Search Results (695)

Background: Pulmonary fibrosis (PF), the end-stage manifestation of interstitial lung disease, is defined by excessive extracellular matrix deposition and alveolar destruction. Activated fibroblasts, the primary matrix producers, rely heavily on dysregulated glucose metabolism for their activation. While Salt Inducible Kinase 2 (SIK2) regulates glycolytic pathways in oncogenesis, its specific contributions to fibroblast activation and therapeutic potential in PF pathogenesis remain undefined. This study elucidates the functional role of SIK2 in PF and assesses its viability as a therapeutic target. Methods: SIK2 expression/localization in fibrosis was assessed by Western blot and immunofluorescence. Fibroblast-specific Sik2 KO mice evaluated effects on bleomycin-induced fibrosis. SIK2’s role in fibroblast activation and glucose metabolism impact (enzyme expression, metabolism assays, metabolites) were tested. SIK2 inhibitors were screened and evaluated therapeutically in fibrosis models. Results: It demonstrated significant SIK2 upregulation, specifically within activated fibroblasts of fibrotic lungs from both PF patients and murine models. Functional assays demonstrated that SIK2 is crucial for fibroblast activation, proliferation, and migration. Mechanistically, SIK2 enhances fibroblast glucose metabolism by increasing the expression of glycolysis-related enzymes. Additionally, this study demonstrated that the SIK2 inhibitor YKL06-061 effectively inhibited PF in both bleomycin and FITC-induced PF mouse models with the preliminary safety profile. Furthermore, we identified a novel therapeutic application for the clinically approved drug fostamatinib, demonstrating it inhibits fibroblast activation via SIK2 targeting and alleviates PF in mice. Conclusions: Our findings highlight SIK2 as a promising therapeutic target and provide compelling preclinical evidence for two distinct anti-fibrotic strategies with significant potential for future PF treatment. Full article

Chemoresistance is a major challenge in the treatment of triple-negative breast cancer (TNBC). Multicellular spheroids are an attractive platform for investigating chemoresistance in TNBC, as they replicate the cues of the tumour microenvironment in vivo. We conducted a comprehensive literature search to summarise the multifactorial and interlinked mechanisms driving chemoresistance in TNBC spheroids. These mechanisms include spatial heterogeneity, hypoxia, extracellular matrix remodelling, tumour–stroma crosstalk, drug efflux, apoptotic resistance, and cancer stem cell signalling. Strategies for overcoming chemoresistance in TNBC spheroids include nanocarrier systems to overcome spatial diffusion limitations, pathway inhibition, and targeting tumour–microenvironment interactions. Despite their advantages, some spheroid models face challenges such as low reproducibility, a lack of heterogeneity, variability in size and shape, limited vascularisation, and constraints in long-term culture. Advanced culturing platforms such as clinostat bioreactors allow for extended culture periods, enabling mature spheroid drug testing. Furthermore, advanced analytical techniques provide spatially resolved spheroid data. These multifactorial and interlinked mechanisms reflect the tumour microenvironment in vivo that spheroids recapitulate, rendering them valuable models for studying chemoresistance. The incorporation of stromal components and advanced analytical workflows will enhance the utility and translational relevance of spheroids as reliable preclinical models for drug discovery in TNBC. Full article

