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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.2025.1514726</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>Microbiota-derived extracellular vesicles: current knowledge, gaps, and challenges in precision nutrition</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Marquez-Paradas</surname>
<given-names>Elvira</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2874605"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Torrecillas-Lopez</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2877606"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barrera-Chamorro</surname>
<given-names>Luna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>del Rio-Vazquez</surname>
<given-names>Jose L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gonzalez-de la Rosa</surname>
<given-names>Teresa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Montserrat-de la Paz</surname>
<given-names>Sergio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1393684"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Medical Biochemistry, Molecular Biology, and Immunology, School of Medicine, University of Seville</institution>, <addr-line>Seville</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Instituto de Biomedicina de Sevilla, IBiS/Hospital Universitario Virgen del Rocio/CSIC /Universidad de Sevilla</institution>, <addr-line>Seville</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Qian Jiang, Hunan Agricultural University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Lingjun Tong, Shandong First Medical University, China</p>
<p>Kairuo Wang, Tongji University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Sergio Montserrat-de la Paz, <email xlink:href="mailto:delapaz@us.es">delapaz@us.es</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1514726</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Marquez-Paradas, Torrecillas-Lopez, Barrera-Chamorro, del Rio-Vazquez, Gonzalez-de la Rosa and Montserrat-de la Paz</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Marquez-Paradas, Torrecillas-Lopez, Barrera-Chamorro, del Rio-Vazquez, Gonzalez-de la Rosa and Montserrat-de la Paz</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>The gut microbiota has co-evolved with its host, profoundly shaping the development and functioning of the immune system. This co-evolution has led to a dynamic relationship where microbial metabolites and molecular signals influence immune maturation, tolerance, and defense mechanisms, highlighting its essential role in maintaining host health. Recently, bacterial extracellular vesicles (BEVs), membrane nanoparticles produced by bacteria, have emerged as important players in gut balance and as potent immune modulators. These vesicles reflect the characteristics of the bacterial membrane and contain nucleic acids, proteins, lipids, and metabolites. They can regulate immune processes and are involved in neurological and metabolic diseases due to their ability to distribute both locally in the gut and systemically, affecting immune responses at both levels. This review provides a comprehensive overview of the characteristics and functional profile of BEVs, detailing how nutrition influences the production and function of these vesicles, how antibiotics can disrupt or alter their composition, and how these factors collectively impact immunity and disease development. It also highlights the potential of BEVs in the development of precision nutritional strategies through dietary modulation, such as incorporating prebiotic fibers to enhance beneficial BEV production, reducing intake of processed foods that may promote harmful BEVs, and tailoring probiotic interventions to influence specific microbial communities and their vesicular outputs.</p>
</abstract>
<kwd-group>
<kwd>diet</kwd>
<kwd>immunity</kwd>
<kwd>immunonutrition</kwd>
<kwd>gut microbiota</kwd>
<kwd>gut-brain-axis</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="105"/>
<page-count count="13"/>
<word-count count="6830"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Nutritional 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>The gut microbiota is defined as the set of microorganisms that colonise the gastrointestinal tract of mammals and is estimated to consist of about 100 trillion cells, the majority being bacterial species with a minority of fungal, archaeal, or even viroid kingdoms (<xref ref-type="bibr" rid="B1">1</xref>). In recent decades, extensive research has shown that the gut microbiota plays a key role in host physiology and immunity (<xref ref-type="bibr" rid="B2">2</xref>), as this complex ecosystem has essential functions in processes such as digestion and metabolism, immune system development and balance, maintenance of gut barrier integrity and functionality, angiogenesis, bone health, and behavior (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Because of all its implications, the detrimental alteration of the composition or functionality of the gut microbiota, known as dysbiosis, is linked to the development or progression of numerous pathological processes such as cancer, inflammatory bowel disease, and metabolic disorders like obesity and diabetes (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Of the many possible endogenous and exogenous host factors involved, diet emerges as a fundamental influencer of the gut microbiota community, which can determine not only the composition or diversity of the gut microbiota, but also the functionality and methodology of microbiota-gut interaction. Understanding the mechanisms by which these microorganisms regulate physiological processes and the role of different dietary signals in this ecosystem is crucial for developing effective therapeutic strategies against many diseases. Among the many research, at the height of the potential of extracellular vesicles (EVs), bacterial extracellular vesicles (BEVs) have emerged as important mediators of microbe-host communication. In this review, we analyze current knowledge on the biogenesis and content of BEVs, their role in host physiology and pathology, and the factors and dietary patterns that may influence their characteristics and functionality. We also address key gaps in understanding, such as the mechanisms governing BEV-host specificity and their systemic effects, as well as challenges in translating these findings into precision nutritional strategies.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>BEVs, an unexplored communication system</title>
<p>The gut microbiome is primarily composed of bacteria. There are estimated to be approximately 1000 bacterial species (<xref ref-type="bibr" rid="B10">10</xref>), most of which are present and common to all humans, although a minority is dependent on environmental and genetic factors, making the microbiota a dynamic and heterogeneous organ of high complexity (<xref ref-type="bibr" rid="B11">11</xref>). In 1967, electron microscopy revealed the production of extracellular vesicles (EVs) in bacteria, later termed bacterial extracellular vesicles (BEVs). Initially regarded as waste products, this discovery marked a turning point in understanding bacterial communication, paving the way for decades of research that redefined their biological significance (<xref ref-type="bibr" rid="B12">12</xref>). Continuing scientific advances have changed the perception of the usefulness of these BEVs. Although the fate and actions of these vesicles in host cells remain unexplored territory, recent decades have been significant progress in elucidating the mechanisms of their biogenesis. Furthermore, the composition and functionality that characterize them have become clearer.</p>
<sec id="s2_1">
<label>2.1</label>
<title>General properties of BEVs</title>
