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Cardiolipin exposure on the outer mitochondrial membrane modulates α‐synuclein proteostasis in hPSC‐derived Parkinson's Disease neurons

2018· article· en· W3176634921 on OpenAlexafffundabout
Scott D. Ryan, Tammy L. Ryan, Vladamir V. Bamm, Morgan G. Stykel, Carla C. Coackley, Kayla Humphries, George Harauz

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSynucleinopathiesBiologySubstantia nigraInduced pluripotent stem cellCell biologyAlpha-synucleinPars compactaSynucleinParkinson's diseaseGeneticsNeuroscienceDopaminergicEmbryonic stem cellGenePathologyDiseaseDopamineMedicine

Abstract

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Introduction The decline of voluntary motor function in Parkinson's disease (PD) is caused by loss of A9 dopaminergic (DA) neurons in the substantia nigra pars compacta. The death of these neurons is preceded by the formation of intracellular proteinaceous aggregates known as Lewy Bodies, which contain a variety of misfolded protein components, including α‐synuclein (α‐syn). Although SNCA mutations (α‐syn gene) are causal in several rare familial forms of PD, mutations in the SNCA locus are also consistently identified in genome‐wide association studies (GWAS) of sporadic PD, and α‐syn protein is commonly found in Lewy‐neurites of idiopathic disease cases. These findings emphasize the need to understand how altered α‐syn structure and function relate to PD pathogenesis in general terms. Approach The generation of human isogenic induced pluripotent stem cell (hiPSC) and embryonic stem cell (hESC) models of familial PD has facilitated the analysis of PD pathology at the cellular level, allowing us to contrast A9‐type DA neurons (hNs) harboring the SNCA‐ A53T or SNCA ‐E46K mutations with isogenic, mutation‐corrected controls. Using these systems in combination with SNCA ‐A53T transgenic animals, we describe a novel mechanism in which the mitochondrial membrane lipid cardiolipin plays a vital role in preventing accumulation of α‐syn protein aggregates. This protective process is disrupted by both SNCA ‐A53T and SNCA‐ E46K mutations. Results Here, we demonstrate that cardiolipin translocates to the outer mitochondrial membrane (OMM) in both A53T and E46K SNCA ‐mutant hNs at the onset of α‐syn deposition, where it binds α‐syn, facilitating the folding of intrinsically disordered α‐syn to an a‐helical conformation. This finding was confirmed in SNCA ‐A53T transgenic mouse brains. Furthermore, we show that OMM‐localized cardiolipin can pull α‐syn monomers away from multimeric‐fibrils and facilitate their re‐folding, from multimeric b‐sheet forms back to monomers comprising a‐helices, effectively buffering α‐syn pathology. Surprisingly, both the A53T and E46K α‐syn mutations reduced the kinetic rate of cardiolipin‐mediated α‐syn re‐folding relative to wild‐type (WT), increasing the level of α‐syn present at the OMM in A53T and E46K hNs. Binding of A53T and E46K α‐syn to cardiolipin led to significantly increased LC3 recruitment to the OMM relative to WT α‐syn, which in turn increased mitochondrial stress, triggering excessive mitophagy. Significance This work represents the first demonstration of α‐syn as a modulator of LC3 function, and identifies cardiolipin exposure on mitochondrial membranes as a key regulator of PD pathogenesis. Support or Funding Information 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, RG121541 to GH), the CRC Program (GH). This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.022
GPT teacher head0.249
Teacher spread0.227 · 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".

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Citations1
Published2018
Admission routes3
Has abstractyes

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