized human bronchial epithelial HBEC-2 and BEAS-2B cells with BPDE for 2 h increased EGFR activation in a dose-dependent manner (Xu et al., 2012).

 

PM 2.5

Intratracheal instillation of PM 2.5 (collected at a major city of central China; 4 mg/kg body weight) in Balb/c mice once a day for 5 consecutive days induced phosphorylation of EGFR (Tyr1068) in lung tissues (Jin et al., 2016).

Intratracheal instillation of PM 2.5 (collected at Seoul, Korea), either as an aqueous extract or a dichloromethane extract at high concentrations (164 µg/50 µL), in Balb/c mice once a week for 4 weeks induced phosphorylation of EGFR (Tyr1068) in lung tissues (Jeong et al., 2017).

Treatment of human immortalized bronchial epithelial BEAS-2B cells with with 0, 20, 50, 100 and 150 μg/mL PM 2.5 (collected on the roof of Science and Technology Building on the campus of Xinxiang Medical University, China) for 6 h increased EGFR Y1068 phosphorylation in a concentration-dependent manner (Wang et al., 2020).

Wood smoke

EGFR activation (increased phospho-EGFR (Y1068)) was seen in primary human lobar bronchial epithelial cells incubated with 20 µg/cm2 pine wood smoke particulate matter (WSPM) for 6 h, but not at 2 h (Memon et al., 2020).

In NCI-H292 lung cancer cells stimulated with WSPM2.5 (8 μg/mL), EGFR phosphorylation increased continuously over time, with a significant increase observed at 60 min (Huang et al., 2017).

2,3-Butanedione

EGFR phosphorylation increased in H292 lung cancer cells following treatment with diacetyl (2,3-butanedione) (Kelly et al., 2019).

Carbon nanotubes

Treatment of rat RLE-6TN lung epithelial cells with 10 µg/cm2 carbon nanoparticles (CNP Printex 90, Degussa, Essen, Germany) for 5 min significantly increased EGFR Tyr845 phosphorylation (Stöckmann et al., 2018).

Ozone

Exposure to O3 (0.25–1.0 ppm) concentration- and time-dependently increased EGFR Y1068 and Y845 phosphorylation in human immortalized bronchial epithelial BEAS-2B cells (Wu et al., 2015).

Exposure of Balb/c mice to 0.25, 0.5, or 1.0 ppm ozone for 3 h a day, for 7 days increased EGFR Y1068 phosphorylation in the bronchial epithelium in a concentration-dependent manner (Feng et al., 2016).

1,2,5,6,9,10-Hexabromocyclododecane

EGFR phosphorylation increased significantly in human immortalized bronchial epithelial BEAS-2B cells following exposure to 10 μg/mL hexabromocyclodecane for 15 min (Koike et al., 2016).

Tetrabromobisphenol A

EGFR phosphorylation increased significantly in human immortalized bronchial epithelial BEAS-2B cells following exposure to 10 μg/mL tetrabromobisphenol A for 15 min (Koike et al., 2016).
 

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
human Homo sapiens High NCBI
mouse Mus musculus High NCBI
rat Rattus norvegicus High NCBI
Life Stage Applicability
Life Stage Evidence
Adult High
Sex Applicability
Sex Evidence
Mixed Moderate

EGFR activation in human, mouse and rat is well documented, and EGF ligands and EGFR are orthologous in these species. EGFR is a driver of human cancer in various tissues and numerous drugs are approved that inhibit EGFR activation (Ciardiello and Tortora, 2008). Although EGFR and its ligands are expressed in human, mouse and rat, species differences have been noted in binding and structure (Nexø and Hansen, 1985), and even can have opposite downstream effects in mouse and rat (Kiley and Chevalier, 2007).

Key Event Description

The epidermal growth factor receptor (EGFR, also referred to as ERBB1/HER1) is part of the ERBB family of receptor tyrosine kinases comprising another three distinct receptors, ERBB2/NEU/HER2, ERBB3/HER3 and ERBB4/HER4 (Yarden and Sliwkowski, 2001), all of which are transmembrane glycoproteins with an extracellular ligand binding site and an intracellular tyrosine kinase domain. Receptor-ligand binding induces dimerization and internalization, subsequently leading to activation of the receptor through autophosphorylation (Higashiyama et al., 2008). 

ERBB family of receptors are expressed in tissues of epithelial, mesenchymal and neuronal origin, and EGFR pathway is involved in wide range of processes such as reproduction, growth and development (Wong, 2003, Yano et al., 2003). EGFR signaling is central to airway epithelial maintenance and mucin production (Burgel and Nadel, 2008), and EGFR expression has been demonstrated in lung epithelial cells under physiological (albeit weakly) as well as pathological conditions in vitro and in vivo (Aida et al., 1994, Burgel and Nadel, 2008, Polosa et al., 1999, O’donnell et al., 2004). Of note, lung epithelial cell EGFR phosphorylation (i.e., activation) was increased under conditions of oxidative stress including exposure to H2O2 (Goldkorn et al., 1998), naphthalene (Van Winkle et al., 1997), cigarette smoke (Marinaş et al., 2011) and in the presence of neutrophils or neutrophil elastase (Kohri et al., 2002, Shao and Nadel, 2005, Shim et al., 2001, Takeyama et al., 2000). EGFR activation by oxidative stress may have a number of root causes: ROS were shown to increase production of EGF, the prime EGFR ligand, by lung epithelial cells (Casalino-Matsuda et al., 2004). Similarly, expression and secretion of TGF-α and AREG, also EGFR ligands, were elevated in human bronchial epithelial cells in response to fine particulate matter (PM2.5) and cigarette smoke exposure (Blanchet et al., 2004, Lemjabbar et al., 2003, Rumelhard et al., 2007). Mechanistically, this process is dependent on activation of metalloproteinases or ADAMs which cleave membrane-bound EGFR ligand precursors, making them locally available to bind to and transactivate EGFR in an autocrine manner (Deshmukh et al., 2005, Val et al., 2012, Yoshisue and Hasegawa, 2004). Furthermore, ligand binding to EGFR itself was shown to lead to H2O2 production, thereby facilitating receptor activation and downstream signaling, partly also through inhibition of EGFR phosphatase PTP1B (DeYulia et al., 2005, DeYulia Jr. and Cárcamo, 2005, Truong and Carroll, 2012). In addition, multiple lines of evidence suggest that oxidative modification, specifically EGFR sulfenylation, contributes to enhanced tyrosine phosphorylation of the receptor and downstream signaling (Paulsen et al., 2011, Truong and Carroll, 2012, Truong et al., 2016). 