Background and Objectives: The Hippo pathway, via Yes-associated protein 1 (YAP1), regulates cell proliferation, apoptosis, and tissue regeneration. Aberrant YAP1 activation is linked to tumor progression and immune evasion in various cancers, including breast carcinoma, despite conflicting evidence on its prognostic value. Preclinical studies have explored drugs targeting YAP1–TEAD interactions, but therapeutic application is limited. Materials and Methods: This study included 50 patients with locally advanced breast cancer, who were assessed by a multidisciplinary tumor board and underwent neoadjuvant treatment per tumor subtype and clinical guidelines. Eligibility required both pre-treatment core biopsy and post-treatment surgical resection samples. Due to the absence of residual tumor in some patients achieving complete pathological response, post-treatment tissue was available and analyzable in 30 patients. YAP1 expression was evaluated immunohistochemically for nuclear and cytoplasmic staining patterns. ROC analysis identified a cutoff for YAP1 expression, defining tumors with ≥70% nuclear and ≥80% cytoplasmic staining. Results: YAP1 expression had a significant relationship with tumor subtype (p = 0.001), being most frequent in HER-2-positive tumors (55.6%) and least frequent in luminal tumors (11.1%). YAP1 positivity significantly predicted axillary pathological complete response (pCR) (p = 0.01). In YAP1-positive patients, 77.8% achieved axillary pCR compared to 31.7% in YAP1-negative patients, though the YAP1 status and breast pCR association were insignificant (p = 0.07). The Mann–Whitney U test indicated that higher Ki-67 values were significantly associated with positive YAP1 expression (p = 0.028). In contrast, there was no association between ER, PR status, age, and tumor size. Following treatment, there was a statistically significant change in YAP1 expression, with nuclear staining decreasing (p = 0.004) while cytoplasmic staining increased (p = 0.002). YAP1 was significantly linked to axillary pCR, HER-2 status, and Ki-67. Conclusions: Post treatment, nuclear YAP1 decreased, whereas cytoplasmic expression increased, showing a localization shift. These results suggest that YAP1 may predict treatment response and become a future therapeutic target. Full article

A series of eleven new N-alkyl 3-(3-benzyloxyquinoxalin-2-yl) propanamides were prepared based on the azide coupling of 3-(3-benzyloxyquinoxalin-2-yl) propanhydrazide with a variety of primary and secondary amines and the consequent conjunction of a broad spectrum of lipophile and hydrophile characters to a quinoxaline ring system. 3-(3-benzyloxyquinoxalin-2-yl) propanhydrazide was produced in a two-step reaction of methyl 3-(3-oxo-3,4-dihydroquinoxalin-2-yl) propanoate with benzyl chloride followed by the hydrazinolysis of the corresponding ester. The antiproliferative activity of the compounds was tested in various cancer cell lines, including PC-3, Hela, HCT-116, and MCF-7; they showed a wide spectrum of activity for most of the tested compounds. Compound 6k exhibited the highest activity, which was comparable to that of doxorubicin, with IC₅₀ (µM) values of 12.17 ± 0.9, 9.46 ± 0.7, 10.88 ± 0.8, and 6.93 ± 0.4 µM compared to 8.87 ± 0.6, 5.57 ± 0.4, 5.23 ± 0.3, and 4.17 ± 0.2 µM for doxorubicin against Hela, HCT-116, and MCF-7, respectively. The in silico mechanistic study revealed the inhibition of HDAC-6 through the binding of the unique zinc finger ubiquitin-binding domain (HDAC6 Zf-UBD). The docking results showed a specific binding pattern that emphasized the crucial role of the quinoxaline ring and its substituents. The newly developed derivatives were evaluated for antitumor effects against four cancer cell lines PC-3, HeLa, HCT-116, and MCF-7. This research led to the identification of a quinoxaline-based scaffold exhibiting broad-spectrum antiproliferative activity and a distinct mechanism involving binding to HDAC6 Zf-UBD. The findings highlight its potential for further optimization and preclinical studies to support future anticancer drug development. Full article

Cisplatin was the first metal-based anticancer drug introduced into clinical use. It is a “small” molecule, but it represented a very “big” discovery. Since it was introduced on the market, it has not been withdrawn, despite being not free of side effects, owing to its peculiarity of being highly effective in the treatment of cancer. Anticancer activity of the platinum-based complexes was discovered with this molecule; since then, several other platinum-based drugs have been developed and tested in preclinical studies against cancer cells; however, only a few of them reached clinical trials, and their side effects are not much less than cisplatin. Despite the constraints of drug resistance and side effects, chemotherapy remains a fundamental strategy in cancer treatment. Nowadays, cisplatin remains one of the most-used anticancer agents in treating lung, colon, ovary, testicles, bladder, cervix, and many more cancers, although cisplatin resistance represents a major hurdle in cancer treatment. Will there ever be another drug that can overcome the side effects of cisplatin but at the same time be able to block tumors as does cisplatin? Full article

