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Record W4410290375 · doi:10.1071/rd24199

The influence of CCN family proteins on ovarian physiology and pathology

2025· review· en· W4410290375 on OpenAlex
El Arbi Abulghasem, Christopher A. Price

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

VenueReproduction Fertility and Development · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsOttawa Fertility CentreCegep de Saint Hyacinthe
FundersMinistry of Education, Libya
KeywordsReproductive technologyReproductive immunologyFolliculogenesisOogenesisBiologyPhysiologyTheriogenologyStem cell biologyReproductive biologyReproductive physiologyReproductive medicineBioinformaticsPathologyMedicineCell biologyEndocrinologyGeneticsOocyteCryopreservationEmbryoPregnancyEmbryogenesis

Abstract

fetched live from OpenAlex

The CCN family of proteins is comprised of six matricellular proteins known to regulate multiple cellular processes such as adhesion, proliferation, differentiation, and apoptosis. CCN proteins are known to function through the binding of integrin receptors and through the regulation of growth factors and cytokines in the context of cardiovascular and skeletal development, injury repair, fibrosis, inflammation and cancer. The expression and roles of several CCNs, particularly CCN1 and CCN2, have been investigated in the ovary as they are effectors of the Hippo signaling pathway, and their role in the development of ovarian fibrosis has been described. Here we review the patterns of expression of CCN1-6 in the ovarian follicle, and the role of CCN2 in follicle development and steroidogenesis, and the expression and potential actions of CCN1-6 in ovarian cancers. We highlight the roles CCNs may play in inflammatory processes, and put forth a case for CCN involvement in the process of ovulation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.037
GPT teacher head0.324
Teacher spread0.287 · 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