High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome

PeerJ

article

Feng Zhang¹  Su-Ping Li³  Tao Zhang¹  Bin Yu¹  Juan Zhang¹  Hai-Gang Ding¹  Fei-Jun Ye⁴  Hua Yuan¹  Ying-Ying Ma¹  Hai-Tao Pan¹  Yao He¹ 

[1]Shaoxing Maternity and Child Health Care Hospital

[2]Obstetrics and Gynecology Hospital of Shaoxing University

[3]Jiaxing University Affiliated Women and Children’s Hospital

[4]Zhoushan Maternity and Child Health Care Hospital

关键词: PCOS;    Serum;    Exosomes;    microRNAs;    Biomarker;   

DOI  :  10.7717/peerj.10998

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

BackgroundPolycystic ovary syndrome (PCOS) is the most common type of endocrine disorder, affecting 5–11% of women of reproductive age worldwide. microRNAs (miRNAs) stably exist in circulating blood encapsulated in extracellular vesicles such as exosomes; therefore, serum miRNAs have the potential to serve as novel PCOS biomarkers.MethodsTo identify miRNA biomarkers that are associated with PCOS, we performed a comprehensive sequence-based characterization of the PCOS serum miRNA landscape. The serum exosomes were successfully isolated and characterized in a variety of ways. Next, sequence-based analysis was performed on serum exosomes to screen the differentially expressed miRNAs in women with and without PCOS.ResultsThe sequence data revealed that the levels of 54 miRNAs significantly differed between PCOS patients and normal controls. The levels of these miRNAs were detected by RT-qPCR. The results show that hsa-miR-1299, hsa-miR-6818-5p hsa-miR-192-5p, and hsa-miR-145-5p are significantly differentially expressed in PCOS patients serum exosomes and identify these microRNAs as potential biomarkers for PCOS. Furthermore, Gene Ontology (GO) analyses and KEGG pathway analyses of the miRNA targets further allowed to explore the potential implication of the miRNAs in PCOS.ConclusionOur findings suggest that serum exosomal miRNAs serve important roles in PCOS and may be used as novel molecular biomarkers for clinical diagnosis.

【 授权许可】

CC BY