Role of Histone Deacetylases 5 (HDAC5) in Ang II‐Induced the Early Growth Response Protein‐1 (Egr‐1) Expression and Vascular Hypertrophy
Bibliographic record
Abstract
Angiotensin II (Ang II), a key vasoactive peptide, is known to play an important role in the pathophysiology of vascular diseases. A heightened activation of Ang II‐induced signaling pathways that promote proliferation, hypertrophy and migration of vascular smooth muscle cells (VSMCs) has been suggested to contribute to vascular dysfunctions. We have shown earlier that Ang II enhances the expression of early growth response protein‐1 (Egr‐1), a zinc transcription factor, which is upregulated in animal models of vascular diseases. Histone deacetylases (HDACs) remove acetyl groups of lysine residues from histone and non‐histone proteins and elevated activation of class IIa HDACs is reported in several vascular pathologies. Recent studies have demonstrated that the phosphorylation and the nuclear export of HDAC5, a member of class IIa HDACs, is associated with vascular remodeling through their ability to interact with transcription factors linked to cell proliferation, migration and hypertrophy. However, the involvement of HDAC5 in Ang II‐induced Egr‐1 expression remain unexplored. Here, we showed that the specific pharmacological inhibition of class IIa HDACs by MC1568 or TMP‐195 as well as siRNA‐mediated silencing of HDAC5 attenuated Ang II induced Egr‐1 expression in VSMCs. In addition, the blockade of the nuclear export of HDAC5 by using nuclear transport inhibitors leptomycin B or KPT‐330 decreased Ang II‐induced Egr‐1 expression. We also demonstrated that siRNA‐induced silencing of HDAC5 or Egr‐1 prevented VSMC hypertrophy in response to Ang II stimulation. In summary, our results show that Ang II‐induced Egr‐1 expression is regulated by the activation of HDAC5 and Ang II‐induced cell hypertrophy is mediated by HDAC5 and Egr‐1. Support or Funding Information Supported by the Canadian Institutes of Health Research
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".