Autofluorescence spectroscopy as a proxy for chronic white matter pathology
Bibliographic record
Abstract
BACKGROUND: The balance of tissue injury and repair ultimately determines outcomes of chronic neurological disorders, such as progressive multiple sclerosis (MS). However, the extent of pathology can be difficult to detect, particularly when it is insidious and/or offset by tissue regeneration. OBJECTIVES: The objective of this research is to evaluate whether tissue autofluorescence-typically a source of contamination-provides a surrogate marker of white matter injury. METHODS: Tissue autofluorescence in autopsied specimens both experimental and clinical was characterized by spectral confocal microscopy and correlated to severity and chronicity as determined by standard histopathology. RESULTS: Months after cuprizone (CPZ)-induced demyelination, despite robust remyelination, autofluorescent deposits progressively accumulated in regions of prior pathology. Autofluorescent deposits (likely reflecting myelin debris remnants) were conspicuously localized to white matter, proportional to lesion severity, and displayed differential fluorescence over time. Strikingly, similar features were apparent also in autopsied MS tissue. CONCLUSION: Autofluorescence spectroscopy illuminates prior and ongoing white matter injury. The accumulation of autofluorescence in proportion to the extent of progressive atrophy, despite robust remyelination in the CPZ brain, provides important proof-of-concept of a phenomenon (insidious ongoing damage masked by mechanisms of tissue repair) that we hypothesize is highly relevant to the progressive phase of MS.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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; both teacher heads agree on what is shown here.
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".