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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1645634</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1645634</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Berberine protects against gefitinib-induced liver injury by inhibiting the HMGB1/TLR4/NF-&#x3ba;B pathway</article-title>
<alt-title alt-title-type="left-running-head">Zhang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1645634">10.3389/fphar.2025.1645634</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Qiongyin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<xref ref-type="author-notes" rid="fn002">
<sup>&#x2021;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Na</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<xref ref-type="author-notes" rid="fn002">
<sup>&#x2021;</sup>
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<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Xue</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Qiu</surname>
<given-names>Yue</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
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<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Chao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#xa7;</sup>
</xref>
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<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Ya</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#xa7;</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Pharmacy, Chongqing University Cancer Hospital</institution>, <addr-line>Chongqing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Pharmacy, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital &#x26; Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of the University of Electronic Science and Technology of China</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1314585/overview">Chenghai Liu</ext-link>, Shanghai University of Traditional Chinese Medicine, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/218834/overview">Antonella Marino Gammazza</ext-link>, University of Palermo, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1516138/overview">Wei Guo</ext-link>, University of North Carolina at Greensboro, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Chao Li, <email>lichaolucy@sina.com</email>; Ya Chen, <email>chenyaxiaogui@126.com</email>
</corresp>
<fn fn-type="other" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>ORCID: Qiongyin Zhang, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0009-0005-6371-4195">orcid.org/0009-0005-6371-4195</ext-link>; Na Li, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0001-5767-9219">orcid.org/0000-0001-5767-9219</ext-link>; Xue Ma, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0001-7487-7882">orcid.org/0000-0001-7487-7882</ext-link>; Yue Qiu, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0009-0002-7781-0653">orcid.org/0009-0002-7781-0653</ext-link>; Chao Li, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0009-0001-7931-201X">orcid.org/0009-0001-7931-201X</ext-link>; Ya Chen: <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-1341-702X">orcid.org/0000-0002-1341-702X</ext-link>
</p>
</fn>
<fn fn-type="equal" id="fn002">
<label>
<sup>&#x2021;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="equal" id="fn003">
<label>
<sup>&#xa7;</sup>
</label>
<p>These authors have contributed equally to this work and share last authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1645634</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhang, Li, Ma, Qiu, Li and Chen.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Li, Ma, Qiu, Li and Chen</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Gefitinib (GEF), a first-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) for non-small cell lung cancer (NSCLC), is frequently associated with drug-induced liver injury (DILI), thereby limiting its clinical application. This study aimed to evaluate the hepatoprotective effects of berberine (BBR) and explore the underlying mechanisms.</p>
</sec>
<sec>
<title>Methods</title>
<p>
<italic>In vitro</italic>, human hepatocyte lines (THLE-2 and THLE-3) were exposed to GEF alone or in combination with HMGB1 siRNA, a TLR4 inhibitor, an NF-&#x3ba;B inhibitor, or varying concentrations of BBR to assess hepatotoxicity and the involvement of the HMGB1/TLR4/NF-&#x3ba;B pathway. <italic>In vivo</italic>, Sprague-Dawley (SD) rats were treated with GEF with or without different doses of BBR for 21 days. Liver injury and inflammatory responses were assessed, and pathway alterations were evaluated at both transcriptional and protein levels.</p>
</sec>
<sec>
<title>Results</title>
<p>GEF activated the HMGB1/TLR4/NF-&#x3ba;B pathway <italic>in vitro</italic>, increasing the levels of p-NF-&#x3ba;B p65, ALT, AST, and pro-inflammatory cytokines (INF-&#x3b1;, IL-1&#x3b2; and IL-6). BBR inhibited these effects in a concentration-dependent manner by suppressing pathway activation, reducing hepatotoxicity, and inhibiting HMGB1 nuclear-to-cytoplasmic translocation. <italic>In vivo</italic>, GEF induced weight loss, an increased liver-to-body weight ratio, elevated serum transaminases and pro-inflammatory cytokines, and histopathological liver injury, all of which were dose-dependently ameliorated by BBR co-administration. Moreover, BBR significantly downregulated the expression of HMGB1, TLR4, and NF-&#x3ba;B at both mRNA and protein levels in liver tissues.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>GEF-induced liver injury is mediated by HMGB1-driven inflammation via the TLR4/NF-&#x3ba;B pathway. BBR provides dose-dependent hepatoprotection by targeting this pathway, suggesting a potential strategy to protect against GEF-induced liver injury among NSCLC patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gefitinib</kwd>
<kwd>berberine</kwd>
<kwd>drug-induced liver injury (DILI)</kwd>
<kwd>HMGB1/TLR4/NF-&#x3ba;B</kwd>
<kwd>hepatoprotection</kwd>
</kwd-group>
<counts>
