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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">J. Pharm. Pharm. Sci.</journal-id>
<journal-title-group>
<journal-title>Journal of Pharmacy &#x26; Pharmaceutical Sciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">J. Pharm. Pharm. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1482-1826</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">15527</article-id>
<article-id pub-id-type="doi">10.3389/jpps.2025.15527</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Intrahepatic cholestasis of pregnancy associated with azathioprine: first quantitative disproportionality analysis using the FDA adverse event reporting system</article-title>
<alt-title alt-title-type="left-running-head">Kwon 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/jpps.2025.15527">10.3389/jpps.2025.15527</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Kwon</surname>
<given-names>Yonghoon</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Lee</surname>
<given-names>Nai</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3311644"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kim</surname>
<given-names>Yun</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2965155"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>College of Pharmacy, Daegu Catholic University</institution>, <city>Gyeongsan</city>, <country country="KR">Republic of Korea</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Yun Kim, <email xlink:href="mailto:ykim71@cu.ac.kr">ykim71@cu.ac.kr</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-16">
<day>16</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>28</volume>
<elocation-id>15527</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>09</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>24</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Kwon, Lee and Kim.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Kwon, Lee and Kim</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-16">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>
<sec>
<title>Introduction</title>
<p>Azathioprine (AZA) is an immunosuppressant approved for renal transplant rejection and rheumatoid arthritis. Recent FDA alerts have raised concerns about its link to intrahepatic cholestasis of pregnancy (ICP), a condition with serious maternal and fetal risks. This study used disproportionality analysis as a hypothesis-generating approach to evaluate the reporting association between AZA and ICP during pregnancy and to compare AZA with other drugs previously implicated in ICP.</p>
</sec>
<sec>
<title>Methods</title>
<p>A retrospective pharmacovigilance study was conducted using the FDA Adverse Event Reporting System (FAERS) reports from 1968 to Q2 2024. Disproportionality analysis was performed using reporting odds ratios (RORs), with statistical significance defined as a lower limit of the 95% confidence interval (CI) &#x3e;1 and at least three unique cases. Subgroup analyses were conducted by pregnancy status and underlying autoimmune indications, and comparative analyses were performed against drugs previously reported to induce ICP.</p>
</sec>
<sec>
<title>Results</title>
<p>Among 35,576 AZA-related reports, 67 specifically documented ICP. A strong signal was detected for ICP ROR025 &#x3d; 153.0; IC025 &#x3d; 5.8; EBGM05 &#x3d; 144.37), ranking among the highest AZA-associated adverse events. In pregnant women, ICP also showed a significant signal (ROR025 &#x3d; 5.46; IC025 &#x3d; 1.93; EBGM05 &#x3d; 5.31). Subgroup analyses by indication revealed elevated risks in Crohn&#x2019;s disease (ROR025 &#x3d; 66.99; IC025 &#x3d; 4.8; EBGM05 &#x3d; 64.73), and Colitis ulcerative (ROR025 &#x3d; 9.01; IC025 &#x3d; 1.95; EBGM05 &#x3d; 9.95). Comparative analyses demonstrated that AZA had a higher proportion of ICP cases than other drugs reported to induce ICP.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This pharmacovigilance analysis identifies a disproportionality signal suggesting a possible association between AZA and intrahepatic cholestasis of pregnancy. These hypothesis-generating findings underscore the importance of cautious use and clinical vigilance when prescribing AZA to women of reproductive age.</p>
</sec>
</abstract>
<kwd-group>
<kwd>azathioprine</kwd>
<kwd>intrahepatic cholestasis of pregnancy</kwd>
<kwd>pregnancy safety</kwd>
<kwd>pharmacovigilance</kwd>