<p>BEVs are nanometer-sized vesicles that are formed from the parent cell membrane of the cell of origin. Unlike eukaryotic EVs, BEVs range in size exclusively below 400 nm in diameter, and the biogenesis process, structure, and content also differ from them, although they all consist of a lipid bilayer that acts as a container for several molecules (<xref ref-type="bibr" rid="B13">13</xref>). The biogenesis method depends on the type of bacteria, as their structural differences are crucial for understanding BEV formation. Gram-negative bacteria consist of a double layer of plasma membrane separated by the periplasmic space, a peptidoglycan polymer attached to the inner part of the outer membrane, and a lipopolysaccharide (LPS) anchored to the surface (<xref ref-type="bibr" rid="B14">14</xref>). These structural components enable the formation of outer membrane vesicles (OMVs) directly from their outer membrane, a process influenced by membrane stability and stress responses. In contrast, Gram-positive bacteria, with their thick peptidoglycan layer, rely on entirely different mechanisms, such as potential inner membrane rupture, for vesicle formation. Although there are discrepancies, three hypotheses appear to have been suggested that could explain OMV production; OMVs are produced when the lipid asymmetry of the outer membrane is compromised, when there is accumulation of misfolded proteins in the outer membrane, or when LPS modifications occur, and all seem to respond to a mechanism of outer membrane homeostasis maintenance (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B15">15</xref>). The first hypothesis defends that the stability of the bacterial envelope is maintained by organised interactions between the lipids of the outer membrane, peptidoglycan, and some associated proteins such as OmpA or Braun lipoprotein (<xref ref-type="bibr" rid="B16">16</xref>). When certain factors alter these stable interactions, vesicle formation may increase, as has been shown in some bacteria such as E. coli (<xref ref-type="bibr" rid="B17">17</xref>). The second hypothesis, on the contrary, argues that the inability to properly handle extracytoplasmic stress responses through pathways such as &#x3c3;E and Cpx (<xref ref-type="bibr" rid="B18">18</xref>), promotes vesicle release by allowing the accumulation of misfolded proteins (<xref ref-type="bibr" rid="B19">19</xref>). Finally, the last hypothesis explains that bacterial membrane stability depends on interactions between LPS molecules based on salt bridges formed by cations such as Mg&#xb2;<sup>+</sup> and Ca&#xb2;<sup>+</sup>. Thus, any factor affecting LPS-LPS interactions, thus structure or composition, could lead to increased vesicle release (<xref ref-type="bibr" rid="B20">20</xref>). On the other hand, gram-positive bacteria have only a thick, stiff outer peptidoglycan layer which was initially thought to impede the release of EV (<xref ref-type="bibr" rid="B21">21</xref>). The discovery of the existence of these vesicles is more recent, and they are called bacterial membrane vesicles (BMVs). The mechanism of production is not yet well defined, but it seems that BMVs could be formed by forcing the inner membrane to rupture under increased pressure inside the cell (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B22">22</xref>). In either case, the synthesis and release of these vesicles appears to be constitutive, although influenced by environmental stress factors or conditions, and although the molecular mechanisms of release of these vesicles to the exterior are not yet fully understood, it is known that they all nanoencapsulate molecules such as nucleic acids, proteins, lipids, and metabolites capable of exerting a function in the target cell during their formation (<xref ref-type="bibr" rid="B23">23</xref>). The main differences between vesicles derived from eukaryotic cells and vesicles derived from prokaryotic cells are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Schematic description of the general structure of BEVs and their biogenesis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1514726-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary of the main differences between vesicles derived from eukaryotic cells and vesicles derived from prokaryotic cells.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">
<italic>EVs</italic>
</th>
<th valign="middle" align="center">
<italic>BEVs</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="5" align="center">
<italic>SIMILARITIES</italic>
</td>
<td valign="middle" align="center">
<italic>Heterogeneity</italic>
</td>
<td valign="middle" colspan="2" align="center">Highly heterogeneous composition of the surface and the interior of the gallbladder</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Cargo</italic>
</td>
<td valign="middle" colspan="2" align="center">EVs can contain RNA, such as miRNA or mRNA, DNA, proteins and metabolites</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Spontaneity</italic>
</td>
<td valign="middle" colspan="2" align="center">Non-spontaneous biological process</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Release</italic>
</td>
<td valign="middle" align="center">Not homogeneously released through the membrane</td>
<td valign="middle" align="center">They are not released evenly through the membrane, there are hot spots</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Main function</italic>
</td>
<td valign="middle" colspan="2" align="center">Intercellular communication</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="center">
<italic>DIFFERENCES</italic>
</td>
<td valign="middle" align="center">
<italic>Size</italic>
</td>
<td valign="middle" align="center">Particles range from 500-2000 nm (apoptotic bodies), 100 and 1000 nm (MVs) and 30-100 nm (exosomes).</td>
<td valign="middle" align="center">Particles range from 10 to 400 nm</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Cell of origin</italic>
</td>
<td valign="middle" align="center">Exosomes and MVs can be released from healthy or damaged cells. Apoptotic bodies are released from dying cells</td>
<td valign="middle" align="center">BEVs are released by both gram-negative and gram-positive bacteria</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Formation</italic>
</td>
<td valign="middle" align="center">Apoptotic bodies and MVs originate from the plasma membrane, and exosomes via the endocytic pathway</td>
<td valign="middle" align="center">Gram-negative and Gram-positive bacteria have a different mechanism of formation due to their different membrane structures</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Markers</italic>
</td>
<td valign="middle" align="center">There are universal markers such as CD40 for MVs or flotillin for exosomes</td>
<td valign="middle" align="center">There are no universal markers due to the high diversity of markers</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Vesicles production</italic>
</td>
<td valign="middle" align="center">Level of production depends on the origin cell and the physiology state</td>
<td valign="middle" align="center">Production increases as a response to environmental stress</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Composition of BEVs</title>