<page-count count="12"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gastrointestinal and Hepatic Pharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Targeted therapies have revolutionized cancer treatment, offering significant improvements in survival rates and the quality of life for patients. Gefitinib (GEF), a first-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI), has become a widely used small-molecule targeted drug in the treatment of non-small cell lung cancer (NSCLC). Despite its efficacy, GEF therapy is often complicated by adverse effects, with drug-induced liver injury (DILI) being one of the most common and concerning complications (<xref ref-type="bibr" rid="B42">Zhou et al., 2024</xref>). GEF-induced hepatotoxicity spans silent elevations in serum aminotransferases to life-threatening liver injury, often necessitating dose reduction or treatment cessation. Specifically, GEF carries a markedly higher risk of serum aminotransferase elevation than other EGFR-TKIs (<xref ref-type="bibr" rid="B6">Ding et al., 2017</xref>; <xref ref-type="bibr" rid="B31">Wu et al., 2021</xref>), with incidence rates ranging from 39% to 70.1% (<xref ref-type="bibr" rid="B28">Shi et al., 2025</xref>; <xref ref-type="bibr" rid="B24">Mitsudomi et al., 2010</xref>). Furthermore, nearly 8%&#x2013;35.1% of patients may require discontinuation of GEF due to severe hepatotoxicity (Common Terminology Criteria for Adverse Events &#x2265; Grade 3) (<xref ref-type="bibr" rid="B28">Shi et al., 2025</xref>; <xref ref-type="bibr" rid="B24">Mitsudomi et al., 2010</xref>; <xref ref-type="bibr" rid="B25">Mok et al., 2009</xref>). Such adverse events not only limit the clinical utility of GEF but also compromise patient compliance and therapeutic outcomes, highlighting the urgent need for effective and clinically applicable hepatoprotective strategies.</p>
<p>Although the precise mechanism of gefitinib-induced liver injury remains to be fully elucidated, accumulating evidence suggests that high mobility group box 1 (HMGB1) is critically involved in its pathogenesis. Gefitinib has been reported to promote the release of HMGB1 from cells, thereby initiating a sterile inflammatory response (<xref ref-type="bibr" rid="B27">Noguchi et al., 2021</xref>). In addition, <xref ref-type="bibr" rid="B37">Zhang et al. (2015)</xref> reported that glycyrrhizic acid, an HMGB1 inhibitor, can mitigate gefitinib-induced cellular effects by inhibiting HMGB1 release. These findings collectively highlight HMGB1 as a key mediator of gefitinib-induced inflammation. HMGB1 is known to play an essential role in the development of both acute and chronic liver diseases (<xref ref-type="bibr" rid="B34">Yang and Tonnesseen, 2019</xref>). Under conditions of cellular stress or injury, HMGB1 translocates from the nucleus to the cytoplasm or is released extracellularly, where it functions as a damage-associated molecular pattern (DAMP) to trigger inflammatory responses (<xref ref-type="bibr" rid="B15">Khambu et al., 2019</xref>). Once released, HMGB1 interacts with pattern recognition receptors such as the receptor for advanced glycation end products (RAGE) and Toll-like receptors (TLRs), particularly TLR4, thereby activating downstream signaling pathways including nuclear factor &#x3ba;B (NF-&#x3ba;B) (<xref ref-type="bibr" rid="B26">Ni et al., 2021</xref>). Activation of the HMGB1/TLR4/NF-&#x3ba;B signaling cascade leads to the production and secretion of pro-inflammatory cytokines, ultimately exacerbating liver injury. Several studies have shown that pharmacological modulation of this pathway using compounds such as isochlorogenic acid A (<xref ref-type="bibr" rid="B19">Liu et al., 2020</xref>), kaempferol (<xref ref-type="bibr" rid="B7">Du et al., 2020</xref>), and paeoniflorin (<xref ref-type="bibr" rid="B32">Xie et al., 2018</xref>) confers hepatoprotective effects. These findings suggest that targeting the HMGB1/TLR4/NF-&#x3ba;B signaling axis may represent a promising therapeutic strategy for mitigating gefitinib-induced hepatotoxicity.</p>
<p>Berberine (BBR), a natural isoquinoline alkaloid traditionally used to treat gastrointestinal infections, has garnered increasing attention for its hepatoprotective properties (<xref ref-type="bibr" rid="B13">Ionita-Radu et al., 2024</xref>). Increasing evidence indicates that BBR modulates multiple signaling pathways involved in the pathogenesis of liver diseases, particularly offering protection against DILI through various mechanisms (<xref ref-type="bibr" rid="B1">Bansod et al., 2021</xref>; <xref ref-type="bibr" rid="B41">Zhou et al., 2021</xref>). Notably, studies have shown that BBR can modulate HMGB1-related pathways, reducing inflammation in various models of liver injury. Berberine pretreatment has been shown to lower HMGB1, p-p65, and cleaved caspase-1 levels, thereby alleviating acetaminophen-induced liver damage (<xref ref-type="bibr" rid="B40">Zhao et al., 2018</xref>). It also inhibits the HMGB1/NF-&#x3ba;B pathway, reducing cytokine release and improving outcomes in subarachnoid hemorrhage (<xref ref-type="bibr" rid="B38">Zhang et al., 2020</xref>). Additionally, berberine inhibits HMGB1 and NF-&#x3ba;B protein translocation, providing protection against ischemia-reperfusion injury (<xref ref-type="bibr" rid="B43">Zhu et al., 2018</xref>). Other studies report that BBR mitigates myocardial ischemia and reduces HMGB1 release in LPS-stimulated macrophages (<xref ref-type="bibr" rid="B36">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="B16">Lee et al., 2013</xref>).</p>
<p>These findings indicate that BBR may exert hepatoprotective effects by modulating the HMGB1/TLR4/NF-&#x3ba;B pathway. This study therefore examines whether BBR can safeguard against GEF-induced hepatotoxicity by targeting the HMGB1/TLR4/NF-&#x3ba;B pathway, potentially establishing it as an adjunct in EGFR-TKI therapy.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Materials</title>
<p>BBR were purchased from Coolaber Reagent (Beijing, China). GEF was purchased from MACKLIN Reagent (Shanghai, China). TUNEL Apoptosis Detection Kit (FITC) was purchased from YEASEN (Shanghai, China), and immunostaining permeabilization solution (Triton X-100) were purchased from Beyotime Reagent (Shanghai, China). Human and rat tumor necrosis factor-alpha (TNF-&#x3b1;), interleukin-1 beta (IL-1&#x3b2;), and interleukin-6 (IL-6) enzyme-linked immunosorbent assay (ELISA) kits were purchased from Thermo Fisher Scientific (Massachusetts, United States) and Elabscience Biotechnology (Wuhan, China), respectively. The primers for RT-qPCR were synthesized by Qingke Biotechnology (TSINGKE, Shenzhen, China). The specific inhibitors for NF-&#x3ba;B (SC75741) and TLR4 (TLR4-IN-C34) were purchased from Selleck. cn (Shanghai, China). GAPDH antibody, rabbit anti-HMGB1 antibody, rabbit anti-TLR-4 antibody were purchased from Proteintech (Wuhan, China). Rabbit anti-NF-&#x3ba;B (p65) and rabbit anti-p-NF-&#x3ba;B [p-p65(Ser536)] antibody were purchased from Affinity Biosciences (Jiangsu, China). HRP-Goat Anti-Rabbit IgG (H &#x2b; L) and Goat-Anti-Rabbit IgG/Alexa Fluor 488 was purchased from ZSGB. BIO (Beijing, China). (Specific antibody information is provided in <xref ref-type="sec" rid="s14">Supplementary Table S1</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Cell culture</title>
<p>The THLE-2 cells were obtained from Xiamen Immocell Biotechnology Co.,Ltd. (Xiamen, China), and the THLE-3 cells were provided by Professor Wang Ling&#x2019;s team (Sichuan University, Chengdu, China). All cells were cultured in basic DMEM (Thermo Fisher Scientific, American) supplemented with 10% fetal bovine serum, 100&#xa0;&#x3bc;g/mL of penicillin/streptomycin mixture at 37 &#xb0;C in a 5% of CO<sub>2</sub> atmosphere.</p>
