Safety assessment of a solid lipid curcumin particle preparation: In vitro and in vivo genotoxicity studies
Bibliographic record
Abstract
Curcumin, one of the three principal curcuminoids found within turmeric rhizomes, has long been associated with numerous physiologically beneficial effects; however, its efficacy is limited by its inherently low bioavailability. Several novel formulations of curcumin extracts have been prepared in recent years to increase the systemic availability of curcumin; Longvida®, a solid lipid curcumin particle preparation, is one such formulation that has shown enhanced bioavailability compared with standard curcuminoid extracts. As part of a safety assessment of Longvida® for use as a food ingredient, a bacterial reverse mutation test (OECD TG 471) and mammalian cell erythrocyte micronucleus test (OECD TG 474) were conducted to assess its genotoxic potential. In the bacterial reverse mutation test, Longvida® did not induce base-pair or frame-shift mutations at the histidine locus in the genome of Salmonella typhimurium strains TA98, TA100, TA102, TA1535, and TA1537, in the presence or absence of exogenous metabolic activation. Additionally, two gavage doses (24 h apart) of Longvida® to Swiss albino mice at 500, 1000, or 2000-mg/kg body weight/day did not cause structural or numerical chromosomal damage in somatic cells in the mammalian erythrocyte micronucleus test. It was therefore concluded that Longvida® is non-genotoxic.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".