A quantitative analysis of purinoceptor expression in the bladders of patients with symptomatic outlet obstruction
Bibliographic record
Abstract
OBJECTIVE: To compare the expression of the seven known P2X receptors in human bladder from male patients with detrusor instability caused by symptomatic bladder outlet obstruction with that from control bladders, using a quantitative reverse transcription-polymerase chain reaction (RT-PCR) method. PATIENTS AND METHODS: Real-time quantitative RT-PCR provides a system for detecting and analysing RNA. Bladder biopsies were obtained from nine patients undergoing prostate surgery and control biopsies were obtained from eight age-matched men undergoing routine bladder endoscopy studies, and who were asymptomatic. Total RNA was extracted from each sample and 10 ng of this used for individual PCR reactions. The expression levels of the seven P2X genes in the total RNA were then determined. RESULTS: In the control bladder, P2X1 was by far the predominant purinergic receptor at the RNA level, the remainder consistently present in the order P2X1 >> P2X4 > P2X2 > P2X7 > P2X5 >> P2X3 = P2X6 = 0. Calponin, a smooth muscle-specific protein, was used as a marker for smooth muscle content. In bladder from symptomatic patients, the P2X1/calponin ratio was greater than that in controls (P = 0.016). There appeared to be no difference in P2X2, but P2X4, P2X5, and P2X7 were all greater in the symptomatic bladder than in the controls, although these differences were not significant. CONCLUSION: P2X1 is the predominant purinoceptor subtype in the human male bladder, consistent with pharmacological evidence. The amount of P2X1 receptor per smooth muscle cell is greater in the obstructed than in control bladder, suggesting an increase in purinergic function in the unstable bladder arising from bladder outlet obstruction.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".