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Relationship: 3473

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

Plasma estradiol/progesterone ratio, increase leads to Persistent vaginal cornification

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
Decreased, GnRH pulsatility/release leading to estradiol availability, increased via impaired ovulation adjacent Martina Panzarea (send email) Under development: Not 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 Do not cite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

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

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
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

The biological plausibility of the key event relationship is supported by aging rodent females. Reproductive senescence in rodents results from initial centrally mediated changes with alterations in hypothalamic function (Gore, 2000; Kermath, 2012). Female rats and mice proceed through sequential reproductive stages. Female rats undergo a transition from regular estrous cycles to irregular cycles (up to the age of 3- to 7-month-old), followed by persistent estrus (characterized by PVC), then repetitive pseudopregnancy (also called persistent diestrus) and finally anestrus (Finch, 2014; Shirai, 2015). However, there are species and strain differences in the pattern of changes and timing in the onset of reproductive senescence (Vidal, 2017). The tree different pathways of reproductive senescence are represented in Fig. 17 (Finch, 2014) and the pattern and the age at cycle cessation in different strains of rats and mice are available in Table 5 (Nelson, 1982). PE begins to be observed in Sprague-Dawley rats by 6 to 7 months of age (Vidal, 2017) or even earlier (Elridge, 1999). In contrast, Han Wistar rats are reported to have cycle irregularities after 6 months of age and move mainly into persistent diestrus (Mitchard and Klein 2016). 

Figure 17. Alternate trajectories of rodent reproductive senescence from (Finch, 2014)

Table 5. Incidence and vaginal cytological status of prolonged cycles in different strains of mouse and rat ranked by age (Nelson, 1982)

In aged rodents showing persistent vaginal cornification, the hormonal profile is characterized by sustained E2 and low P (Finch 2014). This hormonal change is explained by the histopathology of ovary showing numerous follicular cysts (producing estradiol) and lack of corpora lutea (producing progesterone).

The link between increased E2/P4 ratio and PVC has been demonstrated in different strains of both species. In a comparative study between Donryu and Fischer-344 rats, Nagaoka et al., sequentially followed estrous cycles by vaginal smear as well as E2 and P plasma levels, up to the age of 15 months. The E2/P4 ratio was higher in Donryu rats than in F-344 rats from 8 month of age and was about 7 times higher (p < 0.01) at 12-month. In Donryu rats persistent estrous (measured as PVC) appeared in 17% of the 5-month animals, the prevalence increased with age (90% of the 10-month animals while almost all F-344 rats showed a normal estrous cycle up to 8 months, and only a few cases showed persistent estrous thereafter). The authors concluded that the sustained increased E2/P4 ratio observed in Donryu rats may explained the high spontaneous occurrence of uterine endometrial adenocarcinoma in Donryu rats compared to F-344 rats (Nagaoka, 1994). The link between increased E2/P4 and PVC was also showed in aging Long Evans rats (Lu, 1979 and C578L/6J mice (Nelson, 1981) in which increased E2/P4 ratio was observed in PVC rats and mice compared to younger cycling animals.

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
  • Only two stressors have been investigated. The dose and temporal concordance should be further substantiated with other stressors.
  • E2 bioavailability in uterus was not measure directly in any of the studies reported: the empirical evidence of the KER relies on the indirect measurement of the downstream KE (i.e., the surrogate event PVC). It should be highlighted that Atrazine was negative in a uterotrophic bioassay performed in ovariectomized SD females which is not considered as an uncertainty but rather supports that atrazine does not exhibit a direct estrogenic activity. An intact HPG axis is necessary which is not the case in ovariectomized females.
  • Sex hormone measurements are rarely carried out in female rodents' studies, which limits the investigation of the empirical evidence of this KER.
  • Characteristics of reproductive aging in the female rats varies among strains (Chapin, 1996; Finch, 2014). This could explain the discrepancies of the results observed between SD and Fischer female rats exposed to atrazine.
  • The internal quality of the primary research study used to substantiate the empirical evidence has not been evaluated (recommendation).