<p>Based on preliminary CCK-8 cytotoxicity assays and referenced literature reports (<xref ref-type="bibr" rid="B3">Chen et al., 2019</xref>; <xref ref-type="bibr" rid="B33">Xu et al., 2018</xref>), we selected appropriate drug concentrations for the study: gefitinib (10&#xa0;&#x3bc;M) for hepatotoxicity induction and berberine (5, 10, 20&#xa0;&#x3bc;M) for evaluating protection against gefitinib-induced injury.</p>
</sec>
<sec id="s2-3">
<title>2.3 Animals and drug treatment</title>
<p>Male SD rats (4&#x2013;5&#xa0;weeks old, 100&#x2013;150&#xa0;g) were purchased from Chongqing Tengxin biotechnology co., LTD (Chongqing, China). The animals were kept in polycarbonate cages (6/cage) under 12 on/off light cycles, feed and water <italic>ad libitum</italic>. All animal experiments were conducted in accordance with the principles outlined in the Guide for the Care and Use of Laboratory Animals by the National Institutes of Health and were approved by the Animal Ethics Committee of Chongqing University Cancer Hospital (Chongqing, China), in compliance with the ARRIVE guidelines.</p>
<p>Following a 7-day quarantine period, rats were randomly assigned to one of six groups (n &#x3d; 8 per group): (1) Blank control (no treatment); (2) Vehicle control (0.5% sodium carboxymethyl cellulose, CMC-Na with 0.04% Tween 80); (3) GEF (100&#xa0;mg/kg); (4) GEF &#x2b; low-dose berberine (BBR-L, 25&#xa0;mg/kg); (5) GEF &#x2b; medium-dose berberine (BBR-M, 50&#xa0;mg/kg); and (6) GEF &#x2b; high-dose berberine (BBR-H, 100&#xa0;mg/kg). The gefitinib-induced rat liver injury model and berberine co-administration dosing regimens were based on results from preliminary <italic>in vivo</italic> experiments and relevant published studies (<xref ref-type="bibr" rid="B4">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="B23">Mehrzadi et al., 2018</xref>; <xref ref-type="bibr" rid="B22">Mahmoud et al., 2017</xref>). Due to limited solubility, GEF and BBR were administered orally by gavage as suspensions in 0.5% CMC-Na with 0.04% Tween 80. The GEF group received GEF and the CMC-Na/Tween 80 vehicle. In the GEF &#x2b; BBR groups, BBR was administered via gavage, followed 4&#xa0;h later by gefitinib (100&#xa0;mg/kg). All treatments were administered daily for 21&#xa0;days. Body weight was measured daily throughout the treatment period. At the conclusion of the 21-day treatment, rats were anesthetized via pentobarbital injection, and blood samples were collected via cardiac puncture. Livers were then excised, weighed, and snap-frozen in liquid nitrogen before being stored at &#x2212;80 &#xb0;C until further analysis. A schematic representation of the experimental design is provided in <xref ref-type="fig" rid="F5">Figure 5A</xref>.</p>
</sec>
<sec id="s2-4">
<title>2.4 Estimation of ALT and AST levels</title>
<p>The alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels in rat serum were determined by Scientist BIOTECHNOLOGY (Sichuan, China). For cell supernatants, ALT and AST levels were measured using Alanine Aminotransferase (ALT/GPT) Activity Assay Kit and Aspartate Aminotransferase (AST/GOT) Activity Assay Kit which were purchased from Elabscience Biotechnology (Wuhan, China).</p>
</sec>
<sec id="s2-5">
<title>2.5 Histological examination</title>
<p>The liver tissues were fixed in neutral formalin solution for at least 48&#xa0;h, then embedded in paraffin, and sectioned at a thickness of 4&#xa0;&#x3bc;m for histopathological evaluation. The tissue sections were stained with hematoxylin and eosin (HE), and the histopathological changes were observed under a light microscope (Precipoint-M8 Digital Scanning Microscopic Imaging System, Germany, 200&#xd7;).</p>
</sec>
<sec id="s2-6">
<title>2.6 siRNA interference</title>
<p>The THLE-2 and THLE-3 cells were transfected with 50&#xa0;nM of HMGB1-targeting siRNAs (5&#x2032;-GGA&#x200b;GAG&#x200b;AUG&#x200b;UGG&#x200b;AAU&#x200b;AAC&#x200b;ATT-3&#x2032;, 5&#x2032;-UGU&#x200b;UAU&#x200b;UCC&#x200b;ACA&#x200b;UCU&#x200b;CUC&#x200b;CTT -3&#x2032;) (HanBio, Shanghai, China) using Lipofectamine&#x2122; 3000 (Thermo Fisher Scientific, United States) following the manufacturer&#x2019;s instructions. Cells were collected for subsequent analysis 48&#xa0;h post-transfection.</p>
</sec>
<sec id="s2-7">
<title>2.7 RT-qPCR analysis</title>
<p>Total RNA was isolated from rat liver and THLE-2/THLE-3 cells using TRNzol reagent (TIANGEN, Beijing, China), and cDNA was synthesized using the Hifair&#x2162;first Strand cDNA Synthesis SuperMix for qPCR (gDNA digester plus) (YEASEN, Shanghai, China). RT-qPCR was performed using Hieff<sup>&#xae;</sup> qPCR SYBR Green Master Mix (No Rox) (YEASEN, Shanghai, China) and primers specific for human/rat HMGB1/Hmgb1, TLR4/Tlr4, and GAPDH/Gapdh on the QX-Real-time PCR System (JLM, Sichuan, China). GAPDH/Gapdh served as the internal control, and relative expression was calculated using 2<sup>&#x2212;&#x394;&#x394;Ct</sup> method. The primer sequences employed throughout this study are listed in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Oligonucleotide primers for gene expression analysis by RT-qPCR.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Oligoname</th>
<th align="center">Sequence (5&#x2032;-3&#x2032;)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">human-HMGB1</td>
<td align="center">F-5&#x2032;-TATGGCAAAAGCGGACAAGG-3&#x2032;<break/>R-5&#x2032;-CTTCGCAACATCACCAATGGA-3&#x2032;</td>
</tr>
<tr>
<td align="center">human-TLR4</td>
<td align="center">F-5&#x2032;-AGACCTGTCCCTGAACCCTAT-3&#x2032;<break/>R-5&#x2032;-CGATGGACTTCTAAACCAGCCA-3&#x2032;</td>
</tr>
<tr>
<td align="center">human-GAPDH</td>
<td align="center">F-5&#x2032;-GTCAACGGATTTGGTCGTATTG -3&#x2032;<break/>R-5&#x2032;-TGTAGTTGAGGTCAATGAAGGG-3&#x2032;</td>
</tr>
<tr>
<td align="center">rat-Hmgb1</td>
<td align="center">F-5&#x2032;-TATGGCAAAGGCTGACAAGG-3&#x2032;<break/>R-5&#x2032;-TTTCTTCGCAACATCACCAA-3&#x2032;</td>
</tr>
<tr>
<td align="center">rat-Tlr4</td>
<td align="center">F-5&#x2032;-CCAGAGCCGTTGGTGTATCT-3&#x2032;<break/>R-5&#x2032;-CAGAGCATTGTCCTCCCACT-3&#x2032;</td>
</tr>
<tr>
<td align="center">rat-Gapdh</td>
<td align="center">F-5&#x2032;-GGCACAGTCAAGGCTGAGAATG-3&#x2032;<break/>R-5&#x2032;-ATGGTGGTGAAGACGCCAGTA-3&#x2032;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-8">
<title>2.8 Western blot analysis</title>