Background/Objectives: Lung cancer is a highly diverse disease, and reliable preclinical models that accurately reflect tumor characteristics are essential for studying lung cancer biology and testing new therapies. This study aimed to establish patient-derived tumor organoids (PDTOs) using small biopsy samples and surgical specimens to create a model system that preserves the genetic and histological features of the original tumors. Methods: PDTOs were generated from 163 lung cancer specimens, including 109 samples obtained using endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) or bronchoscopy, 52 surgical specimens, and 2 pleural fluid samples. The organoid establishment rate beyond passage three was assessed, and histological subtypes and genetic profiles were analyzed using immunohistochemical staining and targeted exome sequencing. Results: The overall PDTO establishment rate was 34.4% (56/163), and 44.6% (25/56) of these organoids retained the histological and genetic features of the parental tumors. Genetic analysis identified key mutations, including KRAS G12C, EGFR L858R, MET exon 14 skipping mutation, and ROS1 fusion. PDTOs successfully formed tumors in mice while maintaining the genetic characteristics of the original tumors. Co-culture of PDTOs with cancer-associated fibroblasts (CAFs) resulted in increased resistance to paclitaxel. In the co-culture model of PDTOs with immune cells, dose-dependent growth inhibition of PDTOs was observed in response to immune checkpoint inhibitors. Conclusions: PDTOs established from small biopsy and surgical specimens serve as a valuable model for studying lung cancer biology, tumor microenvironment interactions, and drug response. This model has the potential to improve personalized treatment strategies. Full article

Background: To overcome the limitations of conventional CRC (colorectal cancer) mouse models in replicating metastasis and enabling efficient therapeutic evaluation, we developed a novel implantation method using tissue adhesive to establish reproducible orthotopic and metastatic tumors. Conventional models using injection or suturing techniques often suffer from technical complexity, inconsistent tumor establishment, and limited metastatic reliability. Methods: We developed and validated a novel orthotopic and metastatic CRC model utilizing tissue adhesive for tumor transplantation. Uniform tumor fragments derived from bioluminescent HCT116/Luc xenografts were affixed to the cecum of nude mice. Tumor growth and metastasis were monitored through bioluminescence imaging and confirmed by the results of histological analysis of metastatic lesions. The model’s utility for therapeutic testing was evaluated using MK801, an NMDA receptor antagonist. Results: The biological-based model demonstrated rapid and reproducible tumor implantation (<5 min), consistent primary tumor growth, and robust metastasis to the liver and lungs. The biological-based approach achieved 80% tumor engraftment (4/5), with consistent metastasis to the liver and lungs in all mice, compared with lower and variable metastasis rates in injection (0%, 0/5) and suturing (20%, 1/5) methods. MK801 treatment significantly suppressed both primary tumor growth and metastasis, validating the model’s suitability for preclinical drug evaluation. Conclusions: By enabling rapid, reproducible, and spontaneous formation of metastatic lesions using a minimally invasive tissue adhesive technique, our model represents a significant methodological advancement that supports high-throughput therapeutic screening and bridges the gap between experimental modeling and clinical relevance in colorectal cancer research. Full article

