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Nrf2 Activation Rescues Dendritic Pathology in hPSC‐Derived And Primary Neuron Based Models of Parkinson's Disease

2018· article· en· W3173791927 on OpenAlexafffundabout
Jennifer Drolet, Christopher Czaniecki, Tammy Ryan, Morgan G. Stykel, Carla Coackley, Scott D. Ryan

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNuclear Receptors and Signaling
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSubstantia nigraPars compactaDopaminergicInduced pluripotent stem cellCell biologyOxidative stressParkinson's diseaseProteostasisBiologyPhenotypeReactive oxygen speciesNeuroprotectionNeuroscienceDopamineAlpha-synucleinChemistryDiseaseBiochemistryPathologyMedicineEmbryonic stem cellGene

Abstract

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Introduction Neuronal loss in Parkinson's disease (PD) is associated with impaired proteostasis and increased oxidative stress in dopaminergic neurons of the substantia nigra pars compacta. In a healthy cell, redox imbalance is controlled by enzymes that detoxify the cell of free radicals. These enzymes are transcriptionally activated as part of the cells antioxidant response. The master regulator of this pathway is a transcription factor called Nrf2 (a.k.a NFE2L2). Aggregated α‐synuclein (α‐syn) is the major constituent of Lewy Bodies (the disease hallmark), however the mechanisms linking α‐syn aggregation with generation of reactive oxygen species (ROS) have been difficult to ascertain. We therefore asked whether a deficit in the antioxidant response might explain the increased susceptibility of PD neurons to ROS generation and dendritic pathology following α‐syn aggregation. Methods To study these events, we contrasted human pluripotent stem cells (hPSCs) that harbor the α‐syn‐A53T mutation against isogenic controls. A9‐type dopaminergic neurons (the specific neurons lost in PD) were generated from hPSCs by following a floor plate differentiation paradigm. α‐syn‐A53T neurons show accumulation of insoluble α‐syn consistent with an early disease phenotype. We similarly contrasted rat primary neurons against neurons exposed to α‐syn pre‐formed fibrils (PFF). PFF exposed neurons accumulate large intracellular aggregates of α‐syn consistent with advanced synucleinopathy. We show that aberrant accumulation of α‐syn in both systems promotes increased ROS production coupled to increased dendritic pathology and decreased dendritic length and complexity. Results To evaluate the role of Nrf2 in dendritic pathology we measured Nrf2 protein stability and phospho‐activation in A53T‐mutant and PFF exposed neurons. We found that α‐syn accumulation impaired Nrf2 phospho‐activation leading to the subsequent loss of expression of Nrf2 target genes. To determine whether Nrf2‐mediated activation of Antioxidant Response Elements (AREs) could rescue the observed dendritic pathology, we tested the effects of both Nrf2 overexpression and pharmaceutical modulation of Nrf2 activity on dendritic pathology. We found that Nrf2‐activation increased expression of detoxifying enzymes and reduced ROS levels in both A53T‐mutant and PFF exposed neurons, leading to a significant decrease in dendritic pathology. Significance This investigation established that the Nrf2 transcriptional pathway is impaired by aberrant accumulation of α‐syn in both A53T‐mutant and PFF exposed neurons and determined that restoration of the anti‐oxidant pathway protects PD neurons from dendritic pathology. Support or Funding Information Funding: This work was supported in part by the Parkinson Society of Canada (2014‐685 to SDR), the Natural Sciences and Engineering Research Council of Canada (RG060805 to SDR) This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.070
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.246
Teacher spread0.213 · 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 teacher head, 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

Citations0
Published2018
Admission routes3
Has abstractyes

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