Icariside II: natural occurrence, biotransformation, pharmacological activity, synthetic modification, pharmacokinetics, and bioavailability
Bibliographic record
Abstract
OBJECTIVES: Icariside II (ICS-II), a flavone containing 3-rhamnopyranosyl and 8-prenyl groups, is one of the main natural compounds found in Epimedum species (the family Berberidaceae). The current study aims to provide a systematic review of its natural occurrence, pharmacological value, synthetic modification, pharmacokinetics, and bioavailability. KEY FINDINGS: Sources such as Google Scholar, Web of Science, PubMed, and journal websites were used to gather references about ICS-II. 'Icariside II' is the most meaningful keyword to seek references, and references have been updated till now. SUMMARY: ICS-II is a characteristic metabolite of various Epimedum plants, and it can be obtained by enzymatic hydrolysis of other flavonoids. It is a promising compound with multiple in vitro and in vivo pharmacological potentials. The studied flavone showed cancer-related biological activity via cell cycle arrest, proliferation inhibition, autophagy, and apoptosis and inhibited cytokines in anti-inflammatory actions. Significantly, the health benefits were accompanied by its role in antidiabetics, sexual reproduction, and protection against harmful effects on the heart, brain, bones, lungs, kidneys, livers, and eyes. Molecular mechanisms of action were deduced from various signaling pathways, such as Akt/NOS/NF-κB, JAK/STAT3/MAPK, and PI3K/Akt/mTOR. Pharmacokinetic evidence involved sugar and methyl removals, hydroxylation, glucuronidation, and glycosylation.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".