PS-B01-7: VASCULAR SMOOTH MUSCLE CELL NOX5 REGULATES FIBROBLAST PHENOTYPIC SWITCH AND CARDIOVASCULAR FIBROSIS
Bibliographic record
Abstract
Objective: We previously observed that mice expressing human Nox5 (hNox5) in VSMC exhibit vascular dysfunction and cardio-renal fibrosis, where mechanisms are unknown. Here we postulated that VSMC-Nox5 promotes fibroblast phenotypic changes leading to myofibroblast differentiation and pro-fibrotic responses. Design and Methods: Fibroblasts were cultured from wildtype (WT) and hNOX5 mice (Nox5 + SM22 +). Mice (20 weeks old) were infused with Ang II (600 ng/Kg/day) for 28 days and renal fibrosis/inflammation studied. Markers of myofibroblasts, pro-fibrotic and inflammatory phenotypes were assessed by qPCR and immunoblotting. Results: Fibroblasts from Nox5 + SM22 + mice exhibited increased mRNA of pro-fibrotic markers, such as Col1A1 (2-ddC:1.74 ± 0.16 vs. WT 0.67 ± 0.11), Col3A1 (2-ddC:1.74 ± 0.18 vs. WT 0.96 ± 0.24) and TIMP3 (2-ddC:2.65 ± 0.25 vs. WT 0.38 ± 0.07), p < 0.05. Myofibroblast phenotype (SMC) markers mRNA, aSMA (2-ddC:1.54 ± 0.05 vs. WT 0.78 ± 0.17) and Myocd (2-ddC:1.36 ± 0.17 vs. WT 0.39 ± 0.22) were also increased, p < 0.05. mRNA expression of CD36 (2-ddC:1.37 ± 0.07 vs. WT 86 ± 0.24), TNFa (2-ddC:1.32 ± 0.2 vs. WT 0.71 ± 0.17) and TNFR1 (2-ddC:1.26 ± 0.04 vs. WT 1.02 ± 0.10) were increased, while CD68 expression was decreased (2-ddC:0.82 ± 0.11 vs. WT 1.36 ± 0.18) in fibroblasts from Nox5+SM22+ mice (p < 0.05). In Nox5 mice fibroblasts, ROS production and TGFb protein expression (AU:1.8 ± 0.05 vs. WT 1.4 ± 0.06), as well as TGFbR2 gene expression (2-ddC:2.04 ± 0.17 vs. WT 0.57 ± 0.12), were increased (p < 0.05). Kidneys from Ang II-infused Nox5+SM22+ mice exhibited significant perivascular fibrosis and inflammatory cell infiltration compared to WT. Kidney expression of vimentin (AU:1.01 ± 0.05 vs WT 0.85 ± 0.03) and aSMA (AU:0.44 ± 0.03 vs WT 0.33 ± 0.01), markers of myofibroblast differentiation, were increased in Nox5 mice (p < 0.05). Gene expression of DNMT3a and TET2, DNA methylation regulatory enzymes, were also increased in fibroblasts from Nox5+SM22+ mice, p < 0.05. Conclusion: VSMC-Nox5 regulates fibroblast phenotypic switch leading to fibrosis; a process that may involve increased production of ROS and TGFb, and activation of DNA methylation pathways.
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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) | 0.005 | 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".