MétaCan
Menu
← Back to cohort
Record W4412314525

Targeting α-synuclein oligomers: The importance of characterisation

2017· article· en· W4412314525 on OpenAlexaff
Femke van Diggelen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsiNano Medical (Canada)
Fundersnot available
KeywordsComputational biologyComputer scienceBiology
DOInot available

Abstract

fetched live from OpenAlex

Parkinson’s Disease (PD) is a complex disease, characterised by degeneration of neocortical, limbic and nigrostriatal neurons. It is unknown what initiates neurodegeneration, but soluble oligomers of the protein α-synuclein (αSn) seem to be particularly toxic, compared to insoluble fibrils. Although there is currently no cure for PD, αSn oligomers (αSOs) are a potential therapeutic target, but a major drawback it that little is known about the nature of PD-associated αSOs. The scientific literature describes a wide variety of protocols to generate αSOs in vitro, with a subsequent heterogeneity in reported structure and bioactivities, making it difficult to predict which species is/are most relevant. The aim of this thesis is to improve and expand current knowledge on αSOs and their role in PD, with a focus on αSOs modified by the polyunsaturated fatty acid docosahexaenoic acid (DHA), and the reactive aldehyde 4-hydroxynonenal (HNE), on which current literature is limited. We performed extended characterisation using techniques aimed at resolving morphological, structural, chemical, dynamical and functional properties. We showed that, despite their clear chemical differences, DHA- and HNE-αSOs share a remarkable amount of resemblance with unmodified αSOs: they were spherical, had an anti-parallel β-sheet character, were most protected from hydrogen/deuterium exchange in the core region of αSn, and were able to permeabilize small synthetic vesicles. Nonetheless, both species also had their own unique characteristics, e.g. they were recognized by different conformational antibodies and DHA–αSOs also formed a second elongated species in addition to the dominant spherical species. Although further functional testing is needed, this suggests that each species has its own distinct toxic mechanism, in addition to what may be a shared common contribution to pathology. Finally we showed that both species co-localised with glutamatergic synapses of hippocampal neurons upon addition to the cell culture medium, and we identified six proteins which might explain this synaptic binding of DHA-αSOs: VAMP-2B, Na+/K+ ATPase, V-type ATPase, VDAC, CaMKII and Rab-3A. The identification of these targets is a first step towards unravelling the toxic pathways which are activated upon synaptic binding of extracellularly added αSOs, and hopefully will contribute to the discovery of new disease modifying compounds, which can block the toxic interaction between the αSOs and their binding partner.

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 score0.001
Threshold uncertainty score0.002

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.291
Teacher spread0.265 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicParkinson's Disease Mechanisms and Treatments→French-language works237,207→