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FoxO induced inhibition of secreted molecule signalling pathways: role in promoting angiostasis in the ischemic muscle

2013· article· en· W1138658117 on OpenAlexaff
Emilie Roudier, Małgorzata Milkiewicz, Tara L. Haas

Bibliographic record

VenueThe FASEB Journal · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCalpain Protease Function and Regulation
Canadian institutionsYork University
Fundersnot available
KeywordsCell biologyWnt signaling pathwayFOXO1Extracellular matrixChemistrySignal transductionBiologyMolecular biologyProtein kinase B

Abstract

fetched live from OpenAlex

We showed previously that FoxO1 promotes an angiostatic environment within of the vasculature of the ischemic muscle by upregulating of the extracellular matrix (ECM) protein thrombospondin‐1. Here, we aim to identify FoxO targets involved in ECM signalling. BMP and activin membrane‐bound inhibitor (BAMBI) and soluble frizzled‐related protein 1 (sFRP1) are respective inhibitors of the signals of 2 secreted molecules TGF‐β and Wnt. Primary cultures of microvascular endothelial cells (MEC) of mice having the 3 FoxO genes flanked with LoxP sites (FoxOL/L) were transduced with adeno‐Cre recombinase to delete FoxO genes. This increased BAMBI mRNA levels by 7 fold, and decreased sFRP1 expression by 2.8 fold. Conversely, over‐expression of constitutively active FoxO1 in MECs lowered BAMBI mRNA by 70% and increased sFRP1 mRNA levels by 110%. Within murine ischemic muscle (4 days post femoral artery ligation), the levels of sFRP1 were increased (p=0.055) and BAMBI expression was reduced significantly (p=0.03). Ischemia‐induced alterations in sFRP1 and BAMBI expression were abolished in mice with EC‐directed deletion of FoxO (ΔFoxO). Our data indicate that sFRP1 and BAMBI are regulated reciprocally by FoxO1. The FoxO‐dependent regulation of Wnt and TGF‐β signalling pathways may contribute to establish an angiostatic microenvironment within ischemic muscle.

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)0.001
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 score0.004
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.212
Teacher spread0.198 · 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.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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