Content of sP-selectin and Cytokines in Blood of Patients with Type 2 Diabetes Mellitus and Arterial Hypertension Depending on Diabetes Compensation Condition
Bibliographic record
Abstract
<p>The goal of our research has been to study sР-selectin and cytokine content changes, namely ІL-2, ІL-6 and TNF-α in blood plasma of patients with type 2 diabetes mellitus with varying compensation for the disease and arterial hypertension, as well as to investigate a possible interrelation between sР-selectin and cytokines. To achieve the goal 137 patients with type 2 diabetes mellitus with AH of the І-ІІ stages and without AH (72 women and 65 men) have been examined. The levels of sР-selectin, ІL-2, ІL-6, TNF-a in blood serum were determined by means of immunoenzymatic assay method. As a result, a reliable increase in sP-selectin level in blood serum has been detected in patients with type 2 diabetes mellitus with deterioration of diabetes compensation along with АH; increase in ІL-6 level in groups with good and satisfactory compensation for diabetes and TNF -α in groups with bad compensation with the presence of АH.<em> </em>A reverse correlation between the content of sP-selectin and TNF-α in groups of those examined with non-compensated type 2 DM, associated with АH and without AH, stronger in a group of patients with type 2 DM and AH. The level of sP-selectin in blood increases with the deterioration of type 2 DM compensation along with AH. Most probable reverse correlations between sP-selectin and TNF-a levels in groups of patients with insufficient compensation for diabetes may indicate a mutually potential role of these factors in the development and progression of type 2 DM decompensation and AH.</p>
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 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".