Upregulation Of Eicosanoid Signalling In Lung Following Fipronil And Endotoxin Interaction
Bibliographic record
Abstract
It is estimated that nearly 1.8 billion people worldwide use pesticides to minimize the crop damage in efforts to increase food production to feed the growing world population. Exposures to lower concentartion of various pesticides such as fipronil and phenylpyrazole can result in fatal poisonings as well as airway inflammation. Inhalation of endotoxins, which are frequently present in the agricultural buildings, also induces lung inflammation. Animals exposed to both fipronil and endotoxin may demonstrate enhanced lung inflammation. There, however, are limited data available on the molecular mechanisms underlying the toxicity induced by fipronil alone or in combination with endotoxin. Hence, we employed a comprehensive microarray approach in a mouse model to identify the molecular mechanism involved in the lung inflammation by exposing the mice to fipronil (1/20th of LD50/d orally for 90 d) followed by intranasal E. coli LPS (80μg/mouse) or normal saline (N=10 each). Fipronil with or without LPS significantly (p<0.05) increased the total histopathological score suggesting lung damage. Ingenuity Pathway Analysis (IPA) software analysis predicted eicosanoid signalling among the top 5 canonical pathways involved in airway inflammation. Eicosanoid signalling plays important role in pulmonary inflammation and immune response via cytokine production, cell proliferation, antibody formation and antigen presentation. Fipronil alone caused 3‐fold increase in Phospholipase A2G5 (PLA2G5), which hydrolyses the membrane phospholipids to generate various eicosanoids. PLA2G5 showed 1.63 and 4.34 fold increase following exposure to endotoxin alone or in combination with fipronil, respectively. RT‐qPCR and immunohistochemistry analysis validated the microarray data for the PLA2G5. The data taken together indicate up‐regulation of functionally relevant PLA2G5 during fipronil or/and endotoxin induced lung inflammation, which may also play a role in lung inflammation associated with fipronil exposure. Support or Funding Information GADVASU, Ludhiana This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 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".