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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PJI</journal-id>
<journal-id journal-id-type="publisher-id">Premier Journal of Immunology</journal-id>
<journal-id journal-id-type="pmc">PJI</journal-id>
<journal-title-group>
<journal-title>PJ Immunology</journal-title>
</journal-title-group>
<issn pub-type="epub">2978-0039</issn>
<publisher>
<publisher-name>Premier Science</publisher-name>
<publisher-loc>London, UK</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.70389/PJI.100007</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>REVIEW</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Cognitive science</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject><subj-group><subject>Hallucinations</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Psychology</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject><subj-group><subject>Hallucinations</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Social sciences</subject><subj-group><subject>Psychology</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject><subj-group><subject>Hallucinations</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Sensory perception</subject><subj-group><subject>Hallucinations</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Social sciences</subject><subj-group><subject>Linguistics</subject><subj-group><subject>Grammar</subject><subj-group><subject>Phonology</subject><subj-group><subject>Syllables</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Engineering and technology</subject><subj-group><subject>Signal processing</subject><subj-group><subject>Speech signal processing</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Cognitive science</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Psychology</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Social sciences</subject><subj-group><subject>Psychology</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Sensory perception</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Mental health and psychiatry</subject><subj-group><subject>Schizophrenia</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Research and analysis methods</subject><subj-group><subject>Bioassays and physiological analysis</subject><subj-group><subject>Electrophysiological techniques</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Electrophysiology</subject><subj-group><subject>Neurophysiology</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neurophysiology</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Brain mapping</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Clinical medicine</subject><subj-group><subject>Clinical neurophysiology</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Research and analysis methods</subject><subj-group><subject>Imaging techniques</subject><subj-group><subject>Neuroimaging</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neuroimaging</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Cell biology</subject><subj-group><subject>Cellular types</subject><subj-group><subject>Animal cells</subject><subj-group><subject>Neurons</subject><subj-group><subject>Interneurons</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Cellular neuroscience</subject><subj-group><subject>Neurons</subject><subj-group><subject>Interneurons</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Research and analysis methods</subject><subj-group><subject>Bioassays and physiological analysis</subject><subj-group><subject>Electrophysiological techniques</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Electrophysiology</subject><subj-group><subject>Neurophysiology</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neurophysiology</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Brain mapping</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Clinical medicine</subject><subj-group><subject>Clinical neurophysiology</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Research and analysis methods</subject><subj-group><subject>Imaging techniques</subject><subj-group><subject>Neuroimaging</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neuroimaging</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group>
</article-categories>
<title-group>
<article-title>The Role of the Gut Microbiome in Infectious Diseases: Mechanisms, Diagnostics, and Therapeutic Potential</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ahmed</surname>
<given-names>Riaz</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/Writing-original-draft/">Writing &#x2013; original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/review-editing/">Review and editing</role>
</contrib>
<aff id="aff1"><institution>Department of Medical Sciences, Military College of Signals NUST</institution>, <city>Islamabad</city>, <country>Pakistan</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor001"><bold>Correspondence to:</bold> Riaz Ahmed, <email>riazkhattak450@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<month>07</month>
<year>2025</year>
</pub-date>
<volume>4</volume>
<issue>1</issue>
<elocation-id>100007</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>12</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-year>2025</copyright-year>
