A series of benzoquinoline-employing heterocycles was synthesized by treating 3-chlorobenzo[f]quinoline-2-carbaldehyde with N-phenyl-3-methylpyrazolone, 4-aminoacetophenone, 1,2-diaminoethane, and 2-cyanoethanohydrazide. Also, pyridine, chromene, α,β-unsaturated nitrile, thiosemicarbazone, and 1,2-bis-aryl hydrazine derivatives were prepared from the cyanoethanohydrazone obtained. The DFT calculations and experiment outcomes were consistent. In vitro screening of their antiproliferative efficacy was examined against HCT116 and MCF7 cancer cell lines. The pyrazolone 2 and cyanoethanohydrazone 5 derivatives exhibited the most potency, which was demonstrated by their molecular docking towards the CDK-5 enzyme. The binding energies of compounds 2 and 5 were - 6.6320 kcal/mol (with RMSD of 0.9477 Å) and - 6.5696 kcal/mol (with RMSD of 1.4889 Å), respectively, which were near to that of co-crystallized ligand (EFP). This implies a notably strong binding affinity towards the CDK-5 enzyme. Thus, pyrazolone derivative 2 would be considered a promising candidate for further optimization to develop new chemotherapeutic agents. In addition, the ADME (absorption, distribution, metabolism, and excretion) analyses displayed its desirable drug-likeness and oral bioavailability properties.

Intestinal absorption of compounds is significant in drug research and development. To evaluate this efficiently, a method combining mathematical modeling and molecular simulation was proposed, from the perspective of molecular structure. Based on the quantitative structure-property relationship study, the model between molecular structure and their apparent permeability coefficients was successfully constructed and verified, predicting intestinal absorption of drugs and interpreting decisive structural factors, such as AlogP98, Hydrogen bond donor and Ellipsoidal volume. The molecules with strong lipophilicity, less hydrogen bond donors and receptors, and small molecular volume are more easily absorbed. Then, the molecular dynamics simulation and molecular docking were utilized to study the mechanism of differences in intestinal absorption of drugs and investigate the role of molecular structure. Results indicated that molecules with strong lipophilicity and small volume interacted with the membrane at a lower energy and were easier to penetrate the membrane. Likewise, they had weaker interaction with P-glycoprotein and were easier to escape from it and harder to export from the body. More in, less out, is the main reason these molecules absorb well.

BACKGROUND: Epilepsy poses a significant global health challenge, particularly in regions with limited financial resources hindering access to treatment. Recent research highlights neuroinflammation, particularly involving cyclooxygenase-2 (COX-2) pathways, as a promising avenue for epilepsy management.
METHODS: This study aimed to develop a Cyclooxygenase-2 inhibitor with potential anticonvulsant properties. A promising drug candidate was identified and chemically linked with phospholipids through docking analyses. The activation of this prodrug was assessed using phospholipase A2 (PLA2)-mediated hydrolysis studies. The conjugate\'s confirmation and cytotoxicity were evaluated using Fourier Transform Infrared Spectroscopy (FT-IR), Differential Scanning Calorimetry (DSC), and Sulphoramide B (SRB) assays.
RESULTS: Docking studies revealed that the Celecoxib-Phospholipid conjugate exhibited a superior affinity for PLA2 compared to other drug-phospholipid conjugates. FT-IR spectroscopy confirmed the successful synthesis of the conjugate, while DSC analysis confirmed its purity and formation. PLA2-mediated hydrolysis experiments demonstrated selective activation of the prodrug depending on PLA2 concentration. SRB experiments indicated dose-dependent cytotoxic effects of Celecoxib, phospholipid non-toxicity, and efficient celecoxib-phospholipid conjugation.
CONCLUSIONS: This study successfully developed a Celecoxib-phospholipid conjugate with potential anticonvulsant properties. The prodrug\'s specific activation and cytotoxicity profile makes it a promising therapeutic candidate. Further investigation into underlying mechanisms and in vivo studies is necessary to assess its translational potential fully.

