Positive association between plasma levels of oxidized low‐density lipoprotein and myeloperoxidase after hemodialysis in patients with diabetic end‐stage renal disease
Bibliographic record
Abstract
End-stage renal disease (ESRD) patients undergoing hemodialysis (HD) have a high prevalence of cardiovascular events. Low-density lipoprotein (LDL) in dialysis patients has been shown to be susceptible to in vitro peroxidation; therefore, oxidized-LDL (ox-LDL) could be generated in these patients. Moreover, myeloperoxidase (MPO) released from activated neutrophils may play a role in the induction of LDL oxidation. The purpose of this study was to investigate the relationship between plasma ox-LDL levels, plasma MPO levels, and serum high-sensitivity C-reactive protein (hs-CRP) levels during initial HD in patients with diabetic ESRD. Patients (n=28) had serial venous blood samples drawn before and after HD at the initial, second, and third sessions. Plasma ox-LDL levels were measured using a specific monoclonal antibody (DLH3), and plasma MPO levels were measured using an enzyme-linked immunosorbent assay kit. Plasma ox-LDL levels and MPO levels after a single HD session increased significantly (ox-LDL, P<0.005; MPO, P<0.0001) compared with levels before that HD session. However, the increase was transient since the levels returned to pre-HD session levels. Additionally, plasma MPO levels showed a positive correlation with plasma ox-LDL levels during HD (R=0.62, P=0.0029). No significant change was observed in serum hs-CRP levels before and after each HD session. This study demonstrates that plasma MPO levels are directly associated with plasma ox-LDL levels in diabetic ESRD patients during initial HD. These findings suggest a pivotal role for MPO and ox-LDL in the progression and acceleration of atherosclerosis in patients undergoing HD.
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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 | 0.001 |
| 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".