- Home
- A-Z Publications
- Current Medicinal Chemistry
- Fast Track Listing
Current Medicinal Chemistry - Online First
Description text for Online First listing goes here...
1 - 20 of 47 results
-
-
Pressure Ulcers and Nutrients: From Established Evidence to Gaps in Knowledge
Available online: 04 November 2024More LessPressure ulcers (PUs) are caused by continuous pressure or friction on the skin that damages tissue, especially over bony prominences. A critical factor in the development and progression of PUs is poor nutritional status, which often involves deficiencies in essential nutrients such as proteins, vitamins (A, C, D, E, K, and the B complex), and trace elements (including zinc, selenium, copper, iron, and manganese). These micronutrients are vital for effective wound healing, as they play significant roles in cellular repair, immune function, and tissue regeneration. Laboratory tests for serum albumin, prealbumin, transferrin, retinol-binding protein, and anthropometric measures like height, weight, and body mass index (BMI) are used to evaluate a patient's nutritional status. Screening tools such as the Mini Nutritional Assessment (MNA), Malnutrition Universal Screening Tool (MUST), LPZ questionnaire, and Subjective Global Assessment (SGA) are commonly employed. Emerging evidence from various studies, including in vitro, in vivo, and clinical trials, underscores the importance of personalized nutritional interventions in managing PUs. Unlike generic dietary plans, tailored nutrition that addresses the specific needs of individuals shows greater potential in promoting wound healing and improving clinical outcomes. This synthesis of existing research highlights the critical influence of micronutrients on the healing process of PUs. It suggests that a personalized approach to nutrition, which takes into account individual patient requirements and deficiencies, is likely to be more effective than a one-size-fits-all strategy in the management of these complex wounds.
-
-
-
The Mechanism of Action of Exosomes Derived from Glioblastoma Cells
Authors: Ozal Beylerli, Ilgiz Gareev, Tatiana Ilyasova, Elmar Musaev and Vladimir ChekhoninAvailable online: 04 November 2024More LessGlioblastoma (GBM) is a highly aggressive and lethal brain tumor characterized by rapid growth, invasive behavior, and resistance to conventional therapies, such as surgery, radiotherapy, and chemotherapy. Despite these interventions, patient survival remains poor due to the tumor’s ability to recur and adapt to treatments. The function of GBM-derived exosomes (GBM-exosomes) as essential mediators in tumor growth has drawn attention in recent years. These small extracellular vesicles are involved in the transfer of a variety of molecules, including cytokines, miRNAs, proteins, and DNA, facilitating intercellular communication that promotes GBM cell proliferation, angiogenesis, immune evasion, and resistance to therapies. This review aims to provide an in-depth examination of the mechanisms through which GBM-exosomes contribute to these pathological processes, as well as to discuss the current methodologies for isolating and characterizing GBM exosomes. Additionally, we explore the potential of exosomes as biomarkers for diagnosis and prognosis and as novel therapeutic targets in the fight against GBM. By improving our understanding of GBM-exosomes, we can pave the way for the development of more effective, personalized treatment strategies that may improve patient outcomes and quality of life.
-
-
-
Design, Synthesis, and Antitumor Potential of New Thiazole-contained 5-Fluoro-2-Oxindole Derivatives as Sunitinib Analogues
Available online: 04 November 2024More LessBackgroundIndole is considered the most promising scaffold for anticancer drug design due to its high bioavailability, unique chemical properties, and broad spectrum of pharmacological action.
ObjectiveTwelve novel thiazole-containing the 5-fluoro-1,3-dihydro-2H-indol-2-one derivatives as sunitinib analogs were designed and synthesized, and their anticancer activity was evaluated against the NCI-60 cancer cell lines.
