Suppr超能文献

正常妊娠中微小RNA的分析:血清与血浆的比较。

Profiling microRNAs in uncomplicated pregnancies: Serum vs. plasma.

作者信息

Parker Victoria L, Gavriil Eleftherios, Marshall Benjamin, Pacey Allan, Heath Paul R

机构信息

Department of Oncology and Metabolism, The University of Sheffield, Sheffield S10 2SF, United Kingdom.

Sheffield Institute of Translational Neuroscience, The University of Sheffield, Sheffield S10 2HQ, United Kingdom.

出版信息

Biomed Rep. 2021 Feb;14(2):24. doi: 10.3892/br.2020.1400. Epub 2020 Dec 14.

Abstract

Blood-derived microRNAs (miRNAs/miRs) are ideal clinical biomarkers, as they can be relatively non-invasively extracted and are stable across a range of storage conditions. However, the concentration and profile of miRNAs differ between specific patient groups and starting media, which must be a key consideration before embarking upon uses for clinical applications. The optimum blood-derived starting media for biomarker discovery involving pregnant women with an uncomplicated pregnancy has not been determined. Paired serum and plasma samples were collected from 10 pregnant women with uncomplicated low-risk pregnancies at three time points: i) During the second trimester of pregnancy; ii) during the third trimester; and iii) 6 weeks post-partum. Sample miRNA content was assessed using an Agilent Bioanalyzer Small RNA chip and reverse transcription-quantitative (RT-q)PCR using four constitutively expressed miRNAs: hsa-miR-222-3p, hsa-miR-23a, hsa-miR-30e-5p and hsa-miR-451a. Quality control spike-ins measured RNA extraction (UniSp2) and cDNA extraction (cel-miR-39-3p) efficiency. MiRNA concentration and percentage were significantly higher in the serum vs. plasma samples based on data obtained from the Bioanalyzer; however, RT-qPCR failed to replicate these differences in the majority of comparisons using the ΔCq values of the four constitutively expressed miRNAs. Using the standard deviations of the ΔCq values, the consistency of serum and plasma in terms of miRNA expression levels were equivalent. Thus, clinicians and researchers should take into consideration that different miRNA quantification methods can yield contrasting results with regards to the starting media utilized. Based on the equivalent performance of serum and plasma assessed using RT-qPCR, which is less likely to be influenced by the coagulation process or degraded long RNAs, both starting media assessed in the present study are equally suitable for ongoing biomarker discovery studies involving healthy pregnant women at any gestational time point or immediately postpartum.

摘要

血液来源的微小RNA(miRNA/miR)是理想的临床生物标志物,因为它们可以通过相对非侵入性的方式提取,并且在一系列储存条件下都很稳定。然而,特定患者群体和起始介质之间的miRNA浓度和谱存在差异,这在用于临床应用之前必须是一个关键考虑因素。尚未确定用于涉及无并发症妊娠孕妇的生物标志物发现的最佳血液来源起始介质。从10名无并发症低风险妊娠的孕妇在三个时间点收集配对的血清和血浆样本:i)妊娠中期;ii)妊娠晚期;iii)产后6周。使用安捷伦生物分析仪小RNA芯片和逆转录定量(RT-q)PCR,使用四种组成性表达的miRNA:hsa-miR-222-3p、hsa-miR-23a、hsa-miR-30e-5p和hsa-miR-451a评估样本miRNA含量。质量控制加标物测量RNA提取(UniSp2)和cDNA提取(cel-miR-39-3p)效率。根据生物分析仪获得的数据,血清中的miRNA浓度和百分比显著高于血浆样本;然而,在大多数使用四种组成性表达miRNA的ΔCq值的比较中,RT-qPCR未能重复这些差异。使用ΔCq值的标准差,血清和血浆在miRNA表达水平方面的一致性是等效的。因此,临床医生和研究人员应考虑到,不同的miRNA定量方法对于所使用的起始介质可能会产生截然不同的结果。基于使用RT-qPCR评估的血清和血浆的等效性能,RT-qPCR受凝血过程或降解的长RNA影响的可能性较小,本研究中评估的两种起始介质同样适用于涉及任何妊娠时间点或产后立即的健康孕妇的正在进行的生物标志物发现研究。

