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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Explor BioMat-X</journal-id>
<journal-id journal-id-type="publisher-id">EBMX</journal-id>
<journal-title-group>
<journal-title>Exploration of BioMat-X</journal-title>
</journal-title-group>
<issn pub-type="epub">2996-9476</issn>
<publisher>
<publisher-name>Open Exploration Publishing</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.37349/ebmx.2026.101362</article-id>
<article-id pub-id-type="manuscript">101362</article-id>
<article-categories>
<subj-group>
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Advancing infectious disease research through a chicken embryo model for developmental studies and antimicrobial screening of lipid nanoparticles</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1087-4919</contrib-id>
<name>
<surname>Ruano</surname>
<given-names>Marta</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ozichi</surname>
<given-names>Charlyne</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bedford</surname>
<given-names>Mike</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mullen</surname>
<given-names>Alexander B.</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kelemen</surname>
<given-names>Donald</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1967-3603</contrib-id>
<name>
<surname>Ferro</surname>
<given-names>Valerie A.</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="editor">
<name>
<surname>Zhang</surname>
<given-names>Laichang</given-names>
</name>
<role>Academic Editor</role>
<aff>Edith Cowan University’s School of Engineering, Australia</aff>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>Strathclyde Institute of Pharmacy &amp; Biomedical Sciences, University of Strathclyde, G4 0RE Glasgow, United Kingdom</aff>
<aff id="I2">
<sup>2</sup>AB Vista, SN8 4AN Wiltshire, United Kingdom</aff>
<aff id="I3">
<sup>3</sup>ABITEC Corporation, Columbus, OH 43215, United States</aff>
<author-notes>
<corresp id="cor1">
<bold>
<sup>*</sup>Correspondence:</bold> Marta Ruano, Strathclyde Institute of Pharmacy &amp; Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, G4 0RE Glasgow, United Kingdom. <email>marta.ruano-aldea@strath.ac.uk</email></corresp>
</author-notes>
<pub-date pub-type="collection">
<year>2026</year>
</pub-date>
<pub-date pub-type="epub">
<day>08</day>
<month>03</month>
<year>2026</year>
</pub-date>
<volume>3</volume>
<elocation-id>101362</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2026.</copyright-statement>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
</license>
</permissions>
<abstract>
<p id="absp-1">Antibiotic resistance is a global threat, driven by limited new antimicrobials and rising multidrug-resistant infections. Lipid nanoparticles (LNPs) combine tunable material properties with antimicrobial functionality, providing biocompatibility, controlled release, and biofilm penetration. LNPs provide key advantages over metallic and polymeric nanocarriers, including high biocompatibility, the ability to encapsulate both hydrophilic and hydrophobic agents, controlled release profiles, and reduced cytotoxicity and immune activation. These features enhance drug stability and bioavailability and may help circumvent bacterial defences such as biofilms and efflux pumps. Robust preclinical evaluation platform of antimicrobial biomaterials requires platforms that capture biologically relevant interactions while remaining ethically and economically feasible. The chick embryo model (CEM) has emerged as a versatile platform for infection studies, bridging conventional <italic>in vitro</italic> assays and mammalian <italic>in vivo</italic> models. Its vascularized and developing tissue environment enables assessment of nanoparticle biodistribution, local toxicity, and antimicrobial efficacy within a dynamic biological context. This review critically examines the application of the CEM for evaluating LNP-based antimicrobial systems, highlighting current methodological variability and limitations in experimental standardization. By identifying gaps in protocol harmonisation and comparative assessment, this work outlines opportunities to improve reproducibility and translational relevance. Overall, integrating rationally designed LNP systems with optimised CEMs may accelerate the development of next-generation antimicrobial biomaterials to combat antibiotic-resistant infections.</p>
</abstract>
<kwd-group>
<kwd>antibiotic resistance</kwd>
<kwd>lipid nanoparticles</kwd>
<kwd>antimicrobial biomaterials</kwd>
<kwd>nano–bio interactions</kwd>
<kwd>chicken embryo model</kwd>
<kwd>preclinical evaluation platforms</kwd>
<kwd>infection models</kwd>
<kwd>translational nanomedicine</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p id="p-1">The rapid emergence and global dissemination of antibiotic resistance (AR) constitute one of the most critical public health challenges of the 21st century. The World Health Organization (WHO) has identified AR as a global priority, warning that without urgent and coordinated intervention, infections that were previously treatable may once again become fatal [<xref ref-type="bibr" rid="B1">1</xref>]. Extensive overuse and misuse of antibiotics across clinical medicine, veterinary practice, and agriculture have accelerated the selection and spread of resistant microbial strains, undermining the effectiveness of existing therapies and placing a growing burden on healthcare systems worldwide [<xref ref-type="bibr" rid="B2">2</xref>]. Current estimates indicate that drug-resistant infections are responsible for approximately 700,000 deaths annually, with projections suggesting this figure could rise to 10 million per year by 2050 in the absence of effective countermeasures [<xref ref-type="bibr" rid="B3">3</xref>].</p>
<p id="p-2">Global surveillance initiatives, including the WHO Global Antimicrobial Resistance Surveillance System (GLASS), consistently report increasing resistance rates across multiple bacterial species, with multidrug-resistant Gram-negative pathogens posing particular concern in both community- and healthcare-associated infections [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B4">4</xref>]. Beyond clinical settings, environmental reservoirs play a substantial role in the persistence and dissemination of resistance determinants. Agricultural runoff, wastewater effluents, and improper disposal of pharmaceutical compounds contribute to environmental antibiotic contamination, facilitating the horizontal transfer of resistance genes and further amplifying the global AR burden [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>].</p>
<p id="p-3">Despite the escalating clinical need, the antibiotic discovery pipeline has stagnated over recent decades. Most antibacterial agents approved in the past 20 years are derivatives or reformulations of existing drug classes, providing incremental improvements rather than fundamentally new mechanisms of action [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>]. Economic disincentives, prolonged development timelines, and high attrition rates have constrained investment in antibacterial research, prompting increased interest in alternative and complementary strategies to conventional antibiotics [<xref ref-type="bibr" rid="B9">9</xref>].</p>
<p id="p-4">Among these strategies, biomaterials-based approaches—particularly nanotechnology-enabled delivery systems—have attracted growing attention for their ability to modulate nano–bio interactions and overcome biological barriers associated with AR. LNPs are of particular interest due to their intrinsic biocompatibility, tunable physicochemical properties, capacity to encapsulate both hydrophilic and hydrophobic agents, and potential for controlled or localized delivery [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>]. In antimicrobial applications, LNPs can enhance stability, pharmacokinetics, and site-specific delivery, potentially bypassing resistance mechanisms such as biofilm formation and efflux activity while reducing systemic toxicity [<xref ref-type="bibr" rid="B12">12</xref>].</p>
