Anti-adipogenic Activities of<i>Alnus incana</i>and<i>Populus balsamifera</i>Bark Extracts, Part II: Bioassay-guided Identification of Actives Salicortin and Oregonin
Bibliographic record
Abstract
Among modern day metabolic diseases, obesity has reached epidemic proportions worldwide and novel therapeutic support strategies are urgently needed. Adipocytes are interesting targets in this context. Using ethnobotanical and bioassay screening techniques, we have identified two Boreal Forest plants used by the James Bay Cree that potently inhibit adipogenesis, namely ALNUS INCANA ssp. RUGOSA (Speckled Alder) and POPULUS BALSAMIFERA (Balsam Poplar). The mode of action of this inhibitory activity was reported in a companion paper. The current study report the results of a classical bioassay-guided fractionation approach aimed at identifying the active principles responsible for the inhibition of adipogenesis, as measured using triglyceride accumulation in the 3T3-L1 adipocyte model cell line. The glycosides oregonin and salicortin were isolated and identified as the respective active principles for ALNUS INCANA and POPULUS BALSAMIFERA. These compounds thus offer promise as novel agents to mitigate the incidence or the progression of obesity.
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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".