<p>The effects of BEVs upon release will depend on their cargo, and the composition of the cargo is influenced by the conditions of the producing cells, by environmental or growth conditions, and by external factors. It has been shown that, like eukaryotic EVs, BEVs are rich in proteins. Although their content depends on the taxonomic group of the progenitor bacteria or their specific characteristics, proteomic analyses have already associated them with more than 3000 proteins. These include structural proteins, porins, ion channels or transporters, enzymes, and proteins related to the response to the environment. For example, gram-negative bacteria contain a high concentration of membrane proteins such as OmpA, OmpC, and OmpF, and periplasmic proteins such as AcrA and alkaline phosphatase (<xref ref-type="bibr" rid="B26">26</xref>). Proteins involved in the biogenesis or phenotype of the OMVs they release have also been identified, such as rfaE and waaC, involved in LPS synthesis, or mrcB, involved in peptidoglycan synthesis and remodeling (<xref ref-type="bibr" rid="B27">27</xref>). These proteins are critical because they regulate the structural integrity and functionality of the vesicles, influencing their ability to interact with host cells and contribute to bacterial survival and pathogenicity. Other recent analyses have also confirmed the presence of proteins involved in colonization, competition, bacterial survival, and regulation of immune processes that take place in the intestinal lumen. Although the protein content of gram-positive BEVs has been less studied, membrane and cytoplasmic proteins involved in numerous biological processes have also been identified. Furthermore, as with BEVs released by gram-negative, the protein content is also influenced by the pathogenicity of the strain. Pathogenic strains often produce BEVs enriched with virulence factors and toxins, which can modulate the host immune system, disrupt cellular processes, and contribute to disease development by facilitating bacterial invasion or evading immune defenses (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Lipids also play an essential role, as they are the most important structural component, and are derived from the cytoplasmic membrane and endomembrane. Lipid composition appears to be conserved, including LPS, phosphatidylethanolamine, phosphatidylglycerol, and cardiolipin (<xref ref-type="bibr" rid="B30">30</xref>). However, some lipids may be selectively enriched in BEVs, such as phosphatidylglycerol and stearic acid, which are involved in membrane fluidity and rigidity (<xref ref-type="bibr" rid="B31">31</xref>). Therefore, lipid species and their distribution seem to depend on the bacterial species, but many of them seem to be related to the adaptation and survival of bacteria in their usual niches (<xref ref-type="bibr" rid="B12">12</xref>). For example, phosphatidylglycerol contributes to membrane stability in harsh conditions, while cardiolipin plays a role in energy metabolism and membrane curvature during cell division, aiding bacterial survival.</p>
<p>BEVs also allow transport of nucleic acids to their specific intracellular receptors in the host cell. The presence of both chromosomal and plasmid DNA has been confirmed, which may be involved in immunoregulation, biofilm formation, adhesion, and pathogenicity (<xref ref-type="bibr" rid="B32">32</xref>). Numerous studies have formed that BEVs contain DNA in the lumen and on the surface that they transport to other bacteria by horizontal transfer and that corresponds to genes involved in antibiotic resistance, stress, and virulence (<xref ref-type="bibr" rid="B33">33</xref>). Recent evidence has shown that BEV-associated mRNAs can be translated to produce microbial proteins in target cells. As in eukaryotic EVs, the content of greatest interest involves miRNAs, which participate in the regulation of post-transcriptional gene expression, inducing changes in the phenotype and immune response of the target cell (<xref ref-type="bibr" rid="B34">34</xref>). In addition, these small molecules appear to have the capacity to regulate gene expression in regions involved in epigenetic control mechanisms (<xref ref-type="bibr" rid="B35">35</xref>). Although more and more are known about the cargo carried by BEVs, it is essential to characterize these vesicles taking into account the bacterial species of origin and the microenvironmental conditions that may alter the content to provoke one response or another in the host cell (<xref ref-type="bibr" rid="B36">36</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>BEV interaction with host-cell</title>
<p>Once BEVs are released outside the cell, they can exert their effect on the target cell by two main mechanisms: direct interaction with the membrane, or by delivery of the bioactive cargo from the membrane (<xref ref-type="bibr" rid="B37">37</xref>). Direct interaction with the membrane involves binding of BEV surface molecules to specific receptors on the target cell, leading to signal transduction and activation of downstream pathways. In contrast, delivery of bioactive cargo allows internalization of vesicular contents, such as proteins, nucleic acids, or lipids, which can directly alter cellular processes within the target cell. Direct membrane interaction takes place because the membrane of BEVs contains the same molecules as the plasma membrane of the cell of origin; LPS in the case of gram-negative bacteria and lipoteichoic acid in the case of gram-positive bacteria, capable of activating TLR4 and TLR2 receptors, respectively (<xref ref-type="bibr" rid="B12">12</xref>). Although these are the molecules commonly involved in binding, it is known that BEVs can also interact with nucleotide-binding oligomerization domain proteins in the target cell, among others (<xref ref-type="bibr" rid="B38">38</xref>). The capacity with which the vesicles interact with these receptors varies depending on the species of origin. This difference influences not only the binding affinity but also the mechanism of endocytosis or uptake of the vesicles by eukaryotic cells. In addition to acting on specific receptors, BEVs can also internalize their bioactive cargo into eukaryotic, leading to various physiological alterations. For instance, their miRNA content can activate or modulate transcription, influencing gene expression. Additionally, BEVs contain proteases and phosphatases capable of triggering the activation or degradation of host proteins. Furthermore, metabolic enzymes within BEVs can modulate DNA synthesis, thereby affecting cellular replication and repair processes (<xref ref-type="bibr" rid="B12">12</xref>). However, although the BEV-eukaryotic cell interaction seems to be the most important in the human physiological balance, intrabacterial interaction through BEVs is also essential. These interactions help maintain integrity by facilitating communication between bacterial species, ensuring proper distribution of resources, and regulating growth dynamics to prevent overgrowth or dominance of certain species. This balance is critical for sustaining the diversity and functionality of the microbial community that constitutes the gut ecosystem, as will be discussed below (<xref ref-type="bibr" rid="B39">39</xref>).</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Impact of BEVs on human physiology</title>
<p>Knowing the types of interaction, we can classify the functions of BEVs into two groups: those related to bacteria-bacteria interaction and those related to bacteria-host communication.</p>
<sec id="s3_1">
<label>3.1</label>
<title>Bacteria - bacteria interactions</title>
<p>The main objective of the release of BEVs by commensal bacteria is population maintenance through ecological niche persistence. For example, BEVs have the ability to sequester phages to avoid direct interaction with bacteria (<xref ref-type="bibr" rid="B39">39</xref>), thereby protecting bacterial populations from viral attacks. They can also act as decoys for harmful substances or antibiotics travelling towards the membrane (<xref ref-type="bibr" rid="B12">12</xref>), reducing the direct impact of these agents on bacterial cells. Additionally, by directly transporting enzymes or transferring genes involved in antibiotic resistance (<xref ref-type="bibr" rid="B40">40</xref>), BEVs contribute to the spread of resistance traits, enhancing the adaptability and resilience of bacterial communities, which is crucial for maintaining the stability of the ecosystem. In the same way, these vesicles are rich in Quorum Sensing (<xref ref-type="bibr" rid="B41">41</xref>), molecules that coordinate bacterial growth and behavior according to population density and promote biofilm formation (<xref ref-type="bibr" rid="B42">42</xref>). BEVs can also promote the proliferation of bacterial kingdoms and colonization of the intestinal niche by being loaded with adhesion factors or confer metabolic advantages by being loaded with molecules that facilitate the bacterial nutrient acquisition process, such as hydrolases that degrade complex proteins and polysaccharides or amino acid or fatty acid transport systems (<xref ref-type="bibr" rid="B43">43</xref>). <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> summarizes some of the findings that support the importance of microbe-microbe.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>BEVs in cross-communication between intestinal bacteria.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Origin</th>
