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Record W2076569367 · doi:10.1248/bpb.34.1801

Activation of Vasculogenic Progenitor Cells by ent-16.ALPHA.,17-Dihydroxy-kauran-19-oic Acid

2011· article· en· W2076569367 on OpenAlexaff
So-Hyun Park, Yun-Mi Jeong, Ji Hye Kim, Hyung‐Min Chung, Wonhee Suh, Sang Hyun Sung, Sang Gyu Park, Jong-Hyuk Sung

Bibliographic record

VenueBiological and Pharmaceutical Bulletin · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsProtein kinase BLY294002MAPK/ERK pathwayProgenitor cellTransplantationSignal transductionCancer researchPhosphorylationCell biologyPharmacologyBiologyChemistryStem cellMedicineInternal medicine

Abstract

fetched live from OpenAlex

Vasculogenic progenitor cells (VPCs) circulate in the blood and have the ability to differentiate into endothelial cells that make up the lining of blood vessels. Therefore, VPC transplantation is a new strategy for the treatment of ischemic diseases. Because priming/preconditioning of VPCs before transplantation enhances their regenerative potential, the present study investigated whether ent-16α,17-dihydroxy-kauran-19-oic acid (DHK) isolated from Siegesbeckia pubescens could stimulate/activate VPCs in vitro. Therefore, the effect of DHK (1-100 µM concentration) on the proliferation, migration, and tube forming of VPCs was examined in various systems, and related signaling pathways were identified. DHK treatment significantly increased the proliferation, migration, and tube formation of VPCs in a dose-dependent manner. Phosphorylation of extracellular signal-regulated kinase (ERK)1/2 and Akt was significantly increased by DHK, but chemical inhibitors against ERK1/2 (U0126) and Akt (LY294002) significantly attenuated DHK-enhanced proliferation, migration, and tube formation of VPCs. Collectively, these results indicated that DHK shows promise as a novel VPC primer/activator.

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 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 categoriesInsufficient payload (model declined to judge)
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 score0.339
Threshold uncertainty score0.999

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)0.0020.000

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 head0.051
GPT teacher head0.289
Teacher spread0.237 · 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 teacher head, not a consensus.

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

Citations7
Published2011
Admission routes1
Has abstractyes

Explore more

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