Bruton Tyrosine Kinase in Lesions of Multiple Sclerosis and 3 of Its Models
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The pathophysiology of multiple sclerosis (MS) is contributed by B lymphocytes, macrophages, and microglia. Bruton tyrosine kinase (BTK) is an intracellular enzyme within these cells that modulates their inflammatory properties. Thus, central nervous system-penetrant inhibitors of BTK may counter immune dysregulation, and this aspiration is highlighted by 11 phase 3 clinical trials in MS to inhibit this enzyme. Despite the keen interest, the spatial and temporal elevation of BTK in lesions of MS and its models is not well characterized. METHODS: We used quantitative fluorescence immunohistology to assess the expression of BTK and a phosphorylated activated form in different lesion types of MS and 3 of its models: inflammatory experimental autoimmune encephalomyelitis (EAE), toxin-induced demyelination of lysolecithin, and oxidized phosphatidylcholine injuries. GDC-0853 (fenebrutinib), a BTK inhibitor in phase 3 clinical trials in MS, was evaluated in EAE for its capacity to alter disease course. RESULTS: myeloid cells were still BTK immunoreactive. DISCUSSION: Our results demonstrate that BTK immunoreactivity is normally undetectable in uninjured areas or normal-appearing white matter of human and murine CNS, but that expression becomes prominent in lesions with hypercellular aggregates of microglia and macrophages. Staining for pBTK reveals that its upregulation declines in the later stage of lysolecithin and chronic stage of EAE injury while BTK upregulation is maintained. Our collective results support the rationale of using brain-penetrant BTK inhibitors to modulate the elevation of this enzyme in microglia/macrophages within inflamed plaques of MS.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".