Effect of the Cymbopogon citratus Infusion on the Activity of Acetylcholinesterase Enzyme and on the Redox Profile in Farmers’ Erythrocytes
Bibliographic record
Abstract
Agrochemicals were more prominent in 1960, marked due to the agricultural modernization process. As a result of this widespread use for food production, there was also an increase in cases of intoxication caused by these agents which made it necessary to search for alternative therapies for agricultural workers. Thus, considering that phytochemical characterization revealed the presence of antioxidants in Cymbopogon citratus extract, the objective of this study was to evaluate the effect of this plant infusion on the enzyme acetylcholinesterase activity (AChE) and on the redox response in farmers’ erythrocytes. These erytrocytes were processed and subjected to treatment with the Cymbopogon citratus infusion (5, 10, 25 and 50 g/L). In these samples the following were determined: the AChE enzyme activity, the levels of thiobarbituric acid reactive substances (TBARS), protein carbonyls (CPs) and reduced glutathione (GSH). In general, it was discovered that the inhibition of AChE activity is negative regarding to the increase of protein carbonyl levels and positive regarding the GSH levels. In addition, Cymbopogon citratus infusions could not even reverse this inhibition or the high levels of TBARS and CPs. On the other hand, levels of GSH were increased by infusions demonstrating the increased antioxidant activity in rural workers’ erythrocytes.
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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 | 0.000 | 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".