Search Results (425)

Cervical cancer affects 661,000 women worldwide; as a result, new treatment alternatives are still being sought, with steroid oximes being the most prominent. However, the molecular targets where steroid oximes exert their anticancer activity remain unknown. In this study, reports of the activity in cell lines were obtained, and the targets associated with cervical cancer were identified using bioinformatics tools, based on two- and three-dimensional structural similarity analysis. Subsequently, molecular targets were analyzed via molecular docking using Schrödinger software v.2022-4 to determine their effects compared with reference drugs. Interrelated proteins and isolated proteins were observed, suggesting both the multi-target and single-target activity of steroid oximes. The analysis revealed that 60% of the 42 identified proteins had previously been reported in the literature and were associated with cervical cancer in processes related to cell proliferation, invasion, migration, and apoptosis. Among them, SRC, IGF1R, and MDM2 showed feasibility for multi-target interaction, which is consistent with the lower IC₅₀ values reported for oximes in cervical cancer cell lines (HeLa and CaSki). This finding suggests that steroid oximes are multi-target molecules that can inhibit the proteins associated with cervical cancer, particularly through the IGF1R, MDM2, and SRC pathways related to cell proliferation and apoptosis, serving as a guideline for the future design of new steroidal oximes. Full article

Ulcerative colitis (UC), a subtype of inflammatory bowel disease (IBD), is a chronic, relapsing inflammatory condition that significantly impairs the patient’s quality of life. While biologics have transformed disease management, a substantial number of patients remain unresponsive or lose efficacy over time. Tofacitinib (TOFA), an oral Janus kinase (JAK) inhibitor, introduces a novel therapeutic class of small-molecule drugs with a unique oral administration route, offering enhanced patient convenience and broader accessibility compared to parenterally administered biologics. As the first oral treatment approved for moderate to severe UC in years, TOFA acts by modulating the JAK/STAT pathway, influencing critical inflammatory mediators such as IL-6, IL-17, and IFN-γ. However, response rates are variable and appear dose-dependent, with up to 60% of patients showing inadequate therapeutic outcomes. This review represents the first comprehensive synthesis focused specifically on biomarkers of TOFA response in UC. Drawing on multi-omics data—epigenomics, transcriptomics, proteomics, and cellular profiling, we highlight emerging predictors of responsiveness, including CpG methylation signatures (e.g., LRPAP1 and FGFR2), transcriptomic regulators (e.g., REG3A and CLDN3), immune and epithelial cell shifts, and the cationic transporter MATE1. TOFA demonstrates a dual mechanism by modulating immune responses while supporting epithelial barrier restoration. Despite being promising, TOFA’s dose-dependent efficacy and interpatient variability underscore the critical need for non-invasive, predictive biomarkers to guide personalized treatment. As the first review of its kind, this work establishes a basis for precision medicine approaches to optimize the clinical utility of TOFA in UC management. Full article

Heat shock protein 90 (HSP90) is a molecular chaperone that plays a pivotal role in the stabilization and functional activation of numerous oncoproteins and signaling molecules essential for cancer cell survival and proliferation. Despite the extensive development and clinical evaluation of HSP90 inhibitors, their therapeutic potential as monotherapies has been limited by suboptimal efficacy, dose-limiting toxicity, and the emergence of drug resistance. Recent studies have demonstrated that combination therapies involving HSP90 inhibitors and other anticancer agents such as chemotherapeutics, targeted therapies, and immune checkpoint inhibitors can enhance anticancer activity, overcome resistance mechanisms, and modulate the tumor microenvironment. These synergistic effects are mediated by the concurrent degradation of client proteins, the disruption of signaling pathways, and the enhancement of antitumor immunity. However, the successful clinical implementation of such combination strategies requires the careful optimization of dosage, administration schedules, toxicity management, and patient selection based on predictive biomarkers. In this review, we provide a comprehensive overview of the mechanistic rationale, preclinical and clinical evidence, and therapeutic challenges associated with HSP90 inhibitor-based combination therapies. We also discuss future directions leveraging emerging technologies including multi-omics profiling, artificial intelligence, and nanoparticle-mediated delivery for the development of personalized and effective combination regimens in oncology. Full article

