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	<title>drug-induced lung injury &#8211; Science</title>
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	<title>drug-induced lung injury &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Machine Learning Hunt Pinpoints Gene Linked to a Heart Drug&#8217;s Lung Damage</title>
		<link>https://scienmag.com/machine-learning-hunt-pinpoints-gene-linked-to-a-heart-drugs-lung-damage/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Sat, 26 Sep 2026 21:08:28 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[amiodarone]]></category>
		<category><![CDATA[amiodarone-induced lung damage]]></category>
		<category><![CDATA[bioinformatics for adverse drug reactions]]></category>
		<category><![CDATA[Biomarkers]]></category>
		<category><![CDATA[computational biology in cardiology]]></category>
		<category><![CDATA[drug-induced lung injury]]></category>
		<category><![CDATA[early detection of drug-related lung injury]]></category>
		<category><![CDATA[gene biomarkers for pulmonary fibrosis]]></category>
		<category><![CDATA[gene-environment interactions in drug toxicity]]></category>
		<category><![CDATA[genetic factors in drug-induced fibrosis]]></category>
		<category><![CDATA[laboratory validation of toxicity-related genes]]></category>
		<category><![CDATA[LCN2]]></category>
		<category><![CDATA[Machine learning]]></category>
		<category><![CDATA[machine learning in drug toxicity prediction]]></category>
		<category><![CDATA[molecular docking]]></category>
		<category><![CDATA[molecular dynamics simulation]]></category>
		<category><![CDATA[molecular pathways in pulmonary scarring]]></category>
		<category><![CDATA[network toxicology]]></category>
		<category><![CDATA[network toxicology for drug safety]]></category>
		<category><![CDATA[pulmonary fibrosis]]></category>
		<category><![CDATA[research on antiarrhythmic drug side effects]]></category>
		<category><![CDATA[SERPING1]]></category>
		<category><![CDATA[Single-Cell RNA Sequencing]]></category>
		<category><![CDATA[Spatial transcriptomics]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=216353</guid>

					<description><![CDATA[An integrated multiomics and machine learning study has identified SERPING1 as a leading candidate biomarker for amiodarone-induced pulmonary fibrosis, with laboratory experiments confirming the gene's downregulation in drug-exposed lung cells.]]></description>
										<content:encoded><![CDATA[<p>Amiodarone has saved countless lives as one of the most effective antiarrhythmic drugs available to cardiologists, yet its long-term use carries a shadow: a potentially irreversible scarring of the lungs known as amiodarone-induced pulmonary fibrosis, or AIPF. The condition can emerge months or even years into therapy, and clinicians currently lack reliable early biomarkers that would allow them to detect the damage before it becomes permanent. A new study published in BMC Pharmacology and Toxicology by Hua Sheng, Xingang Lu, and YunTao Lu set out to change that, deploying an unusually ambitious combination of computational biology and laboratory experiments to identify the genes that may drive the disease process.</p>
<p>The team&#8217;s starting point was network toxicology, a discipline that treats the interaction between a drug and the body as a web of molecular relationships rather than a single linear pathway. By mapping the known protein targets of amiodarone against genes already associated with pulmonary fibrosis, the researchers identified eighty-four overlapping genes that sit at the intersection of the drug&#8217;s pharmacology and the pathology of scarring. When these genes were subjected to enrichment analysis, two biological themes emerged with striking clarity: necroptosis, a form of programmed inflammatory cell death, and the wingless/integrated, or Wnt, signaling pathway, a developmental cascade long implicated in fibrotic remodeling of tissue. Both processes are plausible mechanistic bridges between a drug accumulating in lung tissue and the progressive deposition of scar collagen.</p>
<p>What distinguishes this study from earlier network-based analyses of AIPF is the sheer scale of the machine learning framework the authors built on top of that gene list. Rather than relying on a single algorithm, they integrated 127 different algorithms into a consensus pipeline, then cross-validated the results against independent datasets drawn from the Gene Expression Omnibus, a public repository of gene expression data. The logic is straightforward: a candidate biomarker that survives scrutiny across many analytical approaches and multiple patient cohorts is far less likely to be a statistical artifact than one identified by a single method. This kind of ensemble strategy, borrowed from the competitive machine learning world, is increasingly seen as the gold standard for extracting trustworthy signals from the noisy, small-sample datasets that dominate clinical genomics.</p>
