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Record W2340086547 · doi:10.1515/hsz-2016-0137

Mechanisms of mitophagy: putting the powerhouse into the doghouse

2016· review· en· W2340086547 on OpenAlexfundno aff
Joel S. Riley, Stephen W. G. Tait

Bibliographic record

VenueBiological Chemistry · 2016
Typereview
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilServierCancer Research SocietyTenovusCancer Research UKRoyal Society
KeywordsMitophagyChemistryAutophagyBiochemistryApoptosis

Abstract

fetched live from OpenAlex

Since entering our cells in an endosymbiotic event one billion years ago, mitochondria have shaped roles for themselves in metabolism, inflammation, calcium storage, migration, and cell death. Given this critical role in cellular homeostasis it is essential that they function correctly. Equally critical is the ability of a cell to remove damaged or superfluous mitochondria to avoid potential deleterious effects. In this review we will discuss the various mechanisms of mitochondrial clearance, with a particular focus on Parkin/PINK1-mediated mitophagy, discuss the impact of altered mitophagy in ageing and disease, and finally consider potential therapeutic benefits of targeting mitophagy.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.046
GPT teacher head0.338
Teacher spread0.292 · 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 designOther design
Domainnot available
GenreReview

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

Citations11
Published2016
Admission routes1
Has abstractyes

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