Verotoxin (Shiga Toxin) Sensitizes Renal Epithelial Cells to Increased Heme Toxicity
Bibliographic record
Abstract
Escherichia coli-derived verotoxins (VT; Shiga toxins) are causally related to the pathogenesis of enteropathic hemolytic uremic syndrome (HUS). Profound hemolysis is a defining feature of the disease, but it is not known whether the acute intravascular release of heme proteins contributes to HUS pathology. This study examined the biologic effects of hemin and VT by means of tubular epithelial-derived ACHN cells. Hemin at concentrations >/=200 microM caused cell rounding, spike formation, and detachment that was morphologically distinct from verocytotoxicity. VT caused apoptosis at concentrations >100 pM, as demonstrated by nuclear segmentation and poly(ADP-ribose) polymerase cleavage, whereas hemin-mediated injury of ACHN cells grown in serum-containing medium lacked attributes of programmed cell death. Pretreatment of ACHN monolayers with sublethal concentrations (1 to 10 pM) of VT for 12 to 18 h led to superadditive hemin-mediated cytotoxicity. This effect was not limited to ACHN cells, but was similarly noted in microvascular endothelial cells. Heme catabolism is regulated by (inducible) heme oxygenase-1 (HO-1). VT abrogated HO-1 expression in ACHN cells. Stimulation of cells for 6 h with CdCl(2), which markedly increased HO-1 expression before the addition of VT, blunted subsequent hemin injury. In conclusion, VT augments hemin-induced toxicity in renal tubular epithelial cells that can be reversed by prior induction of HO-1. It is proposed that VT subverts the physiologic defense against heme proteins by interfering with the regulated expression of HO-1 and that this mechanism contributes to the renal pathology in patients with Escherichia coli-associated HUS.
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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 | 0.000 |
| 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".