Search Results (893)

Background: Venous thromboembolism (VTE) is a thromboinflammatory disorder involving coordinated activation of coagulation, endothelial dysfunction, and inflammatory signaling. Low-molecular-weight heparins (LMWHs) may exert pharmacological effects beyond anticoagulation. This study compared enoxaparin, bemiparin, and tinzaparin and explored potential multi-target mechanisms using molecular docking, network pharmacology, and enrichment analyses. Methods: In this retrospective cohort study, patients with acute VTE treated with therapeutic-dose LMWHs were analyzed. Stabilized IPTW based on multinomial propensity scores was used to reduce baseline imbalance between treatment groups. Clinical recovery was assessed using the Clinical Severity Score (CSS). Thromboinflammatory biomarkers (MPV, hs-CRP, NLR, fibrinogen) were evaluated during follow-up. Molecular docking, STRING/Cytoscape-based protein–protein interaction, and enrichment analyses were performed. Results: Median time to symptom resolution was 31 days with enoxaparin, 28 days with bemiparin, and 24 days with tinzaparin (log-rank p < 0.001). Recovery was faster with bemiparin (HR 1.28, 95% CI 1.05–1.56) and tinzaparin (HR 1.72, 95% CI 1.41–2.10). Tinzaparin showed greater reductions in hs-CRP, MPV, NLR, and fibrinogen (all p < 0.05) and less analgesic use beyond 10 days (19.7% vs. 27.0% and 33.2%; p < 0.001). Docking analyses identified plausible conformations (root-mean-square deviation, RMSD ≤ 2 Å). Given the structural flexibility and heterogeneous chain length of LMWHs, rigid docking algorithms may not fully capture biologically relevant conformations. Therefore, docking results should be interpreted as qualitative interaction mapping rather than quantitative binding affinity estimation. Network analysis highlighted F3, TNF, IL6, and VWF, while enrichment analyses suggested involvement of cytokine signaling, leukocyte migration, and thromboinflammatory pathways. Conclusions: LMWH therapy was associated with improved thromboinflammatory markers and clinical recovery, with tinzaparin showing comparatively more favorable thromboinflammatory biomarker trajectories and recovery dynamics within the limitations of this observational analysis. Integrated clinical and in silico findings provide hypothesis-generating insights into potential multi-target pharmacological effects beyond anticoagulation; however, these observations should be interpreted cautiously and require experimental validation. Full article

Background/Objectives: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, providing substantial survival benefits across a wide range of malignancies. However, ICI-associated renal toxicity encompasses a broad spectrum of clinical entities, ranging from nonspecific acute kidney injury to well-defined immune-mediated nephropathies with distinct pathophysiological mechanisms. Methods: We performed a large-scale pharmacovigilance study using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database to evaluate immune-mediated nephropathy associated with ICIs from January 2014 to March 2025. To improve specificity and minimize misclassification, the analysis was restricted to well-defined immune-mediated renal adverse events identified using MedDRA Preferred Terms, excluding nonspecific acute kidney injury. Disproportionality analysis was conducted using reporting odds ratios (RORs) with 95% confidence intervals (CIs) to assess associations between individual ICIs, treatment regimens, and nephropathy reporting. Results: Among 203,652 ICI-related adverse event reports (irAEs), 2361 (1.12%) involved immune-mediated nephropathy. Compared with other irAEs (non-nephropathy), immune-mediated nephropathy was more frequently reported in patients aged ≥ 65 years and in those with lung and genitourinary malignancies. Tubulointerstitial nephritis was the predominant subtype. Higher reporting signals were observed with cemiplimab and pembrolizumab, whereas durvalumab and atezolizumab demonstrated lower reporting signals. Combination regimens involving PD-1 and CTLA-4 inhibitors were associated with higher reporting frequencies compared with monotherapy. Conclusions: This real-world pharmacovigilance analysis identifies clinically relevant differences in immune-mediated nephropathy reporting across ICI classes and treatment strategies. PD-1 inhibitors and PD-1/CTLA-4 combination regimens were associated with higher reporting signals, suggesting potential variation in renal safety profiles. These findings should be interpreted cautiously, given the inherent limitations of spontaneous reporting systems, but they provide hypothesis-generating evidence to support future prospective studies with detailed clinical and histopathological correlation. Full article

