Current Pharmaceutical Design - Online First
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41 - 60 of 120 results
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History, Challenges, and Perspectives of CNS-Targeted Transdermal Formulations
Available online: 06 October 2025More LessCentral nervous system (CNS) disorders, such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and Schizophrenia (Sch) present significant challenges for healthcare systems, both in terms of prevalence and the complexity of pharmacological treatment. While current therapies offer symptomatic relief, there is a high rate of failure in addressing the full spectrum of clinical symptoms and patient adherence issues, especially in long-term care. Since ancient times, various civilizations, including the Chinese, Egyptians, and indigenous South African cultures, have investigated and utilized the transdermal route for therapeutic and medicinal applications. Recent advances in transdermal drug delivery systems (TDS) offer a promising alternative to traditional routes of administration, enhancing drug absorption and minimizing side effects, such as gastrointestinal distress. This review explores the potential of TDS for improving the pharmacotherapy of AD, PD, and Sch. We also highlight the ongoing challenges in optimizing TDS formulations, such as drug absorption through the skin, skin irritation, and maintaining therapeutic efficacy. Furthermore, the review discusses the progress in prodrug design strategies aimed at enhancing skin permeation and bioavailability, particularly in the context of CNS-targeted drugs. The need for continued research into TDS technology is emphasized, as it holds promise for improving treatment adherence, patient quality of life, and caregiver burden, thereby advancing therapeutic options for CNS disorders.
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ACSL4-Mediated Ferroptosis and its Biological Functions and Potential Therapeutic Significance in Liver Diseases
Authors: Dengke Jia, Yaping He, Hao Wu, Qianle Chen and Yawu ZhangAvailable online: 06 October 2025More LessAs the body's main metabolic organ, the liver performs many crucial functions. Liver diseases such as hepatitis and liver cancer are chronic diseases that can seriously damage health. Currently, effective therapeutic strategies remain limited. In recent years, ferroptosis has become an emerging therapeutic target in the diagnosis and treatment of human diseases. Initially identified in tumor cells linked to neurological disorders, it has recently been acknowledged as a crucial element in the advancement of hepatic ailments. Acyl-CoA synthetase long-chain family member 4 (ACSL4) could be a target for ferroptosis driven by unsaturated fatty acid (FA). More specifically, overexpression of ACSL4 causes reactive oxygen species (ROS) and lipid peroxidation (LPO) products to accumulate, therefore aggravating the course of liver cell ferroptosis. Given that ACSL4 has a complex involvement in liver pathophysiology, its targeted control may represent a novel therapeutic approach for liver illnesses. Even so, more research is required to better understand the molecular mechanisms of ACSL4 and its clinical implications. This article will focus on elucidating the key regulatory molecular mechanisms of ACSL4 in ferroptosis and liver disease progression, aiming to highlight ACSL4 as a potential therapeutic target and provide deep insights into the molecular basis of liver pathology.
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Mechanisms, Mediators, and Pharmacological Approaches Targeting Brain Cholesterol Transport in Alzheimer’s Disease
Available online: 01 October 2025More LessCholesterol transport within the brain represents a highly regulated process essential for maintaining neuronal function and central nervous system (CNS) homeostasis. Unlike peripheral tissues, the brain
relies on in situ cholesterol synthesis, primarily by astrocytes and other glial cells, which supply neurons via high-density lipoprotein (HDL)-like particles, identified in the human cerebrospinal fluid (CSF). The major component of HDL-like lipoproteins is the apolipoprotein E (ApoE), whose E4 isoform represents the strongest genetic risk factor for late-onset Alzheimer’s disease (AD). Growing evidence suggests that impaired cholesterol transport contributes to the pathogenesis of various neurodegenerative disorders, particularly AD, a major public health concern due to increasing prevalence and the lack of effective treatments. Indeed, the unconvincing outcomes of the amyloid-targeting monoclonal antibodies underscore the urgency of identifying alternative therapeutic strategies. This review provides a comprehensive analysis of cholesterol transport mechanisms within the brain and their dysregulation in AD by examining the astrocyte-to-neuron cholesterol supply pathways, including endogenous biosynthesis, cholesterol efflux from astrocytes, neuronal uptake, and intracellular processing. Key molecular players involved in each step are discussed, focusing on their roles in AD pathophysiology and potential as therapeutic targets. Furthermore, the review critically evaluates recent preclinical studies exploring pharmacological interventions able to modulate cerebral cholesterol homeostasis. These emerging approaches offer promising alternatives to amyloid-based treatments and may open new perspectives for preventing or mitigating neurodegeneration in AD. By providing an integrated overview of cholesterol transport in the brain, this review highlights novel directions for research and drug development targeting CNS cholesterol metabolism.