<kwd>signals of disproportionate reporting</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by research grants from Daegu Catholic University in 2025 and the Gyeongsangbuk-do RISE (Regional Innovation System &#x0026; Education) project.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="12"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The thiopurine class of immunosuppressant includes azathioprine (AZA), 6-mercaptopurine (MP), and thioguanine [<xref ref-type="bibr" rid="B1">1</xref>]. These agents are widely used in clinical practice to manage immune-mediated responses in organ transplantation and autoimmune disorders [<xref ref-type="bibr" rid="B2">2</xref>]. The pharmacological mechanism of thiopurines is well established: AZA is converted to thioguanine nucleotides (TGNs) by several enzymes [<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>]. TGNs consist of thioguanine monophosphate, thioguanine diphosphate and thioguanine triphosphate [<xref ref-type="bibr" rid="B6">6</xref>]. These active metabolites exert cytotoxic and immunosuppressive effects through multiple pathways, ultimately leading to T-lymphocyte suppression and apoptosis [<xref ref-type="bibr" rid="B7">7</xref>]. Among the three agents, AZA has the longest history of regulatory approval and is indicated by the U.S. Food and Drug Administration (FDA) for preventing rejection in renal transplantation and for managing active rheumatoid arthritis by reducing signs and symptoms [<xref ref-type="bibr" rid="B8">8</xref>]. In addition, AZA and other thiopurines are frequently used off-label for chronic inflammatory diseases such as Crohn&#x2019;s disease (CD), ulcerative colitis (UC) and systemic lupus erythematosus (SLE) [<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>].</p>
<p>Despite its therapeutic benefits, AZA is associated with several adverse events (AEs), including hepatotoxicity, malignancy, cytopenias and other serious infections [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B11">11</xref>]. Among the various AEs, intrahepatic cholestasis of pregnancy (ICP) has emerged as a clinically relevant safety concern in pregnant women [<xref ref-type="bibr" rid="B12">12</xref>]. ICP is a liver disorder characterized by impaired bile flow and elevated serum bile acid levels, which are associated with adverse maternal outcomes and increased risk of preterm delivery, fetal distress, and stillbirth [<xref ref-type="bibr" rid="B13">13</xref>]. Although the exact etiology of ICP remains unclear, environmental, genetic, immunological, and hormonal factors are implicated [<xref ref-type="bibr" rid="B14">14</xref>]. Clinical manifestations of ICP may include pruritus, jaundice, right upper quadrant pain, nausea, poor appetite, or sleep disturbance [<xref ref-type="bibr" rid="B15">15</xref>]. According to FDA prescribing information, administration of AZA is not recommended during pregnancy [<xref ref-type="bibr" rid="B8">8</xref>]. However, treatment guidelines from the American College of Rheumatology and the American Gastroenterological Association suggest that continuation of AZA or MP may be appropriate in selected cases to manage underlying disease activity during pregnancy [<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>]. Therefore, careful monitoring for AZA-associated ICP is clinically important. AZA has been reported to induce transient elevations in liver enzyme levels and biochemical cholestasis [<xref ref-type="bibr" rid="B20">20</xref>].</p>
<p>Recent FDA safety communications have highlighted the potential risk of ICP associated with thiopurines, including AZA, thereby raising concerns about its safety profile in pregnant women [<xref ref-type="bibr" rid="B16">16</xref>]. While the current FDA prescribing information for AZA acknowledges the possibility of ICP and advises discontinuation upon diagnosis, it does not provide quantitative evidence to establish the strength of this association [<xref ref-type="bibr" rid="B8">8</xref>]. Furthermore, there is a lack of pharmacovigilance studies that systematically evaluate the relationship between AZA exposure and ICP during pregnancy. To our knowledge, the present work is the first quantitative pharmacovigilance analysis to assess the association between AZA and ICP using the U.S. FDA Adverse Event Reporting System (FAERS) database. In addition, we compared the disproportionality of AZA with other drugs known to cause ICP, thereby contextualizing the potential risk in pregnant women.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Data source: the FDA adverse event reporting system (FAERS)</title>
<p>The pharmacovigilance database of the FAERS was utilized for this study. The dataset includes patient demographics, drug exposure information, indication for drug use, reported AEs, and clinical outcomes [<xref ref-type="bibr" rid="B21">21</xref>]. All AEs in FAERS are coded using the Medical Dictionary for Regulatory Activities (MedDRA), an internationally standardized terminology widely employed by regulatory agencies and the pharmaceutical industry. The data structure of FAERS follows the International Council for Harmonization (ICH) E2B global safety reporting criteria.</p>
</sec>
<sec id="s2-2">
<title>Case identification, data cleaning, and deduplication procedures</title>
<p>A retrospective analysis was conducted on ICP-related AEs associated with AZA reported in FAERS from 1968 through Q2 2024. In the demographic summary for AZA-induced ICP cases, patient age was categorized into 10-year intervals and body weight into 10-kg intervals (<xref ref-type="table" rid="T1">Table 1</xref>). Reporting countries were grouped as Europe, Asia, United States, Oceania, or Not Specified. Clinical Outcomes were classified as either hospitalized or other outcomes, and reporting years were grouped into two-year intervals.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Clinical characteristics of ICP cases associated with AZA use.</p>