Background/Objectives: Drug-induced hypersensitivity and cardiotoxicity are important yet often underrecognized clinical concerns, and fluoroquinolones are widely used antibiotics with well-documented safety issues. Given the limited systematic evidence and underreporting in pharmacovigilance databases, this study explored a potential association between fluoroquinolones and Kounis syndrome (KS) and the possibility of a class-related effect. Methods: This retrospective descriptive study analyzed individual case safety reports from VigiBase, complemented by published case reports to capture additional cases not recorded in the database. All fluoroquinolones reported as suspected drugs in KS cases were included, and a systematic search of major literature databases was undertaken to identify further case-level evidence. Quantitative data were explored using VigiLyze, while qualitative clinical data were extracted for case characterization. Literature cases underwent Naranjo assessment, and the overall body of evidence was evaluated using a qualitative Bradford Hill framework. Results: A descriptive disproportionality signal for fluoroquinolones was identified in VigiBase (IC₀₂₅ = 1.3). Seventeen cases of fluoroquinolone-associated KS were identified across VigiBase and the published literature, all originating from unsolicited sources. Most cases involved ciprofloxacin and levofloxacin, whereas other fluoroquinolones were only rarely reported. Across cases, a consistent clinical pattern was observed, including a clear temporal relationship between drug exposure, allergic manifestations, and acute coronary events, compatible with hypersensitivity-mediated coronary involvement. Conclusions: KS cases associated with several fluoroquinolones were identified in pharmacovigilance data and the published literature, with the most consistent evidence observed for ciprofloxacin and levofloxacin. Although a class effect was not confirmed, a potential association cannot be excluded. These findings should be interpreted as hypothesis-generating, and further research is required to clarify underlying mechanisms, drug-specific risks, and clinical relevance. Full article

Background/Objectives: Recent studies have shown that GABA reduces visceral hypersensitivity and improves intestinal permeability in a post-inflammatory irritable bowel syndrome (IBS) rat model. We aimed to assess the efficacy of a GABA-based supplement in IBS patients with diarrhea (IBS-D), focusing on symptoms relief, quality-of-life improvement, mucosal barrier function, systemic microinflammation and gut microbiota. Methods: In this double-blind, placebo-controlled, crossover study, 20 IBS-D patients were randomized to receive GABA or placebo for two four-week treatment periods separated by a two-week washout. Efficacy was assessed using IBS Symptom Severity Score (IBS-SSS) and Short-Form Health Survey-36 (SF-36). Circulating levels of lipopolysaccharide-binding protein (LBP), Tumor Necrosis Factor-α (TNF-α) and interleukin (IL)-1β were measured before and after each treatment. Results: Eighteen patients completed the study. A clinical response (≥50-point reduction in IBS-SSS) was observed in 66.7% of patients during GABA treatment versus 33.3% with placebo. GABA produced a significant reduction in the IBS-SSS total score (p = 0.02) and in the bowel satisfaction item of the questionnaire (p = 0.02). Regarding quality of life, GABA significantly improved the “Emotional limitation” domain compared with placebo (p = 0.009). GABA treatment also led to a decrease in circulating LBP (p = 0.06) and IL-1β (p = 0.02) levels compared to placebo, although only the reduction in IL-1β reached statistical significance. In contrast, no substantial remodeling of the gut microbiota was observed. Conclusions: In this pilot study, GABA treatment led to a significant improvement in IBS-D symptoms compared with placebo and was also more effective in enhancing emotional wellbeing. GABA appeared to have a possible effect on intestinal permeability indirectly assessed through LBP, consistent with preclinical findings, and significantly reduced systemic inflammation. GABA may represent a promising therapeutic option for IBS, deserving further investigation in larger clinical trials. Full article

