Longitudinal observations of serum heparin cofactor II‐thrombin complex in treated Mucopolysaccharidosis I and II patients
Bibliographic record
Abstract
Monitoring of therapeutic response in mucopolysaccharidosis (MPS) patients is problematic as most biomarkers are specific for either disease complications or specific organ system involvement. Recent studies have indicated that serum heparin-cofactor II-thrombin complex (HCII-T) may serve as an important biomarker in the group of MPSs where dermatan sulphate is stored. This complex forms when blood coagulates in the presence of glycosaminoglycans (GAGs) where the ultimate amount of HCII-T that forms reflects the concentration of circulating GAGs. We have studied serum HCII-T levels in 9 MPS I and 11 MPS II treated patients and have compared values to studies of urinary GAGs. In severe MPS I patients treated with either transplantation or enzyme replacement therapy (ERT), serum HCII-T levels never reach the range of normal despite normalization of uGAGs in some patients. Some attenuated MPS I patients have normalization of HCII-T but require a protracted exposure time relative to the drop in urinary GAGs. Treated MPS II patients show a clear correlation of serum HCII-T levels with the presence of antibodies to Idursulfase, with antibody positive patients showing an early drop in HCII-T levels with eventual increases in levels often to levels above those seen at baseline. This is contrasted by a robust and persistent drop in uGAGs. Antibody negative MPS II patients show a drop in HCII-T levels on treatment but levels never normalize despite normalization of uGAGs. This study highlights the utility and biologic relevance of serum HCII-T levels in monitoring therapy in these disorders.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".