The relationship of apolipoprotein E gene polymorphism to metabolic syndrome and coronary artery disease
Bibliographic record
Abstract
Objective To evaluate the relationship of apolipoprotein E(ApoE)gene polymorphism to metabolic syndrome(MS) and coronary artery disease(CHD). Methods Two hundreds and three patients with essential hypertension, diabetes mellitus or essential hypertension complicated with diabetes mellitus were divided into two groups: metabolic syndrome (WHO definition, MS+, n=96) and Non metabolic syndrome (MS-, n=107);coronary artery disease(CHD+, n=84 )and non coronary artery disease(CHD-, n=119); metabolic syndrome complicated with coronary artery disease(MS++CHD, n=55)and(MS+,n=39). ApoE genetype was determined by polymerase chain reaction restriction fragment length polymorphism (PCR RFLP). The sequencing of the PCR product was determined by using fluorescent labeling automatic method to detect single nucleotide polymorphisms (SNPs). Results (1)The frequency of e4 allele was higher in MS+compared with that in MS-(15.6%vs 8.9%,P=0.038);(2)The frequency ofe4 alleles in the CHD+was significantly higher than that in CHD-(16.8%vs 8.8%,P=0.017);(3)The frequency of e4 allele was higher in MS+CHD compared with that in MS(21.8%vs 7.3%,P=0.006);on the contrary,The frequency of e2 allele was lower in MS+CHD compared with that in MS(0.9%vs 8.5%,P=0.009);(4) The sequence of the ApoE gene was used direct sequencing of the PCR products. ApoE gene analysis showed a nucleotide substitution of T to C at the sequence of the PCR products 137 and 210 respectively in exon 3. These mutations were confirmed by the RFLP method. Conclusions It is suggests that e4 allele tends to increase the risk of MS and CHD, and there is a strong association between the frequency of e4 allele and MS+CHD. e2 allele may be a protecting factor of CHD.
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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".