Phytochemical Components, Hindering Abilities on Cell Proliferation, Cell Migration and Three-Dimensional Spheroids’ Formation Capacity of Micromeria fruticosa Infusion
Bibliographic record
Abstract
Objectives The objective of this study was to investigate the potential anti-cancer effects of Micromeria fruticosa plant infusion on uterine cervix cancer cells, aiming to explore its potential as an alternative or supportive therapeutic approach to conventional treatments. Methods Micromeria fruticosa plant infusion was prepared and administered to uterine cervix cancer cells in vitro. Various assays were conducted to assess its impact on cell migration, proliferation, and tumorigenicity. Additionally, the phytochemical composition of the infusion was analyzed by using LC-MS to identify major functional compounds. Results The study revealed that Micromeria fruticosa plant infusion exhibited significant anti-migratory, anti-proliferative, and anti-tumorigenic effects on uterine cervix cancer cells. Analysis of the infusion identified several major functional phytochemicals, which likely contribute to its anticancer properties. Conclusion This research suggests that Micromeria fruticosa plant infusion possesses promising anti-cancer properties against uterine cervix cancer cells. The identified phytochemicals present in the infusion highlight its potential as a source of functional ingredients with anticancer effects. These findings support further exploration of Micromeria fruticosa as a potential therapeutic agent in both nutraceutical and pharmaceutical applications, offering new avenues for the development of alternative or supportive treatments for cervical cancer.
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 | 0.001 |
| 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".