</caption>
<table>
<thead valign="top">
<tr style="background-color:#D9D9D9">
<th align="left">Charateristics</th>
<th align="center">ICP induced by AZA</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="2" align="left">Gender, n (%)</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">67 (97.1)</td>
</tr>
<tr>
<td align="left">Not specified</td>
<td align="center">2 (2.9)</td>
</tr>
<tr>
<td colspan="2" align="left">Age (years), n (%)</td>
</tr>
<tr>
<td align="left">20 &#x2264; and &#x3c;30</td>
<td align="center">16 (23.19)</td>
</tr>
<tr>
<td align="left">30 &#x2264; and &#x3c;40</td>
<td align="center">36 (52.17)</td>
</tr>
<tr>
<td align="left">&#x2265;40</td>
<td align="center">6 (8.7)</td>
</tr>
<tr>
<td align="left">Not specified</td>
<td align="center">11 (15.94)</td>
</tr>
<tr>
<td colspan="2" align="left">Weight (kg), n (%)</td>
</tr>
<tr>
<td align="left">50&#x2264; and &#x3c;60</td>
<td align="center">1 (1.45)</td>
</tr>
<tr>
<td align="left">60&#x2264; and &#x3c;70</td>
<td align="center">3 (4.35)</td>
</tr>
<tr>
<td align="left">Not specified</td>
<td align="center">65 (94.2)</td>
</tr>
<tr>
<td colspan="2" align="left">Report countries, n (%)</td>
</tr>
<tr>
<td align="left">US</td>
<td align="center">47 (68.12)</td>
</tr>
<tr>
<td align="left">Europe</td>
<td align="center">11 (15.94)</td>
</tr>
<tr>
<td align="left">Asia</td>
<td align="center">6 (8.7)</td>
</tr>
<tr>
<td align="left">Oceania</td>
<td align="center">3 (4.35)</td>
</tr>
<tr>
<td align="left">Not specified</td>
<td align="center">2 (2.9)</td>
</tr>
<tr>
<td colspan="2" align="left">Outcome, n (%)</td>
</tr>
<tr>
<td align="left">Hospitalized</td>
<td align="center">9 (12.33)</td>
</tr>
<tr>
<td align="left">Other outcomes</td>
<td align="center">64 (87.67)</td>
</tr>
<tr>
<td colspan="2" align="left">Reporting year, n (%)</td>
</tr>
<tr>
<td align="left">1968&#x2013;2015</td>
<td align="center">1 (1.45)</td>
</tr>
<tr>
<td align="left">2016&#x2013;2017</td>
<td align="center">1 (1.45)</td>
</tr>
<tr>
<td align="left">2018&#x2013;2019</td>
<td align="center">3 (4.35)</td>
</tr>
<tr>
<td align="left">2020&#x2013;2021</td>
<td align="center">45 (65.22)</td>
</tr>
<tr>
<td align="left">2022&#x2013;2023</td>
<td align="center">11 (15.94)</td>
</tr>
<tr>
<td align="left">2024 Q2</td>
<td align="center">8 (11.59)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>n, number of reporting cases, intrahepatic cholestasis of pregnancy, ICP; azathioprine, AZA.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Case identification was based on preferred terms (PTs) in MedDRA. ICP-related PTs were selected from categories within the same System Organ Class (SOC: hepatobiliary disorders) as ICP. Representative PTs included Hepatitis, Drug-induced Liver Injury, Hepatic Cirrhosis, Liver Injury, Cholestasis, Jaundice, Non-alcoholic Fatty Liver, Cholestasis of Pregnancy, Nodular Regenerative Hyperplasia, and Foetor Hepaticus, which reflect the major hepatobiliary manifestations relevant to ICP. A complete list of all PTs used in this classification is provided in <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>.</p>
<p>Duplicate reports were removed using a two-step procedure. First, deduplication was performed by sorting and comparing records across seven clinical variables active ingredient, indication, reported PT, patient sex, event date, age, and reporting country. Entries matching across all variables were considered duplicates and removed. Second, a manual review was performed to identify potential residual duplicates, particularly cases in which the same patient appeared to have been reported more than once with slightly differing details. These records were further compared based on demographics, event timing, and AE descriptions to distinguish true duplicates from unique cases. After deduplication, the dataset was filtered to include only female patients who had received AZA.</p>
<p>To further refine case selection, pregnant women were identified through pregnancy-related PTs (pregnancy, first trimester pregnancy, second trimester pregnancy, third trimester pregnancy, and exposure during pregnancy) as well as reporter-provided pregnancy information, ensuring accurate classification of pregnancy-associated events. In addition, subgrouping by clinical indication (e.g., Crohn&#x2019;s disease, ulcerative colitis, systemic lupus erythematosus) was performed to evaluate whether safety signals differed across relevant autoimmune conditions.</p>
</sec>
<sec id="s2-3">
<title>Statistical framework for signal detection</title>
<sec id="s2-3-1">
<title>Disproportionality analysis</title>