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

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

Eldridge JC, Tennant MK, Wetzel LT, Breckenridge CB and Stevens JT, 1994. Factors affecting mammary tumor incidence in chlorotriazine-treated female rats: hormonal properties, dosage, and animal strain. Environ Health Perspect, 102 Suppl 11:29-36. doi: 10.1289/ehp.94102s1129

Eldridge JC, Wetzel LT and Tyrey L, 1999. Estrous cycle patterns of Sprague-Dawley rats during acute and chronic atrazine administration. Reprod Toxicol, 13:491-499. doi: 10.1016/s0890-6238(99)00056-8

Finch CE, 2014. The menopause and aging, a comparative perspective. J Steroid Biochem Mol Biol, 142:132-141. doi: 10.1016/j.jsbmb.2013.03.010

Gore AC, Oung T, Yung S, Flagg RA and Woller MJ, 2000. Neuroendocrine mechanisms for reproductive senescence in the female rat: gonadotropin-releasing hormone neurons. Endocrine, 13:315-323. doi: 10.1385/endo:13:3:315

Horvath JE, Toller GL, Schally AV, Bajo AM and Groot K, 2004. Effect of long-term treatment with low doses of the LHRH antagonist Cetrorelix on pituitary receptors for LHRH and gonadal axis in male and female rats. Proc Natl Acad Sci U S A, 101:4996-5001. doi: 10.1073/pnas.0400605101

Kermath BA and Gore AC, 2012. Neuroendocrine control of the transition to reproductive senescence: lessons learned from the female rodent model. Neuroendocrinology, 96:1-12. doi: 10.1159/000335994

Mitchard TL and Klein S, 2016. Reproductive senescence, fertility and reproductive tumour profile in ageing female Han Wistar rats. Exp Toxicol Pathol, 68:143-147. doi: 10.1016/j.etp.2015.11.006

Nagaoka T, Takeuchi M, Onodera H, Matsushima Y, Ando-Lu J and Maekawa A, 1994. Sequential observation of spontaneous endometrial adenocarcinoma development in Donryu rats. Toxicol Pathol, 22:261-269. doi: 10.1177/019262339402200304

Shirai N, Houle C and Mirsky ML, 2015. Using Histopathologic Evidence to Differentiate Reproductive Senescence from Xenobiotic Effects in Middle-aged Female Sprague-Dawley Rats. Toxicol Pathol, 43:1158-1161. doi: 10.1177/0192623315595137

Simpkins JW, Swenberg JA, Weiss N, Brusick D, Eldridge JC, Stevens JT, Handa RJ, Hovey RC, Plant TM, Pastoor TP and Breckenridge CB, 2011. Atrazine and breast cancer: a framework assessment of the toxicological and epidemiological evidence. Toxicol Sci, 123:441-459. doi: 10.1093/toxsci/kfr176

USEPA, online. Issues Pertaining to Atrazine Cancer Risk Assessment. Available online: https://archive.epa.gov/scipoly/sap/meetings/web/html/062700_mtg.html

USEPA, online. Atrazine. Draft human health risk assessment for registration review. In atrazine registration review. . Available online: https://www.govinfo.gov/content/pkg/FR-2018-07-26/pdf/2018-15998.pdf

Vidal JD, 2017. The Impact of Age on the Female Reproductive System. Toxicol Pathol, 45:206-215. doi: 10.1177/0192623316673754

Wetzel LT, Luempert LG, 3rd, Breckenridge CB, Tisdel MO, Stevens JT, Thakur AK, Extrom PJ and Eldridge JC, 1994. Chronic effects of atrazine on estrus and mammary tumor formation in female Sprague-Dawley and Fischer 344 rats. J Toxicol Environ Health, 43:169-182. doi: 10.1080/15287399409531913