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Record W4411839418 · doi:10.59249/bdgn2070

A Scoping Review of Epigenetic Signatures of Diet and Diet-relatedMetabolites: Insights from Epigenome-Wide Association Studies and TheirImplications for Cardiometabolic Health and Diseases

2025· review· en· W4411839418 on OpenAlexaff
Rameen Asif, Ruihan Liu, Russell J. de Souza, Sandi M. Azab, Michael Chong, Sonia S. Anand, Wei Q. Deng

Bibliographic record

VenueThe Yale Journal of Biology and Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactHamilton Health SciencesPopulation Health Research InstituteMcMaster University
Fundersnot available
KeywordsEpigenomeEpigeneticsAssociation (psychology)BiologyBioinformaticsGeneticsDNA methylationMedicineComputational biologyPsychologyGene

Abstract

fetched live from OpenAlex

, particularly in relation to fatty acid consumption, and certain diet patterns. Biological pathways enriched included fatty acid metabolism and the PPAR signaling pathway. In conclusion, our review identified a pattern of epigenetic convergence that may underlie diet-related disease risk. While promising, key knowledge gaps were also noted, including limited longitudinal follow-up, unclear causal pathways, and underrepresentation of ethnic diversity. Moving forward, we highlighted several complementary approaches for translating nutritional EWAS findings into actionable public health and precision nutrition strategies, including integrating multi-omics, mediation analyses, and population-wide epigenetic risk profiling.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0080.009
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.052
GPT teacher head0.413
Teacher spread0.361 · 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 designSystematic review
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

Citations2
Published2025
Admission routes1
Has abstractyes

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