<p id="p-5">The rational development of LNP-based antimicrobial biomaterials requires robust and predictive preclinical evaluation platforms. While mammalian models provide high physiological relevance, they are often costly, time-intensive, and associated with significant ethical constraints. In this context, the chicken embryo model (CEM) has emerged as a versatile and ethically favorable alternative that bridges the gap between <italic>in vitro</italic> assays and mammalian <italic>in vivo</italic> systems [<xref ref-type="bibr" rid="B13">13</xref>]. The CEM provides a vascularized and dynamically developing biological environment, supports localized infection and material administration, and aligns with the principles of Replacement, Reduction, and Refinement (3Rs) in animal research [<xref ref-type="bibr" rid="B14">14</xref>].</p>
<p id="p-6">Despite increasing adoption, the application of the CEM in antimicrobial and biomaterials research remains highly variable. Variations in embryo age, inoculation routes, administration volumes, incubation conditions, and experimental endpoints limit reproducibility and complicate direct comparisons between studies [<xref ref-type="bibr" rid="B15">15</xref>]. Similarly, while LNP-based antimicrobials are often extensively characterised in terms of physicochemical properties and <italic>in vitro</italic> activity, fewer studies systematically evaluate their performance in standardized, biologically relevant <italic>in vivo</italic>-like models or critically compare their advantages and limitations relative to alternative nanocarrier platforms.</p>
<p id="p-7">This review critically examines the current literature on the use of the CEM for evaluating lipid nanoparticle-based antimicrobial biomaterials. By identifying methodological inconsistencies, highlighting experimental limitations, and discussing opportunities for protocol standardization, this work aims to improve reproducibility and translational relevance, thereby supporting the rational design and evaluation of nanoparticle-enabled strategies to combat antibiotic-resistant infections.</p>
</sec>
<sec id="s2">
<title>Antibiotic resistance (AR): drivers and challenges</title>
<p id="p-8">AR represents one of the most pressing global health challenges of the 21st century. The well-established relationship between antibiotic exposure and the emergence of resistant bacterial populations has prompted WHO to warn that, without urgent intervention, drug-resistant infections will increasingly undermine modern healthcare systems worldwide [<xref ref-type="bibr" rid="B16">16</xref>]. From a biomaterials and environmental perspective, AR emerges not only as a clinical problem but also as a consequence of complex interactions between microorganisms, anthropogenic activity, and chemical agents distributed across biological and ecological interfaces.</p>
<p id="p-9">Historically, resistance has followed closely behind antibiotic discovery. The first documented case of AR occurred in <italic>Escherichia coli</italic> in 1940, shortly after the introduction of sulfonamides, followed by penicillin-resistant <italic>Staphylococcus aureus</italic> in 1942 [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>]. Although the development of new antibiotic classes temporarily restored therapeutic efficacy, resistance rapidly re-emerged, ultimately giving rise to multidrug-resistant (MDR), extensively drug-resistant (XDR), and pan-drug-resistant (PDR) bacterial phenotypes. This recurring pattern highlights the evolutionary adaptability of bacteria and the inherent limitations of conventional small-molecule antibiotics.</p>
<p id="p-10">
<xref ref-type="fig" rid="fig1">Figure 1</xref> illustrates the parallel timeline of major antibiotic introductions and the subsequent emergence of resistant strains. The rapid appearance of resistance following clinical deployment underscores the persistent “arms race” between antimicrobial development and microbial adaptation. Currently, resistant infections are estimated to cause approximately 700,000 deaths annually worldwide, a figure projected to rise to 10 million deaths per year by 2050 in the absence of effective countermeasures [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B19">19</xref>].</p>
<fig id="fig1" position="float">
<label>Figure 1</label>
<caption>
<p id="fig1-p-1">
<bold>Timeline illustrating the parallel development of major antibiotic classes and the subsequent emergence of resistant bacterial phenotypes.</bold> Penicillinase resistance first appeared in 1947 (early clinical reports of penicillin-resistant <italic>Staphylococcus aureus</italic>) and later in hospitals (~1967). Vancomycin resistance is indicated twice: 1988 for vancomycin-resistant <italic>enterococci</italic> (VRE) and 2002 for vancomycin-resistant <italic>Staphylococcus aureus</italic> (VRSA). Notes clarify the species and timeline distinctions. Resistant (R), multidrug-resistant (MDR), extensively drug-resistant (XDR), and pan-drug-resistant (PDR) organisms are shown with approximate detection dates, highlighting the rapid onset of resistance following antibiotic introduction. The figure was created in BioRender. Ruano, M. (<uri xlink:href="https://BioRender.com/e6xuc2s">https://BioRender.com/e6xuc2s</uri>) is licensed under CC BY 4.0.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ebmx-03-101362-g001.tif" />
</fig>
<sec id="t2-1">
<title>Environmental and anthropogenic drivers of AR</title>
<p id="p-11">In addition to clinical misuse, subtherapeutic environmental antibiotic exposure is a major driver of AR. Widespread antibiotic application in medicine, veterinary practice, agriculture, and aquaculture, combined with insufficient wastewater treatment and pharmaceutical manufacturing effluents, has resulted in the continuous release of antimicrobial residues into soil and aquatic environments [<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>]. These conditions create persistent selective pressure that favors resistant microorganisms and facilitates the horizontal transfer of antibiotic resistance genes (ARGs).</p>
<p id="p-12">
<xref ref-type="fig" rid="fig2">Figure 2</xref> summarizes the main anthropogenic and natural sources of environmental antibiotic contamination. Agricultural runoff, livestock and aquaculture practices, improper medical-waste disposal, and pharmaceutical production introduce antibiotics into soil and water, where they interact with diverse microbial communities. Environmental compartments—soil, water, and biofilms—act as reservoirs and transfer media, facilitating the spread of resistance genes across ecosystems and their eventual re-entry into clinical settings.</p>
<fig id="fig2" position="float">
<label>Figure 2</label>
<caption>
<p id="fig2-p-1">
<bold>Environmental and anthropogenic drivers of antibiotic resistance.</bold> Key sources—including agriculture, pharmaceutical production, human and animal antibiotic overuse, aquaculture, and contaminated water—create selective pressure, promoting bacterial adaptation, horizontal gene transfer, and consequences such as therapy failure, prolonged illness, hospitalization, and occasionally death. The figure was created in BioRender. Ruano, M. (<uri xlink:href="https://BioRender.com/30itgss">https://BioRender.com/30itgss</uri>) is licensed under CC BY 4.0.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ebmx-03-101362-g002.tif" />
</fig>
</sec>
<sec id="t2-2">
<title>Mechanisms of bacterial resistance</title>
<p id="p-13">Bacteria employ multiple, often synergistic mechanisms to evade antibiotic action [<xref ref-type="bibr" rid="B1">1</xref>]. These include:</p>
<p id="p-14">
<list list-type="simple">
<list-item>
<label>1.</label>
<p>Enzymatic inactivation or modification, such as β-lactamase-mediated hydrolysis of β-lactam antibiotics;</p>
</list-item>
<list-item>
<label>2.</label>