Polypharmacology, the rational design of small molecules that act on multiple therapeutic targets, offers a transformative approach to overcome biological redundancy, network compensation, and drug resistance. This review outlines the scientific rationale for polypharmacology, highlighting its success across oncology, neurodegeneration, metabolic disorders, and infectious diseases. Emphasis is placed on how polypharmacological agents can synergize therapeutic effects, reduce adverse events, and improve patient compliance compared to combination therapies. We also explore how computational methods—spanning ligand-based modeling, structure-based docking, network pharmacology, and systems biology—enable target selection and multi-target ligand prediction. Recent advances in artificial intelligence (AI), particularly deep learning, reinforcement learning, and generative models, have further accelerated the discovery and optimization of multi-target agents. These AI-driven platforms are capable of de novo design of dual and multi-target compounds, some of which have demonstrated biological efficacy in vitro. Finally, we discuss the integration of omics data, CRISPR functional screens, and pathway simulations in guiding multi-target design, as well as the challenges and limitations of current AI approaches. Looking ahead, AI-enabled polypharmacology is poised to become a cornerstone of next-generation drug discovery, with potential to deliver more effective therapies tailored to the complexity of human disease. Full article

Cancer remains one of the most formidable challenges to human health; hence, developing effective treatments is critical for saving lives. An important strategy involves reactivating tumor suppressor genes, particularly p53, by targeting their negative regulator MDM2, which is essential in promoting cell cycle arrest and apoptosis. Leveraging a drug repurposing approach, we screened over 24,000 clinically tested molecules to identify new MDM2 inhibitors. A key innovation of this work is the development and application of a selective cleaning algorithm that systematically filters assay data to mitigate noise and inconsistencies inherent in large-scale bioactivity datasets. This approach significantly improved the predictive accuracy of our machine learning model for pIC₅₀ values, reducing RMSE by 21.6% and achieving state-of-the-art performance (R² = 0.87)—a substantial improvement over standard data preprocessing pipelines. The optimized model was integrated with structure-based virtual screening via molecular docking to prioritize repurposing candidate compounds. We identified two clinical CB1 antagonists, MePPEP and otenabant, and the statin drug atorvastatin as promising repurposing candidates based on their high predicted potency and binding affinity toward MDM2. Interactions with the related proteins MDM4 and BCL2 suggest these compounds may enhance p53 restoration through multi-target mechanisms. Quantum mechanical (ONIOM) optimizations and molecular dynamics simulations confirmed the stability and favorable interaction profiles of the selected protein–ligand complexes, resembling that of navtemadlin, a known MDM2 inhibitor. This multiscale, accuracy-boosted workflow introduces a novel data-curation strategy that substantially enhances AI model performance and enables efficient drug repurposing against challenging cancer targets. Full article

Rheumatoid arthritis (RA) is a progressive and systemic autoimmune disease, characterized by a chronic inflammatory process, affecting the lining of the synovial joints, many body organs/systems, and blood vessels. Its pathological hallmarks are hyperplasic synovium, bone erosion, and progressive joint destruction. Rheumatoid arthritis affects over 20 million people, with a worldwide prevalence of 0.5–1.0%, exhibiting gender, ethnic, and geographical differences. The progressive disability severely impairs physical motion and quality of life and is finally leading to a shortened life span. The pathogenesis of RA is a complex and still poorly understood process in which genetic and environmental factors are principally associated. Current treatment mostly relies on conventional/non-biological disease-modifying anti-rheumatic drugs (cDMARDs), analgesics, non-steroidal anti-inflammatory drugs, glucocorticoids, steroids, immunosuppresants, and biologic DMARDs, which only control inflammation and pain. Along with side effects (drug toxicity and intolerance), these anti-rheumatic drugs possess limited efficacy. Therefore, the discovery of novel multi-target therapeutics with an improved safety profile that function as inhibitors of RA-linked signaling systems are in high demand, and this is in the interest of both patients and clinicians. Plant-derived extracts, nutritional supplements, dietary medicine, and molecules with anti-inflammatory activity represent promising adjuvant agents or alternatives for RA therapeutics. This review not only aims to discuss the basic features of RA pathogenesis, risk factors, and signaling pathways but also highlights the research progress in pre-clinical RA in in vitro and in vivo models, revealing new avenues in the management of the disease in terms of comprehensive multidisciplinary strategies originating from medicinal plants and plant-derived molecules. Full article

