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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1737234</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Gut microbiota-metabolite interactions in drug-induced liver injury: mechanisms, biomarkers, and therapeutic perspectives</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Mao</surname><given-names>Xiaoya</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3264045/overview"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname><given-names>Xujiao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2754641/overview"/>
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<contrib contrib-type="author">
<name><surname>Fang</surname><given-names>Jingjing</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
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<aff id="aff1"><label>1</label><institution>Department of Pharmacy, The Affiliated People's Hospital of Ningbo University</institution>, <city>Ningbo</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Clinical Laboratory, The Affiliated People&#x2019;s Hospital of Ningbo University</institution>, <city>Ningbo</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Hepatobiliary Surgery, The Affiliated People&#x2019;s Hospital of Ningbo University</institution>, <city>Ningbo</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Xiaoya Mao, <email xlink:href="mailto:dishuiningsha@163.com">dishuiningsha@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-15">
<day>15</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1737234</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>24</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Mao, Hu and Fang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Mao, Hu and Fang</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-15">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Drug-induced liver injury (DILI) remains a major obstacle in clinical pharmacotherapy and a leading cause of acute liver failure and drug withdrawal worldwide. Conventional mechanistic models centered on hepatic xenobiotic metabolism, oxidative stress, and immune injury cannot fully account for the substantial interindividual variability and the unpredictable nature of idiosyncratic DILI. Increasing evidence shows that the gut microbiota and its metabolites critically shape hepatic susceptibility through modulation of drug metabolism, inflammatory signaling, and intestinal barrier integrity. This review summarizes current understanding of the gut&#x2013;liver axis in DILI pathogenesis, with a focus on microbial enzymes such as &#x3b2;-glucuronidase that reactivate detoxified drug conjugates, microbial dysbiosis that disrupts bile acid homeostasis, and depletion of short chain fatty acids and indole derivatives that normally support epithelial defenses and immunologic tolerance. Drug-specific microbial patterns are discussed, including acetaminophen, amoxicillin&#x2013;clavulanate, anti-tuberculosis regimens, and immune checkpoint inhibitors. We introduce the concept of metabotype-dependent hepatotoxicity, which emphasizes that individual microbial metabolic profiles influence DILI risk. Advances in metagenomics, metabolomics, and integrative multi-omics enable the identification of microbial biomarkers and functional pathways associated with DILI susceptibility. Emerging therapeutic strategies include restoration of microbial homeostasis, selective inhibition of microbial enzymes, and supplementation of hepatoprotective metabolites. Finally, we outline key challenges and future directions toward translating microbiome-based insights into clinical prediction and precision prevention of DILI. Importantly, this review integrates microbial metabolic functions with precision hepatology concepts, highlighting how metabotype-driven variability can be leveraged for individualized DILI risk assessment.</p>
</abstract>
<kwd-group>
<kwd>drug-induced liver injury</kwd>
<kwd>gut microbiota</kwd>
<kwd>microbial metabolites</kwd>
<kwd>gut-liver axis</kwd>
<kwd>precision hepatology</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="94"/>
<page-count count="13"/>
<word-count count="6236"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Intestinal Microbiome</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Drug-induced liver injury (DILI) remains a major public health concern and the leading cause of acute liver failure in Western countries (<xref ref-type="bibr" rid="B1">Andrade et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B6">Bj&#xf6;rnsson and Bj&#xf6;rnsson, 2022</xref>). It accounts for a substantial proportion of drug-related morbidity and mortality and is a frequent reason for clinical trial termination as well as post-marketing drug withdrawal (<xref ref-type="bibr" rid="B15">Devarbhavi et&#xa0;al., 2021</xref>). Despite its importance, diagnosis remains highly challenging because of its broad clinical spectrum and its tendency to mimic other hepatic disorders. Traditionally, DILI is divided into two categories according to its predictability (<xref ref-type="bibr" rid="B40">Kobayashi et&#xa0;al., 2023</xref>). Intrinsic DILI is dose-dependent, reproducible across individuals, and results from the direct toxic effects of certain compounds, such as high-dose acetaminophen (APAP) (<xref ref-type="bibr" rid="B71">Tiwari et&#xa0;al., 2025</xref>). In contrast, idiosyncratic DILI (I-DILI) is rare, unpredictable, and occurs at therapeutic doses. Its pathogenesis involves multifactorial interactions among host genetic susceptibility, immune reactivity, and environmental influences. I-DILI accounts for most severe and unexpected hepatic adverse reactions and continues to pose a major obstacle to safe drug development and clinical management (<xref ref-type="bibr" rid="B21">Fontana et&#xa0;al., 2023</xref>).</p>
<p>Traditional mechanistic frameworks for DILI have largely emphasized xenobiotic metabolism, oxidative stress, and direct immune-mediated hepatocellular damage (<xref ref-type="bibr" rid="B76">Villanueva-Paz et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B16">Di Zeo-S&#xe1;nchez et&#xa0;al., 2022</xref>). These classical models have provided essential insight into hepatic toxicology but fail to fully capture the pronounced interindividual variability and the low incidence of I-DILI among exposed populations. The central limitation arises from their focus on intrinsic hepatic processes, without adequately addressing the broader host-specific factors that shape susceptibility. Genetic screening, though valuable, has offered only partial explanatory power, underscoring the need for more comprehensive models that integrate metabolic, immunological, and environmental determinants of hepatic vulnerability (<xref ref-type="bibr" rid="B87">Yuan and Kaplowitz, 2013</xref>; <xref ref-type="bibr" rid="B69">Tasnim et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B45">Li et&#xa0;al., 2023</xref>).</p>
