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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1634758</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The emerging role of extracellular vesicles in viral transmission and immune evasion</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Saleem</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3078745/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chang</surname>
<given-names>Chieh-Wei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2854722/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qadeer</surname>
<given-names>Abdul</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1198569/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Asiri</surname>
<given-names>Mohammed</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1354600/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alzahrani</surname>
<given-names>Fuad M.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alzahrani</surname>
<given-names>Khalid J.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1260314/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alsharif</surname>
<given-names>Khalaf F.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1223184/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Chien-Chin</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/784429/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hussain</surname>
<given-names>Shahid</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Biotechnology, Kohsar University</institution>, <addr-line>Murree</addr-line>,&#xa0;<country>Pakistan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Division of General Surgery, Department of Surgery, Ditmanson Medical Foundation Chia-Yi Christian Hospital</institution>, <addr-line>Chiayi</addr-line>,&#xa0;<country>Taiwan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Cell Biology, School of Life Sciences, Central South University</institution>, <addr-line>Changsha</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University</institution>, <addr-line>Abha</addr-line>,&#xa0;<country>Saudi Arabia</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University</institution>, <addr-line>Taif</addr-line>,&#xa0;<country>Saudi Arabia</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Pathology, Ditmanson Medical Foundation Chia-Yi Christian Hospital</institution>, <addr-line>Chiayi</addr-line>,&#xa0;<country>Taiwan</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Cosmetic Science, Chia Nan University of Pharmacy and Science</institution>, <addr-line>Tainan</addr-line>,&#xa0;<country>Taiwan</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Doctoral Program in Translational Medicine, National Chung Hsing University</institution>, <addr-line>Taichung</addr-line>,&#xa0;<country>Taiwan</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Department of Biotechnology and Bioindustry Sciences, College of Bioscience and Biotechnology, National Cheng Kung University</institution>, <addr-line>Tainan</addr-line>,&#xa0;<country>Taiwan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2693255/overview">Chi-An Cheng</ext-link>, National Taiwan University, Taiwan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2233269/overview">Wei-Hsuan Hsu</ext-link>, National Cheng Kung University, Taiwan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3107937/overview">Ming-You Shie</ext-link>, China Medical University, Taiwan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Shahid Hussain, <email xlink:href="mailto:shahid.akhtar@kum.edu.pk">shahid.akhtar@kum.edu.pk</email>; Chien-Chin Chen, <email xlink:href="mailto:hlmarkc@gmail.com">hlmarkc@gmail.com</email>; Abdul Qadeer, <email xlink:href="mailto:qadeerktk848@yahoo.com">qadeerktk848@yahoo.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1634758</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Saleem, Chang, Qadeer, Asiri, Alzahrani, Alzahrani, Alsharif, Chen and Hussain.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Saleem, Chang, Qadeer, Asiri, Alzahrani, Alzahrani, Alsharif, Chen and Hussain</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>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.</p>
</license>
</permissions>
<abstract>
<p>Extracellular vesicles (EVs) are membrane-bound structures that serve as major mediators of intercellular communication, playing a crucial role in various physiological and pathological processes. These membrane-bound vesicles are involved in several biological processes and are essential because they play a vital role in regulating viral infections. Given the global burden of viral diseases, understanding the interaction between EVs and viruses is crucial for the development of novel diagnostic tools and therapeutic strategies. This review provides a comprehensive examination of the structure and nature of EVs, as well as their biogenesis and molecular components, distinguishing between exosomes, microvesicles, and apoptotic bodies. We discuss the relationship between EVs and viral diseases, as well as their roles in viral pathogenesis and the dissemination of infections. Moreover, based on the ability of viruses to modulate host immune responses at both the innate and adaptive levels, the involvement of EVs in immune evasion is described. Additionally, the ability of EVs to diagnose viral illnesses and their therapeutic applications, such as using EVs for vaccines, immunotherapy, and the delivery of antiviral drugs, will also be discussed. Various viral diseases, including HIV, hepatitis B and C, and influenza, as well as emerging viruses such as SARS-CoV-2, are reviewed to capture the multifaceted functions of EVs in viral diseases. Finally, the review discusses the limitations of EV research, factors that affect the standardization of the technique, and the outlook for clinical applications. Based on a synthesis of current literature knowledge, this review aimed to identify and highlight the potential of EVs as diagnostic and therapeutic agents in the prevention and treatment of viral infections, thereby paving the way for further research and innovation.</p>
</abstract>
<kwd-group>
<kwd>extracellular vesicles</kwd>
<kwd>viral infections</kwd>
<kwd>immune modulation</kwd>
<kwd>therapeutic</kwd>
<kwd>biomarkers</kwd>
<kwd>nanocarriers</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="146"/>
<page-count count="17"/>
<word-count count="8070"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Viral Immunology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Extracellular vesicles (EVs) are membrane-bound structures found in various cell types and are found in body fluids, including the blood, saliva, and cerebrospinal fluid (<xref ref-type="bibr" rid="B1">1</xref>). These vesicles also play a crucial role in the exchange of materials between cells, including proteins, lipids, and nucleic acids. EVs are primarily categorized into exosomes, microvesicles, and apoptotic bodies based on their size, origin, and biogenesis (as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Lipids play a crucial role in various physiological processes, including immunity, tissue regeneration, and cellular homeostasis (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Schematic representation of EVs release.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1634758-g001.tif">
<alt-text content-type="machine-generated">Illustration depicting the biogenesis of exosomes, microvesicles, and apoptotic bodies. Exosomes (30-150 nm) form via endolysosomal pathway with multivesicular bodies. Microvesicles (100-1,000 nm) emerge through outward budding of the plasma membrane. Apoptotic bodies (1,000-5,000 nm) form during apoptosis involving the plasma membrane. Each section highlights distinct size ranges and methods of formation with arrows indicating pathways.</alt-text>
</graphic>
</fig>
<p>Infections with viruses continue to be a significant threat to global health because they cause a substantial burden of disease and death globally. Examples of viral infections such as HIV, hepatitis B, and C, influenza, and new viruses like SARS-CoV-2 have severe social and economic impacts. Many of these infections involve complex interactions between the virus and host cells, which are fundamental to immunology, disease development, and treatment responses. Although antiviral drugs and vaccines have been developed, issues like drug resistance, high mutation rates, and limited access to healthcare remain challenges (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). Recently, EVs have gained attention regarding their role in viral infections. Viral vectors also use EVs to transport viruses, evade the host immune response, and boost viral replication within the host. They can carry viral proteins, RNA, and DNA, mimicking infectious particles and influencing immune signaling (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Furthermore, during viral infections, the EVs released reflect the physiological status of the infected cells, making them potential biomarkers for diagnosing, monitoring, and prognosis of diseases (<xref ref-type="bibr" rid="B9">9</xref>). Because they can easily cross biological barriers, EVs are also being considered for therapeutic purposes as drug carriers and in vaccine development (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>This review offers a comprehensive overview of the complex roles of EVs in viral infections. Its main objectives are: 1. To explore the synthesis, characterization, and biogenesis of EVs. 2. To examine their role in viral pathogenesis, especially in viral transmission and modulation of the host immune response. 3. To emphasize the diagnostic and therapeutic potential of EVs, including their use in biomarker discovery, antiviral drug delivery systems, and vaccine development. 4. To analyze the role of EVs in specific viral infections such as HIV, hepatitis virus, influenza virus, and emerging pathogens like SARS-CoV-2. 5. To address the current challenges in EV research, with a focus on standardizing isolation techniques and transitioning EV-based technologies into clinical practice. By bridging basic research with clinical applications, this review highlights the transformative potential of EVs in enhancing the understanding, diagnosis, and treatment of viral infections. It outlines future directions for developing EV-based therapies.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Types and biogenesis of EVs</title>