Plasmodium falciparum is the causative agent of malaria, a parasitic disease that affects millions of people in terms of prevalence and is associated with hundreds of thousands of deaths. Current antimalarial medications, in addition to exhibiting moderate to serious adverse reactions, are not efficacious enough due to factors such as drug resistance. In silico approaches can speed up the discovery and design of new molecules with wide-spectrum antimalarial activity. Here, we report a unified computational methodology combining a perturbation theory machine learning model based on multilayer perceptron networks (PTML-MLP) and the fragment-based topological design (FBTD) approach for the prediction and design of novel molecules virtually exhibiting versatile antiplasmodial activity against diverse P. falciparum strains. Our PTML-MLP achieved an accuracy higher than 85%. We applied the FBTD approach to physicochemically and structurally interpret the PTML-MLP, subsequently extracting several suitable molecular fragments and designing new drug-like molecules. These designed molecules were predicted as multi-strain antiplasmodial inhibitors, thus representing promising chemical entities for future synthesis and biological experimentation. The present work confirms the potential of combining PTML modeling and FBTD for early antimalarial drug discovery while opening new horizons for extended computational applications for antimicrobial research and beyond. Full article

Background: Cytokine release syndrome (CRS) is a life-threatening systemic inflammatory condition marked by excessive cytokine production, leading to multi-organ dysfunction. It is commonly associated with T-cell-engaging therapies such as chimeric antigen receptor (CAR) T cells, T-cell receptor bispecific molecules, and monoclonal antibodies. Carfilzomib, a proteasome inhibitor, is known to cause a range of adverse effects, primarily hematologic and cardiovascular. However, multiorgan failure grade 5 (fatal), resembling CRS has not been previously reported in association with Carfilzomib. Case Report: A 74-year-old male with relapsed multiple myeloma developed grade 5 multiorgan failure 60 min after the third dose of Carfilzomib, resulting in death within 24 h of symptom onset. The patient tolerated the first doses of Carfilzomib well with only fever and headache developing post infusion. Before the second dose, the patient developed worsening pancytopenia, prompting the discontinuation of Lenalidomide. After the second Carfilzomib infusion, he experienced fever and transient encephalopathy, which resolved with acetaminophen, corticosteroids, and supportive care. However, following the third dose, he rapidly deteriorated—developing fever, tachycardia, hypotension, hypoxia, and encephalopathy. Despite aggressive management with intravenous fluids, broad-spectrum antibiotics, corticosteroids, and tocilizumab, the patient progressed to refractory shock and multi-organ failure, culminating in death within 24 h. A comprehensive infectious workup was negative, ruling out sepsis and suggesting possible Carfilzomib-induced CRS. Conclusion: Grade 5 multiorgan failure with signs and symptoms similar with CRS following Carfilzomib administration is a rare but potentially fatal adverse drug reaction. Further research is needed to better define the risk factors and optimal management strategies for Carfilzomib-induced multiorgan failure and possible CRS. Full article

Background/Objectives: Leishmaniasis is a prevailing infectious disease transmitted via infected phlebotomine sandflies. The lack of an efficient vaccine with respect to immunogenic antigens and adjuvanted delivery systems impedes its control. Following the induction of immune responses in mice vaccinated with multi-epitope Leishmania peptides (LeishPts) encapsulated in doubly adjuvanted self-nanoemulsifying drug delivery systems (ST-SNEDDSs), this study aims to assess ST-SNEDDS-based nanoemulsions as vehicles for the delivery of antigenic proteins. Methods: Model antigens (e.g., BSA-FITC, OVA) were encapsulated in ST-SNEDDS after being complexed with the cationic phospholipid dimyristoyl phosphatidylglycerol (DMPG) via hydrophobic ion pairing. The nanoemulsions were characterized with respect to droplet diameter, zeta potential, stability, protein loading, protein release from the nanodroplets in different release media and cell uptake. Results: Both model antigens exhibited high encapsulation efficiency (>95%) and their release from the nanodroplets was shown to be strongly affected by the type of release medium (e.g., PBS, FBS 10% v/v) and the ratio of its volume to that of the oily phase, in agreement with predictions of protein release. Protein-loaded nanoemulsion droplets labeled with Cy-5 were found to be efficiently taken up by macrophages (J774A.1) in vitro. However, no colocalization of the labeled nanodroplets and BSA-FITC could be observed. Conclusions: It was revealed that in contrast with LeishPts, whole protein molecules may not be appropriate antigenic cargo for ST-SNEDDS formulations due to the rapid protein release from the nanodroplets in release media simulating in vitro culture and in vivo conditions such as FBS 10% v/v. Full article

