Search Results (3,739)

Oxidative stress is one of the key elements in lung-related complications such as cystic fibrosis, acute lung injury, pulmonary hypertension, bronchopulmonary dysplasia, chronic airway diseases, lung cancer, COVID-19, and many others. Antioxidant and anti-inflammatory therapy can be considered as supportive alternatives in their management. However, most naturally derived antioxidants face issues with poor aqueous solubility and stability, which hinder their clinical utility. Remarkably, local pulmonary delivery circumvents the severe limitations of oral delivery, including hepatic first-pass metabolism and organ toxicity, and enables a higher drug payload in the lungs. Here, in this review, we present cyclodextrin as a potential drug carrier for pulmonary administration, exploring the possibilities of its surface modification, complexation with other drug transporters, and loading of cannabidiols, siRNA, and antibodies as future trends. However, the lack of a robust physiological model for assessing the efficacy of lung-oriented drug targeting is a significant concern in its path to clinical and commercial success. Full article

L-arginine and its derivatives L-homoarginine, asymmetric dimethylarginine (ADMA), and symmetric dimethylarginine (SDMA) show distinct (patho-) physiological properties as well as a differential renal handling. L-arginine and L-homoarginine have a lower renal clearance and are largely retained (i.e., reabsorbed) as compared to ADMA and SDMA, which are relatively enriched in the urine and excreted. To obtain a more complete picture of what is known regarding transport proteins involved in renal reabsorption and secretion of these substances, a comprehensive literature review and search of cell-specific gene expression databases were performed. Five transport proteins known to transport L-arginine and its derivatives were included, and the data available regarding their tubular expression pattern and their transport characteristics, as well as experimental and clinical data regarding their possible impact on the renal handling of L-arginine and its derivatives, are presented and discussed in a structured narrative review. Based on their transport properties and links to clinical phenotypes, b^0,+AT-rBAT and y⁺LAT1-4F2hc were identified as the most promising candidates to explain a significant part of the observed differential renal handling. This also makes them promising candidates for further investigations as mediators of possible adverse and beneficial drug effects involving L-arginine, L-homoarginine, ADMA, and SDMA. Full article

Background and Objectives: Over the past few years, there has been a significant shift in focus from developing better diagnostic tools to detecting Alzheimer’s disease (AD) earlier and initiating treatment interventions. This review will explore four main objectives: (a) the role of biomarkers in enhancing the diagnostic accuracy of AD, highlighting the major strides that have been made in recent years; (b) the role of neuropsychological testing in identifying biomarkers of AD, including the relationship between cognitive performance and neuroimaging biomarkers; (c) the amyloid hypothesis and possible molecular mechanisms of AD; and (d) the innovative AD therapeutics and the challenges and limitations of AD research. Materials and Methods: We have searched PubMed and Scopus databases for peer-reviewed research articles published in English (preclinical and clinical studies as well as relevant reviews and meta-analyses) investigating the molecular mechanisms, biomarkers, and treatments of AD. Results: Genome-wide association studies (GWASs) discovered 37 loci associated with AD risk. Core 1 biomarkers (α-amyloid Aβ42, phosphorylated tau, and amyloid PET) detect early AD phases, identifying both symptomatic and asymptomatic individuals, while core 2 biomarkers inform the short-term progression risk in individuals without symptoms. The recurrent failures of Aβ-targeted clinical studies undermine the amyloid cascade hypothesis and the objectives of AD medication development. The molecular mechanisms of AD include the accumulation of amyloid plaques and tau protein, vascular dysfunction, neuroinflammation, oxidative stress, and lipid metabolism dysregulation. Significant advancements in drug delivery technologies, such as focused Low-Ultrasound Stem, T cells, exosomes, nanoparticles, transferin, nicotinic and acetylcholine receptors, and glutathione transporters, are aimed at overcoming the BBB to enhance treatment efficacy for AD. Aducanumab and Lecanemab are IgG1 monoclonal antibodies that retard the progression of AD. BACE inhibitors have been explored as a therapeutic strategy for AD. Gene therapies targeting APOE using the CRISPR/Cas9 genome-editing system are another therapeutic avenue. Conclusions: Classic neurodegenerative biomarkers have emerged as powerful tools for enhancing the diagnostic accuracy of AD. Despite the supporting evidence, the amyloid hypothesis has several unresolved issues. Novel monoclonal antibodies may halt the AD course. Advances in delivery systems across the BBB are promising for the efficacy of AD treatments. Full article

