Human Recombinant Leptin Shows Dose and Time-Dependent Release of Nitric Oxide from Endothelial Nitric Oxide Synthase in Endothelium While on Angiogenesis
Bibliographic record
Abstract
Abstract Nitric Oxide (NO) modulates various assortments of the angiogenic process. The endogenous hormone leptin is able to induce different physiological process such as angiogenesis at low concentration because of its high receptor specific affinity. Various studies speculated leptin’s ability to induce endothelium‐dependent vascular relaxation by stimulating NO through different signaling pathways. So far, no studies have reported the dose and time dependent potential of human recombinant leptin on NO release. Hence, an attempt has been made to understand the optimal concentration and time of incubation of human recombinant leptin for the enzymatic release of NO from endothelial Nitric Oxide Synthase (eNOS). Leptin induced changes in the localization and phosphorylation pattern of eNOS in cultured endothelium under various concentrations and time of incubation is studied. The 5 Nanomolar concentration of human recombinant leptin within 6 minutes of incubation could induce significant levels of NO from the activated eNOS in cultured endothelium through plasma membrane localization and phosphorylation of eNOS. Our findings suggest that human recombinant leptin can modulate NO-dependent new therapeutic avenue for angiogenesis-related disorders such as wound healing if used within the active concentration and time of incubation.
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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".