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Relationship: 2440

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

CFTR Function, Decreased leads to ASL Height, Decreased

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
Oxidative stress Leading to Decreased Lung Function via CFTR dysfunction adjacent High Moderate Arthur Author (send email) Open for comment. Do not cite

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 High NCBI

Sex Applicability

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

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
All life stages High

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

Serous and glandular secretions of the airway epithelium contribute to the ASL, and epithelial ion channel (e.g. CFTR, ENaC, CaCC, BK) function is critical to normal ASL homeostasis. Should the PCL decrease in depth, liquid will be absorbed from the mucus layer until the necessary depth is restored. Conversely, the mucus layer will absorb surplus PCL to reduce any increase in its depth. The regulation of these reabsorption processes is complex and not fully elucidated (Boucher, 2004). Experimental evidence suggests that the balance between Na+ absorption and Cl secretion mediated by ENaC and CFTR plays a major role, with the ion channels affecting each other’s activity (increased CFTR activity leads to decreased ENaC activity and vice versa) (Boucher, 2003; Boucher, 2004; Schmid et al., 2011). Mechanistic studies with selective CFTR and ENaC inhibitors suggest that the sensors for regulating ASL height lie within the ASL itself (Boucher, 2003; Hobbs et al., 2013). Additionally, ATP, adenosine and other purinergic receptor agonists, adenylate cyclase and cyclic adenosine monophosphate (cAMP)-dependent protein kinases acting on CFTR and/or ENaC ensure that the ASL height is adjusted to the appropriate height, resulting in maintenance of PCL depth at approximately the length of cilia (Antunes and Cohen, 2007). If the CFTR-ENaC interaction is perturbed, the airways become “dehydrated” (i.e., the ASL height decreases), resulting in slowing or inhibition of cilia movement and impaired MCC (Munkholm and Mortensen, 2014).  

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

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

The process of reabsorption of excess liquid to regulate ASL height is also known as “isosmotic volume hypothesis” or “isotonic volume transport/mucus clearance hypothesis” and implies that CFTR assumes a critical role in regulating ASL height by inhibiting ENaC activity (Ganesan et al., 2013; Matsui et al., 1998). However, an alternative, opposing hypothesis exists, the “hypotonic hypothesis” which states “that normal airway epithelia are covered by an ASL with a [NaCl] sufficiently low (≤ 50 mM NaCl) to activate defensins and create an antimicrobial “shield” on airway surfaces”, and there is evidence to both support and refute it (Cowley et al., 1997; Goldman et al., 1997; Jayaraman et al., 2001; Knowles et al., 1997; Landry and Eidelman, 2001; Matsui et al., 1998; Tarran et al., 2001a; Tarran et al., 2001b; Verkman et al., 2003). Other studies suggest the involvement of additional ion channels such as alternative chloride channels (Grasemann et al., 2007) and cyclic nucleotide-gated cation channels, particularly in the alveolar epithelium (Schwiebert et al., 1997; Wilkinson et al., 2011) in the regulation of ASL height. In addition, one study showing that instillation of Pseudomonas aeruginosa-laden agarose beads into excised swine tracheas significantly increased ASL height, and that this increase could be blocked by pre-incubation with the CFTR inhibitor CFTRinh172 (100 μM, 30 minutes) (Luan et al., 2014) presents an inconsistency with the available evidence presented here.

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

Unknown

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

Phylogenetic analysis of CFTR DNA sequences across multiple species suggests a close evolutionary relationship between human and primate CFTR, followed by rabbit, guinea pig, equine, ovine, and bovine CFTR, whereas rodent CFTR DNA largely diverges from the human DNA (Chen et al., 2001). Of note, CFTR ion permeability differs from species to species (Higgins, 1992). For example, murine CFTR displays reduced channel activity compared with its human counterpart, while ovine CFTR exhibits higher ATP sensitivity, greater single-channel conductance and larger open probability than human CFTR. Moreover, sensitivity to pharmacological agents able to potentiate or block CFTR gating varies greatly from species to species (Bose et al., 2015). Therefore, results from animal studies are not directly transferable to human.  

To date, ASL has been investigated in several species including mice, rats, guinea pigs, ferrets, cats, dogs, cows, monkeys, and humans. Although most studies provide data on its composition rather than its height, it is reasonable to assume that regulation of ASL height is equally critical to MCC across these species. 

CFTR dysfunction as a consequence of inherited CFTR gene defects is studied in pediatric as well as adult cystic fibrosis patients. Acquired CFTR dysfunction following inhalation exposures (e.g. to cigarette smoke) may also apply to both pediatric and adult populations, depending on the setting and type of exposure, and this also applies to decreased ASL height. 

To our knowledge, the role of gender has not been systematically evaluated in acquired CFTR dysfunction and its impact on ASL height. It is thought that the observed suppression of CFTR expression and impairment of CFTR function in cigarette smokers is a contributing factor to the pathogenesis of chronic obstructive pulmonary disease (COPD)(Dransfield et al., 2013; Raju et al., 2016). The main risk factor for COPD is cigarette smoking, and COPD is more common in men than in women, which may be directly related to the higher prevalence of smoking in men, although this gender gap is closing (Hitchman and Fong, 2011; Ntritsos et al., 2018; Syamlal et al., 2014). Nevertheless, the available clinical evidence in support of this AOP suggests that there is no remarkable gender difference.