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<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
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<journal-title>Frontiers in Medicine</journal-title>
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<article-id pub-id-type="doi">10.3389/fmed.2026.1798711</article-id>
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<subject>Editorial</subject>
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<article-title>Editorial: Exploring adverse drug reactions: monitoring, mechanism, intervention, and resolution</article-title>
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<name><surname>Tao</surname> <given-names>Li</given-names></name>
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<name><surname>Li</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Wu</surname> <given-names>Yunhao</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Shan</surname> <given-names>Yunlong</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<aff id="aff1"><label>1</label><institution>Faculty of Medicine, Yangzhou University</institution>, <city>Yangzhou</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Laboratory of Cancer Immunometabolism, Center for Cancer Research, National Cancer Institute, NIH</institution>, <city>Frederick, MD</city>, <country country="us">United States</country></aff>
<aff id="aff3"><label>3</label><institution>Medical Science and Technology Innovation Center, Shandong First Medical University, Jinan</institution>, <city>Shandong</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing</institution>, <city>Jiangsu</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Li Tao, <email xlink:href="mailto:imlitao@yzu.edu.cn">imlitao@yzu.edu.cn</email>; Xin Li, <email xlink:href="mailto:xinlinih@hotmail.com">xinlinih@hotmail.com</email>; Yunhao Wu, <email xlink:href="mailto:yhwu@sdfmu.edu.cn">yhwu@sdfmu.edu.cn</email>; Yunlong Shan, <email xlink:href="mailto:immunometabolism@163.com">immunometabolism@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-26">
<day>26</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1798711</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>06</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Tao, Li, Wu and Shan.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Tao, Li, Wu and Shan</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-26">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>
<kwd-group>
<kwd>adverse drug reactions (ADRs)</kwd>
<kwd>causality attribution</kwd>
<kwd>machine learning</kwd>
<kwd>precision safety management</kwd>
<kwd>proactive pharmacovigilance</kwd>
</kwd-group>
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<meta-value>Translational Medicine</meta-value>
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<notes notes-type="frontiers-research-topic">
<p>Editorial on the Research Topic <ext-link xlink:href="https://www.frontiersin.org/research-topics/69851/exploring-adverse-drug-reactions-monitoring-mechanism-intervention-and-resolution" ext-link-type="uri">Exploring adverse drug reactions: monitoring, mechanism, intervention, and resolution</ext-link></p></notes>
</front>
<body>
<p>Adverse drug reactions (ADRs) continue to challenge health systems worldwide and represent the most important cause of treatment failure and high healthcare cost burden. With the rapid development and adoption of innovative therapies, such as targeted therapies, immunotherapies, biologics, and personalized treatment regimens, the spectrum of ADRs has become increasingly diverse and idiosyncratic, leading to unprecedented levels of clinical uncertainty. Despite advances in active surveillance, there is still a significant unmet need to optimize interventions to prevent or mitigate ADRs. Traditionally, ADRs have been identified and managed appropriately through routine observation and effective symptom control. However, accumulating evidence suggests that increasing ADRs arise from undefinable biological processes, including interindividual variability, delayed onset time patterns, and complex clinical trajectories, <italic>etc</italic>.</p>
<p>This Research Topic gathers different contributions to provide a comprehensive and integrative exploration of ADRs in a wide-ranging clinical setting, spanning mechanistic studies, causality analysis, risk factor identification, monitoring strategies, and emerging predictive approaches, which aims to establish a precision-oriented framework for advancing the proactive management of ADRs. The 15 studies included in this Research Topic collectively demonstrate that modern pharmacovigilance is no longer limited to predefined causal assessment. Instead, it has shifted toward the comprehensive capture and interpretation of complex clinical events, embracing a full continuum of patient-specific responses across various biological contexts.</p>
<sec id="s1">
<title>Proactive monitoring</title>