Classical EGFR downstream signaling involves activation of RAS which subsequently initiates signal transduction through the RAF1/MEK/ERK cascade (Hackel et al., 1999). The activation of this pathway promotes airway epithelial cell proliferation and differentiation, and facilitates epithelial wound repair (Chambard et al., 2007, Berlanga-Acosta et al., 2009). Another principal signaling cascade downstream of EGFR is phosphatidylinositol-3-kinase (PI3K)/protein kinase B (AKT) pathway, which promotes cell proliferation and inhibits apoptosis (Goffin and Zbuk, 2013). 

Evidence for Perturbation by Stressor 

EGFR activation in respiratory tract epithelial cells can be triggered by exposure to hydrogen peroxide (Goldkorn et al., 1998, Takeyama et al., 2000, Kim et al., 2008, Kim et al., 2010b), ozone (Wu et al., 2015, McCullough et al., 2014, Feng et al., 2016), naphthalene (Van Winkle et al., 1997), cigarette smoke (Takeyama et al., 2001, Yu et al., 2012a), nicotine (Wang et al., 2020b, Martínez-García et al., 2008), benzo[a]pyrene and its diol epoxide metabolite (Kometani et al., 2009, Xu et al., 2012), acrolein (Deshmukh et al., 2008), fine particulate matter (PM 2.5) (Jin et al., 2017, Jeong et al., 2017, Huang et al., 2017, Jiao et al., 2022, Tung et al., 2021, Wang et al., 2020a), carbon nanoparticles (Stöckmann et al., 2018), (Shang et al., 2020), bacterial lipopolysaccharide (LPS) (Takezawa et al., 2016), 2,3-butanedione (Kelly et al., 2019), and other chemical stressors such as hexabromocyclododecane and tetrabromobisphenol A (Koike et al., 2016), 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) (Lee et al., 2011). Some of these stressors induce EGFR pathway activation also in other cell models. In addition to respiratory epithelium, acrolein activated EGFR in human normal oral keratinocytes (Takeuchi et al., 2001, Tsou et al., 2021) as well as in mouse J774A.1 macrophage cell line (Kim et al., 2010a), PM 2.5 induced EGFR activation in human thyroid follicular epithelial Nthy-ori 3-1 cells (Moscatello et al., 2022). Following nicotine treatment EGFR was shown to be activated in MCF10A and MDA-MB-231 breast cancer cells (Nishioka et al., 2011) and in human dysplastic oral keratinocytes (Wisniewski et al., 2018). LPS activates EGFR in several different model systems such as intestinal epithelial cells, RAW 264.7 macrophages, mammary epithelial cells, human intrahepatic biliary epithelial cells (HIBECs), etc (McElroy et al., 2012, Lu et al., 2014, De et al., 2015, Liu et al., 2013). Pro-inflammatory cytokines (e.g. SDF-1α) induce EGFR activity in IMR90 cells and human umbilical vein endothelial cells (HUVECs) (Shang et al., 2020). 

How it is Measured or Detected

  • Proof of EGFR activation can be derived from protein-analytical techniques such as Western blots of e.g. untreated and treated cell or tissue lysates using specific antibodies targeting the phosphorylated EGFR epitopes (Casalino-Matsuda et al., 2006, Hao et al., 2014).  

  • Phosphorylated, hence active EGFR can be detected and quantified also by Enzyme-Linked Immunosorbent Assay (ELISA) (Barbier et al., 2012, Knudsen et al., 2014). Detailed method description and different types of ELISA can be found in Tabatabaei and Ahmed research method article (Tabatabaei and Ahmed, 2022). 

  • Suppression of EGFR activity with EGFR inhibitors such as AG1478 and BIBX 1522 or neutralizing antibodies is well suited to demonstrate EGFR’s involvement in signaling (Memon et al., 2020, Perrais et al., 2002, Val et al., 2012, Wang et al., 2019, Yu et al., 2012b). 

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List of Key Events in the AOP

Event: 2117: Increase, goblet cell number

Short Name: Increase, goblet cell number

Key Event Component

Process Object Action
goblet cell increased

AOPs Including This Key Event

Biological Context

Level of Biological Organization
Cellular

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
rat Rattus norvegicus NCBI
mouse Mus musculus NCBI
rabbit Oryctolagus cuniculus NCBI
guinea pig Cavia porcellus NCBI
human Homo sapiens NCBI
Sex Applicability
Sex Evidence
Unspecific

The increased number of goblet cells in response to stressors can be found in rats, mice, rabbits, guinea pigs, and humans.  

Key Event Description

Goblet cell is a mucus secreting cell type that can be found in epithelial mucosa of the intestine, lung, and eye. Goblet cells are necessary for mucosal epithelial homeostasis as well as for the appropriate function of both innate and adaptive immunity. Alterations in goblet cell numbers are characteristics of some pathologies. In the airway, the increased number of goblet cells is generally associated with diseases, such as asthma, cystic fibrosis, and chronic obstructive pulmonary disease (COPD). While some disorders of the intestine and conjunctiva are associated with the decrease in goblet cell numbers, Crohn’s disease, cystic fibrosis, allergic conjunctivitis, and inverted mucoepidermoid papilloma have increased number of goblet cells (McCauley & Guasch, 2015). Goblet cell hyperplasia (GCH) can arise following airway injury and is defined by otherwise intact epithelium with an increase in the number of goblet cells (Hao et al, 2012; SAETTA et al, 2000). Pathologists define goblet cell metaplasia as apparent loss of ciliated or club cells with an increase of goblet cells, without an apparent increase in the total number of epithelial cells (Lumsden et al, 1984; Reader et al, 2003; Shimizu et al, 1996). The increased number of goblet cells via proliferation has been demonstrated in the rat intestine (Hino et al, 2012) and eye (Gu et al, 2008; Li et al, 2013; Shatos et al, 2008) in response dietary fiber and EGFR stimulation, respectively. 

Evidence for Perturbation by Stressor 

Several studies have shown that the number of goblet cells increase in response to various stressors. Cigarette smoke exposure resulted in the increase in the number of goblet cells in the airway of rats (Kato et al, 2020; Xiao et al, 2011), mice (Mebratu et al, 2011; Yang et al, 2020), dogs (Park et al, 1977), monkeys (Manevski et al, 2022), and in human airway epithelial cells cultured in air-liquid interface (Haswell et al, 2010; Haswell et al, 2021). Similarly, exposure of mice or rats to nebulized acrolein resulted in goblet cell metaplasia in the airways (Chen et al, 2010; Liu et al, 2009; Wang et al, 2009) and the treatment of primary human bronchial epithelial cells differentiated at the air-liquid interface with up to 1 µM acrolein induced a concentration dependent increase in the percentage of MUC5A-positive cells (Haswell et al., 2010). Ozone has also been shown to contribute to the increased number of goblet cells in the airways of mice (Jang et al, 2006; Larsen et al, 2010) and rats (Wagner et al, 2003). The goblet cell numbers also increased in the intestine of rats infected with Hymenolepis diminuta (tapeworm) (Webb et al, 2007) and mice infected with Nippostrongylus brasiliensis (hookworm) (Turner et al, 2013). Finally, air pollution was shown to trigger GCH in the eye (Novaes et al, 2007). 