Investigations into the therapeutic potential of Astragalus Mongholicus (AM, huáng qí) and Largehead Atractylodes (LA, bái zhú) reveal significant efficacy in mitigating the onset and progression of knee osteoarthritis (KOA), albeit with an elusive mechanistic understanding. This study delineates the primary bioactive constituents and their molecular targets within the AM-LA synergy by harnessing the comprehensive Traditional Chinese Medicine (TCM) network databases, including TCMSP, TCMID, and ETCM. Furthermore, an analysis of 3 gene expression datasets, sourced from the gene expression omnibus database, facilitated the identification of differential genes associated with KOA. Integrating these findings with data from 5 predominant databases yielded a refined list of KOA-associated targets, which were subsequently aligned with the gene signatures corresponding to AM and LA treatment. Through this alignment, specific molecular targets pertinent to the AM-LA therapeutic axis were elucidated. The construction of a protein-protein interaction network, leveraging the shared genetic markers between KOA pathology and AM-LA intervention, enabled the identification of pivotal molecular targets via the topological analysis facilitated by CytoNCA plugins. Subsequent GO and KEGG enrichment analyses fostered the development of a holistic herbal-ingredient-target network and a core target-signal pathway network. Molecular docking techniques were employed to validate the interaction between 5 central molecular targets and their corresponding active compounds within the AM-LA complex. Our findings suggest that the AM-LA combination modulates key biological processes, including cellular activity, reactive oxygen species modification, metabolic regulation, and the activation of systemic immunity. By either augmenting or attenuating crucial signaling pathways, such as MAPK, calcium, and PI3K/AKT pathways, the AM-LA dyad orchestrates a comprehensive regulatory effect on immune-inflammatory responses, cellular proliferation, differentiation, apoptosis, and antioxidant defenses, offering a novel therapeutic avenue for KOA management. This study, underpinned by gene expression omnibus gene chip analyses and network pharmacology, advances our understanding of the molecular underpinnings governing the inhibitory effects of AM and LA on KOA progression, laying the groundwork for future explorations into the active components and mechanistic pathways of TCM in KOA treatment.

BACKGROUND: Salidroside (SAL), the main component of Rhodiola rosea extract, is a flavonoid with biological activities, such as antioxidative stress, anti-inflammatory, and hypolipidemic. In this study, the potential therapeutic targets and mechanisms of SAL against oxidative stress in retinal ganglion cells (RGCs) were investigated on the basis of in-vitro experiments, network pharmacology, and molecular docking techniques.
METHODS: RGC oxidative stress models were constructed, and cell activity, reactive oxygen species (ROS), and apoptosis levels were examined for differences. The genes corresponding to rhodopsin, RGCs, and oxidative stress were screened from GeneCards, TCMSP database, and an analysis platform. The intersection of the three was taken, and a Venn diagram was drawn. Protein interactions, GO functional enrichment, and KEGG pathway enrichment data were analyzed by STRING database, Cytohubba plugin, and Metascape database. The key factors in the screening pathway were validated using qRT-PCR. Finally, molecular docking prediction was performed using MOE 2019 software, molecular dynamic simulations was performed using Gromacs 2018 software.
RESULTS: In the RGC oxidative stress model in vitro, the cell activity was enhanced, ROS was reduced, and apoptosis was decreased after SAL treatment. A total of 16 potential targets of oxidative stress in SAL RGCs were obtained, and the top 10 core targets were screened by network topology analysis. GO analysis showed that SAL retinal oxidative stress treatment mainly involved cellular response to stress, transcriptional regulatory complexes, and DNA-binding transcription factor binding. KEGG analysis showed that most genes were mainly enriched in multiple cancer pathways and signaling pathways in diabetic complications, nonalcoholic fatty liver, and lipid and atherosclerosis. Validation by PCR, molecular docking and molecular dynamic simulations revealed that SAL may attenuate oxidative stress and reduce apoptosis in RGCs by regulating SIRT1, NRF2, and NOS3.
CONCLUSIONS: This study initially revealed the antioxidant therapeutic effects and molecular mechanisms of SAL on RGCs, providing a theoretical basis for subsequent studies.

BACKGROUND: Patients with non-small cell lung cancer (NSCLC) are susceptible to coronavirus disease-2019 (COVID-19), but current treatments are limited. Icariside II (IS), a flavonoid compound derived from the plant epimedin, showed anti-cancer,anti-inflammation and immunoregulation effects. The present study aimed to evaluate the possible effect and underlying mechanisms of IS on NSCLC patients with COVID-19 (NSCLC/COVID-19).
METHODS: NSCLC/COVID-19 targets were defined as the common targets of NSCLC (collected from The Cancer Genome Atlas database) and COVID-19 targets (collected from disease database of Genecards, OMIM, and NCBI). The correlations of NSCLC/COVID-19 targets and survival rates in patients with NSCLC were analyzed using the survival R package. Prognostic analyses were performed using univariate and multivariate Cox proportional hazards regression models. Furthermore, the targets in IS treatment of NSCLC/COVID-19 were defined as the overlapping targets of IS (predicted from drug database of TMSCP, HERBs, SwissTarget Prediction) and NSCLC/COVID-19 targets. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of these treatment targets were performed aiming to understand the biological process, cellular component, molecular function and signaling pathway. The hub targets were analyzed by a protein-protein interaction network and the binding capacity with IS was characterized by molecular docking.
RESULTS: The hub targets for IS in the treatment of NSCLC/COVID-19 includes F2, SELE, MMP1, MMP2, AGTR1 and AGTR2, and the molecular docking results showed that the above target proteins had a good binding degree to IS. Network pharmacology showed that IS might affect the leucocytes migration, inflammation response and active oxygen species metabolic process, as well as regulate the interleukin-17, tumor necrosus factor and hypoxia-inducible factor-1 signaling pathway in NSCLC/COVID-19.
CONCLUSIONS: IS may enhance the therapeutic efficacy of current clinical anti-inflammatory and anti-cancer therapy to benefit patients with NSCLC combined with COVID-19.

