Counter the Presence of Endotoxin- Reviewing Molecular and Downstream Approach
Bibliographic record
Abstract
Endotoxins are major components of the outer membrane of gram negative bacteria. Endotoxin mainly includes lipopolysaccharides (LPS) which consist of O-antigen region, a core oligosaccharide and lipid A. LPS causes various side effects such as septic shock, hyperthermia, hepatic shock, etc. Exposure to endotoxin causes histological variations in inflammatory cells. Research at molecular level has revealed that ATPase activity is inhibited by endotoxin. LPS plays a crucial role in inhibition of mitochondrial functions and cellular transport system. Various attempts are being made for the treatment of deteriorating effects of endotoxins on immune system. These include use of anti-endotoxin antibodies and receptor molecules to block the endotoxin receptors. This work discusses over the aspects of removal of endotoxin by the ways of development of purification techniques and also highlights the research conducted to alter the release and/or affect the structure of endotoxin which may lead to reducing the ill-effects. Taking the molecular approach the effect of endotoxin could be reduced thereby inducing the reaction between small subunits of endotoxin and LPS inhibitors preventing the formation of large stable complexes thereby reducing its effect. Downstream approach is followed in order to remove the endotoxins as contaminant in the biological preparations. This can be achieved by improving the separation system of the biological molecules. Use of active biomolecules in place of synthetic chemicals may prove effective. This paper discusses the molecular and processing aspects to counter endotoxin.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".