P-glycoprotein (Pgp) plays a significant role in the disposition of cardiac glycoside (CG) drugs across the cell membrane. The relatively narrow therapeutic indices of these drugs, coupled with the co-administration of drugs that inhibit Pgp’s transport mechanism, often cause an increased level of CG in the patient’s plasma, resulting in fatal arrhythmia. Therefore, understanding the underlying mechanism of the CG–Pgp interaction is necessary to circumvent Pgp-mediated transport and effectively design next-generation CGs. In this study, we conducted a comparative analysis to examine the interaction with Pgp and further understand the Pgp-mediated transport of digoxin, digitoxin, digoxigenin, and digitoxigenin. Through the drug-induced kinetic studies of Pgp, our findings suggest that each of the four drugs tested has a single binding site within Pgp. The CG–Pgp binding studies demonstrated that digoxin, digitoxin, and digoxigenin had relatively higher binding affinities. The CG-mediated conformational changes in Pgp indicated that each of the drugs shifts Pgp to an “outward-open” conformation in a nucleotide-dependent manner. STDD NMR indicated that the protons within the δ-lactone ring and the tri-D-digitoxose sugar moieties (glycones) predominantly interact with Pgp. Finally, a model was proposed for CG-induced Pgp-mediated ATP hydrolysis and transport by integrating our data with previously published Pgp-mediated CG transport results. Full article

Today, cathinone and its synthetic derivatives are among the most popular narcotics in the world. Their different cytotoxic activities on humans are increasingly and rapidly being published in forensic reports and the scientific literature. New studies demonstrate that these compounds target the apoptosis of some human cancer cell lines. These results could potentially open a new perspective for cathinones’ use as potential therapeutic agents. Even so, the psychostimulant effects of these compounds require testing their activity in the form of drug delivery systems. In our work, we report on the first theoretical studies concerning the potential use of functionalised carbon nanotubes (CNTs) as carriers in the targeted transport of cathinones. Using density functional theory (DFT), we predicted cathinone–CNT interaction energies in environments with different polarity, as well as the stability of complexes in simplified models of healthy and cancer tissue. The results of the current work provide first-step insights into cathinone–CNT non-covalent complex formation in neutral and acidified environments. This study may serve as the theoretical basis for further experimental works on the possibility of using cathinone–CNT complexes in targeted anticancer therapy. Full article

Objective: The development of natural and new P-gp modulators to reverse tumor multidrug resistance (MDR). Methods: Test compounds were prepared from the plant Metaplexis japonica, and their ability to reverse P-glycoprotein (P-gp)-mediated MDR was investigated in HepG2/Dox cells. Their effects on P-gp expression and function and their interaction modes with P-gp were also investigated. Results: Natural product 3β,12β,14β, 17β,20(S)-pentahydroxy-5α-pregnan-12β-O-(E)-cinnamate (1) and its new semisynthetic derivative 3β12β,14β,17β,20(S)-pentahydroxy-5α-pregnan-3β-O-nicotinate-12β-O-(E)-cinnamate (1a) were obtained. At non-cytotoxic concentrations of 5 or 10 μM, they significantly reversed the resistance of HepG2/Dox cells to P-gp substrate drugs doxorubicin, paclitaxel, and vinblastine, with reversal folds of 7.1, 118.5, and 198.3 (1), and 18.8, 335.8, and 140.0 (1a), respectively, at 10 μM. Cell apoptosis and expression of caspase 9 were both triggered by the combination of 10 μM of compound 1 or 1a and 500 nM of paclitaxel (p < 0.001). Compound 1 or 1a did not affect P-gp expression, but it did significantly suppress the efflux of Rhodamine 123 out of HepG2/Dox cells (p < 0.001). On the Caco-2 cell monolayer, 1 and 1a were shown to be non-substrates of P-gp, with efflux ratios of 0.83 and 0.89. Molecular docking revealed their strong binding energies (−8.2 and −8.4 kcal/mol) with P-gp, and their direct binding to P-gp was confirmed by their dissociation constants (5.53 µM for 1 and 3.72 µM for 1a), determined using surface plasmon resonance. Conclusions: Compounds 1 and 1a are potential P-gp modulators; they may reverse P-gp-MDR through interacting with P-gp to interfere with substrate binding and transporting, and have the potential to improve the efficacy of paclitaxel or vinblastine drugs for combating P-gp-mediated MDR in tumor cells. Full article