<p>The human gut microbiota, a highly complex and adaptable ecosystem comprising trillions of microorganisms, serves as a functional &#x201c;second genome&#x201d; that exerts profound influence over host physiology, immune regulation, and drug metabolism (<xref ref-type="bibr" rid="B80">Wu et&#xa0;al., 2024</xref>). This microbial consortium harbors an extensive enzymatic repertoire that complements and often surpasses hepatic Phase I and Phase II metabolic processes, thereby reshaping drug pharmacokinetics and bioavailability (<xref ref-type="bibr" rid="B83">Xiang et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B52">Martinelli and Thiele, 2024</xref>; <xref ref-type="bibr" rid="B37">Kaur et&#xa0;al., 2025</xref>). The collective metabolic activity of the microbiota, referred to as the microbial metabolome, functions as a pivotal communication axis that modulates innate immune signaling, inflammatory tone, and intestinal barrier homeostasis (<xref ref-type="bibr" rid="B26">Gasaly et&#xa0;al., 2021</xref>). Disturbances in this microbial network and its metabolite output can markedly shift the host&#x2019;s susceptibility to DILI, transforming microbial composition and metabolic activity into critical determinants of hepatotoxic risk (<xref ref-type="bibr" rid="B34">Huang et&#xa0;al., 2024</xref>).</p>
<p>The gut ecosystem can fundamentally modulate drug toxicity, necessitating a comprehensive re-evaluation of DILI pathogenesis from an ecological perspective (<xref ref-type="bibr" rid="B10">Chen et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B21">Fontana et&#xa0;al., 2023</xref>). The unpredictable nature of I-DILI, characterized by its low incidence and interindividual variability, may become more explicable if the activity of key microbial enzymes or the abundance of specific microbial co-factors can be quantified and shown to remain stable within an individual&#x2019;s metabolic phenotype, or metabotype (<xref ref-type="bibr" rid="B94">Zimmermann et&#xa0;al., 2019</xref>). When microbial metabolism produces measurable hepatotoxic co-factors such as lipopolysaccharide (LPS) (<xref ref-type="bibr" rid="B23">Fu et&#xa0;al., 2024</xref>), or alters drug toxicity through enzymes like &#x3b2;-glucuronidase (<xref ref-type="bibr" rid="B91">Zeng et&#xa0;al., 2023</xref>), these functional microbial features transform DILI risk assessment from a probabilistic event into a measurable biochemical parameter. In this context, susceptibility to I-DILI may be viewed as a quasi-intrinsic property shaped by the host-microbiota metabolic interface.</p>
<p>This review consolidates emerging scientific evidence elucidating the bidirectional communication between gut microbial dysbiosis, metabolite perturbations, and susceptibility to DILI along the gut-liver axis. Its central aim is to integrate current understanding of microbial-metabolite-host interactions to clarify the concept of metabotype-dependent hepatotoxicity and its mechanistic implications. By mapping these interconnected pathways, the review highlights how individual microbial and metabolic profiles can influence hepatic responses to xenobiotics, thereby paving the way for precision biomarkers and microbiota-targeted therapeutic interventions to predict, prevent, and manage DILI with greater accuracy.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>The gut-liver axis in health and drug response</title>
<sec id="s2_1">
<label>2.1</label>
<title>Anatomical and physiological interdependence</title>
<p>The liver and intestine are closely connected through an integrated anatomical, metabolic, and immunological network known as the gut-liver axis. This axis is primarily established through the portal venous circulation, which channels blood from the small and large intestines carrying nutrients, xenobiotics, and microbial products directly to the liver (<xref ref-type="bibr" rid="B55">Pabst et&#xa0;al., 2023</xref>). This unique arrangement places the liver as the first organ exposed to both beneficial microbial metabolites such as short chain fatty acids (SCFAs) and potentially harmful substances including bacterial components and unconjugated drug metabolites (<xref ref-type="bibr" rid="B72">Tripathi et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B70">Tilg et&#xa0;al., 2022</xref>). Functioning as a metabolic and immune barrier, the liver performs essential roles in detoxification, biotransformation, and clearance, thereby preserving systemic homeostasis and maintaining equilibrium between immune tolerance and host defense in response to gut derived signals (<xref ref-type="bibr" rid="B41">Kubes and Jenne, 2018</xref>).</p>
<p>The enterohepatic circulation of bile acids (BAs) represents one of the most tightly regulated and essential forms of metabolic cooperation between the host and the gut microbiota (<xref ref-type="bibr" rid="B29">Gr&#xfc;ner and Mattner, 2021</xref>; <xref ref-type="bibr" rid="B42">Li et&#xa0;al., 2024a</xref>). The liver synthesizes primary BAs and conjugates them with taurine or glycine to facilitate lipid digestion. When these conjugated BAs reach the intestine, commensal bacteria expressing bile salt hydrolase enzymes catalyze their deconjugation, producing secondary BAs such as deoxycholic acid and lithocholic acid. These secondary BAs are subsequently reabsorbed and transported back to the liver through the portal circulation (<xref ref-type="bibr" rid="B74">Urdaneta and Casades&#xfa;s, 2017</xref>; <xref ref-type="bibr" rid="B17">Duszka, 2022</xref>). This continuous cycle plays a crucial role in maintaining hepatic metabolic balance through the activation of nuclear and membrane receptors, particularly the Farnesoid X receptor (FXR) and the Takeda G-protein coupled receptor 5 (TGR5), which collectively regulate BA synthesis, lipid metabolism, and inflammatory responses within the gut-liver axis (<xref ref-type="bibr" rid="B12">Chiang and Ferrell, 2020</xref>; <xref ref-type="bibr" rid="B47">Lin et&#xa0;al., 2025</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Microbial influence on host pharmacokinetics</title>
<p>The ability of the gut microbiome to shape drug exposure kinetics, often referred to as the second genome governing pharmacokinetics, is central to understanding individual susceptibility to DILI. This regulatory capacity is exerted primarily through two interconnected biochemical pathways involving microbial enzymatic activity and transcriptional modulation of host xenobiotic receptors (<xref ref-type="bibr" rid="B73">Tsunoda et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B8">Burke and Li, 2025</xref>).</p>
<p>Microbial enzymes, particularly &#x3b2;-glucuronidase, interfere with host detoxification processes. During Phase II metabolism, the liver inactivates drugs or their toxic intermediates by conjugating them with glucuronic acid. When these glucuronide conjugates enter the colon, bacterial &#x3b2;-glucuronidase enzymes cleave the conjugation bond, regenerating the parent compound or an active metabolite that may exert hepatotoxic effects (<xref ref-type="bibr" rid="B24">Gao et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B33">Hillege et&#xa0;al., 2024</xref>). This reaction facilitates enterohepatic recycling, extends systemic drug exposure, and increases hepatic toxic burden, thereby altering both the effective dose and exposure duration within an individual.</p>
<p>In parallel, microbial metabolites serve as potent ligands for host nuclear receptors that regulate hepatic drug-metabolizing enzymes (<xref ref-type="bibr" rid="B58">Prakash et&#xa0;al., 2015</xref>). Indole derivatives produced from bacterial tryptophan metabolism, for instance, activate the aryl hydrocarbon receptor (AhR) and the pregnane X receptor (PXR), which in turn modulate the expression of cytochrome P450 enzymes such as CYP3A4 and efflux transporters such as MDR1 (<xref ref-type="bibr" rid="B67">Sun et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B77">Vyhl&#xed;dalov&#xe1;, 2022</xref>; <xref ref-type="bibr" rid="B31">Haduch et&#xa0;al., 2023</xref>). Through these transcriptional networks, the microbiome indirectly governs hepatic detoxification capacity and influences overall drug handling. Consequently, personalized assessment of DILI risk requires functional metagenomic profiling of microbial enzymatic potential, including quantification of &#x3b2;-glucuronidase gene abundance, to capture the true microbial contribution to hepatotoxic susceptibility.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>DILI pathogenesis: the dysbiosis-barrier failure-inflammation cascade</title>
