Metabolic network changes that are strongly associated with Dementia Lewy Body determined through signed distance and partial correlation analysis
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Bibliographic record
Abstract
INTRODUCTION Determining significant metabolic changes in Dementia with Lewy Body (DLB), a complex and multifactorial neurodegenerative disease, requires, in addition to the analysis of concentration changes, a deep understanding of functional changes in the context of metabolic networks. METHODS Brain metabolomics data from DLB patients and controls was analysed using novel approaches to determine metabolites with the largest changes in their network in DLB. Signed distance correlation (SiDCo) method is provided at: http://complimet.ca/SiDCo RESULTS Novel clustering and correlation network analysis shows major change in the metabolic network in DLB brain relative to matching controls with the largest interaction network alterations for fructose, propylene-glycol, pantothenate and O-acetylcarnitine in spite of no statistically significant change in their concentrations. DISCUSSION Network and correlation analyses indicate major changes in the purine degradation pathway, propanoate and -alanine metabolism as well as an increased role of fructose and reduced significance of glucose in DLB affected brain.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it