Effect of Intracellular and Extracellular Mushroom Polysaccharides on Growth Inhibition of Human Carcinoma Cell Lines
Bibliographic record
Abstract
Introduction: Mushroom polysaccharides play an important role in nutraceutical and functional food because they act as biological active modifiers. The aim of the present work involved the production, purification and partial characterization of intracellular (IPS) and extracellular polysaccharides (EPS) from several basidiomycete strains. Such polysaccharides were used to investigate their effect on growth of human carcinoma cell lines. Methods: Mushroom polysaccharides were produced from several basidiomycete strains by submerged and solid state fermentations, assayed for superoxide radical scavenging activity, purified by gel filtration chromatography, analysed by FTIR and their effect on human carcinoma cell line was investigated by MTT method. Results: Mushroom polysaccharides have revealed scavenging activity in the range of 22 - 81 % for Po (s) and Pe (2), respectively. FTIR analysis of polysaccharides showed absorption bands characteristics of these biological macromolecules. IPS inhibited cell growth of HeLa in the range of 16.8 - 27.01 % for Po (s) and Ga (1), respectively. EPS inhibited cell growth of HeLa, A459, A431 and OE21 in the ranges of 3.08 - 92.2 %, 13.8 - 97.4 %, 14.7 - 93. 8% and 25 - 94% for Il (1) and Ga (1), Gc (1) and Ga (1), Il (1) and Ga (1), Le (1) and Ga (1), respectively. Purified preparations of polysaccharides confirmed the growth inhibition of these biomolecules. Conclusion: The present results strongly suggest growth inhibition of human carcinoma cell lines by mushroom polysaccharides and it will require a future research to understand its molecular mechanism of action.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.000 | 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".