<copyright-holder>Riaz Ahmed</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="info:doi/10.70389/PJI.100007"/>
<abstract>
<p>The human gut microbiome is based on the microbial ecosystem responsible for maintaining host health by regulating immune responses and providing resistance against pathogens. The narrative review explained the mechanisms by which the gut microbiome contributes to colonization of resistance, supports for mucosal immunity, and microbiome imbalance, thereby increasing the risk of infection. Moreover, the narrative review examines specific infections, including SARS-CoV-2, <italic>Clostridioides difficile</italic>, norovirus, and HIV. There is a discussion about the systemic impact of the microbiome through the gut-brain and gut-lung axes. The diagnostic advancement is also observed, including metagenomic sequencing and biomarkers of the microbiome. This review examined the systemic impact of the microbiome through the gut-lung and gut-brain axes. There have been observed diagnostic advancements, including microbiome biomarkers and metagenomic sequencing, which are being evaluated for their potential in early infection risk prediction and personalized medicine. Therapeutic approaches, such as faecal microbiota transplantation, probiotics, postbiotics, and engineered microbes, are effective in their clinical applications. The review has highlighted critical challenges of safety, host-specific responses, regulation, and long-term efficacy. The paper emphasized the gut microbiome&#x2019;s central role in infectious disease management and highlighted the need for further research to develop effective, personalized, and microbiome-based diagnostics.</p>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>Gut microbiome</kwd>
<kwd>Colonization resistance</kwd>
<kwd>Mucosal immunity</kwd>
<kwd>Faecal microbiota transplantation</kwd>
<kwd>Microbiome biomarkers</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<page-count count="9"/>
</counts>
</article-meta>
</front>
<body>
<sec>
<title><ext-link ext-link-type="uri" xlink:href="https://premierscience.com/wp-content/uploads/2025/04/pjs-25-989.pdf">Source-File: pjs-25-989.pdf</ext-link></title>
</sec>
<sec id="sec001" sec-type="intro">
<title>Introduction</title>
<sec id="sec001-1">
<title>Gut Microbiome: Composition and Function</title>
<p>According to the report,<sup><xref ref-type="bibr" rid="ref1">1</xref></sup> the human gut microbiome comprises trillions of microorganisms, including bacteria, fungi, viruses, and archaea, which reside in the colon. These microbes are ten times more abundant than human cells, and they can code the gut microbiota, known as the microbiome, which is approximately 100 times more numerous.<sup><xref ref-type="bibr" rid="ref2">2</xref></sup> Furthermore,<sup><xref ref-type="bibr" rid="ref3">3</xref></sup> added that the microbiome has a complicated microbial community that plays an important role in maintaining the physiological homeostasis of the host. This leads to managing crucial functions such as vitamin synthesis, digestion, immune modulation, and maintaining the gut barrier integrity.<sup><xref ref-type="bibr" rid="ref4">4</xref></sup> Dominant bacterial phyla, namely Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria, work synergistically in metabolic and immunological processes, continuously interacting with host cells and dietary substrates.<sup><xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref></sup> These interactions form the basis of the gut&#x2019;s ability to influence both local and systemic health.</p>
</sec>
<sec id="sec001-2">
<title>Overview of Gut Microbiome Link to Infectious Diseases</title>
<p>Researchers<sup><xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref></sup> identified a profound connection between gut microbiota and infectious diseases. Dysbiosis is an imbalance in microbial composition that is increasingly associated with heightened susceptibility to infections, particularly those affecting mucosal surfaces.<sup><xref ref-type="bibr" rid="ref9">9</xref></sup> However,<sup><xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref10">10</xref></sup> added that the gut microbiome impacts pathogen resistance by modulating mucosal immunity, constructing antimicrobial peptides, and competing with pathogens for nutrients and niche space. Additionally, microbiome modifications are observed in infections such as <italic>Clostridioides difficile</italic>, HIV, SARS-CoV-2, and norovirus, highlighting their diagnostic and prognostic relevance.<sup><xref ref-type="bibr" rid="ref11">11</xref></sup> The connection between the gut and other organs through axes like the gut-lung and gut-brain pathways leads to connecting the microbiome in immune responses and systemic infections (<xref ref-type="fig" rid="F1">Figure 1</xref>).<sup><xref ref-type="bibr" rid="ref6">6</xref></sup></p>
<fig id="F1" position="float">
<object-id pub-id-type="doi">10.70389/journal.pji.100007.g001</object-id>
<label>Fig 1</label>
<caption><title>Effects of gut microbes on innate immune receptors<sup><xref ref-type="bibr" rid="ref4">4</xref></sup></title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/04/pji-25-989-Figure-1.jpg?">Figure 1</ext-link></p>