<p>The consensus winner was SERPING1, a gene encoding the C1 inhibitor protein best known for its role in regulating the complement and contact cascades of the immune system. The pipeline elevated SERPING1 to the status of primary core biomarker, while a second gene, lipocalin 2 (LCN2), emerged as a secondary candidate. LCN2, which encodes a protein involved in iron trafficking and inflammatory responses, showed a more complicated behavior across datasets, exhibiting prominent inter-cohort spatial heterogeneity — in plain terms, its expression patterns varied noticeably from one patient cohort to another, a warning sign the authors were careful not to gloss over.</p>
<p>To test whether these computational candidates could physically interact with the drug, the researchers turned to molecular docking and molecular dynamics simulation. Docking algorithms predict how a small molecule like amiodarone might fit into the structural pockets of a protein, while dynamics simulations then let that predicted complex flex and move over time, revealing whether the binding is stable or falls apart under thermal motion. Both SERPING1 and LCN2 proteins were found to bind stably to amiodarone in these simulations, a result that lends biophysical plausibility to the idea that the drug could directly perturb the function of these proteins in lung tissue, not merely alter their expression indirectly through cellular stress.</p>
<p>The next layer of evidence came from single-cell RNA sequencing and spatial transcriptomics, two of the most powerful tools in modern genomics. Single-cell sequencing breaks a tissue down into its constituent cell types and measures gene activity in each one, while spatial transcriptomics preserves information about where in the tissue architecture those genes are active. The analyses showed that both SERPING1 and LCN2 were expressed predominantly in cell populations associated with lung injury, placing the candidate biomarkers in exactly the cellular neighborhoods where fibrotic damage unfolds. This kind of multiomics localization matters because a biomarker measured in bulk tissue can be misleading if the signal actually originates from a minor cell population, such as infiltrating immune cells, rather than from the epithelial cells that orchestrate fibrosis.</p>
<p>The spatial data also delivered one of the study&#8217;s most nuanced findings. SERPING1 expression showed a weak positive correlation with the extent of fibrosis across tissue samples, a modest but consistent relationship. LCN2, by contrast, displayed variable, cohort-dependent correlation patterns — its relationship to fibrosis shifted depending on which dataset was examined. The authors interpret this honestly: LCN2 remains an interesting candidate, but its inconsistency across cohorts means it cannot yet be considered a dependable marker, and it awaits further experimental validation before it can be pursued clinically.</p>
<p>Crucially, the study did not stop at computation. The team constructed an in vitro model of AIPF by exposing A549 cells, a widely used human lung epithelial cell line, to amiodarone in the laboratory. When they measured gene expression in these drug-exposed cells, they confirmed a dose-dependent downregulation of SERPING1 — the higher the amiodarone concentration, the lower the gene&#8217;s activity. This laboratory confirmation is the study&#8217;s strongest single piece of evidence, because it demonstrates that a biologically relevant concentration of the drug can directly suppress SERPING1 expression in the very epithelial cells that line the lung alveoli and are central to the fibrotic response.</p>
<p>The authors are careful to frame their contribution with appropriate modesty. They note that the findings do not establish entirely new drivers of the disease; rather, they extend previous network-based studies of AIPF by adding multiomics localization evidence and in vitro support, particularly for the downregulation of SERPING1 in amiodarone-exposed epithelial cells. That distinction is important in a field where computational screens sometimes generate long lists of speculative targets that never survive contact with experimental reality. By anchoring their top candidate in molecular simulation, tissue-level spatial data, and a living-cell model, the researchers have given SERPING1 a far more solid evidentiary foundation than most computationally nominated biomarkers enjoy.</p>
