Pre–B-Cell Colony–Enhancing Factor Regulates NAD <sup>+</sup> -Dependent Protein Deacetylase Activity and Promotes Vascular Smooth Muscle Cell Maturation
Bibliographic record
Abstract
Conversion of vascular smooth muscle cells (SMCs) from a proliferative state to a nonproliferative, contractile state confers vasomotor function to developing and remodeling blood vessels. Using a maturation-competent human SMC line, we determined that this shift in phenotype was accompanied by upregulation of pre-B-cell colony-enhancing factor (PBEF), a protein proposed to be a cytokine. Knockdown of endogenous PBEF increased SMC apoptosis and reduced the capacity of synthetic SMCs to mature to a contractile state. In keeping with these findings, human SMCs transduced with the PBEF gene had enhanced survival, an elongated bipolar morphology, and increased levels of h-caldesmon, smoothelin-A, smoothelin-B, and metavinculin. Notwithstanding some prior reports, PBEF did not have attributes of a cytokine but instead imparted the cell with increased nicotinamide phosphoribosyltransferase activity. Intracellular nicotinamide adenine dinucleotide (NAD+) content was increased in PBEF-overexpressing SMCs and decreased in PBEF-knockdown SMCs. Furthermore, NAD+-dependent protein deacetylase activity was found to be essential for SMC maturation and was increased by PBEF. Xenotransplantation of human SMCs into immunodeficient mice revealed an increased capacity for PBEF-overexpressing SMCs to mature and intimately invest nascent endothelial channels. This microvessel chimerism and maturation process was perturbed when SMC PBEF expression was lowered. These findings identify PBEF as a regulator of NAD+-dependent reactions in SMCs, reactions that promote, among other potential processes, the acquisition of a mature SMC phenotype.
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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".