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Relationship: 438

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

Reduction, Cholesterol transport in mitochondria leads to Reduction, Testosterone synthesis in Leydig cells

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Reduction, Cholesterol transport in mitochondria
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). More help
Reduction, Testosterone synthesis in Leydig cells

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
PPARα activation in utero leading to impaired fertility in males adjacent Moderate Arthur Author (send email) Open for citation & comment EAGMST Under Review
PPARα activation leading to impaired fertility in adult male rodents adjacent Moderate Evgeniia Kazymova (send email) Not under active development 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
mice Mus sp. Moderate NCBI
rat Rattus norvegicus High NCBI
human Homo sapiens Low NCBI

Sex Applicability

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

Life Stage Applicability

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

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

Production of steroid hormones depends on the availability of cholesterol in the mitochondrial matrix. A decreased amount of cholesterol inside the mitochondria (e. g by decreased expression of enzymes that transport cholesterol like StAR or TSOP) means diminished substrate for hormone (testosterone) production in testes.

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

Thompson et al investigated time course effects of phthalate on steroidogenesis gene expression and testosterone concentration. The study showed diminished concentration testosterone concentration in the foetal testis by 50% within 1h of treatment with phthalate (DBP). Surprisingly, the diminution in testosterone concentration preceded any alteration in expression of genes in the steroidogenesis pathway. Star mRNA was significantly diminished 2 h after DBP exposure, but Cyp11a1, Cyp17a1, and Scarb1 did not show a significant decrease in expression until 6 h after DBP exposure (Thompson et al., 2005). In utero exposure of rats to PFOA 20 mg/kg did not cause any effect on fetal testosterone (Boberg et.al. 2008) although in mice (adult) the decrease level of testosterone was observed. Testosterone production may also be diminished due to reduction/inhibition of other genes involved in steroidogenesis (e.g. P450scc, Cyp17a1) (Thompson et al., 2004), (Boberg et al., 2008), (Chauvigné et al., 2009), (Chauvigné 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

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

See Table 1.