<p>Even so, the road from candidate gene to clinical biomarker is long. The authors explicitly acknowledge that validation in animal models and in clinical samples from actual AIPF patients is still needed before SERPING1 could inform the care of patients taking amiodarone. If that validation succeeds, the implications could be substantial: a simple measure of SERPING1 expression or C1 inhibitor levels might one day allow physicians to monitor patients on long-term amiodarone therapy and intervene before irreversible scarring takes hold. In the meantime, the study stands as a compelling demonstration of how network toxicology, ensemble machine learning, molecular simulation, single-cell and spatial transcriptomics, and classical cell biology can be woven into a single pipeline — a template that other researchers hunting for drug-toxicity biomarkers are likely to follow.</p>
<p><strong>Subject of Research:</strong> Identification of key genes involved in amiodarone-induced pulmonary fibrosis using integrated multiomics and in vitro validation</p>
<p><strong>Article Title:</strong> Integrated multiomics methodology and in vitro experiments for the detection of key genes involved in amiodarone-induced pulmonary fibrosis</p>
<p><strong>Article References:</strong> Sheng, H., Lu, X., &amp; Lu, Y. (2026). Integrated multiomics methodology and in vitro experiments for the detection of key genes involved in amiodarone-induced pulmonary fibrosis. <em>BMC Pharmacology and Toxicology</em>. <a href="https://doi.org/10.1186/s40360-026-01238-5" rel="noopener noreferrer">https://doi.org/10.1186/s40360-026-01238-5</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s40360-026-01238-5" rel="noopener noreferrer">10.1186/s40360-026-01238-5</a></p>
<p><strong>Keywords:</strong> amiodarone, pulmonary fibrosis, SERPING1, LCN2, network toxicology, machine learning, molecular docking, molecular dynamics simulation, single-cell RNA sequencing, spatial transcriptomics, biomarkers, drug-induced lung injury</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">216353</post-id>	</item>
		<item>
		<title>Common Bowel Drug Triggers Rare Pneumonia in Just Seven Days, Doctors Warn</title>
		<link>https://scienmag.com/common-bowel-drug-triggers-rare-pneumonia-in-just-seven-days-doctors-warn/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Mon, 21 Sep 2026 00:20:54 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[5-aminosalicylic acid]]></category>
		<category><![CDATA[adverse drug reaction]]></category>
		<category><![CDATA[adverse respiratory reactions to 5-aminosalicylic acid]]></category>
		<category><![CDATA[bronchoalveolar lavage]]></category>
		<category><![CDATA[case report]]></category>
		<category><![CDATA[corticosteroid-free recovery from drug-induced pneumonia]]></category>
		<category><![CDATA[drug-induced lung injury]]></category>
		<category><![CDATA[drug-triggered pulmonary eosinophilia]]></category>
		<category><![CDATA[early diagnosis of drug-induced lung injury]]></category>
		<category><![CDATA[eosinophilic pneumonia]]></category>
		<category><![CDATA[eosinophilic pneumonia case report]]></category>
		<category><![CDATA[eosinophils]]></category>
		<category><![CDATA[hypersensitivity pneumonitis]]></category>
		<category><![CDATA[hypersensitivity reactions to ulcerative colitis]]></category>
		<category><![CDATA[implications for bowel disease management and lung health]]></category>
		<category><![CDATA[inflammatory bowel disease]]></category>
		<category><![CDATA[mesalazine]]></category>
		<category><![CDATA[mesalazine-induced eosinophilic pneumonia]]></category>
		<category><![CDATA[rapid onset drug reactions in bowel medications]]></category>
		<category><![CDATA[rare lung complications from inflammatory bowel disease treatments]]></category>
		<category><![CDATA[respirology]]></category>
		<category><![CDATA[ulcerative colitis]]></category>
		<category><![CDATA[ulcerative colitis drug side effects]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=204532</guid>

					<description><![CDATA[A new case report documents one of the fastest recorded onsets of mesalazine-induced eosinophilic pneumonia, with lung symptoms appearing just seven days after a patient began the common inflammatory bowel disease drug.]]></description>
										<content:encoded><![CDATA[<p>A routine prescription for a widely used bowel medication set off a startling chain of events in a 29-year-old Japanese woman, and the details of her case are now prompting clinicians worldwide to rethink how quickly drug reactions can strike the lungs. Just seven days after starting mesalazine, a first-line therapy for ulcerative colitis, she developed a persistent productive cough. Within weeks, imaging revealed a dense patch of consolidation in her right upper lung, and laboratory tests showed her blood teeming with eosinophils, the white blood cells best known for fighting parasites and driving allergic disease. The diagnosis, confirmed with tissue samples, was eosinophilic pneumonia induced by the very drug meant to calm inflammation in her gut. Remarkably, her lungs recovered completely without a single dose of corticosteroids once the medication was stopped. The case, published in Respirology Case Reports, is being highlighted as one of the earliest documented onsets of this rare but increasingly recognized adverse reaction.</p>
