MétaCan
Menu
Back to cohort
Record W1976045038 · doi:10.1080/10623320802487775

Interaction of Estrogen and Tumor Necrosis Factor α in Endothelial Cell Migration and Early Stage of Angiogenesis

2008· article· en· W1976045038 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

VenueEndothelium · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsRoyal Victoria HospitalRoyal Victoria Regional Health CentreMcGill University Health Centre
Fundersnot available
KeywordsAngiogenesisTumor necrosis factor alphaEstrogenCytokineEndocrinologyInternal medicineVascular endothelial growth factorCancer researchMedicineWound healingInflammationImmunologyVEGF receptors

Abstract

fetched live from OpenAlex

The role of estrogen replacement therapy in postmenopausal women remains controversial. The authors hypothesized that contradictory results with estrogen therapy may be explained by estrogen's potent proangiogenic property, which could be protective in women without atherosclerotic disease but in the presence of chronic inflammation, could lead to destabilization of atherosclerotic plaques. The authors thus examined the interaction between 17beta-estradiol (E2) and the inflammatory cytokine tumor necrosis factor alpha (TNFalpha) in an early stage of angiogenesis. Human umbilical endothelial cells were grown to confluence. Migration was assessed with a wound assay and proliferation was assessed with 5-bromo-2'-deoxyuridine (BrDU). Cells were treated with medium alone, TNFalpha at 0.3, 1, or 20 ng/ml, E2 at 20 nM, or the combination of E2 and TNFalpha. The authors used real-time polymerase chain reaction (PCR) to measure changes in expression of the angiogenesis genes angiopoeitin-2 (Ang-2), vacular endothelial growth factor (VEGF)-A and -C, and interleukin (IL)-8. A large dose of TNFalpha (20 ng/ml) inhibited healing at 24 to 48 h and the addition of E2 preserved some healing. E2 by itself doubled migration, with only a minimal effect on proliferation. A low dose of TNFalpha (0.3 ng/ml) had no effect on migration, 1.0 ng/ml moderately increased it, but the addition of E2 to both doses of TNFalpha increased migration. There was no change in migration when cells were pretreated with E2 and given TNFalpha after wounding, whereas pretreatment with TNFalpha followed by E2 significantly increased wound healing. The nitric oxide synthase (NOS) inhibitor N-nitro-l-arginine-methyl ester (l-NAME) completely blocked the E2 effect on migration. TNFalpha (0.3 and 1.0 ng/ml) increased expression of VEGF-C (2.8 +/- 0.1- and 2.5 +/- 0.2-fold, respectively) and IL-8 (32.8 +/- 1.2- and 42.7 +/- 3.6-fold, respectively) mRNA, but E2 had no significant effect on these molecules. E2 increases the angiogenic activity of TNFalpha. This could potentially worsen the stability of complex atherosclerotic plaques and increase cardiovascular events.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.124
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.008
GPT teacher head0.221
Teacher spread0.213 · 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