Current topics in medicinal chemistry最新文献

Introduction: Cancer is a leading cause of death worldwide, driving the urgent need for new and effective treatments. Benzimidazole and pyrazole derivatives have gained attention for their potential as anticancer agents due to their diverse biological activities. The development of resistance in cancer cells, toxicity concerns, and inconsistent efficacy across different types of cancer are a few of the challenges. To overcome these challenges, optimisation of these nuclei using the structure-activity relationships is necessary.

Objective: This review aimed to examine various benzimidazole, pyrazole, and their hybrid derivatives by focusing on their structure-activity relationships (SAR) as anticancer agents. Results of the most potent and least potent benzimidazole, pyrazole compounds, and their hybrid derivatives published by researchers were compiled.

Method: The findings of different researchers working on benzimidazole and pyrazole nuclei were reviewed and analysed for different targets and cell lines. Moreover, substitutions on different positions of pyrazole, benzimidazole, and their hybrid were summarised to derive an optimised pharmacophore.

Result: Based on our analysis of existing studies, we anticipate that this review will guide researchers in creating potent pyrazole, benzimidazole, and hybrid derivatives crucial for combating cancer effectively.

Conclusion: Structure-Activity Relationship (SAR) studies can help in developing pyrazolebenzimidazole hybrids that are more powerful and selective in targeting specific aspects of cancer.

Amperometric biosensors have emerged as a cutting-edge technology in clinical diagnostics, thanks to their high level of sensitivity, rapid analytical results, compact size, and ability to monitor health parameters non-invasively and continuously using flexible and wearable sensors. This review explores the latest developments in the field of amperometric biosensing for medical applications. It discusses the materials used to construct these sensors and pays particular attention to biosensors designed to measure glucose, lactate, cholesterol, urea, and uric acid levels. The review also addresses the technological limitations and drawbacks of these devices. Furthermore, it presents the current status and identifies future trends in the development of flexible, wearable biosensors capable of providing continuous monitoring of a patient's health status.

Rapid growth in nanotechnology, also known as 21st-century technology, is occurring in response to the increasing diversity of diseases. The development of safe and effective drug delivery methods to enhance bioavailability is of paramount importance. Researchers have focused on creating safe, cost-effective, and environmentally friendly nanoparticle construction processes. Natural polysaccharides, a type of multifaceted polymer with a wide range of applications and advantages, are particularly well suited for nanoparticle formulations, as they can mitigate the adverse consequences of synthetic nanoparticle formulations and promote sustainability. This review summarizes various sources of natural-based polysaccharides and polyacrylamide-based nanomaterials in nanoparticle preparation. Additionally, it discusses the use of natural polysaccharides in formulations beyond nanotechnology, highlighting their importance in green synthesis and different preparation methods.

Background: Epilepsy remains the most common and chronic disorder demanding longterm management. The impact of epilepsy disease is a cause of great concern and has resulted in efforts to develop treatment for epilepsy. It occurs due to an increase in neuronal excitability produced by changes affecting the voltage-dependent properties of Voltage-gated Sodium Channels (VGSCs).

Materials and methods: Weka, a popular suite for machine learning techniques, was used on a dataset comprising 1781 chemical compounds, showing inhibition activity for sodium channel protein IX alpha subunit. After the analysis of the dataset obtained from ChEMBL, molecular fingerprints were computed for the molecules by the ChemDes server. Different classifiers available in the Weka software were explored to find out the algorithm that could be more suitable for the dataset or produce the highest accuracy for the classification of molecules as active or inactive.

Results: In this work, a comprehensive comparison of different classifiers in the Weka suite for the prediction of active, inactive, and intermediate classes of molecules showing inhibition against human NaV1.7 protein was made. The prediction accuracy of these classifiers was assessed based on performance measures, including accuracy, Root Mean Squared Error (RMSE), Receiver Operating Characteristic (ROC), precision, Mathews Correlation Coefficient (MCC), recall, and Fmeasure. The comparison of results for model performance demonstrated that the OneR classifier performed best over others when validated using percentage split, cross-validation, and supplied test methods. J48 and Bagging also performed equally well in the prediction of different classes with an MCC value of 1, ROC area equal to 1, and RMSE close to 0.

