Search for Microorganisms in Men with Urologic Chronic Pelvic Pain Syndrome: A Culture-Independent Analysis in the MAPP Research Network
Bibliographic record
Abstract
PURPOSE: We used next-generation, state-of-the-art, culture independent methodology to survey urine microbiota of males with urologic chronic pelvic pain syndrome and control participants enrolled in the MAPP Network to investigate a possible microbial etiology. MATERIALS AND METHODS: Male patients with urologic chronic pelvic pain syndrome and matched controls were asked to provide initial, midstream and post-prostatic massage urine specimens. Specimens were analyzed with Ibis T-5000 Universal Biosensor technology to provide comprehensive identification of bacterial and select fungal species. Differences between urologic chronic pelvic pain syndrome and control study participants for the presence of species or species variation in a higher taxonomic grouping (genus) were evaluated using permutational multivariate analysis of variance and logistic regression. RESULTS: Initial and midstream urine specimens were obtained from 110 (post-prostatic massage urine in 67) participants with urologic chronic pelvic pain syndrome and 115 (post-prostatic massage urine in 62) controls. Overall 78, 73 and 54 species (42, 39 and 27 genera) were detected in initial, midstream and post-prostatic massage urine specimens, respectively. Mean (SD) initial, midstream and post-prostatic massage urine species count per person was 1.62 (1.28), 1.38 (1.36) and 1.33 (1.24) for cases, and 1.75 (1.32), 1.23 (1.15) and 1.56 (0.97) for controls, respectively. Overall species and genus composition differed significantly between participants with urologic chronic pelvic pain syndrome and controls in initial stream urine (p=0.002 species level, p=0.004 genus level), with Burkholderia cenocepacia overrepresented in urologic chronic pelvic pain syndrome. No significant differences were observed at any level in midstream or post-prostatic massage urine samples. CONCLUSIONS: Assessment of baseline culture-independent microbiological data from male subjects enrolled in the MAPP Network has identified overrepresentation of B. cenocepacia in urologic chronic pelvic pain syndrome. Future studies are planned to further evaluate microbiota associations with variable and changing urologic chronic pelvic pain syndrome symptom patterns.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".