</fig>
</sec>
<sec id="sec001-3">
<title>Purpose of the Narrative Review</title>
<p>This narrative review aims to synthesize the current understanding of the gut microbiome&#x2019;s role in infectious diseases. It will concentrate on four main areas, including the microbial community&#x2019;s influence on disease susceptibility and progression, mechanisms of microbiome-host-pathogen interactions, the diagnostic utility of microbiome profiling, and therapeutic potentials such as faecal microbiota transplantation (FMT), probiotics, postbiotics, and engineered microbes.</p>
<p>The research objectives for the current narrative review are:</p>
<list list-type="order">
<list-item><p>To analyze gut microbiota influence on susceptibility and progression of infectious diseases</p></list-item>
<list-item><p>To scrutinize microbial-pathogen interactions, immunological consequences, and the diagnostic potential of microbiome profiling in infectious disease management</p></list-item>
<list-item><p>To discover microbiome-based interventions, including probiotics, prebiotics, FMT, and engineered microbes</p></list-item>
<list-item><p>To identify research gaps and propose directions for clinical translation</p></list-item>
</list>
</sec>
<sec id="sec001-4">
<title>Research Methodology</title>
<p>This study employed a structured narrative review approach to compile and analyze global evidence related to neglected tropical diseases (NTDs), with a focus on their overall burden, ongoing control efforts, and existing research gaps. A comprehensive literature search was conducted using four major academic databases: PubMed, Web of Science, Scopus, and Google Scholar (refer to <xref ref-type="table" rid="T1">Table 1</xref>). In addition to peer-reviewed journal articles, relevant documents published by the World Health Organization and major international donors or partners from January 2007 to May 2025 were also included in the review.</p>
<table-wrap id="T1">
<label>Table 1</label>
<caption><title>Comparative analysis of therapeutic and diagnostic microbiome strategies</title></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Aspect</th>
<th valign="top" align="left">FMT</th>
<th valign="top" align="left">Probiotics</th>
<th valign="top" align="left">Metagenomics</th>
<th valign="top" align="left">Culture-Based Diagnostics</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Clinical Use</td>
<td valign="top" align="left">Primarily for recurrent CDI; also explored for multidrug-resistant infections and immune modulation<sup><xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref43">43</xref></sup></td>
<td valign="top" align="left">Used for GI infections, antibiotic-associated diarrhea, and immune support<sup><xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref></sup></td>
<td valign="top" align="left">Microbiome-wide profiling for infection risk, dysbiosis, and antibiotic resistance<sup><xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref></sup></td>
<td valign="top" align="left">Detection of culturable pathogens, used in standard microbiology labs<sup><xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref41">41</xref></sup></td>
</tr>
<tr>
<td valign="top" align="left">Success Rate</td>
<td valign="top" align="left">85&#x2013;90% efficacy in recurrent CDI<sup><xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref42">42</xref></sup></td>
<td valign="top" align="left">Usually, 30&#x2013;40% efficacy in clinical trials; varies by strain and condition<sup><xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref></sup></td>
<td valign="top" align="left">High accuracy and sensitivity in pathogen detection and gene profiling<sup><xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref39">39</xref></sup></td>
<td valign="top" align="left">Lower sensitivity; misses non-culturable or low-abundance species<sup><xref ref-type="bibr" rid="ref41">41</xref></sup></td>
</tr>
<tr>
<td valign="top" align="left">Mechanism</td>
<td valign="top" align="left">Restores microbial diversity and function, reinforces colonization resistance and barrier integrity <sup><xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref43">43</xref></sup></td>
<td valign="top" align="left">Introduces select strains (e.g., <italic>Lactobacillus, Bifidobacterium</italic>) to rebalance microbiota and stimulate immunity<sup><xref ref-type="bibr" rid="ref46">46</xref>,<xref ref-type="bibr" rid="ref47">47</xref></sup></td>
<td valign="top" align="left">Captures microbial DNA directly; identifies taxonomic and functional genes<sup><xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref></sup></td>
<td valign="top" align="left">Grows viable microbes on media; identifies morphology and antibiotic susceptibility<sup><xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref41">41</xref></sup></td>
</tr>
<tr>
<td valign="top" align="left">Advantages</td>
<td valign="top" align="left">Highly effective, broad-spectrum microbiota restoration<sup><xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref42">42</xref></sup></td>
<td valign="top" align="left">Safe for mild use, well-tolerated, commercially available<sup><xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref></sup></td>