Conclusion: Machine Learning (ML) tools provide a fast, reliable, and cost-effective approach required to identify or predict inhibitory molecules for the treatment of a disease. This study shows that the ML methods, particularly OneR, J48, and Bagging have the ability to identify active and inactive classes of compounds for the human NaV1.7 protein target. Such predictive models may provide a reliable and time-saving approach that can aid in the design of potential inhibitors for the treatment of epilepsy disease.

The search for effective cancer therapies highlights saponins, natural plant-derived compounds, as promising anticancer agents. These compounds induce apoptosis in cancer cells by activating caspases, essential enzymes for cell death. For example, Soyasapogenol B from Glycine max and Astragaloside IV from Astragalus membranaceus effectively trigger apoptosis in cancer cells. Additionally, saponins, such as Compound K from American ginseng and Saikosaponin from Bupleurum falcatum, affect extrinsic and intrinsic pathways, including mitochondrial release of cytochrome C and activation of caspase-9. Ziyuglycoside II also acts on both pathways and activates the ROS/JNK pathway. Understanding these mechanisms provides promising prospects for developing more specific and safer anticancer therapies. The review utilized the ScienceDirect, PubMed, and Google Scholar databases. It was found that original articles and reviews from journals indexed in these sources emphasized the antitumor capabilities of saponins and discussed their role in apoptosis induction and caspase activation. The activation of caspases by saponins in the apoptotic pathway involves two main pathways: the extrinsic pathway is initiated by external signals that activate caspase-8, while the intrinsic pathway starts with internal stimuli, causing the release of cytochrome c and the activation of caspase-9. These pathways both lead to the activation of effector caspases (caspases 3, 6, and 7), culminating in apoptosis, an essential process for maintaining cellular balance and eliminating damaged cells. Identifying saponins in the context of cancer and their mechanisms of action is an ever-evolving field. Future research may lead to more targeted and personalized therapies, highlighting the collaboration between basic and clinical research in this promising area of medicine.

Cancer is a multifaceted disease with high mortality rates, and current treatments face challenges such as chemoresistance and tumor adaptation. Since Virchow reported the first case of cancer-related chronic inflammation, numerous clinical and epidemiological studies have indicated that around 15-20% of malignant tumors are caused by inflammation. Cyclooxygenase-2 (COX-2), which is the key enzyme in inflammation, has been implicated in tumorigenesis through various mechanisms, including promoting angiogenesis, inhibiting apoptosis, and enhancing the invasiveness of cancer cells. Moreover, COX inhibitors have demonstrated a substantial reduction in death rates associated with esophageal and colon cancer. In this context, targeting COX-2 is an effective strategy for cancer prevention and treatment. This review focuses on the analysis of studies conducted between 2014 and 2024, which evaluate the structure-activity relationship of molecules intended to exhibit cytotoxic activity through COX inhibition. The studies followed both classical and non-classical COX-2 selective drug design strategies. While some focused on the classical approach, utilizing diaryl heterocyclic structures, others explored non-classical designs with a cyclic central scaffold and a linear core. Additionally, several manuscripts employed well-known COX inhibitors, including licofelone, indomethacin, naproxen, tolfenamate, celecoxib, flumizole, and ketoprofen, as starting points for further derivatization and optimization. Cytotoxic activity was evaluated using various cell lines, including MCF- 7, HCT-116, and A549, through assays such as MTT, CellTiter, and MTS. Additionally, studies examined the relationship between COX-2 inhibition and key cancer pathways, including apoptosis and the involvement of enzymes like HDAC, EGFR, and topoisomerase. The majority of studies reported promising cytotoxic activity in COX-2 selective inhibitors. Compounds synthesized with diphenyl heterocyclic scaffolds exhibited enhanced COX-2 selectivity and anticancer efficacy. In particular, derivatives in studies 9, 16, and 24 demonstrated significant activity comparable to standard drugs like celecoxib and doxorubicin. However, only a few studies indicated a weak correlation between COX-2 inhibition and cytotoxicity, suggesting the need for further investigation into other cancer-related mechanisms. This review highlights the potential of COX-2 selective inhibitors in anticancer drug development. The findings support the development of selective COX-2 inhibitors with diverse chemical structures as a promising strategy for cancer therapy.