<p>The primary aim of this pharmacovigilance study was to evaluate the potential association between AZA and ICP using multiple disproportionality methods. Three complementary signal detection approaches were applied to enhance robustness and reduce the risk of false-positive findings [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>]. First, the Reporting Odds Ratio (ROR) was calculated by comparing the frequency of AZA&#x2013;ICP reports with all other drug&#x2013;event pairs in FAERS. RORs were computed using MedDRA PTs identified as the primary suspected AEs of AZA. A disproportionality signal was defined when the lower bound of the 95% confidence interval (CI) exceeded 1.0, and at least three unique cases remained after deduplication. Second, the Information Component (IC) from the Bayesian Confidence Propagation Neural Network (BCPNN) was generated to provide an additional Bayesian assessment of disproportionate reporting. A signal was considered present when IC025 (the lower 95% CI bound) exceeded zero. Third, a Bayesian shrinkage method based on the Multi-Item Gamma Poisson Shrinker (MGPS) algorithm was used to calculate the Empirical Bayes Geometric Mean (EBGM), and a positive Bayesian signal was defined as EB05 &#x3e; 2, where EB05 represents the lower 90% confidence bound [<xref ref-type="bibr" rid="B24">24</xref>].</p>
</sec>
<sec id="s2-3-2">
<title>Subgroup analyses in pregnancy and autoimmune indications</title>
<p>To further explore population-specific safety signals, subgroup analyses were performed in pregnant women and in patients with autoimmune diseases commonly treated with AZA. First, a broad ICP-coded set included all AZA-related reports in which the adverse event PT explicitly contained &#x201c;intrahepatic cholestasis of pregnancy,&#x201d; regardless of whether pregnancy status was independently verified. This set was used for the primary disproportionality screen. Second, a pregnancy-verified subset consisted of ICP reports in which pregnancy was independently confirmed through pregnancy-related PTs or FAERS reporter fields. Pregnancy-specific interpretations were based on this verified subset. Three clinically relevant subgroups were defined:<list list-type="bullet">
<list-item>
<p>Group 1: Female patients administered AZA (overall female exposure).</p>
</list-item>
<list-item>
<p>Group 2: Pregnant women receiving AZA, identified using pregnancy-related PTs and reporter confirmation.</p>
</list-item>
<list-item>
<p>Group 3: Female patients with autoimmune indications, including CD, UC, or SLE.</p>
</list-item>
</list>
</p>
<p>For subgroups with a high number of reported PTs, only the top 20&#xa0;PTs were summarized in the main figures, ranked by descending ROR, while complementary Bayesian measures (IC and EBGM) were additionally provided in the <xref ref-type="sec" rid="s12">Supplementary Material</xref> to support the robustness of the detected signals.</p>
<p>To ensure transparency in how ICP-related hepatobiliary events were identified in pregnant women, the specific PTs used in this classification are listed below, grouped by their respective SOCs:<list list-type="simple">
<list-item>
<p>&#x2022; Hepatobiliary Disorders: Representative PTs included Hepatic Cirrhosis, Drug-induced Liver Injury, Hepatitis, Liver Injury, ICP, Cholestasis, Liver Disorder, and Jaundice.</p>
</list-item>
<list-item>
<p>&#x2022; Investigations: Representative PTs included Liver Function Test Increased, Hepatic Enzyme Increased, Liver Function Test Abnormal, Blood Bilirubin Increased, Aspartate Aminotransferase Increased, and Alanine Aminotransferase Increased.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2-3-3">
<title>Comparative risk assessment with other ICP-inducing drugs</title>
<p>A comparative disproportionality analysis was conducted to contextualize the risk of ICP associated with AZA relative to other medications previously reported to induce ICP. In this analysis, we computed ROR, IC, and EBGM for AZA and compared them with those of established ICP-inducing drugs. In addition, the proportion of ICP-related reports attributed to AZA was compared with the corresponding proportions for these comparator drugs (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Distribution of ICP reports for AZA and other ICP-inducing drugs.</p>
</caption>
<graphic xlink:href="jpps-28-15527-g001.tif">
<alt-text content-type="machine-generated">Bar chart illustrating the percentage of immune checkpoint inhibitor (ICP)-inducing drugs in total adverse events (AE). Azathioprine leads with the highest percentage (67 out of 17,744), followed by Propranolol Hydrochloride and Progesterone. The chart lists several drugs along the vertical axis, with their respective values labeled on the horizontal bars.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-3-4">
<title>Software, reporting standards, and ethical considerations</title>
<p>All statistical analyses were performed using Microsoft Excel 2019 (Microsoft Corp., Redmond, WA, USA) and GraphPad Prism version 8 (GraphPad Software, San Diego, CA, USA). Graphical visualizations were generated using GraphPad Prism.</p>
<p>This study did not require institutional review board approval because it was based on de-identified, voluntarily submitted, publicly available reports. To ensure transparency and reproducibility, the study adhered to the REporting of A Disproportionality Analysis for DrUg Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV) criteria [<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>].</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Clinical profile of azathioprine-associated ICP cases</title>