<td valign="top" align="left">Detects all microbes (including rare/unculturable); provides functional data<sup><xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref></sup></td>
<td valign="top" align="left">Low cost, useful for antimicrobial resistance testing<sup><xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref41">41</xref></sup></td>
</tr>
<tr>
<td valign="top" align="left">Limitations</td>
<td valign="top" align="left">Risk of donor variability, regulatory and safety challenges<sup><xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref44">44</xref></sup></td>
<td valign="top" align="left">Limited strain diversity; inconsistent outcomes across individuals<sup><xref ref-type="bibr" rid="ref45">45</xref></sup></td>
<td valign="top" align="left">High cost, complex data analysis, not yet standardized in clinics<sup><xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref41">41</xref></sup></td>
<td valign="top" align="left">Cannot detect fastidious, anaerobic, or rare microbes<sup><xref ref-type="bibr" rid="ref41">41</xref></sup></td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The search strategy incorporated Boolean logic, using combinations such as:</p>
<list list-type="bullet">
<list-item><p>(&#x201C;neglected tropical diseases&#x201D; OR &#x201C;NTDs&#x201D;) AND (burden OR disability-adjusted life year [DALY] OR elimination OR control OR mass drug administration [MDA] OR research gaps OR vaccine OR diagnostics).</p></list-item>
<list-item><p>Only studies published in English were considered for inclusion. To ensure relevance and quality, sources were selected if they met at least one of the following criteria:</p>
<list list-type="bullet">
<list-item><p>Presented empirical data on the disease burden (e.g., DALYs, prevalence),</p></list-item>
<list-item><p>Evaluated or described NTD control strategies (e.g., MDA, water sanitation and hygiene, vector management),</p></list-item>
<list-item><p>Explored research innovations, such as new diagnostic tools, vaccine development, or digital health applications.</p></list-item>
</list></list-item></list>
</sec>
</sec>
<sec id="sec002">
<title>Microbiome-Host-Pathogen Interactions</title>
<sec id="sec002-1">
<title>Colonization Resistance</title>
<p>Colonization resistance is defined as the protective role of the gut microbiota in preventing pathogenic microorganisms from establishing in the gastrointestinal (GI) tract.<sup><xref ref-type="bibr" rid="ref12">12</xref></sup> Another report<sup><xref ref-type="bibr" rid="ref13">13</xref></sup> clarified that the process is facilitated by various organisms, such as commensal bacteria, competing with pathogens for physical niches and nutrients that limit the resources available for pathogens&#x2019; growth. In this case, the antimicrobial compounds are produced by beneficial microbes like bacteriocins and short-chain fatty acids (SCFAs) that inhibit the invading pathogens (<xref ref-type="fig" rid="F2">Figure 2</xref>).<sup><xref ref-type="bibr" rid="ref14">14</xref></sup></p>
<fig id="F2" position="float">
<object-id pub-id-type="doi">10.70389/journal.pji.100007.g002</object-id>
<label>Fig 2</label>
<caption><title>Potential microbiota-associated intervention timeline<sup><xref ref-type="bibr" rid="ref2">2</xref></sup></title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/04/pji-25-989-Figure-2.jpg?">Figure 2</ext-link></p>
</fig>
<p>Investigators<sup><xref ref-type="bibr" rid="ref15">15</xref></sup> added that the epithelial barrier integrity is increased by microbiota, which further controls the host immune responses by creating an inhospitable environment for destructive organisms. Another study<sup><xref ref-type="bibr" rid="ref16">16</xref></sup> found that individuals with healthy microbiomes do not face infections with <italic>C.</italic> <italic>difficile</italic> that occur after using antibiotics and disrupt microbes&#x2019; communities.<sup><xref ref-type="bibr" rid="ref16">16</xref></sup> Similarly, the resistance towards colonies typically protects from intestinal infection, and this acts in the systemic immunity to reinforce microbial balance and maintain health.</p>
</sec>
<sec id="sec002-2">
<title>Role in Mucosal Immunity</title>
<p>Mucosal immunity is developed and regulated by the gut microbiome.<sup><xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref12">12</xref></sup> It plays a vital role in educating the immune system from early life, assisting in distinguishing between harmful pathogens and harmless antigens. Moreover, commensal microbes stimulate the production of immunoglobulin A (IgA), which binds to pathogens and reduces their adherence to the intestinal epithelium. They also impact the differentiation of the T-cell population, specifically regulatory T-cells, which are crucial in maintaining immune tolerance, and Th17 cells, which play a vital role in mucosal defense.<sup><xref ref-type="bibr" rid="ref4">4</xref></sup> Moreover, microbial metabolites like butyrate also increase the epithelial barrier function and effective immune reaction towards pathogens, and they avoid excessive inflammation that can lead to tissue damage.<sup><xref ref-type="bibr" rid="ref17">17</xref></sup> The disruption of the microbial signals because of factors like dietary or antibiotic changes can damage mucosal immunity, and it also increases susceptibility to GI and systemic infections, indicating the immunological importance of the microbiome.<sup><xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref6">6</xref></sup></p>