<th valign="middle" align="center">Function</th>
<th valign="middle" align="center">Cargo</th>
<th valign="middle" align="center">Evidence</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="4" align="center">
<italic>Pseudomonas areuginosa</italic>
</td>
<td valign="middle" align="center">Coordination of bacterial interaction activities, iron acquisition,</td>
<td valign="middle" align="center">2-heptyl-3-hydroxy-4-quinolone</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B44">44</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Antibiotic resistance</td>
<td valign="middle" align="center">&#x3b2;-lactamases, membrane-bound proteases</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B45">45</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Lysis of other microbes</td>
<td valign="middle" align="center">Proteases, hydrolases, bacteriocins</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B46">46</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Formation of biofilms</td>
<td valign="middle" align="center">DNA and PQS</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B47">47</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">
<italic>Escherichia coli</italic>
</td>
<td valign="middle" align="center">Protection of commensal bacteria from harmful substances</td>
<td valign="middle" align="center">LPS and other unknown factors</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B48">48</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Antibiotic resistance</td>
<td valign="middle" align="center">&#x3b2;-lactamases, membrane-bound proteases</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B49">49</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Horizontal transfer of virulence genes</td>
<td valign="middle" align="center">DNA for intimin and Shiga toxin encoding genes</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B50">50</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Horizontal transfer of antimicrobial resistance genes</td>
<td valign="middle" align="center">DNA for &#x3b2;-lactamase genes</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B50">50</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Bacteroides Fragilis</italic>
</td>
<td valign="middle" align="center">Lipopolysaccharide degradation</td>
<td valign="middle" align="center">Acid lipoproteins</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>Vibrio cholerae</italic>
</td>
<td valign="middle" align="center">Protection of commensal bacteria from harmful substances</td>
<td valign="middle" align="center">PrtV protease</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Inhibition of innate immune response</td>
<td valign="middle" align="center">Unknown</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B53">53</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>Bacteroidetes thetaiotaomicron</italic>
</td>
<td valign="middle" align="center">Protection of commensal bacteria from antibiotics</td>
<td valign="middle" align="center">&#x3b2;-lactamase</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Degradation of polysaccharides</td>
<td valign="middle" align="center">Lipoproteins</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Bifidobacteria longum</italic>
</td>
<td valign="middle" align="center">Promotion of Bifidobacteria colonisation</td>
<td valign="middle" align="center">Mucin-binding proteins</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B54">54</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>Helicobacter pylori</italic>
</td>
<td valign="middle" align="center">Protection against oxidative damage</td>
<td valign="middle" align="center">KatA</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B55">55</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Biofilm formation</td>
<td valign="middle" align="center">DNA and others</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B56">56</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Bacteria &#x2013; host interactions</title>
<p>On the other hand, BEVs can interact with intestinal eukaryotic cells. Although the most studied actions have been on the epithelial cells lining the intestinal barrier, some studies have shown that these vesicles cross the mucosal barrier to modulate the direct action of cells of the innate and adaptive immune system. Although the regulatory effects of BEVs depend on the bacteria of origin, host physiology and the cargo they contain, they are known to play a crucial role in the maintenance of intestinal immune homeostasis. The usual mechanism of action is to trigger an immune response in the host cell due to the fact that they contain molecular patterns (PRRs), such as proteins, DNA, or RNA, capable of interacting with pattern recognition receptors such as NOD1 and NOD2 and TLRs, initiating signaling cascades that regulate immune responses (<xref ref-type="bibr" rid="B57">57</xref>). These interactions will result in the triggering of signaling pathways, synthesis of pro-inflammatory or anti-inflammatory cytokines, polarization of macrophages to anti-inflammatory phenotypes, differentiation of B cells into plasma cells, promotion of the regulatory immune response, etc (<xref ref-type="bibr" rid="B58">58</xref>). Some examples of BEV action can be found in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. In this sense, when BEVs are released by commensal bacteria, the main objective is to modulate and balance innate and adaptive immunity to promote host defense against pathogenic bacteria and maintain intestinal microenvironmental stability by regulating metabolic and energetic processes. However, the effects of BEVs can be turned against us when they are released by pathogenic bacteria or when dysbiosis allows uncontrolled passage into systemic circulation, which is why BEVs are being studied as key players in the development and progression of numerous pathologies.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>BEVs in communication cross-talk between gut bacteria and host cells.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Origin</th>
<th valign="middle" align="center">Function</th>
<th valign="middle" align="center">Mechanism</th>
<th valign="middle" align="center">Evidence</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>Bacteroidetes fragilis</italic>
</td>
<td valign="middle" align="center">Immunomodulation</td>
<td valign="middle" align="center">Induction of Treg and IL-2 production through TLR2</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B59">59</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Complex carbohydrate metabolism</td>
<td valign="middle" align="center">Packaging and surface exposure of lipoproteins</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B43">43</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">
<italic>Akkermansia muciniphila</italic>
</td>
<td valign="middle" align="center">Attenuating the progression of induced colitis</td>
<td valign="middle" align="center">Decreased IL-6 production</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B60">60</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Improving the integrity of the intestinal barrier</td>
<td valign="middle" align="center">Increased binding proteins (occludin, ZO-1 and claudin-5)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Increasing levels of 5-HT in the intestinal lumen</td>
<td valign="middle" align="center">Modulation of genes involved in serotonin synthesis</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B62">62</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Improving obesity and associated complications</td>
<td valign="middle" align="center">Reprogramming of pro-inflammatory cytokines and modulation of genes involved in energy metabolism (PPAR-&#x3b1; and PPAR-&#x3b3;).</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">