<p>When DILI develops, the physiological harmony between the gut and the liver deteriorates, giving way to a pathological state (<xref ref-type="bibr" rid="B34">Huang et&#xa0;al., 2024</xref>). Exposure to certain drugs, particularly antibiotics such as amoxicillin-clavulanate, can trigger profound microbial dysbiosis characterized by the depletion of protective commensal species, including SCFA producers, and the overgrowth of opportunistic or pathogenic bacteria (<xref ref-type="bibr" rid="B38">Kesavelu and Jog, 2023</xref>). This ecological imbalance compromises intestinal barrier integrity and alters gut metabolic output.</p>
<p>Under healthy conditions, SCFAs are essential and serve as the principal energy source for colonocytes and play a crucial role in preserving the structure and function of tight junctions (<xref ref-type="bibr" rid="B89">Yue et&#xa0;al., 2022</xref>). Their depletion weakens mucosal defenses and increases intestinal permeability, a phenomenon often referred to as leaky gut (<xref ref-type="bibr" rid="B9">Camilleri, 2019</xref>). The disrupted barrier permits the translocation of microbial components, particularly LPS, a potent pathogen-associated molecular pattern derived from the outer membrane of Gram-negative bacteria such as Proteobacteria. These translocated microbial molecules enter the portal vein and reach the liver, where they activate Kupffer cells through the Toll-like receptor 4 (TLR4) signaling pathway (<xref ref-type="bibr" rid="B66">Sperandeo et&#xa0;al., 2017</xref>).</p>
<p>Activation of this pathway initiates the MyD88 and NF-&#x3ba;B cascade, leading to the production and release of proinflammatory cytokines including TNF-&#x3b1;, IL-1&#x3b2;, and IL-6 (<xref ref-type="bibr" rid="B30">Guijarro-Mu&#xf1;oz et&#xa0;al., 2014</xref>). The resulting inflammatory storm promotes oxidative stress, mitochondrial injury, and hepatocyte necrosis, which are key events in the progression of DILI (<xref ref-type="bibr" rid="B1">Andrade et&#xa0;al., 2019</xref>). In this context, the gut microbiota may contribute to hepatotoxicity, providing inflammatory co-factors such as LPS that lower the hepatic threshold for drug-induced cellular injury (<xref ref-type="bibr" rid="B34">Huang et&#xa0;al., 2024</xref>).</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Gut microbiota alterations in DILI: clinical and preclinical evidence</title>
<p>DILI is consistently linked to characteristic patterns of microbial dysbiosis, with the specific alterations in gut microbial composition varying according to the pharmacological agent responsible (<xref ref-type="bibr" rid="B22">Fu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B14">Chu et&#xa0;al., 2023</xref>). These drug-specific microbial signatures suggest that distinct classes of compounds exert selective pressure on the intestinal ecosystem, shaping the abundance and metabolic activity of key bacterial taxa. Understanding these differential dysbiotic patterns provides crucial insight into how individual drugs interact with the gut microbiome to influence hepatic vulnerability and the overall trajectory of liver injury.</p>
<sec id="s3_1">
<label>3.1</label>
<title>General microbial shifts and clinical evidence</title>
<p>Both human clinical observations and preclinical animal studies of DILI reveal consistent alterations in gut microbial composition. These changes include a decline in microbial diversity, reflected by reduced alpha diversity, and by significant restructuring of community composition across subjects, reflected by altered beta diversity (<xref ref-type="bibr" rid="B14">Chu et&#xa0;al., 2023</xref>). A recurrent feature of this dysbiosis is a reduction in the Firmicutes-to-Bacteroidetes ratio, accompanied by an overrepresentation of Gram-negative bacteria, particularly members of the phylum Proteobacteria (<xref ref-type="bibr" rid="B14">Chu et&#xa0;al., 2023</xref>). This enrichment is of particular pathophysiological importance because Proteobacteria constitute the principal source of endotoxin, or LPS. The elevated presence of LPS producing taxa enhances activation of the TLR4 pathway in the liver, amplifying inflammatory responses and lowering the threshold for hepatocellular injury following drug exposure.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Drug-specific mechanistic links</title>
<p>The gut microbiome exerts a dual influence on DILI, functioning both as a mediator of detoxification and as a contributor to hepatotoxicity. This bidirectional role underscores that therapeutic strategies for DILI cannot rely on a uniform approach (<xref ref-type="bibr" rid="B53">Mi et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B14">Chu et&#xa0;al., 2023</xref>). Precision medicine must instead determine whether intervention should focus on inhibiting harmful microbial activities or restoring beneficial ones that have been disrupted. Defining this balance is essential for effective management, as different pharmacological agents engage distinct microbiome-dependent pathways that either mitigate or exacerbate hepatic injury. The contrasting mechanisms observed with several high-risk drugs exemplify this complexity and highlight the need for tailored microbiome-targeted interventions in DILI prevention and therapy (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Drug-specific DILI mechanisms and microbial contributions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Hepatotoxic drug class</th>
<th valign="middle" align="center">Observed microbiota alteration/key enzyme</th>
<th valign="middle" align="center">Primary mechanistic link to DILI</th>
<th valign="middle" align="center">Pathway regulation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Acetaminophen</td>
<td valign="middle" align="center">Increased microbial &#x3b2;-glucuronidase activity</td>
<td valign="middle" align="center">Enhanced enterohepatic recirculation of toxic metabolites; Oxidative Stress</td>
<td valign="middle" align="center">ROS/Nrf modulation</td>
</tr>
<tr>
<td valign="middle" align="center">Amoxicillin-clavulanate</td>
<td valign="middle" align="center">General dysbiosis; Probiotic depletion</td>
<td valign="middle" align="center">Innate immune activation; Intestinal barrier disruption</td>
<td valign="middle" align="center">NF-&#x3ba;B/Immune Signaling</td>
</tr>
<tr>
<td valign="middle" align="center">Anti-tuberculosis drugs</td>
<td valign="middle" align="center">Dysbiosis (e.g., decreased Bacteroides fragilis 839)</td>
<td valign="middle" align="center">LPS translocation; Amplified inflammation</td>
<td valign="middle" align="center">LPS/TLR/NF-&#x3ba;B pathway activation</td>
</tr>
<tr>
<td valign="middle" align="center">Immune checkpoint inhibitors</td>
<td valign="middle" align="center">Specific pre-treatment taxonomic signatures</td>
<td valign="middle" align="center">Altered T-cell responses; Systemic immune dysregulation</td>