How it is Measured or Detected

There are few standard ways to measure the increased number of goblet cells in a tissue specimen or cultured cells: 

  • The mucin-producing secretory granules of goblet cells can be identified easily by light or electron microscopy (Rogers, 1994). The stages of metaplastic transformation can be identified as early cilia-goblet cells, late cilia-goblet, and mature goblet cells using transmission electron micrographs (Tyner et al, 2006). In laboratory animals, GCH may be identified by a pathologist as an increase in the number of goblet cells in an epithelium which normally contains only few goblet cells (Harkema & Hotchkiss, 1993).  

  • The increased number of goblet cells can be measured by staining the tissue or ALI culture with antibody recognizing MUC5 and counting the number of labeled cells/mm of epithelium or percentage of positive cells in the epithelium (Casalino-Matsuda et al, 2006; Jia et al, 2021; Lou et al, 1998; Tyner et al., 2006).  

  • Alternatively, many researchers use hematoxylin and eosin to stain the entire epithelial area (total number of nuclei) and Alcian blue (AB)-periodic acid-Schiff (PAS) to stain the intracellular mucous glycoconjugates, marking goblet cells. The change in goblet cell numbers is defined by the change in the proportion of AB-PAS-stained surface of the entire epithelial cell area over a length of 2 mm of the basal lamina (Takeyama et al, 2008).  

  • AB staining can be combined with goblet cell marker, Clca3, expressed as the goblet cell area / bronchial basement membrane (Leverkoehne et al, 2006; Song et al, 2016). 

  • Bromo-deoxyuridine (BrDU) incorporation can be used to identify the proliferating goblet cells in tissue specimens (GRANT & Specian, 1998; Hino et al., 2012). 

  • Proliferating Cell Nuclear Antigen 19A2 (PCNA) staining was used to identify proliferating goblet cells in the crypt of the intestinal wall in rabbits (GRANT & Specian, 1998). 

  • In a culture that consist solely of goblet cells (e.g., from conjunctiva), increase in goblet cells via proliferation was measured by Ki-67 immunofluorescent staining (Gu et al., 2008). 

References

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Chen Y-J, Chen P, Wang H-X, Wang T, Chen L, Wang X, Sun B-B, Liu D-S, Xu D, An J (2010) Simvastatin attenuates acrolein-induced mucin production in rats: involvement of the Ras/extracellular signal-regulated kinase pathway. International immunopharmacology 10: 685-693 

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Haswell LE, Smart D, Jaunky T, Baxter A, Santopietro S, Meredith S, Camacho OM, Breheny D, Thorne D, Gaca MD (2021) The development of an in vitro 3D model of goblet cell hyperplasia using MUC5AC expression and repeated whole aerosol exposures. Toxicology Letters 347: 45-57 

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Webb R, Hoque T, Dimas S (2007) Expulsion of the gastrointestinal cestode, Hymenolepis diminuta by tolerant rats: evidence for mediation by a Th2 type immune enhanced goblet cell hyperplasia, increased mucin production and secretion. Parasite immunology 29: 11-21 

Xiao J, Wang K, Feng Y-l, Chen X-r, Xu D, Zhang M-k (2011) Role of extracellular signal-regulated kinase 1/2 in cigarette smoke-induced mucus hypersecretion in a rat model. Chinese medical journal 124: 3327-3333 

Yang T, Wang H, Li Y, Zeng Z, Shen Y, Wan C, Wu Y, Dong J, Chen L, Wen F (2020) Serotonin receptors 5-HTR2A and 5-HTR2B are involved in cigarette smoke-induced airway inflammation, mucus hypersecretion and airway remodeling in mice. International immunopharmacology 81: 106036 

Event: 962: Increase, Mucin production

Short Name: Increase, Mucin production

Key Event Component

Process Object Action
gene expression mucin-5AC increased
translation mucin-5AC increased

AOPs Including This Key Event

Stressors

Name
Acrolein
2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)
Wood smoke
Cigarette smoke

Biological Context

Level of Biological Organization
Cellular

Cell term

Cell term
goblet cell

Organ term

Organ term
lung

Evidence for Perturbation by Stressor

Acrolein

Exposure of Sprague-Dawley rats to 3 ppm acrolein for 6 h a day, for 12 days significantly increased lung Muc5ac gene and protein expression (Chen et al., 2013). 

Bronchoalveolar lavage fluid mucin content as well as Muc5ac gene and protein expression were significantly increased in the lungs of Sprague-Dawley rats that were exposed to 3 ppm of acrolein for 6 h a day, 7 days a week, for up to 2 weeks (Liu et al., 2009).

Exposure of Sprague Dawley rats to 3 ppm acrolein for 6 h a day, 5 days a week, for up to 12 days significantly increased Muc5ac gene expression in trachea and lung (Borchers et al., 1998).

Exposure of Sprague Dawley rats to 3 ppm acrolein for 3 h a day, 7 days a week, for up to 4 days significantly increased Muc5ac gene and protein expression in the lungs (Wang et al., 2009).

2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)

Treatment of primary normal human bronchial epithelial cells and immortalized human bronchial epithelial HBE1 cells with 10 nM TCDD for up to 48 h increased MUC5AC gene expression in a time-dependent manner. TCDD treatment (10 nM) of primary normal human bronchial epithelial cells also significantly increased MUC5AC protein levels (Lee et al., 2011).

Wood smoke

In the tracehas of rats that were nose-only exposed to smoke from burning Douglas fir wood (25 g) for up to 20 min, Muc5ac gene expression was increased at 24 h post-exposure (Bhattacharyya etal., 2004).

Cigarette smoke

Treatment of immortalized human bronchial epithelial 16HBE cells with cigarette smoke extract increased MUC5AC gene and protein expression in a concentration-dependent manner (Yu et al., 2011; Yu et al., 2015). Treatment of NCI-H292 lung cancer cells with cigarette smoke extract increased MUC5AC gene and protein expression in a concentration- and time-dependent manner (Takeyama et al., 2001; Shao et al., 2004; Baginski et al., 2006; Lee et al., 2006; Montalbano et al., 2014). Cigarette smoke extract treatment of A549 lung cancer cells (2 h) and primary human bronchial epithelial cells differentiated at the air-liquid interface (6 h and 16 h) increased MUC5AC gene and protein expression (Di et al., 2012).

