Restoration of Vitamin C Synthesis in Transgenic <i> Gulo <sup>−/−</sup> </i> Mice by Helper-Dependent Adenovirus-Based Expression of Gulonolactone Oxidase
Bibliographic record
Abstract
Inability to synthesize vitamin C, because of a deficiency in gulonolactone oxidase (GULO) expression, is a genetic deficiency shared by a small number of animals including humans. Although the most overt symptom of vitamin C deficiency, scurvy, can be readily corrected by modest consumption of vitamin C, there is increasing interest in the effect of high-level administration in treating human disease. Using a previously derived Gulo-expressing vector, which produces murine GULO under the control of the murine cytomegalovirus (mCMV) promoter, we constructed and validated a recombinant helper-dependent adenovirus (HDAd-mCMV-Gulo) that can be used to correct this genetic defect. A human liver cell line (Hep G2) infected with the HDAd-mCMV-Gulo vector expressed GULO in a time- and gene dose-dependent manner. These cells also produced ascorbic acid when exogenous gulonolactone was supplemented in the medium. Likewise, Gulo(-/-) mice treated with HDAd-mCMV-Gulo at 2 x 10(11) VP expressed GULO in the liver and produced ascorbic acid. Serum ascorbic acid concentrations in Gulo(-/-) mice injected with GULO-expressing HDAd were elevated to levels comparable to those of wild-type mice (62 +/- 15 microM) after 4 days of infection and were maintained at significantly higher levels compared with those in untreated Gulo(-/-) mice for at least 23 days. A similar elevation was observed in urine and tissue ascorbic acid concentrations in vector-treated animals. In conclusion, we demonstrate here that gene therapeutic HDAd-mCMV-Gulo vectors can mediate the expression of GULO and endogenous production of ascorbic acid in human cells and in Gulo(-/-) transgenic mice. Taken together, these data show that a gene therapy approach can be successfully employed in the treatment and further study of vitamin C deficiency in scurvy-prone mammals.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".