Background/Objectives: Bradyarrhythmias are an under-recognized component of cancer therapy-related cardiovascular toxicity. As survivorship improves and exposure to targeted and immune therapies increases, clinicians increasingly face clinically relevant sinus node dysfunction and atrioventricular (AV) conduction disease that may interrupt otherwise effective oncologic treatment. We aimed to synthesize evidence on the incidence, phenotype, mechanisms, and management of bradyarrhythmias across major anticancer drug classes. Methods: We performed a narrative review of PubMed and major clinical guidelines, prioritizing prospective trials and large observational cohorts for incidence estimates, and case reports/series for phenotype and management details. Regulatory prescribing information and pharmacovigilance datasets were consulted to complement trial data. Evidence was organized by drug class and prototypical agents. Results: Bradyarrhythmias ranged from transient sinus bradycardia to high-grade atrioventricular block requiring pacing. The most severe phenotype was associated with immune checkpoint inhibitor-related myocarditis, whereas ALK inhibitors, thalidomide, antimetabolites—particularly 5-fluorouracil—and taxanes showed more reproducible signals for sinus bradycardia. Bradyarrhythmic events were also described with proteasome inhibitors, BTK (Bruton tyrosine kinase) inhibitors, anthracyclines, platinum compounds, high-dose cyclophosphamide, corticosteroids, and other agents, but the strength of evidence varied from regulatory or cohort-based data to isolated case reports. Conclusions: Bradyarrhythmias during cancer therapy are heterogeneous but clinically consequential. Recognition of class-specific patterns, proactive ECG/electrolyte monitoring, and context-specific management (e.g., drug interruption/dose modification, pacing when indicated, risk-factor control) can minimize therapy interruption while maintaining oncologic efficacy. Full article

Background/Objectives: Biosimilars are medicinal products derived from reference biologics and designed to demonstrate a high degree of similarity in quality, efficacy, safety, and immunogenicity. Machine learning (ML) and other artificial intelligence (AI) methodologies have emerged as important tools in this field in biosimilar research and development. This systematic review identifies ML applications throughout the biosimilar lifecycle while distinguishing them from the broader AI literature and from health technology evaluation, economic, and decision-analytic studies. Methods: Following PRISMA, records were retrieved from Scopus, PubMed, and Web of Science. After applying predefined inclusion and exclusion criteria, 44 original peer-reviewed studies were selected. Only studies that implemented a data-driven ML method for a biosimilar-relevant problem were included. Results: The review mapped AI applications at different stages of biosimilar development and characterized emerging trends and the types of methods used at each stage. Evidence indicates that the most mature empirical ML applications are concentrated in manufacturing optimization and analytical comparability, where supervised learning, ensemble models, and neural networks support process control, glycan or spectral analysis, and similarity assessment. By contrast, biosimilar-specific ML applications in clinical prediction and pharmacovigilance remain comparatively limited. Conclusions: These advances support the mission of biosimilars to provide affordable and high-quality biologic therapies. Using ML, developers can reduce timelines, reduce costs, and strengthen safety and efficacy assessments through the analysis of complex datasets that are difficult to address with traditional approaches. The main contribution of this review is to provide a clearer map of methodological maturity, translational relevance, and future opportunities for data-driven biosimilar development. Full article

Influenza sentinel surveillance in Libya was formally established in 2022 by the Libyan National Center for Disease Control (NCDC). Between 2022 and 2024, a total of 1864 nasopharyngeal specimens were collected from patients presenting with influenza-like illness and tested using the GeneXpert for influenza A virus, influenza B virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and respiratory syncytial virus (RSV). Influenza A virus was detected in 21.1% (393/1864) of samples and influenza B virus was detected in 5.4% of samples (100/1864). SARS-CoV-2 and RSV were identified in 11.6% (216/1864) and 4.1% (77/1864) of specimens, respectively. A subset of 22 influenza A-positive samples was selected based on sample availability and sufficient remaining volume after the initial test for confirmatory testing and further molecular characterization. Real-time RT-PCR subtyping identified 11 A(H1N1)pdm09 and four A(H3N2) viruses. Whole-genome sequencing was successfully performed for 11 isolates, followed by phylogenetic analysis. Genetic characterization revealed that all A(H1N1)pdm09 viruses belonged to clade 6B.1A.5a.2a (5a.2a), while A(H3N2) viruses clustered within clade 3C.2a1b.2a.2a.3a.1 (2a.3a.1) were based on hemagglutinin gene mutations. No neuraminidase mutations associated with antiviral resistance were detected. This study represents the first molecular and phylogenetic characterization of circulating human influenza viruses in Libya, with sequence data submitted to the Global Initiative on Sharing All Influenza Data (GISAID) to establish baseline genetic data for influenza viruses in Libya. Full article