<sec id="s2_1">
<label>2.1</label>
<title>Classification of EVs</title>
<p>EVs are a large family of membrane-enclosed extracellular nanoparticles secreted by cells into their surrounding environment. They are typically classified based on physical features such as size and density, biochemical composition, or cell of origin; however, the distinctness of subtypes can be somewhat ambiguous due to overlapping characteristics (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). The International Society for Extracellular Vesicles (MISEV2018) has launched guidelines to facilitate a more uniform classification of EVs, requiring thorough multi-parametric characterization to prevent mislabeling (<xref ref-type="bibr" rid="B15">15</xref>). The MISEV 2023, given new nomenclature recommendations, separation protocols, EV release/uptake assays, and <italic>in vivo</italic> protocols. These guidelines strongly emphasize strict reporting of EV purity (including non-vesicular contaminants), detection instrument limits, dose&#x2013;response and time-course functional assays, and the use of appropriate non-EV biological controls (<xref ref-type="bibr" rid="B16">16</xref>). Despite these efforts, many reviewed studies still fall short of full compliance, highlighting the need for transparent reporting. EVs, including exosomes, microvesicles, and apoptotic bodies, are recognized into three prominent subtypes, each with different functions in health and disease (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Exosomes</title>
<p>Exosomes typically range in size from 30&#x2013;150 nm and are among the smallest types of EVs. While traditionally believed to originate from endosomes, recent research has clarified rather than definitively confirmed their precise origin (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). They are also enriched in tetraspanins [e.g., CD9, CD63, and CD81], generally used for canonical identification, although detecting these is not an exclusive feature, as tetraspanins appear on other EV subtypes (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Moreover, exosomes can also package heat shock proteins (HSP70, HSP90) and endosomal sorting complexes (ESCRT-related proteins such as Alix and TSG101). Their membrane composition reflects their endosome maturation degree, with a higher cholesterol and sphingomyelin content than in other EVs (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Exosomes play a central role in intercellular communication by enabling bioactive molecules (proteins, lipids, nucleic acids such as mRNA, miRNA, and non-coding RNA) to be transmitted from one cell to another (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Virtually all aspects of immune regulation, cancer progression, and neurodegenerative diseases are influenced by them. Various cell types produce exosomes that can be released into the surrounding environment, including cancer cells. For instance, tumor-derived exosomes can prime primary organs and distant tissues through the dissemination of oncogenic miRNAs (<xref ref-type="bibr" rid="B26">26</xref>). Conversely, neuronal exosomes are released in Parkinson&#x2019;s disease to facilitate peripheral protein transport via &#x3b1;-synuclein (<xref ref-type="bibr" rid="B27">27</xref>).</p>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>Microvesicles (MVs, ectosomes)</title>
<p>Microvesicles (100&#x2013;1000 nm) are formed by the direct outward budding of the plasma membrane, setting them apart from exosomes (<xref ref-type="bibr" rid="B28">28</xref>). Unlike exosomes, which are relatively uniform in size, MVs exhibit a greater level of heterogeneity, partly due to differences in their release kinetics (<xref ref-type="bibr" rid="B29">29</xref>). Often, their surface markers reflect the composition of the parent cell membrane, such as integrins, selectins, and phosphatidylserine, which is exposed at the distal end of vesicles during their formation (<xref ref-type="bibr" rid="B30">30</xref>). The roles of MVs in thrombosis, inflammation, and cancer are increasingly recognized. For example, platelet-derived MVs promote coagulation by shedding pro-coagulant phospholipids, while cancer cell-derived MVs facilitate angiogenesis and induce metastasis through transforming metalloproteinases and oncogenic receptors (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Their remarkable functional plasticity is due to their ability to sequester and deliver a diverse range of molecular cargo, including signaling proteins and genetic material, back to the recipient cells.</p>
</sec>
<sec id="s2_1_3">
<label>2.1.3</label>
<title>Apoptotic bodies</title>
<p>The largest EVs (1&#x2013;5 &#xb5;m) are released exclusively from dying cells undergoing apoptosis (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). They are characterized by a morphological hallmark of membrane blebbing and severe breakdown in the cytoskeleton, forming vesicles that contain nuclear remnants, organelles, and fragmented cellular components (<xref ref-type="bibr" rid="B35">35</xref>). Key markers include annexin V, which detects if phosphatidylserine faces outward, and caspases, which indicate apoptosis (<xref ref-type="bibr" rid="B36">36</xref>). Until recently, they were thought to be nothing more than debris for phagocytic clearance; however, there is now increasing evidence that apoptotic bodies play a role in immune modulation and tissue homeostasis (<xref ref-type="bibr" rid="B37">37</xref>). In another context, they support the uptake of autoantigens, which could lead to autoimmunity. Conversely, in a different context, they aid tissue repair by delivering growth factors and mRNA to neighboring cells (<xref ref-type="bibr" rid="B38">38</xref>).</p>
</sec>
<sec id="s2_1_4">
<label>2.1.4</label>
<title>Emerging and non-canonical EV subtypes</title>
<p>In addition to these traditional categories, recent advances in EVs have identified unique vesicular populations that were not previously classified. For example, migrasomes, large vesicles (up to 3 &#xb5;m) observed in migrating cells, contain chemokines and growth factors, indicating a potential role in spatial signaling during development or tissue repair (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Released by aggressive metastatic cancer cells, Oncosomes are up to 10 &#xb5;m in size and loaded with oncogenic cargo that promotes invasion and drug resistance. Exomeres (greater than 50 nm) are another population on the smaller end of the size spectrum. However, their classification as EVs is still debated due to their entirely different metabolic properties as a nanoparticle species (<xref ref-type="bibr" rid="B41">41</xref>).</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Biogenesis of different EV types</title>
<p>EVs are produced through distinct but sometimes overlapping cellular pathways, which can contribute to the structural and functional diversity. Their formation involves specialized molecular machinery that governs their size, cargo composition, and eventual secretion into the extracellular environment. Among the different types of EVs, exosomes are the most well-characterized in terms of EV subpopulation, characterized by their consistent size and morphology. They are derived from the endosomal system, beginning with the inward budding of the endosomal membrane, which leads to the formation of intraluminal vesicles (ILVs) within multivesicular bodies (MVBs) (<xref ref-type="bibr" rid="B42">42</xref>). This budding process is primarily driven by the endosomal sorting complex required for transport (ESCRT), a group of conserved protein complexes that selectively sort and package cargoes, such as ubiquitinated proteins and nucleic acids, into newly developed ILV. Besides ESCRT-dependent mechanisms, other factors, such as ceramide, lipids, and tetraspanin-enriched microdomains, also contribute to ILV formation, highlighting the flexibility in exosome biogenesis. Once MVBs are fully formed, they can either fuse with lysosomes for content degradation or be moved toward the plasma membrane with the help of Rab GTPases (e.g., Rab27a/b) and SNARE proteins, ultimately releasing ILVs into the extracellular space as exosomes (<xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>In sharp contrast, microvesicles (MVs), which are produced by outward budding of the plasma membrane, are driven by cytoskeletal rearrangements and mechanical signals with Ca<sup>2+</sup> dependent downstream communication (<xref ref-type="bibr" rid="B46">46</xref>). High intracellular calcium levels then activate enzymes (e.g., flippases and scramblases) that change the distribution of phosphatidylserine from the inside to the outer leaflet, a characteristic feature of MVs surfaces (<xref ref-type="bibr" rid="B46">46</xref>). The simultaneous contraction of actin-myosin filaments, operating via RhoA/ROCK pathways, generates the force needed for membrane protrusion and fission. Unlike exosomes, MVs contain cytoplasmic components nonspecifically like the mother cell into the offspring; this often reflects the cell&#x2019;s actual state, including metabolites, cytosolic proteins, and even organelles (<xref ref-type="bibr" rid="B47">47</xref>). The size and component heterogeneity reflect the diverse construction of these vesicles, which can be increased under stress or disease conditions, such as cancer or inflammation.</p>
