Murine succinate semialdehyde dehydrogenase (SSADH) deficiency, a heritable disorder of GABA metabolism with epileptic phenotype
Bibliographic record
Abstract
Murine models of inborn errors of metabolism represent an established approach for investigating pathophysiological mechanisms associated with the corresponding human disorder. Our laboratory studies human inherited defects of GABA synthesis and degradation. One of these, succinate semialdehyde dehydrogenase (SSADH) deficiency (or gamma-hydroxybutyric aciduria; OMIM 271980; E.C. 1.2.1.24), has recently been modeled via gene targeting in the mouse. SSADH-/- mice succumb to early lethality in status epilepticus at postnatal (PN) days 20 - 26. Numerous metabolic, neurochemical and neurophysiological abnormalities have been documented using in vitro and in vivo approaches, substantially altering our thoughts about the complexity of the corresponding human condition. Moreover, novel preclinical treatment paradigms have been developed through drug trials in gene-ablated animals. The greatest utility of this animal, however, may reside in its transition from early absence seizures to generalized convulsions and eventual status epilepticus. Accurate neurochemical assessment during this transition may provide clues to the same transition process in patients, for which the underlying mechanisms remain undefined.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.005 |
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".