Background/Objectives: This study aimed to evaluate the frequency and predictors of adverse drug events (ADEs) related to medication abuse, misuse, and dependence, along with serious adverse events (SAEs), and to develop machine learning models to detect serious abuse, misuse, and dependence cases. Methods: This study included 455,415 ADE reports involving medications with high dependence potential reported to the Korea Adverse Event Reporting System (KIDS KAERS DB) between 2013 and 2022. Multivariate logistic regression was used to identify predictors. Three machine learning algorithms, random forest (RF), support vector machine, and eXtreme Gradient Boosting, were developed and evaluated. Results: Higher reporting likelihood of abuse-, misuse-, and dependence-related ADEs was observed with concomitant use of acetaminophen (OR 3.60, 95% CI 2.40–5.39), antidepressants (OR 1.75, 95% CI 1.17–2.61), antipsychotics (OR 4.97, 95% CI 3.21–7.17), and anticonvulsants (OR 3.42, 95% CI 2.42–4.81). Reports from the general public were associated with higher odds of abuse, misuse, and dependence than those from healthcare professionals (OR 4.59, 95% CI 3.04–6.94). Ketamine (ROR 14.03) and bromazepam (ROR 13.02) showed the highest likelihood of being classified as SAEs. Cardiovascular (ROR 30.36) and respiratory disorders (ROR 17.03) demonstrated the highest SAE reporting likelihood. RF model demonstrated the best predictive performance (AUC-ROC 0.928; accuracy 94.4%), with reporter type identified as a key feature. Conclusions: RF model demonstrated optimal predictive performance, with reporter type as the most important feature for detecting serious cases. This study emphasizes the importance of incorporating patient-reported data and polypharmacy surveillance to facilitate early detection of serious cases. Full article

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have revolutionized the management of type 2 diabetes mellitus (T2DM) by providing robust glycemic control alongside significant cardioprotective and renoprotective benefits. This review synthesizes current mechanistic, preclinical, and clinical evidence regarding the impact of GLP-1RAs on retinal microvasculature and summarizes the current clinical evidence of GLP-1RA-induced retinal complications. GLP-1RAs exert pleiotropic effects on the retinal microvasculature, offering protection by amelioration of endothelial function, reduction in oxidative stress, inflammation, microvascular remodeling, and preservation of the blood–retinal barrier (BRB). Despite these mechanistic advantages, emerging clinical data have raised concerns regarding potential retinal adverse events associated with GLP-1RA therapy. Observational studies and pharmacovigilance analyses have suggested possible associations with non-arteritic anterior ischemic optic neuropathy (NAION), diabetic macular edema (DME), vitreous hemorrhage, retinal detachment, macular hole formation, and progression of diabetic retinopathy (DR), particularly in the context of semaglutide use. Most evidence comes from retrospective studies or secondary endpoints, limiting causal inference. Retinal complications associated with GLP-1RAs remain heterogeneous and inconclusive, requiring careful evaluation of potential risks across diverse patient populations. Future research should conduct large, randomized trials with standardized ocular endpoints, detailed imaging, and stratified analyses to clarify GLP-1RA retinal safety. Full article

