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Relationship: 2445

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

Mucus Viscosity, Increased leads to CBF, 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

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

Sex Applicability

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

Life Stage Applicability

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

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

Under physiological conditions, the viscosity of mucus has been shown to range from 1 to 100 Pa.s under low shear rate conditions and from 0.01 to 1 Pa.s under high shear rate conditions. Mucus viscoelastic properties, whether altered by airway dehydration or mucus hypersecretion, directly influence MCC. Toxicant exposures, such as to nicotine, as well as inflammation can also affect the physicochemical properties of mucus (Chen et al., 2014). Increased mucus viscosity in turn decreases CBF and slows transport of mucus on the mucociliary escalator. 

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 Supporting this KER

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help

Several studies have shown that there is an optimal range of viscoelastic mucus properties that facilitates efficient MCC and that changes in mucus viscosity beyond that optimal range impact CBF and alter MCC. Studies in humans, mice, hamsters, horses and frogs have shown that increased mucus viscosity correlates with a decrease in CBF (King, 1979; Gheber et al., 1998; Matsui et al., 1998; Andrade et al., 2005; González et al., 2016; Kikuchi et al., 2017; Birket et al., 2018). 

Biological Plausibility
Addresses the biological rationale for a connection between KEupstream and KEdownstream.  This field 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.   More help

Mucus viscoelastic properties, whether altered by airway dehydration or mucus hypersecretion, directly influence MCC. In fact, there is an inverse relationship between mucus viscosity and CBF and mucus transport/MCC, as demonstrated in several in vivo and ex vivo studies. A large proportion of these studies have employed (bio)polymers or other large organic molecules to mimic the mucus layer in the airways and the increase in its viscosity. In addition, some of these studies have shown that decreased mucus viscosity may also result in impairment of MCC. Therefore, a causal link is only tentatively supported. Because cilia function, ASL height, and mucus properties are intricately linked to each other as evidenced by cystic fibrosis studies, we consider the plausibility as moderate.

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

Studies interrogating the link between CBF and/or mucus viscosity and MCC found the optimal range of viscoelastic mucus properties to be between 10 and 30 cP and 11 to 25 dyn/cm2 (Chen and Dulfano, 1978; King, 1979; King, 2006; King et al., 1997). These studies also documented that both increases and decreases in mucus viscosity beyond that optimal range impact CBF and decrease and increases, respectively, MCC. A large proportion of these studies utilize (bio)polymers or other large organic molecules to mimic the mucus layer in the airways and increases in its viscosity. Therefore, there may be limitations to the translatability of these findings. 

There is at least one study showing that increased mucus viscosity not only slows CBF, but also alters cilia beat metachrony, with medium viscosities in the range of 30–1500 cP increasing metachronal wave velocities by up to 50% and changes in wave direction in cultured frog esophagus (Gheber et al., 1998; Stafanger et al., 1987). CBF also appears to be, at least in part, autoregulated by ciliated respiratory cells, which adjust cilia beating to differences in viscous load via a mechanosensory mechanism (Johnson et al., 1991).  

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

Response-response Relationship
Provides sources of data that define the response-response relationships between the KEs.  More help

Exposure of primary cultures of hamster oviductal ciliated cells to increased viscous loading reduced the CBF (Andrade et al., 2005).

The tracheal samples from mice were used to measure ciliary beat frequencies and beat amplitudes of ciliary motion in viscous culture media over the range of η= 0.9–303.8 mPa.s. The CBF decreased with increasing viscosity, up to about 32.0 mPa.s, while it was nearly constant above 32.0 mPa.s (Kikuchi et al., 2017).

When the viscosity of medium 199 was increased from 7.8 to 58 millipoises (by adding polyvinylpyrrolidone), CBF of bronchial epithelial cell explants was decreased by ca. 10% from the control value. Medium viscosity of 87 millipoises decreased CBF to 25% from the control value (Luk and Dulfano, 1983).

Treatment of primary bronchial epithelial cell monolayer cultures from G551D/F508del cystic fibrosis patients with 10 µM ivacaftor, a CFTR potentiator, at concentrations ≥ 100 nM for 24 hr and 10 µM forskolin decreased mucus viscosity (from 2600 cP to 600 cP) at the physiological frequency of 0.9 Hz and increased CBF (from ca. 3 Hz to ca. 5 Hz) (Birket et al., 2016).

Epithelial cell monolayers from explants of pediatric adenoid tissues were used to assess the impact of viscosity on CBF. A decrease in CBF was observed immediately after the viscosity of the medium was increased, with a greater decrease in CBF in cultures exposed to 20% dextran (González et al., 2016).  

Time-scale
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?). More help

Within the first 10 min, the CBF of human oviductal cells dropped ~35% within the range of 2–37 cP (2–15% dextran solutions), but no further decrease was observed at higher viscosities in the range of 37–200 cP (15–30% dextran solutions) (Andrade et al., 2005).

