In vitro and in vivo Uric Acid Lowering by Artificial Cells Containing Microencapsulated Genetically Engineered E. coli DH5 Cells
Bibliographic record
Abstract
Increase in systemic uric acid occurs in renal insufficiency, gout, chemotherapy, and other diseases. Dialysis can lower this metabolite but is expensive. The use of drugs can, sometime, result in side effects. Therefore, a suitable affordable method for this is required. In this article, for the first time, we report the use of artificial cells containing micro encapsulated genetically engineered E. Coli DH5 cells for lowering uric acid in vitro and in vivo. Results show that this novel approach has the ability to significantly lower uric acid from 84.80 +/- 3.40 mg/dl to 9.32 +/- 0.05 mg/dl in vitro and from the plasma of the experimental animals from the control levels of 71.00 +/- 27.49 mg/dl to 20.33 +/- 17.92 mg/dl in vivo. Continued daily oral administration maintained the plasma uric acid concentration of experimental uremic rats to the normal plasma uric acid level range during the entire test period.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".