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AOP: 534

Title

A descriptive phrase which references both the Molecular Initiating Event and Adverse Outcome.It should take the form “MIE leading to AO”. For example, “Aromatase inhibition leading to reproductive dysfunction” where Aromatase inhibition is the MIE and reproductive dysfunction the AO. In cases where the MIE is unknown or undefined, the earliest known KE in the chain (i.e., furthest upstream) should be used in lieu of the MIE and it should be made clear that the stated event is a KE and not the MIE.  More help

Activation of Protein kinase C leads to Kidney Failure

Short name
A name that succinctly summarises the information from the title. This name should not exceed 90 characters. More help
Activation of PKC leads to Kidney Failure
The current version of the Developer's Handbook will be automatically populated into the Handbook Version field when a new AOP page is created.Authors have the option to switch to a newer (but not older) Handbook version any time thereafter. More help
Handbook Version v2.6

Graphical Representation

A graphical representation of the AOP.This graphic should list all KEs in sequence, including the MIE (if known) and AO, and the pair-wise relationships (links or KERs) between those KEs. More help
Click to download graphical representation template Explore AOP in a Third Party Tool

Authors

The names and affiliations of the individual(s)/organisation(s) that created/developed the AOP. More help

Hannah Szalay

Point of Contact

The user responsible for managing the AOP entry in the AOP-KB and controlling write access to the page by defining the contributors as described in the next section.   More help
Arthur Author   (email point of contact)

Contributors

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  • Arthur Author

Coaches

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OECD Information Table

Provides users with information concerning how actively the AOP page is being developed and whether it is part of the OECD Workplan and has been reviewed and/or endorsed. OECD Project: Assigned upon acceptance onto OECD workplan. This project ID is managed and updated (if needed) by the OECD. OECD Status: For AOPs included on the OECD workplan, ‘OECD status’ tracks the level of review/endorsement of the AOP . This designation is managed and updated by the OECD. Journal-format Article: The OECD is developing co-operation with Scientific Journals for the review and publication of AOPs, via the signature of a Memorandum of Understanding. When the scientific review of an AOP is conducted by these Journals, the journal review panel will review the content of the Wiki. In addition, the Journal may ask the AOP authors to develop a separate manuscript (i.e. Journal Format Article) using a format determined by the Journal for Journal publication. In that case, the journal review panel will be required to review both the Wiki content and the Journal Format Article. The Journal will publish the AOP reviewed through the Journal Format Article. OECD iLibrary published version: OECD iLibrary is the online library of the OECD. The version of the AOP that is published there has been endorsed by the OECD. The purpose of publication on iLibrary is to provide a stable version over time, i.e. the version which has been reviewed and revised based on the outcome of the review. AOPs are viewed as living documents and may continue to evolve on the AOP-Wiki after their OECD endorsement and publication.   More help
OECD Project # OECD Status Reviewer's Reports Journal-format Article OECD iLibrary Published Version
This AOP was last modified on June 21, 2024 15:29

Revision dates for related pages

Page Revision Date/Time
Increased, Kidney Failure June 21, 2024 10:52
Decreased, Glomerular filtration June 21, 2024 15:24
Increased, afferent artery vasoconstriction June 21, 2024 10:34
Increased, Endothelin protein June 20, 2024 16:33
Activation, Protein Kinase C (PKC) June 21, 2024 12:03
Increased, AP-1 activity June 20, 2024 12:49
Increased, edn1 gene expression June 20, 2024 12:50
Activation, Protein kinase C (PKC) leads to Increased, AP-1 activity June 20, 2024 12:50
Increased, AP-1 activity leads to Increased, edn1 gene expression June 20, 2024 12:50
Increased, edn1 gene expression leads to Increased, Endothelin protein June 20, 2024 12:51
Increased, Endothelin protein leads to Increased, afferent artery vasoconstriction June 21, 2024 11:10
Increased, afferent artery vasoconstriction leads to Decreased, Glomerular filtration June 06, 2024 14:09
Decreased, Glomerular filtration leads to Increased, Kidney Failure June 06, 2024 14:08
12-O-Tetradecanoylphorbol-13-acetate June 20, 2024 12:53
Phorbol June 20, 2024 12:55
N-Acetylsphingosine June 20, 2024 16:24

