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- Volume 30, Issue 38, 2024
Current Pharmaceutical Design - Volume 30, Issue 38, 2024
Volume 30, Issue 38, 2024
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3D Printed Nanosensors for Cancer Diagnosis: Advances and Future Perspective
Cancer is the leading cause of mortality worldwide, requiring continuous advancements in diagnosis and treatment. Traditional methods often lack sensitivity and specificity, leading to the need for new methods. 3D printing has emerged as a transformative tool in cancer diagnosis, offering the potential for precise and customizable nanosensors. These advancements are critical in cancer research, aiming to improve early detection and monitoring of tumors. In current times, the usage of the 3D printing technique has been more prevalent as a flexible medium for the production of accurate and adaptable nanosensors characterized by exceptional sensitivity and specificity. The study aims to enhance early cancer diagnosis and prognosis by developing advanced 3D-printed nanosensors using 3D printing technology. The research explores various 3D printing techniques, design strategies, and functionalization strategies for cancer-specific biomarkers. The integration of these nanosensors with detection modalities like fluorescence, electrochemical, and surface-enhanced Raman spectroscopy is also evaluated. The study explores the use of inkjet printing, stereolithography, and fused deposition modeling to create nanostructures with enhanced performance. It also discusses the design and functionalization methods for targeting cancer indicators. The integration of 3D-printed nanosensors with multiple detection modalities, including fluorescence, electrochemical, and surface-enhanced Raman spectroscopy, enables rapid and reliable cancer diagnosis. The results show improved sensitivity and specificity for cancer biomarkers, enabling early detection of tumor indicators and circulating cells. The study highlights the potential of 3D-printed nanosensors to transform cancer diagnosis by enabling highly sensitive and specific detection of tumor biomarkers. It signifies a pivotal step forward in cancer diagnostics, showcasing the capacity of 3D printing technology to produce advanced nanosensors that can significantly improve early cancer detection and patient outcomes.
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A New Frontier in Phytotherapy: Harnessing the Therapeutic Power of Medicinal Herb-derived miRNAs
By Ya-long FengMedicinal herbs have been utilized in the treatment of various pathologic conditions, including neoplasms, organ fibrosis, and diabetes mellitus. However, the precise pharmacological actions of plant miRNAs in animals remain to be fully elucidated, particularly in terms of their therapeutic efficacy and mechanism of action. In this review, some important miRNAs from foods and medicinal herbs are presented. Plant miRNAs exhibit a range of pharmacological properties, such as anti-cancer, anti-fibrosis, anti-viral, anti-inflammatory effects, and neuromodulation, among others. These results have not only demonstrated a cross-species regulatory effect, but also suggested that the miRNAs from medicinal herbs are their bioactive components. This shows a promising prospect for plant miRNAs to be used as drugs. Here, the pharmacological properties of plant miRNAs and their underlying mechanisms have been highlighted, which can provide new insights for clarifying the therapeutic mechanisms of medicinal herbs and suggest a new way for developing therapeutic drugs.
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Nanomaterials in Targeting Cancer Cells with Nanotherapeutics: Transitioning Towards Responsive Systems
Authors: Bhawana Jain, Dakeshwar Kumar Verma, Reena Negi Rawat and Elyor BerdimurodovOn a global scale, cancer is a difficult and devastating illness. Several problems with current chemotherapies include cytotoxicity, lack of selectivity, stem-like cell growth, and multi-drug resistance. The most appropriate nanomaterials for cancer treatment are those with characteristics, such as cytotoxicity, restricted specificity, and drug capacity and bioavailability; these materials are nanosized (1-100 nm). Nanodrugs are rarely licenced for therapeutic use despite growing research. These compounds need nanocarrier-targeted drug delivery experiments to improve their translation. This review describes new nanomaterials reported in the literature, impediments to their clinical studies, and their beneficial cancer therapeutic use. It also suggests ways to use nanomaterials in cancer therapy more efficiently and describes the intrinsic challenges of cancer treatment and the different nanocarriers and chemicals that can be utilised for specified tumour targeting. Furthermore, it provides a concise overview of cancer theranostics methods, with a focus on those that make use of nanomaterials. Although nanotechnology offers a great source for future advancements in cancer detection and therapy, there is an emerging need for more studies to address the present barriers to clinical translation.