相似文献

1
Profiling microRNAs in uncomplicated pregnancies: Serum vs. plasma.
Biomed Rep. 2021 Feb;14(2):24. doi: 10.3892/br.2020.1400. Epub 2020 Dec 14.
2
Comparison and optimisation of microRNA extraction from the plasma of healthy pregnant women.
Mol Med Rep. 2021 Apr;23(4):1. doi: 10.3892/mmr.2021.11897. Epub 2021 Feb 12.
3
Variability in microRNA recovery from plasma: Comparison of five commercial kits.
Anal Biochem. 2015 Nov 1;488:28-35. doi: 10.1016/j.ab.2015.07.018. Epub 2015 Aug 10.
5
8
Early-onset preeclampsia, plasma microRNAs, and endothelial cell function.
Am J Obstet Gynecol. 2020 May;222(5):497.e1-497.e12. doi: 10.1016/j.ajog.2019.11.1286. Epub 2019 Dec 10.
9
Analysis of differential expression profile of miRNA in peripheral blood of patients with lung cancer.
J Clin Lab Anal. 2019 Nov;33(9):e23003. doi: 10.1002/jcla.23003. Epub 2019 Sep 20.

引用本文的文献

2
Unique microRNA expression profiles in plasmic exosomes from intrahepatic cholestasis of pregnancy.
BMC Pregnancy Childbirth. 2023 Mar 7;23(1):147. doi: 10.1186/s12884-023-05456-1.
3
Characterization of Maternal Circulating MicroRNAs in Obese Pregnancies and Gestational Diabetes Mellitus.
Antioxidants (Basel). 2023 Feb 17;12(2):515. doi: 10.3390/antiox12020515.
4
Circulating extracellular vesicles exhibit a differential miRNA profile in gestational diabetes mellitus pregnancies.
PLoS One. 2022 May 25;17(5):e0267564. doi: 10.1371/journal.pone.0267564. eCollection 2022.
5
MicroRNAs as Biomarkers for Ionizing Radiation Injury.
Front Cell Dev Biol. 2022 Mar 3;10:861451. doi: 10.3389/fcell.2022.861451. eCollection 2022.
6
Human plasma pregnancy-associated miRNAs and their temporal variation within the first trimester of pregnancy.
Reprod Biol Endocrinol. 2022 Jan 14;20(1):14. doi: 10.1186/s12958-021-00883-1.

本文引用的文献

1
Plasma or serum? A qualitative study on rodents and humans using high-throughput microRNA sequencing for circulating biomarkers.
Biol Methods Protoc. 2019 Jun 25;4(1):bpz006. doi: 10.1093/biomethods/bpz006. eCollection 2019.
2
Circulating microRNAs as Promising Biomarkers in Colorectal Cancer.
Cancers (Basel). 2019 Jun 27;11(7):898. doi: 10.3390/cancers11070898.
4
The Role of Non-Coding RNA in Congenital Heart Diseases.
J Cardiovasc Dev Dis. 2019 Apr 1;6(2):15. doi: 10.3390/jcdd6020015.
5
The role and mechanisms of action of microRNAs in cancer drug resistance.
Clin Epigenetics. 2019 Feb 11;11(1):25. doi: 10.1186/s13148-018-0587-8.
6
The Serum microRNA Profile of Intrahepatic Cholestasis of Pregnancy: Identification of Novel Noninvasive Biomarkers.
Cell Physiol Biochem. 2018;51(3):1480-1488. doi: 10.1159/000495595. Epub 2018 Nov 28.
7
MicroRNAs in cancer drug resistance: Basic evidence and clinical applications.
J Cell Physiol. 2019 Mar;234(3):2152-2168. doi: 10.1002/jcp.26810. Epub 2018 Aug 26.
8
MicroRNAs in Preeclampsia.
Microrna. 2019;8(1):28-35. doi: 10.2174/2211536607666180813123303.
9
Circulating microRNAs in the early prediction of disease recurrence in primary breast cancer.
Breast Cancer Res. 2018 Jul 11;20(1):72. doi: 10.1186/s13058-018-1001-3.
10
Predicting miRNA-disease association based on inductive matrix completion.
Bioinformatics. 2018 Dec 15;34(24):4256-4265. doi: 10.1093/bioinformatics/bty503.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验