<italic>Escherichia coli</italic>
</td>
<td valign="middle" align="center">Improvement of intestinal barrier integrity</td>
<td valign="middle" align="center">Increased expression of ZO-1 and claudin-14</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Immunoregulation</td>
<td valign="middle" align="center">Activation of NF-kB and secretion of proinflammatory cytokines IL-6 and IL-8</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B65">65</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Attenuation of induced colitis progression</td>
<td valign="middle" align="center">Positive up-regulation of IL-10; down-regulation of IL-1&#x3b2;, TNF-&#x3b1;, IL-6, IL-12, IL-17, iNOS and COX-2 in colonic tissue</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B66">66</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Pseudomonas panacis</italic>
</td>
<td valign="middle" align="center">Blockade of insulin uptake by myotubes and induction of diabetic phenotype</td>
<td valign="middle" align="center">Downregulation of the insulin signaling molecule pAKT and GLUT4 translocation</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B67">67</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>Pseudomonas Aeruginosa</italic>
</td>
<td valign="middle" align="center">Activation of apoptosis and inflammation</td>
<td valign="middle" align="center">Induction of macrophage dysfunction and inhibition of protein synthesis</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B68">68</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>Pediococcus pentosaceus</italic>
</td>
<td valign="middle" align="center">Disturbance of skin healing processes</td>
<td valign="middle" align="center">Inflammatory suppressor cell recruitment and differentiation</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B69">69</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Inhibition of inflammation</td>
<td valign="middle" align="center">Induction of macrophage polarization to M2</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B69">69</xref>)</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>Bacteroidetes thetaiotaomicron</italic>
</td>
<td valign="middle" align="center">Development of colitis</td>
<td valign="middle" align="center">Induction of the production of inflammatory cytokines by intestinal macrophages</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B70">70</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Regulation of energy metabolism</td>
<td valign="middle" align="center">Induction of cholesterol uptake by up-regulation of NPC1L1</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B71">71</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>BEVs, from friend to foe</title>
<p>Disruption of proper communication between species in the gut microbial niche can be the cause or consequence of numerous pathologies. Given that the intestinal barrier acts by forming a physical and biochemical defense that prevents the translocation of microbes, toxins, and antigens from the gut into other organs and tissues, most research has focused on understanding disorders and diseases of intestinal origin, such as inflammatory bowel disease (IBD), colitis, Crohn&#x2019;s disease, and colorectal cancer (<xref ref-type="bibr" rid="B72">72</xref>). As mentioned above, BEVs are known to play a key role in the maintenance of intestinal integrity. However, they are also recognized as inflammatory factors in the context of the dysbiotic microenvironments that characterize intestinal pathologies. For example, in the context of the characteristic microbial alterations that define IBD, an increase in gram-negative bacteria is often observed. This microbial imbalance leads to an abundance of LPS-rich BEVs has been observed that can penetrate epithelial cells, triggering inflammatory responses and altering the expression of genes involved in barrier maintenance (<xref ref-type="bibr" rid="B73">73</xref>). In addition, BEVs derived from a dysfunctional microbiota may promote IBD progression by increasing the release of EVs from the intestinal mucosa with high concentrations of inflammatory agents such as CCL20 and prostaglandins E2 (<xref ref-type="bibr" rid="B74">74</xref>). Recently, BEVs from bacteria such as <italic>Bacteroides fragilis</italic> have also been shown to contain toxins capable of breaking down E-cadherin and triggering the release of IL-8. This would mainly affect patients with colorectal cancer, as they generally have an increase of bacteroidetes in their microbiota that promote chronic inflammation and disruption of the intestinal barrier (<xref ref-type="bibr" rid="B74">74</xref>). However, we now know that the capacity of these vesicles goes far beyond this, and they are now linked to numerous systemic diseases. In this section we will discuss the current knowledge on BEVs in metabolic disease and neurological disease.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Metabolic syndrome</title>
<p>Metabolic syndrome (MetS) and its associated complications, such as obesity, currently affect 25% of the world&#x2019;s population and are the first step in the development of cardiovascular disease (<xref ref-type="bibr" rid="B75">75</xref>). Research and advances in this field have grown enormously in recent years, particularly in understanding the microbiota&#x2019;s role in metabolic dysregulation. These advances include identifying how microbial diversity impacts energy balance, immune regulation, and the systemic effects of microbiota-derived metabolites and vesicles. The findings of the close relationship between these disorders and the disruption of the gut microbiota balance have prompted the development of numerous metagenomic studies in recent years (<xref ref-type="bibr" rid="B76">76</xref>). The main notable change affects the two most abundant phyla of the microbiota: Bacteroidetes (gram-negative) and Firmicutes (gram-positive). Under normal conditions, the correct proportions of these two phyla maintain intestinal health by properly regulating energy metabolism and maintaining the balance of the immune system. However, in people with these metabolic disorders, a decrease in the abundance of Bacteroidetes and an increase in the abundance of Firmicutes has been observed, which is directly associated with metabolic endotoxemia (<xref ref-type="bibr" rid="B77">77</xref>). Metabolic endotoxemia is the consequence of increased permeability caused by dysregulation of microbiota, and is characterized by a passage of PAMPs, metabolites, and BEVs into the systemic circulation, mainly leading to the chronic low-grade immune activation observed in obese subjects (<xref ref-type="bibr" rid="B78">78</xref>). For example, translocation of PAMPs contained in BEVs such as LPS interact with TLR4, triggering signaling pathways aimed at NF-&#x43a;B activation, and the production of cytokines and chemokines. This process promotes macrophage polarization towards an inflammatory phenotype, which subsequently alters the normal functioning of organs such as liver, skeletal muscle, and adipose tissue (<xref ref-type="bibr" rid="B79">79</xref>). Indeed, BEVs produced by <italic>Pseudomonas aeruginosa</italic>, whose concentration in LPS and other protein components are able to stimulate the production of TNF&#x3b1;, IL-6, IL-1&#x3b2;, and stimulate macrophage polarization (<xref ref-type="bibr" rid="B80">80</xref>). One of the most studied examples in relation to metabolic disorders is that of BEVs derived from <italic>Akkermansia muciniphila</italic>. BEVs derived from this species have recently been shown to have beneficial effects on the integrity of the intestinal barrier, as treatment of CACO-2 with these vesicles has been shown to decrease its permeability by stimulating occludin synthesis and treatment of colonic epithelial cells decreases IL-6 production (<xref ref-type="bibr" rid="B60">60</xref>). Metagenomic data have demonstrated the inverse correlation between <italic>A. muciniphila</italic> and disorders such as obesity and diabetes, so