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Record W2218509190 · doi:10.1093/molehr/gav056

Selective modulation of the prostaglandin F2α pathway markedly impacts on endometriosis progression in a xenograft mouse model

2015· article· en· W2218509190 on OpenAlexafffundabout
Syed F. Ahmad, Ali Akoum, Andrew W. Horne

Bibliographic record

VenueMolecular Human Reproduction · 2015
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsCentre hospitalier de l'Université LavalUniversité Laval
FundersMedical Research CouncilCanadian Institutes of Health Research
KeywordsEndometriosisBiologyBlockadeProstaglandinInternal medicineReceptorProstaglandin E2EndocrinologyCancer researchProstaglandin E2 receptorMedicineBiochemistry

Abstract

fetched live from OpenAlex

STUDY HYPOTHESIS: Selective activation or blockade of the prostaglandin (PG) F2α receptor (FP receptor) affects ectopic endometrial tissue growth and endometriosis development. STUDY FINDING: FP receptor antagonists might represent a promising approach for the treatment of peritoneal endometriosis. WHAT IS KNOW ALREADY: Eutopic and ectopic endometrium from women with endometriosis exhibit higher expression of key enzymes involved in the PGF2α biosynthetic pathway. It has also been shown that the PGF2α-FP receptor interaction induces angiogenesis in human endometrial adenocarcinoma. STUDY DESIGN, SAMPLES/MATERIALS, METHODS: For this study, a mouse model of endometriosis was developed by inoculating human endometrial biopsies into the peritoneal cavity of nude mouse (n = 15). Mice were treated with AL8810 (FP receptor antagonist), Fluprostenol (FP receptor agonist) or PBS. Endometriosis-like lesions were collected and analysed for set of markers for angiogenesis, tissue remodelling, apoptosis, cell proliferation and capillary formation using qPCR and immunohistochemistry. MAIN RESULTS AND THE ROLE OF CHANCE: We found that selective inhibition of the FP receptor with a specific antagonist, AL8810, led to a significant decline in the number (P < 0.01) and size of endometriosis-like lesions (P < 0.001), down-regulated the expression of key mediators of tissue remodelling (MMP9, P < 0.05) and angiogenesis (VEGF, P < 0.01) and up-regulated the pro-apoptotic factor (Bax, P < 0.01) as compared with controls. Immunohistochemical analyses further showed a marked decrease in cell proliferation and capillary formation in endometrial implants from AL8810-treated mice, as determined by proliferating cell nuclear antigen (PCNA) and von Willebrand factor (vWF) immunostaining, respectively. Moreover, Fluprostenol, a selective FP receptor agonist, showed the opposite effects. LIMITATIONS, REASONS FOR CAUTION: We carried out this study in nude mice, which have low levels of endogenous estrogens which may affect the lesion growth. Caution is required when interpreting these results to women. WIDER IMPLICATIONS OF THE FINDINGS: This study extends the role of PG signalling in endometriosis pathogenesis and points towards the possible relevance of selective FP receptor antagonism as a targeted treatment for endometriosis. LARGE SCALE DATA: Not Applicable. STUDY FUNDING AND COMPETING INTERESTS: This work was supported by grant MOP-123259 to the late Dr Ali Akoum from the Canadian Institutes for Health Research. The authors have no conflict of interest.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.331
Teacher spread0.294 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations21
Published2015
Admission routes3
Has abstractyes

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