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Relationship: 965

Title

The title of the KER should clearly define the two KEs being considered and the sequential relationship between them (i.e., which is upstream and which is downstream). Consequently all KER titles take the form “upstream KE leads to downstream KE”.  More help

Activation, EGFR leads to Occurrence, Transdifferentiation of ciliated epithelial cells

Upstream event
Upstream event in the Key Event Relationship. On the KER page, clicking on the Event name under Upstream Relationship will bring the user to that individual KE page. More help
Downstream event
Downstream event in the Key Event Relationship. On the KER page, clicking on the Event name under Upstream Relationship will bring the user to that individual KE page. More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes. Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

This table is automatically generated upon addition of a KER to an AOP. All of the AOPs that are linked to this KER will automatically be listed in this subsection. Clicking on the name of the AOP in the table will bring you to the individual page for that AOP. More help

Taxonomic Applicability

Select one or more structured terms that help to define the biological applicability domain of the KER. In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER. Authors can indicate the relevant taxa for this KER in this subsection. The process is similar to what is described for KEs (see pages 30-31 and 37-38 of User Handbook) More help
Term Scientific Term Evidence Link
mouse Mus musculus Moderate NCBI
human Homo sapiens High NCBI
rat Rattus norvegicus Low NCBI

Sex Applicability

Authors can indicate the relevant sex for this KER in this subsection. The process is similar to what is described for KEs (see pages 31-32 of the User Handbook). More help
Sex Evidence
Mixed Moderate

Life Stage Applicability

Authors can indicate the relevant life stage for this KER in this subsection. The process is similar to what is described for KEs (see pages 31-32 of User Handbook). More help
Term Evidence
Adult Moderate

Key Event Relationship Description

Provide a brief, descriptive summation of the KER. While the title itself is fairly descriptive, this section can provide details that aren’t inherent in the description of the KEs themselves (see page 39 of the User Handbook). This description section can be viewed as providing the increased specificity in the nature of upstream perturbation (KEupstream) that leads to a particular downstream perturbation (KEdownstream), while allowing the KE descriptions to remain generalised so they can be linked to different AOPs. The description is also intended to provide a concise overview for readers who may want a brief summation, without needing to read through the detailed support for the relationship (covered below). Careful attention should be taken to avoid reference to other KEs that are not part of this KER, other KERs or other AOPs. This will ensure that the KER is modular and can be used by other AOPs. More help

Airway epithelial injury can be caused by various inhalation exposures (e.g. cigarette smoke, sulfur dioxide, endotoxin, viruses). Subsequent tissue repair processes are thought to initiate the transdifferentiation process, whereby ciliated epithelial cells first dedifferentiate and then redifferentiate to goblet cells, without an apparent increase in the total number of epithelial cells (Lumsden et al., 1984; Shimizu et al., 1996; Reader et al., 2003). EGFR was shown to be a key player in this process in both murine and human airway epithelia (Tyner et al., 2006; Hao et al., 2011; Habibovic et al., 2016).

Evidence Supporting this KER

Assembly and description of the scientific evidence supporting KERs in an AOP is an important step in the AOP development process that sets the stage for overall assessment of the AOP (see pages 49-56 of the User Handbook). To do this, biological plausibility, empirical support, and the current quantitative understanding of the KER are evaluated with regard to the predictive relationships/associations between defined pairs of KEs as a basis for considering WoE (page 55 of User Handbook). In addition, uncertainties and inconsistencies are considered. More help

Transdifferentiation was shown to occur following the activation of EGFR-mediated anti-apoptotic signaling in ciliated epithelial cells (Tyner et al., 2006). Subsequent stimulation by proinflammatory stimuli such as the Th2 cytokines interleukin (IL)-4 and IL-13 then promotes transdifferentiation of ciliated cells into goblet cells, thereby increasing the number of goblet cells (“second hit hypothesis”) in mouse tracheal epithelium and airway epithelia of COPD patients (Curran & Cohn, 2010).