</sec>
<sec id="sec002-3">
<title>Dysbiosis and Increased Infection Risk</title>
<p>It was reported<sup><xref ref-type="bibr" rid="ref18">18</xref></sup> that dysbiosis is an imbalance in the function or composition of gut microbiota, closely associated with increased vulnerability to infectious disease. It usually involves reducing the beneficial microbial population, overgrowth of opportunistic pathogens, and a loss of microbial diversity.<sup><xref ref-type="bibr" rid="ref19">19</xref></sup> Such disruption directly weakens colonization resistance and damages mucosal immunity, allowing pathogens to attack more easily. Antibiotic-induced dysbiosis is a primary risk factor for <italic>C. difficile</italic> infection (CDI), where the absence of microbial competition allows pathogens to colonize and produce toxins.<sup><xref ref-type="bibr" rid="ref11">11</xref></sup> Furthermore, dysbiosis also impacts immune homeostasis, which leads to either suppressing the immune responses or chronic inflammation that creates a favorable condition for infections.<sup><xref ref-type="bibr" rid="ref20">20</xref></sup> In addition, microbial imbalance can also impact systemic immunity through gut-brain and gut-lung axes, thus contributing to neurological and respiratory infections.</p>
</sec>
</sec>
<sec id="sec003">
<title>Microbiome in Specific Infectious Diseases</title>
<sec id="sec003-1">
<title><italic>C. difficile</italic>, HIV, SARS-CoV-2, Norovirus</title>
<p>The primary role of the gut microbiome is to modulate host susceptibility, clinical outcomes, and immune responses in a wide range of infectious diseases. In the case of infectious pathogens, CDI is studied extensively about gut dysbiosis.<sup><xref ref-type="bibr" rid="ref21">21</xref></sup> In addition, CDI also raises the broader issue of antibiotic use that disrupts the commensal balance of microbes and minimizes resistance to colonization. It allows <italic>C.</italic> <italic>difficile</italic> spores to proliferate and germinate, producing toxins that lead to colitis and inflammation.<sup><xref ref-type="bibr" rid="ref22">22</xref></sup> Furthermore, clinical symptoms in these cases range from mild diarrhea to life-threatening pseudomembranous colitis. An effective treatment for recurrent CDI is FMT, as it restores the microbial diversity and competitive exclusion of pathogens.<sup><xref ref-type="bibr" rid="ref23">23</xref></sup> The successful treatment through FMT has highlighted the therapeutic potential of microbiome modulation.</p>
<p>On the other hand, in HIV infections, earlier changes are detected in the gut microbes, even before the immune decline.<sup><xref ref-type="bibr" rid="ref24">24</xref></sup> Gut-associated lymphoid tissue (GALT) by HIV led to compromised epithelial integrity and increased permeability of the intestine (<xref ref-type="fig" rid="F3">Figure 3</xref>). Such disruption also facilitates the translocation of microbes, allowing bacteria and their products to enter the bloodstream and trigger chronic systemic inflammation. Despite effective antiretroviral therapy, some individuals with HIV experience a changed gut microbiota characterized by a reduction in beneficial taxa (Lactobacillus and Bifidobacterium) and an increase in pro-inflammatory species (<italic>Prevotella</italic>).<sup><xref ref-type="bibr" rid="ref25">25</xref></sup> Such shifts are linked with immune activation, and this contributes towards non-AIDS-related comorbidities, including neurocognitive and cardiovascular disorders. The virus responsible for COVID-19, SARS-CoV-2, also shows a bidirectional interaction with the gut microbiome.<sup><xref ref-type="bibr" rid="ref26">26</xref></sup></p>
<fig id="F3" position="float">
<object-id pub-id-type="doi">10.70389/journal.pji.100007.g003</object-id>
<label>Fig 3</label>
<caption><title>Systemic outcomes of HIV infection in the GALT</title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/04/pji-25-989-Figure-3.jpg?">Figure 3</ext-link></p>
</fig>
<p>Researchers<sup><xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref></sup> have demonstrated that COVID-19 patients exhibit significant microbial alterations, including the enrichment of opportunistic pathogens such as <italic>Enterococcus</italic> and the depletion of <italic>Faecalibacterium</italic> <italic>prausnitzii</italic>.<sup><xref ref-type="bibr" rid="ref27">27</xref></sup> Such changes were correlated with the severity of disease, prolonged viral shedding, and systemic inflammation. Furthermore, SARS-CoV-2 also infects intestinal epithelial cells through ACE2 receptors, leading to gastrointestinal symptoms in a subset of patients.<sup><xref ref-type="bibr" rid="ref27">27</xref></sup> Furthermore, the extent of dysbiosis usually impacts the immune response and the recovery trajectory.</p>
