This Key Event Relationship is licensed under the Creative Commons BY-SA license. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms.

Relationship: 2840

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 Signaling leads to Abnormal Neural Remodeling

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

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 Moderate NCBI
rat Rattus norvegicus Low NCBI

Sex Applicability

An indication of the the relevant sex for this KER. More help
Sex Evidence
Male Moderate
Female Low
Unspecific Moderate

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
Juvenile Moderate
Adult Low

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

Alterations in signaling pathways can trigger disruption to neuronal structures, which can lead to altered morphology, changes in neurogenesis, neurodegeneration, apoptotic activity and synaptic activity, collectively known as neural remodeling (Cekanaviciute et al., 2018; Chakraborti et al., 2012; Hladik & Tapio, 2016). These intracellular pathways are key processes to control various cell functions such as cell growth, death or communication. Within the neuron, multiple signaling pathways influence its structure and function. For example, the phosphatidylinositol 3-kinase (PI3K)/Akt and mitogen-activated protein kinase (MAPK) family pathways are involved in neuronal survival, proliferation, morphology, and synaptic plasticity (Davis and Laroche, 2006; Long et al., 2021; Mazzucchelli and Brambilla, 2000). The senescence pathway induces cell cycle arrest and can restrict neurogenesis (McHugh and Gil, 2018). The apoptotic pathway can be initiated within the mitochondria due to dysfunction within the respiratory chain and induces various signaling proteins such as p53, BAX, caspases and cytochrome C (Betlazar et al., 2016; Mielke and Herdegen, 2000; Wang et al., 2020). Apoptosis of neurons results in a reduction in neuron numbers, demonstrating neural remodeling. A few studies also measure high apoptosis levels over time, indicating sustained neuron loss contributing to reduced neural activity (Chow, Li, and Wong, 2000; Limoli et al., 2004; Pius-Sadowska et al., 2016). Additionally, the brain-derived neurotrophic factor (BDNF)-cAMP-calcium response element binding protein (CREB) pathway is involved in the regulation of excitatory transmission as CREB-dependent transcription allows for persistent pre- and post-synaptic neurotransmitter release at excitatory synapses (Ran et al., 2012).  

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

The strategy for collating the evidence to support the relationship is described in Kozbenko et al 2022. Briefly, a scoping review methodology was used to prioritize studies based on a population, exposure, outcome, endpoint statement.

Evidence Supporting this KER

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help

Overall Weight of Evidence: Moderate 

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

Neural remodeling can be induced by changes in multiple signaling pathways, including MAPK signaling, PI3K/Akt signaling, senescence signaling, and apoptotic signaling. These pathways are involved in the homeostatic regulation of neuron numbers, morphology, proliferation, differentiation, and synaptic activity. 

Like many signaling pathways, MAPK pathways help maintain the biological functions in neurons, and changes to the expression or activity of signaling molecules in MAPK pathways can result in neural remodeling. The extracellular signal-regulated protein kinase (ERK)1/2 MAPK pathway is crucial for modulating synaptic function and alteration in expression of critical proteins in this pathway will result in long-term potentiation (LTP) deficits (Davis and Laroche, 2006; Mazzucchelli and Brambilla, 2000). Research shows that modulations in ERK1/2 expression and activity can decrease cell proliferation in the hippocampus (Betlazar et al., 2016). The p38 MAPK pathway is also involved in maintaining neuronal plasticity and synaptic function, by inducing metabotropic glutamate receptor (mGluR)-dependent long-term depression (LTD) in hippocampal neurons (Falcicchia et al., 2020). However, p38 demonstrates variable effects in neuronal survival and proliferation. Although p38 signaling is required for the survival of developing neurons, p38 can also be involved in the induction of apoptosis, and subsequent inhibition of p38 promotes cell survival (Mielke and Herdegen, 2000; Nebreda and Porras, 2000). The role of p38 is often dependant on the cell type and stimulus and will determine whether p38 has a positive or negative role on neural cell proliferation (Nebreda and Porras, 2000). The c-Jun NH2-terminal kinase (JNK) MAPK pathway plays a similar role to the p38 pathway, and its function is also dependant on the cell type and context of the cellular environment. JNK can induce apoptosis as well as regulate proteins like tau and microtubule-associated protein (MAP)2 involved in altering cytoskeletal dynamics and cell morphology (Mielke and Herdegen, 2000; Sherrin, Blank, and Todorovic, 2011). JNK is also involved in both pre- and post-synaptic function through the phosphorylation of AMPA receptors and postsynaptic density protein (PSD)95 (Sherrin, Blank, and Todorovic, 2011). 