EGFR can be activated by ROS or IL-13 to lead to ciliated cell transdifferentiation. IL-13 stimulates transdifferentiation of ciliated epithelial cells to goblet cells through EGFR activation increasing MMP/ADAM activity and MAPK activation (Casalino-Matsuda et al., 2006; Yoshisue and Hasegawa, 2004; Tyner et al., 2006).

Biological Plausibility
Define, in free text, the biological rationale for a connection between KEupstream and KEdownstream. What are the structural or functional relationships between the KEs? For example, there is a functional relationship between an enzyme’s activity and the product of a reaction it catalyses. Supporting references should be included. However, it is recognised that there may be cases where the biological relationship between two KEs is very well established, to the extent that it is widely accepted and consistently supported by so much literature that it is unnecessary and impractical to cite the relevant primary literature. Citation of review articles or other secondary sources, like text books, may be reasonable in such cases. The primary intent is to provide scientifically credible support for the structural and/or functional relationship between the pair of KEs if one is known. The description of biological plausibility can also incorporate additional mechanistic details that help inform the relationship between KEs, this is useful when it is not practical/pragmatic to represent these details as separate KEs due to the difficulty or relative infrequency with which it is likely to be measured (see page 40 of the User Handbook for further information).   More help

Two studies showed EGFR involvement in a decrease in goblet cell and increase in ciliated cell numbers or cell-specific marker expression (Yoshisue and Hasegawa, 2004; Casalino-Matsuda et al., 2006). Other studies demonstrated ciliated cell transdifferentiation in response to IL13 in an EGFR-dependent manner in a mouse viral infection model and mouse tracheal epithelial cells in vitro (Tyner et al., 2006), rat nasal epithelial cells (Lee et al., 2000), and human airway epithelial cells (Kim et al., 2002; Hao et al., 2011).

Uncertainties and Inconsistencies
In addition to outlining the evidence supporting a particular linkage, it is also important to identify inconsistencies or uncertainties in the relationship. Additionally, while there are expected patterns of concordance that support a causal linkage between the KEs in the pair, it is also helpful to identify experimental details that may explain apparent deviations from the expected patterns of concordance. Identification of uncertainties and inconsistencies contribute to evaluation of the overall WoE supporting the AOPs that contain a given KER and to the identification of research gaps that warrant investigation (seep pages 41-42 of the User Handbook).Given that AOPs are intended to support regulatory applications, AOP developers should focus on those inconsistencies or gaps that would have a direct bearing or impact on the confidence in the KER and its use as a basis for inference or extrapolation in a regulatory setting. Uncertainties that may be of academic interest but would have little impact on regulatory application don’t need to be described. In general, this section details evidence that may raise questions regarding the overall validity and predictive utility of the KER (including consideration of both biological plausibility and empirical support). It also contributes along with several other elements to the overall evaluation of the WoE for the KER (see Section 4 of the User Handbook).  More help

It is not well-known how ciliated cell transdifferentiation occurs in humans. Under normal conditions, lung epithelial cells (except basal cells) are terminally differentiated (Donnelly et al., 1982; Breuer et al., 1990; Rawlins and Hogan, 2008), and which signals initiate the dedifferentiation/redifferentiation process is not well-understood. The available evidence is indirect or correlative. It also is not in agreement with other studies, which showed that ciliated cells do not give rise to goblet cells during airway remodeling in rodents and humans and with studies that provide evidence for increased goblet cell proliferation and goblet cell hyperplasia (Pardo-Sargenta et al., 2013; Hays et al., 2006; Lawson et al., 2002; Tesfaigzi et al., 2004; Taniguchi et al., 2011; Park et al., 2006; Turner et al., 2011).