The success of checkpoint inhibitors in improving cancer patient survival has demonstrated the therapeutic potential of immunotherapies. This advancement has reshaped oncology treatment and driven interest in harnessing immune modulation for a wider range of diseases. However, developing drugs that modulate immune activity presents unique challenges. A major limitation in preclinical research is the inefficiency of testing human-specific immune targets in animal models, which often fail to translate to clinical outcomes. Additionally, conventional in vitro systems lack immune reactivity due to their static and monocellular nature, limiting their predictive value. Advanced in vitro models can bridge this gap by offering increasingly relevant human physiology for testing drug efficacy and safety, along with absorption, distribution, metabolism, and excretion (ADME). In particular, immune-competent spheroids, organoids, and organs-on-a-chip (OoC) have emerged as promising tools. Although still in their infancy, these microphysiological systems (MPSs) have demonstrated the feasibility of replicating immune responses ex vivo, providing a new avenue for studying immune-targeting drugs with higher translational potential. In this review, we explore recent advances in immune-competent organoid and OoC models, highlighting their capabilities and limitations. We provide a perspective on their applications for cancer drug testing, discussing how these systems could refine preclinical immuno-oncology research and accelerate the development of next-generation immunotherapies. Full article

Background/Objectives: Human pluripotent stem cells (hPSCs) and organoid technologies are transforming pharmaceutical research by providing models that more accurately reflect human physiology, genetic variability, and disease mechanisms. This review aims to assess how these systems improve the predictive power of preclinical drug development while addressing ethical concerns and supporting the advancement of precision medicine. Methods: We conducted a comprehensive review of the recent literature focusing on the biological principles, technological developments, and pharmaceutical applications of hPSC- and organoid-based systems. Particular attention was given to patient-derived models, integration of omics approaches, bioengineering advances, and artificial intelligence applications in drug screening workflows. Results: hPSC- and organoid-based platforms outperform traditional 2D cultures and animal models in replicating human-specific pathophysiology, enabling personalized drug testing and improving predictions of therapeutic efficacy and safety. These technologies also align with the ethical principles of the 3Rs (replacement, reduction, and refinement) by reducing reliance on animal experimentation. However, challenges persist, including standardization of protocols, batch-to-batch variability, and scalability. Promising solutions involve automation, high-throughput screening, and multi-omics integration, which collectively enhance reproducibility and translational relevance. Conclusions: Stem cell- and organoid-based systems offer a more human-relevant, ethical, and individualized approach to biomedical research. Despite current limitations, ongoing interdisciplinary innovations are expected to accelerate their clinical and industrial adoption. Collaborative efforts will be essential to standardize methodologies and fully realize the potential of these models in bridging preclinical and clinical drug development. Full article

The SARS-CoV-2 main protease (Mpro) is a validated therapeutic target for inhibiting viral replication. Few compounds have advanced clinically, underscoring the difficulty in optimizing both target affinity and drug-like properties. To address this challenge, we integrated machine learning (ML), molecular docking, and molecular dynamics (MD) simulations to investigate the balance between pharmacodynamic (PD) and pharmacokinetic (PK) properties in Mpro inhibitor design. We developed ML models to classify Mpro inhibitors based on experimental IC₅₀ data, combining molecular descriptors with structural insights from MD simulations. Our Support Vector Machine (SVM) model achieved strong performance (training accuracy = 0.84, ROC AUC = 0.91; test accuracy = 0.79, ROC AUC = 0.86), while our Logistic Regression model (training accuracy = 0.78, ROC AUC = 0.85; test accuracy = 0.76, ROC AUC = 0.83). Notably, PK descriptors often exhibited opposing trends to binding affinity: hydrophilic features enhanced binding affinity but compromised PK properties, whereas hydrogen bonding, hydrophobic, and π–π interactions in Mpro subsites S2 and S3/S4 are fundamental for binding affinity. Our findings highlight the need for a balanced approach in Mpro inhibitor design, strategically targeting these subsites may balance PD and PK properties. For the first time, we demonstrate antagonistic trends between pharmacokinetic (PK) and pharmacodynamic (PD) features through the integrated application of ML/MD. This study provides a computational framework for rational Mpro inhibitors, combining ML and MD to investigate the complex interplay between enzyme inhibition and drug likeness. These insights may guide the hit-to-lead optimization of the novel next-generation Mpro inhibitors of SARS-CoV-2 with preclinical and clinical potential. Full article

