MétaCan
Menu
Back to cohort
Record W2732492302 · doi:10.1113/jp274769

Restoring EEAquilibrium: rebalancing excitation and inhibition in Rett mouse model neurons with early endosome antigen‐1

2017· letter· en· W2732492302 on OpenAlexafffund
Kerry R. Delaney

Bibliographic record

VenueThe Journal of Physiology · 2017
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaInternational Rett Syndrome Foundation
KeywordsNeuroscienceMECP2Rett syndromeHomeostatic plasticitySynaptogenesisLong-term potentiationSynapseNeuroliginNeurotrophic factorsSynaptic plasticityBiologyMetaplasticityInhibitory postsynaptic potentialPhenotypeReceptorExcitatory postsynaptic potential

Abstract

fetched live from OpenAlex

Rett syndrome is a neurological disorder resulting from loss of function of MECP2, an X-linked transcription factor, which controls the expression of hundreds of genes involved in synapse formation and development by binding primarily to methylated DNA. A body of evidence shows deficits in dendritic structure and the formation and maintenance of neural circuits throughout the CNS resulting in cognitive, motor and sensory dysfunction that appear several months after birth. Restoring Mecp2 gene function can reverse even advanced symptoms in knockout (KO) Rett model mice reinforcing the view that this disorder is primarily due to improper wiring of otherwise intact circuits (Leonard et al. 2017). Electrophysiological studies from several brain areas indicate that MeCP2 loss-of-function alters excitation/inhibition (E/I) balance. Mecp2-KO mouse hippocampus is hyperactive due to an E/I imbalance and perhaps not surprisingly long-term potentiation (LTP) is affected. One approach to restoring proper circuit function targets neurotrophic factors or their downstream targets, which are downregulated in MeCP2-deficient mice. Another strategy currently in early stage clinical trials targets inflammatory pathways and microglial function potentially involved in synaptic pruning. In this issue of The Journal of Physiology, Xu and Pozzo-Miller take a more direct approach to restoring balanced neuronal connectivity by manipulating AMPA receptor trafficking (Xu & Pozzo-Miller, 2012). During development and in adult brain, neurons adjust their excitability and strength of synaptic inputs in response to ongoing neural activity by processes broadly defined as homeostatic plasticity and homeostatic scaling. Chronic enhancement or blockade of spiking or fast neurotransmission reveals homeostatic processes that alter synaptic strength and intrinsic neuronal excitability to maintain balanced activity (Turrigiano, 2008). Using primary cell cultures the authors show that MeCP2-null hippocampal neurons are bi-directionally deficient in their homeostatic capacity. They neither scale up the amplitude of miniature excitatory postsynaptic currents (mEPSCs) after silencing with tetrodotoxin (TTX), nor do they scale down amplitudes after blockade of inhibitory GABAA receptors with bicuculline. Amplitude versus variance analyses indicate that MeCP2-null neurons have proportionately more high conductance glutamic acid receptor 1 subunit (GluA1)-containing receptors compared to wild-type, which accounts for their larger amplitude and is posited to be the reason they fail to scale up with TTX. AMPA receptor removal mediates scaling down mEPSCs so the authors examined levels of early endosome antigen-1 (EEA1), which is a key element in their endocytosis. EEA1 mRNA and protein are reduced in Mecp2-KO hippocampus and increasing expression of EEA1 reduces mEPSC amplitudes to wild-type levels, although frequency remains high. Since KO mIPSCs are similar to wild-type the result is a near rebalancing of E/I for spontaneous release. Importantly it also mostly restores scaling down by GABAA blockade, consistent with an increased capacity for receptor endocytosis. Synaptic homeostasis is essential to normal brain function so this demonstration of a role for EEA1 levels in synaptic down-scaling in MeCP2-deficient neurons probably has implications beyond the cellular pathology of Rett syndrome. As with all good studies this one stimulates many questions. Why are mEPSC frequencies enhanced in MeCP2-null neurons and what can normalize this? Does increasing EEA1 normalize the density and subunit composition of receptors to be the same as in wild-type? Is scaling down by bicuculline in MeCP2-null neurons + EEA1 due to reduction in the number of AMPA receptors without a change in conductance as in wild-type? Does knockdown of EEA1 in wild-type neurons to levels equivalent to MeCP2-null neurons block synaptic scaling down? It will also be interesting to see to what extent, if any, normalizing EEA1 can restore normal LTP. The failure of TTX to scale up amplitude in MeCP2-null neurons may reflect an already high insertion rate of high conductance receptors, which is unchanged by EEA1. While baseline amplitudes are restored by EEA1 is LTP still compromised? Bicuculline scales down mEPSC amplitudes in EEA1-enhanced MeCP2-null neurons, but are these scaled down synapses still LTP impaired? If the problem is mainly one of available postsynaptic space for receptors then there may be scope for LTP to develop after scaling down. Phosphorylated MeCP2 is required for scaling down (Zhong et al. 2012). Xu and Pozzo-Miller have moved discussion downstream from MeCP2 to EEA1. Is there a link between phosphorylated MeCP2 and levels of EEA1? Although the study was performed using cultured neurons during a period spanning 7–11 days in vitro, well before the appearance of symptoms in mice, the effects are clear and suggest an early role for EEA1 in development of the Rett phenotype. Given the ubiquitous role of EEA1 in endosome cycling the trails into the receptor trafficking forest will surely lead in many directions. Cell culture studies facilitate detailed investigation of biochemical pathways but in vivo manipulation of EEA1 levels in Mecp2-KO mouse hippocampus is desired for both acute slice as well as behavioural studies. None declared.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.226
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of PhysiologySame topicGenetics and Neurodevelopmental DisordersFrench-language works237,207