Background: Anti-MRSA agents are essential for treating severe infections, yet their use is constrained by distinct toxicity profiles. However, comparative real-world data remain scarce. Methods: This nationwide pharmacovigilance study used the Japanese Adverse Drug Event Report (JADER) database (2004–2025). Disproportionality analyses (proportional reporting ratio [PRR]) were performed at the Standardized MedDRA Query and Preferred Term levels, complemented by Weibull-based time-to-onset modeling, to characterize AE patterns associated with vancomycin (VCM), teicoplanin (TEIC), arbekacin (ABK), daptomycin (DAP), linezolid (LZD), and tedizolid (TZD). Results: Distinct agent-specific AE profiles were observed. VCM showed disproportionate reporting of acute renal failure (PRR 6.66) and severe cutaneous reactions. TEIC displayed fewer renal signals but relatively higher reporting of hematologic events (PRR 3.51). ABK demonstrated high disproportionality in acute and chronic renal failure, reflecting aminoglycoside nephrotoxicity. DAP showed a high reporting signal for eosinophilic pneumonia (PRR 23.30), interstitial lung disease, and creatine kinase elevation/rhabdomyolysis, with wear-out hazard patterns suggesting a possible time-dependent reporting tendency. LZD exhibited hematopoietic signals (PRR 6.13) and additional associations with hyponatremia, lactic acidosis, and optic neuropathy, consistent with marrow suppression and mitochondrial toxicity. Weibull analysis indicated cumulative “wear-out” risks for renal, hepatic, and hematologic events, whereas hypersensitivity and many pulmonary events followed random-failure patterns. Conclusions: This large-scale JADER analysis delineated the distinct safety profiles of the six anti-MRSA agents. The key findings included DAP pulmonary and muscle toxicities, LZD hematological events, and VCM nephrotoxicity. Time-to-onset modeling indicates potential cumulative versus random risk patterns, suggesting the need for individualized monitoring and cross-validation. Full article

Social media platforms host abundant and timely descriptions of medication experiences that can complement traditional pharmacovigilance systems. Yet the linguistic informality of these data presents a major challenge for mapping adverse drug event (ADE) expressions to standardized medical terminology. In this study, we developed BERT-based language models to classify ADE mentions from social media into MedDRA System Organ Classes (SOCs). Using the SMM4H and CADEC corpora, as well as their combination, we performed 20 iterations of 20% holdout validation for 3-, 6-, 22-, and 25-SOC classification tasks with a selected fixed training configuration (learning rate, batch size, and training epochs) based on training-loss convergence. The models achieved accuracies ranging from 75% to 94%, demonstrating strong performance for SOC-level classification of noisy and informal ADE expressions under the evaluated settings. These results are based on a controlled mention-level evaluation using deduplicated adverse drug event strings and do not establish document-level or real-world deployment generalization. This work provides a systematic evaluation of BERT-based models for SOC-level classification of ADEs and demonstrates consistent performance within the evaluated datasets and label granularities. While direct comparison with prior studies is limited by differences in datasets and evaluation protocols, the results demonstrate that transformer-based models can effectively classify ADEs into SOCs. These findings support the use of transformer-based normalization for SOC-level aggregation of user-reported adverse events and their integration into large-scale social media pharmacovigilance pipelines as a downstream component under controlled conditions. Full article

Background: Osteoarthritis (OA) is a heterogeneous joint disorder traditionally considered mechanically driven; however, evidence indicates that inflammatory mechanisms contribute to symptom expression. Exploratory analyses of peripheral biomarkers may provide insights into systemic inflammation in symptomatic knee OA, but formal phenotypic validation requires dedicated clustering or longitudinal studies. Objective: To examine associations between clinical pain, functional impairment, and circulating inflammatory biomarkers in patients with knee OA compared with healthy controls. Methods: In this prospective, single-center study, patients aged 40–80 years with radiographically confirmed knee OA and chronic knee pain were compared with age- and sex-matched healthy controls. Pain intensity and functional status were assessed using the Visual Analogue Scale (VAS) and the Knee Injury and Osteoarthritis Outcome Score (KOOS). Circulating inflammatory biomarkers, including cytokines and matrix metalloproteinases, were quantified using multiplex immunoassays. Statistical analyses included adjusted linear regression models, with age and BMI as covariates, and multiple testing correction using the Benjamini–Hochberg procedure (FDR alpha error 5%). Results: OA patients exhibited higher circulating levels of TNF-α, IL-6, IL-8, MMP-1, MMP-3, TNFSF13, TNFSF13B, and pentraxin-3 compared with controls (p < 0.01). No significant sex differences were observed. KOOSs correlated with IL-6 and IL-10 levels, suggesting an association between systemic inflammatory activity and functional limitation. All findings are presented as exploratory and associative. Conclusions: Patients with knee OA display systemic inflammatory biomarker differences associated with pain and functional impairment. These results support the role of inflammation in OA symptoms within an exploratory framework. Larger, longitudinal studies are warranted to validate these observations. Full article