<p>This Research Topic highlights the importance of systematically characterizing delayed or atypical ADRs. For example, clinically significant immune-related adverse events with multisystem involvement emerge long after treatment initiation or even following drug discontinuation, underscoring how delayed onset may lead to repeated exposure and life-threatening outcomes if early causality attribution fails. As illustrated by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1590714">Hao et al.</ext-link>, sintilimab-induced colitis progresses to intestinal obstruction and hemorrhage despite initial corticosteroid therapy. Early endoscopic evaluation, timely escalation to biologic agents, and multidisciplinary management are crucial to mitigate severe complications. Vigilant monitoring and individualized treatment plans are essential for improving outcomes in high-risk patients (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1590714">Hao et al.</ext-link>). Osilodrostat is a novel steroidogenesis inhibitor for the treatment of Cushing&#x00027;s syndrome. However, prolonged endocrine suppression may persist even after the discontinuation of osilodrostat, potentially due to extensive off-target effects (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1629387">Dzialach et al.</ext-link>). In addition, investigations into postacute COVID-19 vaccination syndrome also highlight the need to establish systematic efforts for long-term and delayed adverse events, challenging the conventional temporal bounds of pharmacovigilance frameworks (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1688170">Halma and Varon</ext-link>).</p>
<p>Machine learning-based prediction models have a considerable positive impact on proactive risk identification and stratification. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fendo.2025.1684395">Yue et al.</ext-link> recognized gastrointestinal comorbidities, alcohol consumption, and concomitant medication use as key multifactorial, pathology-driven risk factors for semaglutide-associated adverse events. A logistic regression-based nomogram scoring tool was subsequently developed to estimate the risk of semaglutide-induced gastrointestinal adverse events (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fendo.2025.1684395">Yue et al.</ext-link>). Similarly, machine learning algorithms such as XGBoost were employed to stratify key determinants, such as IL-6, distinguishing outcomes between mono- and multimodal treatment strategies in pancreatic cancer patients (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1629324">Fan et al.</ext-link>). <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1573943">Wang X. et al.</ext-link> evaluated the association between KRT8 expression and the development of immune-related pneumonitis (IRP) via statistical models, including multivariate logistic regression, bootstrap validation, and Bayesian analysis, suggesting that elevated KRT8 expression in tumor tissue may serve as a potential biomarker for predicting IRP in lung adenocarcinoma patients receiving immunotherapy.</p></sec>
<sec id="s2">
<title>Underlying mechanisms</title>
<p>At the core of biologically relevant heterogeneity lies the molecular interaction between drugs and biological systems that drives diverse adverse events. Several studies in this Research Topic provide a mechanistic dissection of adverse events, unraveling the complex causal chains between drug exposure and clinical manifestations. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1579285">Zhang Y. et al.</ext-link> revealed that ibrutinib induces auditory cell apoptosis and hearing loss by inhibiting GPR83-AKT signaling. GPR83 overexpression activates AKT to protect auditory cells, while the caspase inhibitor Z-VAD-FMK mitigates ototoxicity. These findings identify GPR83-AKT as a potential target for preventing chemotherapy-induced hearing loss (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1579285">Zhang Y. et al.</ext-link>).</p>
<p>Rare events such as paroxetine-induced pancreatitis have been confirmed through involuntary rechallenge in the absence of conventional risk factors. Paroxetine may induce pancreatitis through multiple nonexclusive mechanisms. Elevated serotonin levels caused by SERT inhibition can impair &#x003B2;-cell function and disrupt insulin and exocrine secretion. Additionally, reactive catechol metabolites and individual genetic polymorphisms in CYP2D6/CYP2C19 may trigger T-cell-mediated hypersensitivity reactions, further contributing to pancreatic injury (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1688065">Wu Y. et al.</ext-link>). Tranexamic acid (TXA) is a synthetic lysine analog that inhibits fibrinolysis to reduce perioperative bleeding during posterior lumbar interbody fusion (PLIF). TXA reduces perioperative blood loss in PLIF primarily by inhibiting the fibrinolytic system, stabilizing fibrin clots, protecting coagulation components, and exerting beneficial anti-inflammatory actions without significantly increasing systemic thrombotic risk when used at appropriate doses (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1612281">Dong et al.</ext-link>).</p></sec>
<sec id="s3">
