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Relationship: 2273

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

Altered, Transcription of genes by AR leads to Reduced granulosa cell proliferation

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
Androgen receptor (AR) antagonism leading to decreased fertility in females adjacent Moderate Low 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 Do not cite Under Development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
human Homo sapiens Low NCBI
mouse Mus musculus High NCBI
rat Rattus norvegicus High NCBI
Pig Pig High NCBI
cow Bos taurus Moderate NCBI
Monkey Monkey Moderate NCBI

Sex Applicability

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

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
During development and at adulthood 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

Decreased transcription of genes that are downstream of AR activation leads to reduced granulosa cell proliferation of the early-stage gonadotropin-independent ovarian follicles. Therefore, the follicle growth to the antral stage is decreased.

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

Genomic and non-genomic effects are not distinguished in the studies included in the KER analysis. Hence, it cannot be concluded that all observations are solely due to directly perturbed transcription. However, since AR transcribes genes necessary for early folliculogenesis (KITLG, BMP15, HGF), it is reasonable to assume that genomic mechanisms are involved.

Other uncertainties to consider: different anti-androgenic compounds have different effects on the AR (e.g. different IC50, Cmax); compounds that are anti-androgenic may also affect other mechanisms/modalities; downstream effects of perturbed AR transcriptional function might depend on the duration of exposure as well as the developmental stage of the follicles. In humans, effects can be inconclusive since a part of the population can have androgen-related conditions such as polycystic ovary syndrome (PCOS)(Gleicher et al., 2011).

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

The E3 ubiquitin ligase protein Ring Finger Protein 6 (RNF6) regulates AR levels in granulosa cells through polyubiquitination and AR transcriptional activity for KITLG expression in small antral follicles(Lim et al., 2017b, 2017a).

Epidermal growth factor receptor (EGFR) may mediate the androgen-induced granulosa cell proliferation(Franks and Hardy, 2018).

Sixteen different mutations of the AR gene (Xq11.2-q12) that cause androgen insensitivity syndrome have been identified(Jiang et al., 2020).

The number of CAG repeats on the N-terminal domain of the AR has been associated with effects on fertility and ovarian reserve(Hickey et al., 2002; Lledo et al., 2014).

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