Human-induced pluripotent stem cell (iPSC)-derived hepatocyte-like cells (HLCs) have been shown to be useful for the development of cell-based regenerative strategies and for modelling drug discovery. However, stem cell-derived HLCs are not identical in nature to primary human hepatocytes (PHHs), which could affect the cell phenotype and, potentially, model reliability. Therefore, we employed the in-depth gene expression profiling of HLCs and other important and relevant cell types, which led to the identification of clear similarities and differences between them at the transcriptional level. Through gene set enrichment analysis, we identified that genes that are critical for immune signalling pathways become downregulated upon HLC differentiation. Our analysis also found that TAV.HLCs exhibit a mild gene signature characteristic of acute lymphoblastic leukaemia, but not other selected cancers. Importantly, HLCs present significant similarity to PHHs, making them genuinely valuable for modelling human liver biology in vitro and for the development of prototype cell-based therapies for pre-clinical testing. Full article

Background: The retina plays a vital role in vision, and its impairment can cause significant visual deficits. Current retinal disease treatments range from conventional anti-inflammatory drugs to advanced anti-VEGF therapies and monoclonal antibodies. TnP, a novel synthetic peptide in preclinical development, has demonstrated therapeutic potential in chronic inflammatory conditions such as multiple sclerosis and asthma due to its immunomodulatory properties. Using zebrafish—which share significant genetic homology with humans—we investigated TnP’s effects on retinopathy models mimicking diabetic retinopathy (DR) through either cobalt chloride (CoCl₂)-induced hypoxia or light-induced retinal damage (LIRD). Methods: We employed two retinal injury models (CoCl₂-induced hypoxia and LIRD) and subjected them to TnP treatment, assessing the outcomes through visual–motor response testing and histological examination. Results: CoCl₂ exposure impaired swimming activity, while light damage reduced the movement distance. Both models induced distinct retinal morphological changes. Although TnP failed to reverse most injury effects, it specifically restored the inner plexiform layer (IPL)’s thickness. Conclusions: Our findings suggest that TnP may enhance neuronal plasticity by promoting cell proliferation and synaptic connectivity. While showing promise as a therapeutic candidate for retinal and neurodegenerative disorders, TnP might achieve optimal efficacy when combined with complementary treatments. Full article

All human clinical trials evaluating neuroprotective therapeutics in cerebral ischemia have failed, casting a pall over the field which has not recovered. Numerous methodological issues in the performance of these trials were identified, with the result that current trials are now subject to higher degrees of rigor and transparency. Advances in re-canalization technologies now offer the hope that adjunctive neuroprotection can improve patient outcome. The evaluation of neuroprotection in preclinical animal models has also suffered from methodological issues, which has also been addressed, resulting in an improved performance of studies. This leaves the question of how to actually pick the most appropriate neuroprotective therapy for translation. Given the current limitations in resources, and the numerous strategies that have been proposed to take advantage of clinical and preclinical methodological improvements, we suggest that in vitro studies involving subjecting the most sensitive cells—neurons—to oxygen–glucose deprivation (OGD) can be used to resolve among the many possibilities. Specifically, a large body of evidence shows that successive increases in OGD durations (spanning the lethal/supra-lethal continuum) require increasingly ‘strong’ drugs and combinations to adequately protect neurons (criteria not met in clinical trials). Notably, as the OGD duration is lengthened, NMDA receptor (NMDAR) antagonists of increasing potency and dose are required to match this increasing severity. Under supra-lethal OGD conditions, cocktails composed of anti-excitotoxic antagonists with maximal potency and dose are required to achieve neuroprotection. We propose that this approach can serve as a strategy—a neuroprotective framework—to prioritize among the many possibilities that exist for neuroprotective therapeutics for translation. Specifically, utilize the OGD continuum to compare within-, between- and outside-classes of drugs, first alone and then in combinations, to identify the most efficacious drugs (‘head-to-head’ competitions to identify the ‘last man standing’). While the current state of knowledge strongly suggests that anti-excitotoxic approaches are required, this framework allows the integration of testing established and new therapeutics alike. This framework should include new technologies such as multi-electrode arrays (MEAs), which allow the evaluation of adverse effects of drugs alone, as well as if a drug truly provides functional neuroprotection, and not just survival. The neuroprotective framework provides a comprehensive strategy to eliminate ineffectual treatments, leaving only those modalities with the highest therapeutic index to be prioritized for translation. Full article

