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Relationship: 1505
Title
TH synthesis, Decreased leads to GABAergic interneurons, Decreased
Upstream event
Downstream event
AOPs Referencing Relationship
| AOP Name | Adjacency | Weight of Evidence | Quantitative Understanding | Point of Contact | Author Status | OECD Status |
|---|---|---|---|---|---|---|
| Inhibition of Na+/I- symporter (NIS) leads to learning and memory impairment | non-adjacent | Low | Low | Arthur Author (send email) | Open for citation & comment | WPHA/WNT Endorsed |
Taxonomic Applicability
Sex Applicability
| Sex | Evidence |
|---|---|
| Male | |
| Unspecific | Moderate |
Life Stage Applicability
| Term | Evidence |
|---|---|
| During brain development | Moderate |
Thyroid hormone synthesis is responsible for physiological TH serum levels that subsequently correlate with TH brain concentrations. It has been shown that TH regulates function of different neuronal subtypes, including GABAergic neurons. TH increases glutamic acid decarboxylase (GAD) activity (responsible for GABA-synthesis) in neonatal brain, and GABA transaminase (responsible for GABA degradation) activity (Shulga and Rivera, 2013). GABAergic interneurons are remarkably diverse and complex in nature and they are believed to play a key role in numerous neurodevelopmental processes (Southwell et al., 2014). During the early cortical network development TH has been shown to regulate the morphology and function of the GABAergic neurons (Westerholz et al., 2010). It is well documented that decreased TH synthesis triggered by TPO and NIS inhibitors affects survival of GABAergic interneurons, as well as their morphology and function.
| ID | Experimental Design | Species | Upstream Observation | Downstream Observation | Citation (first author, year) | Notes |
|---|
| 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
While some in vivo studies (Sawano et al., 2013; Shiraki et al., 2012) have shown a decrease of GABAergic cell populations upon induction of hypothyroidism, Saegusa and co-workers (Saegusa et al., 2010) reported about an increase of GABAergic interneurons. In Saegusa's study, rat dams were treated with either PTU or MMI in the drinking water, and male offspring were immunohistochemically examined on PND 20 and at the adult stage (i.e., 11-week-old). MMI and PTU caused in the offspring growth retardation, lasting into the adult stage. All exposure groups showed a sustained increase of GAD67+ cells in the adult stage, indicating an increase in GABAergic interneurons.
It should be noticed that in Saegusa et al., 2010 in vivo study, increase of GAD67+ cells was mainly observed in the adult stage (11-week-old rats) and analysis of GABAergic interneurons. PV+ cells, which appear to be the GABAergic population most affected by TH dysregulation, was not evaluated. On the opposite, Sawano's and Shiraki's in vivo studies reported a decrease of GABAergic PV+ neurons at earlier stages, respectively on PND 15 and 21 induced by hypothyroidism (Sawano et al., 2013; Shiraki et al., 2012). Discrepancies in results are due to the fact that THs have effects on multiple components of the GABA system. For instance, in the developing brain, hypothyroidism generally decreases enzyme activities and GABA levels, whereas in adult brain, hypothyroidism generally increases enzyme activities and GABA levels.
There are also conflicting results on effects of long term changes in TH levels on GABA reuptake. Therefore, results variability from study to study is due to different experimental study designs, accounting for differences in brain development stages (PND vs adult), times of exposures to chemicals, and regional brain differences (Wiens and Trudeau, 2006).
There is a lack of quantitative studies defining a threshold that would link inhibition of TH synthesis and decrease of GABAergic interneuron populations. Therefore no quantitative information can be provided.
Response-response Relationship
Time-scale
Known Feedforward/Feedback loops influencing this KER
Empirical evidence comes from work with laboratory rodents (rats and mice).