MethodThe thiazole-contained 5-fluoro-1,3-dihydro-2H-indol-2-one derivatives were synthesized using Knoevenagel condensation of 1,3-thiazole-5-carboxylic acid 1. Their anticancer activities were evaluated by NCI-60 one-dose screen assay. The molecular docking studies were performed using AutoDock tools and the AutoDock Vina programs. The ADMETlab 2.0 web server predicted the physicochemical properties of compounds.
ResultsAmong the synthesized new 5-fluoro-2-oxindole derivatives, compound 3g demonstrated high antitumor activity (GI>70%) against eight types of cancer: leukemia, breast cancer, ovarian cancer, lung cancer, melanoma, CNS cancer, renal cancer, and colon cancer. The most activity was observed against breast cancer (T-47D, GI=96.17%), lung cancer (HOP-92, GI=95.95%), ovarian cancer (NCI/ADR-RES, GI=95.13%), and CNS cancer (SNB-75, GI=89.91%). The molecular docking results of compound 3g demonstrated the possibility of inhibiting VEGF2 receptors as his potential anticancer mechanism. The physicochemical properties predicted for compounds 3f and 3g showed positive results.
ConclusionCompound 3g demonstrated high in vitro NCI-60 anticancer activity against nine cancer types and showed cell growth inhibition against leukemia, CNS, and breast cancer at 6 - 31% higher than Sunitinib, and may represent the basis for further modification of the thiazole-containing analogs of the anticancer drug Sunitinib.
-
-
-
LNX1-AS2 as a Key Prognostic and Immunotherapy Response Biomarker for Lung Adenocarcinoma
Authors: Xiuxiu Wang, Guanzhong Yan, Xiaoying Zhang, Dongbing Li and Guangyi LiAvailable online: 31 October 2024More LessBackgroundThe role of LNX1 antisense RNA 2 (LNX1-AS2) in lung adenocarcinoma (LUAD) remains unclear.
ObjectiveThis study aimed to investigate the association between LNX1-AS2 and LUAD by employing bioinformatics analysis and experimental validation.
MethodsStatistical analysis and database interrogation were utilized to assess correlations among LNX1-AS2 expression, clinical characteristics of LUAD patients, prognostic factors, regulatory networks, and immune infiltration. LNX1-AS2 expression in LUAD cell lines was quantified using quantitative real-time polymerase chain reaction (qRT-PCR).
ResultsThe study found significantly elevated levels of LNX1-AS2 expression in patients with LUAD. Furthermore, elevated LNX1-AS2 expression in LUAD patients did not significantly correlate with gender (p = 0.041) or race (p = 0.049). Importantly, high LNX1-AS2 expression levels were associated with poorer overall survival (OS, p = 0.042) and disease-specific survival (DSS, p = 0.040) in LUAD patients. Additionally, high LNX1-AS2 expression (p = 0.015) was independently correlated with OS in LUAD patients. The phenotype characterized by high LNX1-AS2 expression was also found to be enriched for asthma, allograft rejection, drug metabolism cytochrome P450, metabolism of xenobiotics by cytochrome P450, olfactory transduction, renin-angiotensin system, retinol metabolism, pentose and glucuronate interconversions, and porphyrin and chlorophyll metabolism. A significant correlation was identified between the expression levels of LNX1-AS2 and immune infiltration in the context of LUAD. Elevated expression of LNX1-AS2 was notably detected in LUAD cell lines as opposed to Beas-2B.
ConclusionA noteworthy relationship was established among increased LNX1-AS2 expression in LUAD patients, unfavorable prognosis, and heightened immune infiltration. These findings suggest that the LNX1-AS2 gene could serve as a valuable prognostic indicator for LUAD and a potential predictor of response to immunotherapy.
