Pentraxin 3 Levels as a Marker of Chronic Inflammation in Patients With Metabolic Syndrome
Bibliographic record
Abstract
Background: Pentraxin 3 (PTX3), an acute phase protein, is involved in chronic inflammation and does increase in atherosclerotic cardiovascular diseases. Metabolic syndrome (MetS) is characterized by chronic inflammation. We aimed to test the hypothesis of whether pentraxin 3 levels are high and do involve in chronic inflammation in patients with MetS. For that purpose, we investigated the association of PTX3 levels with chronic inflammation and its relation with metabolic parameters in patients with MetS compared to the patients with rheumatoid arthritis (RA) and healthy control cases. Methods: We studied 22 non-diabetic adults ? 20 years of age. Patient population consisted of 27 cases with MetS diagnosed according to the IDF (International Diabetes Federation) definition (mean age 47.70 ± 8.92). There were two control groups. The first group consisted of diseased control cases with rheumatoid arthritis (n = 28, mean age 45.93 ± 13.18), and the second one consisted of healthy control cases (n = 27, mean age 46.18 ± 9.27). Study groups were compared with demographic, anthropometric and biochemistry data, and serum PTX3 levels. Correlation analysis was used for determining the relation between PTX3 levels and cardiometabolic parameters. PTX3 levels were measured by ELISA method using Human Pentraxin-3 / TSG-14 kit. Results: Mean serum PTX3 levels were 0.73 ± 0.53 ng / mL, 0.70 ± 0.67 ng / mL and 0.78 ± 0.65 ng / m L in the patients, diseased control, and healthy control groups, respectively. PTX3 levels were similar between the groups (P > 0.05). PTX3 levels and cardiometabolic parameters were not significantly correlated (P > 0.05). Conclusion: These results do not confirm that PTX3 levels do increase as a marker of chronic inflammation in patients with MetS. J Endocrinol Metab. 2012;2(6):220-227 doi: https://doi.org/10.4021/jem142w
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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) | 0.001 | 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".