Evaluation of Bach1 <scp>mRNA</scp> expression in patients with chronic kidney disease: A preliminary study
Bibliographic record
Abstract
INTRODUCTION: BTB and CNC homology 1 (Bach1) is a protein that antagonizes some actions of nuclear factor erythroid 2-related factor-2 (Nrf2), the master regulator of cytoprotective responses. Bach1 binds to genomic DNA and inhibits the synthesis of antioxidant enzymes, thereby increasing inflammation. Bach1 may be a therapeutic target for mitigating inflammation in chronic kidney disease (CKD) patients. However, no clinical study has been reported on Bach1 in this population. This study aimed to evaluate Bach1 mRNA expression with different treatments for CKD, including conservative treatment (nondialysis), hemodialysis (HD), and peritoneal dialysis (PD). METHODS: ) were enrolled in the study. The mRNA expression of Nrf2, NF-kB, heme oxygenase 1 (HO-1), and Bach1 was evaluated in peripheral blood mononuclear cells using quantitative real-time polymerase chain reaction. Malondialdehyde (MDA) was evaluated as a lipid peroxidation marker. Routine biochemical parameters were also evaluated. FINDINGS: As expected, patients on dialysis were more inflamed. Bach1 mRNA expression was significantly higher in patients undergoing HD than in PD and nondialysis patients (p < 0.007). The mRNA expression of HO-1, NF-kB, and Nrf2 was not different in the groups. CONCLUSION: In conclusion, CKD patients on HD exhibited an upregulation of Bach1 mRNA expression compared to patients on PD treatment and nondialysis CKD patients. The association between Nrf2 and Bach1 expression in these patients warrants further investigation.
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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 | 0.001 |
| 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".