Whole-body exposure (TE-10 Teague Enterprises, Davis, CA) of rats to smoke from 1R1 research cigarettes (University of Kentucky; increasing dose between 123 to 323 mg/m3 total smoking particulate matter) for 2 h per day, 5 days per week, for 8 weeks significantly elevated Muc5ac levels in the bronchoalveolar fluid (Kato et al., 2020).

Muc5ac gene expression increased in the lungs of male Sprague-Dawley rats that were whole-body exposed to the smoke of 5 cigarettes a day, for 5 consecutive days (Takeyama et al., 2001).

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
human Homo sapiens High NCBI
mouse Mus musculus High NCBI
rat Rattus norvegicus High NCBI
Life Stage Applicability
Life Stage Evidence
Adult High
Sex Applicability
Sex Evidence
Mixed High

Evidence in support of this KE derives from in vitro studies with human cell systems (Casalino-Matsuda et al., 2009, Dohrman et al., 1998, Hao et al., 2014, Hewson et al., 2004, Lee et al., 2011, Val et al., 2012, Zhu et al., 2009), while corroborating in vivo evidence comes from studies in rodents (mouse or rat) (Hao et al., 2014, Song et al., 2016, Takeyama et al., 2001, Wagner et al., 2003). 

Key Event Description

Mucins are a family of highly glycosylated proteins produced by epithelial tissues and constitute major macromolecular components of mucus which protects epithelium from chemical and mechanical damage (Dhanisha et al., 2018). Mucin production in healthy airway provides an important role in trapping and removing bacterial and viral pathogens and particulates. Similarly, mucus layer in the intestinal epithelium provides first line of defense against physical and chemical hazards, notably ingested food and bacteria (Kim and Ho, 2010). In airways, major gel-forming secreted mucins MUC5AC and MUC5B are primarily involved in defensive function. MUC2 is the major intestinal mucin but is also expressed in the airway epithelium, and MUC19 is the major mucin in salivary glands (Lillehoj et al., 2013). Specialized mucin-producing goblet cells increase mucin production in respiratory tract in response to various irritants and stressors (Rogers, 2003). Many stressors specifically induce mucin mRNA and protein production through activation of the epidermal growth factor receptor (EGFR) pathway (Nadel, 2013). However, other signaling pathways, not necessarily requiring EGFR activation, via STAT6, FOXA2 and SPDEF have also been implicated in mucin overexpression (Turner and Jones, 2009).  

Evidence for Perturbation by Stressor 

Various stressors such as cigarette smoke (Shao et al., 2004, Takeyama et al., 2001), reactive oxygen species (Yu et al., 2011, Casalino-Matsuda et al., 2009), phorbol 12-myristate 13-acetate (PMA) (Hewson et al., 2004), 2,3,7,8-tetrachlorodibenzodioxin (TCDD) (Lee et al., 2011), ozone (Wagner et al., 2003), fine particulate matter (Val et al., 2012), allergens such as ovalbumin (Song et al., 2016), as well as bacteria and viruses (Dohrman et al., 1998, Hao et al., 2014, Zhu et al., 2009) increase mucin production in respiratory airways. Wide range of inflammatory cytokines such as interleukin (IL) 1B, IL4, IL6, IL9, IL13, TNF, induce mucin production in different tissues, including respiratory and intestinal epithelium (Linden et al., 2008). Injection of the urban particulate matter into the middle ear cavity of rats increased MUC5AC and MUC5B expression in the middle ear mucosa (Park et al., 2014). Bacterial lipopolysaccharide (LPS) induced mucin expression in human intrahepatic biliary epithelial cells (HIBECs), colon adenocarcinoma cell line HT29, etc (Liu et al., 2013, Smirnova et al., 2003). 

How it is Measured or Detected

In the literature, increased mucin production is frequently equated with increased MUC5AC mRNA and protein expression and less frequently with changes in MUC5B, MUC2 mRNA and protein levels. Due to high molecular weight and extensive glycosylated nature of mucins, conventional polyacrylamide gel-based protein analytic approaches can be challenging for mucin measurements (Kesimer and Sheehan, 2012). Strategies and methods for measuring airway mucins are thoroughly described in a review by Atanasova and Reznikov (Atanasova and Reznikov, 2019). Below we list the methods commonly used for mucin production detection and measurement. 

  • Alterations in mucin genes (MUC5AC, MUC5B) expression in cell and tissue lysates are commonly assessed by RT-PCR or RT-qPCR (Yu et al., 2011, Shao et al., 2004, Lee et al., 2011, Wagner et al., 2003, Hao et al., 2014, Zhu et al., 2009, Val et al., 2012). For absolute quantification of MUC5AC and MUC5B transcript copy numbers droplet digital PCR can be performed (Okuda et al., 2019). 

  • In situ hybridization is used in some studies for mucin (MUC5AC, MUC5B, MUC2) mRNA quantification (Takeyama et al., 2001, Dohrman et al., 1998, Okuda et al., 2019). 

  • For mucin mRNA detection and quantification RNase protection assay (RPA) is also used (Dohrman et al., 1998). 

  • Northern blot of mucin mRNAs can also be applied for mucin gene expression measurement (Chen et al., 2006, Zuhdi Alimam et al., 2000). 

  • In addition, assessment of mucin gene promoter activity by reporter gene expression (e.g. luciferase assay) allows assumptions on mucin expression levels (Chen et al., 2006). 

  • Changes in mucin protein levels can be detected by Western blot in cell and tissue lysates using suitable antibodies (Lee et al., 2011, Okuda et al., 2019, Ramsey et al., 2016). 

  • As a quick alternative to Western blot, dot-blot /slot-blot assay can be performed (Thornton et al., 1989). 

  • Secreted mucin protein levels can be detected and quantified by Enzyme-Linked Immunosorbent Assay (ELISA) (Yu et al., 2011, Shao et al., 2004, Wagner et al., 2003, Dohrman et al., 1998, Song et al., 2016). ELISA method description for detection and quantification of mucin molecules can be found in the article from Steiger and colleagues (Steiger et al., 1994). 

