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Record W1977922514 · doi:10.1093/humupd/dmu058

The effects of dietary polyphenols on reproductive health and early development†

2014· review· en· W1977922514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Reproduction Update · 2014
Typereview
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsContext (archaeology)MedicineBioinformaticsBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Emerging evidence from clinical and epidemiological studies suggests that dietary polyphenols play an important role in the prevention of chronic diseases, including cancer, cardiovascular disease, diabetes and neurodegenerative disorders. Although these beneficial health claims are supported by experimental data for many subpopulation groups, some studies purport that excessive polyphenol consumption may have negative health effects in other subpopulations. The ever-growing interest and public awareness surrounding the potential benefits of natural health products and polyphenols, in addition to their widespread availability and accessibility through nutritional supplements and fortified foods, has led to increased consumption throughout gestation. Therefore, understanding the implications of polyphenol intake on obstetrical health outcomes is of utmost importance with respect to safe consumption during pregnancy. METHODS: Using relevant keywords, a literature search was performed to gather information regarding polyphenol pharmacology and the molecular mechanisms by which polyphenols exert their biological effects. The primary focus of this paper is to understand the relevance of these findings in the context of reproductive physiology and medicine. RESULTS: Evidence from both in vitro experiments and in vivo studies using animals and humans demonstrates that polyphenols regulate key targets related to oxidative stress, inflammation and advanced glycation end products. Although the majority of these studies have been conducted in the context of chronic diseases, such as cancer and diabetes, several of the key targets influenced by polyphenols are also related to a variety of obstetrical complications, including pre-eclampsia, intrauterine growth restriction and preterm birth. Polyphenols have also been shown to influence fertility and sexual development, fetal health and the bioavailability of nutrients. CONCLUSIONS: Further research leading to a thorough understanding of the physiological roles and potential clinical value that polyphenol consumption may play in pregnancy is urgently needed to help inform patient safety.

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.344
Teacher spread0.304 · 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