Abstract

A concise and informative summation of the AOP under development that can stand-alone from the AOP page. The aim is to capture the highlights of the AOP and its potential scientific and regulatory relevance. More help

Kidney failure is of interest for human health risk assessment. Kidney failure is an important human health issue associated with numerous causes such as diabetes, high blood pressure, dehydration, smoking, and chemicals/pharmaceutical drugs. People suffering from chronic kidney disease (CKD) essentially undergo kidney failure. Once kidney function is lost it cannot return to normal function therefore there is a need to investigate the molecular mechanisms of kidney failure to prevent it from occurring. Between 1990 and 2016 there was an 88% increase in the incidence of kidney failure (Kuma, 2022). Considering the potential applications of the prototypical stressors of this AOP, it may be of regulatory interest for risk assessment decisions to know if they will or will not induce the AO of kidney failure. Kidney failure has major global impact on health and morbidity while also being an associated risk factor for cardiovascular disease, the leading cause of death globally (GBD Chronic Kidney Disease Collaboration, 2020).

The MIE outlined in this AOP is activation of protein kinase C (PKC), belonging to the family of protein kinase enzymes that is involved in numerous cellular/biological activities including gene expression, protein secretion, proliferation, and inflammatory responses (Gould, 2008). The MIE is induced through exposure to a number of different prototypical stressors namely phorbol esters, such as PMA, which are routinely used in biomedical settings. However, phorbol esters, along with other prototypical stressors have numerous other potentials uses due to insecticidal and biopesticide properties (Goel, 2007). Another example of a PKC activator includes Bryostain-1, which is currently undergoing clinical trials for its use as an anticancer therapy (Tran, 2024). The AO outlined is kidney failure characterized by improper/irregular function of the kidneys. This typically means the kidneys are no longer excreting waste from the body causing a build-up of toxic substances/chemicals/molecules etc. in the blood (National Cancer Institute, 2024). Kidney failure ultimately leads to death and is progressive typically first developing as CKD (Webster, 2017). Major KE’s of this AOP include increased edn1 gene expression which codes for endothelin, increased endothelin protein levels which is a well-established potent vasoconstrictor, increased afferent artery vasoconstriction, and decreased glomerular filtration.

 The overall WoE supporting the AOP is moderate. Most of the KER have high biological and moderate quantitative understanding, however all of the KER have low empirical evidence to support the key event relationships. Therefore, the overall weight of evidence given to the AOP is moderate because every KE and KER is very well established and biologically plausible however quantitative data is limited or nonexistent to provide WoE. Since there is limited empirical data for dose, time, and incidence concordance it is the largest knowledge gap existing for the AOP.

AOP Development Strategy

Context

Used to provide background information for AOP reviewers and users that is considered helpful in understanding the biology underlying the AOP and the motivation for its development.The background should NOT provide an overview of the AOP, its KEs or KERs, which are captured in more detail below. More help

Strategy

Provides a description of the approaches to the identification, screening and quality assessment of the data relevant to identification of the key events and key event relationships included in the AOP or AOP network.This information is important as a basis to support the objective/envisaged application of the AOP by the regulatory community and to facilitate the reuse of its components.  Suggested content includes a rationale for and description of the scope and focus of the data search and identification strategy/ies including the nature of preliminary scoping and/or expert input, the overall literature screening strategy and more focused literature surveys to identify additional information (including e.g., key search terms, databases and time period searched, any tools used). More help

Summary of the AOP

This section is for information that describes the overall AOP.The information described in section 1 is entered on the upper portion of an AOP page within the AOP-Wiki. This is where some background information may be provided, the structure of the AOP is described, and the KEs and KERs are listed. More help

Events:

Molecular Initiating Events (MIE)
An MIE is a specialised KE that represents the beginning (point of interaction between a prototypical stressor and the biological system) of an AOP. More help
Key Events (KE)
A measurable event within a specific biological level of organisation. More help
Adverse Outcomes (AO)
An AO is a specialized KE that represents the end (an adverse outcome of regulatory significance) of an AOP. More help
Type Event ID Title Short name
MIE 2240 Activation, Protein Kinase C (PKC) Activation, Protein kinase C (PKC)
KE 2241 Increased, AP-1 activity Increased, AP-1 activity
KE 2242 Increased, edn1 gene expression Increased, edn1 gene expression
KE 2237 Increased, Endothelin protein Increased, Endothelin protein
KE 2230 Increased, afferent artery vasoconstriction Increased, afferent artery vasoconstriction
KE 819 Decreased, Glomerular filtration Decreased, Glomerular filtration
AO 759 Increased, Kidney Failure Increased, Kidney Failure

Relationships Between Two Key Events (Including MIEs and AOs)

This table summarizes all of the KERs of the AOP and is populated in the AOP-Wiki as KERs are added to the AOP.Each table entry acts as a link to the individual KER description page. More help

Network View

This network graphic is automatically generated based on the information provided in the MIE(s), KEs, AO(s), KERs and Weight of Evidence (WoE) summary tables. The width of the edges representing the KERs is determined by its WoE confidence level, with thicker lines representing higher degrees of confidence. This network view also shows which KEs are shared with other AOPs. More help

Prototypical Stressors

A structured data field that can be used to identify one or more “prototypical” stressors that act through this AOP. Prototypical stressors are stressors for which responses at multiple key events have been well documented. More help

Life Stage Applicability

The life stage for which the AOP is known to be applicable. More help
Life stage Evidence
All life stages High

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) can be selected.In many cases, individual species identified in these structured fields will be those for which the strongest evidence used in constructing the AOP was available. More help
Term Scientific Term Evidence Link
Homo sapiens Homo sapiens High NCBI
Vertebrates Vertebrates High NCBI

Sex Applicability

The sex for which the AOP is known to be applicable. More help
Sex Evidence
Unspecific High

Overall Assessment of the AOP

Addressess the relevant biological domain of applicability (i.e., in terms of taxa, sex, life stage, etc.) and Weight of Evidence (WoE) for the overall AOP as a basis to consider appropriate regulatory application (e.g., priority setting, testing strategies or risk assessment). More help

The AOP of activation of protein kinase C leading to increased kidney failure is specific to vertebrates, and not life stage or sex specific. Overall WoE for the AOP is moderate. All KE are essential for the pathway. All of the KER in the pathway have high biological plausibility. Most of the KER have moderate quantitative understanding. Most of thr KER have low empirical evidence to support the relationships. So despite the minimal experimental evidence to. support the dose, time, and incidence concordance of the KER, the essentiality and biologically plausibility having high WoE establishs moderate confidence in the AOP. Experiments would need to be performed to prove the empircal evidence for the KER of the pathway in order to give the AOP a WoE of high. These experiments would include both time and dose concordance experiments along with incidence concordance experiments. 

Domain of Applicability

Addressess the relevant biological domain(s) of applicability in terms of sex, life-stage, taxa, and other aspects of biological context. More help

The AOP is not life stage or sex specific. The AOP is specific to most if not all vertebrates in theory, as all vertebrates have protein kinase C (PKC) as well as kidneys. The limiting key event would be the vasoconstriction of afferent arterioles since this is kidney specific and therefore limited specifically to vertebrates (KE related to PKC up to endothelin protein are not vertebrate specific). 

Life stage Applicability: The AOP is not life stage specific as kidney failure can occur at any age. PKC is present from development as it has an essential role in numerous cellular processes such as signla transduction, cell proliferation, differntiation, and apoptosis. 

Sex Applicability: The AOP is not sex specific as both sexes have kidneys and PKC. However, the pharmacokinetics and pharmacodynamics of chemicals and drugs potentially activating PKC can be sex dependent and may have an influence on their effects (Soldin, 2009). 

Taxon Applicability: All vertebrates have PKC as it is a fundamental/conserved enzyme involved in numerous cellular processes. All vertebrates have kidneys as well, therefore the domain of applicability for this AOP is theoretically all vertebrates. However, the exact mechanism may differ because of the different effects of PKC activators from species to species due to differences in drug metabolism, and other physiological responses. Therefore, the AOP is specific in theory to all vertebrates.