<p>Target modification, involving mutations or chemical alterations that reduce drug binding to ribosomes, enzymes, or cell wall components;</p>
</list-item>
<list-item>
<label>3.</label>
<p>Active efflux, where membrane-embedded transporters expel antibiotics and reduce intracellular concentrations;</p>
</list-item>
<list-item>
<label>4.</label>
<p>Reduced permeability, resulting from alterations in membrane porins or cell envelope composition; and</p>
</list-item>
<list-item>
<label>5.</label>
<p>Horizontal gene transfer, via conjugation, transformation, or transduction, enables rapid dissemination of resistance traits across species.</p>
</list-item>
</list>
</p>
<p id="p-15">These mechanisms are often enhanced by chronic exposure to low antibiotic concentrations in environmental matrices, accelerating the emergence of MDR and XDR phenotypes. Understanding these resistance pathways is critical for the rational design of advanced biomaterials and delivery systems that can bypass or suppress conventional resistance mechanisms.</p>
</sec>
<sec id="t2-3">
<title>Stagnation in antibiotic discovery and emerging solutions</title>
<p id="p-16">Despite advances in microbiology and medicinal chemistry, antibiotic discovery has stagnated over the past three decades. No fundamentally new antibiotic classes have reached the market in this period; most recently approved agents are structural derivatives of existing drugs [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>]. As a result, monotherapy has become increasingly ineffective for severe infections, necessitating combination regimens, as exemplified by multidrug-resistant tuberculosis [<xref ref-type="bibr" rid="B24">24</xref>].</p>
<p id="p-17">In response, a range of complementary strategies is under investigation, including antimicrobial stewardship to reduce selective pressure, development of antibiotics with novel molecular targets, bacteriophage and probiotic therapies, and gene-editing approaches such as CRISPR-based interventions. Advanced drug delivery systems (DDSs), including nanocarriers, lipid nanoparticles, and bio-inspired materials—have emerged as powerful tools to enhance antibiotic efficacy, improve bioavailability, reduce off-target toxicity, and overcome bacterial defence mechanisms [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B25">25</xref>]. These material-enabled strategies shift the paradigm from purely pharmacological solutions toward integrated bio-material–microbe interface engineering.</p>
</sec>
</sec>
<sec id="s3">
<title>Role of NPs in the treatment of bacterial infections</title>
<p id="p-18">The rising prevalence of bacterial infections, compounded by AR, has intensified the search for novel therapeutic strategies. NPs represent a versatile alternative or adjunct to conventional antibiotics, providing mechanisms of action distinct from traditional small-molecule antimicrobials, which typically target single biochemical pathways. At the bio–nano interface, NPs interact with bacterial membranes, intracellular components, and local microenvironments, providing a multimodal antibacterial effect that can limit resistance development and restore efficacy against MDR pathogens [<xref ref-type="bibr" rid="B25">25</xref>].</p>
<p id="p-19">A broad spectrum of NPs classes—including metallic, metal oxide, polymeric, carbon-based, and lipid-based systems—has demonstrated potent antibacterial activity <italic>in vitro</italic> and <italic>in vivo</italic>. For example, oleic acid–coated iron oxide nanoparticles showed nearly two-fold higher antibacterial activity against ampicillin- and kanamycin-resistant <italic>Escherichia coli</italic> compared with free antibiotics [<xref ref-type="bibr" rid="B26">26</xref>]. Similarly, silver nanoparticles (AgNPs) exhibited strong, dose-dependent antibacterial effects against MDR <italic>Vibrio parahaemolyticus</italic> improving survival rates and reducing infection-related pathology [<xref ref-type="bibr" rid="B27">27</xref>]. AgNPs have also synergised with conventional antibiotics against resistant <italic>Pseudomonas aeruginosa</italic>, enabling reduced antibiotic dosing without loss of efficacy [<xref ref-type="bibr" rid="B28">28</xref>].</p>
<p id="p-20">Metal oxide NPs such as cerium oxide (CeO<sub>2</sub>) act primarily as antibiotic adjuvants, enhancing antibacterial efficacy through redox cycling and modulation of reactive oxygen species (ROS) rather than direct bactericidal action [<xref ref-type="bibr" rid="B29">29</xref>]. These examples underscore the versatility of NP platforms in addressing AR through complementary, multimodal mechanisms [<xref ref-type="bibr" rid="B30">30</xref>].</p>
<sec id="t3-1">
<title>Mechanisms of antibacterial nanoparticle action</title>
<p id="p-21">NPs exert antibacterial effects via multiple, often concurrent mechanisms, reducing the likelihood of resistance compared with conventional antibiotics [<xref ref-type="bibr" rid="B31">31</xref>]. The known antibacterial mechanisms include:</p>
<p id="p-22">
<list list-type="simple">
<list-item>
<label>1.</label>
<p>
<bold>Physical membrane disruption</bold>: Direct interactions of sharp NP edges with bacterial cell walls compromise membrane integrity, leading to leakage of cytoplasmic contents [<xref ref-type="bibr" rid="B32">32</xref>].</p>
</list-item>
<list-item>
<label>2.</label>
<p>
<bold>Generation of ROS</bold>: Oxidative stress overwhelms bacterial defences, even in dark conditions [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>].</p>
</list-item>
<list-item>
<label>3.</label>
<p>
<bold>Bacterial trapping/immobilization</bold>: NP aggregation can physically trap bacteria, limiting nutrient uptake and proliferation [<xref ref-type="bibr" rid="B35">35</xref>].</p>
</list-item>
<list-item>
<label>4.</label>
<p>
<bold>Redox imbalance</bold>: NPs disrupt cellular redox homeostasis, damaging proteins, lipids, and DNA [<xref ref-type="bibr" rid="B36">36</xref>].</p>
</list-item>
<list-item>
<label>5.</label>
<p>
<bold>Metabolic interference</bold>: NPs may inhibit glycolysis or energy production, impairing bacterial survival [<xref ref-type="bibr" rid="B37">37</xref>].</p>
</list-item>
<list-item>
<label>6.</label>
<p>
<bold>DNA damage</bold>: Interaction with genetic material can induce strand breaks and replication errors [<xref ref-type="bibr" rid="B38">38</xref>].</p>
</list-item>
<list-item>
<label>7.</label>
<p>
<bold>Electric charge transfer</bold>: Electron exchange between NPs and bacteria can disrupt membrane potential and enzymatic function [<xref ref-type="bibr" rid="B39">39</xref>].</p>
</list-item>
<list-item>
<label>8.</label>
<p>
<bold>Metal-ion release</bold>: Release of ions (e.g., Ag<sup>+</sup>) interferes with enzymes and membrane integrity [<xref ref-type="bibr" rid="B40">40</xref>].</p>
</list-item>
<list-item>
<label>9.</label>
<p>
<bold>Nanobubble formation/explosion</bold>: Localized cavitation events can mechanically damage bacterial structures [<xref ref-type="bibr" rid="B41">41</xref>].</p>
</list-item>
<list-item>
<label>10.</label>
<p>
<bold>Charge polarity effects</bold>: Surface charge polarity of NPs influences bacterial adhesion and membrane disruption [<xref ref-type="bibr" rid="B42">42</xref>].</p>
</list-item>
</list>
</p>
<p id="p-23">The multimodal action of NPs underpins potent activity against multidrug-resistant pathogens and biofilms, where single-target antibiotics often fail (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig id="fig3" position="float">
<label>Figure 3</label>
<caption>
<p id="fig3-p-1">
<bold>Multimodal antibacterial mechanisms of nanoparticles (NPs).</bold> NPs disrupt bacterial membranes, induce ROS and redox stress, impair metabolism, damage DNA, release toxic ions, and alter membrane potential. These combined actions enhance bactericidal efficacy and limit the development of conventional resistance [<xref ref-type="bibr" rid="B43">43</xref>]. The figure was created in BioRender. Ruano, M. (<uri xlink:href="https://BioRender.com/yx7ilj1">https://BioRender.com/yx7ilj1</uri>) is licensed under CC BY 4.0.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ebmx-03-101362-g003.tif" />
