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Record W4401175067 · doi:10.1530/rep-24-0198

Reproductive Ageing: Declining translational capacity as a potential driver for oocyte meiotic instability

2024· review· en· W4401175067 on OpenAlexafffund
Katie Jordanna Danielson, Kayla Lee Judson, Ethan J. Greenblatt

Bibliographic record

VenueReproduction · 2024
Typereview
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity of British Columbia
FundersFaculty of Medicine, University of British Columbia
KeywordsOocyteMeiosisInstabilityCell biologyBiologyGeneticsPhysicsMechanicsGene

Abstract

fetched live from OpenAlex

In Brief: This point of view article focuses on the potential contribution of defects in protein synthesis (translation) to the incidence of oocyte meiotic failure. We discuss the potential cause of diminished oocyte translation during aging and the impact of these deficits on the function of the meiotic spindle. Abstract: Errors during female meiosis lead to embryonic aneuploidy and miscarriage and occur with increasing frequency during aging. The underlying molecular changes that drive female meiotic instability remain a subject of debate. Developing oocytes undergo a tremendous increase in cytoplasmic volume over several months of follicle development and rely on long-lived mRNAs and ribosomes accumulated during this growth phase for subsequent meiotic maturation. In this point of view article, we discuss how the unique reliance on stores of long-lived mRNAs and ribosomes may represent an Achilles' heel for oocyte function and how alterations that reduce the translational capacity of oocytes could be a factor significantly contributing to female infertility. Understanding these mechanisms could lead to new therapeutic strategies to improve fertility outcomes.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.110
GPT teacher head0.383
Teacher spread0.274 · 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.

Study designNot applicable
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

Citations3
Published2024
Admission routes2
Has abstractyes

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