Background/Objectives: Ovarian cancer is the most lethal gynecologic malignancy due to its late diagnosis, aggressive disease course, and high likelihood of recurrence. In the last few years, with the advent of high-throughput genomic methodologies, our understanding of ovarian cancer genetics and biology has grown. In this review, we discuss current monitoring techniques, as well as biomarker-directed therapies, recently developed for ovarian cancer treatment. Methods: The primary literature and review articles were obtained through PUBMED searches of “ovarian cancer”, “biomarkers”, “CA125”, “circulating tumor DNA”, “BRCA”, “HER2”, “TROP2”, and “FOLR1.” Results and Conclusions: The detection and quantification of CA125, a protein biomarker, remains the primary test used in the clinic for ovarian cancer diagnosis and monitoring. However, liquid biopsy techniques involving circulating tumor DNA, used alone or in combination with CA125, are increasingly used to enhance diagnostic accuracy and provide a more comprehensive picture of tumor genomic changes, including single-nucleotide variants, copy number variations, and epigenetic alterations. In the last few years, the use of BRCA, HER2, TROP2, and FOLR1 as biomarkers for targeted treatment has demonstrated promising results, both preclinically and clinically. The detection of BRCA1/2 mutations is routinely used as a strong predictor of response to PARP inhibitors, while HER2, TROP2, and FOLR1 expressions have emerged as primary targets for the treatment of recurrent ovarian cancer patients using novel antibody–drug conjugates (ADCs). Full article

Human pathogenic fungi are the source of various illnesses, including invasive, cutaneous, and mucosal infections. One promising solution is using nanoparticles (NPs) as an antifungal agent. The current study aims to assess the antimicrobial and antifungal effects of drug-loaded silver nanoparticles (AgNPs) with previously reported mebeverine analogue (MA) as a potential drug candidate targeting gut microbiota and inflammation in the gastrointestinal tract. Density Functional Theory (DFT) calculations were conducted to identify possible mechanisms by which AgNPs could prevent microorganisms from growing. In vitro and ex vivo anti-inflammatory, in vitro antimicrobial, ex vivo spasmolytic activities, and in vitro hepatic cell morphology and proliferation of drug-loaded AgNPs were assessed. The drug-loaded AgNPs were considered to have promising antifungal activity against all tested fungal strains, Aspergillus niger, Penicillium chrysogenum, and Fusarium moniliforme, and yeasts, Candida albicans, Saccharomyces cerevisiae, and good antimicrobial activity against Gram-positive and Gram-negative bacterial strains. The results of in vitro and ex vivo determination of anti-inflammatory activity indicated that the drug-loaded AgNPs preserved MA’s anti-inflammatory activity and decreased inflammation. A similar effect was observed in spasmolytic activity measurements. Drug-loaded AgNPs also influenced the morphology and proliferation of hepatic cells, indicating a potential for improved gut and liver therapeutic efficacy. Each test was performed in triplicate, and the results were reported as mean values. Based on the results, drug-loaded AgNPs might be a promising antimicrobial agent, maintaining the MA’s potential as a spasmolytic and anti-inflammatory agent. Future in vivo and preclinical experiments will contribute to establishing the in vivo properties of drug-loaded AgNPs. Full article