Essentiality of the Key Events

The essentiality of KEs can only be assessed relative to the impact of manipulation of a given KE (e.g., experimentally blocking or exacerbating the event) on the downstream sequence of KEs defined for the AOP. Consequently, evidence supporting essentiality is assembled on the AOP page, rather than on the independent KE pages that are meant to stand-alone as modular units without reference to other KEs in the sequence. The nature of experimental evidence that is relevant to assessing essentiality relates to the impact on downstream KEs and the AO if upstream KEs are prevented or modified. This includes: Direct evidence: directly measured experimental support that blocking or preventing a KE prevents or impacts downstream KEs in the pathway in the expected fashion. Indirect evidence: evidence that modulation or attenuation in the magnitude of impact on a specific KE (increased effect or decreased effect) is associated with corresponding changes (increases or decreases) in the magnitude or frequency of one or more downstream KEs. More help

Support for Essentiality of KEs

MIE

Activation of PKC

Essentiality of the MIE

KE1

Increased AP-1 Activity

Essentiality of KE1

KE2

Increased edn1 gene expression

Essentiality of KE2 is high.

KE3

Increased endothelin protein

Endothelin is a well-known vasoconstrictor, and one of the most potent renal vasoconstrictors. The kidney is also the most sensitive organ to endothelin-1.

Essentiality of KE3 is high.

By applying ETA and ETB blockers to rat juxtamedullary afferent arterioles, the downstream KE is attenuated or eliminated, therefore vasoconstriction of the afferent arterioles does not occur without endothelin-1 mediation (Guan, 2015). This proves essentiality since the downstream KE is inhibited by the blockage.

Proposed Essentiality Experiment:

Using a PKC knockout model, will attenuate the levels of endothelin produced therefore inhibiting downstream key events and the AO.

KE4

Increased afferent artery vasoconstriction

Essentiality of KE4

KE5

Decreased glomerular filtration

Essentiality of KE5

AO

Increased Kidney Failure

Evidence Assessment

Addressess the biological plausibility, empirical support, and quantitative understanding from each KER in an AOP. More help

KER

Summary of Bio. Plausibility Evidence

WoE Call

KER1

Activation of PKC leads to increased AP-1 activity

High

KER2

Increased AP-1 activity leads to increased edn1 gene expression

High

KER3

Increased edn1 gene expression leads to increased endothelin protein

High

KER4

Increased endothelin protein leads to increased afferent artery vasoconstriction

Endothelin, a potent vasoconstrictor primarily produced by endothelial cells, acts on vascular smooth muscle cells, particularly those in the afferent arterioles of the kidneys. These arterioles contain specific receptors where endothelin binds, leading to contraction of smooth muscle cells and subsequent vasoconstriction. This is a well-established biologically plausible KER.

High

KER5

Increased afferent artery vasoconstriction leads to decreased glomerular filtration

High

KER6

Decreased glomerular filtration leads to increased kidney failure

High

KER

Summary of Empirical Evidence

WoE Call

KER1

Activation of PKC leads to increased AP-1 activity

Low

KER2

Increased AP-1 activity leads to increased edn1 gene expression

Low

KER3

Increased edn1 gene expression leads to increased endothelin protein

Low

KER4

Increased endothelin protein leads to increased afferent artery vasoconstriction

Strong dose-dependence evidence exists for the KER however there is a lack of dose, time, and incidence concordance for this. KER. In order to acquire dose and time concordance varying doses of a PKC activator can be used in vitro or in vivo, and then measurements of endothelin protein and afferent artery vasoconstriction can be measured through ELISA and eGFR measurements respectively at different varying time points. This allows for time and dose concordance to be collected consecutively. An example of an in vitro model includes the blood-perfused juxtamedullary nephron, this would allow for both afferent artery diameter to be measured and levels of endothelin protein. For incidence concordance similar experiment would be performed at a singular dose where measurements of both endothelin protein levels and afferent arteriole diameter are measured. The results would expect to show that increase in endothelin protein levels occurs more frequently or the same amount as afferent artery vasoconstriction.