Pathogenic bacteria such as the drug-resistant strains of Staphylococcus aureus dominate our medical and environmental landscape, causing hundreds of thousands of deaths from infections and life-threatening complications following surgeries. The availability of antibiotics and treatment protocols to control these microbes are becoming increasingly more limited as antibiotic resistance becomes more prevalent. In this article, a new family of small molecules referred to as N-organothio β-lactams is presented that have unique features and a mode of action against these pathogenic microbes, including multi-drug resistant strains, that may offer new options to address these concerns. This review gives an overview of the initial discovery, exploration and ongoing development of these synthetic antibacterial agents, with a focus on their unique properties and capabilities that provide fresh opportunities for combating pathogenic bacteria. Full article

Alzheimer’s disease (AD) is a chronic and complex neurodegenerative disorder characterized by progressive cognitive decline, memory loss, and irreversible impairment of brain functions. The etiology of AD is multifactorial, involving a complex interplay of genetic, environmental, and physiological factors, including the aggregation of amyloid-β (Aβ) and oxidative stress (OS). The role of OS in AD pathogenesis is of particular significance, given that an imbalance between oxidants and antioxidants promotes cellular damage, exacerbates Aβ deposition, and leads to cognitive deterioration. Despite extensive research, current therapeutic strategies have largely failed, likely due to the use of single-target drugs unable to halt the multifactorial progression of the disease. In this study, we investigated the synergistic therapeutic effect of plant-derived bioactive compounds Withanone, Apigenin, Bacoside A, Baicalin, and Thymoquinone in combination with N,N-Dimethyltryptamine (NN-DMT), a psychedelic molecule. We used a transgenic Caenorhabditis elegans model to assess the behavioral and molecular outcomes following compound exposure. Motility assays, thioflavin S staining, and survival assays under oxidative stress were employed to evaluate the treatment efficacy. The results of the behavioral and molecular analyses indicated that the combination therapy exhibited a higher efficacy than the monotherapies, leading to a significant reduction in age-related motility defects in the AD model. Furthermore, the combination treatment substantially reduced Aβ plaque burden, enhanced survival following OS insult, and demonstrated a synergistic effect in mitigating AD-related hallmarks. Taken together, these findings support the potential of combining NN-DMT with specific bioactive compounds as a promising multi-target therapeutic approach for AD. Full article

Cholangiocarcinoma (CCA) is an aggressive tumor that originates from the epithelial cells of the bile duct and has the ability to metastasize to the liver or lymph nodes at an early stage. CCA metastasis represents a complex, multi-stage cascade process. Among these stages, the acquisition of invasiveness by CCA cells is a critical prerequisite for metastatic progression. Elucidating the molecular mechanisms driving CCA cell invasiveness is critical for advancing our knowledge in this field. Emerging evidence highlights the critical role of non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). These molecules orchestrate key processes such as the epithelial–mesenchymal transition (EMT), as well as the migration and invasion of CCA cells. Collectively, these processes ultimately drive tumor progression. This review comprehensively synthesizes the expression, biogenesis, interactions, signaling pathways, and functional mechanisms of ncRNAs in the invasiveness of CCA. Furthermore, the review discusses potential clinical applications of ncRNAs, including their roles as diagnostic tools, therapeutic targets, and prognostic markers. These investigations offer novel insights and evidence for identifying early metastasis in CCA, developing specific therapeutic strategies, and enhancing drug resistance. Full article