  • Analytical techniques such as immunocyto/histochemistry/immunofluorescence in cytological preparations or histological tissue sections with an appropriate antibody are also common methods of mucin protein level quantification (Zhu et al., 2009, Okuda et al., 2019). For immunofluorescent assays fluorescent dyes such as fluorescein isothiocyanate, Alexa488, Alexa555 are applied with subsequent visualization (e.g. confocal laser scanning or fluorescence microscopy) (Yu et al., 2011, Casalino-Matsuda et al., 2009, Val et al., 2012).  

  • Immunoassay of MUC5AC protein is also used as mucin protein detection method, as described in the study of Takeyama and colleagues (Takeyama et al., 2001). 

  • MUC5AC positive cell number determination through flow cytometry is another method for comparing and quantifying stressor-treated samples to control samples (Val et al., 2012).  

  • For in vivo studies and clinical samples, an experienced pathologist may judge the presence and severity of mucin production on histological tissue sections stained with hematoxylin/eosin and Alcian blue and/or periodic acid Schiff stains (Song et al., 2016, Atanasova and Reznikov, 2019, Okuda et al., 2019). 

  • Mass spectrometric approaches could be utilized for targeted identification of mucins and their quantification in cell and tissue samples (Kesimer and Sheehan, 2012). 

References

ATANASOVA, K. R. & REZNIKOV, L. R. 2019. Strategies for measuring airway mucus and mucins. Respir Res, 20, 261. 

CASALINO-MATSUDA, S. M., MONZON, M. E., DAY, A. J. & FORTEZA, R. M. 2009. Hyaluronan fragments/CD44 mediate oxidative stress-induced MUC5B up-regulation in airway epithelium. Am J Respir Cell Mol Biol, 40, 277-85. 

CHEN, Y., NICKOLA, T. J., DIFRONZO, N. L., COLBERG-POLEY, A. M. & ROSE, M. C. 2006. Dexamethasone-mediated repression of MUC5AC gene expression in human lung epithelial cells. Am J Respir Cell Mol Biol, 34, 338-47. 

DHANISHA, S. S., GURUVAYOORAPPAN, C., DRISHYA, S. & ABEESH, P. 2018. Mucins: Structural diversity, biosynthesis, its role in pathogenesis and as possible therapeutic targets. Crit Rev Oncol Hematol, 122, 98-122. 

DOHRMAN, A., MIYATA, S., GALLUP, M., LI, J. D., CHAPELIN, C., COSTE, A., ESCUDIER, E., NADEL, J. & BASBAUM, C. 1998. Mucin gene (MUC 2 and MUC 5AC) upregulation by Gram-positive and Gram-negative bacteria. Biochim Biophys Acta, 1406, 251-9. 

HAO, Y., KUANG, Z., JING, J., MIAO, J., MEI, L. Y., LEE, R. J., KIM, S., CHOE, S., KRAUSE, D. C. & LAU, G. W. 2014. Mycoplasma pneumoniae modulates STAT3-STAT6/EGFR-FOXA2 signaling to induce overexpression of airway mucins. Infect Immun, 82, 5246-55. 

HEWSON, C. A., EDBROOKE, M. R. & JOHNSTON, S. L. 2004. PMA induces the MUC5AC respiratory mucin in human bronchial epithelial cells, via PKC, EGF/TGF-alpha, Ras/Raf, MEK, ERK and Sp1-dependent mechanisms. J Mol Biol, 344, 683-95. 

KESIMER, M. & SHEEHAN, J. K. 2012. Mass spectrometric analysis of mucin core proteins. Methods Mol Biol, 842, 67-79. 

KIM, Y. S. & HO, S. B. 2010. Intestinal goblet cells and mucins in health and disease: recent insights and progress. Curr Gastroenterol Rep, 12, 319-30. 

LEE, Y. C., OSLUND, K. L., THAI, P., VELICHKO, S., FUJISAWA, T., DUONG, T., DENISON, M. S. & WU, R. 2011. 2,3,7,8-Tetrachlorodibenzo-p-dioxin-induced MUC5AC expression: aryl hydrocarbon receptor-independent/EGFR/ERK/p38-dependent SP1-based transcription. Am J Respir Cell Mol Biol, 45, 270-6. 

LILLEHOJ, E. P., KATO, K., LU, W. & KIM, K. C. 2013. Cellular and molecular biology of airway mucins. Int Rev Cell Mol Biol, 303, 139-202. 

LINDEN, S. K., SUTTON, P., KARLSSON, N. G., KOROLIK, V. & MCGUCKIN, M. A. 2008. Mucins in the mucosal barrier to infection. Mucosal Immunol, 1, 183-97. 

LIU, Z., TIAN, F., FENG, X., HE, Y., JIANG, P., LI, J., GUO, F., ZHAO, X., CHANG, H. & WANG, S. 2013. LPS increases MUC5AC by TACE/TGF-α/EGFR pathway in human intrahepatic biliary epithelial cell. Biomed Res Int, 2013, 165715. 

OKUDA, K., CHEN, G., SUBRAMANI, D. B., WOLF, M., GILMORE, R. C., KATO, T., RADICIONI, G., KESIMER, M., CHUA, M., DANG, H., LIVRAGHI-BUTRICO, A., EHRE, C., DOERSCHUK, C. M., RANDELL, S. H., MATSUI, H., NAGASE, T., O'NEAL, W. K. & BOUCHER, R. C. 2019. Localization of Secretory Mucins MUC5AC and MUC5B in Normal/Healthy Human Airways. Am J Respir Crit Care Med, 199, 715-727. 

PARK, M. K., CHAE, S. W., KIM, H. B., CHO, J. G. & SONG, J. J. 2014. Middle ear inflammation of rat induced by urban particles. Int J Pediatr Otorhinolaryngol, 78, 2193-7. 

RAMSEY, K. A., RUSHTON, Z. L. & EHRE, C. 2016. Mucin Agarose Gel Electrophoresis: Western Blotting for High-molecular-weight Glycoproteins. J Vis Exp. 

SHAO, M. X., NAKANAGA, T. & NADEL, J. A. 2004. Cigarette smoke induces MUC5AC mucin overproduction via tumor necrosis factor-alpha-converting enzyme in human airway epithelial (NCI-H292) cells. Am J Physiol Lung Cell Mol Physiol, 287, L420-7. 

SMIRNOVA, M. G., GUO, L., BIRCHALL, J. P. & PEARSON, J. P. 2003. LPS up-regulates mucin and cytokine mRNA expression and stimulates mucin and cytokine secretion in goblet cells. Cell Immunol, 221, 42-9. 

SONG, L., TANG, H., LIU, D., SONG, J., WU, Y., QU, S. & LI, Y. 2016. The Chronic and Short-Term Effects of Gefinitib on Airway Remodeling and Inflammation in a Mouse Model of Asthma. Cell Physiol Biochem, 38, 194-206. 

