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Abstract 13844: Microrna-126 and Microrna-132 Abrogates Deleterious Effects of Diabetes-induced Impaired Angiogenesis

2015· article· en· W2887138797 on OpenAlexaff
Shruti Rawal, Emani Munasinghe, Patrick Manning, Rajesh Katare

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsManning Diversified Forest Products (Canada)
Fundersnot available
KeywordsMedicinemicroRNAAngiogenesisDiabetes mellitusCancer researchEndocrinologyGeneticsGene

Abstract

fetched live from OpenAlex

Background: Diabetes-induced microvascular abnormalities are implicated in altering cardiac function and structure, a condition referred as diabetic microangiopathy in heart (DMAH). Endothelial-enriched microRNAs (angiomiRs) have been recently demonstrated to play a major role in regulating angiogenesis. However, their pathophysiological role in development of DMAH is elusive. Objective: To investigate the modulation of angiomiRs (miR-126, miR-132) with evolution of DMAH and demonstrate if restoration of angiomiRs can improve functional properties of high glucose treated endothelial cells. Methods & Results: Cardiac tissues were collected from type-2 diabetic mice (BKS.Cg-m+/+Leprdb/J) every 4Wks, from 8 to 32Wks of age. qPCR revealed significant downregulation of miR-126 and -132 starting at 12Wks and continued till 32Wks (miR-126: 0.30±0.03; miR-132: 0.22±0.05,p<0.001 vs. age matched non-diabetic). This was associated with concomitant dysfunction of cardiac functions (assessed through echocardiography). Western blotting analysis confirmed marked dysregulation of VEGF and p120RasGap (P<0.05 vs. non-diabetic), the target proteins for miR-126 and -132, respectively. Importantly, immunohistochemical analysis did not show any noticeable changes in capillary density and arterioles until 20Wks in diabetes. To determine if restoration of miR-126 and -132 could reduce the development of DMAH, high glucose (HG)-treated Human Umbilical Vein Endothelial Cells (HUVECs) were transfected with either miR-126 or -132 mimics. Results showed that restoration of both the miRs markedly improved angiogenesis, assessed by tube formation assay (NG-Control- 8824±212; HG-Control: 3570±304; HG-126: 8970±184; HG-132: 7227±228), proliferation (CyQUANT cell proliferation assay) and reduced cell death (caspase-3/7 assay), p<0.05 for all the parameters. Of note, overexpression of miR-126 alone tends to restore the expression of miR-132 and vice versa in HG-treated HUVECs, suggesting an orchestrated role of miRs in regulating angiogenesis. Conclusion: Modulation of miRs occur much earlier before the development of DMAH and restoration of DMAH from early stages in HUVECs exposed to high glucose markedly improved their angiogenic potential.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.246
Teacher spread0.231 · 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
Published2015
Admission routes1
Has abstractyes

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