<p>Viral gastroenteritis is commonly caused by norovirus as it interacts with gut microbiota during infections.<sup><xref ref-type="bibr" rid="ref28">28</xref></sup> In this action, commensal bacteria are observed to facilitate norovirus application that depends on the microbial context.<sup><xref ref-type="bibr" rid="ref29">29</xref></sup> A change in microbiota can impact viral infectivity as well as the shedding duration.</p>
</sec>
<sec id="sec003-2">
<title>Gut-Lung and Gut-Brain Axis</title>
<p>According to the report,<sup><xref ref-type="bibr" rid="ref30">30</xref></sup> the gut-lung and gut-brain axes are emerging areas where studies are focusing on the gut microbiota&#x2019;s influence on systemic infections and distant organs. Furthermore, the gut-lung axis is defined as a bidirectional communication between the GI tract and the respiratory system that is primarily facilitated by microbial metabolites, shared mucosal immunity, and immune signalling.<sup><xref ref-type="bibr" rid="ref31">31</xref></sup> The gut microbiota disruption can harm lung immunity and increase susceptibility to respiratory infections like COVID-19 and influenza. For example, SARS-CoV-2 patients with dysbiosis are associated with an exacerbation of systemic inflammation and pulmonary symptoms.<sup><xref ref-type="bibr" rid="ref27">27</xref></sup> Furthermore, probiotic interventions target the gut, and these are observed to be promising in increasing respiratory and immune defense.</p>
<p>Conversely, the gut-brain axis encompasses the complex neuroimmune interactions influenced by gut microbes.<sup><xref ref-type="bibr" rid="ref32">32</xref></sup> Metabolites derived from microbiota, like SCFAs and neurotransmitter-like molecules, can directly cross the blood-brain barrier or impact the vagus nerve, which directly influences health.<sup><xref ref-type="bibr" rid="ref33">33</xref></sup> In infections like HIV, gut dysbiosis leads to cognitive decline and neuroinflammation.<sup><xref ref-type="bibr" rid="ref24">24</xref></sup> Moreover, systemic inflammation caused by gut microbial imbalance can worsen neurological symptoms in long COVID or viral encephalitis.<sup><xref ref-type="bibr" rid="ref26">26</xref></sup> These axes identify the systemic actions of gut microbes beyond the intestine, indicating that keeping the microbial balance is important to protect against infections that affect neurological and respiratory symptoms.</p>
</sec>
</sec>
<sec id="sec004">
<title>Diagnostic Applications</title>
<sec id="sec004-1">
<title>Microbiome Biomarkers for Infection Risk</title>
<p>Microbiome biomarkers are becoming increasingly valuable tools for assessing the risk of infections, directly informing clinical decision-making.<sup><xref ref-type="bibr" rid="ref34">34</xref></sup> The diversity and composition of the gut microbiota can act as an early indicator of susceptibility to various infections. For example, in the case of reduced levels of Bacteroidetes and Firmicutes with increased presentation of proteobacteria, which is frequently linked with increased risk of infections like sepsis and <italic>C.</italic> <italic>difficile</italic>.<sup><xref ref-type="bibr" rid="ref35">35</xref></sup></p>
<p>Biomarkers derived from microbial metabolites such as SCFAs, bile acids, and tryptophan derivatives can also reflect immune status and mucosal integrity.<sup><xref ref-type="bibr" rid="ref36">36</xref></sup> Elevated or diminished concentrations of these metabolites may predict host vulnerability to both intestinal and systemic infections. Additionally, microbial gene expression profiles can offer functional insights into dysbiosis and immune dysfunction.<sup><xref ref-type="bibr" rid="ref37">37</xref></sup> Advancements in microbiome biomarker research are driving the development of predictive diagnostic panels that stratify patients by infection risk or likely treatment response.<sup><xref ref-type="bibr" rid="ref34">34</xref></sup> Such tools hold promises in hospital settings, where identifying at-risk patients early can inform antibiotic stewardship, infection control measures, and personalized interventions.<sup><xref ref-type="bibr" rid="ref37">37</xref></sup> However, challenges remain in standardizing biomarker thresholds and accounting for host-specific and environmental variability (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<object-id pub-id-type="doi">10.70389/journal.pji.100007.g004</object-id>
<label>Fig 4</label>
<caption><title>Clinical decision tree: guiding microbiome-based interventions in infectious diseases</title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/04/pji-25-989-Figure-4.jpg?">Figure 4</ext-link></p>
</fig>
</sec>
<sec id="sec004-2">
<title>Use of Metagenomics and Sequencing</title>
