Calpain-Induced Endoplasmic Reticulum Stress and Cell Death following Cytotoxic Damage to Renal Cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Calpains and endoplasmic reticulum (ER) stress have both been implicated in renal cell death following exposure to reactive chemical toxicants (RCTs). Therefore, we explored the link between ER stress, calpain, and cell death in renal cell injury due to model RCTs (iodoacetamide, menadione, tert-butyl hydroperoxide) and ER stress inducers (tunicamycin [TUN], thapsigargin [THAPS]). The calpain inhibitor, PD150606, significantly reduced the RCT and TUN-induced cell death in the renal cell line LLC-PK1, but not death induced by THAPS. ER stress was confirmed by the significant induction of GRP78 following exposure to RCTs and ER stress inducers. While GRP94 induction was observed following RCTs and TUN, it was not statistically significant because of variability. THAPS at 5 microM significantly induced GRP94, while 20 mmicroM caused a calpain-dependent cleavage of GRP94. Caspase-12 and m-calpain were variably induced and/or cleaved following exposure to all toxicants, supporting activation of these signaling pathways. Inhibition of calpain blocked the induction of GRP78 following exposure to RCTs suggesting that calpain was contributing to the observed ER stress following RCTs. In contrast, calpain inhibition did not block ER stress protein induction following exposure to nontoxic concentrations of TUN or THAPS, indicating that calpain inhibition did not block the ER stress protein induction pathways directly. These studies demonstrate a previously unappreciated link between calpain activation and ER stress-associated cell death in renal cells. While further studies are required to clarify the molecular events involved, these results confirm that calpain activation and the ER are important related players in chemically induced renal cell damage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it