Response-response Relationship
This subsection should be used to define sources of data that define the response-response relationships between the KEs. In particular, information regarding the general form of the relationship (e.g., linear, exponential, sigmoidal, threshold, etc.) should be captured if possible. If there are specific mathematical functions or computational models relevant to the KER in question that have been defined, those should also be cited and/or described where possible, along with information concerning the approximate range of certainty with which the state of the KEdownstream can be predicted based on the measured state of the KEupstream (i.e., can it be predicted within a factor of two, or within three orders of magnitude?). For example, a regression equation may reasonably describe the response-response relationship between the two KERs, but that relationship may have only been validated/tested in a single species under steady state exposure conditions. Those types of details would be useful to capture.  More help

Daily 30-minute treatment of primary human bronchial epithelial cells at the air-liquid interface with 0.6 mM xanthine and 0.5 units xanthine oxidase for 3 days resulted in goblet cell metaplasia as evidenced by an increase in the numbers of MUC5AC-positive cells from 3.3 ± 1.2%to 21.6 ± 3.4% and a decrease in ciliated cell numbers. This effect could be inhibited by EGFR blockade with neutralizing antibodies (Casalino-Matsuda et al., 2006).

Cigarette smoke exposure at 8 cigarettes per day for 5 days markedly increased AB-PAS staining in airway epithelia and goblet cell numbers from 40 ± 19 to 167 ± 19 cells/mm of epithelium, while decreasing the number of ciliated cells (not quantified). Treatment with the EGFR inhibitor BIBX1522 during exposure dose-dependently decreased goblet cell numbers, with a maximal decrease seen for 3 mg/kg inhibitor (51 ± 19 cells/mm epithelium) (Takeyama et al., 2001).

Induction of airway inflammation with 50 µg house dust mite (1.27 endotoxin units/mg) for 5 days/week for 3 weeks resulted in a 3-fold increase of pEGFR-positive cells in the bronchiolar epithelium of C57Bl/6 mice. Six-week treatment led to goblet cell metaplasia as evidenced by extensive AB staining and an approx. 10-fold increase in Clca3-positive cells in the animals' airways. Concomitant treatment with 100 mg/kg erlotinib six times a week for 6 weeks reduced the number of Clca3-positive cells by ca. 5-fold (Le Cras et al., 2011). Using the same model with a 3-week treatment demonstrated goblet cell metaplasia as judged by increased PAS staining in the airway epithelium and ca. 10-, 5-, and 4-fold increases in expression of goblet cell metaplasia-related genes Muc5ac, Clca1, and Postn, respectively (Habibovic et al., 2016).

Pyocyanin, a redox-active exotoxin of Pseudomonas aeruginosa, caused goblet cell metaplasia in C57Bl/6 mice after 3-week treatment (25 µg/day). PAS staining increased by ca. 30%; the percentage of Muc5ab-positive cell in bronchial epithelium increased 6.4-fold and in bronchiolar epithelium 11.4-fold. This was accompanied by increased EGFR phosphorylation coincident with AB/PAS staining. Moreover, 24-h pyocyanin treatment of H292 lung cancer cells and immortlaized human bronchial epithelial 16-HBE cells with physiologically relevant concentrations from 1.3 to 25 µg/mL pyocyanin significantly increased MUC5B mRNA expression 3.8- to 13.4-fold and increased levels of pEGFR 11.8- to 18.3-fold (1.6 to 12.5 µg/mL pyocyanin) (Hao et al., 2012).

Time-scale
This sub-section should be used to provide information regarding the approximate time-scale of the changes in KEdownstream relative to changes in KEupstream (i.e., do effects on KEdownstream lag those on KEupstream by seconds, minutes, hours, or days?). This can be useful information both in terms of modelling the KER, as well as for analyzing the critical or dominant paths through an AOP network (e.g., identification of an AO that could kill an organism in a matter of hours will generally be of higher priority than other potential AOs that take weeks or months to develop). Identification of time-scale can also aid the assessment of temporal concordance. For example, for a KER that operates on a time-scale of days, measurement of both KEs after just hours of exposure in a short-term experiment could lead to incorrect conclusions regarding dose-response or temporal concordance if the time-scale of the upstream to downstream transition was not considered. More help

