Abstract 62: Notch3 and the Vascular-Adipose Interactome in the Regulation of Adiponectin and Vascular Contraction
Bibliographic record
Abstract
Notch3, a cell-cell interaction receptor expressed in VSMCs, is important in vascular function. Notch3 mutations cause CADASIL and aberrant Notch3 signaling is associated with vascular dysfunction/remodeling of resistance arteries, similar to the vascular phenotype in hypertension. Recent evidence suggests that Notch receptors, including Notch3, also play a role in adipose biology. Based on our previous findings that aberrant Notch3 signaling leads to vascular injury, and that perivascular adipose tissue influences vascular function we investigated a potential role for Notch3 in the vascular-adipose interactome. We characterized adipose tissue (AT) [brown AT (BAT) and white AT (WAT)] and vascular function in mice overexpressing Notch3 (N3) and in mice harboring the R169C gain of function Notch3 mutation (RC). We evaluated expression of Notch3, and its target transcription factors, BAT markers (UCP-1, OTOP-1), and production of adiponectin and IL-6. Isolated arteries from control mice were exposed to BAT conditioned medium (CM) and vascular function assessed by myography. We did not observe any changes in body weight, but BAT (N3: 115.4±7.1; RC: 115.3±8.2; WT: 154±12.1 mg, p<0.05) and WAT (N3: 309.7±39; RC: 370.4±41; WT: 618.1±73 mg, p<0.05) were decreased in N3 and RC mice. Expression of Notch3 target genes (Heyl, Hes5) was increased in BAT from N3 and RC mice. This was associated with increased production of adiponectin (N3: 25.1±0.4; RC: 25.8±0.6; WT: 23.6±0.4 pg/µg of tissue, p<0.05) and IL-6 (N3: 45.3±5.6; RC: 51.6±5.1; WT: 33.7±2.1 pg/µg of tissue, p<0.05) (by ELISA). UCP-1 expression was increased in WAT from Notch3 mice versus wildtype. Vascular contraction to U46619 was reduced by BAT CM from WT mice (EMax: 158.5±9.7% vs control 183.6±6%). This effect was enhanced with BAT CM from Notch3 (N3 and RC) mice. WAT CM from N3 and RC mice reduced vascular sensitivity to contraction (logEC50: N3=7.2±0.17M; RC=7.2±0.1M; WT: 7.7±0.1M, p<0.05). In summary, at the molecular level, Notch3 regulates adipose tissue, with increased production of adiponectin in BAT and increased expression of browning markers in WAT. Functionally BAT from Notch3 mice attenuates vasoconstriction in WT mice. Our data suggest a putative role for Notch3 in the vasoprotective effects of BAT. These novel findings suggest an important role for Notch3 in the vascular:adipose interactome. Notch3 activation may influence vascular function, in part, by regulating perivascular BAT/WAT.
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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) | 0.004 | 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".