<p>Mesalazine, also known as 5-aminosalicylic acid or 5-ASA, has been a cornerstone of inflammatory bowel disease management for decades. It is prescribed to both quell active flares of ulcerative colitis and Crohn&#8217;s disease and to keep those diseases in remission over the long term. Because it is generally well tolerated, patients often take it for years with little thought. Yet the new report underscores that even this familiar molecule can provoke serious lung injury. Drug-induced eosinophilic pneumonia occurs when an offending medication triggers an influx of eosinophils into the alveolar air spaces and the interstitial tissue of the lungs, impairing oxygen exchange and producing cough, breathlessness, and infiltrates visible on chest imaging. Diagnosis typically rests on a compatible drug history, elevated eosinophils in peripheral blood or bronchoalveolar lavage fluid, characteristic imaging, and exclusion of infection and other causes.</p>
<p>What makes this case exceptional is timing. In the vast majority of reported instances, mesalazine-related lung injury emerges two to six months after treatment begins, a lag that can easily lull clinicians into overlooking the drug as a culprit. The literature contains only a handful of cases in which symptoms appeared within ten days of the first dose, and the present patient, whose cough began on day seven, now ranks among the earliest ever recorded. By the time she was referred to hospital on day 39, chest radiography showed worsening consolidation in the right upper lung field along with a pleural effusion. Computed tomography demonstrated diffuse consolidation concentrated in the right upper lobe. Her vital signs remained stable, with an oxygen saturation of 96 percent on room air, but her white cell differential told a striking story: eosinophils made up 37.8 percent of a total count of 9,700 cells per microliter, and her C-reactive protein was mildly elevated at 2.67 mg/dL.</p>
<p>To pin down the diagnosis, clinicians turned to bronchoscopy. Bronchoalveolar lavage returned fluid with a total cell count of 5.88 × 10⁶ per milliliter, of which an extraordinary 78.6 percent were eosinophils, a signature finding in eosinophilic lung disease. Transbronchial biopsy and transbronchial lung cryobiopsy, a technique that freezes a larger sample of lung tissue for histological analysis, revealed dense eosinophilic infiltration in both the alveolar spaces and the interstitium. Bacterial and mycobacterial cultures and cytology were all negative, ruling out infection and malignancy. With the drug withdrawn, the clinical course became its own confirmation: chest radiography began improving just two days after mesalazine was stopped, the patient&#8217;s cough resolved within a month, and pulmonary infiltrates and peripheral eosinophilia had normalized six weeks later, all without corticosteroid therapy. She was subsequently transitioned to vedolizumab, a gut-selective biologic, for her ulcerative colitis, and the pneumonia did not recur.</p>
<p>Behind this single patient stands a much larger body of evidence assembled by the reporting team. Searching MEDLINE and screening references from prior reviews, the authors identified 57 additional cases of mesalazine-induced lung injury, bringing the total analyzed to 58. The demographic picture is instructive: patients ranged from 14 to 84 years of age, with a median of 35 and a peak in the third decade of life, and women outnumbered men 34 to 24. Ulcerative colitis accounted for 84 percent of underlying diagnoses, with Crohn&#8217;s disease making up most of the remainder. Eosinophilic pneumonia was the most common pattern of injury, representing 43 percent of cases, followed by interstitial pneumonia at 27 percent and organizing pneumonia at 10 percent. Most patients, 67 percent, showed bilateral infiltrates, though unilateral disease, as in this case, does occur and can mislead clinicians toward an infectious diagnosis.</p>
<p>The timing data from that literature review are perhaps the most clinically valuable takeaway. While lung injury typically develops two to six weeks after initiation, roughly 10 percent of cases occur within the first two weeks, and only two cases on record, including this one, manifested within ten days. In a focused analysis of 18 well-documented eosinophilic pneumonia cases, symptom onset ranged from seven days to fourteen months, with 70 percent occurring within two months. The median cumulative dose at onset was 81 grams of mesalazine; the present patient had consumed only about 14 grams when her symptoms began. That discrepancy carries real mechanistic weight, because a reaction that ignores both the duration of exposure and the total dose ingested is the hallmark of hypersensitivity rather than toxicity.</p>