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Exploring the Mechanism of Bu Zhong Yi Qi Decoction in Treating Sepsis-induced Acute Lung Injury based on Network Pharmacology and Experimental Verification
Authors: Jiaxin Li, Jiayao Zhao, Zhitao Shan, Jian Zhang, Minghai Gong and Qun LiangAvailable online: 30 September 2025More LessIntroductionSepsis-induced acute lung injury (S-ALI) is one of the diseases with a very high fatality rate. However, the traditional Chinese medicine compound Buzhong Yiqi Decoction (BZYQD) has an excellent effect in the treatment of S-ALI. Nevertheless, its mechanism of action is still unclear. In this study, we explored the molecular mechanisms of S-ALI injury treated with buzhong yiqi decoction through network pharmacology, in combination with in vivo experimental validation.
MethodsTraditional Chinese medicine system pharmacology (TCMSP) database was used to screen thechemical composition of BZYQD and its action targets; Multiple databases were used to collect target genesfor-S-ALI, including OMIM, TTD, GeneCards, and DrugBank; The STRING database was used for the protein-protein interaction (PPI) analysis of the common targets of the BZYQD and the S-ALI; The DAVID databasewas used for GO and KEGG analysis; molecular docking was used to detect the binding capacity of corecomponents and targets. HE staining was used to visualize the pathology of lung tissue in each group; ELISA wasused to detect the levels of inflammatory factors (IL-1β, IL-6, IL-8, NF-κB and TNF-α) and oxidative stressrelatedfactors (LDH, CK-MB, SOD, GSH-Px); The qPCR and Western blot were used to examine the mRNAand protein expression of IL-1β, IL-6, TNF-α NF-κB, p-NF-κB, PI3K, p-PI3K, AKT, and IKKα.
Results113 chemical components and 226 targets were screened from BZYQD; 9059 S-ALI-related geneswere screened out, with a total of 228 intersecting targets between BZYQD and S-ALI. Stigmasterol, quercetin, and isorhamnetin are the core components of BZYQD, PPI analysis shows that AKT1, IL6, TNF, andIL1B are the core targets of BZYQD for treating S-ALI, and molecular docking results show that the corecomponents have high binding activity with the target; Enrichment analysis shows that these core targets arerelated to the TNF signaling pathway. In vivo experimental studies have found that BZYQD can improve thedegree of inflammatory infiltration and edema in lung tissue of S-ALI model mice, reduce the expression ofIL-6, IL-1β, IL-8, TNF-α, LDH, CK-MB, and NF-κB in serum (P0.05), as well as the mRNA and proteinexpression of IL-6, IL-1β, TNF-α, NF-κB, p-NF-κB, PI3K, p-PI3K, AKT, and IKKα in lung tissue (P0.05),and levels of SOD and GSH-Px were increased (P0.05).
DiscussionThe action targets of the main chemical components of BZYQD are TNF, AKT, and IL6. Thesetargets can promote the activation of PI3K and TNF pathways and mediate the occurrence of inflammationand oxidative stress, which provides inspiration for the treatment of S-ALI. However, the results of this study still need to be verified in combination with in vitro approaches.
ConclusionThis study suggests that the mechanism of BZYQD in treating S-ALI may be achieved by inhibiting the TNF and PI3K signaling pathway and reducing inflammation and oxidative stress levels.
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Salvianolic Acid B-Loaded Albumin Nanoparticles Reduce Portal Hypertension in Cirrhotic Mice and Inhibit the Proliferation and Contraction of Hepatic Stellate Cells
Authors: RuiQing Wang, LianJun Xing, Xiao Yu, PeiMin Pu, Nan Shen and YuChen FangAvailable online: 29 September 2025More LessIntroductionSalvianolic acid B (SAB), as one of the major water-soluble compounds of Salvia miltiorrhiza, has proved to effectively reduce elevated portal pressure in cirrhotic rats. However, the short half-life and in vivo retention time of SAB affect its pharmacodynamics. Therefore, in this study, we prepared albumin nanoparticles loaded with SAB (SAB-ALB-NPs) to improve the in vivo retention time of the drug and enhance bioavailability.