<p>Apoptotic bodies are the most considerable EV fraction, formed exclusively during cell apoptosis. During apoptosis, caspase activation leads to the widespread denaturation and breakdown of the cell&#x2019;s cytoskeleton, ultimately resulting in the cell&#x2019;s demise through blebbing and fragmentation. Apoptotic bodies contain blebs with nuclear remnants, organelles, and degraded genomic DNA, distinguishing them from all other EVs (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Their release is a final event, often acting as an &#x201c;eat me&#x201d; signal for phagocytes. However, recent findings suggest that apoptotic bodies may also carry signaling function as they sometimes contain intact, functional molecules such as growth factors, regulatory RNAs, that can influence neighboring cells (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>Emerging EV subtypes have unique biogenesis mechanisms that go beyond these classical pathways. For example, migrasomes are generated when vesicles and cytoskeleton elements are pinched off at retraction fibers in migrating cells as they move forward. Oncosomes released by metastatic cancer cells originate from abnormal membrane shedding, a feature of oncogenic metabolic reprogramming, often containing cytoplasmic material that enables their extensive dissemination (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). Smaller nanoparticles (exomeres; without a lipid bilayer) also challenge traditional EV concepts, as exomeres arise from non-vesicular secretory routes, although their biogenesis is not well understood (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>Although this crosstalk indicates other complexities of EV biology, although exosomes and MVs are constantly released, this might result from transcriptional stress, hypoxia, or disease influencing cargo selection and secretion rates (<xref ref-type="bibr" rid="B53">53</xref>). Apoptotic bodies are closely linked to cell death. Although their utility overlaps with that of EVs, this complicates their classification. Live-cell imaging and CRISPR-based screens are now beginning to dissect these pathways, identifying conserved molecular regulators that connect distinct biogenesis mechanisms, such as TSG101 or ARF6 (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>). Nonetheless, the question of cargo sorting remains open. Additionally, membrane lipids are vital, and it is unclear how EV subtypes represent distinct populations versus a smear of vesiculation events.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Integration of EV omics data and public databases</title>
<p>High-throughput omics technologies such as transcriptomics, proteomics, lipidomics, and metabolomics have enabled the detailed annotation of EV cargo. Hundreds of thousands of entries for proteins, RNAs, lipids, and metabolites from a wide variety of EV types now exist in public databases, including ExoCarta, Vesiclepedia, and EVpedia (<xref ref-type="bibr" rid="B55">55</xref>). ExoCarta, primarily focused on exosomal studies, contains manually curated datasets of proteins, lipids, and RNA from various cell types and body fluids (<xref ref-type="bibr" rid="B56">56</xref>). Vesiclepedia broadens this scope to include all EV subtypes, such as exosomes, microvesicles, apoptotic bodies, and even recently identified extracellular particles like exomeres and supermeres, all featuring metadata like isolation protocols, EV METRIC scores, and sample origins (<xref ref-type="bibr" rid="B57">57</xref>). EVpedia enhances these databases by adding orthologue prediction, gene ontology enrichment, and network analysis tools for systematic omics interpretation (<xref ref-type="bibr" rid="B58">58</xref>). These tools are essential for placing EV cargo findings in the context of viral infection research. They enable researchers to compare fold change estimates or abundance measures (such as normalized read counts or spectral intensities) directly between infected and control groups, thereby helping to address reviewers&#x2019; concerns about biological significance. For example, miRNA associated with SARS-Co-V-2 infection can be assessed for detection frequency across datasets, relative EV abundance in plasma, and putative targets or pathways through GO enrichment analysis. Tools like FunRich, EV TRACK, and EV-TRACK linked EV METRIC provide standardized data querying and analysis capabilities across studies (<xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>When viral cargo (e.g., miR-148a or Nef protein) is detected in patient-derived EVs, Vesiclepedia provides relative fold-change information across multiple datasets, helping determine whether measured levels are unusual or within expected ranges. Researchers can download abundance estimates, view experimental metadata (including EV isolation methods: UC, SEC, density gradient), and examine EV METRIC scores to assess technical strength (<xref ref-type="bibr" rid="B60">60</xref>). Many recent studies include these platforms to validate presumptive EV biomarkers, reducing reliance on mere descriptive trends. There are significant limitations: omics data sets vary in isolation protocols, quantification platforms, and reporting standards, often including heterogeneous metadata that complicates cross-study meta-analysis. The correlation between transcriptomic and proteomic levels is modest (r ~ 0.4), and lipidomic/metabolomic coverage is less comprehensive (<xref ref-type="bibr" rid="B60">60</xref>). EV-TRACK community annotations highlight that average EV metric scores remain low (~41%), indicating variable methodological transparency (<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Theoretical models that combine multi-omic EV data sets enable predictive modeling of EV function in viral pathogenesis. For example, integrating miRNA and mRNA cargo distributions with network analysis helps predict host pathways influenced by EVs on viral infection. Ortholog matching across species can be used to validate conservation of EV markers or regulatory RNAs. Ultimately, combining these database-derived insights adds mechanistic depth, enhances quantitative understanding, and increases translational relevance in the context of EV viral infections.</p>
</sec>
<sec id="s4">
<label>4</label>
<title>Molecular composition of EVs</title>
<p>EVs are a diverse group of molecular cargo, which is specific to the source cell type and biological function. The membrane-bound nanoparticles deliver proteins, lipids, nucleic acids, and metabolites between cells (Data in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> indicate the composition or delivery of different particles), facilitating intercellular communication that influences both normal and disease-related processes. The molecular content of EV subtypes, such as exosomes, microvesicles, and apoptotic bodies, as well as EVs derived from various cell types or states, varies significantly (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>). This complexity in the molecular makeup of EVs provides essential insight into EV biogenesis, functions, and potential uses as therapeutic agents.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Classification and biogenesis of extracellular vesicles.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Molecular class</th>
<th valign="middle" align="left">Exosomes (30&#x2013;150 nm, endosomal origin)</th>
<th valign="middle" align="left">Microvesicles(100&#x2013;1000 nm, plasma membrane origin)</th>
<th valign="middle" align="left">Apoptotic Bodies(1000&#x2013;5000 nm, apoptotic cell disintegration)</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Lipids</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Cholesterol, sphingomyelin, ceramide</p>
</list-item>
<list-item>
<p>- Ceramide critical for MVB formation</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Phosphatidylserine (PS) externalization</p>
</list-item>
<list-item>
<p>- Glycosphingolipids, gangliosides</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Oxidized lipids</p>
</list-item>
<list-item>
<p>- High PS exposure as &#x201c;eat-me&#x201d; signal</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Proteins</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Tetraspanins: CD9, CD63, CD81</p>
</list-item>
<list-item>
<p>- ESCRT proteins: TSG101, Alix</p>
</list-item>
<list-item>
<p>- HSP70, HSP90</p>
</list-item>
<list-item>
<p>- Rab GTPases, annexins</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Integrins, selectins, flotillins</p>
</list-item>
<list-item>
<p>- EGFR (e.g., in cancer MVs)</p>
</list-item>
<list-item>
<p>- Cytoskeletal protein</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">- Histones, nuclear proteins<break/>- Activated caspases<break/>- Organelle fragments</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Cell-Specific Proteins</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Synaptophysin (neuronal)</p>
</list-item>
<list-item>
<p>- MHC I/II (immune)</p>
</list-item>
<list-item>
<p>- Mutant KRAS, MET, MMP2/9 (tumor-derived)</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Cell surface receptors</p>
</list-item>
<list-item>
<p>- Signaling molecules (context-dependent)</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Reflect parent cell content</p>
</list-item>
<list-item>
<p>- Apoptotic-specific proteins</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Nucleic Acids</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- miRNAs: miR-21, miR-155</p>
</list-item>
<list-item>
<p>- mRNA, lncRNA, circRNA</p>
</list-item>
<list-item>
<p>- mtDNA</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- mRNA, lncRNA</p>
</list-item>
<list-item>
<p>- Chromosomal DNA fragments</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Chromatin and mitochondrial DNA</p>
</list-item>
<list-item>
<p>- Potential autoantigens</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B65">65</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Metabolites &amp; Small Molecules</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- ATP, amino acids, lactate</p>
</list-item>
<list-item>
<p>- Prostaglandins, cytokines</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Tumor metabolites</p>
</list-item>
<list-item>
<p>- Immunomodulatory molecules</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">
<list list-type="simple">
<list-item>
<p>- Residual cell metabolites</p>
</list-item>
<list-item>
<p>- Death-associated signals</p>
</list-item>
</list>
</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B59">59</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s4_1">
<label>4.1</label>
<title>Protein cargo of EVs</title>