-
-
-
TLR2 Activation as a Marker of Severe COVID-19 and a Potential Therapeutic Target
Authors: Xianxian Mao, Yijia Wu, Xinyi Zhang, Tian Zhou, Houda Huang, Mingui Fu and Yisong QianAvailable online: 31 October 2024More LessSARS-CoV-2-induced COVID-19 has been a serious public health problem, resulting in millions of lives lost over the previous three years. Although the direct infection caused by virus invasion is important for the pathobiology of COVID-19, the hyperinflammatory response and tissue injury are major contributors in critically ill patients. As a host sensor, toll-like receptor 2 (TLR2) recognizes multiple pathogen-associated molecular patterns (PAMPs) or damage-associated molecular patterns (DAMPs), producing various inflammatory cytokines and inflammatory cell death signals, which are central to the inflammatory pathology observed in COVID-19. The objectives of this narrative review are to summarize the role of TLR2 activation during SARS-CoV-2 infection and emphasize the importance of SARS-CoV-2 viral proteins in TLR2 activation. Additionally, we presented some compounds related to TLR2 regulation clinically or experimentally, which may provide new insights into targets for pharmaceutical discovery and development.
-
-
-
Exosomal Delivery of miR-155 Inhibitor can Suppress Migration, Invasion, and Angiogenesis Via PTEN and DUSP14 in Triple-negative Breast Cancer
Available online: 31 October 2024More LessIntroductionTriple-Negative Breast Cancer (TNBC) is the most common type of breast cancer (BC). In order to develop effective treatments for TNBC, it is vital to identify potential therapeutic targets. Angiogenesis stimulates tumor growth and metastasis in TNBC, and miR-155 plays a crucial role in this process. The exosome is a nano-sized vesicle that carries many cargoes, including miRNAs. The present study investigated the effect of exosomal delivery of miR-155 antagomir on tumor migration, invasion, and angiogenesis in TNBC.
Materials and methodsFrom MDA-MB-231 cells, exosomes were extracted, characterized, and loaded with miR-155 antagomir using electroporation. The expression of miR-155 and its target genes, including PTEN and DUSP14, was analyzed using RT-qPCR. The wound-healing and transwell assays were used to measure cell migration and invasion. Furthermore, angiogenesis was evaluated by tube formation and chorioallantoic membrane (CAM) assays.
ResultsThe results indicated that exosomal delivery of miR-155 antagomir to HUVEC cells significantly suppressed miR-155 expression while upregulating PTEN and DUSP14. The tube formation properties of HUVEC cells were also significantly reduced following treatment with exosomes containing miR-155 antagomirs, and these results were confirmed using CAM assay. The migration and invasion of MDA-MB-231 cells were significantly reduced after treatment with miR-155 antagomir-loaded exosomes.
ConclusionIt was found that miR-155 antagomir delivery using exosomes can inhibit migration, invasion, and angiogenesis viaPTEN and DUSP14 in TNBC.
-
-
-
Elucidating the Mechanisms of Astragalus Membranaceus in Colorectal Cancer Patients through Bioinformatics Analysis
Authors: Shuwei Wang, Jiandong Tang, Gan Li and Songbing HeAvailable online: 31 October 2024More LessBackgroundAstragalus membranaceus has shown positive clinical efficacy in treating colorectal cancer (CRC).
ObjectiveThis study aimed to identify the key active components of Astragalus and determine effective targets of these components in CRC patients.
MethodsWe identified active components of Astragalus membranaceus and differentially expressed genes in traditional Chinese medicine systems pharmacology database and The Cancer Genome Atlas. Additionally, the enrichment analysis of differential target genes (DTGs) was performed using the R-package clusterProfiler. Immunocyte correlation analysis and non-coding regulatory network construction were performed for biomarkers using Spearman’s method and NetworkAnalyst. Finally, molecular docking of biomarkers and their corresponding molecule drugs was done with Autodock Vina software.
