Methionine Synthase Reductase A66G Variant in Pediatric Acute Lymphoblastic Leukemia Patients
Bibliographic record
Abstract
Background: Methionine synthase reductase, which is encoded by the methionine synthase reductase (MTRR) gene, plays a crucial role in the methylation reactions and the production of DNA and its epigenetic processes. There was a correlation between the MTRR (A66G) polymorphism and the likelihood of developing acute lymphoblastic leukemia (ALL). This study was carried out to investigate the correlation among pediatric ALL cases. Methods: Within the participant population of this case-control study, there were 86 individuals who had been diagnosed with ALL, and there were also 150 healthy persons who acted as the control group. To determine the MTRR (A66G) polymorphism, DNA was first extracted and then observed through the use of real-time polymerase chain reaction. Results: The results of the flow cytometry analysis showed that the prevalence of B-cell ALL (B-ALL) was much higher than that of T-cell ALL (T-ALL), which accounted for only 20 cases (23.3%). Upon comparing the hematological parameters of ALL subtypes in patients with T-ALL, it was discovered that there was a statistically significant higher mean total white blood count (P < 0.0005) and mean blast percentage (P = 0.050). Upon examination, it was discovered that both of these figures were much higher than the average. In accordance with the results of the molecular analysis, the occurrence of the MTRR homozygous GG genotype was found to be considerably lower in the patients’ group (4.65%) than in the control group (20.67%). However, the MTRR homozygous AA and heterozygous AG were nearly similar in the two groups. The risk of acute lymphoblastic leukemia and MTRR genotypes, on the other hand, exhibited a correlation that was not statistically significant (P = 0.082). Conclusions: The study’s findings showed that among pediatric ALL patients, the MTRR A66G polymorphism was not linked to an increased risk of ALL.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".