Expression of cathepsins S and D signals a distinctive biochemical trait in CD34 <sup>+</sup> hematopoietic stem cells of relapsing–remitting multiple sclerosis patients
Bibliographic record
Abstract
BACKGROUND: The elucidation of mechanistic aspects of relapsing-remitting multiple sclerosis (RRMS) pathogenesis may offer valuable insights into diagnostic decisions and medical treatment. RESULTS: Two lysosomal proteases, cathepsins S and D (CatS and CatD), display an exclusive pattern of expression in CD34(+) hematopoietic stem cells (HSCs) from peripheral blood of acute MS (A-MS) patients (n = 20). While both enzymes normally exist as precursor forms in the HSCs of healthy individuals (n = 30), the same cells from A-MS patients consistently exhibit mature enzymes. Further, mature cathepsins are expressed at lower rates in stable MS subjects (S-MS, n = 15) and revert to precursor proteins after interferon-β1a treatment (n = 5). Mature CatD and CatS were induced in HSCs of healthy donors that were either co-cultured with PBMCs of A-MS patients or exposed to their plasma, suggesting a functional involvement of soluble agents. Following HSC exposure to several cytokines known to be implicated in MS, and based on relative cytokine levels displayed in A-MS, S-MS and control individuals, we identified IL-16 as a specific cell signaling factor associated with cathepsin processing. CONCLUSIONS: These data point to an evident correlation between CatS and CatD expression and MS clinical stage, and define a biochemical trait in HSCs with functional, medical, and diagnostic relevance.
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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".