<td valign="middle" align="center">Immune checkpoint modulation</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>APAP-DILI</title>
<p>APAP overdose remains the most common cause of acute liver failure worldwide (<xref ref-type="bibr" rid="B7">Bunchorntavakul and Reddy, 2018</xref>; <xref ref-type="bibr" rid="B50">Liu et&#xa0;al., 2024</xref>). The extent of its hepatotoxicity is strongly modulated by gut microbial enzymatic activity (<xref ref-type="bibr" rid="B79">Wu et&#xa0;al., 2025</xref>). Following hepatic detoxification, APAP is conjugated to form a glucuronide metabolite, which is normally non-toxic and excreted through bile or urine. However, when this conjugated metabolite reaches the intestine, certain commensal bacteria, including specific strains of Clostridium perfringens, produce &#x3b2;-glucuronidase enzymes that hydrolyze the glucuronic acid bond (<xref ref-type="bibr" rid="B61">Sakaguchi et&#xa0;al., 1983</xref>). This reaction regenerates the parent compound or a reactive intermediate that re-enters the circulation, thereby promoting enterohepatic recirculation and prolonging hepatic exposure to the toxic metabolite (<xref ref-type="bibr" rid="B88">Yue et&#xa0;al., 2021</xref>). The extended exposure heightens oxidative stress and significantly exacerbates hepatocellular injury.</p>
<p>In contrast, some microbial activities exert protective effects against APAP toxicity. For instance, bacterial &#x3b2;-galactosidases can release metabolites such as daidzein, which has been shown to mitigate APAP-induced liver injury in experimental models. These opposing actions highlight the intricate balance of microbial influences on xenobiotic metabolism, illustrating how the gut microbiota can act as both a risk amplifier and a protective modulator in drug-induced hepatotoxicity (<xref ref-type="bibr" rid="B91">Zeng et&#xa0;al., 2023</xref>).</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Amoxicillin-clavulanate-DILI</title>
<p>AC is the antibiotic most frequently associated with DILI worldwide and is often classified with high causality scores (<xref ref-type="bibr" rid="B59">Rom&#xe1;n-Sag&#xfc;illo et&#xa0;al., 2024</xref>). Its hepatotoxic potential may be associated with its capacity to disrupt the gut microbial ecosystem. By broadly suppressing commensal and probiotic species, AC induces marked dysbiosis that diminishes the abundance of key SCFA producing bacteria. The resulting depletion of metabolites such as butyrate undermines intestinal barrier integrity and weakens mucosal defense.</p>
<p>As the barrier becomes compromised, microbial antigens and pathogen-associated molecular patterns, including LPS, can translocate into the portal circulation. Their arrival in the liver stimulates innate immune activation and inflammatory signaling, leading to hepatocellular stress and cytotoxic injury. Thus, AC exemplifies a model of DILI in which loss of microbial protective functions, rather than the gain of toxic activity, drives hepatic vulnerability through gut barrier dysfunction and immune mediated hepatotoxicity (<xref ref-type="bibr" rid="B27">Ghosh et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Anti-tuberculosis-DILI</title>
<p>ATB-DILI, most commonly arising from multidrug regimens containing isoniazid and rifampicin (HRZE), remains a major limitation to effective tuberculosis therapy. Its pathogenesis is closely associated with intestinal barrier disruption and activation of the gut-liver inflammatory axis (<xref ref-type="bibr" rid="B44">Li et&#xa0;al., 2025</xref>). Experimental studies have established the LPS-TLR4 pathway as a key driver of this process.</p>
<p>In preclinical models, administration of the probiotic strain Bacteroides fragilis 839 markedly alleviated HRZE-induced hepatotoxicity (<xref ref-type="bibr" rid="B44">Li et&#xa0;al., 2025</xref>). The protective effect was primarily mediated by restoration of microbial homeostasis and reinforcement of intestinal barrier integrity, which together led to a substantial reduction in circulating LPS concentrations. Lower LPS exposure attenuated hepatic activation of the TLR4-MyD88-NF-&#x3ba;B signaling cascade and consequently reduced the production of pro-inflammatory cytokines such as TNF-&#x3b1; and IL-6 (<xref ref-type="bibr" rid="B28">Gong et&#xa0;al., 2022</xref>). These findings underscore the pivotal role of the gut barrier in maintaining hepatic immune quiescence and highlight the therapeutic potential of microbiota-targeted interventions in mitigating inflammatory forms of DILI.</p>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>Immune checkpoint inhibitors-DILI</title>
<p>ICIs have transformed the treatment landscape for cancer but are frequently accompanied by immune-related adverse events, including ICI-DILI (<xref ref-type="bibr" rid="B82">Xiang et&#xa0;al., 2022</xref>). The gut microbiome has emerged as a crucial determinant of both susceptibility and clinical outcome in these toxicities. Distinct microbial patterns have been associated with ICI-related hepatotoxicity, characterized by a marked depletion of beneficial SCFA producing taxa such as Lachnospiraceae, Ruminococcaceae, and Agathobacter (<xref ref-type="bibr" rid="B5">Biddle et&#xa0;al., 2013</xref>). The loss of these commensal bacteria reduces SCFA availability, weakens mucosal immune tolerance, and promotes dysregulated T cell activation, thereby amplifying hepatic immune injury. Accurate identification of these predictive microbial and metabolic biomarkers requires high-resolution sequencing approaches, with whole genome shotgun metagenomics providing greater functional and taxonomic precision than conventional 16S rRNA profiling (<xref ref-type="bibr" rid="B90">Zaplana et&#xa0;al., 2024</xref>).</p>
<p>Taken together, the divergent mechanisms observed across these drug classes highlight the dual microbial contribution to DILI pathogenesis. Hepatotoxicity may arise either from the amplification of harmful microbial functions, such as &#x3b2;-glucuronidase activity in APAP toxicity, or from the depletion of protective functions, including SCFA generation in antibiotic- and ICI-associated DILI and barrier maintenance in anti-tuberculosis DILI. Understanding this balance between detrimental and protective microbial processes is fundamental to developing targeted microbiome-based strategies for DILI prevention and management.</p>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Microbial metabolites as mediators of DILI</title>
<p>Microbial metabolites serve as the functional currency of the gut-liver axis, operating as key signaling mediators that can either confer systemic protection or intensify hepatotoxic responses (<xref ref-type="bibr" rid="B57">Pan et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B68">Tarantino et&#xa0;al., 2025</xref>). The susceptibility to DILI is closely influenced by the gut microbiota&#x2019;s capacity to produce these bioactive compounds in adequate quantities. These metabolites act as molecular regulators that engage host metabolic and immune pathways, functioning as metabolic switchboards that fine-tune hepatic defense, detoxification, and inflammatory signaling (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Thus, the balance between protective and pathogenic microbial metabolite production represents a decisive factor governing individual vulnerability to DILI (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Key microbial metabolites and their role in DILI protection/toxicity.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Metabolite class</th>