STEIGER, D., FAHY, J., BOUSHEY, H., FINKBEINER, W. E. & BASBAUM, C. 1994. Use of mucin antibodies and cDNA probes to quantify hypersecretion in vivo in human airways. Am J Respir Cell Mol Biol, 10, 538-45. 

TAKEYAMA, K., JUNG, B., SHIM, J. J., BURGEL, P. R., DAO-PICK, T., UEKI, I. F., PROTIN, U., KROSCHEL, P. & NADEL, J. A. 2001. Activation of epidermal growth factor receptors is responsible for mucin synthesis induced by cigarette smoke. Am J Physiol Lung Cell Mol Physiol, 280, L165-72. 

THORNTON, D. J., HOLMES, D. F., SHEEHAN, J. K. & CARLSTEDT, I. 1989. Quantitation of mucus glycoproteins blotted onto nitrocellulose membranes. Anal Biochem, 182, 160-4. 

VAL, S., BELADE, E., GEORGE, I., BOCZKOWSKI, J. & BAEZA-SQUIBAN, A. 2012. Fine PM induce airway MUC5AC expression through the autocrine effect of amphiregulin. Arch Toxicol, 86, 1851-9. 

WAGNER, J. G., VAN DYKEN, S. J., WIERENGA, J. R., HOTCHKISS, J. A. & HARKEMA, J. R. 2003. Ozone exposure enhances endotoxin-induced mucous cell metaplasia in rat pulmonary airways. Toxicol Sci, 74, 437-46. 

YU, H., LI, Q., ZHOU, X., KOLOSOV, V. P. & PERELMAN, J. M. 2011. Role of hyaluronan and CD44 in reactive oxygen species-induced mucus hypersecretion. Mol Cell Biochem, 352, 65-75. 

ZHU, L., LEE, P. K., LEE, W. M., ZHAO, Y., YU, D. & CHEN, Y. 2009. Rhinovirus-induced major airway mucin production involves a novel TLR3-EGFR-dependent pathway. Am J Respir Cell Mol Biol, 40, 610-9. 

ZUHDI ALIMAM, M., PIAZZA, F. M., SELBY, D. M., LETWIN, N., HUANG, L. & ROSE, M. C. 2000. Muc-5/5ac mucin messenger RNA and protein expression is a marker of goblet cell metaplasia in murine airways. Am J Respir Cell Mol Biol, 22, 253-60. 

 

List of Adverse Outcomes in this AOP

Event: 1250: Decrease, Lung function

Short Name: Decreased lung function

Key Event Component

Process Object Action
respiratory function trait decreased

AOPs Including This Key Event

Stressors

Name
Ozone
Nitric oxide
Cigarette smoke
Diesel engine exhaust
PM10

Biological Context

Level of Biological Organization
Individual

Evidence for Perturbation by Stressor

Ozone

Acute exposure of healthy young adult subjects (aged 19 to 35 years, non-smokers) to 0.06 ppm ozone for 6.6 h resulted in a 1.71 + 0.50% (mean + SEM) decrease in FEV1 and a 2.32 + 0.41% decrease in FVC compared with air exposure (Kim et al., 2011).

A US-based study found inverse associations between increasing lifetime exposure to ozone (estimated median: 36; interquartile range 29–45; range 19–64) and FEF75 and FEF25–75 in adolescents (aged 18–20 years) (Tager et al., 2005).

Nitric oxide

In a Dutch cross-sectional study in school children (aged 7–13 years), NOx exposure from industrial emissions per interquartile range of 7.43 μg/m3  had a significantly lower percent predicted peak expiratory flow (PEF) (-3.67%, 95%CI -6.93% to -0.42%). Children exposed to NOx (per interquartile range of 7.43 μg/m3) also had a significantly lower percent forced vital capacity (FVC) and percent predicted 1-s forced expiratory volume (FEV1) (− 2.73 95%CI -5.21 to -0.25) (Bergstra et al., 2018). 

The  European Study of Cohorts for Air Pollution Effects (ESCAPE), a meta-analysis of 5 cohort studies on the association of air pollution with lung function, found that a 10 μg/m3 increase in NO2 exposure was associated with lower levels of FEV1 (−14.0 mL, 95% CI −25.8 to −2.1) and FVC (−14.9 mL, 95% CI −28.7 to −1.1), and an increase of 20 μg/m3 in NOx exposure was associated with a lower level of FEV1, by −12.9 mL (95% CI −23.87 to −2.0) and of FVC, by −13.3 mL (95% CI −25.9 to −0.7) (Adam et al., 2015).

Cigarette smoke

A smoking history of > 20 pack-years decreased pulmonary function including forced vital capacity (FVC), forced expiratory volume in one second (FEV1), FEV1/FVC, and forced expiratory flow at 25–75% (FEF25–75%) (Kuperman and Riker, 1973).

In the Framingham Heart Study, cigarette smoking showed an inverse association with FVC and FEV1% (Ashley et al., 1975).

In the international Seven Countries Study, there was a dose-effect relationship between pack-years and forced expiratory volume in 0.75 s (FEV0.75) in continuous smokers without chronic bronchitis (Pelkonen et al., 2006).

In 34 male subjects aged between 15–18 years who smoked FVC was lower than in an age-matched male group that did not smoke. The most common duration of cigarette smoking was 1–3 years (47%) and the maximal number of cigarettes smoked per day was less than or equal to 10 cigarette(s) per day (88%) (Tantisuwat and Thaveeratitham, 2014). 

A dose–response relation was found between smoking and lower levels of FEV1/FVC and FEF25–75 in children between 10-18 years of age (Gold et al., 1996).

In a study of 147 asthmatics, FEV1%predicted was significantly lower in ex-smokers and current smokers compared with never-smokers (Broekema et al., 2009).

In a 6-year longitudinal study in Japanese-American men, FEV1 was lowest in current smokers (2702 mL) and in former smokers (2817 mL) at baseline. These 2 groups experienced a steeper annual decline in FEV1 (-34.4 and -22.8 mL/year, respectively, adjusted by height and age at baseline) compared with never-smokers (-20.3 mL/year) (Burchfiel et al., 1995).

Diesel engine exhaust

In a study of 733 adult females who had lived in the Tokyo metropolitan area for more than 3 years, the higher the level of air pollution, the more significantly the FEV1 was reduced (Sekine et al., 2004).

In a study in 29 healthy subjects, exposure to DE inside diesel-powered trains for 3 days was associated with reduced lung function (Andersen et al., 2019).