</fig>
</sec>
<sec id="t3-2">
<title>Comparative landscape of antimicrobial nanocarriers</title>
<p id="p-24">Various nanocarrier systems differ in biocompatibility, toxicity, stability, and translational potential (<xref ref-type="table" rid="t1">Table 1</xref>). Metallic NPs (Ag, Au, Fe<sub>3</sub>O<sub>4</sub>) show strong antibacterial activity but risk oxidative toxicity and accumulation [<xref ref-type="bibr" rid="B44">44</xref>]. Metal oxide NPs (ZnO, TiO<sub>2</sub>, CeO<sub>2</sub>) act as potent antibiotic enhancers, though biodegradability can be limited [<xref ref-type="bibr" rid="B12">12</xref>]. Polymeric NPs (PLGA, chitosan) provide controlled release but may present monomer toxicity and batch variability [<xref ref-type="bibr" rid="B45">45</xref>]. Carbon-based nanomaterials are effective due to high surface area and membrane interactions but face regulatory hurdles [<xref ref-type="bibr" rid="B46">46</xref>]. LNPs combine high biocompatibility, biodegradability, and scalability, making them highly translational for antimicrobial applications [<xref ref-type="bibr" rid="B10">10</xref>].</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<p id="t1-p-1">
<bold>Comparative overview of nanocarrier systems for antimicrobial applications.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Nanocarrier type</bold>
</th>
<th>
<bold>Key advantages</bold>
</th>
<th>
<bold>Key limitations</bold>
</th>
<th>
<bold>Relevance to AR</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Metallic NPs (Ag, Au, Fe<sub>3</sub>O<sub>4</sub>) [<xref ref-type="bibr" rid="B31">31</xref>]</td>
<td>Strong intrinsic antibacterial activity; ROS generation</td>
<td>Long-term accumulation; oxidative toxicity</td>
<td>Effective against MDR bacteria; mainly topical/local use</td>
</tr>
<tr>
<td>Metal-oxide NPs (ZnO, TiO<sub>2</sub>, CeO<sub>2</sub>) [<xref ref-type="bibr" rid="B12">12</xref>]</td>
<td>Potent antibacterial and adjuvant effects</td>
<td>Cytotoxicity; limited biodegradability</td>
<td>Useful as antibiotic enhancers</td>
</tr>
<tr>
<td>Polymeric NPs (PLGA, chitosan) [<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>]</td>
<td>Controlled release; tunable degradation</td>
<td>Monomer toxicity; batch variability</td>
<td>Sustained antibiotic delivery</td>
</tr>
<tr>
<td>Carbon-based nanomaterials [<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>]</td>
<td>High surface area; membrane disruption</td>
<td>Safety and regulatory concerns</td>
<td>Promising but limited translation</td>
</tr>
<tr>
<td>LNPs [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>]</td>
<td>High biocompatibility; biodegradability; scalable</td>
<td>Physical instability in some formulations</td>
<td>Strong translational potential</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t1-fn-1">AR: antibiotic resistance; LNPs: lipid nanoparticles; NP: nanoparticle.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="t3-3">
<title>Lipid nanoparticles as a privileged antimicrobial platform</title>
<p id="p-25">LNPs uniquely balance antibacterial efficacy with biocompatibility, offering minimal systemic toxicity, low immunogenicity, and limited long-term accumulation. Composed of physiologically compatible lipids, they exhibit minimal systemic toxicity, low immunogenicity, and limited long-term accumulation [<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>]. LNPs encapsulate both hydrophilic and hydrophobic antimicrobials, protecting labile agents from enzymatic degradation and enabling controlled or stimuli-responsive release [<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>].</p>
<p id="p-26">LNP systems include non-vesicular platforms (solid lipid nanoparticles, nanostructured lipid carriers, cubosomes, lipid–drug conjugates) and vesicular systems (liposomes, lipid–polymer hybrids, niosomes, bilosomes) [<xref ref-type="bibr" rid="B56">56</xref>–<xref ref-type="bibr" rid="B58">58</xref>]. Cubosomes, for instance, enhance antimicrobial peptide stability and achieve rapid bactericidal activity, outperforming free peptides [<xref ref-type="bibr" rid="B59">59</xref>]. Similarly, cubosome-encapsulated norfloxacin improved local deposition by ~150% in otitis externa models [<xref ref-type="bibr" rid="B60">60</xref>]. Clinically, lipid-based nanocarriers such as AmBisome<sup>®</sup>, Abelcet<sup>®</sup>, and Epaxal<sup>®</sup> exemplify their translational readiness [<xref ref-type="bibr" rid="B61">61</xref>].</p>
</sec>
<sec id="t3-4">
<title>Clinical advantages and future potential of lipid nanoparticles</title>
<p id="p-27">LNPs exhibit high biocompatibility, superior drug loading, robust colloidal stability, and scalable manufacturing, outperforming many polymeric and inorganic systems (<xref ref-type="table" rid="t2">Table 2</xref>) [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B57">57</xref>]. Their surfaces can be functionalized for targeted delivery, enhancing biodistribution for personalized medicine [<xref ref-type="bibr" rid="B62">62</xref>].</p>
<table-wrap id="t2">
<label>Table 2</label>
<caption>
<p id="t2-p-1">
<bold>Comparative advantages of LNPs over other nanocarriers.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Feature</bold>
</th>
<th>
<bold>LNPs</bold>
</th>
<th>
<bold>Liposomes</bold>
</th>
<th>
<bold>Polymeric NPs</bold>
</th>
<th>
<bold>Inorganic NPs</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Biocompatibility</td>
<td>High</td>
<td>Moderate</td>
<td>Moderate</td>
<td>Variable</td>
</tr>
<tr>
<td>Drug Loading</td>
<td>High</td>
<td>Moderate</td>
<td>Moderate</td>
<td>Variable</td>
</tr>
<tr>
<td>Stability</td>
<td>High</td>
<td>Moderate</td>
<td>Moderate</td>
<td>Often high, may aggregate</td>
</tr>
<tr>
<td>Targeted delivery</td>
<td>Easily functionalized</td>
<td>Possible, less efficient</td>
<td>Possible</td>
<td>Possible</td>
</tr>
<tr>
<td>Scalability &amp; GMP</td>
<td>Easy</td>
<td>Moderate</td>
<td>Moderate</td>
<td>Difficult</td>
</tr>
<tr>
<td>Clinical translation</td>
<td>Validated in mRNA vaccines</td>
<td>Some approved drugs</td>
<td>Limited</td>
<td>Mostly preclinical</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t2-fn-1">LNPs: lipid nanoparticles; NP: nanoparticle.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p id="p-28">These attributes position LNPs as a leading platform for targeted antimicrobial delivery, reduction of systemic toxicity, facilitation of combination therapies, and support of personalized medicine approaches.</p>
</sec>
<sec id="t3-5">
<title>Relevance of nanoparticles to the chicken embryo model</title>
<p id="p-29">The CEM provides a vascularized and cost-effective system. It is ethically favorable for evaluating nanoparticle biodistribution, toxicity, and therapeutic efficacy. By enabling injection into the chorioallantoic membrane (CAM) or yolk sac, the CEM allows assessment of NP–host and NP–pathogen interactions, infection progression, and mid-throughput screening prior to mammalian studies [<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>].</p>
</sec>
</sec>
<sec id="s4">
<title>Preclinical evaluation of nanoparticle-based antimicrobials</title>
<p id="p-30">The distinctive physicochemical properties of NPs—including nanoscale size, high surface area, and tunable surface chemistry—necessitate tailored preclinical evaluation strategies to assess therapeutic efficacy, mechanisms of action, and potential toxicity. LNPs are particularly sensitive to composition, size distribution, surface charge, and structural organization, making thorough evaluation essential [<xref ref-type="bibr" rid="B65">65</xref>].</p>
