The Oxidative and Inflammatory State in Patients with Acute Renal Graft Dysfunction Treated with Tacrolimus
Bibliographic record
Abstract
Objective. To determine the oxidative stress/inflammation behavior in patients with/without acute graft dysfunction (AGD) with Tacrolimus. Methods. Cross‐sectional study, in renal transplant (RT) recipients (1‐yr follow‐up). Patients with AGD and without AGD were included. Serum IL‐6, TNF‐ α , 8‐isoprostanes (8‐IP), and Nitric Oxide (NO) were determined by ELISA; C‐reactive protein (CRP) was determined by nephelometry; lipid peroxidation products (LPO) and superoxide dismutase (SOD) were determined by colorimetry. Results. The AGD presentation was at 5.09 ± 3.07 versus 8.27 ± 3.78 months ( p < 0.001); CRP >3.19 mg/L was found in 21 versus 19 in the N‐AGD group ( p = 0.83); TNF‐ α 145.53 ± 18.87 pg/mL versus 125.54 ± 15.92 pg/mL in N‐AGD ( p = 0.64); IL‐6 2110.69 ± 350.97 pg/mL versus 1933.42 ± 235.38 pg/mL in N‐AGD ( p = 0.13). The LPO were higher in AGD ( p = 0.014): 4.10 ± 0.69 µ M versus 2.41 ± 0.29 µ M; also levels of 8‐IP were higher in AGD 27.47 ± 9.28 pg/mL versus 8.64 ± 1.54 pg/mL ( p = 0.01). Serum levels of NO in AGD were lower 138.44 ± 19.20 µ mol/L versus 190.57 ± 22.04 µ mol/L in N‐AGD ( p = 0.042); antioxidant enzyme SOD activity was significantly diminished in AGD with 9.75 ± 0.52 U/mL versus 11.69 ± 0.55 U/mL in N‐AGD ( p = 0.012). Discussion. Patients with RT present with a similar state of the proinflammatory cytokines whether or not they have AGD. The patients with AGD showed deregulation of the oxidative state with increased LPO and 8‐IP and decreased NO and SOD.
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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".