<p>Total proteins were extracted from lysate of rat liver tissues and THLE-2/THLE-3 cells using RIPA buffer supplemented with PMSF. An appropriate amount of protein was loaded onto a 10% SDS-PAGE gel. Subsequently, the proteins were transferred to PVDF membranes. The membranes were then incubated with primary antibodies at 4 &#xb0;C overnight. After incubation with HRP-Goat Anti-Rabbit IgG (H &#x2b; L) secondary antibody, protein bands were visualized using an ECL detection kit (YEASEN, Shanghai, China) and imaged with a ChemiDoc MP imaging system (Bio-Rad, United States). The intensity of the bands was quantified by means of ImageJ software.</p>
</sec>
<sec id="s2-9">
<title>2.9 INF-&#x3b1;, IL-1&#x3b2; and IL-6 analysis</title>
<p>The levels of TNF-&#x3b1;, IL-1&#x3b2;, and IL-6 in the cell supernatants and rat serum were quantified using commercially available ELISA kits, according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="s2-10">
<title>2.10 TUNEL assay</title>
<p>Cell apoptosis was detected using the TUNEL Apoptosis Detection Kit (FITC) (YEASEN, Shanghai, China). Cells were seeded on coverslips in 24-well plates and cultured for 48&#xa0;h at 37 &#xb0;C in a 5% CO<sub>2</sub> incubator. After fixing with 4% paraformaldehyde for 30&#xa0;min and permeabilizing with Triton X-100, the cells were incubated with 1&#xd7;Equilibration buffer for 20&#xa0;min at room temperature. Next, TdT incubation solution was applied for 60&#xa0;min at 37 &#xb0;C in the dark. Following PBS washes, DAPI staining was performed for 2&#xa0;min, and anti-fluorescence quencher (Beyotime, Shanghai, China) was added. TUNEL-positive cells were imaged using an Olympus IX73 microscope (400&#xd7;).</p>
</sec>
<sec id="s2-11">
<title>2.11 Immunofluorescence detection of HMGB1 translocation</title>
<p>HMGB1 nuclear-to-cytoplasmic translocation were assessed by immunofluorescence in THLE-2 and THLE-3 cells. Cells were seeded on coverslips in 24-well plates and cultured for 48&#xa0;h at 37 &#xb0;C in a 5% CO<sub>2</sub> incubator, then fixed with 4% paraformaldehyde for 30&#xa0;min, permeabilized with Triton X-100, and blocked with 1% BSA. After overnight incubation with primary HMGB1 antibody (1:200, Proteintech, 10829-1-AP) at 4 &#xb0;C, slices were treated with Alexa Fluor 488-conjugated secondary antibody (1:50, ZSGB-BIO, ZF-0511). HMGB1 localization was imaged using an Olympus IX73 microscope (200&#xd7;, 400&#xd7;).</p>
</sec>
<sec id="s2-12">
<title>2.12 Statistical analysis</title>
<p>Data analysis in this study was performed using GraphPad (version 9.5) and Origin (version 2021), and results are presented as mean &#xb1; standard deviation. The differences in means between the groups were assessed by Student&#x2019;s t-test based on the data analysis. Statistical significance was established when the p-value was less than 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 GEF induces HMGB1, TLR4, and NF-&#x3ba;B expression and elevates ALT, AST, and inflammatory cytokines, while inhibitors reduce hepatocyte injury</title>
<p>To initially investigate the mechanism of GEF-induced hepatotoxicity and the role of the HMGB1/TLR4/NF-&#x3ba;B pathway, THLE-2 and THLE-3 cells were exposed to GEF (10&#xa0;&#x3bc;M) for 48&#xa0;h. The mRNA expression of HMGB1 and TLR4 was measured by quantitative PCR (qPCR), and Western blot was used to assess the protein levels of HMGB1, TLR4, and NF-&#x3ba;B (including p65 and its phosphorylated form, p-p65). GEF treatment resulted in a significant upregulation of HMGB1 and TLR4 mRNA expression (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>). Additionally, the protein levels of HMGB1, TLR4, and NF-&#x3ba;B (p65 and p-p65) were markedly elevated (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>). Notably, the increase in p-p65 protein expression exceeded that of p65, indicating significant activation of NF-&#x3ba;B. These findings indicate that GEF activates these key molecular components.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Gefitinib (GEF) induced upregulation of HMGB1, TLR4, and NF-&#x3ba;B expression, and promotes hepatocyte injury in THLE-2 and THLE-3 cells (n &#x3d; 3). <bold>(A,B)</bold> mRNA expression of HMGB1 and TLR4. <bold>(C,D)</bold> Protein levels of HMGB1, TLR4, and NF-&#x3ba;B (p65 and p-p65). <bold>(E,F)</bold> ALT and AST levels in the cell supernatant. <bold>(G,H)</bold> Inflammatory cytokine levels (TNF-&#x3b1;, IL-1&#x3b2;, and IL-6) in the cell supernatant. Cells were treated with GEF (10&#xa0;&#x3bc;M) for 48&#xa0;h or co-treated with HMGB1 siRNA, TLR4 inhibitor (TLR4-IN-C34, 20&#xa0;&#x3bc;M) or NF-&#x3ba;B inhibitor (SC75741, 1&#xa0;&#x3bc;M). ns, no significance. &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001. P-value &#x3c; 0.05 was considered statistically significant.</p>
</caption>
<graphic xlink:href="fphar-16-1645634-g001.tif">
<alt-text content-type="machine-generated">Graphs and western blots analyze gene and protein expression. Panels A and B show mRNA levels of genes HMGB1 and TLR4 in THLE-2 and THLE-3 cells, respectively. Panels C and D display protein expression via western blots and corresponding quantification. Panels E and F shows ALT and AST levels in cellular supernatant, while panels F to H depict levels of proinflammatory cytokines IL-1&#x3B2;, TNF-&#x3B1;, and IL-6. Various conditions include blank, DMSO, and GEF treatments, with statistical significance indicated by asterisks.</alt-text>
</graphic>
</fig>
<p>Subsequently, THLE-2 and THLE-3 cells were co-treated with GEF and either HMGB1 small interfering RNA (siRNA), a TLR4 inhibitor (TLR4-IN-C34), or an NF-&#x3ba;B inhibitor (SC75741) for 48&#xa0;h. The levels of ALT, AST, and inflammatory cytokines (TNF-&#x3b1;, IL-1&#x3b2;, and IL-6) in the cell supernatant were measured by ELISA. The results revealed that each co-treatment significantly reduced the elevation of ALT, AST, and pro-inflammatory cytokines induced by GEF (<xref ref-type="fig" rid="F1">Figures 1E&#x2013;H</xref>). These findings indicate that inhibition of HMGB1, TLR4, or NF-&#x3ba;B mitigates GEF-induced hepatocyte injury and inflammatory responses.</p>
</sec>
<sec id="s3-2">
<title>3.2 HMGB1 is critical for GEF-induced activation of the TLR4/NF-&#x3ba;B pathway and hepatotoxicity</title>
