Angiotensin-Converting Enzyme 2 Is a Critical Determinant of Angiotensin II–Induced Loss of Vascular Smooth Muscle Cells and Adverse Vascular Remodeling
Bibliographic record
Abstract
Angiotensin-converting enzyme (ACE) 2 is a key negative regulator of the renin-angiotensin system and metabolizes angiotensin II (Ang II) into Ang 1 to 7. Ang II is a vasoactive peptide, which plays an important role in vascular disease. The objective of the present study was to define the role of ACE2 in pathological vascular remodeling. We found upregulation of ACE2 in dilated human aorta with bicuspid aortic valve and in murine aorta in response to Ang II. Ex vivo pressure myography showed increased vascular stiffness in ACE2 knockout (KO) mesenteric arteries in response to Ang II (1.5 mg/kg per day) and with aging. Histological analyses revealed reduced media-to-lumen ratio in ACE2KO mesenteric arteries with loss of vascular smooth muscle cells. Aortic vascular smooth muscle cells from ACE2KO mice showed markedly increased reactive oxygen species and apoptosis in response to Ang II along with increased cleaved caspase-3 and cleaved caspase-8 levels in the ACE2KO aorta. Ang II type 1 receptor blockade and Ang 1 to 7 supplementation prevented the increase in Ang II-induced reactive oxygen species and apoptotic cell death. In the aorta, Ang II resulted in thoracic and abdominal aortic dilation with loss of vascular smooth muscle cell density in ACE2KO aorta as revealed by α-smooth muscle actin, calponin staining, and electron microscopy with increased promatrix metalloproteinase 2, matrix metalloproteinase 2, and matrix metalloproteinase 9 levels. ACE2 is upregulated in vascular diseases, and ACE2 deficiency exacerbates Ang II-mediated vascular remodeling driven by increased reactive oxygen species and vascular smooth muscle cell apoptosis. In conclusion, the key counter-regulatory role of ACE2 against an activated renin-angiotensin system provides novel insights into the role of ACE2 in vascular diseases.
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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 | 0.001 |
| 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".