microRNA signature is altered in both human epididymis and seminal microvesicles following vasectomy
Bibliographic record
Abstract
STUDY QUESTION: Does vasectomy impact microRNA (miRNA) expression in the epididymis and seminal microvesicles (SMVs) in a non-reversible manner? SUMMARY ANSWER: The miRNA signature in the epididymis and SMVs is altered by vasectomy and only partially restored after vasovasostomy surgery. WHAT IS KNOWN ALREADY: Vasectomy modifies the epididymal transcriptome and triggers non-reversible changes that affect sperm function. Some vasovasostomized men experience a reduced fertility outcome. STUDY DESIGN, SIZE, DURATION: Human epididymides provided by three control donors and three vasectomized donors were collected under artificial circulation through Transplant Quebec (Quebec, QC, Canada). Semen from three normal, three vasectomized and five vasovasostomized donors was provided by the andrology clinic. PARTICIPANTS/MATERIALS, SETTING, METHODS: Epididymides and semen were collected from donors between 26 and 50 years of age with no known pathologies that could potentially affect reproductive function. After RNA extraction, epididymal miRNA profiles were determined by microarray (Affimetrix), compared by ANOVA and confirmed by real-time PCR. The correlation between miRNA and gene expression profiles was investigated by an integrated genomic approach. miRNA signature from purified SMVs was established by microarray. MAIN RESULTS AND THE ROLE OF CHANCE: Vasectomy significantly modified the expression of epididymal miRNAs, which were mainly correlated with mRNAs for transcription factors. Vasectomy also impacted the detection of 118 of the miRNAs found in SMVs from normal donors, including miRNAs of epididymal origin contained in epididymosomes. Among seminal miRNAs changes, 52 were reversible according to the expression levels of miRNA in the semen samples from vasovasostomized donors, while 66 were non-reversible. LIMITATIONS, REASONS FOR CAUTION: Identification of miRNAs responsive to vasectomy was determined with a limited number of samples due to the low number of human specimen samples available. WIDER IMPLICATIONS OF THE FINDINGS: According to the critical role played by miRNAs in all biological systems, we believe that miRNA changes occurring upstream and downstream of the vasectomy site may be related to the reduced fertility outcome reported following surgically successful vasectomy reversal. This study may provide new tools for predicting vasovasostomy success and open avenues for the identification of the molecular players involved in male infertility.
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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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".