Objective: To investigate the molecular mechanisms of chronic rhinosinusitis (CRS), to identify key cell subgroups and genes, to construct effective diagnostic models, and to screen for potential therapeutic drugs. Methods: Key cell subgroups in CRS were identified through single-cell transcriptomic sequencing data. Essential genes associated with CRS were selected and diagnostic models were constructed by hdWGCNA (high dimensional weighted gene co-expression network analysis) and various machine learning algorithms. Causal inference analysis was performed using Mendelian randomization and colocalization analysis. Potential therapeutic drugs were identified using molecular docking technology, and the results of bioinformatics analysis were validated by immunofluorescence staining. Graphpad Prism, R, Python, and Adobe Illustrator software were used for data and image processing. Results: An increased proportion of basal and suprabasal cells was observed in CRS, especially in eosinophilic CRS with nasal polyps (ECRSwNP), with P=0.001. hdWGCNA revealed that the \"yellow module\" was closely related to basal and suprabasal cells in CRS. Univariate logistic regression and LASSO algorithm selected 13 key genes (CTSC, LAMB3, CYP2S1, TRPV4, ARHGAP21, PTHLH, CDH26, MRPS6, TENM4, FAM110C, NCKAP5, SAMD3, and PTCHD4). Based on these 13 genes, an effective CRS diagnostic model was developed using various machine learning algorithms (AUC=0.958). Mendelian randomization analysis indicated a causal relationship between CTSC and CRS (inverse variance weighted: OR=1.06, P=0.006), and colocalization analysis confirmed shared genetic variants between CTSC and CRS (PPH4/PPH3>2). Molecular docking results showed that acetaminophen binded well with CTSC (binding energy:-5.638 kcal/mol). Immunofluorescence staining experiments indicated an increase in CTSC+cells in CRS. Conclusion: This study integrates various bioinformatics methods to identify key cell types and genes in CRS, constructs an effective diagnostic model, underscores the critical role of the CTSC gene in CRS pathogenesis, and provides new targets for the treatment of CRS.
目的： 旨在深入探索慢性鼻窦炎（CRS）的分子机制，识别关键细胞亚群和基因，构建有效的诊断模型，并筛选潜在的治疗药物。 方法： 通过单细胞转录组测序数据鉴定CRS中的关键细胞亚群。通过高维加权基因共表达网络分析（high dimensional weighted gene co-expression network analysis，hdWGCNA）和多种机器学习算法的联合应用，筛选CRS的关键基因并构建CRS的诊断模型。通过孟德尔随机化和共定位分析进行因果推断分析。使用分子对接技术进行靶点药物的鉴定，并通过免疫荧光染色对生信分析的结果进行验证。采用Graphpad Prism、R、python和Adobe Illustrator软件进行数据及图像处理。 结果： CRS尤其是嗜酸性慢性鼻窦炎伴鼻息肉（ECRSwNP）中基底细胞和基上皮细胞占比增加（P=0.001）。hdWGCNA显示“黄色模块”与CRS中基底细胞和基上皮细胞密切相关。采用单因素逻辑回归和最小绝对值收敛和选择算法（least absolute shrinkage and selection operator，LASSO）筛选出13个关键基因（CTSC、LAMB3、CYP2S1、TRPV4、ARHGAP21、PTHLH、CDH26、MRPS6、TENM4、FAM110C、NCKAP5、SAMD3和PTCHD4）。基于这13个基因，使用多种机器学习算法构建出有效的CRS诊断模型（AUC=0.958）。孟德尔随机化分析显示组织蛋白酶C（cathepsin C，CTSC）与CRS具有因果关系（逆方差加权：OR=1.06，P=0.006），共定位分析证实CTSC与CRS具有共享的遗传变异（PPH4/PPH3>2）。分子对接结果显示，对乙酰氨基酚与CTSC具有较好的结合能力（结合能：-5.638 kcal/mol）。免疫荧光染色实验表明CRS中CTSC+细胞增多。 结论： 本研究综合运用多种生物信息学方法，识别了CRS中的关键细胞类型和基因，构建了有效的诊断模型，强调了CTSC在CRS中的关键作用，为CRS的治疗提供了新的靶点。.