MethodsWe prepared and characterized SAB-ALB-NPs, including particle size, polydispersity index (PDI), zeta potential, stability, EE, in-vitro release, and pharmacokinetics. Subsequently, we investigated the effects and potential mechanisms of SAB-ALB-NPs in CCl4-induced portal hypertension (PHT) mice models, and it was found that angiotensin-II (Ang-II) induced proliferation and contraction in hepatic stellate cells (HSCs). The CCl4 (0.3:1 in corn oil, 1mL/kg) was injected repeatedly, leading to the PHT mice model. The effect of SAB-ALB-NPs on PHT mice was evaluated by hematoxylin-eosin, Sirius red staining, immunohistochemistry, and Western blot.
ResultsWe successfully prepared SAB-loaded albumin nanoparticles with smaller-sized particles, lower PDI and zeta potential with stable properties, and higher EE. Importantly, the SAB-ALB-NPs notably prolonged the in vitro release of SAB. SAB-ALB-NPs significantly reduced portal pressure, inhibited inflammation (decrease the concentration of TNF-α and IL-6) and hepatotoxicity of the liver (down-regulated the level of ALT and AST) against fibrous tissue hyperplasia, and reduced collagen deposition in the liver. Afterward, we used Ang-II to facilitate the proliferation of HSCs and induce HSC cell contraction. Cotreatment of SAB-ALB-NPs markedly inhibited Ang II-induced effects on cell proliferation and contraction and improved apoptosis. Importantly, SAB-ALB-NPs were preliminarily found to inhibit the expression of RhoA and ROCK II in Ang-II-treated HSC and CCl4-induced PHT mice, suggesting that SAB-ALB-NPs may participate in the regulation of RhoA/ROCK II pathway.
ConclusionSAB-ALB-NPs improved portal hypertension by suppressing inflammation and inhibiting HSCs activation and proliferation to attenuate liver fibrosis. This therapeutic function of SAB-ALB-NPs may be owing to SAB-ALB-NPs regulating the RhoA/ROCK2 pathway, which may be one of its molecular mechanisms for reducing portal hypertension.
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Para-probiotics as Novel Anti-Inflammatory Agents: Insight into Health Benefits and Therapeutic Applications
Available online: 29 September 2025More LessPara-probiotics, also referred to as non-viable microbial cells or cell components that confer health benefits, are emerging as promising agents in the prevention and management of inflammation-associated diseases. Unlike traditional probiotics, which require viability for efficacy, these inactivated forms offer significant advantages in terms of safety, stability, and applicability in vulnerable populations, including immunocompromised individuals. Recent studies have highlighted their capacity to modulate immune responses, enhance mucosal defense mechanisms, and reinforce intestinal barrier integrity through interactions involving microbial-associated molecular patterns (MAMPs) and host pattern recognition receptors. Such interactions influence signaling cascades like NF-κB, MAPKs, and inflammasome pathways, contributing to anti-inflammatory and immunomodulatory effects. One of the key advantages is the reduced risk of adverse effects and concerns associated with live probiotic use. In addition, their robust physicochemical stability under industrial processing conditions supports their incorporation into a range of functional foods and nutraceuticals. Despite these advantages, their mechanisms of action remain incompletely understood and require further investigation. This review synthesizes current evidence on their anti-inflammatory properties, highlights preclinical and clinical studies, and discusses technological approaches for their production. Overall, these bioactives represent a safe, stable, and efficacious alternative to traditional probiotics in managing inflammatory disorders.
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YF Reduces Alveolar Epithelial Cell Apoptosis and PF by Inactivating JAK2/STAT3
Authors: Na Xiao, Rui Dong, Ying Dong, Xiaoli Li, Yuhui Wang, Shusen Zhang and Xianmei ZhouAvailable online: 25 September 2025More LessIntroductionPulmonary fibrosis (PF) is a chronic pulmonary disorder with unknown etiology and an irreversible course. Traditional Chinese medicine (TCM) possesses promising clinical benefits for PF treatment through a multi-component and multi-target approach. This study evaluates the efficacy of Yangyin Yifei Tongluo Wan (YF), a traditional formulation, in the treatment of PF, and further explores the underlying mechanism.
MethodsA bleomycin (BLM)-induced PF mouse model was established. Mice were administered with low-, medium-, and high-dose YF (1.5, 3, and 6 g/kg/d, respectively). The fibrosis degree of mouse lung tissues was evaluated by morphometric measurements and hydroxyproline (HYP) analysis. Network pharmacology-based bioinformatics were employed for constructing a network involving components, targets, and disease, and YF's potential mechanism and molecular targets for PF therapy were explored. This was further validated by TUNEL staining, Western blot, RT-qPCR, and ELISA in BLM-treated mice.
