Synchrotron infrared microspectroscopy of biological tissues: brain tissue from TgCRND8 Alzheimerâs disease mice and developing scar tissue in rats
Bibliographic record
Abstract
Biological tissues were studied with synchrotron infrared (IR) microspectroscopy, a technique that allows the spatially resolved determination and mapping of multiple components in situ at high spatial resolution. The first project involved studying brain tissue from TgCRND8 mice, a transgenic model of Alzheimer’s disease (AD). AD is the main cause of dementia in the ageing population, marked by the deposition of plaques composed of the Aβ peptide. Dense-cored and diffuse plaques were IR mapped and the results correlated with histochemistry and immunostaining. Spectral analysis confirmed that congophilic plaque cores were composed of highly aggregated protein in a β-sheet conformation. The amide I maximum of plaque cores was 1623 cm-1; there was no evidence of the high frequency (1680-1690 cm-1) peak seen in in vitro Aβ fibrils and attributed to anti-parallel β-sheet. A significant elevation in phospholipids was found around dense-cored plaques in TgCRND8 mice ranging in age from 5 to 21 months. This was due to an increase in cellular membranes from dystrophic neurites and glial cells around the core, but could also contribute to Aβ aggregation through the interaction of newly secreted Aβ with phospholipids. In contrast, diffuse plaques were not associated with infrared detectable changes in protein secondary structure or relative concentrations of other tissue components. In addition, focally elevated deposits of creatine, a molecule with a crucial role in energy metabolism, were discovered in AD brain tissue with IR microspectroscopy. The creatine deposits may be a previously undiscovered disease marker. A second project was part of a larger Natural Sciences and Engineering Research Council Collaborative Health Research Project (NSERC-CHRP) to test the hypothesis that treatment with anti-oxidants, L-2-oxo-thiazolidine-4-carboxylate (OTC) and quercetin, following spinal surgery may reduce oxidative stress, inflammation, and scarring. The effect of OTC and quercetin on scar tissue formation was evaluated in rats that had undergone laminectomy. Synchrotron IR microspectroscopy data were collected on scar tissue from OTC, quercetin and saline (control) treated animals, sacrificed at 3 and 21 days post-surgery. Spectral differences could be correlated with the stages of wound healing.
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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) | 0.001 | 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) | 0.002 | 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; 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".