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

BACKGROUND: Polycystic 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...

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Autores principales: Zhang, Feng, Li, Su-Ping, Zhang, Tao, Yu, Bin, Zhang, Juan, Ding, Hai-Gang, Ye, Fei-Jun, Yuan, Hua, Ma, Ying-Ying, Pan, Hai-Tao, He, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958896/
https://www.ncbi.nlm.nih.gov/pubmed/33763302
http://dx.doi.org/10.7717/peerj.10998
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author Zhang, Feng
Li, Su-Ping
Zhang, Tao
Yu, Bin
Zhang, Juan
Ding, Hai-Gang
Ye, Fei-Jun
Yuan, Hua
Ma, Ying-Ying
Pan, Hai-Tao
He, Yao
author_facet Zhang, Feng
Li, Su-Ping
Zhang, Tao
Yu, Bin
Zhang, Juan
Ding, Hai-Gang
Ye, Fei-Jun
Yuan, Hua
Ma, Ying-Ying
Pan, Hai-Tao
He, Yao
author_sort Zhang, Feng
collection PubMed
description BACKGROUND: Polycystic 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. METHODS: To 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. RESULTS: The 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. CONCLUSION: Our findings suggest that serum exosomal miRNAs serve important roles in PCOS and may be used as novel molecular biomarkers for clinical diagnosis.
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spelling pubmed-79588962021-03-23 High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome Zhang, Feng Li, Su-Ping Zhang, Tao Yu, Bin Zhang, Juan Ding, Hai-Gang Ye, Fei-Jun Yuan, Hua Ma, Ying-Ying Pan, Hai-Tao He, Yao PeerJ Genomics BACKGROUND: Polycystic 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. METHODS: To 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. RESULTS: The 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. CONCLUSION: Our findings suggest that serum exosomal miRNAs serve important roles in PCOS and may be used as novel molecular biomarkers for clinical diagnosis. PeerJ Inc. 2021-03-12 /pmc/articles/PMC7958896/ /pubmed/33763302 http://dx.doi.org/10.7717/peerj.10998 Text en ©2021 Zhang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Genomics
Zhang, Feng
Li, Su-Ping
Zhang, Tao
Yu, Bin
Zhang, Juan
Ding, Hai-Gang
Ye, Fei-Jun
Yuan, Hua
Ma, Ying-Ying
Pan, Hai-Tao
He, Yao
High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome
title High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome
title_full High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome
title_fullStr High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome
title_full_unstemmed High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome
title_short High throughput microRNAs sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome
title_sort high throughput micrornas sequencing profile of serum exosomes in women with and without polycystic ovarian syndrome
topic Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958896/
https://www.ncbi.nlm.nih.gov/pubmed/33763302
http://dx.doi.org/10.7717/peerj.10998
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