Interleukin 17A in Patients With Stable Coronary Artery Disease: Are There Differences According to Gender?
Bibliographic record
Abstract
BACKGROUND: Coronary artery disease (CAD) is a current major public health concern. Immunity and inflammation are involved in all phases of CAD and there is a dynamic balance between cells and molecules. Interleukin 17A (IL17A) concentrations are higher in male patients with acute myocardial infarction than in women. In this study, we evaluated if the IL17A concentrations in male CAD patients (MPs) differed from those in female patients (FPs) and male controls (MCs). Moreover, FPs were compared with female controls (FCs). METHODS: This was a cross-sectional, prospective, and analytical study conducted between March 2012 and August 2013 that enrolled 40 patients (24 men and 16 women) with stable CAD and 20 healthy volunteers (12 men and 8 women) were selected as controls and were matched with the patients (1:2) for sex and age (± 3 years). Comparative analyses of IL17A concentrations in serum and cell culture with and without stimulation were performed between MPs and MCs, MPs and FPs, and FPs and FCs. The lower detection limit was 3.91 pg/mL. RESULTS: The comparison of the IL17A concentrations showed: after 48 hours of cell culture with stimulus: MP = 451.67 (99.02 - 892.58) vs. MC = 135 (3.91 - 285), P = 0.04; after 48 hours of cell culture with stimulus: MP = 451.67 (99.02 - 892.58) vs. FP = 131.21 (3.91 - 231.97), P = 0.02; after 48 hours of cell culture with stimulus: FP = 131.21 (3.91 - 231.97) vs. FC = 173.78 (3.91 - 642), P = 0.24. CONCLUSION: This study revealed higher IL17A concentrations in the stimulated cells isolated from the MPs than in those isolated from FPs and MCs. These findings support the hypothesis that when exposed to certain stimuli, cells isolated from MPs with chronic CAD may produce higher IL17A concentrations than those from FPs and MCs.
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 | 0.001 | 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".