<p id="p-31">Preclinical evaluation typically follows a tiered approach, integrating <italic>in vitro</italic>, <italic>ex vivo</italic>, and <italic>in vivo</italic> models to assess NP behavior and efficacy [<xref ref-type="bibr" rid="B66">66</xref>]. While <italic>in vitro</italic> assays are indispensable for early screening, they cannot fully capture systemic interactions, biodistribution, and host responses. The CEM provides a physiologically relevant intermediate platform bridging in vitro assays and mammalian studies.</p>
<sec id="t4-1">
<title>
<italic>In vitro</italic> screening of nanoparticle therapeutics</title>
<p id="p-32">
<italic>In vitro</italic> assays provide the first step in NP evaluation, offering controlled conditions, high throughput, and cost efficiency. They are commonly used to assess cytotoxicity (e.g., MTT or Alamar Blue™), cell viability, metabolic activity [<xref ref-type="bibr" rid="B67">67</xref>], and mechanistic endpoints such as cytokine release, oxidative stress, and gene expression [<xref ref-type="bibr" rid="B68">68</xref>]. Antimicrobial activity is typically evaluated using disc diffusion, broth microdilution, or metabolic readouts, enabling direct comparison with conventional antibiotics [<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>].</p>
<p id="p-33">The main advantages of <italic>in vitro</italic> screening are experimental control, scalability, and rapid identification of lead candidates (<xref ref-type="table" rid="t3">Table 3</xref>). These assays also align with the 3Rs principle, reducing reliance on animal testing while providing mechanistic insight into NP–cell and NP–pathogen interactions. Limitations include the absence of systemic factors (immune response, metabolism, multicellular interactions), oversimplified tissue models, and limited predictive power for long-term toxicity, chronic exposure, or <italic>in vivo</italic> efficacy. Advanced commercial models, such as organotypic intestinal systems, developed by Alimetrics, improve physiological relevance but cannot fully replace <italic>in vivo</italic> validation.</p>
<table-wrap id="t3">
<label>Table 3</label>
<caption>
<p id="t3-p-1">
<bold>Advantages and limitations of in vitro screening.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Advantages</bold>
</th>
<th>
<bold>Limitations</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Controlled conditions (pH, temperature, medium)</td>
<td>Lack of systemic interactions (immune response, metabolism)</td>
</tr>
<tr>
<td>Rapid, high-throughput screening</td>
<td>Limited physiological relevance of immortalized or tumor-derived cell lines</td>
</tr>
<tr>
<td>Ethical alignment with 3R principle</td>
<td>Oversimplified environment, lacking ECM and mechanical forces</td>
</tr>
<tr>
<td>Mechanistic insights into toxicity and antimicrobial action</td>
<td>Poor prediction of chronic toxicity or long-term effects</td>
</tr>
<tr>
<td>Cost-effective compared with animal studies</td>
<td>Short experimental duration limits assessment of sustained effects</td>
</tr>
</tbody>
</table>
</table-wrap>
<p id="p-34">
<italic>In vitro</italic> assays are indispensable for early-stage NP screening but must be complemented by intermediate and mammalian models to assess systemic safety and therapeutic performance.</p>
</sec>
<sec id="t4-2">
<title>
<italic>In vivo</italic> and <italic>ex vivo</italic> screening models</title>
<p id="p-35">
<italic>In vivo</italic> studies capture complex organism-level interactions, including pharmacokinetics, tissue distribution, immune responses, efficacy, and toxicity. <italic>Ex vivo</italic> models complement these studies by preserving tissue or organ physiology under controlled conditions, enabling mechanistic investigation of NP–host interactions.</p>
<p id="p-36">Model selection balances ethical considerations, cost, throughput, and translational relevance. Mammalian models (mice, rabbits, non-human primates) provide detailed pharmacokinetic, immunological, and toxicological data [<xref ref-type="bibr" rid="B70">70</xref>] but are constrained by high cost, ethical requirements, and low throughput (<xref ref-type="table" rid="t4">Table 4</xref>). Non-mammalian models, such as <italic>Caenorhabditis elegans</italic> [<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B71">71</xref>–<xref ref-type="bibr" rid="B73">73</xref>], <italic>Drosophila melanogaster</italic> [<xref ref-type="bibr" rid="B74">74</xref>], <italic>Galleria mellonella</italic> [<xref ref-type="bibr" rid="B75">75</xref>–<xref ref-type="bibr" rid="B78">78</xref>] and zebrafish [<xref ref-type="bibr" rid="B79">79</xref>–<xref ref-type="bibr" rid="B81">81</xref>] provide cost-effective, ethically favorable alternatives for higher-throughput screening, though species differences limit predictive power for humans.</p>
<table-wrap id="t4">
<label>Table 4</label>
<caption>
<p id="t4-p-1">
<bold>Advantages and limitations of in vivo models.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Advantages</bold>
</th>
<th>
<bold>Disadvantages</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Replicate complex organismal interactions</td>
<td>Ethical concerns; regulatory approval required</td>
</tr>
<tr>
<td>Capture physiological complexity (immune response, metabolism)</td>
<td>High maintenance costs and specialized facilities</td>
</tr>
<tr>
<td>Enable comprehensive toxicity evaluation</td>
<td>Inter-species variability limits translational accuracy</td>
</tr>
<tr>
<td>Support long-term studies</td>
<td>Time-consuming</td>
</tr>
<tr>
<td>Multi-endpoint assessment (behavioral, histopathological, biochemical)</td>
<td>Limited throughput for large-scale screening</td>
</tr>
</tbody>
</table>
</table-wrap>
<p id="p-37">
<italic>Ex vivo</italic> platforms bridge the gap between <italic>in vitro</italic> and <italic>in vivo</italic> studies, maintaining tissue architecture and mechanistic insight while lacking systemic integration.</p>
<p id="p-38">Overall, <italic>in vivo</italic> models remain indispensable for comprehensive safety and efficacy evaluation, while non-mammalian and <italic>ex vivo</italic> systems support early decision-making and mechanistic insight. A tiered screening strategy combining these models is therefore essential to balance translational relevance, ethical responsibility, and development efficiency.</p>
</sec>
</sec>
<sec id="s5">
<title>Chicken embryo model as an intermediate screening platform</title>
<p id="p-39">The CEM provides an effective intermediate platform between <italic>in vitro</italic> assays and mammalian studies, balancing medium-to-high throughput, physiological relevance, and ethical feasibility for preclinical NP screening. The CEM provides a vascularized, dynamically developing, and ethically favorable platform for nanoparticle evaluation, supporting infection modeling, immune assessment, and biodistribution studies.</p>
<p id="p-40">Compared with other non-mammalian models, such as <italic>Caenorhabditis elegans</italic>, <italic>Drosophila melanogaster</italic>, <italic>Galleria mellonella</italic>, and zebrafish, the CEM provides greater physiological complexity and clinical relevance, while maintaining manageable costs and throughput (<xref ref-type="table" rid="t5">Table 5</xref>). Simpler invertebrate models allow very high-throughput screening but lack vascularization and adaptive immunity, whereas zebrafish provide partial organ and immune complexity yet remain limited in modeling later-stage immune responses [<xref ref-type="bibr" rid="B80">80</xref>]. The CEM therefore occupies a unique position, combining vascularized tissues, immune development, and experimental accessibility through <italic>in ovo</italic> or <italic>ex ovo</italic> approaches [<xref ref-type="bibr" rid="B82">82</xref>].</p>
<table-wrap id="t5">
<label>Table 5</label>
<caption>
<p id="t5-p-1">
<bold>Comparison with other non-mammalian models.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Feature</bold>
</th>
<th>
<bold>CEM</bold>
</th>
<th>
<bold>
<italic>Caenorhabditis elegans</italic>
</bold>
<break />
<bold>[<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B71">71</xref>]</bold>
</th>
<th>
<bold>Zebrafish</bold>
<break />