<th valign="middle" align="center">Microbial precursor/source</th>
<th valign="middle" align="center">Host receptor/target</th>
<th valign="middle" align="center">Functional role in DILI</th>
<th valign="middle" align="center">Outcome</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">SCFAs</td>
<td valign="middle" align="center">Dietary fiber (Fermentation)</td>
<td valign="middle" align="center">GPR41/43; HDACs</td>
<td valign="middle" align="center">Anti-inflammatory action; <break/>Upregulation of antioxidant defense</td>
<td valign="middle" align="center">Protection</td>
</tr>
<tr>
<td valign="middle" align="center">Secondary BAs</td>
<td valign="middle" align="center">Primary bile acids (Deconjugation)</td>
<td valign="middle" align="center">FXR; TGR5</td>
<td valign="middle" align="center">Regulate hepatic metabolism; <break/>Modulate inflammation <break/>(NLRP3 inflammasome)</td>
<td valign="middle" align="center">Protection/toxicity depending on profile</td>
</tr>
<tr>
<td valign="middle" align="center">Indole derivatives</td>
<td valign="middle" align="center">Tryptophan</td>
<td valign="middle" align="center">AhR</td>
<td valign="middle" align="center">Activation of Phase I/II detoxification enzymes; Barrier stabilization</td>
<td valign="middle" align="center">Protection</td>
</tr>
<tr>
<td valign="middle" align="center">LPS</td>
<td valign="middle" align="center">Gram-negative bacteria</td>
<td valign="middle" align="center">TLR4</td>
<td valign="middle" align="center">Activation of Kupfer cells; Release of pro-inflammatory cytokines</td>
<td valign="middle" align="center">Toxicity</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Microbiota-derived metabolites and their regulatory effects on drug-induced liver injury. SCFAs (acetate, propionate, butyrate) support energy metabolism, immune balance, and epithelial defense via GPR41/43. Bile acids modulate hepatic and intestinal signaling through FXR-FGF15/19 and TGR5. Indole derivatives (e.g., indole-3-propionate, indole-3-acetate) activate AhR/PXR to enhance antioxidant responses and barrier integrity. In contrast, pro-toxicants such as LPS, ethanol, and p-cresol activate TLR4-mediated inflammation, increasing susceptibility to DILI.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1737234-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating the roles of SCFAs, BAs, indole derivatives, and pro-toxicants. SCFAs include acetate, propionate, and butyrate, impacting energy metabolism, immune equilibrium, and redox homeostasis. BAs influence FXR and TGR5 pathways, affecting BA synthesis, anti-inflammatory signaling, and glucagon-like peptide release. Indole derivatives, such as indole-3-propionate, activate AhR and PXR, contributing to antioxidant responses and epithelial integrity. Pro-toxicants like LPS, ethanol, and p-cresol are indicated to affect cell pathways.</alt-text>
</graphic></fig>
<sec id="s4_1">
<label>4.1</label>
<title>SCFAs</title>
<p>SCFAs, principally acetate, propionate, and butyrate, are produced through the fermentation of dietary fiber by anaerobic gut bacteria. They play essential roles in regulating host energy metabolism, maintaining immune equilibrium, and preserving redox homeostasis (<xref ref-type="bibr" rid="B43">Li et&#xa0;al., 2024b</xref>). A consistent feature of DILI-associated dysbiosis is the marked reduction in SCFA production, reflecting the loss of beneficial microbial functions.</p>
<p>The hepatoprotective effects of SCFAs operate through multiple mechanisms. Butyrate, the primary energy substrate for colonocytes, reinforces intestinal epithelial tight junctions and strengthens the mucosal barrier, thereby limiting the passage of endotoxins into the portal circulation (<xref ref-type="bibr" rid="B84">Yan and Ajuwon, 2017</xref>). In addition to their structural role, SCFAs act as bioactive signaling molecules by activating G protein-coupled receptors GPR41 and GPR43 and by inhibiting histone deacetylases (<xref ref-type="bibr" rid="B39">Kim et&#xa0;al., 2013</xref>). These pathways influence immune cell differentiation, enhance the generation of regulatory T cells, and suppress proinflammatory signaling cascades. Through these combined effects, SCFAs help to stabilize the gut-liver interface and mitigate immune-mediated injury, underscoring their central importance in protecting against DILI (<xref ref-type="bibr" rid="B75">Verma et&#xa0;al., 2024</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>BAs and nuclear receptor signaling</title>
<p>The BA pool is continuously reshaped by the gut microbiota, exerting wide-ranging effects on host metabolic and immune signaling. Microbial bile salt hydrolase activity plays a decisive role in determining the concentration and composition of secondary BAs, which act as potent ligands for two major host receptors, FXR and TGR5 (<xref ref-type="bibr" rid="B12">Chiang and Ferrell, 2020</xref>; <xref ref-type="bibr" rid="B65">Song et&#xa0;al., 2025</xref>).</p>
<p>FXR is abundantly expressed in both the liver and intestine and serves as a central regulator of BA synthesis. When activated by BAs in the intestine, FXR induces the production of fibroblast growth factor 15 in mice or fibroblast growth factor 19 in humans. This hormone acts on the liver to suppress BA synthesis, thereby preventing the accumulation of toxic intermediates. Microbial transformations that generate secondary BAs capable of antagonizing FXR signaling, including tauro-&#x3b2;-muricholic acid, can disrupt this feedback mechanism, leading to dysregulated BA homeostasis and heightened susceptibility to drug-induced hepatotoxicity (<xref ref-type="bibr" rid="B13">Chiang et&#xa0;al., 2017</xref>).</p>
<p>In contrast, TGR5 is expressed on hepatic immune cells, including Kupffer cells, and on enteroendocrine L cells in the gut. Activation of this receptor by BAs promotes anti-inflammatory signaling within the liver and stimulates the release of glucagon like peptide 1, contributing to metabolic stability. Dysbiosis induced alterations in the BA profile weaken these protective signaling pathways and diminish hepatic resilience to toxic drug exposure, reinforcing the pivotal role of the microbiome in maintaining BA mediated liver protection (<xref ref-type="bibr" rid="B13">Chiang et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B4">Beaudoin et&#xa0;al., 2023</xref>).</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Indole derivatives: detoxification boosters via tryptophan metabolism</title>
<p>Indole derivatives, including indole-3-propionate (IPA), indole-3-acetate, and indole-3-aldehyde, are key metabolites derived from the bacterial metabolism of dietary tryptophan (<xref ref-type="bibr" rid="B35">Hubbard et&#xa0;al., 2015</xref>). These compounds function as potent ligands for host nuclear receptors such as AhR and PXR. Activation of these receptors enhances the host&#x2019;s intrinsic defense capacity by promoting antioxidant responses, strengthening epithelial barrier integrity, and regulating xenobiotic metabolism. Through these coordinated actions, indole derivatives establish a crucial microbiota-driven signaling pathway that protects the liver from oxidative stress and inflammation, thereby reducing susceptibility to drug-induced injury.</p>
<sec id="s4_3_1">
<label>4.3.1</label>
<title>AhR activation</title>