Induction of airway inflammation with 50 µg house dust mite (1.27 endotoxin units/mg) for 5 days/week for 3 weeks resulted in a 3-fold increase of pEGFR-positive cells in the bronchiolar epithelium of C57Bl/6 mice. Six-week treatment led to goblet cell metaplasia as evidenced by extensive AB staining and an approx. 10-fold increase in Clca3-positive cells in the animals' airways. Concomitant treatment with 100 mg/kg erlotinib six times a week for 6 weeks reduced the number of Clca3-positive cells by ca. 5-fold (Le Cras et al., 2011). Using the same model with a 3-week treatment demonstrated goblet cell metaplasia as judged by increased PAS staining in the airway epithelium and ca. 10-, 5-, and 4-fold increases in expression of goblet cell metaplasia-related genes Muc5ac, Clca1, and Postn, respectively (Habibovic et al., 2016).

Instillation of agarose plugs (0.7-0.8 mm diameter, 4% agarose II) in Fischer rats caused a time-dependent increase in goblet cell area (by AB/PAS staining), which was detectable as early as 24 h and was greatest 72 h post-instillation. The AB/PAS-stained area increased from 0.1 ± 0.1% in control animals to 4.7 ± 1.4, 13.3 ± 0.7, and to 19.1 ± 0.7% at 24, 48, and 72 h post-instillation, respectively. Goblet cell numbers increased from 0 to 13.1 ± 5.6, 25.7 ± 15.0, and 51.5 ± 9.0 cells/mm basal lamina at 24, 48, and 72 h post-instillation, respectively. Treatment of the animals prior and after instillation with 80 mg/kg/day BIBX1522 resulted in a marked decrease in the AB/PAS-stained area (<5% at 72 h). Of note, the AB/PAS staining in the airway epithelia coincided with EGFR staining  (Lee et al., 2000).

Known modulating factors
This sub-section presents information regarding modulating factors/variables known to alter the shape of the response-response function that describes the quantitative relationship between the two KEs (for example, an iodine deficient diet causes a significant increase in the slope of the relationship; a particular genotype doubles the sensitivity of KEdownstream to changes in KEupstream). Information on these known modulating factors should be listed in this subsection, along with relevant information regarding the manner in which the modulating factor can be expected to alter the relationship (if known). Note, this section should focus on those modulating factors for which solid evidence supported by relevant data and literature is available. It should NOT list all possible/plausible modulating factors. In this regard, it is useful to bear in mind that many risk assessments conducted through conventional apical guideline testing-based approaches generally consider few if any modulating factors. More help

Unknown

Known Feedforward/Feedback loops influencing this KER
This subsection should define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits? In some cases where feedback processes are measurable and causally linked to the outcome, they should be represented as KEs. However, in most cases these features are expected to predominantly influence the shape of the response-response, time-course, behaviours between selected KEs. For example, if a feedback loop acts as compensatory mechanism that aims to restore homeostasis following initial perturbation of a KE, the feedback loop will directly shape the response-response relationship between the KERs. Given interest in formally identifying these positive or negative feedback, it is recommended that a graphical annotation (page 44) indicating a positive or negative feedback loop is involved in a particular upstream to downstream KE transition (KER) be added to the graphical representation, and that details be provided in this subsection of the KER description (see pages 44-45 of the User Handbook).  More help

Unknown

Domain of Applicability

As for the KEs, there is also a free-text section of the KER description that the developer can use to explain his/her rationale for the structured terms selected with regard to taxonomic, life stage, or sex applicability, or provide a more generalizable or nuanced description of the applicability domain than may be feasible using standardized terms. More help

Two mouse studies demonstrated ciliated cell transdifferentiation and goblet metaplasia in response to virus and/or IL13 (Tyner et al., 2006; Fujisawa et al., 2008). Indirect evidenc is also available from rat studies and studies on human cells and clinical samples.

