Chemical Biology & Drug Design最新文献

As a key molecule for improving cardiovascular diseases, Apelin-13 was surveyed in this work to explain its actions in controlling inflammation, pyroptosis, and myocardial hypertrophy. First, mouse models with myocardial hypertrophy were established. Then, assessments were made on the pathological variation in the heart of mouse, on the cardiac functions, as well as on the expressions of cardiac hypertrophy markers (β-MHC, ANP, and BNP), inflammatory factors (TNF-α, COX2, IL-6, ICAM-1, and VCAM-1), myocardial cell pyroptosis markers (NLRP3, ASC, c-caspase-1, and GSDMD-N), and Hippo pathway proteins (p-YAP, YAP, LATS1, and p-LATS1) by HE staining, echocardiography scanning, and western blot tests separately. The expressions of such inflammatory factors as in myocardial tissue were acquired by ELISA. After inducing the phenotype of H9c2 cell hypertrophy by noradrenaline, we used CCK-8 kits to know about the activity of H9c2 cells treated with Apelin-13, and performed ɑ-actinin staining to measure the changes in volumes of such cells. As unraveled through this work, Apelin-13 refrained the activation of the Hippo pathway, which in turn attenuated the hypertrophy, inflammation, and pyroptosis of myocardial tissue and H9c2 cells. Hence, Apelin-13 can be considered as a target for hypertension treatment.

Apitherapy has started to gain tremendous recognition because of extraordinary pharmacological importance of honeybee-related ingredients and their derivatives. There has been a renewed interest in the bee venom–based therapies. Interdisciplinary researchers are studying the chemistry and translational value of venom for effective cancer treatment. Bee venom and its major component, melittin, are cytotoxic in cancer cells. In this study, MTT and scratch assays were performed for analysis of melittin-mediated antimetastatic effects. QPCR was used for expression profiling of metastasis-related genes. Three anti-metastatic genes (BRMS1, DRG1, and KAI1/CD82) were studied for the first time after bee venom and melittin treatment in MDA-MB-231 breast cancer cells compared with normal breast cells, and two prometastatic genes (EGFR and WNT7B) were also examined. KAI1/CD82 and BRMS1 are the negative regulators of EGFR. WNT7B is a negative regulator of KAI1/CD82. Selective cytotoxicity of bee venom and melittin was found to be higher as compared to cisplatin. Melittin induced an increase in the expression of BRMS1 and DRG1, whereas bee venom upregulated DRG1 and KAI1/CD82 expression in breast cancer. WNT7B was downregulated in bee venom–treated breast cancer cells. Results suggested that bee venom/melittin exerted antimetastatic effects primarily through upregulation of BRMS1, DRG1, and KAI1/CD82, and downregulation of WNT7B.

Misfolding and aggregation of TAR DNA-binding protein, TDP-43, is linked to devastating proteinopathies such as ALS. Therefore, targeting TDP-43's aggregation is significant for therapeutics. Recently, green tea polyphenol, EGCG, was observed to promote non-toxic TDP-43 oligomer formation disallowing TDP-43 aggregation. Here, we investigated if the anti-aggregation effect of EGCG is mediated via EGCG's binding to TDP-43. In silico molecular docking and molecular dynamics (MD) simulation suggest a strong binding of EGCG with TDP-43's aggregation-prone C-terminal domain (CTD). Three replicas, each having 800 ns MD simulation of the EGCG-TDP-43-CTD complex, yielded a high negative binding free energy (ΔG) inferring a stable complex formation. Simulation snapshots show that EGCG forms close and long-lasting contacts with TDP-43's Phe-313 and Ala-341 residues, which were previously identified for monomer recruitment in CTD's aggregation. Notably, stable physical interactions between TDP-43 and EGCG were also detected in vitro using TTC staining and isothermal titration calorimetry which revealed a high-affinity binding site of EGCG on TDP-43 (K_d, 7.8 μM; ΔG, −6.9 kcal/mol). Additionally, TDP-43 co-incubated with EGCG was non-cytotoxic when added to HEK293 cells. In summary, EGCG's binding to TDP-43 and blocking of residues important for aggregation can be a possible mechanism of its anti-aggregation effects on TDP-43.

Alzheimer's disease (AD) is a chronic progressive, age-related neurodegenerative brain disorder characterized by the irreversible decline of memory and other cognitive functions. It is one of the major health threat of the 21st century, which affects around 60% of the population over the age of 60 years. The problem of this disease is even more major because the existing pharmacotherapies only provide symptomatic relief without addressing the basic factors of the disease. It is characterized by the extracellular deposition of amyloid β (Aβ) to form senile plaques, and the intracellular hyperphosphorylation of tau to form neurofibrillary tangles (NFTs). Due to the complex pathophysiology of this disease, various hypotheses have been proposed, including the cholinergic, Aβ, tau, oxidative stress, and the metal–ion hypothesis. Among these, the cholinergic and Aβ hypotheses are the primary targets for addressing AD. Therefore, continuous advances have been made in developing potential cholinesterase inhibitors and N-methyl-D-aspartate (NMDA) receptor antagonists to delay disease progression and restore cholinergic neurotransmission. In this review article, we tried to comprehensively summarize the recent advancement in NMDA receptor antagonist (memantine) and their hybrid analogs as potential disease-modifying agents for the treatment of AD. Furthermore, we also depicted the design, rationale, and SAR analysis of the memantine-based hybrids used in the last decade for the treatment of AD.