The PI3K/Akt pathway is involved in many neuronal functions. Activation of the PI3K/Akt pathway promotes transcription of survival genes and inhibits death genes, while also regulating the activity of various death pathways (Long et al., 2021; Rai et al., 2019).  Alterations in Akt expression and activity can decrease cell proliferation in the hippocampus  (Betlazar et al., 2016). The pathway can also regulate neuron morphology, as neurite outgrowth can be induced by activation of the pathway (Rodgers and Theibert, 2002). Synaptic plasticity and LTP, which is induced by the activation of NMDA receptors and the subsequent insertion of AMPA receptors to the membrane, can additionally be regulated by the PI3K/Akt pathway.  It has been shown that the mammalian target of rapamycin (mTOR), downstream of Akt, increases the expression of LTP-related proteins while PI3K guides AMPA insertion on the membrane (Long et al., 2021). Therefore, maintaining the appropriate expression levels of signaling molecules is critical for proper neural development and function. 

The signaling molecules p53/p21 and p16 as part of the cellular senescence pathway can induce cell cycle arrest. For example in neural stem cells (NSCs), reduced functionality and limited neurogenesis is associated with increased senescence markers (McHugh and Gil, 2018). 

The apoptosis pathway, consisting of the pro-apoptotic tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) receptor, caspases, cytochrome C, and Bcl-2-associated X protein (BAX) as well as the anti-apoptotic B-cell lymphoma (Bcl)-2 protein, contributes to a reduction in neuron numbers through cell death when activated (Betlazar et al., 2016; Wang et al., 2020). This pathway may be induced by perturbations to other signaling pathways, including MAPK, PI3K/Akt, and senescent pathways (Hladik and Tapio, 2016; Mielke and Herdegen, 2000). For example, JNK and p53 can both antagonise the anti-apoptotic Bcl-2, while JNK can stabilize p53 and p53 enhances BAX (Mielke and Herdegen, 2000). 

Signaling pathways not just in neurons, but also in astrocytes and microglia, can influence neural remodeling. For example, it was previously mentioned that p38 signaling in neurons contribute to hippocampal mGluR-dependent LTD. In astrocytes, p38 signaling is necessary for NMDA-dependent LTD during astrocyte-to-neuron communication (Falcicchia et al., 2020). In addition, BDNF signaling in both neurons and astrocytes prevents cell death in the respective cells through activation of the ERK and PI3K/Akt pathways. Neuronal death can be prevented by BDNF signaling in both cell types because astrocytes release factors that prevent neuronal death (Rai et al., 2019). 

Synergistic and antagonistic interactions between signaling pathways can also occur, contributing to the complexity and context-dependence of the neural remodeling response to various signaling pathways. For example, nuclear factor of activated T-cells (NFATc) nuclear translocation and transcriptional activation can be encouraged by the PI3K/Akt pathway and the ERK pathway and inhibited by p38 and JNK (Macian, 2005; Mielke and Herdegen, 2000). Activation of NFATc promotes neuronal survival, synaptic plasticity, and neurite outgrowth through the transcription of multiple target genes (Zhang et al., 2018). BDNF activation of the ERK, PI3K/Akt, and Ca2+/calmodulin-dependent protein kinase II (CaMKII) pathways through tropomyosin receptor kinase (Trk) activation results in the activation of CREB transcriptional activity (Cunha, Brambilla, and Thomas, 2010). CREB is essential for the regulation of excitatory transmission, and exogenous stressors can induce hippocampal neuronal damage through the inhibition of this pathway (Hladik and Tapio, 2016; Wang et al., 2020). 