Low

KER5

Increased afferent artery vasoconstriction leads to decreased glomerular filtration

Moderate

KER6

Decreased glomerular filtration leads to increased kidney failure

Moderate

KER

Summary of Quantitative Understanding

WoE Call

KER1

Activation of PKC leads to increased AP-1 activity

Using a PKC activator such as PMA, showed an increase of AP-1 activity increased about 1.5 fold over the control in 2D cell culture (Yokoyama, 2013). 

Moderate

KER2

Increased AP-1 activity leads to increased edn1 gene expression

Moderate

KER3

Increased edn1 gene expression leads to increased endothelin protein

Moderate

KER4

Increased endothelin protein leads to increased afferent artery vasoconstriction

A dose range (1-10nM) was used in vitro to demonstrate the dose-dependent effects of endothelin on afferent arteriole diameter (vasoconstriction). At a higher concentration it was demonstrated that there is a significant 83% reduction in afferent arteriole diameter compared to the control.  

Moderate

KER5

Increased afferent artery vasoconstriction leads to decreased glomerular filtration

High

KER6

Decreased glomerular filtration leads to increased kidney failure

High

Known Modulating Factors

Modulating factors (MFs) may alter the shape of the response-response function that describes the quantitative relationship between two KES, thus having an impact on the progression of the pathway or the severity of the AO.The evidence supporting the influence of various modulating factors is assembled within the individual KERs. More help
Modulating Factor (MF) Influence or Outcome KER(s) involved
     

Quantitative Understanding

Optional field to provide quantitative weight of evidence descriptors.  More help

Considerations for Potential Applications of the AOP (optional)

Addressess potential applications of an AOP to support regulatory decision-making.This may include, for example, possible utility for test guideline development or refinement, development of integrated testing and assessment approaches, development of (Q)SARs / or chemical profilers to facilitate the grouping of chemicals for subsequent read-across, screening level hazard assessments or even risk assessment. More help

References

List of the literature that was cited for this AOP. More help

Colvin, M. M., Smith, C. A., Tullius, S. G., & Goldstein, D. R. (2017). Aging and the immune response to organ transplantation. The Journal of clinical investigation127(7), 2523–2529. https://doi.org/10.1172/JCI90601

Dooley, M. J., Poole, S. G., & Rischin, D. (2013). Dosing of cytotoxic chemotherapy: Impact of renal function estimates on dose. Annals of Oncology, 24(11), 2746–2752. https://doi.org/10.1093/annonc/mdt300

GBD Chronic Kidney Disease Collaboration (2020). Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet (London, England)395(10225), 709–733. https://doi.org/10.1016/S0140-6736(20)30045-3

 Goel, G., Makkar, H. P., Francis, G., & Becker, K. (2007). Phorbol esters: structure, biological activity, and toxicity in animals. International journal of toxicology26(4), 279–288. https://doi.org/10.1080/10915810701464641

Gould, C. M., & Newton, A. C. (2008). The life and death of protein kinase C. Current drug targets9(8), 614–625. https://doi.org/10.2174/138945008785132411

National Cancer Institute (2024). NCI Dictionary of Cancer terms. Comprehensive Cancer Information - NCI. https://www.cancer.gov/publications/dictionaries/cancer-terms/def/kidney-failure

Tran, U., & Billingsley, K. L. (2024). Biological evaluation of indolactams for in vitro bryostatin 1-like activity. Bioorganic & medicinal chemistry letters97, 129570. https://doi.org/10.1016/j.bmcl.2023.129570

Webster, A. C., Nagler, E. V., Morton, R. L., & Masson, P. (2017). Chronic Kidney Disease. Lancet (London, England)389(10075), 1238–1252. https://doi.org/10.1016/S0140-6736(16)32064-5

Yokoyama, K., Hiyama, A., Arai, F., Nukaga, T., Sakai, D., & Mochida, J. (2013). C-Fos regulation by the MAPK and PKC pathways in intervertebral disc cells. PloS one8(9), e73210. https://doi.org/10.1371/journal.pone.0073210