The higher prevalence of cancer and the unmet need for antioxidant/anti-inflammatory chemotherapeutic compounds with little side effect are of utmost importance. In addition, the increased likelihood of failure in clinical trials along with increasing development costs may have diminished the range of choices among newer drugs for clinical use. This has dictated the necessity to seek out novel medications by repurposing as it needs less time, effort, and resources to explore new uses of a current or unsuccessful medication. In this study, we examined the biological activity of 10 potential quinoline derivatives. Given the half-maximal inhibitory concentration (IC₅₀ value) in lipopolysaccharide (LPS) induced inflammation of RAW264.7 mouse macrophages, all commercial FQs and selected quinolines (quinoline-4-carboxlic and quinoline-3-carboxylic acids) exerted impressively appreciable anti-inflammation affinities versus classical NSAID indomethacin without related cytotoxicities in inflamed macrophages. Conversely, all 14 tested compounds lacked antioxidative DPPH radical scavenging capacities as compared to ascorbic acid. Gemifloxacin, considerably unlike markets FQs, indomethacin and quinoline derivatives, exerted exceptional and differential antiproliferation propensities in colorectum SW480, HCT116, and CACO2, pancreatic PANC1, prostate PC3, mammary T47D, lung A375, and melanoma A549 adherent monolayers using the sulforhodamine B colorimetric method versus antineoplastic cisplatin. All quinoline derivatives and gemifloxacin alike, but not levofloxacin, ciprofloxacin, or indomethacin, displayed substantially selective viability reduction affinities in prolonged tumor incubations of cervical HELA and mammary MCF7 cells. Specifically kynurenic acid (hydrate), quinoline-2-carboxylic acid, quinoline-4-carboxylic acid, quinoline-3-carboxylic acid, and 1,2-dihydro-2-oxo-4-quinoline carboxylic acids possessed the most remarkable growth inhibition capacities against mammary MCF7 cell line, while quinoline-2-carboxylic acid was the only quinoline derivative with significant cytotoxicity on cervical HELA cancer cells. It is highly speculated that chelation with divalent metals via co-planarity with close proximity of the COOH and the N atom could have the potential molecular mechanism for optimally promising repurposed pharmacologies. Conclusively, this study revealed the considerably profound repurposed duality of cytotoxicity and anti-inflammation pharmacologies of quinoline derivatives. Activity-guided structural modifications of the present nuclear scaffolds can be inherently linked to the betterment and enhancement of their repurposed pharmacologies.

Paeoniflorin (PF) is one of the active constituents of the traditional Chinese medicine Paeoniae Radix Rubra and has been actively explored in the pharmaceutical area due to its numerous pharmacological effects. However, severe difficulties such as limited bioavailability and low permeability limit its utilization. Therefore, this study developed and synthesized 25 derivatives of PF, characterized them by ¹H NMR, ¹³C NMR, and HR-MS, and evaluated their antioxidant activity. Firstly, the antioxidant capacity of PF derivatives was investigated through DPPH radical scavenging experiment, ABTS radical scavenging experiment, reducing ability experiment, and O₂^.− radical scavenging experiment. PC12 cells are routinely used to evaluate the antioxidant activity of medicines, therefore we utilize it to establish a cellular model of oxidative stress. Among all derivatives, compound 22 demonstrates high DPPH radical scavenging capacity, ABTS radical scavenging ability, reduction ability, and O₂^.− radical scavenging ability. The results of cell tests reveal that compound 22 has a non-toxic effect on PC12 cells and a protective effect on H₂O₂-induced oxidative stress models. This might be due to the introduction of 2, 5-difluorobenzene sulfonate group in PF, which helps in scavenging free radicals under oxidative stress. Western blot and molecular docking indicated that compound 22 may exert antioxidant activity by activating Nrf2 protein expression. As noted in the study, compound 22 has the potential to be a novel antioxidant.

Breast cancer (BC) is one of the leading causes of high mortality rates in women worldwide. Although advancements have been made in the design of therapeutic strategies and drug discovery, drug resistance remains one of the key challenges. One of the ways to overcome drug resistance is finding potential drug combinations since the efficacy of combined drugs is higher than their individual efficacies if the combination is a synergistic pair. Therefore, the current study uses a BC patient-derived xenograft (PDX) dataset to evaluate the effects of various cancer drugs on breast cancer in vivo models. The drug effects are further validated by four machine learning models, namely Elastic Net, Least Absolute Shrinkage and Selection (LASSO), Support Vector Machine (SVM), Random Forests (RF), as well as exploring the shortlisted drugs in combination with paclitaxel, a baseline drug for enhanced efficacy on tumor volume reduction. Additionally, the study also shortlists the top 50 in vivo biomarkers correlated with the effects of the drugs. The outcomes could be significantly important for the design of an effective anti-breast cancer therapy.