In workers who tested diesel engines in an assembly unit of a manufacturing plant, FEV1, FEV1/FVC, FEV25-75 and MEF were significantly reduced compared to non-exposed workers (Zhang et al., 2017).

PM10

A Taiwanese study in 1016 children between 6 and 15 years of age reported that lifetime exposure to to 25–85 μg/m3 PM10 were associated with lower FEV1, FVC, and FEF25-75 (Tsui et al., 2018).

The Swiss Study on Air Pollution and Lung Diseases in Adults (SAPALDIA) found that an increase of 10 μg/m3 in annual mean concentration of PM10 was associated with 3.4% lower FVC and 1.6% lower FEV1 (Ackermann-Liebrich et al., 1997).

In the Health Survey for England, a 10 mg/m3 difference in PM10 across postcode sectors was associated with a lower FEV1 by 111 mL,  independent of active and passive smoking, social class, region and month of testing (Forbes et al., 2009). 

A 7 μg/m3 increase in five year means of PM10 (interquartile range) was associated with a 5.1% (95% CI: 2.5%–7.7%) decrease in FEV1, a 3.7% (95% CI: 1.8%–5.5%) decrease in FVC in the German SALIA study (Schikowski et al., 2005).

The ESCAPE project, a meta-analysis of 5 European cohorts/studies from 8 countries, reported that an increase of 10 μg/m3 in PM10 was associated with a lower level of FEV1 (−44.6 mL, 95% CI:−85.4– −3.8) and FVC (−59.0 mL, 95% CI: −112.3– −5.7) (Adam et al., 2015).

Domain of Applicability

Taxonomic Applicability
Term Scientific Term Evidence Links
human Homo sapiens High NCBI
Life Stage Applicability
Life Stage Evidence
Adult High
Sex Applicability
Sex Evidence
Mixed High

Pulmonary function tests reflect the physiological working of the lungs. Therefore, the AO is applicable to a variety of species, including (but not limited to) rodents, rabbits, pigs, cats, dogs, horses and humans, independent of life stage and gender.

Key Event Description

Lung function is a clinical term referring to the physiological functioning of the lungs, most often in association with the tests used to assess it. Lung function loss can be caused by acute or chronic exposure to airborne toxicants or by an intrinsic disease of the respiratory system. 

Although signs of cellular injury are typically exhibited first in the nose and larynx, alveolar-capillary barrier breakdown may ultimately arise and result in local edema (Miller and Chang, 2003). Clinically, bronchoconstriction and hypoxia are seen in the acute phase, with affected subjects exhibiting shortness of breath (dyspnea) and low blood oxygen saturation, and with reduced lung function indices of airflow, lung volume and gas exchange (Hert and Albert, 1994; and How it is Measured or Detected;). When alveolar damage is extensive, the reduced lung function can develop into acute respiratory distress syndrome (ARDS). This severe compromise of lung function is reflected by decreased gas exchange indices (PaO2/FIO2 ≤200 mmHg, due to hypoxemia and impaired excretion of carbon dioxide), increased pulmonary dead space and decreased respiratory compliance (Matthay et al., 2019). Acute inhalation exposures to chemical irritants such as ammonia, hydrogen chloride, nitrogen oxides and ozone typically cause local edema that manifests as dyspnea and hypoxia. In cases where a breakdown of the alveolar capillary function ensues, ARDS develops. ARDS has a particularly high risk of mortality, estimated to be 30-40% (Gorguner and Akgun, 2010; Matthay et al., 2018; Reilly et al., 2019).

Lung function decrease due to reduction in lung volume is seen in pulmonary fibrosis, which can be linked to chronic exposures to e.g. silica, asbestos, metals, agricultural and animal dusts (Meltzer and Noble, 2008; Cheresh et al., 2013; Cosgrove, 2015; Trethewey and Walters, 2018). Additionally. decreased lung function occurs in pleural disease, chest wall and neuromuscular disorders, because of obesity and following pneumectomy (Moore, 2012). Decreased lung function can also be a result of narrowing of the airways by inflammation and mucus plugging resulting in airflow limitation. Decreased lung function is a feature of obstructive pulmonary diseases (e.g. asthma, COPD) and linked to a multitude of causes, including chronic exposure to cigarette smoke, dust, metals, organic solvents, asbestos, pathogens or genetic factors.

 

How it is Measured or Detected

Pulmonary function tests are a group of tests that evaluate several parameters indicative of lung size, air flow and gas exchange. Decreased lung function can manifest in different ways, and individual circumstances, including potential exposure scenarios, determine which test is used. The section outlines the tests used to evaluate lung function in humans (https://www.nhlbi.nih.gov/health-topics/pulmonary-function-tests, accessed 22 March 2021) and in experimental animals.

Lung function tests used to evaluate human lung function

The most common (“gold standard”) lung function test in human subjects is spirometry. Spirometry results are primarily used for diagnostic purposes, e.g. to discriminate between obstructive and restrictive lung diseases, and for determining the degree of lung function impairment. Specific criteria for spirometry tests have been outlined in the American Thoracic Society (ATS) and the European Respiratory Society (ERS) Task Force guidelines (Graham et al., 2019). These guidelines consist of detailed recommendations for the preparation and conduct of the test, instruction of the person tested, as well as indications and contraindications, and are complemented by additional guidance documents on how to interpret and report the test results (Pellegrino et al., 2005; Culver et al., 2017).

Spirometry measures several different parameters during forceful exhalation, including:

  • Forced expiratory volume in 1 s (FEV1), the maximum volume of air that can forcibly be exhaled during the first second following maximal inhalation
  • Forced vital capacity (FVC), the maximum volume of air that can forcibly be exhaled following maximal inhalation
  • Vital capacity (VC), the maximum volume of air that can be exhaled when exhaling as fast as possible
  • FEV1/FVC ratio
  • Peak expiratory flow (PEF), the maximal flow that can be exhaled when exhaling at a steady rate
  • Forced expiratory flow, also known as mid-expiratory flow; the rates at 25%, 50% and 75% FVC are given
  • Inspiratory vital capacity (IVC), the maximum volume of air that can be inhaled after a full expiration

A reduced FEV1, with normal or reduced VC, normal or reduced FVC, and a reduced FEV1/FVC ratio are indices of airflow limitation, i.e., airway obstruction as seen in COPD (Moore, 2012). In contrast, airway restriction is demonstrated by a reduction in FVC, normal or increased FEV1/FVC ratio, a normal spirometry trace and potentially a high PEF (Moore, 2012).

