Chemical Composition and Medicinal Value of the New Ganoderma tsugae var. jannieae CBS-120304 Medicinal Higher Basidiomycete Mushroom
Bibliographic record
Abstract
In this research, the chemical composition and anticancer and antioxidant activity of the new medicinal mushroom Ganoderma tsugae var. jannieae CBS-120304 were evaluated. The chemical composition assay includes amounts of total carbohydrates and proteins, amino acids, fatty acids, micro- and macroelements, and vitamins. The investigated medicinal mushroom seemed to be a rich source of nutritional components. Mycelium accumulated more than 2-fold more total protein compared with the fruiting body and reached 37% and 16% of dry weight, respectively. Carbohydrate content in the fruiting body seemed to be conspicuously higher than in the mycelium (50% of dry weight) and reached 80% of dry weight. Quantification of the identified fatty acids indicated that, in general, palmitic acid, oleic acid, and linoleic acid were the major fatty acids. Toxic elements, such as silver, arsenic, cadmium, and mercury, were found only in trace amounts in mycelium and were not detected in the fruiting body. Furthermore, the 1,1-diphenyl-2-picrylhydrazyl free radical scavenging assay was used to evaluate antioxidant activity. The highest radical scavenging activity was 9.0 mg/mL (65.9%) by ethanol extract. In addition, mycelial extracts were tested to inhibit MCF7 breast cancer cells. Ganoderma tsugae var. jannieae ethyl acetate extract (GTEAE) extract showed high potential by inhibiting reporter activity by more than 70%. Results demonstrated that GTEAE had a strong effect on inhibitory protein κΒα level in the higher concentration used (200 gg/mL), which could be compared with the effect of parthenolide. Furthermore, GTEAE demonstrated strong inhibition of IκΒα phosphorylation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".