Multidrug resistance (MDR) remains a formidable barrier to successful cancer treatment, driven by mechanisms such as efflux pump overexpression, enhanced DNA repair, evasion of apoptosis and the protective characteristics of the tumour microenvironment. Nanoparticle-based delivery systems have emerged as promising platforms capable of addressing these challenges by enhancing intracellular drug accumulation, enabling targeted delivery and facilitating stimuli-responsive and controlled release. This review provides a comprehensive overview of the molecular and cellular mechanisms underlying MDR and critically examines recent advances in nanoparticle strategies developed to overcome it. Various nanoparticle designs are analysed in terms of their structural and functional features, including surface modifications, active targeting ligands and responsiveness to tumour-specific cues. Particular emphasis is placed on the co-delivery of chemotherapeutic agents with gene regulators, such as siRNA, and the use of nanoparticles to deliver CRISPR/Cas9 gene editing tools as a means of re-sensitising resistant cancer cells. While significant progress has been made in preclinical settings, challenges such as tumour heterogeneity, limited clinical translation and immune clearance remain. Future directions include the integration of precision nanomedicine, scalable manufacturing and non-viral genome editing platforms. Collectively, nanoparticle-based drug delivery systems offer a multifaceted approach to combat MDR and hold great promise for improving therapeutic outcomes in resistant cancers. Full article

Studies utilizing cell-based systems to investigate plant-based diets for diabetes management are gaining attention due to the adverse effects associated with commercially available drugs. However, the molecular mechanisms underlying the anti-diabetic effects of specific plant-derived products remain inadequately explored. The major aim of our study was to elucidate the molecular mechanisms by which bioactive compounds in the fruit of Solanum spp. influence key proteins associated with type 2 diabetes. The expressions of genes such as glucose transporter protein 4 (GLUT4), myocyte enhancer factor-2 (MEF-2A), and nuclear respiratory factor-1 (NRF-1) were investigated in a palmitate-induced C2C12 cell model of type 2 diabetes mellitus. The structures of these proteins were retrieved from the protein database, while bioactive compounds previously identified in Solanum spp. were obtained from PubChem site. Drug-likeness properties of these compounds (ligands) were assessed. The docked protein-ligand complexes were further analyzed using the Protein-Ligand Profiler web server. Our results showed that the studied compounds from Solanum spp. profoundly upregulated GLUT4 expression (9–19-fold increase) in the C2C12 cell line, thus surpassing the effects of the standard anti-diabetic drug metformin. Additionally, activities of antioxidant enzymes catalase, superoxide dismutase, and glutathione peroxidase were elevated. Molecular docking showed that rutin, an abundant flavonoid from Solanum spp., had the highest binding affinity for the active sites of the target proteins. These findings provide new mechanistic insight into the anti-diabetic effects of Solanum spp., primarily due to its high rutin content, which plays a major role in the plant’s glucose-regulating and antioxidant actions. Our findings underscore the potential use of Solanum spp. as an affordable functional food for managing type 2 diabetes, especially in developing countries with limited resources for purchasing drugs. Although promising, our findings should be further validated by clinical studies. Full article

Background/Objectives: Pain—whether acute, chronic, or neuropathic—remains a leading cause of disability and reduced quality of life worldwide. Despite advances in pharmacologic options, interindividual variability in response and susceptibility to adverse effects continues to challenge clinicians. In recent years, pharmacogenetics has emerged as a promising approach to optimize analgesic selection and dosing based on patient-specific genetic profiles. This perspective examines current pharmacogenetic evidence in pain management, focusing on validated biomarkers and their clinical implications. Methods: A narrative review was conducted of recent literature addressing the impact of genetic polymorphisms on the pharmacokinetics and pharmacodynamics of analgesic agents. Particular focus was given to genes involved in drug metabolism and transport as well as receptor signaling, along with the clinical applications of genotype-informed prescribing. Results: Substantial evidence indicates that genetic variants significantly influence patient responses to analgesics, contributing to both inadequate pain relief and heightened sensitivity to adverse effects. The main pharmacogenetic biomarkers appear to be CYP2C9 (for NSAIDs), CYP2D6 (for opioids and tricyclic antidepressants), CYP2C19 (for tricyclic antidepressants) and HLA-B*15:02 and HLA-A*31:01 for carbamazepine. PGx-informed strategies have shown promise in improving analgesic effectiveness, reducing opioid-related complications, and supporting opioid-sparing protocols. Conclusions: Pharmacogenetic screening represents a valuable tool for personalizing pain management. Incorporating validated pharmacogenetic biomarkers into clinical practice could improve treatment outcomes and patient safety. Further research, infrastructure development, and clinician education are essential for scaling PGx implementation in pain care. Full article