<bold>[<xref ref-type="bibr" rid="B81">81</xref>]</bold>
</th>
<th>
<bold>
<italic>Drosophila melanogaster</italic>
</bold>
<break />
<bold>[<xref ref-type="bibr" rid="B83">83</xref>]</bold>
</th>
<th>
<bold>
<italic>Galleria mellonella</italic>
</bold>
<break />
<bold>[<xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>]</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Cost</td>
<td>Low–moderate</td>
<td>Very low</td>
<td>Low</td>
<td>Very low</td>
<td>Low</td>
</tr>
<tr>
<td>Throughput</td>
<td>Moderate–high</td>
<td>Very high</td>
<td>High</td>
<td>Very high</td>
<td>Moderate–high</td>
</tr>
<tr>
<td>Physiologic complexity</td>
<td>Organ growth, blood vessels, immune progress</td>
<td>Simple anatomy, dynamic</td>
<td>Organ growth, immune progress</td>
<td>Simple anatomy, no adaptive immunity</td>
<td>Innate immunity only</td>
</tr>
<tr>
<td>Immune system</td>
<td>Innate + adaptive develop</td>
<td>Innate only</td>
<td>Innate + partial adaptive</td>
<td>Innate only</td>
<td>Innate only</td>
</tr>
<tr>
<td>Ease of manipulation</td>
<td>Moderate (<italic>in ovo</italic>/<italic>ex ovo</italic>, CAM access)</td>
<td>Easy</td>
<td>Moderate</td>
<td>Easy</td>
<td>Moderate</td>
</tr>
<tr>
<td>Clinical relevance</td>
<td>Moderate–high</td>
<td>Low</td>
<td>Moderate</td>
<td>Low</td>
<td>Low–moderate</td>
</tr>
<tr>
<td>Ethical issues</td>
<td>Less restriction before ED15</td>
<td>Minimal</td>
<td>Low</td>
<td>Minimal</td>
<td>Low</td>
</tr>
</tbody>
</table>
</table-wrap>
<p id="p-41">Overall, the CEM provides a robust compromise between complexity and scalability, supporting mechanistic insight and early translational decision-making. As such, it represents an ideal intermediate model for nanoparticle evaluation prior to mammalian testing.</p>
<sec id="t5-1">
<title>Avian immune development in the CEM</title>
<p id="p-42">The CEM exhibits a rapidly maturing immune system with structural and functional parallels to humans, enabling translationally relevant studies of host–pathogen interactions and immunomodulatory interventions (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig id="fig4" position="float">
<label>Figure 4</label>
<caption>
<p id="fig4-p-1">
<bold>Comparative immune development in humans and chickens.</bold> Human immune maturation occurs over ~40 gestational weeks (embryonic weeks, EW), whereas chicken immune development is completed within 21 embryonic days (ED). Key primary and secondary lymphoid organs are shown, including the thymus, spleen, bone marrow (humans), and the bursa of Fabricius (chickens), as well as mucosa-associated lymphoid tissue (MALT) in humans and cecal tonsils in chickens, highlighting conserved functional immunity despite differences in developmental timing and MHC diversity. The figure was created in BioRender. Ruano, M. (<uri xlink:href="https://BioRender.com/d52c6jx">https://BioRender.com/d52c6jx</uri>) is licensed under CC BY 4.0.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ebmx-03-101362-g004.tif" />
</fig>
<p id="p-43">Primary lymphoid organs develop in a defined sequence: the thymus supports T-cell differentiation (γδ T cells precede αβ T cells), the bursa of Fabricius mediates B-cell maturation (functionally analogous to human bone marrow), and the spleen acts as a secondary lymphoid organ in both species. Innate immunity is highly conserved; Toll-like receptors (TLRs) detect pathogen-associated molecular patterns, triggering comparable inflammatory signaling in chickens and humans.</p>
<p id="p-44">Antigen presentation occurs through the major histocompatibility complex (MHC), which, despite lower genetic diversity in chickens (~46 genes versus &gt; 200 in humans), enables effective T-cell activation. Early emergence of macrophages, dendritic cells, and NK cells, together with embryonic cytokine expression (IL-1β, IL-8, IFN-γ), allows functional evaluation of immune responses pre-hatch. The rapid, functional immune maturation makes the CEM a versatile platform for screening nanocarriers and immunomodulatory therapies, bridging mechanistic insight with potential clinical translation.</p>
</sec>
<sec id="t5-2">
<title>Methodological approaches in the CEM</title>
<p id="p-45">The CEM enables multiple experimental configurations for nanomaterial evaluation (<xref ref-type="fig" rid="fig5">Figure 5</xref>). <italic>In ovo</italic> cultivation preserves physiological conditions and is used for toxicity, survival, and biodistribution studies [<xref ref-type="bibr" rid="B86">86</xref>]. <italic>Ex ovo</italic> cultivation allows direct access to the CAM for angiogenesis assays and imaging-based analyses, with higher risk of dehydration and contamination [<xref ref-type="bibr" rid="B87">87</xref>].</p>
<fig id="fig5" position="float">
<label>Figure 5</label>
<caption>
<p id="fig5-p-1">
<bold>Experimental workflow of the CEM.</bold> Overview of <italic>in ovo</italic> and <italic>ex ovo</italic> cultivation, nanoparticle delivery routes (CAM injection, yolk sac injection, topical CAM application), and analytical readouts, including CAM angiogenesis assays, fluorescence/bioluminescence imaging, histological analysis, and toxicity assessment, for integrated evaluation of nanocarrier biodistribution and efficacy. CAM: chorioallantoic membrane; CEM: chick embryo model; HET-CAM: Hen’s Egg Test – Chorioallantoic Membrane; HET-CAV: Hen’s Egg Test – Chorioallantoic Vasculature. The figure was created in BioRender. Ruano, M. (<uri xlink:href="https://BioRender.com/v51f276">https://BioRender.com/v51f276</uri>) is licensed under CC BY 4.0.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ebmx-03-101362-g005.tif" />
</fig>
<p id="p-46">NP administration is performed via CAM injection [<xref ref-type="bibr" rid="B87">87</xref>], yolk sac injection [<xref ref-type="bibr" rid="B88">88</xref>], or topical CAM application [<xref ref-type="bibr" rid="B89">89</xref>], depending on the intended exposure profile. CAM injection enables localized assessment of vascular interactions, angiogenic responses [<xref ref-type="bibr" rid="B90">90</xref>], and antimicrobial efficacy. Yolk sac injection provides systemic exposure, supporting evaluation of NP circulation and organ distribution. Topical CAM application allows confined delivery to the membrane surface and is particularly suited for localized antibacterial or anti-angiogenic studies. These standardized routes, combined with multimodal readouts [<xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B91">91</xref>], support reproducible and translational screening of LNPs in the CEM.</p>
</sec>
<sec id="t5-3">
<title>Pathogen studies using the CEM</title>
<p id="p-47">The CEM is widely applied for infection modeling and antimicrobial evaluation, leveraging CAM accessibility, high vascularization and favorable ethical status. The model supports controlled investigation of pathogen invasion, host responses, and nanocarrier-mediated therapeutic efficacy across multiple microbial classes.</p>
<p id="p-48">CEM-based studies encompass bacterial, fungal, parasitic, and probiotic systems, including clinically and agriculturally relevant pathogens. Bacterial models include <italic>Klebsiella pneumoniae</italic>, <italic>Escherichia coli</italic> K-12, <italic>Salmonella Typhimurium</italic>, <italic>Staphylococcus aureus</italic>, <italic>Pseudomonas aeruginosa</italic>, <italic>Clostridium perfringens</italic>, <italic>Enterococcus cecorum</italic>, <italic>Chlamydia psittaci</italic>, and <italic>Chlamydia abortus</italic> [<xref ref-type="bibr" rid="B92">92</xref>]. Fungal infections have been established using <italic>Candida albicans</italic> [<xref ref-type="bibr" rid="B93">93</xref>], <italic>Aspergillus fumigatus</italic> [<xref ref-type="bibr" rid="B94">94</xref>], and <italic>Cryptococcus gattii</italic> [<xref ref-type="bibr" rid="B90">90</xref>], while parasitic infections such as <italic>Neospora caninum</italic> [<xref ref-type="bibr" rid="B95">95</xref>] have also been reported. In parallel, probiotic interventions (e.g., <italic>Enterococcus faecium</italic>, <italic>Bacillus subtilis</italic>) have been evaluated against enteric pathogens including <italic>Campylobacter jejuni</italic> [<xref ref-type="bibr" rid="B96">96</xref>].</p>
