Levels of soluble cell adhesion molecules in type 2 diabetes mellitus patients with macrovascular complications
Bibliographic record
Abstract
OBJECTIVE: Type 2 diabetes mellitus (T2DM) is a main risk factor for development of cardiovascular diseases (CVDs) and endothelial dysfunction. This study aimed to investigate serum levels of soluble vascular cell adhesion molecule 1 (sVCAM-1), intercellular adhesion molecule 1 (sICAM-1), and endothelium selectin (sE-selectin) in T2DM patients with macrovascular complications. METHODS: A cross-sectional study of 21 controls, 30 T2DM patients without CVDs, and 30 T2DM patients with CVDs was conducted. Serum levels of soluble adhesion molecules including sVCAM-1, sICAM-1, and sE-selectin were determined using ELISA. RESULTS: Serum levels of sVCAM-1, sICAM-1, and sE-selectin were higher in T2DM patients than in controls. Levels of serum sVCAM-1 were higher in T2DM patients with CVDs compared with T2DM patients without CVDs. In T2DM patients with CVDs, significant positive associations were observed between sVCAM-1, sICAM-1, and sE-selectin levels (r = 0.575, p = 0.001 and r = 0.378, p = 0.040). CONCLUSIONS: Circulating levels of soluble adhesion molecules were elevated in T2DM patients, regardless of whether the patients had cardiovascular complications. Only sVCAM-1 was considered a useful marker for the prediction of CVDs in T2DM 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 | 0.001 | 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".