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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".