TGF-beta 1 Codon 10 Polymorphism is Associated with Cerebral SVD
Bibliographic record
Abstract
BACKGROUND: To clarify the role of inflammation in the pathogenesis of cerebral small vessel disease (SVD), we investigated whether the gene encoding transforming growth factor-beta 1(TGF-beta 1) is a risk factor for cerebral SVD as a whole, and for two different SVD subtypes. METHODS: TGF-beta 1 codon10 (T+29C) genotype was determined in 441 Chinese patients (313 male and 128 female) with cerebral SVD and 450 control subjects (326 male and 124 female). Cerebral SVD patients were retrospectively classified into two groups based on neuroimaging findings: lacunar infarction group with 112 patients and ischaemic leukoaraiosis group with 329 patients. RESULTS: Subjects carrying TT homozygote were susceptible to cerebral SVD [adjusted odds ratio (OR) =1.44, 95% confidence interval (CI), 1.05-1.98; P=0.026]. Further analysis of SVD subtypes revealed a moderate association with the ischaemic leukoaraiosis group [OR= 1.60, 95% CI, 1.14-2.25; P=0.007]. CONCLUSIONS: Codon 10 of TGF-beta 1 might be a risk factor for SVD, specifically in ischaemic leukoaraiosis phenotype.
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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) | 0.003 | 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".