many therapeutic approaches aimed at restoring their correct proportions are being proposed. For example, Chelakkot et&#xa0;al. demonstrated that oral administration of <italic>A. muciniphila</italic>-derived BEVs improved intestinal barrier integrity, reduced body weight, and improved glucose tolerance in mice fed with High-Fat Diet (HFD), resulting in improved metabolic functions (<xref ref-type="bibr" rid="B61">61</xref>). On the other hand, Choi et&#xa0;al. revealed that <italic>Pseudomonas Panacis</italic>-derived BEVs containing LPS were more abundant in HFD-fed mice (<xref ref-type="bibr" rid="B67">67</xref>). They also observed that under this diet, more drastic changes were observed in the BEV profile than in the microbial community composition, and this was associated with altered glucose metabolism by promoting impaired insulin signaling in skeletal muscle and adipose tissue. Taken together, these and other studies highlight the role of BEVs as key contributors to low-grade systemic inflammation in subjects with MetS. BEVs drive this inflammation through mechanisms such as triggering TLR-mediated cytokine production, altering immune cell polarization, and disrupting metabolic pathways in organs like the liver and adipose tissue. These processes underscore their central role in the progression of complications like diabetes and obesity. Therefore, focusing on characterizing the profile of these vesicles will allow us to direct attention to the design of treatments aimed at restoring the balance of this ecosystem, as the plasticity of the microbiota to modulable factors such as diet or exercise may open up a field of interest for the design of nutritional interventions aimed at improving or fully restoring the microbial composition and the functionality and content of these BEVs.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Neurological diseases</title>
<p>The relationship between the microbiota-gut-brain axis and its relation to neurological diseases and behavioral disorders has been increasingly studied over the last decade, with a focus on its roles in regulating neurotransmitter production, immune modulation, and endocrine signaling. The term refers to the set of interactions established between the gut microbiota and the central nervous system (CNS) through immunological mechanisms and endocrine signaling, and although hundreds of studies now support the existence and importance of this axis, the mechanisms of signal transfer have yet to be fully elucidated (<xref ref-type="bibr" rid="B81">81</xref>). One of the pathways of communication between the two organs is through BEVs, and there is some evidence to confirm that this may occur via four possible mechanisms (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). The first mechanism involves the stimulation of the vagus nerve (<xref ref-type="bibr" rid="B86">86</xref>), which facilitates communication between the enteric nervous system and the gut microbial community. The second is the endocrine response, wherein bacteria to influence the production of hormones and other chemical signals that travel through the circulation (<xref ref-type="bibr" rid="B82">82</xref>). The third mechanism is the inflammatory response triggered at the systemic level (<xref ref-type="bibr" rid="B84">84</xref>). Finally, the fourth involves the direct delivery of cargo from these vesicles to the CNS after travelling through the systemic circulation (<xref ref-type="bibr" rid="B83">83</xref>). Taken together, the role of BEVs as direct cargo transporters to the brain seems to be the most studied. BEVs have been shown to have the ability to cross the blood-brain barrier and can harbor numerous psychoactive molecules and a wide diversity of neurotransmitters, such as dopamine, noradrenaline, serotonin, and enzymes involved in their synthesis (<xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B87">87</xref>). For example, Zakharzhevskaya et&#xa0;al. showed that strains of <italic>Bacteroides fragilis</italic> produced BEVs rich in histamine and GABA. Histamine, in addition to having local functions in regulating gut and immune function, is capable of influencing brain functions related to sleep, learning and anxiety, among others (<xref ref-type="bibr" rid="B88">88</xref>). GABA, on the other hand, is the main inhibitory neurotransmitter, and its altered levels have been linked to depressive disorders, so some groups point to the use of these vesicles as a therapeutic target in neurological disorders (<xref ref-type="bibr" rid="B89">89</xref>). But neurotransmitters are not the only cargo of BEVs, as they are rich in RNA molecules and proteins that may exert key functions. RNAs play an essential role in acting as regulators from host target genes and as potential epigenetic modulators, which are directly related to synaptic plasticity (<xref ref-type="bibr" rid="B35">35</xref>). Following this line, Emery et&#xa0;al. assessed that in postmortem brains of Alzheimer&#x2019;s subjects, vesicles contained a higher amount of actinobacteria and firmicutes-derived RNA than healthy controls, as well as a depletion of RNA from proteobacteria and <italic>Bacteroidetes</italic> (<xref ref-type="bibr" rid="B83">83</xref>). <italic>Aggregatibacter actinomycetemcomitans</italic>-derived BEVs also contain RNAs that appear to act in the pathogenesis of Alzheimer&#x2019;s disease by stimulating Toll 8 and NF-&#x43a;B signaling pathways (<xref ref-type="bibr" rid="B90">90</xref>). On the other hand, Zhan et&#xa0;al. also observed that <italic>E. coli</italic> K99-derived LPS appeared in the grey matter of Alzheimer&#x2019;s subjects compared to healthy controls. As for BEV signaling through the enteric nervous system, evidence is limited (<xref ref-type="bibr" rid="B91">91</xref>). A recent study suggested that BEVs derived from the intestinal bacterium <italic>Paenalcaligenes hominis</italic> might stimulate cognitive impairment via the vagus nerve, causing cognitive deficits and activation of microglia in the hippocampus (<xref ref-type="bibr" rid="B86">86</xref>). Khalid Al-Nedawi et&#xa0;al. found that BEVs derived from <italic>L. rhamnosus</italic> increased the excitability of neurons in the myenteric plexus to send signals through the vagus nerve and alter brain activity and behavior (<xref ref-type="bibr" rid="B84">84</xref>). On the other hand, the existence of endocrine signaling is demonstrated by studies such as that of Choi et&#xa0;al., who identified that BEVs from <italic>Lactobacillus plantarum</italic> positively regulated brain-derived neurotrophic factor transcription in hippocampal cells and improved stress-induced behaviors in restrained mice (<xref ref-type="bibr" rid="B92">92</xref>). Likewise, Yaghoubfar et&#xa0;al. found that BEVs derived from <italic>A. muciniphila</italic> increased serotonin levels in the colon and hippocampus of mice, thus affecting endocrine serotonin signaling through the gut-brain axis, which may contribute to the pathogenesis of various disorders (<xref ref-type="bibr" rid="B82">82</xref>). Commensal bacteria such as <italic>A.</italic> muciniphila or <italic>Bacteroides Fragilis</italic> have the ability to release BEVs rich in molecules to modulate the inflammatory response at the systemic level, inducing the activation of anti-inflammatory cytokines and inhibiting the production of pro-inflammatory cytokines under physiological conditions. Conversely, certain pathogenic bacteria have the capacity to release LPS-rich BEVs and other PRRs capable of activating the immune system at the systemic level. Immune activation has been linked on numerous occasions to learning, anxiety and memory disorders (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B93">93</xref>). This suggests that BEV interactions with the immune system contribute to the ability of gut bacteria to modify host brain function and behavior.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Summary of the main signaling mechanisms of BEVs across the gut-brain-axis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Signaling mechanism</th>
