1H MR spectroscopic characteristics of kernicterus: a possible metabolic signature.
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: MR examination of infants with kernicterus shows abnormal changes in signal intensity in various parts of the brain, including the globus pallidus and subthalamic regions. The purpose of this study was to retrospectively analyze proton ((1)H) MR spectroscopic data to see if the MR spectroscopic profiles of infants with hyperbilirubinemia and symptoms of kernicterus provide new insights into the pathophysiology of bilirubin neurotoxicity. METHODS: Six patients aged 3 days to 3 weeks, with hyperbilirubinemia and symptoms of kernicterus underwent MR imaging and MR spectroscopy with a single-voxel point-resolved spectroscopic sequence. The voxel of interest was centered in the basal ganglia with CSF excluded. Quantitative analysis was done by using LCModel. Between-subject comparisons were based on metabolite ratios relative to creatine. RESULTS: Ratios of taurine, glutamate and glutamine, and myoinositol relative to creatine were significantly elevated (P < .001), whereas the ratio of choline to creatine was significantly decreased (P < .001) compared with normal values published for this age group. Lactate levels were not significantly elevated. CONCLUSION: Kernicterus has a characteristic signature that is detectable on (1)H-MR spectroscopy. Our results are generally in agreement with what is known about bilirubin pathology, and the finding of increased glutamate and glutamine and decreased choline ratios indicates a possible link between hepatic encephalopathy and kernicterus. This observation may help in elucidating the pathophysiology of bilirubin neurotoxicity.
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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 | 0.001 |
| 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 | 0.000 |
| 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".