<p>Indole metabolites act as well-characterized agonists of the AhR, a pivotal transcription factor in maintaining intestinal and hepatic immune balance (<xref ref-type="bibr" rid="B35">Hubbard et&#xa0;al., 2015</xref>). Activation of AhR by indole compounds plays an essential role in preserving mucosal integrity by stimulating epithelial cell renewal and promoting goblet cell differentiation, which reinforces the protective mucus barrier. Equally important, AhR signaling induces the production of the anti-inflammatory cytokine IL-10 in immune cells, thereby limiting excessive immune activation within the gut lamina propria and preventing systemic inflammatory spillover that contributes to DILI (<xref ref-type="bibr" rid="B93">Zhu et&#xa0;al., 2018</xref>). In addition to its immunomodulatory effects, AhR activation enhances the transcription of host detoxification enzymes such as Cyp1a1, strengthening hepatic xenobiotic defense and mitigating oxidative stress. Together, these mechanisms highlight the central role of microbiota-derived indoles in sustaining gut-liver immune homeostasis and reducing susceptibility to hepatotoxic insults.</p>
</sec>
<sec id="s4_3_2">
<label>4.3.2</label>
<title>PXR activation</title>
<p>IPA functions as a key microbial ligand for the PXR (<xref ref-type="bibr" rid="B18">Dutta et&#xa0;al., 2022</xref>), a central regulator of xenobiotic metabolism and intestinal barrier integrity (<xref ref-type="bibr" rid="B19">Dvo&#x159;&#xe1;k et&#xa0;al., 2020</xref>). Activation of PXR by IPA induces the expression of major detoxification and efflux genes, including CYP3A4 and MDR1, thereby enhancing the metabolic and excretory capacity of both the liver and the intestinal epithelium. Through these coordinated actions, IPA strengthens the host&#x2019;s ability to eliminate potentially harmful compounds and maintain mucosal defense. In addition to its metabolic role, IPA exerts potent anti-inflammatory effects by downregulating the expression of enterocyte-derived cytokines and suppressing activation of the NF-&#x3ba;B pathway. This modulation reduces endotoxin translocation and mitigates systemic inflammation, highlighting IPA as a key microbiota-derived metabolite that reinforces gut&#x2013;liver homeostasis and protects against drug-induced hepatic injury.</p>
</sec>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Microbiome-derived pro-toxicants and the metabotype</title>
<p>The harmful effects of the gut microbiome in DILI arise mainly from the production and translocation of proinflammatory microbial compounds. Among these, LPS is the best characterized toxin that activates hepatic TLR4 signaling and induces acute inflammatory responses (<xref ref-type="bibr" rid="B64">Soares and Pimentel-Nunes, 2010</xref>; <xref ref-type="bibr" rid="B11">Chen et&#xa0;al., 2021</xref>). High circulating levels of LPS reflect a toxic metabolic state associated with immune activation and hepatic stress. Other microbial metabolites, such as ethanol and p-cresol, can also aggravate oxidative damage and contribute to mitochondrial dysfunction, thereby amplifying hepatic injury (<xref ref-type="bibr" rid="B34">Huang et&#xa0;al., 2024</xref>).</p>
<p>These mechanisms may underlie metabotype-dependent hepatotoxicity, which proposes that DILI risk is determined by an individual&#x2019;s prevailing metabolic environment, referred to as the metabotype (<xref ref-type="bibr" rid="B36">Iruzubieta et&#xa0;al., 2015</xref>). A high risk metabotype is defined by low concentrations of protective metabolites such as SCFAs, indole derivatives, and BAs that activate the FXR, together with elevated levels of proinflammatory microbial products such as LPS and increased &#x3b2;-glucuronidase activity. Understanding and quantifying this metabolite profile provides a molecular framework for explaining the wide variability in idiosyncratic DILI susceptibility and offers a path toward individualized prediction of hepatotoxic risk.</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Diagnostic and therapeutic implications</title>
<p>Recognizing the gut microbiota and its metabolome as central regulators of hepatic response opens promising opportunities for advancing the diagnosis and treatment of DILI (<xref ref-type="bibr" rid="B54">Niu and Chen, 2020</xref>). This understanding establishes a foundation for developing next-generation diagnostic tools capable of identifying individuals at heightened risk through functional microbial and metabolic profiling (<xref ref-type="bibr" rid="B60">Roth et&#xa0;al., 2020</xref>). It also supports the design of precision therapeutic strategies that modulate specific microbial pathways or restore beneficial metabolites to strengthen hepatic resilience and prevent toxicity (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Microbiome-based diagnostic strategies and therapeutic interventions for drug-induced liver injury. Biomarker development integrates metabolites, microbial enzymes (e.g., &#x3b2;-glucuronidase), and multi-omics profiling. Therapeutic approaches include non-targeted ecological restoration (probiotics, synbiotics, FMT), selective inhibition of microbial enzymes, and targeting host receptors such as FXR, TGR5, or using indole-derived IPA mimetics. Together, these strategies highlight the translational potential of microbiome-guided precision hepatology.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1737234-g002.tif">
<alt-text content-type="machine-generated">Infographic illustrating diagnostic and therapeutic implications related to the microbiome. Central section shows a liver. Surrounding areas depict microbiome-based biomarkers, targeting microbial enzyme activity, targeting host receptors, and non-targeted ecological restoration. Icons represent metabolites, critical enzymes, multi-omics, &#x3b2;-glucuronidase inhibition, probiotics, fecal microbiota transplantation, receptor activation, and synthetic analogs.</alt-text>
</graphic></fig>
<sec id="s5_1">
<label>5.1</label>
<title>Microbiome-based biomarkers for personalized prediction</title>
<p>Current approaches to diagnosing DILI rely largely on exclusion and conventional biochemical testing, which often identify injury only after hepatic damage has occurred. Incorporating microbial and metabolic information offers a path toward proactive and individualized risk prediction (<xref ref-type="bibr" rid="B63">Segovia-Zafra et&#xa0;al., 2021</xref>).</p>
<p>Fecal and serum metabolite profiling provides a dynamic and noninvasive window into the metabolic communication between the gut and the liver. Measuring circulating levels of key protective metabolites such as IPA and indole-3-acetate, together with harmful compounds including secondary BAs and LPS, enables a quantifiable assessment of hepatotoxic risk (<xref ref-type="bibr" rid="B92">Zhang et&#xa0;al., 2022</xref>). In parallel, functional characterization of the gut microbiome through evaluation of gene abundance for critical enzymes such as microbial &#x3b2;-glucuronidase and bile salt hydrolase variants can help estimate an individual&#x2019;s capacity for toxic drug reactivation or impaired detoxification (<xref ref-type="bibr" rid="B20">Feng et&#xa0;al., 2020</xref>).</p>
