Current Pharmaceutical Design - Volume 31, Issue 7, 2025
Volume 31, Issue 7, 2025
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Nano Revolution: Harnessing Nanoparticles to Combat Antibiotic-resistant Bacterial Infections
Authors: Akash Vikal, Rashmi Maurya, Preeti Patel and Balak Das KurmiNanoparticles, defined as particles ranging from 1 to 100 nanometers in size, are revolutionizing the approach to combating bacterial infections amid a backdrop of escalating antibiotic resistance. Bacterial infections remain a formidable global health challenge, causing millions of deaths annually and encompassing a spectrum from common illnesses like Strep throat to severe diseases such as tuberculosis and pneumonia. The misuse of antibiotics has precipitated the rise of resistant strains like methicillin-resistant Staphylococcus aureus (MRSA), multidrug-resistant Mycobacterium tuberculosis (MDR-TB), and carbapenem-resistant Enterobacteriaceae (CRE), underscoring the critical need for innovative therapeutic strategies. Nanotechnology offers a promising avenue in this crisis. Nanoparticles possess unique physical and chemical properties that distinguish them from traditional antibiotics. Their high surface area to volume ratio, ability to be functionalized with various molecules, and distinctive optical, electronic, and magnetic characteristics enable them to exert potent antibacterial effects. Mechanisms include physical disruption of bacterial membranes, generation of reactive oxygen species (ROS), and release of metal ions that disrupt bacterial metabolism. Moreover, nanoparticles penetrate biofilms and bacterial cell walls more effectively than conventional antibiotics and can be precisely targeted to minimize off-target effects. Crucially, nanoparticles mitigate the development of bacterial resistance by leveraging multiple simultaneous mechanisms of action, which make it challenging for bacteria to adapt through single genetic mutations. As research advances, nanotechnology holds immense promise in transforming antibacterial treatments, offering effective solutions that address current infections and combat antibiotic resistance globally. This review provides a comprehensive overview of nanoparticle applications in antibacterial therapies, highlighting their mechanisms, advantages over antibiotics, and future directions in healthcare innovation.
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Advancing Pharmaceutical Science with Artificial Neural Networks: A Review on Optimizing Drug Delivery Systems Formulation
Authors: Simin Salarpour, Soodeh Salarpour and Mehdi Ansari DogahehDrug Delivery Systems (DDS) have been developed to address the challenges associated with traditional drug delivery methods. These DDS aim to improve drug administration, enhance patient compliance, reduce side effects, and optimize target therapy. To achieve these goals, it is crucial to design DDS with optimal performance characteristics. The final properties of a DDS are determined by several factors that go into formulating a pharmaceutical preparation. Thus, optimizing these factors can lead to the ideal DDS formulation. Artificial Neural Networks (ANN) are computational models that mimic the function of biological neurons and neural networks and perform mathematical operations on inputs to generate outputs. ANN is widely used in medical sciences for modeling disease diagnosis and treatment, dose adjustment in combination therapy, medical education, and other fields. In the pharmaceutical sciences, ANN has gained significant attention for designing and optimizing pharmaceutical formulations. This article reviews the use of ANN in the design and optimization of pharmaceutical formulations, specifically DDS. Since DDS is highly diverse, different factors are examined for each type of DDS. These factors are considered independent and dependent parameters for each ANN model, and various examples are provided. By utilizing ANN, it is possible to establish the relationship between the formulation factors and the resulting DDS characteristics, ultimately leading to the development of optimized DDS.
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Lipid-based Non-viral Vector: Promising Approach for Gene Delivery
Authors: Anupama Panday, Bhupendra Dixena, Nishant Jain and Akhlesh Kumar JainObjectivesThe present review aims to discuss various strategies to overcome intracellular and extracellular barriers involved in gene delivery as well as the advantages, challenges, and mechanisms of gene delivery using non-viral vectors. Additionally, patents, clinical studies, and various formulation approaches related to lipid-based carrier systems are discussed.
MethodsData were searched and collected from Google Scholar, ScienceDirect, PubMed, and Springer.
ResultsIn this review, we have investigated the advantages of non-viral vectors over viral vectors. The advantage of using non-viral vectors are that they seek more attention in different fields. They play an important role in delivering the genetic materials. However, few non-viral vector-based carrier systems have been found in clinical settings. Challenges are developing more stable, site-specific gene delivery and conducting thorough safety assessments to minimize the undesired effects.