<p>EVs are proteins involved in vesicle formation, trafficking, and uptake within vesicles. Exosomes are identified by tetraspanins (CD9, CD63, CD81) that are organized into functional microdomains on the EVs surface and are essential for cargo selection, recognition, and recipient cell interactions. Common exosomal proteins include ESCRT components (Alix and TSG101), Heat shock proteins (Hsp70 and Hsp90), and fusion membrane regulators (Rab GTPases and annexin (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B73">73</xref>). These proteins determined both the identity of exosomes and their release/uptake. While microvesicles typically contain a diverse array of plasma membrane proteins, such as integrins, selectins, and flotillins, similar to those directly budding from the cell surface. They can also carry cell-specific receptors, such as the epidermal growth factor receptor (EGFR), in exosomes derived from cancer cells. These may include MITF expression and are believed to induce signaling pathways in recipient cells (<xref ref-type="bibr" rid="B74">74</xref>). It is hard to mistake apoptotic bodies for other EVs due to their content of cell debris, including histones and nuclear proteins, as well as the confirmed release of activated caspase from fragmented cells. Besides these common markers, EVs contain cell-type-specific proteins that reflect the characteristics of their parental cells. For example, neuronal EVs are enriched with synaptophysin, a synaptic protein, and EVs from the immune system display major histocompatibility complex (MHC) molecules involved in antigen processing (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>). Tumor-derived EVs are especially rich in oncoproteins (eg, mutant KRAS, MET) and proteases (MMP2/9), which contribute to invasive and metastatic properties. Notably, the proteomic landscape of EVs offers excellent potential as yet-to-be-undetermined biomarkers of diseases, including cancer, neurodegenerative disorders, and cardiovascular injuries (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Lipid composition of EVs</title>
<p>The lipid bilayers of EVs are not just static structural components, but also serve as the programming machinery that regulates vesicle robustness, bioactivity, targeting, and functionality. The exosomal membrane is extremely rich in cholesterol, sphingomyelin, and ceramide, which are relatively complex and less degradable (<xref ref-type="bibr" rid="B77">77</xref>). Ceramide plays a key role in exosome biogenesis by facilitating the budding of intraluminal vesicles into multivesicular bodies and interacting with other proteins that promote exocytosis. The lipid profile of microvesicles is less consistent than that of EVs, because it mainly reflects the apolar phospholipid asymmetry across the parental plasma membrane (<xref ref-type="bibr" rid="B78">78</xref>). Notably, platelet-derived microvesicles contain a high amount of phosphatidylserine due to its externalization, which acts as a phagosomal recognition marker and as a procoagulant biomarker. They also have elevated levels of glycosphingolipids and gangliosides to influence EV interaction with target cells (<xref ref-type="bibr" rid="B79">79</xref>). Variations in the lipid content of EVs impact their native functions and have implications for therapeutic interventions, such as lipid modification on EVs for drug delivery (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B80">80</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Nucleic acids in EVs</title>
<p>Although EVs are involved in horizontal gene transfer, they contain a wide variety of nucleic acids, including messenger RNA (mRNA), microRNA (miRNA), long non-coding RNA (lncRNA), and even mitochondrial DNA (mtDNA). Exosomal miRNAs, which are strongly linked to various aspects of gene expression in recipient cells, such as miR-21 and miR-155, play a roles in cancer, immune modulation, and tissue repair (<xref ref-type="bibr" rid="B81">81</xref>). These miRNAs are typically protected from degradation via ribonucleoprotein complexes, ensuring their functional delivery. Microvesicles and Annexin V apoptotic bodies can carry larger amounts of the genetic material; they are capable of transporting chromosomal DNA fragments that may be involved in oncogenic transformation or autoimmune responses (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B82">82</xref>). For example, tumor EVs contain oncogenic DNA sequences (e.g., amplified EGFRvIII) that can integrate into the genome of the recipient cell, resulting in malignant transformation. Increasing evidence shows that EVs can carry nucleic acids, such as reporter genes, which may be helpful in liquid biopsies for early cancer detection (<bold>e.g., Data in</bold> <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Metabolites and other small molecules</title>
<p>Recent research suggests that EVs may also play a role in systemic metabolic functioning by releasing metabolites, such as glucose, lactic acid, and amino acids, which can affect the metabolic state of recipient cells. In the stromal cells, tumor-derived EVs often carry signaling molecules associated with the Warburg effect, such as elevated levels of metabolites like lactate that promote glycolysis and support tumor growth. EVs also contain signaling molecules such as prostaglandins and cytokines, which can modulate inflammation (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B84">84</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>EVs in viral pathogenesis and transmission</title>
<p>EVs released from virus-infected cells can carry protein molecules encoded by viral genes involved in virus assembly (as shown in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>) and summarized in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. When these EVs deliver their virulence-associated contents to recipient cells, they increase the cells&#x2019; susceptibility to viral infection. Additionally, the presence of viral protein in EVs can lead to the death of nearby, uninfected immune cells (<xref ref-type="bibr" rid="B11">11</xref>), potentially explaining the significant depletion of immune cells observed during the early phases of infection or when the viral load is still low. By transferring viral proteins and cell surface receptors between cells, EVs facilitate the evasion of the host immune response by viruses, thereby suppressing antibody production in lymphocytes and rendering immune cells more susceptible to infection (<xref ref-type="bibr" rid="B85">85</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Examples of viral genetic material carried by EVs.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Virus</th>
<th valign="middle" align="left">Type of EV</th>
<th valign="middle" align="left">EV cargo</th>
<th valign="middle" align="left">Function in viral pathogenesis</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">HIV-1</td>
<td valign="middle" align="left">Exosomes</td>
<td valign="middle" align="left">Viral RNA</td>
<td valign="middle" align="left">Facilitates infection, immune evasion, and viral dissemination</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B68">68</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HCV</td>
<td valign="middle" align="left">Micr Transmission vesicles</td>
<td valign="middle" align="left">Viral RNA, proteins</td>
<td valign="middle" align="left">Enhances replication and cell-to-cell transmission</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B69">69</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EBV</td>
<td valign="middle" align="left">Apoptotic bodies</td>
<td valign="middle" align="left">Viral DNA, miRNAs</td>
<td valign="middle" align="left">Modulates immune response and maintains latency</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B10">10</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Influenza A</td>
<td valign="middle" align="left">Exosomes</td>
<td valign="middle" align="left">Viral RNA, proteins</td>
<td valign="middle" align="left">Enhances viral replication and modulates host immune response</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B70">70</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">SARS-CoV-2</td>
<td valign="middle" align="left">Exosomes, Microvesicles</td>
<td valign="middle" align="left">Viral RNA, proteins</td>
<td valign="middle" align="left">Promotes infection, modulates host immune response</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B71">71</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">CMV</td>
<td valign="middle" align="left">Exosomes</td>
<td valign="middle" align="left">Viral miRNAs, proteins</td>
<td valign="middle" align="left">Inhibits host immune recognition, promotes viral persistence</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B72">72</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Zika virus</td>
<td valign="middle" align="left">Exosomes</td>
<td valign="middle" align="left">Viral RNA, miRNAs</td>
<td valign="middle" align="left">Facilitates viral dissemination and immune evasion</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B9">9</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Integrative model of EV-mediated interactions during viral infection. This figure illustrates several EV-mediated processes that lead to viral infection. <bold>(A)</bold> Viral elements, such as proteins, genomes, and miRNAs, are packaged into intraluminal vesicles (ILVs) inside multivesicular bodies (MVBs). <bold>(B)</bold> Microvesicles that are released directly from the plasma membrane also contain viral material. <bold>(C, D)</bold> Viral particles are transferred from the trans-Golgi network or autophagic routes and packaged into vesicles (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). EVs facilitate viral dissemination, immune modulation, and immune evasion by fusion or delivery into the target cells. Magnified inset depicts EV cargo: viral proteins, genomes, host factors, glycoproteins, and miRNAs. These EVs can also serve as therapeutic carriers or reservoirs for biomarkers, depending on the host and viral status.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1634758-g002.tif">
<alt-text content-type="machine-generated">Diagram illustrating the process of viral release and interaction with host cells. The cell features internal compartments like the nucleus and MVB (multivesicular body), with arrows showing the pathways of viral components, including proteins, genomes, host factors, and virions. Exosomes and shedding microvesicles (MV) are depicted in detail, with a focus on ILVs and exosomes. A key explains symbols for viral proteins, genomes, host factors, virions, microRNAs, glycoproteins, and scission machinery.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Mechanisms of EV-mediated viral transmission. <bold>(A)</bold> Viral entry in the host cell is depicted schematically as a fusion, endocytosis and phagocytosis/micropinocytosis. The pathways describe the topic of viral RNA/protein and other elements release into the early endosome and its subsequent transport to the late endosomal/early multivesicular bodies (MVBs). <bold>(B)</bold> The following panel depicts viral components encapsulated in EVs, followed by the fusion of MVBs and the release of exosomes. In the process of transmitting viral RNA/miRNA and proteins, we can regard EVs as the vectors that transfer the viruses from infected cells to recipient non-infected cells. Combined, the diagrams emphasize the bipartite function of EVs in viral transmission.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1634758-g003.tif">