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
  • The changes to a signaling pathway may provide inconsistent outcomes in neural remodeling.  For example, the p38 pathway is involved in many, often opposing, biological processes (Nebreda and Porras, 2000). Different cell types and exposures can be associated with the expression of different receptors of the p38 pathway, resulting in different biological changes. In addition, signaling pathways that synergize or antagonize with each other may be influenced at the same time resulting in cumulative effects across different pathways (Nebreda and Porras, 2000).  

  • Eom et al., 2015:  Irradiation of C17.2 mouse neural stem-like cells with 6 Gy of gamma rays resulted in an increase in β-III tubulin expression, indicating a rise in neurons post-irradiation. However, all other studies observed a decrease in neuron numbers post-irradiation. 

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

Modulating factor  

Details  

Effects on the KER  

References  

Genetic 

Src (regulates the activation of MAPK pathways) knockout 

Src knockout in mice inactivated MAPK and apoptotic signaling and reduced apoptosis in the brain after middle cerebral artery occlusion. 

Tian et al., 2020 

miR-137 (silences Src) knockout 

miR-137 knockout in mice increased MAPK and apoptotic signaling and further increased apoptosis after middle cerebral artery occlusion. 

Tian et al., 2020 

p38 and ERK1/2 knockout 

p38 and ERK1/2 knockout in mice inactivated MAPK and apoptotic signaling and reduced apoptosis in the brain after middle cerebral artery occlusion. 

Tian et al., 2020 

p53 knockout 

Irradiation (1-5 Gy) of p53 knockout mice led to a higher number of neurons and decreased apoptosis compared to irradiation of wild-type mice. 

Chow, Li and Wong, 2000; Limoli et al., 2004 

Drug 

LY367385 (mGluR1 inhibitor). mGluR1 is involved in neuronal differentiation. 

LY367385 (25 M) increased the number of NSCs after 6 Gy radiation of C17.2 neural stem-like cells. 

Eom et al., 2015 

SP600125 (JNK inhibitor) 

SP600125 (5 μM) restored neuronal differentiation after it was reduced by 2 Gy radiation of rat NSCs. 

Kanzawa et al., 2006 

Cyclosporin (CsA, prevents NFATc4/3 nuclear translocation) 

CsA (1 µg/mL) further reduced the levels of dephosphorylated NFATc4/3 as well as total neurite length and branching points after both 2 and 8 Gy irradiation of rat neurons. 

Zhang et al., 2018 

BDNF (induces NFATc4/3 nuclear translocation) 

BDNF (100 ng/mL in vitro, 0.75 µg/1.5 μL in vivo) slightly restored the levels of dephosphorylated NFATc4/3 after 2 Gy irradiation and completely restored neurite length and total branching points both in vitro and in vivo. 

Zhang et al., 2018 

Sex 

Female mice 

Male mice showed many changes in Akt and ERK1/2 activity following acute and chronic irradiation at 0.5 Gy. However, female mice showed only few changes. In addition, male mice showed a trend of fewer immature neurons after 0.5 Gy radiation. 

Silasi et al., 2004 

Exercise 

Forced running in 30-minute intervals twice per day, 5 times per week for 3 weeks. 

Forced running after irradiation completely restored the levels of the signaling molecules in the BDNF-pCREB pathway and slightly restored neurogenesis. 

Ji et al., 2014 

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

NA

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

Evidence for this relationship comes from human-derived cells, rat, and mouse models, with most of the evidence in mice. There is in vivo evidence in both male and female animals, with more evidence in males. Animal age is occasionally not indicated in studies, but most evidence is in adolescent rodent models with a few studies using adult animals. 

References

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

Betlazar, C. et al. (2016), "The impact of high and low dose ionising radiation on the central nervous system", Redox Biology, Vol. 9, Elsevier, Amsterdam, https://doi.org/10.1016/j.redox.2016.08.002

Cekanaviciute, E., S. Rosi and S. V. Costes. (2018), "Central Nervous System Responses to Simulated Galactic Cosmic Rays", International Journal of Molecular Sciences, Vol. 19/11, Multidisciplinary Digital Publishing Institute (MDPI), Basel, https://doi.org/10.3390/IJMS19113669