<p id="p-49">Antimicrobial assessment in the CEM typically follows a tiered screening strategy. Initial <italic>in vitro</italic> assays (disc diffusion, broth microdilution, metabolic viability assays) define minimal inhibitory concentrations and baseline antimicrobial activity. Subsequent <italic>in vivo</italic>/<italic>ex vivo</italic> infection studies involve pathogen inoculation at defined embryonic stages (commonly ED5–ED10) via CAM, yolk sac, allantoic cavity, or amniotic routes, followed by quantification of embryo survival, pathogen burden, histopathology, and immune markers. Topical CAM application further enables localized therapeutic evaluation while limiting systemic exposure.</p>
<p id="p-50">Pathogen-dependent outcomes are consistently observed in the CEM. Highly invasive extracellular bacteria induce rapid vascular dissemination and embryo lethality, whereas intracellular pathogens display delayed progression and tissue-restricted infection. Fungal pathogens show species-specific virulence profiles reflected in survival kinetics, inflammatory responses, and CAM vascular remodeling.</p>
<p id="p-51">Methodological heterogeneity limits reproducibility. Variability in inoculation route, embryonic day, pathogen dose, cultivation mode, and relative humidity (RH) significantly affects infection outcomes and complicates cross-study comparison. <italic>Ex ovo</italic> cultivation is associated with increased baseline mortality, while RH fluctuations markedly influence embryonic susceptibility (<xref ref-type="table" rid="t6">Table 6</xref>), underscoring the need for standardized infection protocols.</p>
<table-wrap id="t6">
<label>Table 6</label>
<caption>
<p id="t6-p-1">
<bold>Summary of microorganisms investigated using the chicken embryo model (CEM).</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Name</bold>
</th>
<th>
<bold>Day</bold>
</th>
<th>
<bold>T/RH</bold>
<break />
<bold>°C/%</bold>
</th>
<th>
<bold>ED</bold>
</th>
<th>
<bold>Dose</bold>
</th>
<th>
<bold>Key findings</bold>
</th>
<th>
<bold>Ref</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<italic>Klebsiella pneumoniae</italic>, <italic>Escherichia coli K-12</italic>, <italic>Salmonella Typhimurium</italic></td>
<td>13</td>
<td>37°C/45%</td>
<td>11</td>
<td>4 × 10<sup>6</sup> – 2 × 10<sup>7</sup> CFU/100 μL</td>
<td>Dose-dependent embryo mortality and immune activation</td>
<td>[<xref ref-type="bibr" rid="B86">86</xref>]</td>
</tr>
<tr>
<td>
<italic>Chlamydia psittaci</italic>, <italic>C. abortus</italic></td>
<td>12</td>
<td>37.8°C/60%</td>
<td>10</td>
<td>5 × 10<sup>4</sup> IFU/egg</td>
<td>Successful infection and tissue colonization</td>
<td>[<xref ref-type="bibr" rid="B92">92</xref>]</td>
</tr>
<tr>
<td>
<italic>Cryptococcus gattii</italic>
</td>
<td>18</td>
<td>ND</td>
<td>10</td>
<td>10<sup>7</sup> CFU/mL</td>
<td>Fungal dissemination</td>
<td>[<xref ref-type="bibr" rid="B97">97</xref>]</td>
</tr>
<tr>
<td>
<italic>Clostridium perfringens</italic>, <italic>Eimeria tenella</italic></td>
<td>15</td>
<td>37.6°C/55%</td>
<td>10, 15</td>
<td>10<sup>4</sup> CFU/100 μL</td>
<td>Gut lesions resembling avian intestinal disease</td>
<td>[<xref ref-type="bibr" rid="B98">98</xref>]</td>
</tr>
<tr>
<td>
<italic>E. coli</italic> DH5α bioluminescent</td>
<td>20</td>
<td>37.2–37.7°C/ND</td>
<td>18</td>
<td>10<sup>3</sup> CFU/μL</td>
<td>Enabled <italic>in vivo</italic> tracking of bacterial distribution</td>
<td>[<xref ref-type="bibr" rid="B91">91</xref>]</td>
</tr>
<tr>
<td>
<italic>Staphylococcus aureus</italic>
</td>
<td>12</td>
<td>38°C/80–90%</td>
<td>9</td>
<td>10<sup>2</sup> CFU/μL</td>
<td>Embryo mortality; inflammatory response</td>
<td>[<xref ref-type="bibr" rid="B87">87</xref>]</td>
</tr>
<tr>
<td>
<italic>Salmonella enterica</italic> serovar Typhimurium</td>
<td>17</td>
<td>37°C/40–60%</td>
<td>6, 10, 13, 16</td>
<td>10<sup>6</sup> CFU/μL</td>
<td>Dose- and time-dependent systemic infection</td>
<td>[<xref ref-type="bibr" rid="B99">99</xref>]</td>
</tr>
<tr>
<td>
<italic>Enterococcus cecorum</italic>
</td>
<td>18</td>
<td>37°C/55%</td>
<td>11</td>
<td>3.4 × 10<sup>7</sup> CFU/egg</td>
<td>Embryo mortality; liver/gut colonization</td>
<td>[<xref ref-type="bibr" rid="B100">100</xref>]</td>
</tr>
<tr>
<td>
<italic>Pseudomonas aeruginosa</italic>
</td>
<td>6</td>
<td>37°C/80%</td>
<td>5</td>
<td>10<sup>5</sup> CFU/μL (10 μL)</td>
<td>Rapid infection; high embryo lethality</td>
<td>[<xref ref-type="bibr" rid="B101">101</xref>]</td>
</tr>
<tr>
<td>Probiotic strains (<italic>E. faecium</italic>, <italic>Bacillus subtilis</italic>)</td>
<td>19</td>
<td>37.5°C/54%</td>
<td>17.5</td>
<td>5–16 × 10<sup>9</sup> CFU/egg</td>
<td>No adverse effects; microbiome modulation</td>
<td>[<xref ref-type="bibr" rid="B102">102</xref>]</td>
</tr>
<tr>
<td>
<italic>Salmonella</italic> spp., APEC, <italic>Campylobacter jejuni</italic></td>
<td>10–17</td>
<td>37°C/58%</td>
<td>10</td>
<td>3 log CFU/egg</td>
<td>Colonization; pathogen interaction studies</td>
<td>[<xref ref-type="bibr" rid="B96">96</xref>]</td>
</tr>
<tr>
<td>
<italic>Salmonella pullorum</italic>, <italic>E. coli</italic></td>
<td>15</td>
<td>37°C/58%</td>
<td>13</td>
<td>2–6 log CFU/embryo</td>
<td>Embryo mortality; pathogen-specific immunity</td>
<td>[<xref ref-type="bibr" rid="B103">103</xref>]</td>
</tr>
<tr>
<td>
<italic>Neospora caninum</italic>
</td>
<td>8–18</td>
<td>ND</td>
<td>8</td>
<td>10–10<sup>5</sup> tachyzoites/embryo</td>
<td>Infection and parasite proliferation</td>
<td>[<xref ref-type="bibr" rid="B104">104</xref>]</td>
</tr>
<tr>
<td>
<italic>Candida albicans</italic>
</td>
<td>18</td>
<td>37.6°C/60%</td>
<td>7, 10</td>
<td>10<sup>8</sup> cells/egg</td>
<td>Colonization; embryo lethality</td>
<td>[<xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B106">106</xref>]</td>
</tr>
<tr>
<td>
<italic>Aspergillus fumigatus</italic>
</td>
<td>16</td>
<td>37.6°C/50–60%</td>
<td>14</td>
<td>0.1 mL of 10<sup>7</sup>–10<sup>2</sup> CFU</td>
<td>Respiratory lesions; dose-dependent</td>
<td>[<xref ref-type="bibr" rid="B107">107</xref>]</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="t5-4">
<title>Applications of the CEM in NP research</title>
<p id="p-52">The CEM provides a rapid, translational platform for NP evaluation: rapid organogenesis (21 days) [<xref ref-type="bibr" rid="B13">13</xref>], low ethical constraints before ED15 [<xref ref-type="bibr" rid="B108">108</xref>], human-relevant physiology, and highly vascularized CAM for real-time NP tracking. Physiological and immune parallels with humans (<xref ref-type="fig" rid="fig4">Figure 4</xref>) support mechanistic insights, while the highly vascularized CAM allows real-time assessment of NP biodistribution and efficacy [<xref ref-type="bibr" rid="B109">109</xref>].</p>
</sec>
<sec id="t5-5">
<title>Limitations of the CEM</title>
<p id="p-53">The CEM provides a cost-effective, ethically favorable platform for infection and therapeutic studies, but several biological and technical constraints must be considered. <xref ref-type="table" rid="t7">Table 7</xref> summarizes the main limitations.</p>
<table-wrap id="t7">
<label>Table 7</label>
<caption>
<p id="t7-p-1">
<bold>Limitations of the CEM for biomedical and pharmacological applications.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Limitation</bold>
</th>
<th>
<bold>Description</bold>
</th>
<th>
<bold>Ref</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Underdeveloped immunity</td>
<td>Adaptive immunity immature pre-hatch, limiting immune and immunotherapy studies</td>
<td>[<xref ref-type="bibr" rid="B110">110</xref>]</td>
</tr>
<tr>
<td>Ethical constraints</td>
<td>Studies after ED14 need approval</td>
<td>[<xref ref-type="bibr" rid="B111">111</xref>]</td>
</tr>
<tr>
<td>Limited systemic evaluation</td>
