BRISC-Mediated PPM1B-K63 Deubiquitination and Subsequent TGF-β Pathway Activation Promote High-Fat/High-Sucrose Diet–Induced Arterial Stiffness
Bibliographic record
Abstract
BACKGROUND: Metabolic syndrome heightens cardiovascular disease risk primarily through increased arterial stiffness. We previously demonstrated the involvement of YAP (Yes-associated protein) in high-fat/high-sucrose diet (HFHSD)–induced arterial stiffness via modulation of PPM1B (protein phosphatase Mg 2+ /Mn 2+ –dependent 1B)-lysine 63(K63) deubiquitination. In this study, we aimed to elucidate the role and mechanisms underlying PPM1B deubiquitination in HFHSD-induced arterial stiffness. METHODS: Enzymes governing PPM1B deubiquitination were identified through small interfering RNA (siRNA) screening and mass spectrometry. Glutathione S-transferase pull-down, coimmunoprecipitation, protein purification, and immunofluorescence were used to explore the mechanism underlying PPM1B deubiquitination. Doppler ultrasound was used to evaluate HFHSD-induced arterial stiffness in mice, and telemetry was used to record pulsatile (systolic and diastolic) blood pressure. RESULTS: Smooth muscle cell–specific PPM1B overexpression attenuated HFHSD-induced arterial stiffness in mice in a PPM1B-K326-K63–linked polyubiquitination-dependent manner. Mechanistically, ABRO1 (Abraxas brother 1; a core BRCC36 [BRCA1/BRCA2 (breast cancer type 1/2)–containing complex subunit 36] isopeptidase complex component) directly bound YAP and underwent liquid-liquid phase separation with YAP and PPM1B in a YAP-dependent manner, which in turn promoted PPM1B deubiquitination. Furthermore, smooth muscle cell–specific Abro1 -knockout mice and Brcc3 -knockout mice showed attenuated HFHSD-induced arterial stiffness and activation of transforming growth factor-β–Smad (mothers against decapentaplegic homolog) signaling. CONCLUSIONS: We elucidated the PPM1B deubiquitination mechanisms and highlighted a potential therapeutic target for metabolic syndrome–related arterial stiffness.
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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) | 0.003 | 0.001 |
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.
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".