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Application of miRNA as biomarker to prediction of IVF-ET outcome

A technology of IVF-ET and biomarkers, applied in the application field of predicting the outcome of IVF-ET, can solve the problems of little knowledge

Pending Publication Date: 2021-03-16
SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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  • Application Information

AI Technical Summary

Problems solved by technology

However, little is known about whether or which miRNAs regulate BDNF expression fluctuations in human ovaries during in vitro fertilization and embryo transfer (IVF-ET), and how it relates to IVF pregnancy outcomes

Method used

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  • Application of miRNA as biomarker to prediction of IVF-ET outcome
  • Application of miRNA as biomarker to prediction of IVF-ET outcome
  • Application of miRNA as biomarker to prediction of IVF-ET outcome

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Experimental program
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Embodiment 1

[0063] 1. Materials and Methods

[0064] 1.1 Patient recruitment

[0065] This prospective observational study included 162 women who participated in IVF-ET treatment at the Center of Reproductive Medicine, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine from May 2018 to March 2019. Patients with polycystic ovary syndrome (PCOS), endometriosis, premature ovarian failure, unexplained infertility, and patients with partners suffering from any male infertility disease were excluded from the study. Clinical characteristics of patients were collected from electronic medical records. This study was conducted in accordance with the guidelines of the Declaration of Helsinki and was approved by the Medical Ethics Committee of the Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine. All patients signed the informed consent.

[0066] 1.2 Determination of BDNF in follicular fluid

[0067] The protein expression level ...

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Abstract

The invention provides an application of miRNA as a biomarker to prediction of IVF-ET outcome, and belongs to the technical field of biomedicines. According to the invention, a series of bioinformatics analysis tools are utilized to predict some candidate miRNAs which are used for targeted regulation of BDNF and are related to follicular development. FFs from mature follicles ( greater than 18 mm)or immature follicles smaller than 15 mm) are then collected, and whether the expression of the miRNAs is negatively correlated to the expression of the BDNF is evaluated. Finally, whether the miRNAscan become potential biomarkers for predicting the IVF-ET outcome or not is further researched. Therefore, two miRNAs, namely miR-103a-3p and miR-10a-5p, are finally screened out, the expression level of the miRNAs in the FF around specific oocyte can predict the outcome of the subsequent IVF treatment of the oocyte, and good practical application value is achieved.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and specifically relates to the application of miRNA as a biomarker in predicting IVF-ET outcome. Background technique [0002] The information disclosed in this background section is only intended to increase the understanding of the general background of the present invention, and is not necessarily taken as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. [0003] The adult ovary is an important dynamic organ that regularly develops and produces fertilizable mature oocytes from an ovarian reserve containing a large number of immature follicles. The process of folliculogenesis is tightly regulated by systemic hormonal signaling and the local microenvironment of the ovary. Changes in any of these factors due to age, conditions such as polycystic ovary syndrome (PCOS) or ovarian endometriosis can hinder oocy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6876C12N15/113C12M1/34C12M1/00
CPCC12Q1/6876C12Q2600/158C12Q2600/178
Inventor 王越张琪瑶李小兵闻姬黄自强
Owner SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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