ResultsYF could relieve PF in BLM-treated mice in a dose-dependent manner, evidenced by a notable decrease in collagen deposition, and collagen I and III, HYP, fibronectin, vimentin, and α-SMA expressions. Network pharmacology revealed that JAK2/STAT3 signaling pathway-mediated alveolar epithelial cell apoptosis may be a potential therapeutic target for YF in treating PF. In vivo assays confirmed that YF's anti-fibrosis effect on BLM-induced PF was ascribed to the suppression of alveolar epithelial cell apoptosis and disruption of the JAK2/STAT3 signaling pathway.
DiscussionYF can block alveolar epithelial cell apoptosis through inactivation of the JAK2/STAT3 signaling, subsequently enhancing the resolution of PF.
ConclusionYF may be a promising therapeutic candidate for PF treatment.
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Potential Role of Natural Oil in the Management of Diabetic Neuropathy- A Review
Available online: 24 September 2025More LessIntroductionDiabetic neuropathy (DN) is a common complication of diabetes with limited therapeutic options. Given its complex pathophysiology involving oxidative stress, inflammation, and impaired nerve function, there is increasing interest in complementary therapies. This review aims to summarize the potential use of natural oils, both as dietary supplements and topical agents, for the prevention and management of DN.
MethodsA systematic literature search was conducted using databases such as SciFinder and PubMed for studies published from 1988 to January 2024. The search employed keywords including “diabetic neuropathy,” “natural oils,” and “bioactive constituents.” Relevant studies involving preclinical and clinical evaluation of natural oils or their active compounds in DN were selected, analyzed, and categorized based on the type of oil, mode of application, and mechanism of action.
ResultsSeveral natural oils of plant and animal origin demonstrated protective and therapeutic effects against DN in both animal models and limited clinical settings. Their beneficial effects were attributed to anti-inflammatory and antioxidant properties, enhanced nerve conduction velocity, and modulation of vascular and neurotrophic factors. Both oral and topical applications contributed to symptom improvement.
DiscussionDue to the involvement of various signalling pathways and complex pathophysiology, DN has long been a condition with few acceptable treatment options. Although several natural oils have demonstrated activity against DN, very few clinical studies have been conducted to explore their therapeutic potential fully.
ConclusionNatural oils represent a potential complementary strategy for managing DN. However, more rigorous clinical investigations are essential to confirm their safety, efficacy, and translational value.
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Development of an Advanced Drug Delivery System for Protein- and Peptide-Based Therapeutics
Available online: 24 September 2025More LessAdvancements in biotechnology have played a key role in driving the development of protein- and peptide-based therapeutics. Drug delivery systems (DDSs) designed for proteins and peptides are carefully crafted to improve drug stability, enhance bioavailability, and reduce toxic side effects by ensuring precise delivery to targeted areas. However, despite their promising therapeutic potential, protein- and peptide-based drugs face substantial challenges due to their distinct physicochemical properties and biological barriers. Ongoing developments in protein- and peptide-based DDSs present valuable solutions to address these challenges, ultimately improving drug stability, delivery accuracy, and therapeutic efficacy. Researchers are actively working on creating innovative carrier technologies to further enhance the effectiveness and precision of these therapeutics. This review examines the wide-ranging applications of protein- and peptide-based therapeutics, explores advanced drug delivery techniques, and highlights various administration routes aimed at overcoming existing obstacles. In conclusion, this review offers a comprehensive understanding of protein- and peptide-based therapeutics as a viable alternative to conventional drug delivery systems, harnessing the power of cutting-edge biotechnological advancements.
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Current Role of the Zebrafish Experimental Model in Pharmacological Evaluations of Drugs: Current and Future Perspectives
Available online: 22 September 2025More LessIntroductionThe zebrafish (Danio rerio), which lives in tropical freshwater, is thought to be one of the best animal models for studying drugs and their effects. This model is unique for its fast growth, clear embryos, genetic similarity to humans, and low cost for experiments. Literature-based data were gathered and shared so that future researchers in the field of pharmacology could get an idea of what kind of work could be done.
MethodsJournal sources like Scopus, Springer, MDPI, and PubMed were used. Seventy-four research papers from 2000 to 2025 were reviewed, but some from before 2020 were added because they were more scientifically sound. Articles about fish that aren't zebrafish were left out.
ResultsIn order to perform preclinical investigations of several ailments, including diabetes, cancer, cardiovascular disease, and neurological disorders, researchers are using zebrafish as an animal model. The reason behind its use is its similar genetic pattern, similar physiology, rapid development, and optical transparency.
