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Tetrahydrobiopterin Prevents Coronary Artery Malformations Induced by Pregestational Diabetes

2018· article· en· W3176755441 on OpenAlexaffabout
Anish Engineer, Yong Jin Lim, Xiangru Lu, Qingping Feng

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsLawson Health Research InstituteWestern University
Fundersnot available
KeywordsEnosTetrahydrobiopterinInternal medicineMedicineEndocrinologyDiabetes mellitusOxidative stressArteryCardiologyNitric oxideNitric oxide synthase

Abstract

fetched live from OpenAlex

The heart is the first functional organ to form during embryogenesis. Coronary artery development in the heart begins at embryonic day (E)9.5 and involves coordinated epithelial to mesenchymal transition (EMT) and cell differentiation, which form a complete coronary artery network by E15 in the mouse. Alterations in angiogenic gene expression, cell migration or proliferation can have implications on vasculature and heart function, as seen during diabetic embryopathy. Hyperglycemia‐induced oxidative stress can lead to the inactivation of endothelial nitric oxide synthase (eNOS), vital for heart development. Tetrahydrobiopterin (BH4), an antioxidant, is the co‐factor for eNOS, and when oxidized leads to eNOS deactivation, further increasing the oxidative environment. Treatment with BH4 has been shown to improve vascular endothelial function in diabetes. This study aims to investigate the effect of BH4 on embryonic coronary artery development during pregestational maternal diabetes. Diabetes was induced by streptozotocin (STZ, 50 mg/kg, IPx5) to adult female C57BL/6 mice. BH4 (10 mg/kg/day) was orally administered to pregnant mice. Fetal hearts were collected at E18.5 for coronary artery analysis and 3D reconstruction. Markers of EMT and oxidative stress were examined at E12.5 via immunostaining and qPCR. Immunoblotting was used to determine activity of Akt and eNOS. Marked decreases in coronary artery diameter of both the left and right main branches for the coronary tree were found in hearts from diabetic mothers, which were prevented with BH4 administration. Coronary artery abundance and volume were also decreased in diabetic hearts, and recovered to normal levels with BH4 treatment. A normal branching pattern of the vessels was abolished in hearts from diabetic mothers, and returned to normal with BH4. Notably, BH4 treatment to diabetic dams significantly decreased the incidence of CAMs in their offspring from 47.4 to 23.3%. The expression of molecular regulators of angiogenesis such as Snail1 , β‐Catenin , bFGF , Aldh1a2 were decreased with maternal diabetes and reestablished with BH4 supplementation. Additionally, more cell to cell connections, measured through E‐cadherin expression, were found in diabetic hearts and returned to control levels with BH4. The epicardium of hearts from diabetic dams exhibited decreased proliferation and expression of WT1, which were both normalized with BH4 treatment. Furthermore, Akt and eNOS activity, assessed through phosphorylation of both enzymes, was reduced in embryonic hearts from diabetic dams, and was returned to basal levels with BH4 treatment. Finally, oxidative stress, in the form of lipid peroxidation was significantly increased in diabetic hearts and reduced with BH4. BH4 treatment prevents CAMs induced by pregestational diabetes. The importance of BH4‐mediated increase in Akt/eNOS activity and reduction in oxidative stress during cardiac angiogenesis provides insight into factors contributing to CAMs. The therapeutic potential of BH4 during gestation can be extrapolated through these studies. Support or Funding Information This study was funding in parts by grants from the Canadian Institutes of Health Research (CIHR) to Q.F. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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