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      A cross-sectional analysis of syncytiotrophoblast membrane extracellular vesicles–derived transcriptomic biomarkers in early-onset preeclampsia

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          Abstract

          Background

          Preeclampsia (PE) is a pregnancy-specific hypertensive disorder affecting 2%–8% of pregnancies worldwide. Biomarker(s) for the disorder exists, but while these have excellent negative predictive value, their positive predictive value is poor. Extracellular vesicles released by the placenta into the maternal circulation, syncytiotrophoblast membrane extracellular vesicles (STB-EVs), have been identified as being involved in PE with the potential to act as liquid biopsies.

          Objective

          The objective of this study was to identify the difference in the transcriptome of placenta and STB-EVs between preeclampsia and normal pregnancy (NP) and mechanistic pathways.

          Methods/study design

          We performed RNA-sequencing on placental tissue, medium/large and small STB-EVs from PE ( n = 6) and NP ( n = 6), followed by bioinformatic analysis to identify targets that could be used in the future for EV-based diagnostic tests for preeclampsia. Some of the identified biomarkers were validated with real-time polymerase chain reactions.

          Results

          Our analysis identified a difference in the transcriptomic STB-EV cargo between PE and NP. We then identified and verified the differential expression of FLNB, COL17A1, SLC45A4, LEP, HTRA4, PAPP-A2, EBI3, HSD17B1, FSTL3, INHBA, SIGLEC6, and CGB3. Our analysis also identified interesting mechanistic processes via an in silico prediction of STB-EV-based mechanistic pathways.

          Conclusions

          In this study, using comprehensive profiling of differentially expressed/carried genes of three linked sample subtypes in PE, we identified potential biomarkers and mechanistic gene pathways that may be important in the pathophysiology of PE and could be further explored in future studies.

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          Most cited references64

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            Proteomics. Tissue-based map of the human proteome.

            Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Copyright © 2015, American Association for the Advancement of Science.
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              Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

              ABSTRACT The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014. We now update these “MISEV2014” guidelines based on evolution of the collective knowledge in the last four years. An important point to consider is that ascribing a specific function to EVs in general, or to subtypes of EVs, requires reporting of specific information beyond mere description of function in a crude, potentially contaminated, and heterogeneous preparation. For example, claims that exosomes are endowed with exquisite and specific activities remain difficult to support experimentally, given our still limited knowledge of their specific molecular machineries of biogenesis and release, as compared with other biophysically similar EVs. The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific EV-associated functional activities. Finally, a checklist is provided with summaries of key points.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1301925/overviewRole: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1334410/overviewRole: Role: Role: Role:
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                URI : https://loop.frontiersin.org/people/773975/overviewRole: Role:
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                URI : https://loop.frontiersin.org/people/452779/overviewRole: Role: Role: Role:
                Journal
                Front Cardiovasc Med
                Front Cardiovasc Med
                Front. Cardiovasc. Med.
                Frontiers in Cardiovascular Medicine
                Frontiers Media S.A.
                2297-055X
                30 November 2023
                2023
                : 10
                : 1291642
                Affiliations
                [ 1 ]Nuffield Department of Women’s & Reproductive Health, University of Oxford , Oxford, United Kingdom
                [ 2 ]Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford , Oxford, United Kingdom
                Author notes

                Edited by: Pensée Wu, Keele University, United Kingdom

                Reviewed by: Na Wu, China Medical University, China Yuting Liu, Charles River Laboratories, United States

                [* ] Correspondence: Manu Vatish manu.vatish@ 123456wrh.ox.ac.uk
                [ † ]

                These authors have contributed equally to this work

                Article
                10.3389/fcvm.2023.1291642
                10720444
                38099221
                8b1b5d3b-d955-4a8d-8cc4-d0baa79d7801
                © 2023 Awoyemi, Zhang, Rahbar, Cribbs, Logenthiran, Jiang, Collett, Cerdeira and Vatish.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 October 2023
                : 14 November 2023
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 68, Pages: 0, Words: 0
                Funding
                Funded by: Medical Research Council
                Award ID: MR/J0033601
                Funded by: Medical & Life Sciences Translational Fund
                Award ID: BRR00142 HE01.01
                The authors declare financial support was received for the research, authorship, and/or publication of this article.
                This research was funded by the Medical Research Council (MRC Programme Grant MR/J0033601) and the Medical & Life Sciences Translational Fund (BRR00142 HE01.01).
                Categories
                Cardiovascular Medicine
                Original Research
                Custom metadata
                Hypertension

                transcriptomics,syncytiotrophoblast membrane extracellular vesicles (stb-evs),preeclampsia,biomarkers,placenta evs,mechanisms

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