References

List of the literature that was cited for this KER description using the appropriate format. Ideally, the list of references should conform, to the extent possible, with the OECD Style Guide (OECD, 2015). More help

Breuer, R., Zajicek, G., Christensen, T.G., Lucey, E.C., and Snider, G.L. (1990). Cell Kinetics of Normal Adult Hamster Bronchial Epithelium in the Steady State. Am. J. Respir. Cell Mol. Biol. 2, 51–58.

Casalino-Matsuda, S., Monzón, M., and Forteza, R. (2006). Epidermal Growth Factor Receptor Activation by Epidermal Growth Factor Mediates Oxidant-Induced Goblet Cell Metaplasia in Human Airway Epithelium. Am. J. Respir. Cell Mol. Biol. 34, 581–591.

Curran, D.R., and Cohn, L. (2010). Advances in mucous cell metaplasia: a plug for mucus as a therapeutic focus in chronic airway disease. Am. J. Respir. Cell Mol. Biol. 42, 268-275.

Donnelly, G.M., Haack, D.G., and Heird, C.S. (1982). Tracheal epithelium: cell kinetics and differentiation in normal rat tissue. Cell Tissue Kinet. 15, 119–130.

Fujisawa, T., Ide, K., Suda, T., Suzuki, K., Kuroishi, S., Chida, K., et al. (2008). Involvement of the p38 MAPK pathway in IL‐13‐induced mucous cell metaplasia in mouse tracheal epithelial cells. Respirology 13, 191-202.

Habibovic, A., Hristova, M., Heppner, D.E., Danyal, K., Ather, J.L., Janssen-Heininger, Y.M., Irvin, C.G., Poynter, M.E., Lundblad, L.K., and Dixon, A.E. (2016). DUOX1 mediates persistent epithelial EGFR activation, mucous cell metaplasia, and airway remodeling during allergic asthma. JCI Insight 1, e88811.

Hao, Y., Kuang, Z., Walling, B.E., Bhatia, S., Sivaguru, M., Chen, Y., Gaskins, H.R. and Lau, G.W. (2012). Pseudomonas aeruginosa pyocyanin causes airway goblet cell hyperplasia and metaplasia and mucus hypersecretion by inactivating the transcriptional factor FoxA2. Cell Microbiol. 14, 401-415.

Hays, S.R., and Fahy, J.V. (2006). Characterizing mucous cell remodeling in cystic fibrosis: relationship to neutrophils. Am. J. Respir. Crit. Care Med. 174, 1018-1024.

Kim, S., Shim, J., Burgerl, P., Ueki, I., Dao-Pick, T., Tam, D., and Nadel, J. (2002). IL-13-induced Clara cell secretory protein expression in airway epithelium: role of EGFR signaling pathway. Am. J. Physiol. Lung Cell. Mol. Physiol. 283, L67–L75.

Kim, J.H., Lee, S.Y., Bak, S.M., Suh, I.B., Lee, S.Y., Shin, C., Shim, J.J., In, K.H., Kang, K.H., and Yoo, S.H. (2004). Effects of matrix metalloproteinase inhibitor on LPS-induced goblet cell metaplasia. Am. J. Physiol. Lung Cell. Mol. Physiol. 287, L127-L133.

Lawson, G.W., Van Winkle, L.S., Toskala, E., Senior, R.M., Parks, W.C., and Plopper, C.G. (2002). Mouse strain modulates the role of the ciliated cell in acute tracheobronchial airway injury-distal airways. Am. J. Pathol. 160, 315–327.

Le Cras, T.D., Acciani, T.H., Mushaben, E.M., Kramer, E.L., Pastura, P.A., Hardie, W.D., Korfhagen, T.R., Sivaprasad, U., Ericksen, M., Gibson, A.M. and Holtzman, M.J., 2010. Epithelial EGF receptor signaling mediates airway hyperreactivity and remodeling in a mouse model of chronic asthma. Am. J. Physiol. Lung Cell. Mol. Physiol. 300, L414-L421.