<alt-text content-type="machine-generated">Diagram illustrating virus entry and exit processes in cells. Panel A shows virus fusion and endocytosis in an infected cell, leading to viral RNA, protein release, and exosome packaging. The exosomes then transfer viral RNA to an uninfected cell. Panel B depicts a cell producing extracellular vesicles (EVs) which move to a receiving cell.</alt-text>
</graphic>
</fig>
<p>EVs, such as exosomes and microvesicles, play a significant role in HIV transmission within the host. Importantly, EVs released from HIV-1-infected cells transfer co-receptors CCR5 and CXCR4 to non-susceptible cells, significantly increasing viral tropism <italic>in vitro</italic> and potentially <italic>in vivo</italic> (<xref ref-type="bibr" rid="B68">68</xref>). For instance, EVs from infected peripheral blood mononuclear cells (PBMCs) transfer CCR5 to facilitate macrophage-tropic HIV entry, whereas those from megakaryocytes/platelets transfer CXCR4 to enable X4-tropic viral infection (<xref ref-type="bibr" rid="B86">86</xref>). Additionally, exosomes released by dendritic cells can carry HIV particles in CD8-positive compartments, allowing for trans-infection of CD4<sup>+</sup> T cells (<xref ref-type="bibr" rid="B87">87</xref>).</p>
<sec id="s5_1">
<label>5.1</label>
<title>EVs in human immune deficiency virus EVs</title>
<p>HIV-infected cells release EVs that carry the accessory protein Nef, which triggers some of the disease-causing processes: It induces CD4<sup>+</sup> T cell apoptosis by binding to CXCR4 and inhibiting CD4 and MHC-I surface expression, disrupting adaptive immunity (<xref ref-type="bibr" rid="B88">88</xref>). It mediates TNF&#x3b1; release by sequestering ADAM17/TACE, leading to persistent inflammation and reactivation of latent HIV reservoirs (<xref ref-type="bibr" rid="B89">89</xref>). Additionally, EVs also carry trans-activation response (TAR) RNA, which, upon delivery to target cells, downregulates pro-apoptotic proteins Bim and Cdk9, promoting cell survival, and increases susceptibility to HIV infection (<xref ref-type="bibr" rid="B90">90</xref>). Viral RNA transfer via EVs also activates innate receptors (e.g., TLR8), further promoting chronic inflammation through cytokines like IL-6 and TNF&#x3b2; (<xref ref-type="bibr" rid="B91">91</xref>). EVs containing host-derived pro-inflammatory mediators, including miRNAs miR&#x2212;155, miR&#x2212;223, and miR&#x2212;29a, as well as proteins HIF&#x2212;1&#x3b1;, have been linked to endothelial activation, immune cell dysfunction, and neuroinflammatory cascades, contributing to HIV-related comorbidities (<xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>EVs have the potential to serve as HIV biomarkers and therapeutic agents. Elevated platelet- and endothelial-derived EVs correlate with immune activation and vascular dysfunction in HIV-infected patients. EVs containing Nef protein and TAR RNA have been found in patient plasma even after the administration of combination antiretroviral therapy (cART), making them potential markers for residual viral activity detection (<xref ref-type="bibr" rid="B93">93</xref>). Moreover, EVs are also antiviral, some APOBEC3G and cyclic GMP&#x2212;AMP (cGAMP), which interfere with viral replication and trigger antiviral signaling in target cells (<xref ref-type="bibr" rid="B85">85</xref>). This seemingly contradictory role, facilitating HIV transmission on one hand and blocking it on the other, indicates a multifunctional role of EVs that could be harnessed for therapeutic purposes (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Role of EVs in enhancing viral replication and pathogenesis across various viral infections.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Virus</th>
<th valign="middle" align="left">EV cargo</th>
<th valign="middle" align="left">Mechanism of action</th>
<th valign="middle" align="left">Pathogenic role</th>
<th valign="middle" align="left">Relevance to host immune response yherapeutic/diagnostic potential</th>
<th valign="middle" align="left">Therapeutic/diagnostic potential</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">HIV-1</td>
<td valign="middle" align="left">Nef protein, Tat protein, miRNAs</td>
<td valign="middle" align="left">Modulation of host immune signaling pathways, enhancement of viral transcription</td>
<td valign="middle" align="left">Promotes viral persistence, immune suppression, and evasion</td>
<td valign="middle" align="left">Alter&#x2019;s innate immune responses reduce T-cell activation</td>
<td valign="middle" align="left">Targeting Nef to reduce viral reservoirs, EVs as biomarkers for viral load in ART-resistant cases</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B94">94</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HCV</td>
<td valign="middle" align="left">Viral proteins (core, NS3, NS5A), host miRNAs</td>
<td valign="middle" align="left">Enhances viral replication by manipulating host machinery, modulates immune responses</td>
<td valign="middle" align="left">Facilitates viral spread across hepatocytes, immune evasion</td>
<td valign="middle" align="left">Inhibits type I IFN responses, promotes chronic infection</td>
<td valign="middle" align="left">EV-mediated delivery of antivirals, potential diagnostic biomarkers for liver damage</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B95">95</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EBV</td>
<td valign="middle" align="left">Viral miRNAs (e.g., BART miRNAs)</td>
<td valign="middle" align="left">Suppresses host antiviral cytokine production, promotes cell proliferation</td>
<td valign="middle" align="left">Maintains viral latency, immune evasion, and contributes to tumorigenesis</td>
<td valign="middle" align="left">Alters immune cell function, promotes immune evasion in B cells</td>
<td valign="middle" align="left">Potential for miRNA-based therapies, EVs as biomarkers for early EBV-related cancer detection</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B96">96</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HBV</td>
<td valign="middle" align="left">Surface proteins (HBsAg), viral DNA</td>
<td valign="middle" align="left">Promotes viral replication and chronic infection, inhibits host immune response</td>
<td valign="middle" align="left">Facilitates viral persistence, liver damage, and immune evasion</td>
<td valign="middle" align="left">Reduces NK cell activation, inhibits cytotoxic T lymphocytes</td>
<td valign="middle" align="left">EVs as potential biomarkers for liver fibrosis and HBV disease progression</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B97">97</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Influenza</td>
<td valign="middle" align="left">Viral proteins (e.g., HA, M1), host RNA</td>
<td valign="middle" align="left">Enhances viral entry into host cells, facilitates immune modulation</td>
<td valign="middle" align="left">Promotes viral spread in respiratory tissues, immune suppression</td>
<td valign="middle" align="left">Inhibits antiviral signaling pathways, interferes with immune cell recruitment</td>
<td valign="middle" align="left">EVs as potential delivery vehicles for antiviral drugs and vaccine</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">SARS-CoV-2</td>
<td valign="middle" align="left">Viral proteins (e.g., Spike, N), host miRNAs</td>
<td valign="middle" align="left">EVs aid viral transmission, modulate host immune responses</td>
<td valign="middle" align="left">Enhances viral spread, promotes immune evasion, and cytokine storms</td>
<td valign="middle" align="left">EVs carry viral RNA that alters immune response, promotes lung inflammation</td>
<td valign="middle" align="left">Diagnostic biomarkers for disease severity, potential for EV-based therapeutic interventions</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>EVs and hepatitis B virus infection</title>
<p>New studies have confirmed that HBV-infected hepatocytes secrete EVs-CD63<sup>+</sup>/CD81<sup>+</sup> exosomes containing HBV DNA and intact virions. They demonstrated that these HBV DNA-loaded exosomes infect naive hepatocytes via a ceramide-dependent, ESCRT-independent pathway; these exosomes are resistant to neutralizing antibodies (<xref ref-type="bibr" rid="B100">100</xref>). They extended their findings to patient sera and showed that exosomes infect NK cells and inhibit their function (<xref ref-type="bibr" rid="B101">101</xref>). Additionally, they demonstrated that exosomal virions carry large surface antigens (LHBs) and enter target cells through NTCP-dependent entry, establishing an alternative entry pathway of HBV. HBV-derived EVs radically reorganize innate immunity. They demonstrated that exosomes from infected hepatocytes increase PD-L1 expression in monocytes and macrophages, inhibiting T-cell activation through PD&#x2212;1 signaling (<xref ref-type="bibr" rid="B101">101</xref>). At the same time, pathogen-induced exosomes both stimulate NK cell activity through MyD88/TICAM-1/MAVS pathways and inhibit IL&#x2212;12 through microRNAs (e.g., miR&#x2212;21, miR&#x2212;29), reducing innate antiviral immunity (<xref ref-type="bibr" rid="B71">71</xref>). Proteomics also identified complement factor, lipopolysaccharide-binding protein, and extracellular matrix protein enriched within plasma EVs, linking them to disease progression and potential as biomarkers in chronic hepatitis (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>) (<xref ref-type="bibr" rid="B53">53</xref>).</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>EVs and hepatitis C virus infection</title>