<p>That mechanistic distinction matters for how clinicians think about drug safety. Drug-induced lung injury generally arises through two principal pathways: direct cytotoxic damage to alveolar epithelial or endothelial cells, which tends to be dose-related, and immune-mediated inflammation, which can erupt unpredictably at any exposure level. The evidence points firmly toward the immune pathway for mesalazine. Researchers propose that the drug may skew immune signaling toward a Th2-dominant response, in which cytokines such as interleukin-5 drive the production, recruitment, and activation of eosinophils, ultimately seeding them in lung tissue. Pharmacokinetic data reinforce the plausibility of a hypersensitivity mechanism: approximately 20 to 30 percent of orally administered mesalazine and about 10 percent of rectal formulations are absorbed systemically, and eosinophilic pneumonia has been reported even after rectal administration, indicating that small systemic exposures can suffice to ignite the reaction.</p>
<p>The case also settles a long-standing question about the older drug sulfasalazine, a prodrug that is metabolized in the gut into mesalazine and sulfapyridine. When eosinophilic pneumonia occurred in patients taking sulfasalazine, toxicity was often attributed to the sulfapyridine moiety. But the accumulating reports of identical lung injury with mesalazine alone suggest that the 5-aminosalicylic acid molecule itself is capable of triggering the immune response. For the millions of patients with inflammatory bowel disease who take 5-ASA compounds worldwide, this reframing means that no formulation of the drug class can be considered free of pulmonary hypersensitivity risk, however rare that risk may be in absolute terms.</p>
<p>One intriguing wrinkle in the present case is the patient&#8217;s respiratory history. She had suspected bronchial asthma and used inhaled corticosteroids as needed, and her fractional exhaled nitric oxide, a noninvasive marker of eosinophilic airway inflammation, was elevated at 51 parts per billion. The authors caution that this reading may have reflected pre-existing asthmatic airway inflammation rather than pneumonia alone, and they note that only one previously reported mesalazine lung-injury patient had a history of bronchial asthma. Whether underlying allergic airway disease can accelerate the onset of drug-induced eosinophilic pneumonia remains uncertain, but the possibility offers a concrete hypothesis for future research and a reason for heightened vigilance in asthmatic patients starting the drug.</p>
<p>The practical message for clinicians and patients alike is one of awareness rather than alarm. Corticosteroids, the usual mainstay of eosinophilic pneumonia treatment, are not always necessary; simple drug withdrawal can be sufficient when respiratory status is stable, as this case demonstrates. Yet some patients have received prednisolone out of concern that stopping mesalazine might precipitate a relapse of their inflammatory bowel disease, illustrating the delicate balancing act physicians face. The authors&#8217; conclusion is straightforward: eosinophilic pneumonia can develop early in the treatment course, and drug-induced lung injury should be considered whenever respiratory symptoms or pulmonary infiltrates appear during mesalazine therapy. For a drug taken daily by so many, recognizing that the lungs can protest within a single week of the first tablet may make the difference between a swift, uncomplicated recovery and a prolonged diagnostic odyssey.</p>
<p><strong>Subject of Research:</strong> Rapid-onset mesalazine-induced eosinophilic pneumonia occurring seven days after drug initiation</p>
<p><strong>Article Title:</strong> Rapid Onset of Mesalazine‐Induced Eosinophilic Pneumonia Manifesting 7 Days After Initiation: A Case Report</p>
<p><strong>Article References:</strong> Inazaki, T., Takeda, K., Iwasaki, M., Tajima, H., Shionoya, Y., Hirama, R., Sato, S., Naito, A., Kawasaki, T., Ikari, J., Kageyama, S., Ikeda, J.-I., &amp; Suzuki, T. (2026). Rapid Onset of Mesalazine‐Induced Eosinophilic Pneumonia Manifesting 7 Days After Initiation: A Case Report. <em>Respirology Case Reports, 14</em>(9), Article e70758. <a href="https://doi.org/10.1002/rcr2.70758" rel="noopener noreferrer">https://doi.org/10.1002/rcr2.70758</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1002/rcr2.70758" rel="noopener noreferrer">10.1002/rcr2.70758</a></p>
<p><strong>Keywords:</strong> mesalazine, eosinophilic pneumonia, ulcerative colitis, drug-induced lung injury, inflammatory bowel disease, bronchoalveolar lavage, hypersensitivity pneumonitis, 5-aminosalicylic acid, adverse drug reaction, respirology, eosinophils, case report</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">204532</post-id>	</item>
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