<td>Unsuitable for chronic or systemic studies, including toxicity, pharmacokinetics, and metabolism</td>
<td>[<xref ref-type="bibr" rid="B112">112</xref>]</td>
</tr>
<tr>
<td>Challenges modelling complex diseases</td>
<td>Immature development limits studies of neurodegeneration and advanced cancers</td>
<td>[<xref ref-type="bibr" rid="B13">13</xref>]</td>
</tr>
<tr>
<td>
<italic>Ex ovo</italic> technical risks</td>
<td>Contamination, dehydration, and high mortality limit long-term reliability</td>
<td>[<xref ref-type="bibr" rid="B113">113</xref>, <xref ref-type="bibr" rid="B114">114</xref>]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t7-fn-1">CEM: chick embryo model.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p id="p-54">Remaining gaps include standardized pathogen inoculation and LNP dosing, limited systemic immune evaluation, and few comparative studies with mammalian models to validate translational relevance. Complex phenomena such as wound healing or scaffold dynamics remain challenging to assess in this model.</p>
</sec>
<sec id="t5-6">
<title>Proposed framework for standardization of CEM-based studies</title>
<p id="p-55">To enhance reproducibility and comparability, we propose the following standardized framework in <xref ref-type="table" rid="t8">Table 8</xref>.</p>
<table-wrap id="t8">
<label>Table 8</label>
<caption>
<p id="t8-p-1">
<bold>Proposed standardization framework for CEM-based studies.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Parameter</bold>
</th>
<th>
<bold>Recommendation</bold>
</th>
<th>
<bold>Notes</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>Inoculation timing</td>
<td>ED5–10 for systemic studies; ED12–18 for immune response assessment</td>
<td>Adjust based on pathogen/study goal</td>
</tr>
<tr>
<td>Microbial dose</td>
<td>Report in CFU/μL or per egg; determine sublethal/lethal ranges via titration</td>
<td>Ensures reproducibility</td>
</tr>
<tr>
<td>Environmental conditions</td>
<td>Temperature 37–38°C; humidity 40–80%</td>
<td>Maintain consistently</td>
</tr>
<tr>
<td>Administration route</td>
<td>Specify <italic>in ovo</italic> vs. <italic>ex ovo</italic>, injection site, volume, and technique</td>
<td>Impacts survival/outcomes</td>
</tr>
<tr>
<td>Experimental endpoints</td>
<td>Embryo survival, pathogen colonization, immune markers, histology, imaging</td>
<td>Standardized readouts improve comparison</td>
</tr>
<tr>
<td>Replicates and controls</td>
<td>Include biological and technical replicates; positive/negative controls</td>
<td>Ensures statistical robustness</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t8-fn-1">CEM: chick embryo model.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="t5-7">
<title>Future research directions</title>
<p id="p-56">Despite the promise of LNPs and the CEM, the field currently faces key gaps: lack of standardized protocols across infection models, limited comparative studies of LNPs versus other nanocarriers and insufficient translational validation between CEM and mammalian systems.</p>
<p id="p-57">Future studies should focus on systematic, mechanistically guided, and standardized investigations to maximize the CEM’s predictive power and accelerate clinical translation of nanoparticle-based therapeutics and key areas for further development include:</p>
<p id="p-58">
<list list-type="simple">
<list-item>
<label>1.</label>
<p>Standardization of experimental parameters: harmonized SOPs for inoculation, LNP dosing, temperature, and RH to reduce variability.</p>
</list-item>
<list-item>
<label>2.</label>
<p>Integration of advanced readouts: use of fluorescence lifetime imaging, whole-embryo tomography, and transcriptomic profiling to better understand LNP biodistribution and infection mechanisms.</p>
</list-item>
<list-item>
<label>3.</label>
<p>Improved immune modelling: use immune modulators, cell transplants, or immune-reporter pathogens to evaluate host responses.</p>
</list-item>
<list-item>
<label>4.</label>
<p>Pathogen-specific frameworks: tailor inoculation days, RH, and disease markers to major bacterial, fungal, and parasitic species.</p>
</list-item>
<list-item>
<label>5.</label>
<p>Rational LNP optimization: screen LNP formulations varying in lipid composition, surface chemistry, or targeting ligands.</p>
</list-item>
<list-item>
<label>6.</label>
<p>Bridging to mammalian models: benchmark CEM outcomes against rodents to validate translational predictivity.</p>
</list-item>
</list>
</p>
</sec>
</sec>
<sec id="s6">
<title>Conclusions</title>
<p id="p-59">In conclusion, standardized protocols are critical to ensure reproducible, comparable infection studies using the CEM. Pathogen-specific optimization of inoculation timing, dose, and evaluation parameters is essential to capture diverse infection dynamics. Implementing harmonized frameworks (<xref ref-type="table" rid="t8">Table 8</xref>) will strengthen reproducibility and translational relevance.</p>
</sec>
</body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>AgNPs</term>
<def>
<p>silver nanoparticles</p>
</def>
</def-item>
<def-item>
<term>APEC</term>
<def>
<p>avian pathogenic <italic>Escherichia coli</italic></p>
</def>
</def-item>
<def-item>
<term>AR</term>
<def>
<p>antibiotic resistance</p>
</def>
</def-item>
<def-item>
<term>CAM</term>
<def>
<p>chorioallantoic membrane</p>
</def>
</def-item>
<def-item>
<term>CEM</term>
<def>
<p>chick embryo model</p>
</def>
</def-item>
<def-item>
<term>HET-CAM</term>
<def>
<p>Hen’s Egg Test – Chorioallantoic Membrane</p>
</def>
</def-item>
<def-item>
<term>HET-CAV</term>
<def>
<p>Hen’s Egg Test – Chorioallantoic Vasculature</p>
</def>
</def-item>
<def-item>
<term>LNPs</term>
<def>
<p>lipid nanoparticles</p>
</def>
</def-item>
<def-item>
<term>MDR</term>
<def>
<p>multidrug-resistance</p>
</def>
</def-item>
<def-item>
<term>NPs</term>
<def>
<p>nanoparticles</p>
</def>
</def-item>
<def-item>
<term>RH</term>
<def>
<p>relative humidity</p>
</def>
</def-item>
<def-item>
<term>ROS</term>
<def>
<p>reactive oxygen species</p>
</def>
</def-item>
<def-item>
<term>WHO</term>
<def>
<p>World Health Organization</p>
</def>
</def-item>
<def-item>
<term>XDR</term>
<def>
<p>extensively drug-resistant</p>
</def>
</def-item>
</def-list>
</glossary>
<sec id="s7">
<title>Declarations</title>
<sec id="t-7-1">
<title>Acknowledgments</title>
<p>M.R. acknowledges that the foundational knowledge underpinning this study was developed during a Knowledge Transfer Partnership (KTP) project between AB Vista, ABITEC Corporation, and the University of Strathclyde.</p>
</sec>
<sec id="t-7-2">
<title>Author contributions</title>
<p>MR: Conceptualization, Investigation, Writing—original draft, Writing—review &amp; editing. CO: Conceptualization, Investigation, Writing—original draft. MB: Project administration. ABM: Project administration. DK: Project administration. VAF: Supervision, Resources, Project administration, Conceptualization, Investigation, Writing—original draft, Writing—review &amp; editing. All authors read and approved the submitted version.</p>
</sec>
<sec id="t-7-3" sec-type="COI-statement">
<title>Conflicts of interest</title>
<p>The authors declare that they have no conflicts of interest. The publication of the article is not subject to any financial or other restrictions.</p>
</sec>
<sec id="t-7-4">
<title>Ethical approval</title>
<p>Not applicable.</p>
</sec>
<sec id="t-7-5">
<title>Consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec id="t-7-6">
<title>Consent to publication</title>
<p>Not applicable.</p>
</sec>
<sec id="t-7-7" sec-type="data-availability">
<title>Availability of data and materials</title>
<p>Not applicable.</p>
</sec>
<sec id="t-7-8">
<title>Funding</title>
<p>This work did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p>
</sec>
<sec id="t-7-9">
<title>Copyright</title>
<p>© The Author(s) 2026.</p>
</sec>
</sec>
<sec id="s8">
<title>Publisher’s note</title>
<p>Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.</p>
</sec>
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