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Record W2794162197 · doi:10.21037/aes.2018.ab010

AB010. Promotion of BMP9/ALK1 quiescence signaling for the prevention of diabetic macular edema (DME)

2018· article· en· W2794162197 on OpenAlexaff
Naoufal Akla, Claire Viallard, Cindy Lora Gil, Sapieha Przemyslaw, Bruno Larrivée

Bibliographic record

VenueAnnals of Eye Science · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsVascular permeabilityIn vivoPharmacologySignal transductionEvans BlueMedicineDiabetes mellitusInternal medicineEndocrinologyCell biologyBiology

Abstract

fetched live from OpenAlex

Background: Sight-threatening diabetic macular edema (DME) is caused by increased microvascular permeability. While few direct vascular targeting strategies are available, VEGF pathway inhibition has shown to be effective in reducing retinal vascular leakage but is associated with non-negligible side effects. Thus, more options are needed. Vascular specific Activin-like kinase receptor type I (ALK1) pathway and its circulating ligand Bone morphogenetic protein-9 (BMP9) is known for its potent quiescent and stabilizing effect on the vasculature. However, little is known about this pathway in the context of microvascular permeability associated with diabetes. We hypothesize that BMP9/ALK1 pathway is inhibited in diabetic (DB) retinas leading to vascular destabilization and leakage and that its activation could re-establish proper vascular endothelial barrier functions (EBF). Methods: The effect of hyperglycemia (i.e., HG >10 mM of D-glucose) on Alk1 signaling was evaluated in vitro by subjecting endothelial cells (EC) to increasing concentrations of D-glucose (5, 11, 25 mM) and in vivo using DB mice (Streptozotocin-induced diabetes). The contribution of Alk1 signaling on EBF was evaluated using Evans Blue permeation in inducible endothelial specific Alk1 KO mice. To evaluate the potential protective effects of BMP9/Alk1 signaling on EBF, BMP9 overexpression was achieved using adenoviral delivery in DB mice. Statistical-One-Way ANOVA or Student’s t-test was used. Results: Endothelial tissue from DB mice showed a significant inhibition of BMP9/ALK1-canonical Smad1,5,8 quiescence signaling (DB n=5; CTL n=4; P<0.01), which was associated with reduced expression of target genes (JAG1, Id1,3, Hey1,2 & HES). Moreover, we showed that retinal hyperpermeability associated with diabetes was exacerbated in Alk1 heterozygote mice (n=4–9/group; P<0.0001). Finally, we demonstrated that activation of Alk1 signaling in ECs prevented vascular permeability induced by HG, both in vitro (n=3; P=0.009) and in vivo (n=4–9/group; P<0.0001). Conclusions: Consistent with our hypothesis, vascular stability and quiescence induced by BMP9-ALK1 signaling is inhibited in the DB/HG endothelium which could be an important factor in vascular leakage leading to DME. Our results show that activation of this pathway could offer a therapeutically interesting future option to slow down the onset of DME.

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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.090
GPT teacher head0.410
Teacher spread0.320 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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