DiscussionResearchers have found heart-healthy phospholipids, antitumor peptides, and anti-diabetic chemicals in zebrafish models, which makes them a great way to study human pathophysiology. In vivo studies using zebrafish are also easy to expand and cost-effective.
ConclusionThe emerging zebrafish model is indispensable for translational investigation. This model works as a bridge connecting in vitro assays to mammalian models. The present article is an attempt to showcase the current perspective on the pharmacological model in view of drug discovery involving zebrafish.
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Network Pharmacology Integrated Molecular Docking Analysis Identifies Potential Phytochemicals in Stachys lavandulifolia against Polycystic Ovary Syndrome
Available online: 22 September 2025More LessIntroductionPolycystic ovarian syndrome (PCOS) is a hormonal condition that affects women of reproductive age. The purpose of this study was to identify the undiscovered molecular mechanisms by which Stachys lavandulifolia treats PCOS. Although Stachys lavandulifolia has been used to treat PCOS, its exact biological mechanism of action remains unknown.
MethodsWe used a multifaceted strategy that included network pharmacology, molecular docking, and molecular dynamics simulations.
ResultsNetwork pharmacology discovered 68 gene targets shared by Stachys lavandulifolia bioactive chemicals and PCOS-associated genes. Subsequent KEGG and Reactome analysis identified 18 enhanced pathways, including steroid hormone production, glucose homeostasis, and insulin resistance. Key genes involved in ovarian steroidogenesis and the hypothalamic-pituitary-ovarian axis (CYP19A1, Kiss1, human androgen receptor, oestrogen receptor alpha, and HSD17B1) were chosen for molecular docking.
DiscussionMolecular docking indicated that bioactive substances Myrsen, Agnol, Alpha Pyogenin, and Gamma Morolen have high binding affinities for the identified target proteins. Notably, the CYP19A1-Myrsen complex has the highest binding affinity at -9.0 kcal/mol. Additional molecular dynamics simulations indicated that the CYP19A1-Myrsen complex had increased flexibility and mobility, indicating a stable and effective association.
ConclusionOur findings identify potential gene pathways and interactions through which Stachys lavandulifolia bioactive chemicals exert their therapeutic benefits in PCOS. This study establishes a solid platform for future research into Stachys lavandulifolia as a potential PCOS therapy.
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Promising Targets and Drugs for Improving Head and Neck Cancer Response to Radiotherapy
Available online: 18 September 2025More LessHead and neck cancers, particularly Head and Neck Squamous Cell Carcinoma (HNSCC), encompass a diverse group of malignancies with intricate cellular landscapes. The Tumor Microenvironment (TME) is characterized by constant communication between cancer cells and their surrounding cells. Stromal components, immune infiltrates, and Extracellular Matrix (ECM) elements all play crucial roles in this process. These dialogues shape tumor behavior, spread, and treatment resistance. At the molecular level, DNA Damage Response (DDR) by tumoral cells can reduce cell elimination via Ionizing Radiation (IR). Human Papillomavirus (HPV) infection, in some cases, further complicates the picture. Recent findings highlight how these molecular responses, as well as immune modulation, remodeling cell metabolism, enhanced growth factors, and hypoxia in TME, can influence tumor responses to IR. These findings may lead to strategies for radiosensitizing head and neck cancers. Unraveling these interactions is key to developing more effective treatments. This review focuses on different mechanisms of radioresistance in head and neck cancers. Then, we provide an overview of different targets and potential adjuvants or drugs for radiosensitization of these malignancies.
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Preparation and Evaluation of Sodium Alginate Nanoparticles Containing Recombinant Diphtheria Toxoid (CRM197) and their Immunogenicity in Mice
Available online: 18 September 2025More LessIntroductionRecombinant protein vaccines against infectious diseases, based on immunogenic antigen identification and employing polymeric nanoparticles as a delivery system, can provoke immune responses comparable to or better than traditional vaccines. The production of a safe and immunogenic vaccine against diphtheria was achieved by preparing sodium alginate nanoparticles containing recombinant diphtheria toxoid (CRM197).
MethodsAlginate nanoparticles loaded with CRM197 were prepared using the ionic-gelation method and thoroughly characterized. Safety and immunogenicity studies were conducted in an animal model for comparison with commercial vaccines. Antibody responses were evaluated using both qualitative and quantitative measurements, as determined by the toxin neutralization test (TNT) and indirect ELISA, respectively. IgG subclasses in the sera of immunized mice and possible pathological lesions in vital tissues of all immunized mouse groups were investigated.