<p>To clarify the upstream-downstream regulatory relationships among HMGB1, TLR4, and NF-&#x3ba;B in GEF-induced liver injury, THLE-2 and THLE-3 cells were pretreated with HMGB1 siRNA and subsequently exposed to 10&#xa0;&#x3bc;M GEF for 48&#xa0;h to assess the expression of downstream pathways, with a particular focus on TLR4 and NF-&#x3ba;B. The mRNA and protein expressions of the relevant molecules were measured using the methods described previously. The results revealed that following HMGB1 downregulation by siRNA, GEF treatment could not increase HMGB1 and TLR4 mRNA expression anymore (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). Moreover, the protein levels of HMGB1, TLR4 and NF-&#x3ba;B (p65 and p-p65) upregulation induced by GEF were not observed (<xref ref-type="fig" rid="F2">Figures 2C,D</xref>). This finding demonstrates that HMGB1 plays a crucial role in mediating GEF-induced activation of TLR4 and NF-&#x3ba;B, suggesting that the activation of this signaling pathway is a key mechanism driving the hepatotoxic effects of GEF.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>HMGB1 siRNA reversed the induction of TLR4 and NF-&#x3ba;B by gefitinib (GEF) in THLE-2 and THLE-3 cells (n &#x3d; 3). <bold>(A,B)</bold> mRNA expression of HMGB1 and TLR4. <bold>(C,D)</bold> Protein levels of HMGB1, TLR4, and NF-&#x3ba;B (p65 and p-p65). Cells were pretreated with HMGB1 siRNA, followed by GEF (10&#xa0;&#x3bc;M) treatment for 48&#xa0;h.&#xa0;ns, no significance. &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001. P-value &#x3c; 0.05 was considered statistically significant.</p>
</caption>
<graphic xlink:href="fphar-16-1645634-g002.tif">
<alt-text content-type="machine-generated">Bar charts and Western blot panels showing the effects of various treatments on mRNA and protein levels in THLE-2 and THLE-3 cells. (A) and (B) display relative mRNA levels for HMGB1 and TLR4, comparing treatments. (C) and (D) show Western blots for TLR4, p65, phospho-p65, HMGB1, and GAPDH with corresponding protein expression levels. Treatments include THLE cells, si-NC, si-HMGB1, and GEF combinations, with statistical significance indicated.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 BBR alleviates GEF-induced hepatotoxicity in THLE-2/THLE-3 cells</title>
<p>To preliminarily explore the protective effect of BBR on GEF-induced liver injury <italic>in vitro</italic>, THLE-2 and THLE-3 cells were treated with GEF (10&#xa0;&#x3bc;M) in combination with BBR at low, medium, and high concentrations (5&#xa0;&#x3bc;M, 10&#xa0;&#x3bc;M, and 20&#xa0;&#x3bc;M, respectively) for 48&#xa0;h. The levels of ALT, AST, and inflammatory cytokines (including TNF-&#x3b1;, IL-1&#x3b2;, and IL-6) in the cell supernatant were measured by ELISA, and cell apoptosis was assessed using the TUNEL assay.</p>
<p>The results demonstrated that co-treatment with BBR led to a dose-dependent decrease in the levels of ALT and AST in both cell lines (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>). Additionally, the levels of pro-inflammatory cytokines, including TNF-&#x3b1;, IL-1&#x3b2;, and IL-6 in the cell supernatants, were markedly reduced in a dose-dependent manner (<xref ref-type="fig" rid="F3">Figures 3C,D</xref>). Higher concentrations of BBR leading to more significant reductions inflammatory responses, indicating that the protective effects of BBR are concentration-dependent. Furthermore, a significant reduction in cell apoptosis was observed with BBR treatment (<xref ref-type="fig" rid="F3">Figures 3E,F</xref>; <xref ref-type="sec" rid="s14">Supplementary Figures S1A,S1B</xref>), especially at high concentrations, which supports its role in mitigating GEF-induced hepatotoxicity.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Berberine (BBR) attenuates gefitinib (GEF)-induced hepatotoxicity in THLE-2 and THLE-3 cells (n &#x3d; 3). <bold>(A,B)</bold> Levels of ALT and AST in the cell supernatant. <bold>(C,D)</bold> Levels of inflammatory cytokine (TNF-&#x3b1;, IL-1&#x3b2;, and IL-6) in the cell supernatant. <bold>(E)</bold> Apoptosis measured by TUNEL assay (400&#xd7;) in THLE-3 cells. <bold>(F)</bold> Representative images of apoptotic in THLE-3 cells. Cells were treated with 10&#xa0;&#x3bc;M GEF in combination with low, medium, and high concentrations of BBR (5&#xa0;&#x3bc;M, 10&#xa0;&#x3bc;M, and 20&#xa0;&#x3bc;M, denoted as BBR-L, BBR-M, and BBR-H, respectively) for 48&#xa0;h.&#xa0;ns, no significance. &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001. P-value &#x3c; 0.05 was considered statistically significant.</p>
</caption>
<graphic xlink:href="fphar-16-1645634-g003.tif">
<alt-text content-type="machine-generated">Graphs A to E depict data on cellular supernatant levels of ALT and AST, proinflammatory cytokines IL-1&#x3B2;, TNF-&#x3B1;, and IL-6, and the percentage of TUNEL-positive cells across different samples (THLE-2 and THLE-3) treated with DMSO, GEF, and varying concentrations of GEF+BBR. Graph F shows TUNEL assay results with images of treated cells under TUNEL and DAPI staining with merged views. Statistical significance is indicated with asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 BBR inhibits the HMGB1/TLR4/NF-&#x3ba;B pathway and reduces HMGB1 nuclear-to-cytoplasmic translocation in THLE-2/THLE-3 cells</title>
<p>Next, the molecular mechanism of BBR&#x2019;s protection against GEF-induced liver injury was investigated. Accordingly, THLE-2 and THLE-3 cells were co-treated with 20&#xa0;&#x3bc;M gefitinib and BBR at concentrations of 5, 10, and 20&#xa0;&#x3bc;M. The mRNA expression levels of HMGB1 and TLR4, as well as the protein levels of HMGB1, TLR4, and NF-&#x3ba;B, were analyzed using the methods described previously. Moreover, the nuclear-to-cytoplasmic translocation of HMGB1 was evaluated via immunofluorescence. The results showed that, compared to GEF treatment alone, co-treatment with BBR significantly downregulated the mRNA levels of HMGB1 and NF-&#x3ba;B (<xref ref-type="fig" rid="F4">Figures 4A,B</xref>), as well as the protein expression of HMGB1, NF-&#x3ba;B, and TLR4 (<xref ref-type="fig" rid="F4">Figures 4C,D</xref>). Furthermore, BBR significantly reduced the nuclear-to-cytoplasmic translocation of HMGB1 in both THLE-2 and THLE-3 cells, a key event associated with inflammation and liver injury (<xref ref-type="fig" rid="F4">Figures 4E,F</xref>; <xref ref-type="sec" rid="s14">Supplementary Figures S1C,S1D</xref>). Therefore, BBR alleviates GEF-induced hepatotoxicity by inhibiting the HMGB1/TLR4/NF-&#x3ba;B signaling pathway, reducing inflammation, and limiting the nuclear-to-cytoplasmic translocation of HMGB1.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Berberine (BBR) inhibits the HMGB1/TLR4/NF-&#x3ba;B pathway and reduces HMGB1 nuclear-to-cytoplasmic translocation in THLE-2 and THLE-3 cells (n &#x3d; 3). <bold>(A,B)</bold> mRNA expression of HMGB1 and TLR4. <bold>(C,D)</bold> Protein levels of HMGB1, TLR4, and NF-&#x3ba;B (p65 and p-p65). <bold>(E)</bold> Nuclear-to-cytoplasmic translocation of HMGB1 detected by immunofluorescence in THLE-3 cells. <bold>(F)</bold> Representative immunofluorescence images showing HMGB1 in the cytoplasm and nucleus of THLE-3 cells (200&#xd7; and 400&#xd7;). Cells were treated with 10&#xa0;&#x3bc;M GEF and low, medium, and high concentrations of BBR (5&#xa0;&#x3bc;M, 10&#xa0;&#x3bc;M, and 20&#xa0;&#x3bc;M, denoted as BBR-L, BBR-M, and BBR-H, respectively) for 48&#xa0;h.&#xa0;ns, no significance. &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001. P-value &#x3c; 0.05 was considered statistically significant.</p>
