Methylene Tetrahydrofolate Reductase Gene Polymorphism and the Risk of Ischemic Stroke in Type 2 Diabetic Egyptian Patients
Bibliographic record
Abstract
Background: A common C677T mutation of methylenetetrahydrofolate reductase (MTHFR) gene is reported to be associated with hyperhomocysteinemia a risk for atherosclerotic vascular diseases and ischemic stroke (IS). Aim: To clarify the possible role of the MTHFR 677C>T polymorphism in predisposition to IS and to assess the relationship of allelic variants of MTHFR gene with homocysteine (Hcy) plasma levels and other risk factors of atherosclerosis and IS in type 2 diabetic Egyptians. Subjects: Group I: 40 healthy non diabetic volunteers. Group II: 40 patients with type 2 diabetes mellitus (DM) without IS. Group III: 40 patients with type 2 DM and IS. Methods: Fasting blood samples were collected for research investigations. HPLC technique was used to estimate plasma Hcy levels. Polymerase chain reaction (PCR) assay with restriction fragment length polymorphism (RFLP) were used to examine the MTHFR polymorphism. Results: The frequencies of T allele and TT genotype were significantly higher in group III patients when compared to group I and group II (P<0.001) .Total plasma Hcy and uric acid levels were significantly higher in group III patients who carry the TT genotype. Conclusion: The MTHFR 677C>T polymorphism is associated with elevated Hcy and uric acid plasma levels which increases the atherogenic risk and the prevalence of IS in type 2 diabetic Egyptian patients.
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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".