ResultsNanoparticles with or without CRM197 were synthesized by the ionic gelation method. LE and LC measurements showed ˃80% and ˃20%, respectively, indicating stable and persistent release without a bursting pattern. In vivo studies showed safety and enhanced immunogenicity in mice immunized with the CRM197-loaded sodium alginate nanoparticles, with higher levels of total anti-CRM197 IgG and subclasses than those induced by conventional vaccines.
DiscussionReducing antigen usage in vaccine production while increasing immunogenicity and safety compared with traditional vaccines are the goals of new vaccine development, which were achieved in the current study.
ConclusionEngineered alginate nanoparticles loaded with recombinant diphtheria antigen (CRM197) demonstrated in vitro controlled and slow release, as well as safety and immunogenicity profiles against diphtheriain vivo. Nanoparticles containing CRM197 antigens equivalent to adult and children doses showed high levels of IgG1 and IgG2a, confirming the combined responses of the humoral and cellular immune systems.
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The Impact of Artificial Intelligence Techniques and Machine Learning on Colorectal Cancer Management
Available online: 15 September 2025More LessBowel cancer, known as colorectal cancer (CRC), is among the most common types of newly diagnosed cancers and a leading cause of cancer-related deaths. Despite advances in medical technology and screening programs, gaps in the detection of colorectal cancer patients persist, leading to delayed diagnoses and poorer outcomes. Therefore, new approaches using artificial intelligence-based analysis with gene panels and traditional risk factors for risk prediction and identification of cases at high risk are urgently warranted. Artificial Intelligence (AI) has emerged as a promising tool to enhance early detection and screening efficacy. Moreover, early detection is crucial for successful treatment and improved survival rates. However, conventional screening methods, such as colonoscopy and fecal occult blood tests (FOBT), have their limitations, including cost, invasiveness, and patient compliance. As a result, many individuals go undiagnosed until the disease has progressed to an advanced stage. In aggregate, the integration of AI in CRC detection holds great promise for bridging the existing gaps and improving patient outcomes. As technology continues to evolve, AI algorithms will become even more sophisticated, accurate, and scalable. Collaboration between clinicians, researchers, and AI developers is essential to harness the full potential of AI for earlier detection and better management of CRC, ultimately saving lives and reducing the global burden of disease.
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Quantification and Engineering of Lipid Nanocapsule Formulations for the Delivery of Niclosamide as an Anti-Cancer Drug
Authors: Hatice Demirtas, Kenan Can Tok, Mehmet Gumustas and Ceyda Tuba Sengel-TurkAvailable online: 12 September 2025More LessIntroductionRecent studies indicate that niclosamide demonstrates considerable promise as both an anthelmintic agent and a possible anticancer medication. Given the increasing interest in nano-sized drug delivery methods for cancer therapy, lipid nanocapsules (LNCs) have emerged as a viable approach to enhance the bioavailability of poorly soluble pharmaceuticals due to their beneficial properties. This research intends to develop niclosamide-loaded lipid nanocapsules (NIC-LNCs) using the phase inversion technique, followed by the optimization of these formulations via the Box-Behnken experimental design.
MethodsA reverse-phase high-performance liquid chromatography (RP-HPLC) method was devised and validated for quantifying niclosamide in the LNC formulations. Optimal chromatographic separation was attained utilizing an Agilent Eclipse XDB-C18 column (150×4.6 mm, 5 µm i.d.) with a mobile phase of a 50:50 (v/v) mixture of acetonitrile and 0.1% H3PO4 phosphate buffer, at a flow rate of 1.2 mL/min. The detection wavelength was set at 335 nm, and the analysis was performed at 35°C. The developed analytical methodology was validated through a comprehensive evaluation of accuracy, linearity, precision, limit of detection, limit of quantitation, specificity, and stability.
ResultsThe optimization of the NIC-LNC formulation through the Box-Behnken design resulted in an optimal formulation labeled LNC5, consisting of 4% niclosamide, 20% lipid, and 20% surfactant. The proven RP-HPLC method enables accurate quantification of NIC in the LNC formulations. The refined NIC-LNC formulation exhibited developed attributes as assessed by the design.
DiscussionNIC-LNCs were successfully prepared with particle sizes below 100 nm, narrow size distributions (PDI<0.2), and negative zeta potential values in accordance with the literature. All formulations exhibited high encapsulation efficiency and sustained drug release profiles. The optimum formulation revealed a particle size of 43.29 ± 0.32 nm, encapsulation efficiency of 99.99 ± 0.02%, and drug release at one week of 68.85 ± 1.76%. The formulation maintained stability throughout the short-term study period.
