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      Immune system-related plasma extracellular vesicles in healthy aging

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          Abstract

          Objectives

          To identify age-related plasma extracellular vehicle (EVs) phenotypes in healthy adults.

          Methods

          EV proteomics by high-resolution mass spectrometry to evaluate EV protein stability and discover age-associated EV proteins (n=4 with 4 serial freeze-thaws each); validation by high-resolution flow cytometry and EV cytokine quantification by multiplex ELISA (n=28 healthy donors, aged 18-83 years); quantification of WI-38 fibroblast cell proliferation response to co-culture with PKH67-labeled young and old plasma EVs. The EV samples from these plasma specimens were previously characterized for bilayer structure, intra-vesicle mitochondria and cytokines, and hematopoietic cell-related surface markers.

          Results

          Compared with matched exo-EVs (EV-depleted supernatants), endo-EVs (EV-associated) had higher mean TNF-α and IL-27, lower mean IL-6, IL-11, IFN-γ, and IL-17A/F, and similar mean IL-1β, IL-21, and IL-22 concentrations. Some endo-EV and exo-EV cytokine concentrations were correlated, including TNF-α, IL-27, IL-6, IL-1β, and IFN-γ, but not IL-11, IL-17A/F, IL-21 or IL-22. Endo-EV IFN-γ and exo-EV IL-17A/F and IL-21 declined with age. By proteomics and confirmed by flow cytometry, we identified age-associated decline of fibrinogen (FGA, FGB and FGG) in EVs. Age-related EV proteins indicated predominant origins in the liver and innate immune system. WI-38 cells (>95%) internalized similar amounts of young and old plasma EVs, but cells that internalized PKH67-EVs, particularly young EVs, underwent significantly greater cell proliferation.

          Conclusion

          Endo-EV and exo-EV cytokines function as different biomarkers. The observed healthy aging EV phenotype reflected a downregulation of EV fibrinogen subpopulations consistent with the absence of a pro-coagulant and pro-inflammatory condition common with age-related disease.

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          Most cited references47

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          STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

          Abstract Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein–protein associations is incomplete and exhibits varying levels of annotation granularity and reliability. The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions. The latest version of STRING (11.0) more than doubles the number of organisms it covers, to 5090. The most important new feature is an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input. For the enrichment analysis, STRING implements well-known classification systems such as Gene Ontology and KEGG, but also offers additional, new classification systems based on high-throughput text-mining as well as on a hierarchical clustering of the association network itself. The STRING resource is available online at https://string-db.org/.
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            Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells.

            Exosomes are vesicles of endocytic origin released by many cells. These vesicles can mediate communication between cells, facilitating processes such as antigen presentation. Here, we show that exosomes from a mouse and a human mast cell line (MC/9 and HMC-1, respectively), as well as primary bone marrow-derived mouse mast cells, contain RNA. Microarray assessments revealed the presence of mRNA from approximately 1300 genes, many of which are not present in the cytoplasm of the donor cell. In vitro translation proved that the exosome mRNAs were functional. Quality control RNA analysis of total RNA derived from exosomes also revealed presence of small RNAs, including microRNAs. The RNA from mast cell exosomes is transferable to other mouse and human mast cells. After transfer of mouse exosomal RNA to human mast cells, new mouse proteins were found in the recipient cells, indicating that transferred exosomal mRNA can be translated after entering another cell. In summary, we show that exosomes contain both mRNA and microRNA, which can be delivered to another cell, and can be functional in this new location. We propose that this RNA is called "exosomal shuttle RNA" (esRNA).
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              Applying extracellular vesicles based therapeutics in clinical trials – an ISEV position paper

              Extracellular vesicles (EVs), such as exosomes and microvesicles, are released by different cell types and participate in physiological and pathophysiological processes. EVs mediate intercellular communication as cell-derived extracellular signalling organelles that transmit specific information from their cell of origin to their target cells. As a result of these properties, EVs of defined cell types may serve as novel tools for various therapeutic approaches, including (a) anti-tumour therapy, (b) pathogen vaccination, (c) immune-modulatory and regenerative therapies and (d) drug delivery. The translation of EVs into clinical therapies requires the categorization of EV-based therapeutics in compliance with existing regulatory frameworks. As the classification defines subsequent requirements for manufacturing, quality control and clinical investigation, it is of major importance to define whether EVs are considered the active drug components or primarily serve as drug delivery vehicles. For an effective and particularly safe translation of EV-based therapies into clinical practice, a high level of cooperation between researchers, clinicians and competent authorities is essential. In this position statement, basic and clinical scientists, as members of the International Society for Extracellular Vesicles (ISEV) and of the European Cooperation in Science and Technology (COST) program of the European Union, namely European Network on Microvesicles and Exosomes in Health and Disease (ME-HaD), summarize recent developments and the current knowledge of EV-based therapies. Aspects of safety and regulatory requirements that must be considered for pharmaceutical manufacturing and clinical application are highlighted. Production and quality control processes are discussed. Strategies to promote the therapeutic application of EVs in future clinical studies are addressed.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/455108Role: Role: Role: Role: Role: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1652941Role: Role: Role: Role:
                Role: Role: Role:
                Role: Role: Role:
                Role: Role:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1876883Role: Role:
                URI : https://loop.frontiersin.org/people/1049591Role: Role: Role: Role: Role: Role: Role: Role:
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                03 April 2024
                2024
                : 15
                : 1355380
                Affiliations
                [1] 1 Duke Molecular Physiology Institute, Duke University School of Medicine, Duke University , Durham, NC, United States
                [2] 2 Department of Orthopaedic Surgery, Duke University School of Medicine, Duke University , Durham, NC, United States
                [3] 3 Institute for Health Informatics, University of Minnesota School of Medicine , Minneapolis, MN, United States
                [4] 4 Duke Proteomics and Metabolomics Core Facility, Duke University School of Medicine, Duke University , Durham, NC, United States
                [5] 5 Department of Medicine, Duke University School of Medicine, Duke University , Durham, NC, United States
                Author notes

                Edited by: Timur O. Yarovinsky, Yale University, United States

                Reviewed by: Claudia Vanetti, University of Milan, Italy

                Ulrike Resch, Medical University of Vienna, Austria

                *Correspondence: Xin Zhang, xin.zhang193@ 123456duke.edu
                Article
                10.3389/fimmu.2024.1355380
                11021711
                38633262
                1de9e1e3-52d2-4de4-bb9b-1240e69da0be
                Copyright © 2024 Zhang, Ma, Huebner, Naz, Alnemer, Soderblom, Aliferis and Kraus

                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
                : 13 December 2023
                : 12 March 2024
                Page count
                Figures: 3, Tables: 0, Equations: 0, References: 47, Pages: 10, Words: 5642
                Funding
                Funded by: National Institute on Aging , doi 10.13039/100000049;
                Award ID: R56AG060895, R01AG070146, P30AG028716
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study is supported by the National Institute on Aging grants R56AG060895 (VK and XZ), R01AG070146 (VK, XZ, SM), and P30AG028716 (JH, VK).
                Categories
                Immunology
                Original Research
                Custom metadata
                Cytokines and Soluble Mediators in Immunity

                Immunology
                extracellular vesicles,healthy aging,immune system,cytokines,proteomics,surface markers,proliferation

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