Loss of Neuronal Protein Expression in Mouse Hippocampus After Irradiation
Bibliographic record
Abstract
The effects of radiation on neurons are incompletely characterized. We evaluated changes in the expression of neuronal nuclear and other proteins in the mouse hippocampus after 17-Gy whole-brain irradiation. Expression of neuronal nuclei (NeuN), neuron-specific enolas, prospero-related homeobox 1 (Prox1), calbindin D28k, and synaptophysin 1 in the CA1, CA3, and dentate gyrus of the hippocampus was determined by immunohistochemistry; neuronal numbers were estimated by design-based stereology. At 7 days after irradiation, there was a marked reduction of NeuN neurons in CA3. Stereologic estimates confirmed a significant reduction in NeuN neurons in CA3 at 7 days, in the dentate gyrus at 7 days, 3 weeks and 2 months, and in CA1 at 2 months compared with controls; neuron-specific enolase and prospero-related homeobox 1-positive neurons in the CA3 subregion were also decreased at 7 days. The numbers of granule and pyramidal cells identified by 4'6-diamidino-2-phenylindole nuclear staining, however, remained unchanged, and there were no changes in calbindin D28k or synaptophysin 1 immunoreactivity after irradiation. We conclude that irradiation may result in a temporary loss of neuronal protein expression in mouse hippocampus. These changes do not necessarily indicate loss of neurons and indicate the need for caution regarding the use of phenotypic markers such as NeuN to estimate changes in neuronal numbers after irradiation.
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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 | 0.001 | 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 | 0.001 |
| 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".