INTERLEUKIN-10 LEVELS IN SEMINAL PLASMA: IMPLICATIONS FOR CHRONIC PROSTATITIS-CHRONIC PELVIC PAIN SYNDROME
Bibliographic record
Abstract
PURPOSE: Chronic prostatitis-chronic pelvic pain syndrome is a disease of unknown pathogenesis. We investigated whether the chronic inflammation and pain experienced by patients may be caused by an imbalance of proinflammatory versus anti-inflammatory cytokines within the prostate, namely interleukin (IL)-8, interferon-gamma and IL-2 versus IL-10. We measured these inflammatory cytokines in seminal plasma as a reflection of the prostate environment. MATERIALS AND METHODS: We measured levels of IL-8, interferon-gamma, IL-2 and IL-10 in the seminal plasma of 31 patients with chronic prostatitis-chronic pelvic pain syndrome and 14 controls using enzyme-linked immunosorbent assay. Results were correlated with health related quality of life, as measured by the Multidimensional Pain Inventory, McGill pain questionnaire and International Prostate Symptom Score. RESULTS: The cytokines analyzed were detectable in the seminal plasma of patients with chronic prostatitis-chronic pelvic pain syndrome and controls. Interferon-gamma, IL-2 and IL-10 levels were statistically greater in patients. Furthermore, IL-10 levels correlated directly with measures of life interference (r = 0.52, p <0.01) and pain severity (r = 0.53, p <0 0.01), and inversely with spousal support (r = -0.39, p <0.04). CONCLUSIONS: Our study suggests that IL-10 may have a role in the pain symptoms experienced by patients with chronic prostatitis-chronic pelvic pain syndrome.
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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 | 0.002 | 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 | 0.001 |
| 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 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".