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Record W2109612910 · doi:10.2174/0929867310504050599

Molecular Actions of Polyhalogenated Arylhydrocarbons (PAHs) in Female Reproduction

2005· review· en· W2109612910 on OpenAlexaff
Sabine Hombach‐Klonisch, Paola Pocar, Silke Kietz, Thomas Klonisch

Bibliographic record

VenueCurrent Medicinal Chemistry · 2005
Typereview
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsReproductionChemistryBiologyEcology

Abstract

fetched live from OpenAlex

Polyhalogenated aromatic arylhydrocarbons (PAHs) such as polychlorinated dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs), the polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs) are persistent lipophilic pollutants, which affect female fertility resulting in severe reproductive dysregulation, including anovulation, reduced conception rates, abortion, menstrual abnormalities and developmental defects of female reproductive tissues. Many PAHs exert their effects by activating a family of basic helix-loop-helix (bHLH) transcription factors, the arylhydrocarbon receptor (AhR) and the arylhydrocarbon receptor nuclear translocator (ARNT), which result in the expression of AhR target molecules. Complex interactions between PAH-mediated AhR activation and ER signalling pathways have been discovered which may contribute to the developmental malformations, impact on reproductive dysfunctions and promote carcinogenic dedifferentiation of tissues within the female reproductive tract. This review will focus on the multifaceted roles of PAHs in key organs of the female reproductive tract, the ovary, uterus/ endometrium and the mammary gland. The complexity and diversity of actions unleashed by PAHs in these female reproductive tissues identify these environmental pollutants as important endocrine disrupting toxicants impacting on female fertility.

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 score0.003
Threshold uncertainty score0.009

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.050
GPT teacher head0.347
Teacher spread0.297 · 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

Citations60
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Medicinal ChemistrySame topicToxic Organic Pollutants ImpactFrench-language works237,207