Introduction: Ginseng, a perennial herb belonging to the Araliaceae family, is renowned for its traditional and folk uses. The Panax ginseng C.A. Meyer species is predominantly found in Asian countries, including Japan, China, and Korea.

Materials and methods: This manuscript offers valuable insights into the cultivation, collection, morphology, phytochemistry, pharmacological properties, and clinical studies of Ginseng. The data was meticulously gathered from diverse electronic resources, such as PubMed, Scopus, Science Direct, and Web of Science, spanning from 1963 to 2023.

Results: Ginseng contains various bioactive components, including carbohydrates, polyacetylenic alcohols, polysaccharides, ginsenosides, peptides, vitamins, and fatty acids. The biological attributes of ginsenosides, which include anti-diabetic, anti-cancer, anti-oxidant, and anti-inflammatory activities, render them especially remarkable.

Conclusion: This manuscript comprehensively explores the versatile therapeutic applications of ginseng in the treatment of various types of cancers.

Objectives: This systematic review was conducted to evaluate the applicability of the envelope (E) protein in the diagnosis of arboviruses.

Methods: This review was performed in accordance with the PRISMA statement. Five databases were explored (PubMed, Web of Science, Scopus, EMBASE, and IEDB). The inclusion and exclusion criteria were applied to study eligibility. After data extraction, the risk of bias and evidence certainty were evaluated according to QUADAS and GRADE assessments, respectively.

Results: Eleven studies were included. A total of 11 studies were included in the review. ELISA was the most frequently utilized technique, with two studies employing it for antigen detection and nine for antibodies. The E protein was used as a whole protein, heterologous protein, and peptides. The diagnostic metrics were enhanced by optimizations on techniques, such as antibody capture, competitors, and nanosensors. Monoclonal antibodies showed improved specificity, including in coinfected samples. Seven studies demonstrated a minimal risk of bias, and the evidence certainty was considered moderate for dengue diagnosis.

Conclusions: The E protein was successfully employed in different immunological assays with large-scale strategies, enhancing the applicability potential for differential arboviruses' diagnosis. Furthermore, both the antigen design and the implementation of innovative methodologies will have a substantial impact on the quality of the new tests. The PROSPERO protocol related to this work: CRD42021265243.

Introduction: Heterogeneous Acute Myeloid Leukemia (AML) causes substantial worldwide morbidity and death. AML is characterized by excessive proliferation of immature myeloid cells in the bone marrow and impaired apoptotic regulator expression.

Method: B-Cell Lymphoma 2 (BCL-2), an anti-apoptotic protein overexpressed in AML, promotes leukemic cell survival and chemoresistance. Thus, reducing BCL-2 may treat AML. Anticancer activities are found in Aloe barbadensis Miller (Aloe vera). Thus, this work used molecular modeling to assess Aloe vera bioactive chemicals as BCL-2 inhibitors. Molecular docking simulation showed that all identified Aloe vera phytocompounds have strong BCL-2 binding affinities (-6.7 to -8.7 kcal/mol).

Result: Campesterol and α-tocopherol were identified as promising compounds for BCL-2 inhibitor research based on their drug-likeness, pharmacokinetics, and toxicity profiles. The stability and conformational of the BCL-2-compound complexes showed that the compounds were stable in BCL-2's binding pocket.

Conclusion: Campesterol and α-tocopherol are promising BCL-2 inhibitors that might become effective anti-leukemic therapies with additional in vitro and in vivo research.

Cardiovascular disorders develop the highest rates of mortality and morbidity worldwide, emphasizing the need for novel pharmacotherapies. The Chinese medicinal plant S. baicalensis has a number of major active components, one of which is called baicalin. According to emerging research, baicalin reduces chronic inflammation, immunological imbalance, lipid metabolism, apoptosis, and oxidative stress. Baicalin improves endothelial function and protects the cardiovascular system from oxidative stress-induced cell injury by scavenging free radicals and inhibiting xanthine oxidase. Therefore, it helps prevent CVD such as hypertension, atherosclerosis, and cardiac arrest. In this review, the therapeutic effects of baicalein are discussed in relation to both the prevention and management of cardiovascular diseases.