ResultsWe identified 20 active components of Astragalus membranaceus and 1 403 target genes through screening. A total of 2 300 differentially expressed genes, and 3 035 hub genes in CRC were screened. The integration of the target genes with the significantly differentially expressed genes and Hub genes identified resulted in a total of 86 DTGs. Subsequently, the results showed 828 enriched GO biological processes, 184 enriched GO molecular functions, 59 enriched GO cellular components, and 46 enriched KEGG pathways. We also obtained a total of 143 PPI pairs involving 67 nodes. Additionally, we constructed 45 mRNA-TF pairs, 101 miRNA-mRNA pairs, and 200 miRNA-mRNA-TF triplets. Finally, molecular docking was performed for the active component quercetin with F2 and UGT1A1 and formic acid with FGA, AHSG, and KNG1.
ConclusionThis study identified the active components of Astragalus membranaceus and their corresponding targets in CRC. These findings provide robust evidence for precision drug therapy in patients with CRC.
-
-
-
Developing Generalizable Scoring Functions for Molecular Docking: Challenges and Perspectives
Authors: Rodrigo Quiroga and Marcos VillarrealAvailable online: 30 October 2024More LessStructure-based drug discovery methods, such as molecular docking and virtual screening, have become invaluable tools in developing novel drugs. At the core of these methods are Scoring Functions (SFs), which predict the binding affinity between ligands and protein targets. This study aims to review and contextualize the challenges and best practices in training novel scoring functions to improve their accuracy and generalizability in predicting protein-ligand binding affinities. Effective training of scoring functions requires careful attention to the quality of training data and methodologies. We emphasize the need for robust training strategies to produce consistent and generalizable SFs. Key considerations include addressing hidden biases and overfitting in machine-learning models, as well as ensuring the use of high-quality, unbiased datasets for both training and evaluation of SFs. Innovative hybrid methods, combining the advantages of empirical and machine-learning approaches, hold promise for outperforming current scoring functions while displaying greater generalizability and versatility.
-
-
-
Commentary on the Obtention of Semi-Synthetic Derivatives from Natural Products for Medicinal Applications: Advances, Challenges, and Perspectives
Authors: Musso Florencia and Biscussi BrunellaAvailable online: 29 October 2024More LessPlants have historically been a primary source of medicines due to their diverse molecular and structural composition. Plant metabolism, comprising primary and secondary processes, produces primary metabolites crucial for growth and secondary metabolites, or natural products (NPs), with specific biological functions. These small molecules are instrumental in pharmacology for their ability to penetrate biological barriers and interact with intracellular targets. The structural complexity and limited availability of NPs have led to research focusing on enhancing their diversity through semi-synthesis. In this commentary, examples of various semisynthetic derivatives of NPs obtained through different synthetic strategies, such as organic semi-synthesis or combinatorial chemistry, are cited. Additionally, the importance of developing hybrid molecules based on the combination of two or more distinct pharmacophores is emphasized. This strategy has been widely implemented to obtain new multitarget drugs applicable to the treatment of multifactorial neurodegenerative diseases, where stimulating the cholinergic system by modulating different therapeutic targets is crucial. However, challenges, such as structural complexity, raw material availability, and the need for precise synthetic methods, persist. Innovations in synthetic routes, sustainable harvesting, and biotechnological advances are critical to overcoming these barriers. The integration of omics technologies, green chemistry principles, and global collaboration is essential to maximize the potential of NPs in drug development, ensuring sustainable and efficient production of new therapeutics.
-
-
-
-
Intermittent Fasting and Fasting-mimicking Diet: Promising Strategies in Cancer Management
Authors: Chuanqiang Zhang, Fengqing Fu, Xingchao Zhu, Xiangyu Ni, Sijia Yue, Hongya Wu and Tongguo ShiAvailable online: 24 October 2024More LessIn the current review, we aim to elucidate the advancements concerning the roles and fundamental mechanisms of intermittent fasting (IF)> and fasting-mimicking diet (FMD)> in cancers. As a dietary intervention,> IF and FMD> potentially impede tumor growth by modulating multiple signaling pathways, such as AKT, Nrf2, and AMPK pathways.> Moreover, IF and FMD have been reported to be associated with the tumor immune response by regulating various immune cells including tumor-associated macrophages (TAMs), monocytic myeloid-derived suppressor cells (MDSCs), T cells, and B cells.> Additionally, IF and FMD can enhance the efficacy and tolerability of therapy, concurrently reducing therapy-induced side effects.> Furthermore, several clinical trials have underscored the safety, feasibility, and positive impact on the quality of life associated with IF and FMD, thereby augmenting the effectiveness of conventional anti-tumor therapies while ameliorating treatment-related side effects. This review provides a comprehensive synthesis of findings and elucidates the underlying mechanisms of IF and FMD in cancer progression and therapy.
