Effects of Postmortem Interval on Biomolecule Integrity in the Brain
Bibliographic record
Abstract
Postmortem brain research is invaluable to the study of neurologic and neuropsychiatric disorders, including Alzheimer disease, schizophrenia, and major depression. A major confounder in molecular studies using human brain tissue is postmortem interval (i.e. the amount of time between a subject's death and processing of tissue). We examined the integrity of biomolecules that were of interest to molecular studies of neurologic disorders, including RNA, microRNA, histone modifications, and proteins, at various postmortem intervals in an animal model to assess their robustness and suitability for experimentation. Sprague-Dawley rats were selected as model and subjected to 2 conditions: a variable postmortem interval at room temperature and a fixed time of 24 hours at 4°C, which simulates the period commonly spent in the morgue before brain collection. Eight time points were investigated. MicroRNA was impressively resistant to postmortem intervals; methylated histone modifications showed a threshold between 72 and 96 hours, mirroring results from histone proteins at 72 hours. RNA degradation was transcript-specific, with housekeeping genes being more robust than genes with lower expression. Our results suggest that molecules commonly investigated in genetic and epigenetic studies were highly stable through the postmortem intervals investigated. These results support the continued use of postmortem tissue for neuropsychiatric research.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".