ConclusionThe findings indicate that LNC systems are a promising method for drug administration, especially for anticancer drugs with limited solubility in water.
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Ranking the Diabetes-related Safety Profile of Different Statin Drugs
Authors: Dongsheng Zheng, Jinsuai Ren, Duo Lv, Qingwei Zhao and Dongsheng HongAvailable online: 12 September 2025More LessIntroductionStatins are widely prescribed for cardiovascular disease prevention, but their potential to increase diabetes risk has prompted regulatory warnings. Different statin drugs have varying physicochemical properties, yet comprehensive comparative assessments of their individual diabetes-related safety profiles remain limited in post-marketing surveillance data. Therefore, this study aimed to evaluate and compare the risk of diabetes-related adverse events among different statin drugs using pharmacovigilance data.
MethodsWe analyzed adverse event reports from the FDA Adverse Event Reporting System (FAERS) database from 2004 to 2022. Diabetes-related adverse events were identified using relevant MedDRA Preferred Terms. Four pharmacovigilance algorithms—Reporting Odds Ratio (ROR), Medicines and Healthcare products Regulatory Agency (MHRA) standard method, Bayesian Confidence Propagation Neural Network, and Multi-Item Gamma Poisson Shrinkage—were employed to detect signals. Positive signals were defined when all four methods showed significance. Outcome severity and time-to-event were also analyzed.
ResultsAmong 13,438,409 ADE reports, 63,583 identified statins as primary suspect drugs, with 11,562 reporting diabetes-related events. Positive signals were detected for atorvastatin, rosuvastatin, simvastatin, pravastatin, and pitavastatin. Signal strength ranking showed atorvastatin had the strongest association (ROR 36.70; 95% CI 35.92-37.51), followed by rosuvastatin (ROR 9.63; 95% CI 9.10-10.19), pitavastatin (ROR 5.46; 95% CI 4.03-7.41), simvastatin (ROR 2.96; 95% CI 2.54-3.45), and pravastatin (ROR 2.82; 95% CI 2.14-3.71). In patients under 45, only atorvastatin showed a positive signal. Atorvastatin was associated with a higher risk of serious adverse events (PRR=1.37; 95% CI: 1.09-1.71) with a median time to event of 1,012 days.
DiscussionOur findings revealed differences in diabetes-related risk profiles among statins, with atorvastatin demonstrating the strongest signals across different age groups. The observed risk hierarchy may be attributed to differences in lipophilicity, potency, and metabolic effects. The age-dependent patterns and extended time-to-event for diabetic events underscore the importance of long-term monitoring, complementing clinical trial data with post-marketing surveillance evidence for improved statin selection.
ConclusionDifferent statins demonstrate varying associations with diabetes-related adverse events, with atorvastatin showing the strongest signal across age groups. These findings may inform clinical decision-making when prescribing statins, particularly for patients with pre-existing diabetes risk factors.
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Nasal Microbiota as a Potential Therapeutic Target for Allergic Rhinitis: An Emerging Perspective
Authors: Bing-Yu Liang, Yi-Pin Yang, Chun-Ya Pan, Fen-Fen Li, Ping-Ting Zhou, Zi-Yue Fu, Yan-Xun Han, Qin Wang, Hai-Feng Pan and Yu-Chen LiuAvailable online: 11 September 2025More LessAllergic Rhinitis (AR) represents a significant global health challenge with extensive prevalence and profound impacts, necessitating the development of novel therapeutic approaches beyond conventional symptomatic treatment. Emerging research has elucidated the crucial role of nasal microbiota dysbiosis in both the pathogenesis and progression of AR. Although the dominant microbial phyla remain largely consistent, significant changes in microbial abundance, composition, and diversity are often observed. In addition, studies have shown a correlation between changes in nasal microbiota and immune markers such as immunoglobulin E levels, suggesting that microbiota changes can reflect the severity of AR. Therefore, targeted modulation of the aberrant nasal microbiota may offer a promising therapeutic approach for this disease. However, further research is crucial for elucidating the causal relationships between specific microbial characteristics, disease severity, and potential comorbidities. This article summarizes recent studies examining the pathogenic role of nasal microbiota dysbiosis, the differential microbial composition across nasal mucosal sites, and potential therapeutic targets in AR. The ultimate goal is to develop precision medicine-based therapeutic interventions that target the underlying pathophysiological mechanisms of AR through specific modulation of dysbiotic nasal microbiota, thereby potentially preventing disease progression and reducing the risk of associated comorbidities.