<p>Researchers<sup><xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref39">39</xref></sup> have indicated that metagenomics and next-generation sequencing (NGS) have transformed research related to the microbiome, enabling the culture-independent and comprehensive analysis of microbial communities. Such tools enable clinicians and researchers to identify and quantify thousands of microbial genes and species directly from clinical samples.<sup><xref ref-type="bibr" rid="ref38">38</xref></sup> Furthermore, shotgun metagenomics provides higher resolution data about microbial functional capacity and taxonomy that makes it irreplaceable to detect potential pathogens and dysbiosis, even present in lower amounts, and that is previously unknown.<sup><xref ref-type="bibr" rid="ref40">40</xref></sup> In the diagnosis of infectious diseases, metagenomics can reveal microbial signatures that predict susceptibility to infections and response to treatment. For example, sequencing the gut microbiome of immunocompromised patients can help detect opportunistic infections and antibiotic-resistant strains. Furthermore, longitudinal sequencing facilitates the monitoring of changes in the microbiome over time, providing insight into therapeutic effects and disease progression.</p>
<p>Similarly, NGS-based approaches also support the identification of microbial-derived metabolites and biomarkers associated with immune modulation and functional barriers.<sup><xref ref-type="bibr" rid="ref39">39</xref></sup> The advancements in bioinformatics are increasing the accuracy and speed of data interpretation, making it unique and accessible for clinical usage. On the other hand, complex data analysis, higher costs, and sequencing protocol variability reduce the widespread implementation.<sup><xref ref-type="bibr" rid="ref41">41</xref></sup> Even in the presence of such barriers, there is immense potential in the form of diagnostic tools for personalized infectious disease risk assessment and management.</p>
</sec>
</sec>
<sec id="sec005">
<title>Therapeutic Potential</title>
<sec id="sec005-1">
<title>FMT</title>
<p>According to the report,<sup><xref ref-type="bibr" rid="ref23">23</xref></sup> FMT assists in transferring processed stool from a healthy donor into the GI tract of the patient to restore the microbial balance. The technique is emerging as a highly effective therapy for recurrent CDI with a higher success rate in patients who are unresponsive to antibiotics.<sup><xref ref-type="bibr" rid="ref42">42</xref></sup> The treatment is dependent on the reintroduction of a functional and diverse microbial community that increases resistance to colonization, promotes mucosal healing, and suppresses pathogen overgrowth.<sup><xref ref-type="bibr" rid="ref23">23</xref></sup> For broader infectious applications, FMT is applied for reducing antibiotic-resistant infections and gut dysbiosis management in immunocompromised patients. FMT also has the potential to improve immune reconstitution in HIV and modulate gut-lung axis activity in respiratory infections.<sup><xref ref-type="bibr" rid="ref43">43</xref></sup></p>
<p>Despite its promise, FMT faces significant challenges, including standardization of donor screening, processing protocols, and long-term safety.<sup><xref ref-type="bibr" rid="ref44">44</xref></sup> Concerns over potential pathogen transmission and host-specific responses have led to increased interest in defined microbial consortia as alternatives to crude stool preparations. Nevertheless, FMT represents a paradigm shift in microbiome-targeted therapy, offering a novel, microbiota-based intervention for managing infectious diseases and promoting gut health in clinical settings.<sup><xref ref-type="bibr" rid="ref23">23</xref></sup></p>
</sec>
<sec id="sec005-2">
<title>Probiotics, Postbiotics, Engineered Bacteria</title>
<p>Probiotics, postbiotics, and engineered bacteria represent a growing class of microbiome-based interventions designed to prevent or treat infectious diseases by modulating gut microbial communities.<sup><xref ref-type="bibr" rid="ref45">45</xref></sup> Probiotics are live microorganisms that confer health benefits and are widely used to restore microbial balance following antibiotic treatment or GI infections. Specific strains, such as <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic>, have demonstrated efficacy in reducing the duration and severity of infections, including those caused by rotavirus and <italic>C.</italic> <italic>difficile</italic>, and enhancing mucosal immunity.<sup><xref ref-type="bibr" rid="ref46">46</xref></sup> Postbiotics, the bioactive compounds produced by probiotics (short-chain fatty acids, bacteriocins, and enzymes), offer therapeutic benefits without introducing live organisms, which is particularly advantageous for immunocompromised individuals.<sup><xref ref-type="bibr" rid="ref47">47</xref></sup> These compounds can modulate immune responses, reinforce gut barrier function, and inhibit pathogen colonization.</p>
<p>On the other hand, engineered bacteria are microbes that have been genetically modified to perform targeted therapeutic functions, such as delivering antimicrobial peptides, producing anti-inflammatory molecules, and sensing or neutralizing pathogens.<sup><xref ref-type="bibr" rid="ref48">48</xref></sup> One example is the synthetic <italic>Escherichia</italic> <italic>coli</italic> strains created to detect the killing of <italic>Pseudomonas aeruginosa</italic> in animal models. These approaches can collectively offer customizable, scalable, and safer alternatives for FMT. This requires further clinical trials to confirm efficacy, ensure safety, and optimize formulation, specifically regarding host-microbe interactions and long-term consequences.</p>
</sec>