<p>The analysis identified 35,576 adverse event reports related to AZA in FAERS database, among which 67 reports were coded with the preferred term &#x201c;intrahepatic cholestasis of pregnancy&#x201d; (ICP) (<xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>). Of these, 18 had independent confirmation of pregnancy through pregnancy-related preferred terms or reporter fields, and this pregnancy-verified subset was used for pregnancy-specific analyses. The age group 30&#x2013;39&#xa0;years accounted for the highest proportion of ICP cases (52.17%). In terms of geography, US represented the largest proportion of ICP reports (68.12%). In the outcome category, 9 cases (12.33%) were reported as hospitalized and 64 cases (87.67%) were classified under other outcomes. Some reports listed more than one outcome for the same case, so the total number of outcomes (n &#x3d; 73) is higher than the number of ICP cases. Regarding reporting year, the period 2020&#x2013;2021 showed the highest reporting frequency (65.22%). Only one ICP case was reported before 2016; therefore, all reports from 1968 to 2015 were grouped into a single category to avoid sparse data, while subsequent years were grouped in 2-year intervals due to the increase in reporting volume (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Flowchart of case identification, deduplication, and data processing steps.</p>
</caption>
<graphic xlink:href="jpps-28-15527-g002.tif">
<alt-text content-type="machine-generated">Subgroup analysis chart presents reporting odds ratios (ROR) with 95% confidence intervals for three conditions: Crohn&#x27;s disease (ROR 93.64), colitis ulcerative (ROR 18.15), and systemic lupus erythematosus (ROR 6.72). ROR is plotted on a logarithmic scale, indicating more significant associations for Crohn&#x27;s disease and decreasing significance for the other conditions. Data includes number of reporting cases and confidence intervals.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<title>Disproportionality signals of ICP-related preferred terms in women exposed to azathioprine</title>
<p>In the signals of disproportionate reporting analysis of ICP-related PTs among female patients administered AZA, the strongest signals were observed for ICP (ROR025 &#x3d; 153; IC025 &#x3d; 5.8; EBGM05 &#x3d; 131.6), Non-Alcoholic Fatty Liver (ROR025 &#x3d; 113.69; IC025 &#x3d; 5.31; EBGM05 &#x3d; 115.31), Foetor Hepaticus (ROR025 &#x3d; 72.28; IC025 &#x3d; 0.7; EBGM05 &#x3d; 182.72), and Nodular Regenerative Hyperplasia (ROR025 &#x3d; 63.33; IC025 &#x3d; 4.14; EBGM05 &#x3d; 75.76) (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). Notably, the lower bound of the 95% CI for the ROR exceeded 100 for ICP and Non-Alcoholic Fatty Liver, indicating robust statistical signals.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Disproportionality signals for ICP-related PTs in female patients treated with AZA.</p>
</caption>
<graphic xlink:href="jpps-28-15527-g003.tif">
<alt-text content-type="machine-generated">Forest plot showing the ROR (risk odds ratio) with 95% CI for various ICR-related PTs in female patients administered with AZA. Conditions include Foetor Hepaticus, Cholestasis of Pregnancy, Non-Alcoholic Fatty Liver, and others. The x-axis represents the ROR in a logarithmic scale from 1 to 10000, indicating the association strength between each condition and AZA administration.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>Pregnancy-specific safety signals: ICP and hepatobiliary events in women receiving azathioprine</title>
<p>Among pregnant women exposed to AZA, ICP-related PTs were identified from the SOCs Hepatobiliary Disorders and Investigations (<xref ref-type="fig" rid="F4">Figure 4</xref>). Pregnant women in this analysis were identified through pregnancy-related preferred terms or reporter fields, comprising a pregnancy-verified subset of 18 cases.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Disproportionality signals for ICP-related events in pregnant women exposed to AZA. Disproportionality analysis of ICP reports in pregnant female patients treated with AZA.</p>
</caption>
<graphic xlink:href="jpps-28-15527-g004.tif">
<alt-text content-type="machine-generated">Bar graph showing the relative reporting odds ratio (ROR) of liver-related preferred terms (PTs) in pregnant females administered with AZA. Terms include conditions like hepatic cirrhosis and cholestasis of pregnancy. Each PT is plotted with ROR in log scale against a confidence interval. A table below summarizes the data, including count, ROR, confidence interval, IC, and EBGM values for each PT. The title and axes provide additional context.</alt-text>
</graphic>
</fig>