<title>Effective interventions</title>
<p>Several studies have demonstrated that natural compounds can simultaneously increase therapeutic efficacy and mitigate toxicity by modulating convergent signaling pathways involved in the immune response. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1616894">Tao, Chang, et al.</ext-link> demonstrated that cycloastragenol (CAG) inhibits the JAK/STAT5 signaling pathway, reducing the levels of the neutrophil chemotactic cytokines CXCL3 and CCL5, thereby limiting neutrophil infiltration into brain metastases and enhancing the efficacy of radiotherapy. Concurrently, CAG suppresses the IKK/NF-&#x003BA;B pathway, promotes microglia/macrophage polarization toward an anti-inflammatory phenotype, mitigates neuroinflammation, and protects brain function from radiation-induced injury (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1616894">Tao, Chang, et al.</ext-link>). In addition, homoplantaginin alleviates DSS-induced ulcerative colitis in mice by modulating the MMP9-RLN2 signaling axis, reducing proinflammatory cytokines and immune cell infiltration while protecting the intestinal barrier (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1582066">Tao, Shao, et al.</ext-link>). Similarly, Folium isatidis and its active ingredients mitigate COPD-related lung lesions by correcting aberrant immune cell infiltration, restoring immune homeostasis, and improving pulmonary function (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1584411">Wang F. et al.</ext-link>).</p></sec>
<sec id="s4">
<title>Systematic resolutions</title>
<p>Evidence-based approaches provide the foundation for managing ADRs by identifying risk factors, quantifying incidence, and evaluating intervention efficacy. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1589531">Wu T. et al.</ext-link> analyzed 1,026 patients receiving methylprednisolone sodium succinate in the treatment for idiopathic sudden sensorineural hearing loss, highlighting evidence-based solutions such as preemptive proton pump inhibitor use for gastrointestinal protection, regular monitoring of blood glucose and blood pressure, individualized dose adjustments and a closed-loop &#x0201C;assessment-intervention-reassessment&#x0201D; management strategy to minimize severe ADRs. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1665823">Li et al.</ext-link> summarized the best evidence for precision management of EGFR inhibitor-induced skin across cancer types and different EGFR inhibitors, emphasizing early prophylactic measures, patient education, symptom-guided topical or systemic therapy, and the integration of dermatology and oncology teams to prevent progression and maintain therapy adherence. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1643780">Liu et al.</ext-link> evaluated the safety of gemtuzumab ozogamicin via real-world FDA adverse event reports. The primary risks include hepatic veno-occlusive disease (VOD) and infections secondary to myelosuppression, warranting vigilant pharmacovigilance, organ function monitoring, infection prevention, and individualized dose adjustments to mitigate hematologic and hepatic toxicity. Newly identified signals, such as coagulation disorders and cryptogenic organizing pneumonia (COP), further underscore the need to expand safety monitoring (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmed.2025.1643780">Liu et al.</ext-link>).</p>
<p>Taken together, these 15 studies illustrate that ADRs should no longer be regarded as unpredictable accidents addressed solely through symptom interventions. Instead, ADRs are biologically traceable and proactively manageable. By leveraging machine learning and artificial intelligence to identify risk factors and biomarkers, mechanistic insights to clarify causality, and evidence-based strategies to translate biological signals into clinical imperatives, modern pharmacovigilance is shifting from passive observation toward proactive management. Importantly, predictive analytics tools and longitudinal monitoring will be essential for achieving the ultimate balance between therapeutic efficacy and safety. In the era of precision medicine, effective safety management must extend across the full therapeutic lifecycle, including postdiscontinuation surveillance, to prevent latent and cumulative health risks.</p></sec>
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<back>
<sec sec-type="author-contributions" id="s5">
<title>Author contributions</title>
<p>LT: Writing &#x02013; original draft. XL: Writing &#x02013; review &#x00026; editing. YW: Writing &#x02013; review &#x00026; editing. YS: Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="s6">
<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="disclaimer" id="s7">
<title>Publisher&#x00027;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>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited and reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/55819/overview">Victoria Bunik</ext-link>, Lomonosov Moscow State University, Russia</p>
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