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Mice knockdown for angiopoietin‐like 2 spontaneously develop aortic valve stenosis

2019· article· en· W3176405235 on OpenAlexafffundabout
Pauline Labbé, Yanfen Shi, Louis Villeneuve, Maya Mamarbachi, Mélanie Mecteau, Nathalie Thorin‐Trescases, Jean‐Claude Tardif, Éric Thorin

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsMontreal Heart Institute
FundersCanadian Institutes of Health Research
KeywordsMedicineAortic valveInternal medicineFibrosisCardiologyStenosisMasson's trichrome stainWestern blotCalcificationChemistryBiochemistry

Abstract

fetched live from OpenAlex

Introduction High circulating levels of angiopoietin‐like 2 (ANGPTL2), a pro‐inflammatory protein that plays a role in tissue remodelling, are associated with carotid wall thickening, great artery stiffening, coronary artery disease and heart failure. ANGPTL2 is therefore considered as a predictive marker of cardiovascular diseases. Cardiac valve leaflet thickening and calcification lead to aortic valve stenosis (AVS), the most common valve disease for which there is currently no effective pharmacological treatment. Whether ANGPTL2 regulates aortic valve (AoV) structure and function is unknown. Our aim was to investigate the consequences of knockdown (KD) of ANGPTL2 on AoV structure, function and related molecular pathways in mice. Hypothesis ANGPTL2‐KD is beneficial to the cardiovascular system and prevents age‐related aortic valve leaflet thickening and dysfunction. Methods All the experiments were performed in ANGPTL2‐KD mice and wild‐type (WT) littermates of both sexes. The AoV function was explored by high frequency echocardiography. The AoV leaflet fibrosis was assessed in cardiac histological sections stained with Masson's Trichrome. Gene and protein expressions were determined by quantitative RT‐PCR in dissected fresh AoV leaflets and by immunofluorescence in cardiac histological sections, respectively. ANGPTL2 protein expression was measured by Western Blot in valve interstitial cells (VICs) cultured from AoV of WT mice. Results Contrary to our hypothesis, echocardiography evaluation of AoV function revealed that in young (2‐month old, mo) ANGPTL2‐KD mice (5 males and 5 females), 8/10 had severe AVS characterised by a ~50% reduction in valve area (p<0.001) and by thickened AoV leaflets (193±60 vs . 140±40 μm, p<0.01) compared to WT mice. The severity of the AVS was similar among male and female mice and did not worsen in adult mice (7‐mo). Surprisingly, at 2‐mo, KD of ANGPTL2 induced AoV leaflet fibrosis in female mice (+47%, n≥4, p<0.05) but not in males (+5%, n=3). Analysis of gene expression in freshly isolated AoV leaflets showed an increase (+130%) of the pro‐calcifying gene bmp2 , and a decrease (−38%) of notch1 signalling – known to participate to the structural development and homeostasis of AoV leaflets – including its downstream targets hey1 and hey2 (−60% and −43%, respectively; p<0.05 vs . WT). The reduction of activated‐Notch1 expression in AoV leaflets was also observed at the protein level (−28%, n=6, p<0.05). We also confirmed that ANGPTL2 is expressed in VICs from WT mice. Conclusion Our data reveal for the first time that KD of ANGPTL2 is deleterious to AoV structure by activating the calcification‐related gene bmp2 and repressing the key Notch1 pathway, leading to severe valvular disease in mice. This new mouse model of spontaneous AVS could lead to a better understanding of the molecular events that trigger its onset. Support or Funding Information This work was funded by grants from the Canadian Institutes of Health Research (MOP 133649) and by the Foundation of the Montreal Heart Institute. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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
Published2019
Admission routes3
Has abstractyes

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