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Relationship: 2858

Title

A descriptive phrase which clearly defines the two KEs being considered and the sequential relationship between them (i.e., which is upstream, and which is downstream). More help

Increase, goblet cell number leads to Increase, Mucin production

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). 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

AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
EGFR Activation Leading to Decreased Lung Function adjacent High Moderate Cataia Ives (send email) Under development: Not open for comment. Do not cite Under Development

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) 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.  More help
Term Scientific Term Evidence Link
Homo sapiens Homo sapiens NCBI
Mus musculus Mus musculus NCBI
Rattus norvegicus Rattus norvegicus NCBI
Mustela furo Mustela putorius furo NCBI

Sex Applicability

An indication of the the relevant sex for this KER. More help
Sex Evidence
Unspecific

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
Not Otherwise Specified

Key Event Relationship Description

Provides a concise overview of the information given below as well as addressing details that aren’t inherent in the description of the KEs themselves. More help

An increase in goblet cell numbers arises from proliferation of this particular cell population (goblet cell hyperplasia) and/or from transdifferentiation of other specialized cell types, such as ciliated cells and club cells, into goblet cells (goblet cell metaplasia; Reader et al, 2003; Evans et al., 2004; Tesfaigzi, 2006). Goblet cell hyperplasia (GCH) is a common feature of airway epithelia in asthma and other respiratory diseases and can arise from airway injury following exposure to, for example, allergens, pathogens, or cigarette smoke (Miyabara et al., 1998; Nagao et al., 2003; Saetta et al., 2000; Walter et al., 2002; Hao et al., 2012, 2013, 2014; Lukacs et al., 2010; Yageta et al., 2014; Hegab et al., 2007; Silva and Bercik, 2012; Kim et al., 2016). Goblet cell metaplasia (GCM) is a key feature of remodeled airways observed in both asthma and chronic obstructive pulmonary disease (COPD; Kato et al., 2020; Kuchibhotla and Heijink, 2020; Nie et al., 2012). Since goblet cells are mucin-producing cells, an increase in goblet cell numbers will consequently lead to an increase (from basal levels) in mucin production, in fact methods for goblet cell detection and quantification include measurement of mucin levels with specific antibodies or staining of mucous glycoconjugates (Alcian Blue/periodic acid Schiff (AB/PAS) stain). Correlation and co-incidence between increase in goblet cell numbers and increased mucin production is shown in multiple studies.  

Evidence Collection Strategy

Include a description of the approach for identification and assembly of the evidence base for the KER. For evidence identification, include, for example, a description of the sources and dates of information consulted including expert knowledge, databases searched and associated search terms/strings.  Include also a description of study screening criteria and methodology, study quality assessment considerations, the data extraction strategy and links to any repositories/databases of relevant references.Tabular summaries and links to relevant supporting documentation are encouraged, wherever possible. More help

The relevant research articles supporting this KER were identified using keywords: “goblet“ AND “mucin” or “mucus” or “MUC5AC”. Referenced articles within retrieved studies and reviews were also consulted. Not all retrieved articles were included as a support for this KER since they generally repeat the same conclusions listed in the evidence texts below. 

Evidence Map 2.0

ID Experimental Design Species Upstream Observation Downstream Observation Citation (first author, year) Notes

Evidence Map

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help
Title First Author
Biological Plausibility
Dose Concordance
Temporal Concordance
Incidence Concordance
Biological Plausibility
Dose Concordance Evidence
Temporal Concordance Evidence
Incidence Concordance Evidence
Uncertainties and Inconsistencies
Addresses inconsistencies or uncertainties in the relationship including the identification of experimental details that may explain apparent deviations from the expected patterns of concordance. More help

MUC5B, mainly present in submucosal glands, is the other main mucin found in human airways (Rose and Voynow, 2002). MUC5AC and MUC5B often both increase with goblet cell numbers increase in patients with respiratory diseases (Burgel et al., 200). However, depending on the causative agent, dominant MUC5B immunophenotypes are observed with no induction in MUC5AC (Silva and Bercik, 2012). Sprague-Dawley rats receiving one intratracheal dose of LPS developed GCH in their terminal bronchioles that was not MUC5AC and PAS-positive. An analysis in human bronchus epithelial cells confirmed that when challenged with supernatant from LPS-stimulated macrophages, goblet cells induced MUC5B levels but MUC5AC was inhibited. 

Known modulating factors

This table captures specific information on the MF, its properties, how it affects the KER and respective references.1.) What is the modulating factor? Name the factor for which solid evidence exists that it influences this KER. Examples: age, sex, genotype, diet 2.) Details of this modulating factor. Specify which features of this MF are relevant for this KER. Examples: a specific age range or a specific biological age (defined by...); a specific gene mutation or variant, a specific nutrient (deficit or surplus); a sex-specific homone; a certain threshold value (e.g. serum levels of a chemical above...) 3.) Description of how this modulating factor affects this KER. Describe the provable modification of the KER (also quantitatively, if known). Examples: increase or decrease of the magnitude of effect (by a factor of...); change of the time-course of the effect (onset delay by...); alteration of the probability of the effect; increase or decrease of the sensitivity of the downstream effect (by a factor of...) 4.) Provision of supporting scientific evidence for an effect of this MF on this KER. Give a list of references.  More help

Domain of Applicability

A free-text section of the KER description that the developers can use to explain their rationale for the taxonomic, life stage, or sex applicability structured terms. More help

Increase in goblet cell numbers and concomitant increased mucin production developing after exposure to noxious agents, such as allergens, cigarette smoke, pollution, or pathogens has been described in human independently of sex and age. Experimental models exist in mice, rats, guinea pigs, rabbits, dogs, and ferrets.