New psychoactive substances (NPSs) have emerged as a significant global public health challenge due to their ability to mimic traditional drugs. Among these, mephedrone has gained attention because of its widespread use and associated toxicities. This review provides a comprehensive analysis of the structure, pharmacokinetic properties, and metabolic pathways of mephedrone, highlighting its phase I and phase II metabolites as potential biomarkers for detection and forensic applications. A comprehensive literature search was performed without date restrictions. The search employed key terms such as “mephedrone metabolites”, “pharmacokinetics of mephedrone”, “phase I metabolites of mephedrone”, and “phase II metabolites of mephedrone”. Additionally, the reference lists of selected studies were screened to ensure a thorough review of the literature. Mephedrone is a chiral compound existing in two enantiomeric forms, exhibiting different affinities for monoamine transporters and distinct pharmacological profiles. In vivo animal studies indicate rapid absorption, significant tissue distribution, and the formation of multiple phase I metabolites (e.g., normephedrone, dihydromephedrone, 4-carboxymephedrone) that influence its neurochemical effects. Phase II metabolism involves conjugation reactions leading to metabolites such as N-succinyl-normephedrone and N-glutaryl-normephedrone, further complicating its metabolic profile. These findings underscore the importance of elucidating mephedrone’s metabolic pathways to improve detection methods, enhance our understanding of its toxicological risks, and inform future therapeutic strategies. Full article

Tau protein is essential for the structural stability of neurons, particularly through its role in microtubule assembly and axonal transport. However, when abnormally hyperphosphorylated or cleaved, Tau can aggregate into insoluble forms that disrupt neuronal function, contributing to the pathogenesis of neurodegenerative diseases such as Alzheimer’s disease (AD). Emerging evidence suggests that similar Tau-related alterations may occur in individuals with chronic exposure to psychoactive substances. This review compiles experimental, clinical, and postmortem findings that collectively indicate a substance-specific influence on Tau dynamics. Alcohol and opioids, for instance, promote Tau hyperphosphorylation and fragmentation through the activation of kinases such as GSK-3β and CDK5, as well as proteases like caspase-3, leading to neuroinflammation and microglial activation. Stimulants and dissociatives disrupt insulin signaling, increase oxidative stress, and impair endosomal trafficking, all of which can exacerbate Tau pathology. In contrast, cannabinoids and psychedelics may exert protective effects by modulating kinase activity, reducing inflammation, or enhancing neuroplasticity. Psychedelic compounds such as psilocybin and harmine have been demonstrated to decrease Tau phosphorylation and facilitate cognitive restoration in animal models. Although the molecular mechanisms differ across substances, Tau consistently emerges as a convergent target altered in substance-related cognitive disorders. Understanding these pathways may provide not only mechanistic insights into drug-induced neurotoxicity but also identify Tau as a valuable biomarker and potential therapeutic target for the prevention or treatment of cognitive decline associated with substance use. Full article

