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Identification and Potential Value of Candidate Genes in Patients With Non-obstructive Azoospermia - 13/06/22

Doi : 10.1016/j.urology.2022.02.009 
Yan Shen 1, 2, Xueqing Wu 2, Qiang Li 2, Xiang Huang 2, Jinbao Wang 2, Lijiang Zhao 2, Taijian Zhang 1, 4, 5, Xujun Xuan 1, 3, 4, 5,
1 Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China 
2 Center for Reproductive Medicine, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China 
3 Department of Andrology, The Seventh Affiliated Hospital, Sun Yat-sen University, ShenZhen, Guangdong, China 
4 National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, China 
5 Key laboratory for Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, China 

Address correspondence to: Dr. Xujun Xuan, No.628, Zhenyuan Rd, Guangming (New) Dist, 518107, Shenzhen, China.No.628, Zhenyuan Rd, Guangming (New) DistShenzhen518107China

Abstract

Objectives

To explore the candidate genes involved in the pathogenesis of non-obstructive azoospermia (NOA) using bioinformatics analysis and experimental verification.

Methods

The gene expression profiles (GSE9210) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified. We performed function enrichment analyses, constructed protein–protein interaction (PPI) network and identified hub genes. Further, the miRNA-hub genes regulatory network was constructed. Finally, the expression level of CEP55 was verified using RT-qPCR and Western blot, and its diagnostic value was analyzed by the receiver operating characteristic (ROC) curve.

Results

626 DEGs were identified, including 11 upregulated and 615 downregulated genes. Function enrichment analyses showed that these DEGs were significantly enriched in spermatogenesis, fertilization, meiotic cell cycle, flagellated sperm motility, sperm capacitation, spermatid nucleus differentiation and male meiotic nuclear differentiation. The top 10 hub genes were identified including CCNB2, BUB1, TOP2A, BIRC5, CENPF, PBK, NCAPG, DLGAP5, NUF2 and CEP55. In the miRNAs prediction, the hsa-miRNA-449a, hsa-miRNA-34c-5p and hsa-miRNA-34b-5p may be implicated in NOA. In the validation stage, the expression level of CEP55 was significantly decreased in patients with NOA compared to patients with OA. ROC analysis showed that CEP55 had a good diagnostic value for NOA and the combination of CEP55, FSH and mean testicular volume enhanced the prediction performance.

Conclusions

This study identified key genes associated with NOA and their biological functions. Furthermore, CEP55 might play an important role in the pathogenesis of NOA, which will provide novel insights into the targeting therapy of NOA.

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Plan


 Financial Disclosure: The authors declare that they have no relevant financial interests.
 Funding Support: The present study was supported by the project sponsored by the Research Fund of National Key Research and Development Program (grant no. 2018YFC1002103) and the Research Fund of Children's Hospital of Shanxi and Women Health Center of Shanxi (grant no. 201526).
 Availability of data and materials: The datasets analyzed during the current study are available in the GEO (https://www.ncbi.nlm.nih.gov/geo/) databases.


© 2022  The Authors. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 164

P. 133-139 - juin 2022 Retour au numéro
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