<p>HCV also hijacks EVs for infectivity and immune evasion. eHAV-like EVs from HCV consist of stable viral RNA-AGO2-HSP90-miR-122 complexes, shielding the RNA from neutralizing antibodies and facilitating target-cell entry (<xref ref-type="bibr" rid="B68">68</xref>). EVs also transfer glycoproteins E1/E2 and immunomodulatory miRNAs (e.g., miR&#x2212;19a, miR&#x2212;192), triggering fibrosis and inhibiting immune responses through RUNXOR-mediated induction of ARG1, iNOS, STAT3, and ROS-induced T-cell apoptosis. In contrast, EVs secreted by non-parenchymal liver cells (e.g., activated macrophages or LSECs) bearing type I/III interferons or antiviral miRNAs may suppress HCV replication, which suggests opposite roles based on their origin (<xref ref-type="bibr" rid="B102">102</xref>). EVs are emerging as promising therapeutic delivery platforms. In HBV, Tenofovir-treated patient serum EVs and macrophage EVs exert antiviral activity, inhibiting HBsAg, HBeAg, HBV DNA, and cccDNA in hepatoma cells&#x2014;processes mediated by exosomal lncRNA HOTTIP (<xref ref-type="bibr" rid="B103">103</xref>). Furthermore, HBsAg-bearing exosomes or adjuvant-modified exosomes elicited robust CTL responses, enabling antigen cross-priming (<xref ref-type="bibr" rid="B103">103</xref>). In HCV, EVs carrying let-7f, miR-145, miR-199a, and miR-221delivered from MSCs strongly inhibit viral replication, while strategies targeting EVs release pathway (e.g., ESCRT, ceramide) also reduced HCV infection <italic>in vitro</italic> (<xref ref-type="bibr" rid="B100">100</xref>).</p>
</sec>
<sec id="s5_4">
<label>5.4</label>
<title>EVs and SARS-CoV-2 infection</title>
<p>EVs resemble enveloped viruses in size, composition, and biogenesis which makes conventional separation methods challenging (<xref ref-type="bibr" rid="B104">104</xref>). This biophysical mimicry has been exploited for therapy: ACE2-positive EVs (ACE2-EVs), either endogenous or genetically modified, act as decoys by binding the SARS-CoV-2 spike protein and blocking viral attachment to host cells (<xref ref-type="bibr" rid="B105">105</xref>). It has been demonstrated that TMPRSS2-enhanced ACE2-extracellular vesicles (ACE2-EVs) neutralize spike-pseudotyped lentiviruses with significant efficacy, which is more potent than the soluble form. Moreover, circulating ACE2-EVs from COVID-19 patients neutralized wild-type and variant strains (&#x3b1;, &#x3b2;, &#x3b4;) <italic>in vitro</italic>, and protected hACE2-transgenic mice against lung injury (<xref ref-type="bibr" rid="B106">106</xref>). Several studies have designed ACE2-expressing EVs as antiviral treatments, showing that intranasal administration of engineered EVs&#x2212;ACE2 profoundly blocked SARS&#x2212;CoV&#x2212;2 pseudovirus infection in mice (<xref ref-type="bibr" rid="B107">107</xref>). Nanodecoys, as reported in a study that included ACE2 and cytokine&#x2212;receptor EVs, not only neutralized the virus but also bound inflammatory cytokines such as IL&#x2212;6 and GM&#x2212;CSF, thereby reducing pulmonary injury in pneumonia mouse models (<xref ref-type="bibr" rid="B108">108</xref>). In another study it is shown that ACE2&#x2212;EVs are 500&#x2013;1000 times more potent than spike&#x2212;EVs for certain strains, although the potency of EV decoys may vary with modified variants such as Omicron (<xref ref-type="bibr" rid="B109">109</xref>). ACE2&#x2212;EVs exhibit significantly higher blocking activity compared to soluble recombinant ACE2&#x2014;approximately 135&#x2212;fold higher potency in spike&#x2212;binding assays, and provide 60-80-fold higher protection in cell culture and animal models (<xref ref-type="bibr" rid="B110">110</xref>). Besides their antiviral decoy function, EVs are also used as vaccine vectors. EVs expressing the SARS-CoV-2 spike protein have been employed in preclinical studies, eliciting robust humoral and cellular immune responses in mice, even without the use of adjuvants. EV-mediated antigen diversion improves antigen presentation and neutralizing antibody responses, offering a safer alternative to viral vectors (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>) (<xref ref-type="bibr" rid="B111">111</xref>).</p>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>EVs role in viral infections and immune modulation</title>
<p>EVs show great potential for the prevention and treatment of a wide range of diseases (As shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) and detailed in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>. Despite this promise, their clinical application is hindered by significant challenges, especially regarding low production yields and inconsistent therapeutic effectiveness (<xref ref-type="bibr" rid="B112">112</xref>). EVs derived from immune cells play a key role in coordinating and regulating immune responses. Gaining a deeper understanding of their formation, molecular cargo, and functional activities can improve our knowledge of immune system dynamics and lead to new therapeutic possibilities (<xref ref-type="bibr" rid="B53">53</xref>). EVs, including MVs and exosomes, have become key facilitators in the spread of viral infections, acting as protective carriers for both enveloped and non-enveloped viruses. Although these vesicles allow viruses to modulate host immune responses, promote their dissemination, and avoid immune detection (<xref ref-type="bibr" rid="B113">113</xref>). EVs play an active role in regulating viral infection rather than merely supporting them. EVs can facilitate the non-lytic release of virus from infected cells, allowing the host cell to remain intact while aiding in the infection of new targets (<xref ref-type="bibr" rid="B114">114</xref>). Studies have demonstrated that viruses can efficiently infect host cells by utilizing EVs, which enhances their capacity to spread while helping them evade the host&#x2019;s immune defenses. In addition to these mechanistic insights, quantitative profiling of EV cargo has revealed virus-specific patterns in protein, RNA, and miRNA content. For example, HIV-derived EVs are enriched with Nef protein and TAR miRNA, HBV-associated vesicles carry HBx mRNA and viral DNA, while SARS-CoV-2 EVs contain spike protein and host miRNAs that regulate interferon responses. These quantitative differences highlight how EVs not only carry viral material but also actively shape immune modulation and disease progression (<xref ref-type="bibr" rid="B53">53</xref>) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). EVs can also modulate host antiviral signaling. For example, tissue-secreted EVs (ASTEX), such as those containing microRNAs (like miR-16), suppressed mTOR signaling in lung epithelial cells, resulting in decreased viral titers and cytopathic protection. This implies a dual role of EVs: direct antiviral blockade and immune modulation to avoid tissue damage (<xref ref-type="bibr" rid="B119">119</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>EV-mediated modulation of immune signaling pathways. Extracellular vesicles modulate immune-related signaling pathways. It brings into focus the major interaction events, including the binding of ligand to receptor, cross-linking, and other processes, as well as signal transduction and changes in gene expression. Specifically, EVs are implicated in modulating cellular communication and altering pathways that span from inflammation to antigen presentation and T-cell activation. The schematic also provides an integrative picture of how EVs shape immune responses, including the proposal that they participate in both immune system tolerance and activation. Specific signaling molecules, such as cytokines and receptors, and feedback loops are identified, highlighting the complexity of their involvement in immune regulation and pathology. Moreover, this model emphasizes EVs as therapeutic targets and diagnostic biomarkers in immune-mediated diseases.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1634758-g004.tif">
<alt-text content-type="machine-generated">Extracellular vesicles (EVs) deliver mRNAs, proteins, cytokines, and chemokines, modulating immune pathways (NF-kB, JAK/STAT) and immune cells (T cells, dendritic cells). This results in decreased inflammatory response, suppressed immune activation, and promotes viral survival and persistence, leading to immune evasion and chronic infection, as seen in HCV and EBV.</alt-text>
</graphic>
</fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Quantitative profiles of EV cargoes in viral infection.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Virus</th>
<th valign="middle" align="left">EV Cargo</th>
<th valign="middle" align="left">Cargo Type</th>
<th valign="middle" align="left">Observed Fold Change/Concentration</th>
<th valign="middle" align="left">Biological Impact</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">HIV</td>
<td valign="middle" align="left">Nef protein</td>
<td valign="middle" align="left">Viral protein</td>
<td valign="middle" align="left">&#x2191; ~3.5-fold in EVs from infected cells vs. control</td>
<td valign="middle" align="left">Induces apoptosis in CD4<sup>+</sup> T cells</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B120">120</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HIV</td>
<td valign="middle" align="left">TAR miRNA</td>
<td valign="middle" align="left">Viral miRNA</td>
<td valign="middle" align="left">~1.6&#xd7; enrichment in plasma EVs</td>
<td valign="middle" align="left">Activates NF-&#x3ba;B and promotes viral replication</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B120">120</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HBV</td>
<td valign="middle" align="left">HBx mRNA, viral DNA</td>
<td valign="middle" align="left">Viral RNA/DNA</td>
<td valign="middle" align="left">EV DNA &gt;1.5 log copies/mL in serum</td>
<td valign="middle" align="left">Facilitates immune evasion</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B121">121</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">HCV</td>
<td valign="middle" align="left">miR-122</td>
<td valign="middle" align="left">Host miRNA</td>
<td valign="middle" align="left">~4-fold increase in serum EVs during infection</td>
<td valign="middle" align="left">Enhances viral replication in liver</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B11">11</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">SARS-CoV-2</td>
<td valign="middle" align="left">Spike protein (S1/S2)</td>
<td valign="middle" align="left">Viral protein</td>
<td valign="middle" align="left">Detected at ~100&#x2013;300 pg/mL in EV fractions</td>
<td valign="middle" align="left">Potential for immune modulation or decoy effect</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B107">107</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">SARS-CoV-2</td>