Adverse Drug Reactions (ADRs) represent a major public health concern due to their impact on patient safety. In Spain, the Spanish Agency of Medicines and Medical Devices, through the FEDRA database, coordinates the reporting of suspected ADRs under real-world conditions of use, contributing to the continuous updating of safety information. In this context, community pharmacist, through Professional Pharmaceutical Care Services, plays a key role in the early detection of ADRs and Drug-Related Problems (DRPs). This article describes the case of a 70-year-old polymedicated woman included in a Personalized Dosage System (PDS). Following the substitution of diazepam with clonazepam and an increase in the dose of semaglutide, the patient developed urinary incontinence, nausea and abdominal pain. Coordinated intervention between the community pharmacy and primary care enabled adjustment of the clonazepam dose, optimization of semaglutide administration and discontinuation of unnecessary naproxen use. These measures resulted in improved treatment tolerance and safety, as well as optimization of pharmacotherapy. Full article

Highly mutated Omicron sub-lineages JN.1 and NB.1.8.1 harbor extensive spike changes, but their impact in preterm infants is poorly documented. We report a preterm male infant with three hospitalizations in seven weeks: severe SARS-CoV-2 ARDS at 40 days of life (DOL 40) requiring ventilation caused by JN.1.16, HCoV-OC43 infection at DOL 65, and a mild SARS-CoV-2 reinfection at DOL 87 due to NB.1.8.1, the first detection of this variant in Tunisia. Spike analysis showed a shared JN.1 backbone but distinct N-terminal and receptor-binding domain changes, supporting intra-Omicron reinfection driven by antigenic divergence and immature immunity and underscoring the value of pediatric genomic surveillance, including phylogenetic placement of case genomes within local Omicron diversity. Full article

Background/Objectives: The accumulation of unused and expired pharmaceuticals in households is a growing public health concern with implications for patient safety, rational drug use, and environmental health. However, systematic risk characterization integrating clinical and environmental perspectives at the community level remains limited, particularly in low- and middle-income settings. This study aimed to develop and apply a composite risk index, grounded in an eco-pharmacovigilance framework, for the assessment of health risks associated with accumulated household pharmaceuticals in southeastern Mexico. Methods: A cross-sectional study was conducted in 526 randomly selected households using stratified sampling. Guided in-home medication inventories were performed with participant collaboration, and pharmaceuticals were classified according to the Anatomical Therapeutic Chemical (ATC) system. A composite risk index (CRI = Fr × PR) was developed within an eco-pharmacovigilance framework. The frequency of accumulation (Fr) for each therapeutic group was multiplied by a potential risk score (PR) derived through a structured multidisciplinary expert consensus process integrating clinical toxicity, environmental persistence, and antimicrobial resistance potential. Results: A total of 2184 pharmaceutical units were recorded during the household inventories, of which 28.7% were expired. Expired medications were primarily retained rather than actively used, representing a latent risk for inappropriate self-medication and accidental exposure. The therapeutic groups with the highest CRI values were antihypertensives (CRI = 42.3), antidiabetics (CRI = 37.8), and antibiotics (CRI = 31.5), indicating a relatively higher contribution within the composite risk index framework to overall household pharmaceutical risk. These findings highlight priority therapeutic groups driven by the combined effect of high accumulation frequency, distinct accumulation patterns, and intrinsic hazard. Conclusions: Household pharmaceutical accumulation can be characterized using a composite, eco-pharmacovigilance-based approach that integrates exposure and hazard dimensions. The proposed framework functions as a prioritization tool rather than a precise quantitative measure, enabling the identification of therapeutic groups requiring targeted intervention. Findings should be interpreted as indicative of relative risk patterns rather than precise estimates, given the exploratory design and guided data collection approach. The proposed framework provides a practical tool for prioritizing interventions aimed at improving rational drug use, reducing accumulation, and mitigating environmental impact. Further validation in diverse settings is warranted to strengthen its applicability. Full article