Sensory Neurons With Activated Caspase-3 Survive Long-Term Experimental Diabetes
Bibliographic record
Abstract
Long-term experimental diabetes may best model the prominent and irreversible sensory deficits of chronic human diabetic polyneuropathy. Whereas irretrievable loss of sensory neurons, if present, would be an unfortunate feature of the disease, systematic unbiased counting has indicated that sensory neurons survive long-term experimental diabetes. In this study, we examined whether incipient cell loss from apoptosis in chronic experimental diabetes might nonetheless be in process, or whether neurons somehow adapt to their chronic insults. We examined sensory neurons in L4 and L5 dorsal root ganglia of long-term experimental streptozotocin-induced diabetic rats using transferase-mediated dUTP nick-end labeling (TUNEL), 4',6-diamidino-2-phenylindole (DAPI) staining of nuclear morphology, and electron microscopic appraisal of cell morphology. None provided any evidence for ongoing apoptosis. Despite this confirmation that sensory neurons survive, neurons had elevated expression of activated caspase-3 in unique patterns that included their nuclei, cytoplasm, and proximal axonal segments. Bcl-2 expression, a marker of antiapoptosis signaling, was observed in similar numbers of diabetic and nondiabetic neurons. In contrast, diabetic sensory neurons had elevated expression of the DNA repair enzyme poly(ADP-ribose) polymerase (PARP) in their nuclei, cytoplasm, and proximal axonal segments not overlapping with caspase-3 localization. Diabetic sensory neurons also had an apparent rise in cytoplasmic labeling of nitrotyrosine, a marker of peroxynitrite toxicity reported to activate PARP.
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.
How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".