-
-
-
Potential Mechanisms of Covid-19 Related Nervous System Damage and Effects on Female Fertility
Authors: Chen-yue Qian, Si-ning Hu, liu huadong and Jing-jin LiuAvailable online: 24 October 2024More LessSigns and symptoms that persist or worsen beyond the “acute COVID-19” stage are referred to as long-COVID. These patients are more likely to suffer from multiple organ failure, readmission, and mortality. According to a recent theory, long-lasting COVID-19 symptoms may be caused by abnormal autonomic nervous system (ANS) activity, such as hypovolemia, brain stem involvement, and autoimmune reactions. Furthermore, COVID-19 can also cause impaired fertility in women, which may also be related to inflammation and immune responses. Currently, few treatments are available for long-COVID symptoms. This article reviews the major effects of COVID-19 on the nervous system and female fertility, as well as offers potential treatment approaches.
-
-
-
Distribution Of Microrna Counts Across Human Chromosomes
Available online: 24 October 2024More LessIntroductionmicroRNAs (miRNAs) are a class of non-coding RNAs that play important roles in gene regulation. miRNAs are transcribed from DNA sequences into primary miRNAs and then processed into precursor miRNAs and mature miRNAs. miRNA gene counts in chromosomes for different species have been studied.
MethodCertain chromosomes have higher numbers of miRNA genes in all species, such as the X chromosome, while the Y chromosome has the fewest or no miRNA genes. miRNA counts in different chromosomes might have a positive correlation with coding gene counts in many species. In this study, a regression model was used to find the relationship between the miRNA count and the coding gene count across human chromosomes, and miRNA counts for 23 human chromosomes were predicted based on this regression model. In addition, the chromosome locations for the miRNA biomarkers of major depression, diabetes, Parkinson’s disease, and COVID-19 are discussed.
ResultsThe results reveal that miRNA biomarkers of these diseases are located in various chromosomes. The dispersion of miRNA locations across different chromosomes might explain the complication of the pathology of these diseases. Moreover, diabetes and COVID-19 have the largest number of miRNA biomarkers from Chromosome X.
ConclusionAs Chromosome X is a sex chromosome, this phenomenon may explain the gender difference in the prevalence or severity of diabetes and COVID-19. The significant gender difference in the prevalence or severity of diabetes and COVID-19 might be due to the regulation function of their miRNA biomarkers from Chromosome X.
-
-
-
Machine Learning-based Macrophage Signature for Predicting Prognosis and Immunotherapy Benefits in Cholangiocarcinoma
Authors: Junkai Huang, Yu Chen, Zhiguo Tan, Yinghui Song, Kang Chen, Sulai Liu, Chuang Peng and Xu ChenAvailable online: 24 October 2024More LessAimsWe aimed to develop a macrophage signature for predicting clinical outcomes and immunotherapy benefits in cholangiocarcinoma.
BackgroundMacrophages are potent immune effector cells that can change phenotype in different environments to exert anti-tumor and anti-tumor functions. The role of macrophages in the prognosis and therapy benefits of cholangiocarcinoma was not fully clarified.
ObjectiveThe objective of this study is to develop a prognostic model for cholangiocarcinoma.
MethodsThe macrophage-related signature (MRS) was developed using 10 machine learning methods with TCGA, GSE89748 and GSE107943 datasets. Several indicators (TIDE score, TMB score and MATH score) and two immunotherapy datasets (IMvigor210 and GSE91061) were used to investigate the performance of MRS in predicting the benefits of immunotherapy.