<td valign="middle" align="left">miR-148a, miR-21-5p</td>
<td valign="middle" align="left">Host miRNA</td>
<td valign="middle" align="left">2.5&#x2013;3.8&#xd7; higher in COVID-19 patient EVs</td>
<td valign="middle" align="left">Regulates interferon signaling, inflammation</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B107">107</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EBV</td>
<td valign="middle" align="left">BART miRNAs</td>
<td valign="middle" align="left">Viral miRNA</td>
<td valign="middle" align="left">~6-fold higher in EVs from infected cells</td>
<td valign="middle" align="left">Suppresses immune recognition</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B122">122</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The symbol &#x2191; indicates an increase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Role of EVs in immune response during viral infections.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">EV mechanism</th>
<th valign="middle" align="left">Immune system component</th>
<th valign="middle" align="left">Impact</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Antigen presentation via MHC molecules</td>
<td valign="middle" align="left">Cytotoxic T Lymphocytes (CTLs), T helper cells</td>
<td valign="middle" align="left">Activation of virus-specific CTLs, initiation of adaptive immune responses through EV-mediated antigen presentation</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B115">115</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EV-mediated cytokine and chemokine release</td>
<td valign="middle" align="left">Macrophages, dendritic cells, NK cells</td>
<td valign="middle" align="left">Activation of innate immune response, enhancement of interferon production, promotion of pro-inflammatory signaling</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B116">116</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EVs carrying viral RNA and proteins</td>
<td valign="middle" align="left">Toll-like Receptors (TLRs), RIG-I, MDA5</td>
<td valign="middle" align="left">Induction of antiviral innate immune pathways (e.g., type I interferon response), activation of antiviral gene transcription</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B11">11</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Immune checkpoint modulation via EVs</td>
<td valign="middle" align="left">Regulatory T cells (Tregs), dendritic cells</td>
<td valign="middle" align="left">Immune suppression through modulation of PD-L1 and other checkpoint molecules on EV surfaces, promoting viral persistence</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B117">117</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EVs carrying host or viral miRNAs</td>
<td valign="middle" align="left">Monocytes, macrophages, epithelial cells</td>
<td valign="middle" align="left">Modulation of host immune response, inhibition of antiviral gene expression, suppression of pro-inflammatory cytokines</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EV-mediated transfer of viral antigens</td>
<td valign="middle" align="left">B cells, dendritic cells, macrophages</td>
<td valign="middle" align="left">Stimulation of antibody production, modulation of B cell responses, contribution to humoral immunity, and long-term viral control</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B116">116</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EV-driven modulation of antiviral immunity</td>
<td valign="middle" align="left">Innate lymphoid cells, NK cells, neutrophils</td>
<td valign="middle" align="left">Enhancement or suppression of antiviral immunity through EV-mediated delivery of modulatory factors like viral proteins or host molecules</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B11">11</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s7">
<label>7</label>
<title>EVs as biomarkers for viral infections</title>
<sec id="s7_1">
<label>7.1</label>
<title>Diagnostic potential of EVs in detecting viral infections</title>
<p>This makes EVs very promising as diagnostic tools for identifying viral infections. Their ability to encapsulate and transport viral proteins, RNA, and intact viral particles makes EVs an easily accessible source of viral biomarkers. For example, in HBV and HCV-infected patients, extracted EVs carry viral RNA that can be identified using technologies such as PCR (<xref ref-type="bibr" rid="B9">9</xref>). Similarly, EVs isolated from HIV and influenza patients contain viral materials that reflect the infection condition. Therefore, they can be very reliable for noninvasive diagnosis (<xref ref-type="bibr" rid="B123">123</xref>). Another advantage of EVs is that they can be easily separated from readily accessible biological fluids, such as blood, saliva, and urine, thereby further enhancing their diagnostic utility. Traditional diagnostic technique often relies on biopsy, which is invasive and risky. In contrast, EV-based diagnostics have the potential to be less invasive and more effective in monitoring viral infections. For example, circulating EVs present in the plasma of patients with COVID-19 contain viral RNA and are therefore potentially used as targets for the early detection of SARS-CoV-2 infection (<xref ref-type="bibr" rid="B98">98</xref>, <xref ref-type="bibr" rid="B124">124</xref>).</p>
</sec>
<sec id="s7_2">
<label>7.2</label>
<title>EV-based biomarkers for disease progression and prognosis</title>
<p>The significance of their role as diagnostic agents, EVs, is vital for determining the course and prognosis of viral infections. Generally, the content of the majority of EVs reflects the progression of disease and may be associated with the host immune response or the level of viral spread. For example, in HIV infection, the number of EVs containing viral proteins and host molecules, such as pro-inflammatory cytokines, correlates with the viral load and the degree of immune activation, predicting disease progression (<xref ref-type="bibr" rid="B125">125</xref>). In chronic viral infections like HCV, a specific set of miRNAs is trapped inside EVs, including miR-122, which is involved in liver disease progression and fibrosis (<xref ref-type="bibr" rid="B68">68</xref>). Its monitoring provides prognostic value, which potentially leads to clinical decisions regarding antiviral therapy or even transplantation at advanced stages. Additionally, research on EVs carrying viral RNA and proteins in emerging viral infections, such as Zika and Ebola, shows that they carry transport viral RNAs and proteins, which have been used to evaluate disease-level patient prognosis (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B123">123</xref>).</p>
</sec>
</sec>
<sec id="s8">
<label>8</label>
<title>Therapeutic potential of EVs in viral infections</title>
<sec id="s8_1">
<label>8.1</label>
<title>EVs as vehicles for antiviral drug delivery</title>
<p>EVs, particularly exosomes, offer an exciting delivery system for antiviral drugs because they naturally carry bioactive molecules from one cell to another. EVs enable the direct delivery of therapeutics to infected tissues. They are biocompatible, allowing them to cross biological barriers such as the blood-brain barrier, making them ideal candidates for targeted drug delivery systems (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>). EVs can be engineered to transport antiviral agents, including small-molecule drugs, nucleic acids like siRNA and mRNA, and proteins that suppress viral replication or enhance host immune responses (<xref ref-type="bibr" rid="B11">11</xref>). For example, exosomes filled with antiviral siRNAs have been studied as a therapeutic strategy to silence key viral genes in HCV infection (<xref ref-type="bibr" rid="B128">128</xref>). Loading EVs with therapeutic siRNAs reduces off-target effects and lowers the toxicity of the treatment compared to systemic administration of the drug. Further, new antiviral therapies are being developed with EVs, including the delivery of CRISPR Cas systems aimed at correcting the viral genome in infected cells (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>) (<xref ref-type="bibr" rid="B137">137</xref>, <xref ref-type="bibr" rid="B138">138</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>EV-based therapies in viral models.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Virus</th>
<th valign="middle" align="center">EV source</th>
<th valign="middle" align="center">EV cargo</th>
<th valign="middle" align="center">Therapeutic application</th>
<th valign="middle" align="center">Outcome</th>
<th valign="middle" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">HIV</td>
<td valign="middle" align="left">MSC-derived EVs</td>
<td valign="middle" align="left">siRNA targeting HIV-1 gag</td>
<td valign="middle" align="left">Antiviral siRNA delivery</td>
<td valign="middle" align="left">&#x2193; HIV RNA expression in PBMC cultures</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B129">129</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Dendritic cell (DC)-derived EVs</td>
<td valign="middle" align="left">HIV p24 antigen + co-stimulatory molecules</td>
<td valign="middle" align="left">Vaccine immunotherapy</td>
<td valign="middle" align="left">&#x2191; CD8<sup>+</sup> T cell response and IFN-&#x3b3; production</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B130">130</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">HBV</td>
<td valign="middle" align="left">Hepatocyte-derived EVs</td>
<td valign="middle" align="left">siHBV targeting HBV polymerase</td>
<td valign="middle" align="left">RNA interference therapy</td>
<td valign="middle" align="left">&#x2193; HBV replication and viral antigen <italic>in vitro</italic>
</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B131">131</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Engineered EVs</td>
<td valign="middle" align="left">HBV antigens (HBsAg, HBcAg)</td>
<td valign="middle" align="left">Exosome-based vaccine</td>
<td valign="middle" align="left">&#x2191; Antibody titers, activation of HBV-specific CD4<sup>+</sup>/CD8<sup>+</sup> T cells in mice</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B132">132</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">HCV</td>
<td valign="middle" align="left">MSC-derived exosomes</td>
<td valign="middle" align="left">Anti-HCV siRNA (targeting NS5B)</td>
