MCPIP1 deficiency alleviates abdominal aortic aneurysm formation by inhibiting MAPK signaling
Bibliographic record
Abstract
Abdominal aortic aneurysm (AAA) is a chronic and severe aortic disease. Our previous studies have indicated that monocyte chemotactic protein-induced protein-1 (MCPIP1) is involved in AAA. However, the exact effect of MCPIP1 on angiotensin II (Ang II)-induced AAA formation is currently unknown. MCPIP1 deficiency reduced AAA formation in Ang II-induced mice. Less collagen and elastin degradation were observed in MCPIP1-deficient mice treated with Ang II. Ang II decreased αSMA and SM22α levels in aortas and vascular smooth muscle cells (VSMCs), whereas MCPIP1 deficiency reduced this decrease. MCPIP1 deficiency also attenuated Ang II-induced expression of MAPK signaling-associated proteins in aortas and VSMCs. Silencing MCPIP1 decreased proliferation and migration in Ang II-induced VSMCs. Furthermore, inactivation of ERK1/2 with PD98059 reduced Ang II-induced proliferation and migration of VSMCs. Dual luciferase and chromatin immunoprecipitation assay results confirmed that MCPIP1 was transcriptionally regulated by KLF4. KLF4 knockdown reversed the facilitating effect of Ang II on MCPIP1 expression. In conclusion, our findings suggest that MCPIP1 promotes Ang II-induced VSMCs phenotypic switching via the MAPK signaling pathway.
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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) | 0.001 | 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) | 0.002 | 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".