<p>In this subgroup, ICP demonstrated a significant signal of disproportionate reporting (ROR025 &#x3d; 5.46; IC025 &#x3d; 1.93; EBGM05 &#x3d; 5.31). Within the Hepatobiliary Disorders SOC, the lower 95% CI limits for Hepatic Cirrhosis (ROR025 &#x3d; 34.16; IC025 &#x3d; 3.87; EBGM05 &#x3d; 21.2), Drug-induced Liver Injury (ROR025 &#x3d; 34.38; IC025 &#x3d; 4.07; EBGM05 &#x3d; 20.85), Hepatitis (ROR025 &#x3d; 22.74; IC025 &#x3d; 3.45; EBGM05 &#x3d; 16.44), Liver Injury (ROR025 &#x3d; 7.72; IC025 &#x3d; 2.55; EBGM05 &#x3d; 6.85), and Cholestasis (ROR025 &#x3d; 2.67; IC025 &#x3d; 0.89; EBGM05 &#x3d; 2.83) all exceeded 1.0, confirming significant signals. Similarly, in Investigations, Liver Function Test Increased (ROR025 &#x3d; 23.0; IC025 &#x3d; 3.56; EBGM05 &#x3d; 16.47), and Hepatic Enzyme Increased (ROR025 &#x3d; 10.07; IC025 &#x3d; 2.87; EBGM05 &#x3d; 8.04) met signal detection criteria.</p>
</sec>
<sec id="s3-4">
<title>Subgroup disproportionality in autoimmune diseases (CD, UC, SLE)</title>
<p>In subgroup analysis, AZA use in patients with underlying autoimmune diseases was significantly associated with ICP (<xref ref-type="fig" rid="F5">Figure 5</xref>). Specifically, signals of disproportionate reporting were observed in Crohn&#x2019;s disease (ROR025 &#x3d; 66.99; IC025 &#x3d; 4.8; EBGM05 &#x3d; 64.73) and Colitis ulcerative (ROR025 &#x3d; 9.01; IC025 &#x3d; 1.95; EBGM05 &#x3d; 9.95).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>ICP disproportionality signals in autoimmune disease subgroups among AZA users. ICP in female patients with CD, UC, or SLE treated with AZA.</p>
</caption>
<graphic xlink:href="jpps-28-15527-g005.tif">
<alt-text content-type="machine-generated">Subgroup analysis chart showing Reporting Odds Ratio (ROR) for Crohn&#x27;s disease, colitis ulcerative, and systemic lupus erythematosus on a log scale with 95% confidence intervals. Crohn&#x27;s disease shows the highest ROR. Table below provides details: Crohn&#x27;s disease (n=38, ROR=93.64, IC=5.34), colitis ulcerative (n=8, ROR=18.15, IC=3.16), systemic lupus erythematosus (n=3, ROR=6.72, IC=1.88).</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5">
<title>Comparative risk assessment: azathioprine versus other ICP-inducing drugs</title>
<p>Comparative disproportionality analysis revealed that AZA was associated with a markedly elevated reporting signal of ICP compared with other ICP-inducing drugs (<xref ref-type="fig" rid="F6">Figure 6</xref>). The strongest signals were observed for Adalimumab (ROR025 &#x3d; 77.5; IC025 &#x3d; 3.75; EBGM05 &#x3d; 16.65), Infliximab (ROR025 &#x3d; 18.26; IC025 &#x3d; 2.22; EBGM05 &#x3d; 5.25), Prednisone (ROR025 &#x3d; 13.51; IC025 &#x3d; 1.82; EBGM05 &#x3d; 3.93), and Tacrolimus (ROR025 &#x3d; 10.25; IC025 &#x3d; 1.35; EBGM05 &#x3d; 2.82).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Comparative analysis of azathioprine and other ICP-inducing drugs. Comparison of ICP case reports in female patients between azathioprine and other ICP-related drugs. n, number of reporting cases; ROR, Reporting Odds Ratio; CI, Confidence Interval; intrahepatic cholestasis of pregnancy, ICP; azathioprine, AZA.</p>
</caption>
<graphic xlink:href="jpps-28-15527-g006.tif">
<alt-text content-type="machine-generated">Chart comparing the risk of ICP with Azathioprine against other ICP-inducing drugs. Drugs are listed on the left, with ROR (95% CI) values on a logarithmic scale across the bottom. A table on the right provides data including the number of cases, ROR, IC, and EBGM for each drug. Azathioprine is used as a reference point.</alt-text>
</graphic>
</fig>
<p>Among all ICP-inducing drugs analyzed, AZA accounted for the highest proportion of ICP reports (67 cases; 0.38%, <xref ref-type="fig" rid="F6">Figure 6</xref>). For comparison, other drugs with relatively high percentages of ICP reports included Propranolol Hydrochloride (24 cases; 0.20%), Progesterone (12 cases; 0.17%), Tenofovir Disoproxil Fumarate (11 cases; 0.14%), and Hydroxyprogesterone Caproate (16 cases; 0.13%). Nevertheless, AZA demonstrated the most prominent disproportionality, both in terms of absolute number and relative percentage of ICP cases.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study suggests a significant association between AZA use and ICP, supporting the need for heightened clinical monitoring and risk management when prescribing AZA to pregnant patients. Our analysis revealed a markedly elevated ROR for ICP with AZA (ROR025 &#x3d; 153.0; IC025 &#x3d; 5.8; EBGM05 &#x3d; 144.37), and pregnancy-specific subgroup analyses further identified significant signals, including ICP itself (ROR025 &#x3d; 5.46; IC025 &#x3d; 1.93; EBGM05 &#x3d; 5.31) and hepatobiliary events such as drug-induced liver injury (ROR025 &#x3d; 34.38; IC025 &#x3d; 4.07; EBGM05 &#x3d; 20.85). Additional subgroup analyses identified significant signals in patients with Crohn&#x2019;s disease (ROR025 &#x3d; 66.99; IC025 &#x3d; 4.8; EBGM05 &#x3d; 64.73), and Colitis ulcerative (ROR025 &#x3d; 9.01; IC025 &#x3d; 1.95; EBGM05 &#x3d; 9.95). We also observed that the proportion of ICP reports for AZA (67 cases among 17,744 reports) was higher than that of other ICP-inducing drugs, approximately two-fold greater in relative percentage. To our knowledge, this is the first quantitative disproportionality analysis specifically evaluating AZA-associated ICP. By combining subgroup and comparative analyses, we attempted to strengthen the reliability of the signal and provide a more comprehensive understanding of this association. Importantly, pregnancy-specific interpretations in this study are based on the pregnancy-verified subset (n &#x3d; 18), whereas the broader disproportionality signal reflects the full ICP-coded set (n &#x3d; 67). This distinction should be considered when interpreting the findings for pregnant women.</p>