The CBF decreased with increasing viscosity, up to about 32.0 mPa.s, while it was nearly constant above 32.0 mPa.s. The beat frequencies were calculated from the averaged cycles of beat velocity, 14.8 ± 3.0 Hz and 9.0 ± 2.4 Hz (0% methylcellulose solution) and 32.0 mPa.s (0.3% methylcellulose solution), respectively (Kikuchi et al., 2017).

In epithelial cell monolayers from explants of pediatric adenoid tissues , a decrease in CBF was observed immediately after the viscosity of the medium was increased, with a greater decrease in CBF in cultures exposed to 20% dextran. When cultures, prior to viscosity change, were treated with TNFa, CBF decreased furthermore only in culture exposed to 10% dextran. This effect of TNFa occurs in the first 10 min of viscous load, then TNFa-treated cells seem to adjust the CBF to control values (González et al., 2016).

Known Feedforward/Feedback loops influencing this KER
Define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits. 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

References

List of the literature that was cited for this KER description. More help
  • Andrade, Y.N., Fernandes, J., Vázquez, E., Fernández-Fernández, J.M., Arniges, M., Sánchez, T.M., et al. (2005). TRPV4 channel is involved in the coupling of fluid viscosity changes to epithelial ciliary activity. J. Cell Biol. 168(6), 869-874.
  • Birket, S.E., Chu, K.K., Houser, G.H., Liu, L., Fernandez, C.M., Solomon, G.M., et al. (2016). Combination therapy with cystic fibrosis transmembrane conductance regulator modulators augment the airway functional microanatomy. Am. J. Physiol. Lung Cell. Mol. Physiol. 310(10), L928-L939.
  • Birket, S.E., Davis, J.M., Fernandez, C.M., Tuggle, K.L., Oden, A.M., Chu, K.K., et al. (2018). Development of an airway mucus defect in the cystic fibrosis rat. JCI Insight 3(1), e97199. 
  • Chen, E.Y., Sun, A., Chen, C.-S., Mintz, A.J., and Chin, W.-C. (2014). Nicotine alters mucin rheological properties. American Journal of Physiology-Lung Cellular and Molecular Physiology 307(2), L149-L157.
  • Chen, T., and Dulfano, M. (1978). Mucus viscoelasticity and mucociliary transport rate. The Journal of laboratory and clinical medicine 91(3), 423-431.
  • Gheber, L., Korngreen, A., and Priel, Z. (1998). Effect of viscosity on metachrony in mucus propelling cilia. Cell motility and the cytoskeleton 39(1), 9-20.
  • González, C., Droguett, K., Rios, M., Cohen, N.A., and Villalón, M. (2016). TNFα Affects Ciliary Beat Response to Increased Viscosity in Human Pediatric Airway Epithelium. Biomed. Res. Int. 2016, 3628501.
  • Johnson, N.T., Villalón, M., Royce, F.H., Hard, R., and Verdugo, P. (1991). Autoregulation of beat frequency in respiratory ciliated cells. The American review of respiratory disease 144, 1091-1094.
  • Kikuchi, K., Haga, T., Numayama-Tsuruta, K., Ueno, H., and Ishikawa, T. (2017). Effect of fluid viscosity on the cilia-generated flow on a mouse tracheal lumen. Ann. Biomed. Eng. 45(4), 1048-1057.
  • King, M. (1979). Interrelation between mechanical properties of mucus and mucociliary transport: effect of pharmacologic interventions. Biorheology 16(1-2), 57-68.
  • King, M. (2006). Physiology of mucus clearance. Paediatr. Respir. Rev. 7 Suppl 1, S212-214. doi: 10.1016/j.prrv.2006.04.199.
  • King, M., Dasgupta, B., Tomkiewicz, R.P., and Brown, N.E. (1997). Rheology of cystic fibrosis sputum after in vitro treatment with hypertonic saline alone and in combination with recombinant human deoxyribonuclease I. American journal of respiratory and critical care medicine 156(1), 173-177.
  • Luk, C.K., and Dulfano, M.J. (1983). Effect of pH, viscosity and ionic-strength changes on ciliary beating frequency of human bronchial explants. Clin Sci (Lond) 64(4), 449-451.
  • Matsui, H., Grubb, B.R., Tarran, R., Randell, S.H., Gatzy, J.T., Davis, C.W., et al. (1998). Evidence for periciliary liquid layer depletion, not abnormal ion composition, in the pathogenesis of cystic fibrosis airways disease. Cell 95(7), 1005-1015.
  • Stafanger, G., Bisgaard, H., Pedersen, M., Mørkassel, E., and Koch, C. (1987). Effect of N-acetylcysteine on the human nasal ciliary activity in vitro. European journal of respiratory diseases 70(3), 157-162.