Proteomic Identification of Binding Partners for the Brain Metabolite Lanthionine Ketimine (LK) and Documentation of LK Effects on Microglia and Motoneuron Cell Cultures
Bibliographic record
Abstract
Lanthionine ketimine (LK) represents a poorly understood class of thioethers present in mammalian CNS. Previous work has indicated high-affinity interaction of LK with synaptosomal membrane protein(s), but neither LK binding partners nor specific bioactivities have been reported. In this study, LK was chemically synthesized and used as an affinity agent to capture binding partners from mammalian brain lysate. Liquid chromatography with electrospray ionization-mass spectrometry of electrophoretically separated, LK-bound proteins identified polypeptides implicated in axon remodeling or vesicle trafficking and diseases including Alzheimer's disease and schizophrenia: collapsin response mediator protein-2/dihydropyrimidinase-like protein-2 (CRMP2/DRP2/DPYSL2), myelin basic protein, and syntaxin-binding protein-1 (STXBP1/Munc-18). Also identified was the recently discovered glutathione-binding protein lanthionine synthetase-like protein-1. Functional consequences of LK:CRMP2 interactions were probed through immunoprecipitation studies using brain lysate wherein LK was found to increase CRMP2 coprecipitation with its partner neurofibromin-1 but decreased CRMP2 coprecipitation with beta-tubulin. Functional studies of NSC-34 motor neuron-like cells indicated that a cell-permeable LK-ester, LKE, was nontoxic and protective against oxidative challenge with H(2)O(2). LKE-treated NSC-34 cells significantly increased neurite number and length in a serum concentration-dependent manner, consistent with a CRMP2 interaction. Finally, LKE antagonized the activation of EOC-20 microglia by inflammogens. The results are discussed with reference to possible biochemical origins, paracrine functions, neurological significance, and pharmacological potential of lanthionyl compounds.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".