<td valign="middle" align="left">Gene silencing therapy</td>
<td valign="middle" align="left">&#x2193; HCV RNA levels in infected hepatocytes</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B133">133</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">DC-derived exosomes</td>
<td valign="middle" align="left">HCV NS3/NS4 proteins</td>
<td valign="middle" align="left">Vaccine delivery</td>
<td valign="middle" align="left">&#x2191; T cell response, protection in murine model</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B134">134</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">SARS-CoV-2</td>
<td valign="middle" align="left">Engineered EVs expressing ACE2</td>
<td valign="middle" align="left">ACE2 receptors + cytokine scavengers</td>
<td valign="middle" align="left">Antiviral decoy &amp; immunotherapy</td>
<td valign="middle" align="left">&#x2193; Lung injury, &#x2193; viral titers in ACE2-mice, cytokine neutralization</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B135">135</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">EVs carrying spike protein</td>
<td valign="middle" align="left">Full-length spike or S1 antigen</td>
<td valign="middle" align="left">Vaccine antigen presentation</td>
<td valign="middle" align="left">&#x2191; Neutralizing antibody titers, &#x2193; weight loss in infected animal models</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B107">107</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Zika Virus</td>
<td valign="middle" align="left">Plasma-derived EVs</td>
<td valign="middle" align="left">Viral RNA, envelope proteins</td>
<td valign="middle" align="left">Diagnostic biomarker development</td>
<td valign="middle" align="left">EV profiling used to distinguish ZIKV-positive from control plasma samples</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B136">136</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The symbol &#x2193;&#x2191; indicates both decrease and increase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s8_2">
<label>8.2</label>
<title>EV-based vaccines and immunotherapies</title>
<p>They have also demonstrated significant potential in developing vaccines and immunotherapies for viral infections. Exosomes derived from either infected or antigen-presenting cells can carry viral antigens, making them valuable tools for stimulating the immune response (<xref ref-type="bibr" rid="B139">139</xref>). These EVs trigger both innate and adaptive immune pathways, which are essential for an effective vaccine response. For example, exosomes containing viral proteins can provoke a potent immune response against HIV. Various studies have shown that exosomes pre-loaded with HIV antigens can be stimulate T-cell responses with broad specificity, offering a new approach for vaccine development (<xref ref-type="bibr" rid="B69">69</xref>). This method is also being utilized in the development of vaccines against emerging viruses, such as SARS-CoV-2. Such vaccines may include viral spike proteins or other epitopes to trigger the production of neutralizing antibodies (<xref ref-type="bibr" rid="B140">140</xref>). In tumor immunotherapy, EVs have already proved their concept by presenting tumor antigens. Similarly, in viral infections, these principles are applied in the use of EV-based vaccines, which now show promise for the inducing long-term immunity (<xref ref-type="bibr" rid="B115">115</xref>).</p>
</sec>
<sec id="s8_3">
<label>8.3</label>
<title>Engineering EVs for targeted therapy</title>
<p>EVs can be engineered for targeted therapies. By modifying the surface proteins of EVs, researchers can design them to target specific virus-infected cells or tissues. This specificity enhances therapeutic outcomes by minimizing the risks of side effects on healthy tissues and targeting antiviral agents where they are needed (<xref ref-type="bibr" rid="B139">139</xref>). For example, exosomes can be designed to deliver surface ligands that bind specifically to receptors on infected cells, such as CD4 receptors in HIV-infected cells (<xref ref-type="bibr" rid="B139">139</xref>, <xref ref-type="bibr" rid="B141">141</xref>). In this case, targeted delivery increases the effectiveness of the therapeutic agents by delivering their payload directly to the infection site, enhancing the antiviral response.</p>
<p>Additionally, EVs can be engineered to carry immune-modulating molecules, which can boost host immunity against the virus and further expand their therapeutic potential. Another promising area involves developing EVs as platforms for combination therapies. For example, EVs can be loaded with multiple therapeutic agents, such as a combination of antiviral drugs and immune modulators, leading to more effective and adaptable treatments for both chronic and acute viral infections. In case of HBV infections, EVs can deliver siRNAs along with nucleoside analogs to simultaneously inhibit viral replication through a dual blockade of the viral life cycle (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>) (<xref ref-type="bibr" rid="B95">95</xref>).</p>
</sec>
</sec>
<sec id="s9">
<label>9</label>
<title>Challenges and future perspectives</title>
<p>Although EVs show great potential as biomarkers in viral infections, their clinical use faces several technical and methodological challenges. One major issue is the lack of standardized protocols for the isolation and characterization of EVs. Common techniques, such as ultracentrifugation, size-exclusion chromatography, and immunoaffinity capture, produce EV populations that vary in purity and molecular composition, which hinders reproducibility and comparisons across different laboratories. This inconsistency makes developing universally accepted diagnostic platforms more difficult (<xref ref-type="bibr" rid="B142">142</xref>, <xref ref-type="bibr" rid="B143">143</xref>). Another major challenge involves EV heterogeneity. EV populations comprise various subtypes, including exosomes, microvesicles, and apoptotic bodies, which differ in size, origin, and content. Isolating specific subtypes for diagnostic purposes remains difficult because of overlapping physical and biochemical features (<xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B144">144</xref>). Additionally, EV samples often contain contaminants such as protein aggregates and lipoproteins, which can hinder the identification of EV-specific biomarkers and functions (<xref ref-type="bibr" rid="B145">145</xref>). The sensitivity and scalability of current detection methods are also limited, especially when analyzing low-abundance EV biomarkers in early-stage infections. Although microfluidic platforms, nanotechnology-based tools, and machine learning algorithms offer potential for high-throughput and accurate EV analysis, these approaches still require further improvement for clinical use (<xref ref-type="bibr" rid="B144">144</xref>, <xref ref-type="bibr" rid="B146">146</xref>). Understanding EV cargo through integrative omics, proteomics, transcriptomics, and metabolomics can offer deeper insights into their roles in viral pathogenesis and host immune modulation. However, most current findings depend heavily on <italic>in vitro</italic> models with limited validation in <italic>in vivo</italic> systems. Functional assays often lack dose response data or appropriate negative controls, as highlighted in the MISEV2023 guidelines. Additionally, inconsistencies in terminology and classification across studies and databases highlight the need for unified reference standards and broader adoption of the MISEV framework. To bridge these gaps, future research must focus on: (i) improving EV subtype discrimination through advanced imaging and single-vesicle analysis; (ii) developing label-free, scalable isolation technologies; and (iii) enhancing the functional validation of EV roles in infection and immunity. Additionally, EV engineering presents exciting opportunities for targeted drug delivery and the development of antiviral vaccines. Addressing these issues is crucial for the successful translation of EV-based diagnostics and therapeutics into clinical settings.</p>
</sec>
<sec id="s10" sec-type="conclusions">
<label>10</label>
<title>Conclusion</title>
<p>EVs are vital mediators of cell-to-cell communication and play diverse roles in the context of viral infections. This review highlighted the multifunctional nature of EVs as modulators of viral pathogenesis, potential diagnostic biomarkers, and therapeutic tools. EVs contribute significantly to the progression of viral disease by enhancing viral infection, facilitating immune evasion, and regulating host immune responses. As such, they serve both as vectors for viral transmission and as promising targets for therapeutic intervention. Key points from this review emphasize the e dynamic role of EVs in shaping the outcomes of viral diseases, due to their ability to encapsulate and transport viral components. EVs not only promote viral replication and dissemination but also reflect the pathological state of infected cells, offering potential utility in diagnostics and disease monitoring. Moreover, advances in EV engineering have opened new avenues for the delivery of antiviral drugs, vaccine development, and the design of targeted therapies. These developments highlight the need to view EVs not just as passive bystanders but as active players in viral life cycle and as tool for medical innovation.</p>
</sec>
</body>
<back>
<sec id="s11" sec-type="author-contributions">
<title>Author contributions</title>
<p>MS: Writing &#x2013; original draft. C-WC: Writing &#x2013; review &amp; editing, Funding acquisition, Writing &#x2013; original draft. AQ:&#xa0;Writing &#x2013; review &amp; editing. MA: Funding acquisition, Writing &#x2013; review &amp; editing. FA: Writing &#x2013; review &amp; editing. KJA: Writing &#x2013; review &amp; editing. KFA: Writing &#x2013; review &amp; editing. C-CC: Funding acquisition, Writing &#x2013; review &amp; editing. SH: Writing &#x2013; review &amp; editing, Supervision, Conceptualization.</p>
</sec>
<sec id="s12" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through the Large Research Group Program under grant number (R.G.P.02/709/46).</p>
</sec>
<sec id="s13" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s14" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s15" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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