<p>We hypothesize that several factors may contribute to this phenomenon. One proposed mechanism involves pregnancy-related hormonal modulation of thiopurine metabolism. During pregnancy, changes in enzyme activity, including thiopurine S-methyltransferase, may alter the balance of AZA metabolism toward 6-mercaptopurine (6-MP), thereby increasing the generation of hepatotoxic metabolites [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B27">27</xref>]. This metabolic diversion could amplify cholestatic effects in susceptible individuals. Additionally, AZA has been documented to cause transient elevations in liver enzyme levels and biological cholestasis [<xref ref-type="bibr" rid="B20">20</xref>]. Consistent with this, a French case series reported six women with IBD on AZA who developed atypical and more severe ICP earlier in pregnancy [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B28">28</xref>]. In these patients, bile acid levels were markedly elevated despite normal liver enzymes, and abnormalities persisted despite UDCA therapy but resolved upon AZA discontinuation [<xref ref-type="bibr" rid="B28">28</xref>]. Such clinical evidence supports a potential causal role of AZA in exacerbating ICP.</p>
<p>Beyond individual case descriptions, the documented patterns of AZA-related hepatotoxicity offer mechanistic support for its potential to contribute to cholestatic conditions such as ICP. Early in therapy, elevations in aminotransferases have been linked to higher levels of methyl-mercaptopurine, a metabolite formed during AZA biotransformation and known to exert direct toxic effects on hepatocytes [<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>]. AZA can also induce an acute cholestatic injury, typically presenting within 2&#x2013;12 months and characterized histologically by intrahepatic cholestasis with focal hepatocellular necrosis and scant inflammation. This &#x201c;bland cholestasis&#x201d; pattern described as similar to the cholestasis observed with estrogens suggests impaired bile flow rather than immune-mediated hepatitis. Chronic thiopurine exposure has also been associated with sinusoidal dilation, portal venopathy, and nodular regenerative hyperplasia, reflecting structural disturbances that may interfere with biliary drainage. Rarely, prolonged cholestasis or vanishing bile duct syndrome has been described, and long-term thiopurine use has been associated with hepatocellular carcinoma and hepatosplenic T-cell lymphoma [<xref ref-type="bibr" rid="B31">31</xref>]. Considering these mechanisms and disease features together offers a clear biological explanation for the strong cholestasis risk observed. This strongly suggests that AZA could make cholestasis worse, especially during pregnancy.</p>
<p>ICP itself is a multifactorial disorder in which several converging risk factors impair bile acid homeostasis [<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B32">32</xref>]. Genetic variants in hepatobiliary transporters and nuclear receptors (e.g., ABCB4/MDR3, ABCB11/BSEP, ABCC2, NR1H4/FXR) predispose individuals to defective bile secretion and intrahepatic bile acid accumulation [<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>]. Pregnancy-specific hormonal changes, particularly elevated sulfated progesterone metabolites (e.g., epiallopregnanolone sulfate) and estradiol, can downregulate BSEP expression and attenuate FXR signaling, thereby reducing bile acid clearance. In parallel, an imbalance in maternal immune responses, including increased IL-6, IL-12, IL-17, and TNF-&#x3b1; and reduced IL-4, may exacerbate hepatocellular injury [<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>]. The convergence of these genetic, hormonal, and immunological influences with AZA&#x2019;s hepatotoxic potential offers a plausible biological basis for the disproportionately high ROR for ICP observed in our analysis.</p>
<p>Beyond these biological mechanisms, disease-specific clinical and therapeutic factors may further explain the gradient in signal intensity observed across CD, UC, and SLE. Thiopurine exposure patterns during pregnancy differ across these conditions: CD carries a higher risk of flare, leading most patients to maintain thiopurine therapy throughout gestation, whereas UC is more often managed with lower or intermittent exposure. Real-world pregnancy registry data reinforce this difference. In the large prospective PIANO cohort, 41% of women with UC received no thiopurine or biologic therapy during pregnancy, compared with only 16% of those with CD [<xref ref-type="bibr" rid="B35">35</xref>]. Pregnant women with CD also demonstrated higher use of biologic-thiopurine combination therapy (18% vs. 11% in UC) and greater reliance on sustained immunomodulator treatment, resulting in markedly higher cumulative thiopurine exposure. In contrast, treatment strategies for SLE pregnancies differ fundamentally from those used in IBD. Management generally centers on hydroxychloroquine and low-dose corticosteroids, and when azathioprine is prescribed, it is typically administered at lower doses consistent with rheumatology guidelines recommending &#x2264;2&#xa0;mg/kg/day [<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>]. As a result, cumulative thiopurine exposure in SLE is considerably lower than in CD or UC. It is also important to acknowledge that the SLE subgroup in our dataset comprised only three ICP cases, raising the possibility that the weaker signal observed (ROR025 &#x3d; 2.16; IC025 &#x3d; &#x2212;0.19; EBGM05 &#x3d; 2.58) may reflect the small number of available reports, rather than indicating that no association exists.</p>