</caption>
<graphic xlink:href="fphar-16-1645634-g004.tif">
<alt-text content-type="machine-generated">Graphs and images showing the effects of different treatments on THLE-2 and THLE-3 cell lines. Panels A and B display bar graphs of relative mRNA levels of HMGB1 and TLR4 with different treatments. Panels C and D include Western blot results with corresponding bar graphs of protein expressions. Panel E presents a bar graph of relative fluorescence density. Panel F shows immunofluorescence images of cells stained with HMGB1 and DAPI, displaying changes under various conditions. Statistical significance is indicated with asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5">
<title>3.5 BBR prevents GEF-induced hepatotoxicity and inhibits the HMGB1/TLR4/NF-&#x3ba;B pathway in rat</title>
<p>To further investigate the protective effect of BBR against GEF-induced liver injury <italic>in vivo</italic>, we established a rat model of GEF-induced liver injury by intragastric administration of 100&#xa0;mg/kg GEF for 3 weeks. Following daily co-administration of BBR at low, medium, and high doses (25&#xa0;mg/kg, 50&#xa0;mg/kg, and 100&#xa0;mg/kg, respectively), serum samples were collected for biochemical analysis of ALT and AST. Inflammatory markers, including TNF-&#x3b1;, IL-1&#x3b2;, and IL-6, were quantified using ELISA kits. Liver tissues were harvested for histopathological evaluation through HE staining. Additionally, mRNA expression levels of HMGB1 and TLR4, as well as protein levels of HMGB1, TLR4, and NF-&#x3ba;B, were measured as previously described (<xref ref-type="fig" rid="F5">Figure 5A</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Berberine (BBR) prevents gefitinib (GEF)-induced hepatotoxicity and inhibits the HMGB1/TLR4/NF-&#x3ba;B pathway in rats (n &#x3d; 8). <bold>(A)</bold> Animal experiment design. <bold>(B)</bold> Body weight changes during the treatment period. <bold>(C)</bold> Liver index (liver-to-body weight ratio). <bold>(D)</bold> Hepatic histopathological changes by HE staining (200&#xd7;). Green arrows: eosinophilic change; yellow arrows: inflammatory cell infiltration. <bold>(E)</bold> Levels of ALT and AST in serum. <bold>(F)</bold> Levels of inflammatory cytokine (TNF-&#x3b1;, IL-1&#x3b2;, and IL-6) in serum. <bold>(G)</bold> mRNA expression of HMGB1 and TLR4 in liver. <bold>(H)</bold> Protein levels of HMGB1, TLR4, and NF-&#x3ba;B (p65 and p-p65) in liver. Rats were administered 100&#xa0;mg/kg GEF for 3&#xa0;weeks to establish a liver injury model, followed by co-administration of BBR at 25&#xa0;mg/kg (BBR-L), 50&#xa0;mg/kg (BBR-M), or 100&#xa0;mg/kg (BBR-H) 4&#xa0;h before daily GEF. ns, no significance. &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001. P-value &#x3c; 0.05 was considered statistically significant.</p>
</caption>
<graphic xlink:href="fphar-16-1645634-g005.tif">
<alt-text content-type="machine-generated">A multi-panel scientific figure shows an experimental study on male rats treated with Gefitinib and Berberine. Panel A illustrates the experimental setup, including treatment dosages and assays conducted. Panel B presents a line graph of rat weight over time across different groups. Panel C details a pie chart of the liver index percentage for each group. Panel D consists of histological images depicting liver tissue across various treatments. Panels E, F, and G present bar graphs showing serum ALT/AST levels, cytokine levels, and mRNA gene expression, respectively. Panel H displays Western blot images and corresponding quantitative analysis of protein expression.</alt-text>
</graphic>
</fig>
<p>The results indicated that GEF treatment led to a reduction in body weight in rats (<xref ref-type="fig" rid="F5">Figure 5B</xref>) and an increase in the liver index (liver-to-body weight ratio, <xref ref-type="fig" rid="F5">Figure 5C</xref>). Pathological analysis through HE staining revealed hepatocellular injury, eosinophilic change, along with inflammatory cell infiltration (<xref ref-type="fig" rid="F5">Figure 5D</xref>). Serum levels of transaminases (ALT, AST) and inflammatory cytokines (TNF-&#x3b1;, IL-1&#x3b2;, and IL-6) were also elevated (<xref ref-type="fig" rid="F5">Figures 5E,F</xref>), indicating GEF-induced liver injury. These findings align with clinical reports of GEF-induced hepatotoxicity, which primarily manifests as hepatocellular injury (<xref ref-type="bibr" rid="B42">Zhou et al., 2024</xref>).</p>
<p>As depicted in <xref ref-type="fig" rid="F5">Figures 5B&#x2013;D</xref>, BBR co-treatment partially restored body weight and reduced the liver index and liver damage in a dose-dependent manner, with higher doses preserving liver architecture and reducing tissue injury more effectively. Serum ALT and AST levels were significantly lower in BBR-treated rats, with the greatest reductions observed at higher doses (<xref ref-type="fig" rid="F5">Figure 5E</xref>). Furthermore, levels of pro-inflammatory cytokines, such as TNF-&#x3b1;, IL-1&#x3b2;, and IL-6, were reduced dose-dependently (<xref ref-type="fig" rid="F5">Figure 5F</xref>), indicating that BBR mitigated the inflammatory response induced by GEF.</p>
<p>Mechanistically, BBR co-treatment effectively inhibited the activation of the HMGB1/TLR4/NF-&#x3ba;B pathway in rat liver. The mRNA and protein expression of HMGB1 and TLR4 was significantly reduced in the co-treated rats, with greater downregulation at higher doses (<xref ref-type="fig" rid="F5">Figures 5G,H</xref>). Moreover, the protein expression of NF-&#x3ba;B was also significantly inhibited, particularly at the highest dose of BBR (<xref ref-type="fig" rid="F5">Figure 5H</xref>). Consistent with <italic>in vitro</italic> data, BBR dose-dependently suppressed the HMGB1/TLR4/NF-&#x3ba;B axis, thereby attenuating liver inflammation and damage, and offering a promising therapeutic for GEF-induced hepatotoxicity.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>Targeted therapies, especially the EGFR-TKI, have markedly improved outcomes in NSCLC, yet GEF-induced hepatotoxicity remains a critical clinical limitation. In the present study we demonstrate that GEF-induced liver injury is driven by sequential activation of the damage-associated molecular pattern HMGB1 and its downstream TLR4/NF-&#x3ba;B axis, and we reveal that, for the first time, pharmacological intervention with BBR dose-dependently attenuated liver injury, evidenced by downregulating HMGB1, inhibiting the TLR4/NF-&#x3ba;B signaling pathway, and suppressing the release of inflammatory mediators (<xref ref-type="fig" rid="F6">Figure 6</xref>). Collectively, our findings establish the HMGB1/TLR4/NF-&#x3ba;B pathway as a central driver of gefitinib hepatotoxicity and identify BBR as a clinically relevant adjunct to prevent or mitigate GEF-associated liver injury.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Berberine protects against gefitinib-induced liver injury by inhibiting the HMGB1/TLR4/NF-&#x3ba;B pathway. Berberine exerts dose-dependent hepatoprotective effects both <italic>in vitro</italic> and <italic>in vivo</italic> by suppressing HMGB1 expression and nuclear-to-cytoplasmic translocation, downregulating pro-inflammatory cytokines (IL-1&#x3b2;, IL-6, TNF-&#x3b1;), reducing serum aminotransferases (ALT, AST), and alleviating hepatocyte apoptosis.</p>
