Endotoxin Contamination in Recombinant Human Heat Shock Protein 70 (Hsp70) Preparation Is Responsible for the Induction of Tumor Necrosis Factor α Release by Murine Macrophages
Bibliographic record
Abstract
Using commercially available recombinant human heat shock protein 70 (rhHsp70), recent studies have shown that rhHsp70 could induce the production of tumor necrosis factor alpha (TNFalpha) by macrophages and monocytes in a manner similar to lipopolysaccharide (LPS) e.g. via CD14 and Toll-like receptor 4-mediated signal transduction pathway. In the current study, we demonstrated that a highly purified rhHsp70 preparation (designated as rhHsp70-1) with a LPS content of 1.4 pg/microg was unable to induce TNFalpha release by RAW264.7 murine macrophages at concentrations up to 5 microg/ml. In contrast, a less purified rhHsp70 preparation (designated as rhHsp70-2) at 1 microg/ml with a LPS content of 0.2 ng/microg was able to induce TNFalpha release to the same extent as that induced by 0.2 ng/ml LPS. Failure of rhHsp70-1 to induce TNFalpha release was not because of defective physical properties since rhHsp70-1 and rhHsp70-2 contained identical hsp70 content as determined by SDS gels stained with Coomassie Blue and Western blots probed with an anti-rhHsp70 antibody. Both rhHsp70 preparations also had similar enzymatic activities as judged by their ability to remove clathrin from clathrin-coated vesicles. Removal of LPS from rhHsp70-2 by polymyxin B-agarose column or direct addition of polymyxin B to the incubation medium essentially eliminated the TNFalpha-inducing activity of rhHsp70-2. The addition of LPS at the concentration found in rhHsp70-2 to rhHsp70-1 resulted in the same TNFalpha-inducing activity as observed with rhHsp70-2. The TNFalpha-inducing activities of rhHsp-2, LPS alone, and LPS plus rhHsp70-1 were all equally sensitive to heat inactivation. These results suggest that rhHsp-70 does not induce TNFalpha release from murine macrophages and that the observed TNFalpha-inducing activity in the rhHsp70-2 preparation is entirely due to the contaminating LPS.
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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) | 0.000 | 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) | 0.000 | 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".