Detection of Apolipoprotein E Gene Polymorphism and Blood Lipid Level in Hemodialysis Patients
Bibliographic record
Abstract
BACKGROUND: The aim was to investigate the clinical characteristics of lipid metabolism and the effect of apolipoprotein E (ApoE) gene polymorphism on lipid metabolism in hemodialysis patients. METHODS: The serum levels of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDLC), low-density lipoprotein cholesterol (LDLC), ApoA1, ApoB, ApoE and lipoprotein Lp(a) were detected by polymerase chain reaction-restriction fragment length (PCR-RFLP). RESULTS: The level of serum TG was significantly increased and the level of HDLC was significantly decreased in hemodialysis patients. Serum TG level was 33% higher than normal, and HDLC was 10.4% less than normal. The correlation analysis showed that TG level was significantly correlated with serum albumin level and extracorporeal circulation blood flow during dialysis. HDLC was significantly correlated with KT/V. The incidence of hypertension in hemodialysis patients was 73.6% and cardiovascular disease was 25%. The level of TG in the cardiovascular disease group was significantly higher than that in the non-cardiovascular disease group, and there was no significant difference between the hypertensive group and the non-hypertensive group. ApoE gene polymorphism test showed that the frequency of ApoE genotype ε3/3 and allele ε3 was the highest in hemodialysis patients, and the levels of TC, TG and LDLC were higher in ApoE genotype ε3/4 + ε4/4. CONCLUSION: The levels of serum TG and ApoB were significantly increased in patients with hemodialysis, and HDLC and other indexes were significantly decreased. The level of TG in patients with cardiovascular complications was significantly higher than in patients without complications. TG level was significantly correlated with serum albumin level and extracorporeal circulation blood flow during dialysis. HDLC was significantly correlated with KT/V. Hemodialysis patients who had ApoE allele ε4 are prone to lipid metabolism disorders.
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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".