Through molecular recognition, drugs can interact and complex with macromolecules circulating in the body. The serum albumin transport protein, found in several mammals, has several interaction sites where these molecules can be located. The drug sulfasalazine (SSZ) is known in the literature to complex at drug site 1 (DS1) in human serum (HSA) and bovine serum (BSA) proteins. This complexation can be studied using various spectroscopic techniques. With the techniques used in this work, absorption in the ultraviolet and visible regions (UV-Vis) and electronic circular dichroism (ECD), a significant difference was observed in the results involving HSA and BSA. The application of theoretical methodologies, such as TD-DFT and molecular docking, suggests that the conformation that SSZ assumes in DS1 of the two proteins is different, which exposes it to different amino acid residues and different hydrophobicities. This difference in conformation may be related to the location of DS1 where the drug interacts or to the possibility of SSZ moving in the BSA site, due to its larger size, and moving less freely in HSA.

The therapeutic potential of insect-derived bioactive molecules as anti-SARS-CoV-2 agents has shown promising results. Hymenopteran venoms, notably from Apis mellifera (honeybee) and Vespa orientalis (oriental wasp), were examined for the first time in an in vitro setting for their potential anti-COVID-19 activity. This assessment utilized an immunodiagnostic system to detect the SARS-CoV-2 nucleocapsid antigen titer reduction. Further analyses, including cytotoxicity assays, plaque reduction assays, and in silico docking-based screening, were performed to evaluate the efficacy of the most potent venom. Results indicated that bee and wasp venoms contain bioactive molecules with potential therapeutic effects against SARS-CoV-2.Nevertheless, the wasp venom exhibited superior efficacy compared to bee venom, achieving a 90% maximal (EC90) concentration effect of antigen depletion at 0.184 mg/mL, in contrast to 2.23 mg/mL for bee venom. The cytotoxicity of the wasp venom was assessed on Vero E6 cells 48 h post-treatment using the MTT assay. The CC 50 of the cell growth was 0.16617 mg/mL for Vero E6 cells. The plaque reduction assay of wasp venom revealed 50% inhibition (IC50) at a 0.208 mg/mL concentration. The viral count at 50% inhibition was 2.5 × 104 PFU/mL compared to the initial viral count of 5 × 104 PFU/mL. In silico data for the wasp venom revealed a strong attraction to binding sites on the ACE2 protein, indicating ideal interactions. This substantiates the potential of wasp venom as a promising viral inhibitor against SARS-CoV-2, suggesting its consideration as a prospective natural preventive and curative antiviral drug. In conclusion, hymenopteran venoms, particularly wasp venom, hold promise as a source of potential therapeutic biomolecules against SARS-CoV-2. More research and clinical trials are needed to evaluate these results and investigate their potential for translation into innovative antiviral therapies.

The antiviral properties of the flowering aerial extracts of Ruellia tuberosa and Ruellia patula were investigated through phytochemical profiling via LC-MS/MS and HPLC techniques. Qualitative LC-MS/MS analyses identified seventy-seven metabolites from both Ruellia species. R. tuberosa had the highest phenolic content (49.3%), whereas R. patula had the highest flavonoid content (57.8%). Additionally, quantitative HPLC investigations of the compounds identified by LC-MS/MS were performed using the available standard compounds. The main constituents in the R. tuberosa extract was found to be catechin (5321.63 µg/g), gallic acid (2878.71 µg/g), and ellagic acid (2530.79 µg/g), whereas the major compounds in the R. patula extract was found to be rutin (11,074.19 µg/g) and chlorogenic acid (3157.35 µg/g). Furthermore, the antiviral activities of both Ruellia species against HAdV-40, herpes simplex type 2 and H1N1 were evaluated. These findings demonstrated that R. tuberosa was more active than R. patula against all tested viruses, except for the HSV-2 virus, against which R. patula showed greater activity than R. tuberosa, with IC50 values of 20, 65, 22.59, and 13.13 µg/ml for R. tuberosa flowering aerial parts and 32.26, 11.66, and 23.03 µg/ml for R. patula flowering aerial parts, respectively for HAdV-40, herpes simplex type 2, and H1N1. Additionally, computational docking and molecular dynamics simulations were used to assess the molecular interactions between the bioactive compounds and specific viral targets. The combined findings from the in-vitro and in-silico experiments comprehensively evaluated the antiviral activities of both Ruellia species extracts.