Dataset Information

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

ABSTRACT:

Purpose

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.

Methods

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.

Results

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.

Conclusions

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.

SUBMITTER: Chen H

PROVIDER: S-EPMC8266920 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Publications

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

Chen Haicheng H Xie Yun Y Li Yanqing Y Zhang Chi C Lv Linyan L Yao Jiahui J Deng Chunhua C Sun Xiangzhou X Zou Xuenong X Liu Guihua G

Journal of assisted reproduction and genetics 20210309 6

<h4>Purpose</h4>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.<h4>Methods</h4>To identify EV-piRNAs t ...[more]

PMID: 33686546

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Project description:BackgroundMany circular RNAs (circRNAs) are specifically expressed in the testes and seminal plasma of patients with non-obstructive azoospermia (NOA), highlighting them as potential predictors of microdissection testicular sperm extraction (micro-TESE) outcomes. Although research has indicated that circular RNA monoglyceride lipase (circ_MGLL) is highly expressed in the testicular tissues of patients with NOA, the association between circ_MGLL expression and sperm retrieval outcomes (SROs) in patients with idiopathic non-obstructive azoospermia (iNOA) receiving micro-TESE remains unclear.MethodsThis single-center, retrospective cohort study enrolled 114 patients with iNOA who underwent micro-TESE at Northwest Women's and Children's Hospital from January 2017 to November 2021. A logistic regression model was used to examine associations between SRO and circ_MGLL expression in testicular tissues, the results of which were used in conjunction with previous findings to establish a nomogram. The predictive performance of the circ_MGLL-based nomogram was evaluated via calibration curves, receiver operating characteristic curves, and decision curve analysis (DCA) using an internal validation method.ResultsThe generalized additive model indicated that the probability of successful SRO for micro-TESE decreased as circ_MGLL expression increased in testicular tissues. Across the entire cohort, univariate logistic regression analysis revealed that circ_MGLL expression was inversely associated with SRO in patients with NOA. This trend did not change after stratification according to age, body mass index, testicular volume, follicle-stimulating hormone (FSH) level, luteinizing hormone (LH) level, testosterone (T) level, or pathological type (or after adjusting for these confounders) (odds ratio <1, P < 0.001). A nomogram was then generated by integrating circ_MGLL, pathological types, and FSH, LH, and T levels. The circ_MGLL-based predictive model achieved satisfactory discrimination, with an area under the curve of 0.857, and the calibration curves demonstrated impressive agreement. The DCA indicated that the net clinical benefit of the circ_MGLL-based predictive model was greater than that of circ_MGLL alone.Conclusioncirc_MGLL is significantly associated with the SRO of micro-TESE in patients with iNOA. The circ_MGLL-based nomogram developed in the current study can predict successful SRO with high accuracy.

Dataset Information

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

Purpose

Methods

Results

Conclusions

Publications

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

Similar Datasets

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