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Exploring the Biomarkers and Potential Mechanisms of Botulinum Toxin Type A in the Treatment of Microglial Inflammatory Activation through P2X7 Receptors based on Transcriptome Sequencing
Authors: Kai Zhang, Yi Ren, Jiayang Lv, Peng Mao, Wenming Zhou, Yongqiang Shi, Kaisheng Zhou, Linna Wang, Chengjun Zhang and Haihong ZhangAimsThis study aims to explore the potential mechanism by which Botulinum toxin type A (BoNT/A) inhibits microglial inflammatory activation through P2X7 receptors (P2X7R).
BackgroundBoNT/A is a promising analgesic drug, and previous studies have established that it alleviates Neuropathic Pain (NP) by inhibiting microglial inflammatory activation. This study examined the biomarkers and potential mechanisms by which BoNT/A relieves neuropathic pain by mediating microglial P2X7R and analyzing transcriptome sequencing data from mouse BV-2 microglial cells.
ObjectiveThe P2X7R agonist Bz-ATP was used to induce microglial inflammatory activation, whilst RNA-seq technology was used to explore the biomarkers and potential mechanisms through which BoNT/A suppresses microglial inflammation.
MethodsRNA sequencing was performed on three BV-2 cell samples treated with a P2X7R specific activator (Bz-ATP) and three BV-2 cell samples pre-treated with BoNT/A. Only data that successfully passed quality control measures were included in subsequent analysis. Initially, Differentially Expressed Genes (DEGs) were identified from BoNT/A and control samples, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Biomarkers were then identified by constructing a Protein-Protein Interaction (PPI) network and utilizing the CytoHubba plug-in in Cytoscape software. Lastly, enrichment analysis and regulatory network analysis were performed to elucidate the potential mechanism of BoNT/A in the treatment of NP.
Results93 DEGs related to the “cell component size regulation” GO term and enriched in the “axon guidance” KEGG pathway were identified. Subsequently, 6 biomarkers were identified, namely PTPRF, CHDH, CKM, Ky, Sema3b, and Sema3f, which were enriched in pathways related to biosynthesis and metabolism, disease progression, signal transduction, and organelle function, including the “ribosome” and “Wnt signaling pathway.” Finally, a competing endogenous RNA (ceRNAs) network was constructed from 6 mRNAs, 66 miRNAs, and 31 lncRNAs, forming a complex relationship network.
ConclusionSix genes (PTPRF, Sema3b, Sema3f, CHDH, CKM, and Ky) were identified as biomarkers of microglial inflammatory activation following BoNT/A treatment. This finding may provide a valuable reference for the relief and treatment of neuropathic pain.
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Mechanisms Underlying the Therapeutic Effects of Nicotinamide Mononucleotide in Treating High-fat Diet-induced Hypertrophic Cardiomyopathy based on GEO Datasets, Network Pharmacology, and Molecular Docking
Authors: Yuan-chun Han, Li Wang, Yi-dan Zhang, Ao-jia Zhou, Zi-ping Wang, Wen-huan Dong, Jian-peng Wang, Ting Wang and Jun ZouBackgroundThe beneficial effects of nicotinamide mononucleotide (NMN) on heart disease have been reported, but the effects of NMN on high-fat diet-induced hypertrophic cardiomyopathy (HCM) and its mechanisms of action are unclear. In this study, we systematically explored the effects and mechanism of action of NMN in HCM using network pharmacology and molecular docking.
MethodsActive targets of NMN were obtained from SWISS, CNKI, PubMed, DrugBank, BingingDB, and ZINC databases. HCM-related targets were retrieved from GEO datasets combined with GeneCards, OMIM, PharmGKB, and DisGeNET databases. A Protein-protein Interaction (PPI) network was built to screen the core targets. DAVID was used for GO and KEGG pathway enrichment analyses. The tissue and organ distribution of targets was evaluated. Interactions between potential targets and active compounds were assessed by molecular docking. A molecular dynamics simulation was conducted for the optimal core protein-compound complexes obtained by molecular docking.
ResultsIn total, 265 active targets of NMN and 3918 potential targets of HCM were identified. A topological analysis of the PPI network revealed 10 core targets. GO and KEGG pathway enrichment analyses indicated that the effects of NMN were mediated by genes related to inflammation, apoptosis, and oxidative stress, as well as the FOXO and PI3K-Akt signaling pathways. Molecular docking and molecular dynamics simulations revealed good binding ability between the active compounds and screened targets.
ConclusionThe possible targets and pathways of NMN in the treatment of HCM have been successfully predicted by this investigation. It provides a novel approach for further investigation into the molecular processes of NMN in HCM treatment.
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Volumes & issues
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Volume 31 (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)