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Compartmentalized Regulation of Vascular Endothelial Cell Responses to Fluid Shear Stress by Phosphodiesterase 4D7 (PDE4D7)

2017· article· en· W3178554101 on OpenAlexafffund
Jonah Burke‐Kleinman, Sarah Rampersad, Jodi Mackeil, Paulina Brzezińska, Donald H. Maurice

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicApelin-related biomedical research
Canadian institutionsQueen's University
FundersCanadian Institutes of Health Research
KeywordsGene knockdownCell biologyAdherens junctionRap1ChemistryPhosphodiesteraseBiophysicsBiologyCellSignal transductionBiochemistryCadherin

Abstract

fetched live from OpenAlex

While fast flowing blood in linear arterial segments exposes arterial vascular endothelial cells (VECs) to high levels of laminar fluid shear stress (FSS, 15–20 dyne/cm 2 ), slow or oscillatory blood flow, such as is present at arterial bifurcations, exposes VECs to modest levels of non‐linear FSS (1–3 dyne/cm 2 ). These hemodynamic features make arterial bifurcations, arches and branch points especially prone to atherosclerosis. Exposing VECs to high laminar FSS promotes establishment of an adaptive (anti‐thrombotic, anti‐atherogenic and barrier forming) phenotype, an effect that is reversed following exposure of these cells to low / non‐linear levels of FSS. Previously we reported that a cAMP‐signalosome, composed of exchange protein activated by cAMP1 (EPAC1), Rap1 and a phosphodiesterase 4D (PDE4D) allowed cAMP to promote barrier functions in static VEC cultures. This signalosome was shown to associate with components of VEC adherens junctions, including VE‐cadherin (VECAD) and β‐catenin. Recently, we reported that activation of this same AJ‐associated signalosome allowed cAMP, via EPAC1‐mediated activation of Rap1, to promote expression of an adaptive phenotype even in VECs exposed to low levels of FSS. Indeed, siRNA‐mediated knockdown of EPAC1, Rap1 or PDE4D reduced the adaptive responses of VECs exposed to FSS and increased their pro‐thrombotic and pro‐angiogenic potential. Interestingly, PDE4D knockdown reduced responses in these cells to levels equivalent to those detected in cells in which EPAC1 was knocked down. We reported that this effect was due to the fact that PDE4D acts as a tether to localize EPAC1 within this important cAMP‐signalosome. Recently we identified phosphodiesterase 4D7 (PDE4D7) as the PDE4D variant that populates this VEC cAMP‐signalosome. Notably, VEC alignment in the direction of flow was reduced by knockdown of either pan‐PDE4D, selective PDE4D7 or EPAC1 when subjected to low FSS. Both Pan‐PDE4D or selective PDE4D7 siRNA‐mediated knockdown markedly reduced the ability of VECs to respond adaptively to FSS, and promoted loss of EPAC1 from the cAMP‐signalosome. In contrast, PDE4 inhibitors only modestly altered these responses in VECs exposed to various levels of FSS. These findings, together with our earlier work, are consistent with the idea that the tethering actions of PDE4D7 are dominant in this complex in VECs. Using telomerase‐immortalized human aortic endothelial cells, we created a cell‐based system in which the separate catalytic and tethering actions of PDE4D7 in controlling VEC responses to FSS could be measured. Overall, our findings are consistent with the novel idea that the EPAC1 tethering function of PDE4D7 is dominant in regulating EPAC1/Rap1‐mediated effects in VECs and that the cAMP hydrolytic function of PDE4D7 has a hyperlocalized impact within the AJ‐delimited nanodomain. Our findings pave the way for the development of displacing peptide (DP)‐based tools through which to regulate cAMP‐mediated function in VECs exposed to mal‐adaptive levels of FSS. Support or Funding Information Funding provided by the CIHR.

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)0.001
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 score0.049
Threshold uncertainty score0.943

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.330
Teacher spread0.300 · 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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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