ResultsThe Lasso + CoxBoost method's MRS was considered a robust and stable model that demonstrated good accuracy in predicting the clinical outcome of patients with cholangiocarcinoma; the AUC of the 2-, 3-, and 4-year ROC curves in the TCGA dataset were 0.965, 0.957, and 1.000. Moreover, MRS acted as an independent risk factor for the clinical outcome of cholangiocarcinoma cases. Cholangiocarcinoma cases with higher MRS scores are correlated with a higher TIDE score, higher tumor escape score, higher MATH score, and lower TMB score. Further analysis suggested high MRS score indicated a higher gene set score correlated with cancer-related hallmarks.
ConclusionWith regard to cholangiocarcinoma, the current study created a machine learning-based MRS that served as an indication for forecasting the prognosis and therapeutic advantages of individual cases.
-
-
-
Unraveling the Ferroptosis-inducing Potential of Methanol Leaves Extract of Prosopis Juliflora Via Downregulation of SLC7A11 and GPX4 mRNA Expression in A549 Lung Cancer Cells
Available online: 24 October 2024More LessIntroductionProsopis juliflora has been employed in many traditional treatments. As evidenced by our earlier research, Prosopis juliflora leaf methanol extract (PJME) has a promising future in the fight against lung cancer. It may also be used in conjunction with other treatments to effectively manage lung cancer. Aims and objective: The main objective of this study was to explore the potential of PJME to inhibit lung cancer in A549 cells, along with its underlying mechanisms of action.
MethodThe antiproliferative effects were determined using MTT and LDH tests. Apoptosis-inducing capacity was evaluated using the DAPI staining, caspase-3 test, cytochrome C assay, PARP cleavage, and qRT-PCR. To investigate the mechanism of action of PJME in lung cancer, the levels of ROS, MMP, GSH, MDA, and specific ferroptosis indicators were measured.
ResultsThe experimental data of the current study indicated that exposure of A549 cells to PJME reduced cell viability and increased cellular cytotoxicity. The apoptosis-inducing ability of PJME in A549 cells was validated by enhanced nuclear condensation, level of the caspase-3, cytochrome C, and PARP release. In addition, qRT-PCR investigations verified that the administration of PJME led to a decrease in the expression of anti-apoptotic gene Bcl2 while enhancing the mRNA level of pro-apoptotic genes, such as Bax and caspase-3, in A549 cells.
ConclusionThe study also found that PJME has the ability to activate ferroptosis pathways, as evidenced by elevated reactive oxygen species (ROS) generation, changes in the levels of antioxidant markers (MDA and GSH), and decreased expression of SLC7A11 and GPX4. The results of the present study clearly showed that PJME inhibited the proliferation of A549 cells and induced ferroptosis by reducing the expression of the important targets SLC7A11 and GPX4. Further research is necessary to fully understand the clinical efficacy of PJME before it can be investigated as supplemental or adjuvant therapy for lung cancer.
-
-
-
Multiple Machine Learning Models, Molecular Subtyping and Single- cell Analysis Identify PANoptosis-related Core Genes and their Association with Subtypes in Crohn’s Disease
Authors: Yi Chen, Lu Zhang, Wan-Ying Huang, Rong-Quan He, Zhi-Guang Huang, Hui Li, Rui Song, Jia-Wei Zhang, Juan He and Gang ChenAvailable online: 21 October 2024More LessBackgroundPANoptosis plays an important role in many inflammatory diseases. However, there are no reports on the association between PANoptosis and CD.
