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Record W2059994082 · doi:10.4161/auto.8.1.18722

Autophagy links lipid metabolism to longevity in<i>C. elegans</i>

2012· article· en· W2059994082 on OpenAlexaff
Louis R. Lapierre, Alicia Meléndez, Malene Hansen

Bibliographic record

VenueAutophagy · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Aging, and Longevity in Model Organisms
Canadian institutionsInstitute of Aging
FundersNational Institute on Aging
KeywordsAutophagyBiologyLongevityCell biologyLipid metabolismLife spanGermlineMechanism (biology)GeneticsEvolutionary biologyBiochemistryGene

Abstract

fetched live from OpenAlex

The cellular recycling process of autophagy is emerging as a central player in many of the conserved longevity pathways in C. elegans, but the underlying mechanisms that link autophagy and life span remain unclear. In a recent study, we provided evidence to suggest that autophagy modulates aging through an effect on lipid homeostasis. Specifically, we identified a role for autophagy in a longevity model in which germline removal in C. elegans extends life span. Life-span extension in these animals is achieved, at least in part, through increased expression of the lipase LIPL-4. We found that autophagy and LIPL-4-dependent lipolysis are both upregulated in germline-less animals and work interdependently to prolong life span. While these genetic results lend further support to a growing link between autophagy and lipid metabolism, our findings are the first to suggest a possible molecular mechanism by which autophagy modulates organismal aging.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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

Citations63
Published2012
Admission routes1
Has abstractyes

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