</caption>
<graphic xlink:href="fphar-16-1645634-g006.tif">
<alt-text content-type="machine-generated">Diagram illustrating the effects of Berberine and Gefitinib on liver inflammation and cell signaling pathways. Berberine inhibits processes while Gefitinib induces up-regulation, affecting pathways involving TLR4, NF-kB, and HMGB1, leading to inflammation and cell apoptosis. Key markers include ALT, AST for liver inflammation and cytokines IL-6, TNF-alpha, and IL-1beta.</alt-text>
</graphic>
</fig>
<p>DILI is a significant concern in the context of liver diseases, particularly during antitumor therapies (<xref ref-type="bibr" rid="B5">Chodup et al., 2025</xref>). DILI can result in serious outcomes, including treatment discontinuation, hepatic failure, and even death. Given that most small-molecule targeted agents undergo hepatic metabolism, DILI is a particularly common adverse effect in this drug class. Notably, GEF is associated with a significantly higher incidence of DILI compared to other agents in the same category, raising substantial concerns regarding its safety and clinical applicability. As a result, investigations into the mechanisms underlying GEF-induced liver toxicity have been more extensive than those for other EGFR-TKIs (<xref ref-type="bibr" rid="B44">Zhu et al., 2024</xref>). Developing effective strategies to prevent or alleviate GEF-induced liver injury is therefore essential to enhance patient adherence and optimize therapeutic outcomes in clinical practice.</p>
<p>Current research on the mechanisms of GEF-induced hepatotoxicity has identified multiple pathways that may contribute to liver injury. For instance, <xref ref-type="bibr" rid="B17">Li et al. (2009)</xref>. Discovered that the active metabolites generated from the metabolism of gefitinib by CYP450 enzymes can induce oxidative stress damage. <xref ref-type="bibr" rid="B39">Zhang et al. (2021)</xref> found that GEF leads to abnormal expression of genes associated with the endoplasmic reticulum stress (ERS) pathway and apoptosis in a zebrafish model. Additionally, some studies have suggested that GEF-induced liver injury may be related to autophagy (<xref ref-type="bibr" rid="B21">Luo et al., 2021</xref>). Moreover, GEF can activate cells to release HMGB1, which in turn triggers immune responses and immune-related adverse events and induces cell apoptosis. Research has confirmed that HMGB1 is associated with impaired mitochondrial oxidative phosphorylation and disrupted free fatty acid (FFA) &#x3b2;-oxidation related to enhanced ER stress (<xref ref-type="bibr" rid="B18">Lin et al., 2020</xref>). When cells are under stress or tissues are injured, HMGB1 can undergo post-translational modifications such as acetylation, phosphorylation, methylation, or oxidation. Additionally, HMGB1 can regulate autophagy and apoptosis (<xref ref-type="bibr" rid="B15">Khambu et al., 2019</xref>). Overall, oxidative stress, endoplasmic reticulum stress, apoptosis, and autophagy appear to interact intricately with HMGB1 in the pathogenesis of GEF-induced liver injury.</p>
<p>Based on previous research, we hypothesized that HMGB1 plays a pivotal role in GEF-induced liver injury. Our results support the hypothesis, and align with previous findings by <xref ref-type="bibr" rid="B27">Noguchi et al. (2021)</xref> and <xref ref-type="bibr" rid="B37">Zhang et al. (2015)</xref>. Furthermore, the specific binding ligands and downstream factors of HMGB1 involved in GEF-induced liver injury have not been thoroughly investigated before. In this study, we demonstrate for the first time that the activation of the HMGB1/TLR4/NF-&#x3ba;B signaling pathway triggers the release of inflammatory factors and induces apoptosis, which is a key mechanism underlying GEF-induced liver injury. This pathway is a critical contributor to GEF-induced liver injury and represents a promising therapeutic target for clinical intervention.</p>
<p>At present, current clinical guidelines for managing DILI caused by EGFR-TKIs like GEF primarily emphasize reactive management strategies, including discontinuation of suspected hepatotoxic medications, switching to alternative targeted therapies, and administration of appropriate hepatoprotective agents. In cases of acute severe liver failure, liver transplantation is necessary. Regarding proactive prevention of gefitinib-associated DILI risk, comprehensive monitoring and risk stratification are recommended, while evidence-based pharmacological prophylaxis is currently lacking. Our study identifies BBR as a potential prophylactic agent that could be used to reduce GEF-related hepatotoxicity and improve treatment continuity.</p>
<p>Among potential hepatoprotective agents, traditional Chinese medicine (TCM), specifically the natural alkaloid BBR, has gained attention due to its multimodal mechanisms and favorable safety profile. For example, BBR can modulate lipid metabolism, regulate bile acids, and exert anti-inflammatory, antioxidant, and anti-fibrotic effects in the treatment of liver diseases (<xref ref-type="bibr" rid="B1">Bansod et al., 2021</xref>). Indeed, extensive research has demonstrated BBR&#x2019;s protective effects against liver injury induced by various agents, including CCl4 (<xref ref-type="bibr" rid="B12">Han et al., 2019</xref>), cyclophosphamide (<xref ref-type="bibr" rid="B9">Germoush and Mahmoud, 2014</xref>), paraquat (<xref ref-type="bibr" rid="B14">Javad-Mousavi et al., 2016</xref>), acetaminophen (<xref ref-type="bibr" rid="B40">Zhao et al., 2018</xref>), doxorubicin (<xref ref-type="bibr" rid="B2">Chen et al., 2016</xref>), methotrexate (<xref ref-type="bibr" rid="B22">Mahmoud et al., 2017</xref>), and others. Critically, its role in mitigating GEF-specific hepatotoxicity had not been investigated prior to our work. Our findings provide mechanistic evidence supporting BBR&#x2019;s potential as an adjunctive hepatoprotective strategy in gefitinib-treated patients.</p>
