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Peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing
Ovarian hyperstimulation syndrome (OHSS) is a frequent iatrogenic complication that arises during assisted reproduction and accounts for approximately 30% of all in vitro fertilization cycles. Using high-throughput sequencing, we investigated the peripheral blood transcriptome of patients with OHSS....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241322/ https://www.ncbi.nlm.nih.gov/pubmed/37519480 http://dx.doi.org/10.1097/RD9.0000000000000058 |
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author | Yan, Bo Wu, Bin Wang, Zhi-Qiang Wei, Yan Ni, Ya-Li |
author_facet | Yan, Bo Wu, Bin Wang, Zhi-Qiang Wei, Yan Ni, Ya-Li |
author_sort | Yan, Bo |
collection | PubMed |
description | Ovarian hyperstimulation syndrome (OHSS) is a frequent iatrogenic complication that arises during assisted reproduction and accounts for approximately 30% of all in vitro fertilization cycles. Using high-throughput sequencing, we investigated the peripheral blood transcriptome of patients with OHSS. METHODS: Peripheral blood samples were obtained from 15 patients in each of the OHSS high-risk and low-risk groups on the ovum pick-up day. Subsequently, high-throughput sequencing was used to obtain the peripheral blood transcriptomes of five patients each from the high- and low-risk groups. Bioinformatic tools were used for mRNA expression profile mapping and screening of differentially expressed genes (DEGs). Bioinformatics techniques were also implemented in the Kyoto Encyclopedia of Genes Genomes (KEGG) signal pathway, Gene Ontology (GO) function, and protein–protein interaction (PPI) network analyses of DEGs. RESULTS: A total of 20,031 genes were identified and 148 were found to be differentially expressed (P <0.05, |log(2)FC| > 0.58), with 52 upregulated and 96 downregulated genes. GO and KEGG analyses indicated that these genes were involved in extracellular corpuscles (GO: 0070062), plasma membrane (GO: 0005886), extracellular regions (GO: 0005576), immune system response (GO: 0006955), PI3K-Akt signaling pathways (hsa04151), cell adhesion molecules (CAMs, hsa04514), focal adhesion (hsa04510), and complement and coagulation cascades (hsa04610). The PPI network and realtime fluorescence quantitative polymerase chain reaction (qPCR) verification predicted that complement C3, von Willebrand factor, and vascular cell adhesion protein 1 proteins are highly implicated in OHSS and may serve as potential biomarkers for future OHSS studies. CONCLUSION: Transcriptome analysis revealed several DEGs related to OHSS risk factors in the peripheral blood, indicating that these DEGs may be novel players in OHSS development. |
format | Online Article Text |
id | pubmed-10241322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102413222023-06-05 Peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing Yan, Bo Wu, Bin Wang, Zhi-Qiang Wei, Yan Ni, Ya-Li Reproductive and Developmental Medicine Original Articles Ovarian hyperstimulation syndrome (OHSS) is a frequent iatrogenic complication that arises during assisted reproduction and accounts for approximately 30% of all in vitro fertilization cycles. Using high-throughput sequencing, we investigated the peripheral blood transcriptome of patients with OHSS. METHODS: Peripheral blood samples were obtained from 15 patients in each of the OHSS high-risk and low-risk groups on the ovum pick-up day. Subsequently, high-throughput sequencing was used to obtain the peripheral blood transcriptomes of five patients each from the high- and low-risk groups. Bioinformatic tools were used for mRNA expression profile mapping and screening of differentially expressed genes (DEGs). Bioinformatics techniques were also implemented in the Kyoto Encyclopedia of Genes Genomes (KEGG) signal pathway, Gene Ontology (GO) function, and protein–protein interaction (PPI) network analyses of DEGs. RESULTS: A total of 20,031 genes were identified and 148 were found to be differentially expressed (P <0.05, |log(2)FC| > 0.58), with 52 upregulated and 96 downregulated genes. GO and KEGG analyses indicated that these genes were involved in extracellular corpuscles (GO: 0070062), plasma membrane (GO: 0005886), extracellular regions (GO: 0005576), immune system response (GO: 0006955), PI3K-Akt signaling pathways (hsa04151), cell adhesion molecules (CAMs, hsa04514), focal adhesion (hsa04510), and complement and coagulation cascades (hsa04610). The PPI network and realtime fluorescence quantitative polymerase chain reaction (qPCR) verification predicted that complement C3, von Willebrand factor, and vascular cell adhesion protein 1 proteins are highly implicated in OHSS and may serve as potential biomarkers for future OHSS studies. CONCLUSION: Transcriptome analysis revealed several DEGs related to OHSS risk factors in the peripheral blood, indicating that these DEGs may be novel players in OHSS development. Lippincott Williams & Wilkins 2023-01-03 2023-06 /pmc/articles/PMC10241322/ /pubmed/37519480 http://dx.doi.org/10.1097/RD9.0000000000000058 Text en Copyright © 2023 Reproductive and Developmental Medicine, Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | Original Articles Yan, Bo Wu, Bin Wang, Zhi-Qiang Wei, Yan Ni, Ya-Li Peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing |
title | Peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing |
title_full | Peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing |
title_fullStr | Peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing |
title_full_unstemmed | Peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing |
title_short | Peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing |
title_sort | peripheral blood transcriptome analysis of patients with ovarian hyperstimulation syndrome through high-throughput sequencing |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241322/ https://www.ncbi.nlm.nih.gov/pubmed/37519480 http://dx.doi.org/10.1097/RD9.0000000000000058 |
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