Lung capacity or lung volumes can be measured using one of three basic techniques: 1) plethysmography, 2) nitrogen washout, or 3) helium dilution. Plethysmography consists of a series of sequential measurements in a body plethysmograph, starting with the measurement of functional residual capacity (FRC), the volume of gas present in the lung at end-expiration during tidal breathing. Once the FRC is known, expiratory reserve volume (ERV; the volume of gas that can be maximally exhaled from the end-expiratory level during tidal breathing, i.e., the FRC), vital capacity (VC; the volume change at the mouth between the positions of full inspiration and complete expiration), and inspiratory capacity (IC; the maximum volume of air that can be inhaled from FRC) are determined, and total lung capacity (TLC; the volume of gas in the lungs after maximal inspiration, or the sum of all volume compartments) and residual volume (RV; the volume of gas remaining in the lung after maximal exhalation) are calculated (Weinstock and McCannon, 2017).

The other two techniques used to measure lung volumes—helium dilution and nitrogen washout—are based on the principle of conservation of mass: [initial gas concentration] x [initial volume of the system] = [final gas concentration] x [final volume of the system]. The nitrogen washout method is based on the fact that nitrogen is present in the air, at a relatively constant amount. The subject is given 100% oxygen to breathe, and the expired gas, which contains nitrogen in the lung at the beginning of the test, is collected. When no more nitrogen is noted in the expirate, the volume of air expired and the entire amount of nitrogen in that volume are measured, and the initial volume of the system (FRC) can be calculated. In the helium dilution method, a known volume and concentration of helium is inhaled by the subject. Helium, an inert gas that is not absorbed significantly from the lungs, is diluted in proportion to the lung volume to which it is added. The final concentration of helium is then measured and FRC calculated (Weinstock and McCannon, 2017).

Measurements of lung volumes in humans are technically more challenging than spirometry. However, they complement spirometry (which cannot determine lung volumes) and may be a preferred means of lung function assessment when subject compliance cannot be reasonably expected (e.g. in pediatric subjects) or where forced expiratory maneuvers are not possible (e.g. in patients with advanced pulmonary fibrosis). There are recommended standards for lung volume measurements and their interpretation in clinical practice, issued by the ATS/ERS Task Force (Wanger et al., 2005; Criée et al., 2011).

Finally, indices of gas exchange across the alveolar-capillary barrier are tested by diffusion capacity of carbon monoxide (DLCO) studies (also referred to as transfer capacity of carbon monoxide, TLCO). The principle of the test is the increased affinity of hemoglobin to preferentially bind carbon monoxide over oxygen (Weinstock and McCannon, 2017). Complementary to spirometry and lung volume measurements, DLCO provides information about the lung surface area available for gas diffusion. Therefore, it is sensitive to any structural changes affecting the alveoli, such as those accompanying emphysema, pulmonary fibrosis, pulmonary edema, and ARDS. Recommendations for the standardization of the test and its evaluation have been outlined by the ATS/ERS Task Force (Graham et al., 2017). An isolated reduction in DLCO with normal spirometry and in absence of anemia suggests an injury to the alveolar-capillary barrier, as for example seen in the presence of pulmonary emboli or in patients with pulmonary hypertension (Weinstock and McCannon, 2017; Lettieri et al., 2006; Seeger et al., 2013). Reduced DLCO together with airflow obstruction (i.e., reduced FEV1) indicates lung parenchymal damage and is commonly observed in smokers and in COPD patients (Matheson et al., 2007; Harvey et al., 2016), whereas reduced DLCO with airflow restriction is seen in patients with interstitial lung diseases (Dias et al., 2014; Kandhare et al., 2016).

Lung function tests used to evaluate experimental animal lung function

Because spirometry requires active participation and compliance of the subject, it is not commonly used in animal studies. However, specialized equipment such as the flexiVent system (SCIREQ®) are available for measuring FEV, FVC and PEF in anesthetized and tracheotomized small laboratory animals. Other techniques such as plethysmography or forced oscillation are increasingly preferred for lung function assessment in small laboratory animals (McGovern et al., 2013; Bates, 2017).

In small laboratory animals, plethysmography can be used to determine respiratory physiology parameters (minute volume, respiratory rate, time of pause and time of break), lung volume and airway resistance of conscious animals. Both whole body and head-out plethysmography can be applied, although there is a preference for the latter in the context of inhalation toxicity studies, because of its higher accuracy and reliability (OECD, 2018a; Hoymann, 2012).

Gas diffusion tests are not frequently performed in animals, because reproducible samplings of alveolar gas are difficult and technically challenging (Reinhard et al., 2002; Fallica et al., 2011). Modifications to the procedure employed in humans have, however, open possibilities to obtain a human-equivalent DLCO measure or the diffusion factor for carbon monoxide (DFCO)—a variable closely related to DLCO, which can inform on potential structural changes in the lungs that have an effect on gas exchange indices (Takezawa et al., 1980; Dalbey et al., 1987; Fallica et al., 2011; Limjunyawong et al., 2015).

 

Regulatory Significance of the AO

Established regulatory guideline studies for inhalation toxicity focus on evident clinical signs of systemic toxicity, including death, or organ-specific toxicity following acute and (sub)chronic exposure respectively. In toxicological and safety pharmacological studies with airborne test items targeting the airways or the lungs as a whole, lung function is a relevant endpoint for the characterization of potential adverse events (OECD, 2018a; Hoymann, 2012). Hence, the AO “decreased lung function” is relevant for regulatory decision-making in the context of (sub)chronic exposure (OECD, 2018b; OECD, 2018c).

Regulatory relevance of the AO “decreased lung function” is evident when looking at the increased risk of diseases in humans following inhalation exposure, and because of its links to other comorbidities and mortality.

To aid diagnosis and monitoring of fibrosis, current recommendations include both the recording of potential environmental and occupational exposures as well as an assessment of lung function (Baumgartner et al., 2000). The latter typically confirms decreased lung function as demonstrated by a loss of lung volume. As the disease progresses, dyspnea and lung function worsen, and the prognosis is directly linked to the decline in FVC (Meltzer and Noble, 2008).

Chronic exposure to cigarette smoke and other combustion-derived particles results in the development of COPD. COPD is diagnosed on the basis of spirometry results as laid out in the ATS/ERS Task Force documents on the standardization of lung function tests and their interpretation (Pellegrino et al., 2005; Culver et al., 2017, Graham et al., 2019). Rapid rates of decline in the lung function parameter FEV1 are linked to higher risk of exacerbations, increased hospitalization and early death (Wise et al., 2006; Celli, 2010). Reduced FEV1 also poses a risk for serious cardiovascular events and mortality associated with cardiovascular disease (Sin et al., 2005; Lee et al., 2015).

 

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Appendix 2

List of Key Event Relationships in the AOP