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Record W2168473380 · doi:10.4172/2329-8847.1000130

Epigenetic Changes in Aging and Age-related Disease

2015· article· en· W2168473380 on OpenAlexfundno aff
David A. Rowbotham

Bibliographic record

VenueJournal of Aging Science · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchTerry Fox Foundation
KeywordsEpigeneticsDiseaseOmicsBioinformaticsMedicineAgeingBiologyGerontologyPhysiologyComputational biologyGeneticsInternal medicineGene

Abstract

fetched live from OpenAlex

The epigenome refers to the complete set of heritable chemical modifications made to DNA and histone proteins.Certainly, the most well characterized epigenetic mark is the covalent addition of a methyl group to a CpG dinucleotide site in the genome.The DNA methylome-a collection of methyl marks established during embryogenesis-creates a complex regulatory network involved in cell type differentiation, homeostasis and regulating gene expression in response to environmental stimuli and stress throughout life.Collectively, an increasing body of research supports the notion that over time, diverging methylomes may account for substantial phenotypic discordance in monozygotic-twins and explain disparate susceptibilities to age-related disease.We review this evidence and discuss how a greater insight into the mechanisms of age-related epigenetic dysregulation may inform strategies for molecular diagnostics and therapeutic intervention.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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 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

Citations11
Published2015
Admission routes1
Has abstractyes

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