Lee, H.-M., Takeyama, K., Dabbagh, K., Lausier, J.A., Ueki, I.F., and Nadel, J.A. (2000). Agarose plug instillation causes goblet cell metaplasia by activating EGF receptors in rat airways. Am. J. Physiol. Lung Cell. Mol. Physiol. 278, L185-L192.

Lumsden, A.B., McLean, A., and Lamb, D. (1984). Goblet and Clara cells of human distal airways: evidence for smoking induced changes in their numbers. Thorax 39, 844-849.

Pardo-Saganta, A., Law, B.M., Gonzalez-Celeiro, M., Vinarsky, V., and Rajagopal, J. (2013). Ciliated cells of pseudostratified airway epithelium do not become mucous cells after ovalbumin challenge. Am. J. Respir. Cell Mol. Biol. 48, 364–373.

Park, K.-S., Wells, J.M., Zorn, A.M., Wert, S.E., Laubach, V.E., Fernandez, L.G., and Whitsett, J.A. (2006). Transdifferentiation of ciliated cells during repair of the respiratory epithelium. Am. J. Respir. Cell Mol. Biol. 34, 151–157.

Rawlins, E.L., and Hogan, B.L.M. (2008). Ciliated epithelial cell lifespan in the mouse trachea and lung. Am. J. Physiol. Lung Cell. Mol. Physiol. 295, L231–L234.

Reader, J.R., Tepper, J.S., Schelegle, E.S., Aldrich, M.C., Putney, L.F., Pfeiffer, J.W., and Hyde, D.M. (2003). Pathogenesis of mucous cell metaplasia in a murine asthma model. Am. J. Pathol. 162, 2069-2078.

Shim, J.J., Dabbagh, K., Ueki, I.F., Dao-Pick, T., Burgel, P.R., Takeyama, K., Tam, D.C., and Nadel, J.A. (2001). IL-13 induces mucin production by stimulating epidermal growth factor receptors and by activating neutrophils. Am. J. Physiol. Lung Cell. Mol. Physiol. 280, L134–L140.

Shimizu, T., Takahashi, Y., Kawaguchi, S., and Sakakura, Y. (1996). Hypertrophic and metaplastic changes of goblet cells in rat nasal epithelium induced by endotoxin. Am. J. Respir. Crit. Care Med. 153, 1412-1418.

Taniguchi, K., Yamamoto, S., Aoki, S., Toda, S., Izuhara, K., and Hamasaki, Y. (2011). Epigen is induced during the interleukin-13–stimulated cell proliferation in murine primary airway epithelial cells. Exp. Lung Res. 37, 461-470.

Tesfaigzi, Y., Harris, J.F., Hotchkiss, J.A., and Harkema, J.R. (2004). DNA synthesis and Bcl-2 expression during development of mucous cell metaplasia in airway epithelium of rats exposed to LPS. Am. J. Physiol. Lung Cell. Mol. Physiol. 286, L268-L274.

Turner, J., Roger, J., Fitau, J., Combe, D., Giddings, J., Heeke, G.V., and Jones, C.E. (2011). Goblet cells are derived from a FOXJ1-expressing progenitor in a human airway epithelium. Am. J. Respir. Cell Mol. Biol. 44, 276–284.

Tyner, J., Tyner, E., Ide, K., Pelletier, M., Roswit, W., Morton, J., Battaile, J., Patel, A., Patterson, G., Castro, M., et al. (2006). Blocking airway mucous cell metaplasia by inhibiting EGFR antiapoptosis and IL-13 transdifferentiation signals. J. Clin. Invest. 116, 309–321.

Yoshisue, H., and Hasegawa, K. (2004). Effect of MMP/ADAM inhibitors on goblet cell hyperplasia in cultured human bronchial epithelial cells. Biosci. Biotechnol. Biochem. 68, 2024–2031.