Chakraborti, A. et al. (2012), "Cranial Irradiation Alters Dendritic Spine Density and Morphology in the Hippocampus", PLOS ONE, Vol. 7/7, Public Library of Science, San Francisco, https://doi.org/10.1371/JOURNAL.PONE.0040844

Chow, B. M., Y.-Q. Li and C. S. Wong. (2000), "Radiation-induced apoptosis in the adult central nervous system is p53-dependent", Cell Death & Differentiation, Vol. 7/8, Springer Nature, https://doi.org/10.1038/sj.cdd.4400704

Cunha, C., R. Brambilla and K. L. Thomas. (2010), "A simple role for BDNF in learning and memory?", Frontiers in Molecular Neuroscience, Vol. 3/1, Frontiers, https://doi.org/10.3389/neuro.02.001.2010

Davis, S. and S. Laroche. (2006), "Mitogen-activated protein kinase/extracellular regulated kinase signalling and memory stabilization: a review", Genes, Brain and Behavior, Vol. 5, Wiley, https://doi.org/10.1111/j.1601-183X.2006.00230.x

El-Missiry, M. A. et al. (2018), "Neuroprotective effect of epigallocatechin-3-gallate (EGCG) on radiation-induced damage and apoptosis in the rat hippocampus", International Journal of Radiation Biology, Vol. 94/9, Informa, London, https://doi.org/10.1080/09553002.2018.1492755

Eom, H. S. et al. (2015), "Ionizing radiation induces neuronal differentiation of Neuro-2a cells via PI3-kinase and p53-dependent pathways", International Journal of Radiation Biology, Vol. 91/7, Informa, London, https://doi.org/10.3109/09553002.2015.1029595

Falcicchia, C. et al. (2020), "Involvement of p38 MAPK in Synaptic Function and Dysfunction", International Journal of Molecular Sciences, Vol. 21/16, MDPI, Basel, https://doi.org/10.3390/ijms21165624

Hladik, D. and S. Tapio. (2016), "Effects of ionizing radiation on the mammalian brain", Mutation Research - Reviews in Mutation Research, Vol. 770, Elsevier, Amsterdam, https://doi.org/10.1016/j.mrrev.2016.08.003

Huang, Y. et al. (2021), "Mesenchymal Stem Cell-Conditioned Medium Protects Hippocampal Neurons From Radiation Damage by Suppressing Oxidative Stress and Apoptosis", Dose-Response, Vol. 19/1, SAGE publications, https://doi.org/10.1177/1559325820984944

Ivanov, V. N. and T. K. Hei. (2014), "A role for TRAIL/TRAIL-R2 in radiation-induced apoptosis and radiation-induced bystander response of human neural stem cells", Apoptosis, Vol. 19/3, Springer Nature, https://doi.org/10.1007/s10495-013-0925-4

Ji, J. et al. (2014), "Forced running exercise attenuates hippocampal neurogenesis impairment and the neurocognitive deficits induced by whole-brain irradiation via the BDNF-mediated pathway", Biochemical and Biophysical Research Communications, Vol. 443/2, Elsevier, Amsterdam, https://doi.org/10.1016/j.bbrc.2013.12.031

Kanzawa, T. et al. (2006), "Ionizing radiation induces apoptosis and inhibits neuronal differentiation in rat neural stem cells via the c-Jun NH2-terminal kinase (JNK) pathway", Oncogene, Vol. 25/26, Springer Nature, https://doi.org/10.1038/sj.onc.1209414

Kumar, V. et al. (2005), “Regulation of Dendritic Morphogenesis by Ras-PI3K-Akt-mTOR and Ras-MAPK Signaling Pathways”, Journal of Neuroscience, Vol. 25/49, Society for Neuroscience, https://doi.org/10.1523/JNEUROSCI.2284-05.2005

Limoli, C. L. et al. (2004), "Radiation Response of Neural Precursor Cells: Linking Cellular Sensitivity to Cell Cycle Checkpoints, Apoptosis and Oxidative Stress", Radiation Research, Vol. 161/1, BioOne, https://doi.org/10.1667/RR3112