<th valign="top" align="center">Description</th>
<th valign="top" align="center">Evidence</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Vagus nerve stimulation</td>
<td valign="middle" align="center">BEVs and metabolites produced by intestinal bacteria can cause changes in the activity of the enteric nervous system, which stimulate the vagus nerve modulating the signals reaching the brain and consequently, its activities and functions.</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B82">82</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Modulation of immune signals</td>
<td valign="middle" align="center">BEVs and other metabolites can cause systemic immune activation, leading to the synthesis of molecules such as cytokines capable of crossing the blood-brain barrier to affect neuronal function and neuroinflammation.</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B83">83</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Modulation of endocrine signals</td>
<td valign="middle" align="center">BEVs and bacterial metabolites influence the production of hormones and other chemical signals that are able to travel through the bloodstream to the brain and modulate CNS activity.</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B84">84</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Cargo transport</td>
<td valign="middle" align="center">BEVs released by the microbiota act as transporters of molecules able to travel through the systemic circulation to interact directly with the CNS.</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Taken together, this supports the hypothesis that BEVs are signaling molecules capable of controlling brain activities and normal neurological functioning, being a key component in the development and progression of neurological and behavioral diseases. Further omics studies are required to elucidate the provenance of BEVs found at the systemic level and the bioactive cargo capable of altering physiological molecular mechanisms. Techniques such as transcriptomics can provide insights into RNA profiles associated with BEVs, while proteomics can identify functional proteins involved in signaling pathways. Metabolomics may also uncover bioactive metabolites carried by BEVs, shedding light on their systemic effects. In addition, a better understanding of the biological mechanisms controlling the synthesis and packaging of molecules in these vesicles opens the possibility of exploiting BEVs as drug delivery platforms for specific targets.</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Diet, the perfect ally to tame our gut microbiota</title>
<p>If there is one advantage to disrupting the normality of the gut microbiota, it is that it is easily modulated through environmental factors such as diet, exercise, and pre/pro/postbiotics. In recent years, compelling evidence has been found to demonstrate the essential role of the food we eat in the composition, functionality, diversity and abundance of species in the microbiota. For instance, studies have shown that high-fiber diets promote the growth of beneficial bacteria like Bifidobacterium and Lactobacillus, while Western diets rich in saturated fats and refined sugars lead to a decline in microbial diversity and an increase in pro-inflammatory species such as Enterobacteriaceae (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). For example, among all the detriments of Western diets, a notable alteration of the intestinal microbiota has been found with a reduction of beneficial and protective species and an increase in their pro-inflammatory functions (<xref ref-type="bibr" rid="B94">94</xref>). In contrast, vegetarian diets have the ability to increase the abundance of beneficial bacteria such as <italic>Bacteroides</italic>, <italic>Prevotella</italic>, and <italic>Clostridium</italic>, among others, reducing harmful bacteria with a pro-inflammatory role such as <italic>Enterobacteriaceae</italic> (<xref ref-type="bibr" rid="B78">78</xref>). On the other hand, the Mediterranean diet, recognized as one of the healthiest diets in the world, has also demonstrated its beneficial effects by increasing the abundance of beneficial fiber and carbohydrate-degrading bacteria linked to the metabolism of short-chain fatty acids such as butyrate (<xref ref-type="bibr" rid="B95">95</xref>). In addition, the identification of molecular content and beneficial properties of vesicles derived directly from food is also a pioneering field of study in the development of new functional food strategies (<xref ref-type="bibr" rid="B96">96</xref>). These evidence led us to believe not only that the profile of BEVs derived from the gut microbiota may be altered or modulated by dietary patterns, but also that these BEVs will have a physiological impact on the host depending on the effect or stimulation caused by these same foods. In this section, we will summarize current findings on the influence of different macronutrients on the content and functionality of BEVs.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Graphical representation of the consequences of a disruption of the gut microbiota.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1514726-g002.tif"/>
</fig>
<sec id="s5_1">
<label>5.1</label>
<title>Proteins</title>
<p>Dietary protein intake can modulate BEV production through succinate production. Specifically, Tan et&#xa0;al. demonstrated that a high-protein diet enhanced BEV production under succinate stress by activating the TLR4 signaling pathway and consequently increasing IgA-producing mechanisms, an antibody essential for intestinal balance by preventing the distribution of pathogens and affecting their viability (<xref ref-type="bibr" rid="B97">97</xref>). These results were supported by Luck et&#xa0;al, who observed that a HFD decreased IgA production, altered glucose homeostasis, gut and adipose tissue inflammation, and altered intestinal permeability and pathogen invasion (<xref ref-type="bibr" rid="B98">98</xref>). These findings have led to the proposal that the increase in succinate seen in high-protein diets may be beneficial in attenuating metabolic disorders. Isolated amino acids also seem to have their own effect on BEVs. This is the case of glycine, which is able to increase the release of BEVs by <italic>E coli</italic>, with a larger size and an altered protein profile towards an increase in cytoplasmic and inner membrane proteins (<xref ref-type="bibr" rid="B99">99</xref>). However, the effects of glycine go further and affect other bacterial species. For example, van de Waterbeemd et&#xa0;al. demonstrated that cysteine deprivation caused growth depletion and release of BEVs by <italic>Neisseria meningitidis</italic>, altering the assembly of iron and sulphur proteins and increasing oxidative stress (<xref ref-type="bibr" rid="B100">100</xref>). The same occurred with <italic>Francisella tularensis</italic>, a pathogenic bacterium able to regulate its vesiculation upon glycine deprivation (<xref ref-type="bibr" rid="B101">101</xref>). Although much remains to be clarified, the possibility has been raised that even some isomers present in certain amino acids may have an important role in vesiculation through the regulation of peptidoglycan synthesis and structure, so determining the effect of amino acids on the release and functionality of BEVs is essential to better understand the influence and contribution of high-protein diets on the health of the gut microbiota (<xref ref-type="bibr" rid="B102">102</xref>).</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Carbohydrates</title>
