Relationship between hemoglobin and CD40 ligand in prediabetes
Bibliographic record
Abstract
PURPOSE: Hemoglobin (Hb) regulates the endothelial function by modulating the bio-availability of NO at the tissue level. A significant direct relationship is present between the Hb levels and endothelial functions in patients with Type 2 diabetes. Testing whether this association also exists in subjects with prediabetes is important because prediabetes is associated with an increased risk of cardiovascular disease and mortality. Therefore, we investigated the association of Hb both with the classical cardiac risk factors and the markers for endothelial dysfunction and inflammation, in subjects with impaired glucose tolerance (IGT). METHODS: We enrolled 69 normotensive, and cardiovascular events free subjects with IGT (M=40, age=45.50+/-6.8 yr). Plasma insulin, hsCRP, soluble CD40L, vonWillebrand factor, p-selectin levels were measured. The parameters given according to the higher and lower median Hb values of the subjects were compared. RESULTS: Subjects with the higher Hb levels exhibited lower HDL-C (46.68+/-10.8 mg/dl vs 51.5+/-8.9 mg/dl; P=0.04) and higher systolic (122.57+/-6.2 mmHg vs 116.17+/-7.4 mmHg; p < 0.001) and diastolic (79.14+/-3.73 mmHg vs 75.58+/-6.1 mmHg; P=0.005) blood pressures and sCD40L (7.9+/-3.8 ng/ml vs 6.07+/-2.1 ng/ml; P=0.02) levels. Hb levels were correlated to the HDL cholesterol, sCD40L, systolic and diastolic blood pressures and waist circumference (r=-0.28, P=0.02; r=0.29, P=0.02; r=0.53, P < 0.001; r=0.41, P=0.001; r=0.42, P < 0.001 respectively). According to the multiple logistic regression analysis, Hb was the determinant of sCD40L levels (beta=0.437, P < 0.001). CONCLUSION: These results indicate that there may be a link with higher Hb values and cardiovascular risk factors in patients with IGT. Further investigation is warranted to understand the clinical implications of these findings in subjects with prediabetes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".