Reducing circulating levels of plant sterols by ezetimibe favorably increases platelet counts in sitosterolemia patients (117.7)
Bibliographic record
Abstract
Macrothrombocytopenia and hemolytic anemia is correlated with increased plant sterol (PS) levels in patients (pts) with sitosterolemia (STSL). To determine if ezetimibe (EZ), a sterol‐absorption inhibitor, improves platelet count and morphology, and reduces markers of red blood cell hemolysis (RBCH: serum lactate dehydrogenase and bilirubin), 8 STSL pts were first taken off their EZ therapy for 14 wks then treated with EZ (10 mg/d) for another 14 wks. Blood samples were collected at the end of each study phase (off and on EZ). Plasma (pl) and RBC sterol concentrations were analysed by gas chromatography. Complete blood cell count and serum RBCH markers were determined by automated analyzers. In pts off EZ, platelet count was inversely related to pl campesterol (r=‐0.85, p<0.05), total PS (r=‐0.77, p<0.05) and total PS‐to‐cholesterol ratio (PS/Chol, r=‐0.96, p<0.01, n=7). Platelet size was positively correlated with pl total PS and PS/Chol ratio (all r=0.93, p<0.05, n=5), and RBC PS and PS/Chol were inversely related to mean corpuscular hemoglobin (Hb) concentration (MCHC) (p<0.01). EZ reduced pl and RBC sitosterol (‐35±4 and ‐28±3%), campesterol (‐47±4 and ‐40±4%), total PS (‐37±4 and ‐28±3%, all p<0.0001) and PS/Chol (‐27±4 and ‐28±4%, p<0.01). EZ increased platelet count (+23±9%, p<0.05), decreased platelet size (‐10±3%, p<0.05), and had no effect on RBCH, RBC mean corpuscular volume, or Hb concentration but slightly increased (p=0.03) MCHC. MCHC was negatively correlated with RBC (r=‐0.76) and pl (r=‐0.85, all p<0.05) campesterol in pts on EZ. In pts off EZ, RBC Chol was inversely related to sitosterol (p<0.05), total PS (p<0.05) and PS/Chol (p<0.01), suggesting reciprocity between Chol and PS. EZ tended to lower pl Chol concentrations (‐12±6%, p=0.09) but not RBC Chol (+0.3±3%, NS). These results indicated that EZ reduced pl and RBC PS contents, increased platelet count and decreased platelet size without affecting RBC Chol levels in STSL pts. Grant Funding Source : NIH, CIHR
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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".