The intra-articular application of drugs has gained considerable interest with regard to formulations for advanced drug delivery systems. It has been identified as a potential route for local drug delivery. A drug agent is usually incorporated into the hydrogel to prolong and control the drug release. This study aimed to design and evaluate an intra-articular hydrogel based sodium hyaluronate, which was modified with an additional polymer to enable the sustained release of the incorporated anti-inflammatory agent, diclofenac sodium (NaDic). Viscosity studies, drug release tests and FTIR−ATR measurements, as well as DSC analysis, were carried out to evaluate the obtained formulations. The viscosity measurements were performed using a rotational viscometer. The drug release was carried out by employing the apparatus paddle over the disk. The concentration of the released drug was obtained spectrophotometrically. The results revealed that the addition of the second polymer to the matrix influenced the dynamic viscosity of the hydrogels. The highest viscosity of (25.33 ± 0.55) × 10³ cP was observed when polyacrylic acid (PA) was doped in the formulation. This was due to the hydrogen bond formation between both polymers. The FTIR−ATR investigations and DSC study revealed the hydrogen bond formation between the drug and both polymers. The drug was released the slowest from hydrogel doped with PA and 17.2 ± 3.7% of NaDic was transported to the acceptor fluid within 8 h. The hydrogel based on hyaluronan sodium doped with PA and containing NaDic is a promising formulation for the prolonged and controlled intra-articulate drug delivery of anti-inflammatory agents. Full article

Background: Drug–drug interactions (DDIs) may occur when two or more drugs are taken together, leading to undesired side effects or potential synergistic effects. Most clinical effects of drug combinations have not been assessed in clinical trials. Therefore, predicting DDIs can provide better patient management, avoid drug combinations that can negatively affect patient care, and exploit potential synergistic combinations to improve current therapies in women’s healthcare. Methods: A DDI prediction model was built to describe relevant drug combinations affecting reproductive treatments. Approved drug features (chemical structure of drugs, side effects, targets, enzymes, carriers and transporters, pathways, protein–protein interactions, and interaction profile fingerprints) were obtained. A unified predictive score revealed unknown DDIs between reproductive and commonly used drugs and their associated clinical effects on reproductive health. The performance of the prediction model was validated using known DDIs. Results: This prediction model accurately predicted known interactions (AUROC = 0.9876) and identified 2991 new DDIs between 192 drugs used in different female reproductive conditions and other drugs used to treat unrelated conditions. These DDIs included 836 between drugs used for in vitro fertilization. Most new DDIs involved estradiol, acetaminophen, bupivacaine, risperidone, and follitropin. Follitropin, bupivacaine, and gonadorelin had the highest discovery rate (42%, 32%, and 25%, respectively). Some were expected to improve current therapies (n = 23), while others would cause harmful effects (n = 11). We also predicted twelve DDIs between oral contraceptives and HIV drugs that could compromise their efficacy. Conclusions: These results show the importance of DDI studies aimed at identifying those that might compromise or improve their efficacy, which could lead to personalizing female reproductive therapies. Full article

The Caco-2 in vitro model of the intestinal barrier is a well-established system for the investigation of the intestinal fate of orally ingested chemicals and drugs, and it has been used for over ten years by pharmaceutical industries as a model for absorption in preclinical studies. The Caco-2 model shows a fair correlation with in vivo drug absorption, though some inherent biases remain unresolved. Its main limitation lies in the lack of structural complexity, as it does not replicate the diverse cell types and mucus layer present in the human intestinal epithelium. Consequently, the development of advanced in vitro models of the intestinal barrier, that more structurally resemble the human intestinal epithelium physiology, has increased the potential applications of these models. Recently, Caco-2-based advanced intestinal models have proven effective in predicting nanomaterial uptake and transport across the intestinal barrier. The aim of this review is to provide a state-of-the-art of human in vitro intestinal barrier models for the study of translocation/uptake of nanoparticles relevant for oral exposure, including inorganic nanomaterials, micro/nano plastic, and fiber nanomaterials. The main effects of the above-mentioned nanomaterials on the intestinal barrier are also reported. Full article

This paper focuses on the numerical modeling of drug diffusion in biological tissues using fractional time-dependent parabolic equations with non-local boundary conditions. The model includes a Caputo fractional derivative to capture the non-local effects and memory inherent in biological processes, such as drug absorption and transport. The theoretical framework of the problem is based on the work of Alhazzani, et al.,which demonstrates the solution’s goodness, existence, and uniqueness. Building on this foundation, we present a robust numerical method designed to deal with the complexity of fractional derivatives and non-local interactions at the boundaries of biological tissues. Numerical simulations reveal how fractal order and non-local boundary conditions affect the drug concentration distribution over time, providing valuable insights into drug delivery dynamics in biological systems. The results underscore the potential of fractal models to accurately represent diffusion processes in heterogeneous and complex biological environments. Full article