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Unraveling the Complexity of Polycystic Ovary Syndrome: Biomarkers for Diagnosis, Prognosis, and Treatment
Authors: Saloni Upadhyay, Avijit Mazumder and Saumya DasAvailable online: 09 September 2025More LessPolycystic ovary syndrome is distinguished by alterations in ovarian morphology, ovulatory failure, and increased androgen levels. The National Institutes of Health (NIH) defines it as ovulatory dysfunction accompanied by hyperandrogenism. Women with PCOS may have obesity, type 2 diabetes, anxiety, hypertension, insulin resistance, and pregnancy-related complications. PCOS is additionally linked with a greater chance of cardiovascular and metabolic disorders. Several factors, including LH/FSH ratio, FAI levels, and ovarian USG, should be considered when diagnosing PCOS. The Rotterdam criterion is employed to determine the condition when two of the three features are present and other etiologies are eliminated. Biomarkers have developed as a means of optimizing PCOS diagnosis and treatment results. This review has examined a number of biomarkers associated with PCOS, such as insulin, anti-Mullerian hormone, oxidative stress markers, inflammatory markers, and others. Controlling these disease-related markers may aid in lessening the symptoms of PCOS.
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Flavonoids as Dual Inhibitors of MELK and LYN Kinases in Cervical Cancer: An In Silico Molecular Docking Analysis
Authors: Khalid Zoghebi and Abdulmajeed M. JaliAvailable online: 05 September 2025More LessIntroductionCervical cancer (CC) is among the most prevalent cancers affecting women globally, with a substantial number of deaths reported annually. Despite advancements in treatment, the persistently high mortality rate underscores the urgent need for novel and effective therapeutic strategies.
MethodsThis study screened a library of 240 flavonoids against maternal embryonic leucine zipper kinase (MELK) and LYN using molecular docking methods to achieve precise calculations. These proteins play critical roles in CC progression, and their simultaneous inhibition could mark a significant step forward in multitargeted drug design.
ResultsMolecular docking revealed binding affinities ranging from -10.0649 to -8.14296 kcal/mol for MELK and -10.2748 to -8.5237 kcal/mol for LYN. The screening process was complemented by pharmacokinetics and interaction fingerprinting analyses, which confirmed that the flavonoids effectively bound to optimal sites, forming stable complexes through multiple interactions. Molecular dynamics simulations extended to 100 ns further validated the stability of these protein-ligand complexes.
DiscussionThe findings indicate that the top-ranked compounds exhibit strong binding affinities and stable interactions, highlighting their potential as multitargeted therapeutic agents against CC.
ConclusionThese findings set the stage for future experimental and clinical studies to validate our results and facilitate the development of novel, flavonoid-based therapeutic strategies against cervical cancer, potentially revolutionizing the treatment landscape of this disease.
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Green Tea Catechins and COVID-19: Epidemiological Trends and Therapeutic Perspectives
Available online: 01 September 2025More LessIntroductionPharmacological studies in vitro demonstrate the preventive and therapeutic potential of green tea and its constituent epigallocatechin-3-gallate (EGCG) in the fight against coronavirus disease 2019 (COVID-19). Previously reported correlations between per capita green tea consumption and COVID-19 morbidity/mortality suggest similar effects in vivo. Considering that some recent SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) sub-variants are less influenced by EGCG, this study aimed to determine whether this affects the aforementioned correlations, focusing on comparisons between the periods before (2021) and after (2022-2024) the emergence of the Omicron variant.
MethodsCorrelations between per capita green tea consumption and COVID-19 morbidity/mortality were calculated using multiple regression models accounting for several confounding factors in a subset (n=84) of countries/territories worldwide with Human Development Index (HDI) above 0.55.
ResultsHigher per capita green tea consumption was associated with lower COVID-19 morbidity and mortality. Statistically significant correlations were observed in 2021-2024. Compared with 2021, the strength of both correlations decreased; the relative decrease in the strength of the correlation between per capita green tea consumption and COVID-19 mortality was notably less pronounced.
DiscussionThis differential decrease at the epidemiological level supports the idea that green tea consumption may have not only preventive but also therapeutic value regarding COVID-19. This aligns with in vitro pharmacological evidence indicating that green tea constituents target distinct molecular pathways responsible for the entry of the virus and its replication.
ConclusionWhile promising, these findings require further assessment in observational and interventional studies focused on potential therapeutic benefits.
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