Haicheng Chen1, Yun Xie1, Yanqing Li2, Chi Zhang1, Linyan Lv2, Jiahui Yao1, Chunhua Deng1, Xiangzhou Sun1, Xuenong Zou3, Guihua Liu4. 1. Department of Andrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China. 2. Reproductive Medicine Center, The Sixth Affiliated Hospital of Sun Yat-sen University, No. 26 Erheng Road, Yuancun, Tianhe District, Guangzhou, People's Republic of China, 510655. 3. Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Guangzhou, Guangdong, People's Republic of China. 4. Reproductive Medicine Center, The Sixth Affiliated Hospital of Sun Yat-sen University, No. 26 Erheng Road, Yuancun, Tianhe District, Guangzhou, People's Republic of China, 510655. liuguihua@mail.sysu.edu.cn.
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.
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.
Authors: Konstantinos A Toulis; Paschalia K Iliadou; Christos A Venetis; Christos Tsametis; Basil C Tarlatzis; Ioannis Papadimas; Dimitrios G Goulis Journal: Hum Reprod Update Date: 2010-07-01 Impact factor: 15.610
Authors: Roman N Kotelnikov; Mikhail S Klenov; Yakov M Rozovsky; Ludmila V Olenina; Mikhail V Kibanov; Vladimir A Gvozdev Journal: Nucleic Acids Res Date: 2009-03-24 Impact factor: 16.971