Preventive Action of Blue Lotus (Nymphaea Caerulea) Flower Extract against E. Coli-Induced Immune-Pathological Changes In Gallus gallus domesticus Embryo.
Bibliographic record
Abstract
Nymphaea caerulea is an aquatic plant originally found in the Nile River has several therapeutic activities - anti-depressant, anti-inflammatory, anti-oxidant, and anti-microbial activities. This led us to perform the study focusing on the anti-microbial properties of the flower extract. Crude ethanolic extract of petals and pollens of N. caerulea flower were prepared and its antimicrobial activity was checked against E. coli. The Minimum Inhibition Concentration value was determined showing that both the extracts had similar capability against both the strains, with MIC value of 0.39mg/ml and 0.78mg/ml MIC against E.coli ATCC and MDR strains respectively. Further studies were done to study the gross morphological changes and the genetic expression changes of IL-10 and IFN-γ in E. coli-infected Gallus gallus domesticus embryo models. From the results, it can be said that the extract has preventive effects that reduce haemorrhages of the embryos when infected with E. coli. Moreover, there was slight increase in the level of IL-10 cytokine gene expression indicating its anti-inflammatory action along with a higher increase in the IFN-γ cytokine gene expressions responsible for activating the host immunity. Thus, the findings indicate the probable potential role of N. caerulea flower extract to act as an antibacterial agent.
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".