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Record W1930629809 · doi:10.3934/molsci.2015.2.161

Mitochondrial dynamics in neurodegeneration: from cell death to energetic states

2015· article· en· W1930629809 on OpenAlexaff
Mireille Khacho, Ruth S. Slack

Bibliographic record

VenueAIMS molecular science · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNeurodegenerationMitochondrionNeuroscienceBioenergeticsContext (archaeology)BiologyCell metabolismRegulatorProgrammed cell deathmitochondrial fusionMitophagyDiseaseCell biologyCellMedicineMitochondrial DNAApoptosisGeneticsPathologyAutophagy

Abstract

fetched live from OpenAlex

From Parkinson's disease to an ischemic stroke, a consistently reoccurring theme in the context of neuronal degeneration is the dysfunction of mitochondria as the underlying factor. Insight into the mechanistic basis for mitochondrial dysfunction in neurodegenerative disorders has allowed the theme of mitochondrial dynamics to be highlighted as a central player. The precise balance of mitochondrial dynamics is among the most critical features for the juxtaposed processes of cell death and survival. More recently, studies have allowed mitochondrial shape to emerge as a key regulator of respiratory efficiency that can enforce the bioenergetic status of cells and thereby determine cell fate. Here we review the most current advances that provide an explanation for the long-standing question of how mitochondrial shape can impact cellular metabolism. Furthermore, we discuss the implications of an imbalance in mitochondrial dynamics in neurodegenerative disorders.

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 score0.057
Threshold uncertainty score0.628

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 head0.012
GPT teacher head0.245
Teacher spread0.233 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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