<p>Integrative multi-omics analysis is essential for capturing the full complexity of host-microbe interactions (<xref ref-type="bibr" rid="B78">Wang et&#xa0;al., 2019</xref>). Combining metagenomic, metabolomic, and transcriptomic data with clinical parameters provides the multidimensional information needed to construct robust predictive models (<xref ref-type="bibr" rid="B62">Sanches et&#xa0;al., 2024</xref>). By linking microbial functional genes with metabolite outputs and corresponding host inflammatory or detoxification gene expression patterns, researchers can identify microbial metabolic pathways that define individual susceptibility. Such integrative profiling enables&#xa0;advanced risk stratification, allowing clinicians to predict&#xa0;the&#xa0;likelihood of idiosyncratic DILI before drug administration&#xa0;and&#xa0;to&#xa0;move from reactive diagnosis toward preventive precision medicine.</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Therapeutic modulation strategies</title>
<p>The dual role of the gut microbiome in DILI, functioning both as a facilitator of detoxification and as a source of proinflammatory or toxic factors, defines two principal therapeutic directions. The first involves ecological restoration, aiming to reestablish a balanced microbial community and recover lost protective functions. The second focuses on targeted inhibition, seeking to suppress specific microbial activities that contribute to hepatotoxicity (<xref ref-type="bibr" rid="B1">Andrade et&#xa0;al., 2019</xref>). Together, these complementary strategies form the foundation for microbiome-based precision therapy designed to restore gut&#x2013;liver homeostasis and reduce the risk of DILI.</p>
<sec id="s5_2_1">
<label>5.2.1</label>
<title>Non-targeted ecological restoration</title>
<p>Restorative therapeutic approaches focus on reestablishing gut homeostasis and strengthening intestinal barrier integrity. Probiotics and synbiotics are designed to introduce beneficial microbial strains that promote eubiosis, enhance SCFA production, and reinforce epithelial defense (<xref ref-type="bibr" rid="B46">Li et&#xa0;al., 2022</xref>). Experimental studies have shown that Akkermansia species can alleviate APAP induced liver injury by regulating SCFA metabolism (<xref ref-type="bibr" rid="B81">Xia et&#xa0;al., 2022</xref>), while specific strains such as Lactobacillus casei and Bacteroides fragilis 839 reduce anti tuberculosis drug-induced hepatotoxicity by improving barrier function and suppressing activation of the LPS and TLR-4 signaling pathway (<xref ref-type="bibr" rid="B44">Li et&#xa0;al., 2025</xref>).</p>
<p>Fecal microbiota transplantation (FMT) represents a more comprehensive strategy for ecological restoration. It has proven highly effective in reconstituting microbial diversity and functional stability in conditions such as recurrent Clostridioides difficile infection (<xref ref-type="bibr" rid="B86">Yoon et&#xa0;al., 2020</xref>). In experimental models of DILI, FMT has demonstrated substantial hepatoprotective effects by rapidly restoring microbial diversity and the abundance of protective metabolites (<xref ref-type="bibr" rid="B49">Liu et&#xa0;al., 2023</xref>). Although clinical use in DILI remains limited, FMT holds considerable potential as a therapeutic option for severe or refractory cases that require rapid recalibration of the gut microbial ecosystem.</p>
</sec>
<sec id="s5_2_2">
<label>5.2.2</label>
<title>Precision targeting of microbial enzyme activity</title>
<p>A chemically defined and highly targeted therapeutic strategy focuses on specific microbial functions that drive the formation of hepatotoxic intermediates, thereby eliminating the need for broad ecological modification. By concentrating on discrete enzymatic reactions, this approach simplifies intervention while maximizing precision and efficacy, particularly when the mechanism of DILI is attributable to a single microbial pathway (<xref ref-type="bibr" rid="B34">Huang et&#xa0;al., 2024</xref>).</p>
<p>Selective inhibition of bacterial &#x3b2;-glucuronidase illustrates this principle. Microbial &#x3b2;-glucuronidase catalyzes the reactivation of many detoxified drug conjugates, including APAP metabolites, leading to renewed hepatotoxic potential (<xref ref-type="bibr" rid="B2">Awolade et&#xa0;al., 2019</xref>). Administering selective inhibitors of this enzyme alongside the parent drug effectively prevents deconjugation, maintaining the host&#x2019;s natural detoxification processes while eliminating microbial interference. Unlike antibiotic therapy, this targeted strategy avoids global disruption of the gut microbiota. Such precise enzymatic inhibition offers a promising and mechanistically grounded approach for preventing DILI, particularly for novel therapeutic agents with known susceptibility to microbial reactivation.</p>
</sec>
<sec id="s5_2_3">
<label>5.2.3</label>
<title>Targeting host receptors via microbial metabolite analogs</title>
<p>A third therapeutic approach focuses on restoring or augmenting protective microbial metabolites that support hepatic resilience. This strategy involves either direct supplementation of beneficial metabolites or the use of synthetic analogs designed to mimic their physiological functions and activate host defense pathways (<xref ref-type="bibr" rid="B51">Mafe and B&#xfc;sselberg, 2025</xref>). Pharmacological activation of receptors such as FXR and TGR5 through natural or synthetic agonists can reinforce bile acid signaling, enhance cytochrome P450 activity, and stabilize intestinal barrier integrity. Similarly, administration of stable analogs of indole derivatives, such as IPA mimetics, can stimulate the production of the anti-inflammatory cytokine IL-10 and strengthen mucosal immunity (<xref ref-type="bibr" rid="B3">Baars et&#xa0;al., 2015</xref>). These interventions offer a means to restore hepatoprotective signaling regardless of the patient&#x2019;s underlying microbial composition, thereby providing a direct and controllable route to prevent or attenuate DILI.</p>
</sec>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Challenges and future directions</title>
<p>Despite significant advances establishing the role of the gut-liver axis in DILI, substantial challenges remain in translating these findings into clinical practice. Addressing these issues requires innovation in experimental modeling and standardization across clinical cohorts.</p>
<sec id="s6_1">
<label>6.1</label>
<title>Addressing biological and clinical heterogeneity</title>
<p>DILI exhibits marked heterogeneity arising from the interplay of environmental, genetic, and microbial factors (<xref ref-type="bibr" rid="B25">Garc&#xed;a-Cort&#xe9;s et&#xa0;al., 2023</xref>). The clinical presentation and severity of DILI vary widely depending on the specific drug, patient characteristics, and underlying health status. Accounting for host variables such as metabolic disorders, including nonalcoholic fatty liver disease, or genetic predispositions, such as particular human leukocyte antigen alleles, is essential for accurately defining an individual&#x2019;s susceptibility threshold. The additional influence of drug-drug interactions further complicates prediction, as concomitant therapies, including chemotherapeutic regimens in immune checkpoint inhibitor&#x2013;associated DILI, can profoundly alter gut microbial composition and metabolic output, thereby modifying hepatotoxic risk.</p>