Long, H.-Z. et al. (2021), "PI3K/AKT Signal Pathway: A Target of Natural Products in the Prevention and Treatment of Alzheimer’s Disease and Parkinson’s Disease", Frontiers in Pharmacology, Vol. 12, Frontiers, https://doi.org/10.3389/fphar.2021.648636

Macian, F. (2005), "NFAT proteins: key regulators of T-cell development and function", Nature Reviews Immunology, Vol. 5/6, Springer Nature, https://doi.org/10.1038/nri1632

Mazzucchelli, C. and R. Brambilla. (2000), "Ras-related and MAPK signalling in neuronal plasticity and memory formation", Cellular and Molecular Life Sciences, Vol. 57/4, Springer Nature, https://doi.org/10.1007/PL00000722

McHugh, D. and J. Gil. (2018), "Senescence and aging: Causes, consequences, and therapeutic avenues", Journal of Cell Biology, Vol. 217/1, Rockefeller University Press, New York, https://doi.org/10.1083/jcb.201708092

Mielke, K. and T. Herdegen. (2000), "JNK and p38 stresskinases — degenerative effectors of signal-transduction-cascades in the nervous system", Progress in Neurobiology, Vol. 61/1, Elsevier, Amsterdam, https://doi.org/10.1016/S0301-0082(99)00042-8

Nebreda, A. R. and A. Porras. (2000), "p38 MAP kinases: beyond the stress response", Trends in Biochemical Sciences, Vol. 25/6, Elsevier, Amsterdam, https://doi.org/10.1016/S0968-0004(00)01595-4

Pius-Sadowska, E. et al. (2016), "Alteration of Selected Neurotrophic Factors and their Receptor Expression in Mouse Brain Response to Whole-Brain Irradiation", Radiation Research, Vol. 186/5, BioOne, https://doi.org/10.1667/RR14457.1

Rai, S. N. et al. (2019), "The Role of PI3K/Akt and ERK in Neurodegenerative Disorders", Neurotoxicity Research, Vol. 35/3, Elsevier, Amsterdam, https://doi.org/10.1007/s12640-019-0003-y

Ran, I., I. Laplante and J.-C. Lacaille. (2012), "CREB-Dependent Transcriptional Control and Quantal Changes in Persistent Long-Term Potentiation in Hippocampal Interneurons", Journal of Neuroscience, Vol. 32/18, Society for Neuroscience, https://doi.org/10.1523/JNEUROSCI.5463-11.2012

Rodgers, E. E. and A. B. Theibert. (2002), "Functions of PI 3‐kinase in development of the nervous system", International Journal of Developmental Neuroscience, Vol. 20/3–5, Wiley, https://doi.org/10.1016/S0736-5748(02)00047-3

Sherrin, T., T. Blank and C. Todorovic. (2011), "c-Jun N-terminal kinases in memory and synaptic plasticity", Reviews in the Neurosciences, Vol. 22/4, De Gruyter, https://doi.org/10.1515/rns.2011.032

Silasi, G. et al. (2004), "Selective brain responses to acute and chronic low-dose X-ray irradiation in males and females", Biochemical and Biophysical Research Communications, Vol. 325/4, Elsevier, Amsterdam, https://doi.org/10.1016/j.bbrc.2004.10.166

Suman, S. et al. (2013), "Therapeutic and space radiation exposure of mouse brain causes impaired DNA repair response and premature senescence by chronic oxidant production", Aging, Vol. 5/8, https://doi.org/10.18632/aging.100587

Tian, R. et al. (2020), "miR-137 prevents inflammatory response, oxidative stress, neuronal injury and cognitive impairment via blockade of Src-mediated MAPK signaling pathway in ischemic stroke", Aging, Vol. 12/11, https://doi.org/10.18632/aging.103301

Wang, Q. et al. (2020), "Radioprotective Effect of Flavonoids on Ionizing Radiation-Induced Brain Damage", Molecules, Vol. 25/23, MDPI, Basel, https://doi.org/10.3390/molecules25235719

Zhang, Q. et al. (2018), "The effect of brain-derived neurotrophic factor on radiation-induced neuron architecture impairment is associated with the NFATc4/3 pathway", Brain Research, Vol. 1681, Elsevier, Amsterdam, https://doi.org/10.1016/j.brainres.2017.12.032