Reduction in cholesterol synthesis in response to serum starvation in lymphoblasts of a patient with Barth syndromeThis paper is one of a selection of papers published in this special issue entitled “Second International Symposium on Recent Advances in Basic, Clinical, and Social Medicine” and has undergone the Journal's usual peer review process.
Bibliographic record
Abstract
Barth syndrome is a rare X-linked disease in which mild hypocholesterolemia is observed in some patients. We investigated cholesterol biosynthesis in lymphoblasts from a normal and age-matched Barth syndrome patient. Control and Barth syndrome (DeltaTAZ1) lymphoblasts were incubated in the presence or absence of serum to induce cholesterol synthesis and hydroxymethylglutaryl-coenzyme A reductase activity and expression, and cholesterol biosynthesis from radioactive precursors was determined. Cholesterol biosynthesis from [2-14C]pyruvate was stimulated 2-fold in control cells, but was unchanged in DeltaTAZ1 lymphoblasts, and from [1-14C]acetate was stimulated 77% in control but only 26% in DeltaTAZ1 lymphoblasts upon serum removal, indicating a lower ability of DeltaTAZ1 cells to upregulate cholesterol biosynthesis. The reason was an inability to increase hydroxymethylglutaryl-coenzyme A reductase activity, which was already near maximum in DeltaTAZ1 lymphoblasts, in response to serum removal, compared with control cells. The reduced ability to increase hydroxymethylglutaryl-coenzyme A reductase enzyme activity in DeltaTAZ1 lymphoblasts was due to a decrease in hydroxymethylglutaryl-coenzyme A reductase messenger RNA. Although total cholesterol levels are similar under standard culture conditions, DeltaTAZ1 lymphoblasts have a diminished capacity to respond to increased demand for cholesterol biosynthesis because of an already elevated level of synthesis under standard culture conditions.
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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 | 0.001 | 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".