<p>Equally important is the recognition of racial and ethnic variability in DILI incidence and vulnerability (<xref ref-type="bibr" rid="B48">Lisboa et&#xa0;al., 2020</xref>). Baseline differences in microbiome structure, genetic background, and environmental exposures contribute to population-level disparities that remain underrepresented in existing research. Many retrospective studies fail to include sufficiently diverse cohorts, limiting the generalizability of their conclusions. Comprehensive, multi-center investigations incorporating diverse populations are therefore necessary to capture these variations and to identify groups at elevated risk, such as those with higher prevalence of metabolic disorders or distinct genetic profiles, ensuring that future DILI risk models reflect global population diversity and clinical reality.</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>Establishing causality and mechanism validation</title>
<p>A major limitation of current research on the gut microbiome in DILI is that most evidence remains observational and correlational (<xref ref-type="bibr" rid="B34">Huang et&#xa0;al., 2024</xref>). Although dysbiosis frequently accompanies hepatic injury, it has not been definitively established as a causal factor. Addressing this gap requires rigorous experimental validation to distinguish microbial association from mechanistic contribution.</p>
<p>The application of gnotobiotic animal models, in which germ-free hosts are colonized with defined microbial communities, provides a powerful tool to test causality. Similarly, targeted manipulation through selective antibiotic depletion or microbial reconstitution enables researchers to determine whether the presence or absence of specific microbial taxa or functional genes directly modifies DILI susceptibility. By demonstrating that the controlled introduction or elimination of a single microbial component can alter hepatic response to drugs, these models offer conclusive evidence for microbial causation and represent a critical step toward translating microbiome research into predictive and therapeutic applications.</p>
</sec>
<sec id="s6_3">
<label>6.3</label>
<title>Advanced experimental platforms for precision DILI modeling</title>
<p>Reproducing the complex multi-organ interactions that underlie DILI requires experimental systems capable of integrating both hepatic and intestinal physiology. Advanced <italic>in vitro</italic> and ex vivo platforms are emerging as indispensable tools for mechanistic validation and for evaluating individual patient susceptibility.</p>
<p>Human liver organoids derived from patient-specific stem cells enable high-throughput screening of intrinsic hepatotoxic potential while capturing interindividual genetic diversity (<xref ref-type="bibr" rid="B32">Han et&#xa0;al., 2024</xref>). These models provide valuable insight into direct drug cytotoxicity but remain limited in representing the systemic interactions that characterize DILI. Because DILI often results from gut-derived inflammatory mediators such as LPS, single-organ liver cultures cannot replicate the essential transport and activation processes that drive injury.</p>
<p>Microfluidic gut-liver chips, also known as organ-on-a-chip systems, are closing this gap (<xref ref-type="bibr" rid="B56">Palasantzas et&#xa0;al., 2023</xref>). These platforms physically and functionally connect an intestinal epithelial barrier, which can be colonized with commensal microbiota, to a hepatic module containing metabolically active hepatocytes and Kupffer cells. By allowing controlled transport of microbial metabolites and endotoxins between the gut and liver compartments, these chips faithfully reproduce the dynamic crosstalk responsible for DILI pathogenesis. Such integrative systems provide a predictive preclinical model for evaluating novel therapeutics and hold promise for personalized toxicological assessment that accounts for an individual&#x2019;s unique microbial and metabolic profile.</p>
</sec>
<sec id="s6_4">
<label>6.4</label>
<title>Forward outlook: clinical decision support systems</title>
<p>The integration of microbiome, metabolome, and host data creates the foundation for developing clinically useful models that can stratify the risk of DILI. By combining pretreatment metagenomic and metabolomic profiles with genetic and clinical information, researchers can build predictive algorithms that estimate an individual&#x2019;s likelihood of developing hepatotoxicity. This approach transforms DILI management from a reactive process into one centered on prevention and personalized assessment.</p>
<p>Such predictive systems can support clinical decision making by enabling proactive microbial interventions, including targeted enzyme inhibition or the administration of specific probiotics and prebiotics, and by guiding individualized drug dose adjustments based on predicted susceptibility (<xref ref-type="bibr" rid="B85">Yan et&#xa0;al., 2022</xref>). These developments mark a transition toward precision medicine in drug safety, where therapeutic strategies are tailored to each patient&#x2019;s genetic, microbial, and metabolic characteristics to minimize the risk of hepatic injury.</p>
</sec>
</sec>
<sec id="s7" sec-type="conclusions">
<label>7</label>
<title>Conclusions</title>
<p>The gut microbiota is now recognized as a fundamental and dynamic determinant of DILI, acting through continuous bidirectional communication with the liver. This microbial ecosystem maintains a delicate equilibrium, serving both protective and harmful roles. On one hand, it supports host defense by generating metabolites such as SCFAs and indole derivatives that activate the AhR and PXR. On the other hand, it can contribute to vulnerability through LPS translocation and the enzymatic reactivation of toxic metabolites, as observed with &#x3b2;-glucuronidase activity in APAP-related DILI.</p>
<p>The long-standing unpredictability of idiosyncratic DILI is increasingly being explained through measurable aspects of personalized microbial ecology, encapsulated in the concept of metabotype dependent hepatotoxicity. By identifying and quantifying microbial functions and metabolite patterns that influence drug pharmacokinetics and inflammatory thresholds, such as activation of the LPS/TLR4 pathway, researchers are transforming I-DILI from a random occurrence into a pharmacologically predictable and potentially modifiable risk.</p>
<p>The future of DILI prevention depends on uniting clinical pharmacology, microbial ecology, and systems biology. This integration requires the adoption of standardized multi omics protocols for risk assessment and the use of advanced experimental models, including microfluidic gut liver chips, to confirm causal relationships between microbial alterations and hepatic injury. The ultimate goal is to enable individualized intervention strategies, through targeted enzyme inhibitors or precision microbiome therapies, that enhance drug safety and usher in a new era of personalized hepatology. Overall, integrating microbial, metabolic, and genetic information may enable clinically actionable prediction models that support personalized hepatotoxicity prevention.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>XM: Writing &#x2013; original draft. XH: Writing &#x2013; review &amp; editing. JF: Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
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<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. We used ChatGPT to check and polish our manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
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<title>Publisher&#x2019;s note</title>
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