<p>This study has several limitations. First, inherent bias of disproportionality analyses and spontaneous reporting systems such as FAERS apply to this study. Underreporting and reporting biases are unavoidable, and although extensive deduplication was performed, some residual duplicates may remain. Moreover, the association between azathioprine and ICP observed in this analysis cannot be interpreted as causal. Disproportionality analyses do not allow for estimation of incidence, prevalence, or comparative risk due to the absence of reliable drug utilization data and background exposure rates in the FAERS database [<xref ref-type="bibr" rid="B38">38</xref>]. Given the observational design and reliance on voluntary spontaneous reports, the findings should be considered hypothesis-generating, and not interpreted as evidence of causality or as a quantification of absolute or comparative risk. Second, temporal bias may also have affected the observed disproportionality signal, as reporting patterns related to azathioprine or intrahepatic cholestasis of pregnancy may vary over time in response to regulatory alerts, increased clinical awareness, or media coverage. Third, potential confounding factors such as differences in disease severity, pregnancy status, and concomitant immunosuppressive therapies may have influenced the reporting patterns. In addition, indication bias and cumulative exposure should be considered, as azathioprine has been widely used for decades in chronic autoimmune conditions like CD, UC and SLE, which themselves may increase the risk of ICP. These factors make it difficult to determine whether the observed signal is attributable to azathioprine, the underlying disease, or their interaction. Finally, the mechanistic explanation presented in this study is based on a synthesis of existing literature and should be regarded as hypothesis-generating rather than conclusive, as this study did not directly assess biological mechanisms. Despite these limitations, we mitigated bias by conducting subgroup and comparative analyses, which consistently demonstrated elevated disproportionality signals for AZA-associated ICP.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In conclusion, this pharmacovigilance analysis identifies a novel disproportionality signal suggesting a possible association between AZA exposure and reports of intrahepatic cholestasis of pregnancy. Given the clinical importance of both disease control and maternal&#x2013;fetal safety, clinicians should weigh the benefits of AZA therapy against the potential risk of ICP and consider enhanced monitoring strategies, especially in women of reproductive age with autoimmune diseases. Future prospective studies and mechanistic investigations are warranted to validate these findings and to clarify the underlying biological pathways.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>This study did not require institutional review board approval because it was based on de-identified, voluntarily submitted, publicly available reports.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>YoK: Conceptualization, Data curation, Methodology, Formal analysis, Software, Investigation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. NL: Data curation, Methodology, Formal analysis, Software, Investigation, Visualization, Validation, Writing &#x2013; original draft, Writing &#x2013; review and editing. YuK: Conceptualization, Data curation, Methodology, Formal analysis, Software, Validation, Funding acquisition, Writing &#x2013; review and editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>The authors wish to thank all the study participants and the research staff at the College of Pharmacy Daegu Catholic University.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The author(s) 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>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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="supplementary-material" id="s12">
<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.frontierspartnerships.org/articles/10.3389/jpps.2025.15527/full#supplementary-material">https://www.frontierspartnerships.org/articles/10.3389/jpps.2025.15527/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2019860/overview">Reza Mehvar</ext-link>, Chapman University, United States</p>
</fn>
</fn-group>
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