</sec>
<sec id="sec006">
<title>Challenges and Future Directions</title>
<sec id="sec006-1">
<title>Safety, Personalization, Regulation</title>
<p>The clinical application of therapies targeting the microbiome is facing various challenges, including personalization, safety, and regulatory oversight. Safety concerns arise from adverse immune reactions, inadvertent pathogenic transmission, and horizontal gene transfer, particularly in treatments such as FMT.<sup><xref ref-type="bibr" rid="ref23">23</xref></sup> The donor screening protocols assist in mitigating such risks, but this requires standardization. Furthermore, personalization increases complexity as individual microbiomes are highly variable and impacted by genetics, environment, diet, and health status.<sup><xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref25">25</xref></sup> The treatments effective for one patient may not suit others. Furthermore, tailored interventions need robust predictive biomarkers and microbial profiling that are not fully developed. Regulatory frameworks are slowly evolving for microbiome therapeutics, as they lack a clear classification due to their position between biologics and drugs. Such regulatory ambiguity interrupts market approvals and clinical translation. To address these challenges, interdisciplinary collaborations are needed for safe, well-regulated, and individualized microbiome treatment.</p>
</sec>
<sec id="sec006-2">
<title>Long-Term Efficacy and Host-Specific Effects</title>
<p>Long-term efficacy and host-specific responses are significant challenges for microbiome-based interventions. However, various therapies, including FMT and probiotics, assist in short-term benefits, but their effects are usually uncertain.<sup><xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref44">44</xref></sup> Furthermore, recolonization can be temporary and restored, and the microbial communities can be disrupted again due to dietary factors, lifestyle changes, and additional treatments, such as the use of antibiotics. The host-specific factors, including immune status, age, genetics, and associated diseases, have a significant impact on the outcomes of treatment. On the other hand, probiotic strains are usually beneficial for one host; however, they may not have a similar effect on another host, or they may even become harmful to others due to differences in gut ecology and immune response.<sup><xref ref-type="bibr" rid="ref47">47</xref></sup></p>
<p>Moreover, the complexity of microbial interactions in the diverse ecosystem also makes it difficult to predict the long-term dynamics after interventions. It is essential to comprehend the configuration of beneficial microbiomes to achieve sustained therapeutic outcomes. Future research should focus on controlled trials, longitudinal studies, and systems biology approaches to uncover the factors that govern microbial resistance and compatibility with the host in the context of infection.</p>
</sec>
</sec>
<sec id="sec007" sec-type="conclusions">
<title>Conclusion</title>
<p>The gut microbiome regulates host immunity, influences susceptibility, and maintains mucosal integrity against a wide range of infectious diseases. Disrupting these compositions through diet, antibiotics, or illness can reduce colonization resistance and alter immune responses, thereby increasing the risk of infection. The current narrative review has highlighted particular pathogens, including HIV, <italic>C.</italic> <italic>difficile</italic>, norovirus, and SARS-CoV-2, that directly interact with the microbiome to shape outcomes and disease progression. Innovative methods are useful for predicting infection risk and tailored treatments. However, therapeutic interventions such as FMT, prebiotics, postbiotics, and engineered bacteria are more effective than complicated traditional treatments.</p>
</sec>
</body>
<back>
<fn-group>
<fn id="n1" fn-type="other">
<p>Additional material is published online only. To view please visit the journal online.</p>
<p><bold>Cite this as:</bold> Ahmed R. The Role of the Gut Microbiome in Infectious Diseases: Mechanisms, Diagnostics, and Therapeutic Potential. Premier Journal of Immunology 2025;4:100007</p>
<p><bold>DOI:</bold> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.70389/PJI.100007">https://doi.org/10.70389/PJI.100007</ext-link></p>
</fn>
<fn id="n2" fn-type="other">
<p><bold>Ethical approval</bold></p>
<p>N/a</p>
</fn>
<fn id="n3" fn-type="other">
<p><bold>Consent</bold></p>
<p>N/a</p>
</fn>
<fn id="n4" fn-type="other">
<p><bold>Funding</bold></p>
<p>No industry funding</p>
</fn>
<fn id="n5" fn-type="conflict">
<p><bold>Conflicts of interest</bold></p>
<p>N/a</p>
</fn>
<fn id="n6" fn-type="other">
<p><bold>Author contribution</bold></p>
<p>Riaz Ahmed &#x2013; Conceptualization, Writing &#x2013; original draft, review and editing</p>
</fn>
<fn id="n7" fn-type="other">
<p><bold>Guarantor</bold></p>
<p>Riaz Ahmed</p>
</fn>
<fn id="n8" fn-type="other">
<p><bold>Provenance and peer-review</bold></p>
<p>Unsolicited and externally peer-reviewed</p>
</fn>
<fn id="n9" fn-type="other">
<p><bold>Data availability statement</bold></p>
<p>N/a</p>
</fn>
</fn-group>
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