<p>Although complex carbohydrates are the main source of energy for microbiota bacteria, few studies have examined the specific effect of these macronutrients on the production and phenotype of BEVs. This gap may be attributed to the complexity of carbohydrate structures and the diverse metabolic pathways involved in their utilization by microbiota. Understanding these effects could provide valuable insights into how dietary fibers and polysaccharides modulate BEV production, influencing gut health and systemic metabolic balance. Lago et&#xa0;al. evaluated the effects of &#x3b2;-mannan administration on BEVs produced by <italic>Clostridiales, Bacilli</italic>, and <italic>Enterobacteriaceae</italic>, and found that not only was BEV production by the microbiota stimulated, but also their protein composition was modified, although the consequences on host health remain to be elucidated (<xref ref-type="bibr" rid="B103">103</xref>). Another recent hypothesis is that the BEV content of polysaccharide-degrading enzymes such as glycosidase is increased by fiber-rich diets. This effect could be beneficial for the maintenance of intestinal metabolic balance by transferring these enzymes to bacteria lacking them through cross-feeding systems (<xref ref-type="bibr" rid="B43">43</xref>).</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Lipids</title>
<p>The influence of HFD on the composition and release of BEVs has been demonstrated by Choi et&#xa0;al. (<xref ref-type="bibr" rid="B67">67</xref>). These researchers found that lipid administration in mice altered the number, size, and content of vesicles, specifically by decreasing their size and increasing their LPS content. As discussed in previous sections, increased LPS content in BEVs may be a trigger for metabolic disorders such as obesity and diabetes by increasing systemic endotoxemia and altering energy homeostasis and immune balance. But it is not only the HFD that has an effect on BEVs; as with proteins, but individual fatty acids can also alter the vesicles released. Bacteria have the ability to modulate their membrane composition under cellular stress conditions, and considering that BEVs originate from the plasma membrane, their release and composition also depend on these external stimuli. For example, Tafti et&#xa0;al. observed that <italic>Bacteroides fragilis</italic> increased BEV production upon the addition of saturated fatty acids, while <italic>Bacteroides thetaiotomicron</italic> had the same effect when unsaturated fatty acids were added (<xref ref-type="bibr" rid="B104">104</xref>). Therefore, the plasticity and differential response of individual bacteria to each type of fatty acid makes it difficult to assess the influence of fatty acids on BEVs and their implications for the host. It seems that the most affected component of BEVs upon fat ingestion is also their lipids. Lipidomic studies are particularly important because they can reveal how different types of fatty acids influence the lipid composition of BEVs, shedding light on their role in cellular communication and systemic effects. These studies could also help identify specific lipid biomarkers associated with metabolic disorders, providing a deeper understanding of the mechanisms by which dietary fats impact gut health and overall metabolism. Therefore, although this shift in research is very pioneering, the few existing studies have already demonstrated the ability of diet to influence BEVs, probably through much more rapid mechanisms than those involving complete modulation of microbial abundances and composition. In this context, precision nutrition emerges as a powerful tool to design personalised dietary interventions. While initially precision nutrition was based on the integration of phenotypic characteristics, medical history and environmental factors of the individual, increasing omics analyses have allowed the addition of other factors such as genetic variants, epigenetic marks and microbiota profiles, among others (<xref ref-type="bibr" rid="B105">105</xref>). Therefore, the analysis of the molecular content of BEVs released by the microbiota will be fundamental to understand the variation in the profile of these vesicles in response to specific macronutrients and dietary patterns, allowing nutritional interventions to be designed for each patient to prevent local and systemic pathologies and to promote gut microbial community homeostasis and overall health.</p>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Gaps and future remarks</title>
<p>Although decades have passed since the discovery of BEVs, it is only now that they have awakened interest in research due to breakthroughs in omics technologies that have enabled detailed characterization of their cargo, including proteins, lipids, and nucleic acids. Recent findings have also linked BEVs to critical roles in immune modulation, inter-bacterial communication, and the progression of metabolic disorders, highlighting their significance in both health and disease. Advances in omics techniques have probably made it possible to analyze the content and composition of these vesicles and to study their plasticity in response to different environmental factors. However, we are still far from mastering them. There are still no universal and standardized isolation techniques that allow the isolation of BEVs with the highest possible efficiency and integrity for their subsequent analysis and applications. Furthermore, much remains to be understood about their mechanism of biogenesis and release and the factors that regulate these processes. Understanding the stimuli that trigger increases in vesicle release is fundamental to understanding the behavior of bacteria in the microbiota. However, this knowledge is hampered by the high diversity, not only among the bacteria that make up the microbiota themselves, but also the differences between inter-individual microbial communities. Nevertheless, this review has collected different studies that have already demonstrated the potential and impact of these vesicles as a therapeutic strategy. On the other hand, we should not forget that the analysis of the molecular cargo of these vesicles by bioinformatics analysis is crucial to better understand the impact on host health. The continued development of novel bioinformatics techniques will be crucial in the coming years to characterize BEVs released by different microbial phyla using multi-omics approaches. In addition, another essential focus of future research should be to discover the effect of food-derived vesicles on the composition and functionality of the microbial community. Despite all the current limitations, BEVs offer immense therapeutic potential for the attenuation of many diseases. However, further research is needed to determine the impact of dietary patterns on BEVs and their involvement in obesity. This knowledge will enable the design of nutritional strategies aimed at maintaining gut microbial balance and, consequently, systemic physiological homeostasis. These efforts could generate a new impetus for advancing precision nutrition and improving health outcomes.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>EM-P: Conceptualization, Investigation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MT-L: Investigation, Writing &#x2013; original draft. LB-C: Investigation, Writing &#x2013; original draft. JR-V: Investigation, Writing &#x2013; original draft. TG-D: Investigation, Writing &#x2013; original draft. SM-D: Conceptualization, Funding acquisition, Resources, Supervision, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This publication is part of the project PID2022-138650OAI00, funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>Elvira Marquez-Paradas and Maria Torrecillas-Lopez have the benefit of a doctoral fellowship from the Spanish Ministry of Science, Innovation, and Universities (FPU22/01097 and PREP2022-000408, respectively). Luna Barrera-Chamorro has the benefit of doctoral fellowship supported by the VII Program of Inner Initiative for Research and Transfer of University of Seville (VII-PPIT-US). Teresa Gonzalez-de la Rosa acknowledges her contract supported by the &#x201c;Programa Investigo&#x201d; funded by the European Union&#x2500;Next Generation EU (C23.I1.P03.S01.01).</p>
</ack>
<sec id="s9" 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="s10" 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>
</sec>
<sec id="s11" 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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