<p>Research has shown that BBR can lower HMGB1, inhibit the HMGB1/NF-&#x3ba;B pathway, and decrease pro-inflammatory cytokine production and reduce inflammatory damage, including myocardial injury (<xref ref-type="bibr" rid="B10">Goto et al., 2024</xref>; <xref ref-type="bibr" rid="B20">Long et al., 2023</xref>), liver injury (<xref ref-type="bibr" rid="B8">Gendy et al., 2022</xref>), thrombosis (<xref ref-type="bibr" rid="B30">Wei et al., 2022</xref>), cerebral injury (<xref ref-type="bibr" rid="B29">Tentu et al., 2025</xref>), renal injury (<xref ref-type="bibr" rid="B35">Yang et al., 2024</xref>), and DILI (<xref ref-type="bibr" rid="B40">Zhao et al., 2018</xref>). In this study, we demonstrated that BBR could reverse GEF-induced activation of the HMGB1/TLR4/NF-&#x3ba;B pathway by downregulating its expression. This led to a decrease in the levels of ALT, AST, and inflammatory factors in cell supernatants and rat serum, as well as reduced cell apoptosis. Furthermore, HMGB1&#x2019;s functional versatility is highlighted by its distinct roles inside and outside the cell. Intracellularly, HMGB1 is crucial for DNA maintenance, gene regulation, and the initiation of various cellular processes, while extracellular HMGB1 functions as a damage-associated molecular pattern (DAMP), triggering immune responses to alert the host to cellular damage (<xref ref-type="bibr" rid="B15">Khambu et al., 2019</xref>). Our study also found that BBR reduced the nuclear-to-cytoplasmic translocation of HMGB1, suggesting that it may decrease the proportion of HMGB1 released extracellularly, thereby reducing the activation of the damage-associated cascade triggered by HMGB1 as a DAMP molecule.</p>
<p>In summary, our findings confirm that BBR directly inhibits HMGB1 expression and its downstream signaling, particularly the TLR4/NF-&#x3ba;B pathway. This inhibition demonstrates the therapeutic value of BBR against GEF-induced liver injury and provides new insights into preventive strategies for managing GEF-associated hepatotoxicity. Our results underscore the translational potential of BBR as an adjunctive agent in clinical practice, particularly for NSCLC patients undergoing EGFR-TKI therapy.</p>
<p>This study has several limitations. First, although we elucidated the HMGB1/TLR4/NF-&#x3ba;B axis as a key pathway in GEF-induced hepatotoxicity, the multifactorial nature of DILI suggests involvement of additional mechanisms. Notably, recent evidence implicates autophagy dysregulation and endoplasmic reticulum (ER) stress in GEF-induced hepatotoxicity, which may crosstalk with HMGB1 signaling (<xref ref-type="bibr" rid="B21">Luo et al., 2021</xref>; <xref ref-type="bibr" rid="B11">Guan et al., 2022</xref>). Our study did not assess HMGB1 subcellular localization or hepatocyte apoptosis in liver tissues, nor did we examine autophagy-related responses <italic>in vivo</italic>. These limitations restrict our understanding of the full mechanistic landscape. These gaps preclude a comprehensive mechanistic understanding. To address this, we are currently conducting extended investigations evaluating HMGB1 trafficking, apoptotic cascades, and autophagic responses in preclinical models, with findings to be reported separately. Second, while we demonstrated BBR&#x2019;s anti-inflammatory efficacy, its multiple mechanisms such as antioxidant, autophagy modulation, regulation of gut microbiota metabolites, remains insufficiently investigated. Additionally, BBR&#x2019;s low oral bioavailability (&#x3c;5%) necessitates high-dose gavage administration, which differs significantly from clinical administration dosage. Future studies should address these limitations to better understand berberine&#x2019;s therapeutic potential in clinical settings.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Our study reveals that activation of the HMGB1/TLR4/NF-&#x3ba;B signaling pathway is a critical mechanism in GEF-induced liver injury. Berberine exerts significant hepatoprotective effects by downregulating HMGB1 and suppressing this inflammatory cascade. These findings suggest that BBR may serve as an effective strategy to prevent gefitinib-induced hepatotoxicity and provide novel mechanistic insights into its pathogenesis.</p>
</sec>
<sec id="s6">
<title>6 Summary</title>
<p>Our study shows that berberine (BBR) protects against gefitinib-induced liver injury by inhibiting the HMGB1/TLR4/NF-&#x3ba;B signaling pathway. <italic>In vitro</italic>, BBR reduced transaminases, inflammatory cytokines, and HMGB1 translocation induced by gefitinib. <italic>In vivo</italic>, BBR improved liver function, lowered transaminase levels, and decreased tissue damage dose-dependently. It also suppressed HMGB1, TLR4, and NF-&#x3ba;B expression at both mRNA and protein levels. These results suggest BBR as a potential strategy to protect patients from gefitinib-induced liver toxicity during non-small cell lung cancer treatment.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s14">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s8">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used. The animal study was approved by Animal Ethics Committee of Chongqing University Cancer Hospital (Chongqing, China). The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s9">
<title>Author contributions</title>
<p>QZ: Formal Analysis, Investigation, Methodology, Project administration, Writing &#x2013; original draft. NL: Investigation, Methodology, Project administration, Writing &#x2013; original draft. XM: Formal Analysis, Writing &#x2013; original draft. YQ: Formal Analysis, Project administration, Writing &#x2013; original draft. CL: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review and editing. YC: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s10">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Natural Science Foundation of Chongqing, China (grant number: cstc2021jcyj-msxmX0467), the State Key Laboratory of Neurology and Oncology Drug Development, China (grant number: SKLSIM-F-202414), and the Chongqing Natural Science Foundation Project (Chongqing Science and Technology Development Foundation), China (grant number: CSTB2024NSCQ-KJFZMSX0050).</p>
</sec>
<ack>
<p>We would like to express our heartfelt thanks to Professor Wang Ling&#x2019;s team at Sichuan University (Chengdu, China) for generously providing the THLE-3 cells used in this study. Their support has been crucial to the advancement of this work. <xref ref-type="fig" rid="F6">Figure 6</xref> was created using FigDRAW (<ext-link ext-link-type="uri" xlink:href="http://www.figdraw.com">www.figdraw.com</ext-link>) under a licensed agreement (Copyright Code: ASOSAb22b2).</p>
</ack>
<sec sec-type="COI-statement" id="s11">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s12">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s13">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s14">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1645634/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1645634/full&#x23;supplementary-material</ext-link>
</p>
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