Outcome prediction of microdissection testicular sperm extraction based on extracellular vesicles piRNAs

Microdissection testicular sperm extraction (micro-TESE) could retrieve sperm from the testicles to help the non-obstructive azoospermia (NOA) patients to get their biological children, but also would cause damage to the testicles. Therefore, it is necessary to preoperatively predict the micro-TESE outcome in NOA patients. For this purpose, we aim to develop a model based on extracellular vesicles' (EVs) piRNAs (EV-piRNAs) in seminal plasma.

To identify EV-piRNAs that were associated with spermatogenic ability, small RNA-seq was performed between the NOA group (n = 8) and normal group (n = 8). Validation of EV-piRNA expression in seminal plasma EVs and testicles tissues was used to select EV-piRNAs for the model. Candidate EV-piRNAs were further selected by LASSO regression analysis. Binary logistic regression analysis was used for the models' calculation formula. ROC analysis and Hosmer-Lemeshow test was used to assess the models' performance in the training (n = 20) and validation (n = 25) cohorts.

We identified 8 EV-piRNAs which were associated with spermatogenic ability. Two EV-piRNAs (pir-60351 and pir-61927) were selected by LASSO regression analysis. Finally, we developed a favorable model based on the expression of pir-61927 with good discrimination wherein the AUC was 0.82 (95% CI: 0.63~1.00, p = 0.016) in the training cohort and 0.83 (95% CI: 0.66~1.00, p = 0.005) in the validation cohort, as well as good calibration.

A favorable model based on the expression of pir-61927 in seminal plasma EVs was established to predict the micro-TESE outcome in NOA patients.