High copper levels and increased elastolysis in a patient with cutis marmorata teleangiectasia congenita
Bibliographic record
Abstract
Cutis marmorata telangiectatica congenita (CMTC) is a rare cutaneous vascular disease presenting at birth with levido reticularis, phlebectasia, and telangiectasia, often accompanied by skin ulcerations. Extra-dermal vascular anomalies can be also detected in 30-70% of described cases. The pathomechanism responsible for development of these phenotypic changes is not well understood. Here, we report on a 16-month-old boy with CMTC, generalized vascular abnormalities and severe, nitric oxide sensitive, pulmonary hypertension associating with markedly elevated level of blood copper. Results of laboratory investigations indicated that primary cultures (passage one) of dermal fibroblasts derived from this patient were capable of normal synthesis of tropoelastin, but their net deposition of mature elastic fibers was significantly diminished as compared with cultures of normal fibroblasts. Because the low net deposition of elastin was reversed when 1 mg/ml of alpha1-antitrypsin was added to the media, we conclude that heightened elastolysis by endogenous serine proteinase's is responsible for the low net elastogenesis by CMTC fibroblasts. Since simultaneous addition of 30 microM CuSO(4) and 1 mg/ml alpha1-antitrypsin abolished the beneficial effect of this serine proteinase's inhibitor, we concluded that this may be due to copper-dependent inactivation of alpha1-antitrypsin. Our data suggest that a high level of free copper may constitute a major triggering factor contributing to the development of the CMTC phenotype.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 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".