Materials and MethodsThis study used five machine learning algorithms - least absolute shrinkage and selection operator, support vector machine, random forest, decision tree and Gaussian mixture models - to construct CD’s PANoptosis signature. Unsupervised hierarchical clustering analysis was used to identify PANoptosis-associated subgroups of CD. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were conducted to compare the PANoptosis-associated subgroups of CD among the potential biological mechanisms. Single sample GSEA was used to assess immune microenvironmental differences among the subgroups. The potential role of PANoptosis in CD was further explored using single-cell RNA-Seq (scRNA-Seq) for PANoptosis scoring, differential analysis, pseudotime analysis, cellular communication analysis and weighted gene co-expression network analysis (WGCNA) analysis.
ResultsCD’s PANoptosis signature consisted of seven genes: CEACAM6, CHP2, PIK3R1, CASP10, PSMB1, PSMB8 and UBC. The PANoptosis signature in multiple cohorts had a strong ability to recognise CD. The levels of immune cell infiltration and the vigour of the immune responses significantly varied between the two subpopulations of CD associated with PANoptosis. Multiple lines of evidence from the GO, KEGG, GSEA, GSVA, scRNA-Seq and WGCNA analyses suggested that I-kappaB kinase/NF-kappaB signalling, mitogen-activated protein kinase (MAPK), leukocyte activation and leukocyte migration were mechanisms closely associated with PANoptosis in CD.
ConclusionThis study is the first to construct a PANoptosis signature with excellent efficacy in recognising CD. PANoptosis may mediate the process of CD through inflammatory and immune mechanisms, such as NF- kappaB, MAPK and leukocyte migration.
-
-
-
Neuroprotective Effect of Artemisinin in an Animal Model of Alzheimer’s Disease
Available online: 18 October 2024More LessIntroductionAlzheimer's disease (AD) is the most common neurodegenerative disease in older people, characterized by the accumulation of beta-amyloid (Aβ) plaques and neurofibrillary tangles composed of aggregated of hyperphosphorylated tau protein, which normally helps stabilize microtubules in neurons.
MethodNowadays, artemisinin (ART) as well as its semisynthetic derivatives (ARTs) are seen as potential neuroprotectors. The goal of the present study is the assessment of neuroprotective, antibacterial activity of ART, as well as in silico studies of ART affinity to Aβ-peptides and the search of potential targets for ART. The study is referring to explores the impact of ART on an animal model of AD that is induced by the aggregated amyloidogenic peptide Aβ1-42 by electrophysiology and morphology analysis. Specifically, the focus is on the activation of the entorhinal cortex (ENT) as synaptic potentiation.
ResultElectrophysiological and histochemical have demonstrated that therapeutic injection of ART or its derivatives acts as a neuroprotective This treatment appears to prevent or slow down damage to brain tissue, and it promotes the restoration of neurons and their surrounding environment. The protective effects of ART may involve various mechanisms, including antioxidant activity, anti-inflammatory effects, and the inhibition of apoptosis.
Conclusionin silico studies revealed a direct, strong interaction of ART with the amyloidogenic peptides 5Aβ17-42, 12Aβ9-40, and 18Aβ9-40. in silico screening revealed several protein targets for ART, including cytochrome P-450 2B6 (CYP2B6). The highest binding affinity was found on the active site of CYP2B6. ART has great potential for discovering new drugs using combined therapies.