Lysine acetyltransferase 8 (KAT8) is a member of the MYST family of histone acetyltransferases. It catalyzes the acetylation of histone H4 at lysine 16 (H4K16ac) and non-histone proteins. Abnormal upregulation or downregulation of KAT8 and its associated H4K16ac have been observed in malignant tumors, suggesting its close association with tumorigenesis and progression. Characterized by structural diversity and multi-target mechanisms, natural agents have been increasingly shown to possess significant antitumor activity. This review focuses on KAT8, summarizing its molecular mechanisms in regulating tumor development by catalyzing substrate protein acetylation, which impacts tumor cell proliferation, cell cycle regulation, apoptosis, DNA damage repair, and autophagy. It also systematically discusses the pharmacological activities and molecular mechanisms of small-molecule agents that target KAT8 to inhibit tumor proliferation, including natural compounds, synthetic drugs, and non-coding RNAs. Full article

Improving the manufacturability of drug formulations via direct compression has been of great interest for the pharmaceutical industry. Selecting excipients plays a vital role in obtaining a high-quality product without the wet granulation processing step. In particular, for diluents which are usually present in a larger amount in a formulation, choosing the correct one is of utmost importance in the production of tablets via any method. In this work, we assessed the possibility of manufacturing a small-molecule drug product, omeprazole, which has been historically manufactured via a multi-step processes such as wet granulation and multiple-unit pellet system (MUPS). For this purpose, four prototypes were developed using several diluents: a co-processed excipient (Microcelac^®), two granulated forms of alpha-lactose monohydrate (Tablettose^® 70 and Tabletose^® 100), and a preparation of microcrystalline cellulose (Avicel^® PH102) and lactose (DuraLac^® H), both of which are common excipients without any enhancement. The tablets were produced using a single punch tablet press and thoroughly characterized physically and chemically in order to assess their functionality and adherence to drug product specifications. The direct compression process was used for the manufacturing of all proposed formulations, and the prototype formulated using Microcelac^® showed the best results and performance during the compression process. In addition, it remained stable over twelve months under 25 °C/60% RH conditions. Full article

Background: Ischemic stroke (IS) is a severe condition with limited therapeutic options. Pyroptosis, a type of programmed cell death linked to inflammation, is closely associated with IS-related damage. Studies suggest inflammation aligns with the traditional Chinese medicine (TCM) concept of “fire-heat syndrome”. Huanglian Jiedu Decoction (HLJD), a TCM formula known for clearing heat and purging fire, has shown therapeutic effects on IS, potentially by regulating pyroptosis. Study design: Eight-week-old male mice were divided into six groups: sham operation, model, positive drug, and low-, medium-, and high-dose HLJD groups. After a week of adaptive feeding, mice received respective treatments for five days, followed by modeling on the sixth day, with samples collected 23 h post-perfusion. Analyses included multi-omics, physiology, histopathology, virtual drug screening, target affinity assessment, and molecular biology techniques to measure relevant indicators. Results: HLJD effectively mitigated IS-related damage, maintaining neurological function, reducing ischemic levels, protecting cellular morphology, inhibiting neuronal apoptosis, and preserving blood–brain barrier integrity. Bioinformatics of high-throughput omics data revealed significant activation of pyroptosis and related inflammatory pathways in IS. ScRNA-seq identified neutrophils, macrophages, and microglia as key pyroptotic cell types, suggesting potential therapeutic targets. Network pharmacology and molecular docking identified NLRP3 as a critical target, with 6819 ligand–receptor docking results. SPR molecular fishing, LC-MS, molecular dynamics, and affinity measurements identified small molecules with high affinity for NLRP3. Molecular biology techniques confirmed that HLJD regulates pyroptosis via the classical inflammasome signaling pathway and modulates the inflammatory microenvironment. Conclusions: Following IS, pyroptosis in myeloid cells triggers an inflammatory cascade, leading to neural damage. HLJD may inhibit NLRP3 activity, reducing pyroptosis and associated inflammation, and ultimately mitigating damage. Full article