Effects of Antrodia Camphorata Mycelia Extract Containing Antroquinonol on Lowering Low-Density Lipoprotein Cholesterol: A Randomized Double-Blind Study
Bibliographic record
Abstract
Objective: Antrodia camphorata is a type of true fungus that grows only on Cinnamomum camphora trees, also known as Cinnamomum kanehirae (“kashi”) in Taiwan. Antroquinonol is a characteristic component of A. camphorata mycelia extract and was previously shown to exhibit antitumor action and lower blood cholesterol (total cholesterol and low-density lipoprotein [LDL] cholesterol) in cellular and animal models. So, This study examined the ability of A. camphorata mycelia extract to reduce LDL cholesterol in humans. Methods: We conducted a randomized double-blind trial in 26 subjects with either borderline LDL cholesterol (120–139 mg/dL; n = 11) or mildly elevated LDL cholesterol (140–159 mg/dL; n = 15). Participants ingested tablets containing either 25 mg of A. camphorata mycelia extract (antroquinonol: 0.68 mg; n = 14) or a placebo (n = 12) for 12 weeks. Results: The test group showed a significant reduction in LDL cholesterol when compared with the placebo group after 12 weeks of tablet ingestion (p < 0.05), demonstrating the effects of A. camphorata mycelia extract on LDL cholesterol. A. camphorata mycelia extract also tended to reduce total cholesterol when compared with the placebo (p < 0.10). The borderline LDL cholesterol and mildly elevated LDL cholesterol subgroups showed a significant reduction in LDL cholesterol in subjects who ingested A. camphorata mycelia extract compared with those who ingested the placebo, again demonstrating the LDL cholesterol-lowering effect of the extract. Conclusion: A. camphorata mycelia extract lowers LDL cholesterol in individuals with somewhat high LDL cholesterol levels. This clinical trial was registered with the University Hospital Medical Information Network (UMIN no. # 000019670).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".