-
-
-
Focused Insights into Liposomal Nanotherapeutics for Antimicrobial Treatment
Authors: Kiran Jani, Swapnil Mehta, Riya Patel, Bhupendra Prajapati and Gayatri PatelAvailable online: 17 October 2024More LessAddressing infectious conditions presents a formidable challenge, primarily due to the escalating issue of bacterial resistance. This, coupled with limited financial resources and stagnant antibiotic research, compounds the antibiotic crisis. Innovative strategies, including novel antibiotic development and alternative solutions, are crucial to combat microbial resistance. Nanotherapeutics offers a promising approach to enhance drug delivery systems. Integration into lipid-based nanoscale delivery systems, particularly through therapeutic substance encapsulation in liposomal carriers, significantly prolongs drug presence at infection sites. This not only reduces toxicity but also shields antibiotics from degradation. Lipidic carriers, particularly liposomes, exhibit remarkable specificity in targeting infectious cells. This holds great promise in combating antimicrobial resistance and potentially transforming treatment for multi-drug resistant infections. Leveraging liposomal carriers may lead to breakthroughs in addressing drug-resistant bacterial infections. This review emphasizes the potential of antimicrobial-loaded liposomes as a novel delivery system for bacterial infections. Encapsulating antimicrobial agents within liposomes enhances treatment efficiency. Moreover, liposomal systems counteract challenges posed by antimicrobial resistance, offering hope in managing persistent multidrug-resistant infections. In the battle against bacterial resistance and the antibiotics crisis, the use of antimicrobial-loaded liposomes as delivery vehicles shows great promise. This innovative approach not only extends drug effectiveness and reduces toxicity but also provides a path to address highly resistant infectious conditions. As research advances, liposomal nanotherapeutics may emerge as a transformative solution in the fight against bacterial infections.
-
-
-
Structure-Activity Relationship of Substituted Pyrazoline Derivatives as Small Molecule Tyrosine Kinase Inhibitors
Authors: Saleem Akbar, Subham Das, Aman Kumar Mahto, Rikeshwer Prasad Dewangan and Bahar AhmedAvailable online: 17 October 2024More LessBackgroundTyrosine kinase inhibitors (TKIs) target certain cell signalling pathways, and have become a promising class of medications for the treatment of cancer in recent years. Because of their distinct structure and adaptable chemistry, pyrazolines have drawn a lot of interest from organic and medicinal chemists. Their exceptional TKI activity has prompted them to investigate chemotherapy for cancer.
ObjectiveWe aim to develop agents that inhibit tyrosine kinases highly effective with the least amount of harm possible, perhaps improving the course of cancer treatment.
MethodsThis review compiled current information from recent literature sources, including in vitro, in vivo, approved medications, active clinical trials, and the structure-activity relationships (SAR) linked to various pyrazoline analogues used as small-molecule Tyrosine Kinase Inhibitors in cancer treatment.
ResultsThis study focuses on SAR inside the pyrazoline ring and its derivatives as TKIs, and it emphasizes current developments, including patents, authorized medications, and compounds in clinical trials.
ConclusionBy enhancing our understanding of these compounds, our goal is to aid in making the roles of pharmacologists, scientists, and researchers who are designing and developing next-generation anticancer drugs with pyrazoline scaffolds easier. The future holds immense potential for the continued evolution of pyrazoline-based therapies, offering renewed hope in the ongoing battle against cancer.
-
-
-
The Potential of Nanotechnology in Anti-Cancer Drug to Regulate Nrf2 Signaling for Cancer Therapeutic Purposes
Available online: 17 October 2024More LessNuclear factor erythroid 2-related factor 2 (Nrf2) is a regulator of the cellular antioxidant defense system that plays an important role in reducing the risk of various pathophysiological conditions, including cancer. Targeting Nrf2 presents an attractive therapeutic approach to overcome these challenges and improve cancer treatment outcomes. Nanoparticles, with their unique physicochemical properties, offer several advantages over conventional therapies for targeting Nrf2. These include enhanced stability, improved permeability and retention effect, and precise targeting capabilities. Moreover, delivery systems based on nanotechnology have shown promise in overcoming the limitations of conventional cancer therapies, including ineffective precision targeting and momentous complications. The therapeutic efficacy of Nrf2 inhibitors may be enhanced by using nanoparticles for specific drug targeting and deeper tissue penetration. This involves optimizing nanoparticle formulations, understanding their interactions with the biological environment, and ensuring their safety and biocompatibility. Effective nanoparticle formulations are being developed to transport Nrf2 inhibitors, which can significantly improve treatment outcomes and address the limitations of conventional cancer therapies. Further studies are needed to explore the potential of nanotechnology in targeting Nrf2 for cancer therapeutic purposes.
-