A search for the mechanisms by which various iron levels modulate elastin production
Bibliographic record
Abstract
Northern blot and real time RT-PCR analysis revealed that treatment with 20 muM iron led to sim;3-fold increase in elastin mRNA levels, while treatment with 200 muM iron decreased elastin message stability and subsequent mRNA levels. It has been implicated that iron imbalance is responsible for the elastic fiber defects in hereditary hemolytic disorders, and since the expression of several ECM is iron dependent, we speculated that iron might also modulate elastin gene expression. We conclude that a balance between these two iron-dependent mechanisms may constitute a novel factor regulating normal elastogenesis and that disturbance of this balance results in impaired elastic fiber production. The results of our immunocytochemical and metabolic studies assessing deposition of insoluble elastin, showed that treatment of cultured fibroblasts with 2--20 muM of iron (supplied as ferric ammonium citrate) induced an increase in elastin production, while treatment with 100--200-muM iron lead to intracellular reactive oxygen species generation, and a decrease in elastin production.
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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".