Anti-adipogenic Activities of<i>Alnus incana</i>and<i>Populus balsamifera</i>Bark Extracts, Part I: Sites and Mechanisms of Action
Bibliographic record
Abstract
Obesity is an epidemic in most developed countries and novel therapeutic approaches are needed. In the course of a screening project of medicinal plants used by the Eastern James Bay Cree of Canada and having potential for the treatment of diabetes, we have identified several products that inhibit adipogenesis, suggesting potential antiobesity activities. The inhibitory activity of two of these, the extract of the inner bark of the deciduous trees Alnus incana ssp. rugosa (Speckled Alder) and Populus balsamifera L. (Balsam Poplar), was analyzed using the 3T3-L1 cell model of adipogenesis. Intracellular triglyceride accumulation, pre-adipocyte proliferation, and PPAR- γ activity were measured. Alnus incana extracts acted early in the differentiation process but did not affect clonal expansion of pre-adipocytes nor the morphological transformation from fibroblast-like to rounded fat-laden cells. Alnus incana extracts were found to act as partial agonists toward PPAR- γ activity. In contrast, Populus balsamifera extracts completely abrogated adipogenesis, severely limited clonal expansion of pre-adipocytes and generally maintained cells in an undifferentiated fibroblast-like morphology. Populus balsamifera extracts exerted antagonistic action against PPAR- γ activity. It is concluded that, through their actions on the adipocyte, these plant products may be useful for the treatment of obesity and related metabolic diseases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".