Global Analysis in Nonobstructive Azoospermic Testis Identifies miRNAs Critical to Spermatogenesis
Why this work is in the frame
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Bibliographic record
Abstract
Introduction . The etiology of male infertility characterized by non‐obstructive azoospermia is largely unknown, especially at the molecular level. Identifying dysregulated microRNAs (miRNAs) in male infertility would be useful to achieve a more profound understanding of its pathogenesis. Methods . Small RNA sequencing was performed on the testicular tissues of 10 nonobstructive azoospermic patients with the Sertoli cell only syndrome (SCOS) and 8 obstructive azoospermic individuals with normal spermatogenesis. The expressions of two dysregulated miRNAs were validated by quantitative real‐time polymerase chain reaction, confirming the results obtained by sequencing analysis. Bioinformatic analysis was undertaken to identify the main pathways impaired in complete spermatogenic failure. Results . A total of 136 miRNAs were detected to be differentially expressed in the Sertoli cell only syndrome group in comparison with the obstructive azoospermia group. Bioinformatic analysis suggested that the altered miRNAs were substantially involved in pathways related to spermatogenesis. Conclusions . Our study investigates the entire profile of miRNAs with emphasis on the crucial role of miRNAs in idiopathic Sertoli cell only syndrome, suggesting potential targets for employing molecular therapeutic strategies in the treatment of spermatogenic failure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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 | 0.001 |
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 it