ConclusionIn comparison to viral vectors, non-viral vector-based lipid nanocarriers have more advantages for gene delivery. Gene therapy research shows promise in addressing health concerns. Lipid-based nanocarriers can overcome intracellular and extracellular barriers, allowing efficient delivery of genetic materials. Non-viral vectors are more attractive due to their biocompatibility, ease of synthesis, and cost-effectiveness. They can deliver various nucleic acids and have improved gene delivery efficacy by avoiding degradation steps. Despite limited clinical use, many patents have been filed for mRNA vaccine delivery using non-viral vectors.
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Unraveling the Core Components and Critical Targets of Houttuynia cordata Thunb. in Treating Non-small Cell Lung Cancer through Network Pharmacology and Multi-omics Analysis
Authors: Jinyan Yang, Yang Li, Yan Zhang, Ling Xu, Jiahui Wang, Feng Xing and Xinqiang SongObjectiveThis study aimed to preliminary explore the molecular mechanisms of Houttuynia cordata Thunb. (H. cordata; Saururaceae) in treating non-small cell lung cancer (NSCLC), with the goal of screening drug potential targets for clinical drug development.
MethodsThis study employed a multi-omics and multi-source data integration approach to identify potential therapeutic targets of H. cordata against NSCLC from the TCMSP database, GEO database, BioGPS database, Metascape database, and others. Meanwhile, target localization was performed, and its possible mechanisms of action were predicted. Furthermore, dynamics simulations and molecular docking were used for verification. Multi-omics analysis was used to confirm the selected key genes' efficacy in treating NSCLC.
ResultsA total of 31 potential therapeutic targets, 8 key genes, and 5 core components of H. cordata against NSCLC were screened out. These potential therapeutic targets played a therapeutic role mainly by regulating lipid and atherosclerosis, the TNF signaling pathway, the IL-17 signaling pathway, and others. Molecular docking indicated a stable combination between MMP9 and quercetin. Finally, through multi-omics analysis, it was found that the expression of some key genes was closely related not only to the progression and prognosis of NSCLC but also to the level of immune infiltration.
ConclusionThrough comprehensive network pharmacology and multi-omics analysis, this study predicts that the core components of H. cordata play a role in treating NSCLC by regulating lipid and atherosclerosis, as well as the TNF signaling pathway. Among them, the anti-NSCLC activity of isoramanone is reported for the first time.
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Screening of Natural Compounds as Inhibitor of Mpro SARS-CoV-2 Protein; A Molecular Dynamics Approach
BackgroundNew strains of SARS-CoV-2 are continually emerging worldwide. Recently, WHO warned of a severe new wave in Europe. Current vaccines cannot fully prevent reinfection in vaccinated individuals.
AimGiven this issue, recent research focuses on new antiviral candidates with high efficacy and minimal side effects.
ObjectivesScreen natural compounds as inhibitors of Mpro SARS-CoV-2 protein using molecular dynamics.
MethodsIn this study, we have screened the potential of plant-based natural anti-viral compounds. A library of the 579 compounds was generated using currently available literature and online databases. All these compounds were screened based on their binding affinities as predicted by molecular docking analysis and compounds having binding affinity values ≤ -10 Kcal/mol were considered for analysis. Furthermore, from physicochemical assessment, drug-likeness initially nine compounds were identified as the antiviral targets for the selected viral proteins. After ADMET analysis and simulations, the compound 9064 with the lowest RMSD, Coul-SR interaction energy (-71.53 kJ/mol), and LJ-SR energy (-95.32 kJ/mol) was selected as the most stable drug candidate against COVID-19 main protease Mpro.
ResultsThe ΔG value, calculated using MMGBSA also revealed strong binding of the compound with Mpro. The selected antiviral compound 9064 is an antioxidant flavonoid (Catechin or Cianidanol), which was previously known to have significant immunomodulatory, anti-inflammatory, and antioxidant properties.
ConclusionConsidering the limitations of currently available vaccines, our study may provide new insight into potential drugs that may prevent SARS-CoV-2 infection in humans.
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Volumes & issues
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Volume 31 (2025)
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Volume (2025)
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Volume 30 (2024)
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Volume 29 (2023)
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Volume 28 (2022)
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Volume 27 (2021)
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Volume 26 (2020)
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Volume 25 (2019)
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Volume 24 (2018)
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Volume 23 (2017)
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Volume 22 (2016)
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Volume 21 (2015)
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Volume 20 (2014)
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Volume 19 (2013)
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Volume 18 (2012)
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Volume 17 (2011)
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Volume 16 (2010)
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Volume 15 (2009)
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Volume 14 (2008)
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Volume 13 (2007)
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Volume 12 (2006)
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Volume 11 (2005)
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Volume 10 (2004)
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Volume 9 (2003)
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Volume 8 (2002)
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Volume 7 (2001)
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Volume 6 (2000)
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