Xiao Jiang1, Jingyu Li1, Bingqian Zhang1, Jingmei Hu1, Jinlong Ma1, Linlin Cui2, Zi-Jiang Chen3. 1. Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, People's Republic of China; Shandong Key Laboratory of Reproductive Medicine, Jinan, People's Republic of China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, People's Republic of China. 2. Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, People's Republic of China; Shandong Key Laboratory of Reproductive Medicine, Jinan, People's Republic of China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, People's Republic of China. Electronic address: fdclear3@126.com. 3. Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China; Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, People's Republic of China; Shandong Key Laboratory of Reproductive Medicine, Jinan, People's Republic of China; Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, People's Republic of China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, People's Republic of China; Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, People's Republic of China; Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Abstract
OBJECTIVE: To examine different expression profiles of plasma exosomal microRNA (miRNA) in polycystic ovary syndrome (PCOS) patients and controls, and their potential roles in PCOS pathogenesis. DESIGN: Experimental study. SETTING: Center for reproductive medicine. PATIENT(S): Seventy-five PCOS patients and 75 age-matched controls. INTERVENTION(S): Plasma exosomes miRNAs sequenced from 15 PCOS patients and 15 controls. MAIN OUTCOME MEASURE(S): Plasma exosomal miRNA expression and the correlation between PCOS phenotypes and miRNA expression. RESULT(S): The sequenced plasma exosomes miRNAs were further determined by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) in a larger cohort, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Correlation analysis and receiver operating characteristic (ROC) curve analysis were used to determine the association between PCOS phenotypes and miRNA expression. The miRNA sequencing revealed 34 exosomal miRNAs were differentially expressed between PCOS patients and controls. Via qRT-PCR, five differentially expressed miRNAs (miR-126-3p, miR-146a-5p, miR-20b-5p, miR-106a-5p, and miR-18a-3p) were identified. The GO and KEGG analyses predicted their target functions included axon guidance, mitogen-activated protein kinase (MAPK) signaling, endocytosis, circadian rhythms, and cancer pathways. The expression of these miRNAs correlated with menstrual cycle, antral follicle count, hormone level, and combined yielded a ROC curve area of 0.781 in discriminating PCOS patients from the controls. CONCLUSION(S): Differential expression of plasma exosomal miRNAs may confer a risk of PCOS and may be helpful in distinguishing PCOS patients from controls. Certain miRNA expression may associated to the disease progression, which could help in an epigenetic understanding of the pathophysiology of PCOS.
OBJECTIVE: To examine different expression profiles of plasma exosomal microRNA (miRNA) in polycystic ovary syndrome (PCOS) patients and controls, and their potential roles in PCOS pathogenesis. DESIGN: Experimental study. SETTING: Center for reproductive medicine. PATIENT(S): Seventy-five PCOSpatients and 75 age-matched controls. INTERVENTION(S): Plasma exosomes miRNAs sequenced from 15 PCOSpatients and 15 controls. MAIN OUTCOME MEASURE(S): Plasma exosomal miRNA expression and the correlation between PCOS phenotypes and miRNA expression. RESULT(S): The sequenced plasma exosomes miRNAs were further determined by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) in a larger cohort, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Correlation analysis and receiver operating characteristic (ROC) curve analysis were used to determine the association between PCOS phenotypes and miRNA expression. The miRNA sequencing revealed 34 exosomal miRNAs were differentially expressed between PCOSpatients and controls. Via qRT-PCR, five differentially expressed miRNAs (miR-126-3p, miR-146a-5p, miR-20b-5p, miR-106a-5p, and miR-18a-3p) were identified. The GO and KEGG analyses predicted their target functions included axon guidance, mitogen-activated protein kinase (MAPK) signaling, endocytosis, circadian rhythms, and cancer pathways. The expression of these miRNAs correlated with menstrual cycle, antral follicle count, hormone level, and combined yielded a ROC curve area of 0.781 in discriminating PCOSpatients from the controls. CONCLUSION(S): Differential expression of plasma exosomal miRNAs may confer a risk of PCOS and may be helpful in distinguishing PCOSpatients from controls. Certain miRNA expression may associated to the disease progression, which could help in an epigenetic understanding of the pathophysiology of PCOS.
Authors: Ye Tian-Min; Lin Suxia; Ding Shufang; Cao Dandan; Luo Long-Dan; Yeung William Shu Biu Journal: Dis Markers Date: 2022-08-28 Impact factor: 3.464