Combinatorial chemistry & high throughput screening最新文献

Background: The number of atoms producing a bond with an atom a in a molecular structure (graph) is regarded as the valency of a. A number of molecular structures have been topologically characterized via a large number of valency-based topological indices, which correlate certain physio-chemical properties like boiling point, stability, strain energy, and many more chemical compounds.

Objective: Our intention is to perform the topological characterization of primitive coronoid structures initially on the base of seven different valency-based topological indices. Fundamentally, our purpose is to provide the universal formula by using the topological characterization of any primitive coronoid structures with any valency-based topological index.

Method: The technique of atom-bonds partitions according to the valency of atoms besides counting principals are used to find the results.

Results: Exact values of valency-based topological index, namely the Randic index, sum connectivity index, harmonic index, atom bond connectivity index, geometric arithmetic index, forgotten index, and symmetric division index are calculated coronoid structures initially constructed with at most three benzene lyres. All these indices are valency-dependent structural invariants that have been used to elaborate several chemical properties of compounds of the structure.

Conclusion: Moreover, we provide the general formula to compute any valency-based topological index for any type of coronoid structure constructed with any number of benzene lyres.

Background: RA is a recurrent autoimmune disease that has significant adverse effects on the physical and mental health of patients. Traditional Chinese medicine has shown significant advantages in the prevention and treatment of RA. Numerous clinical and experimental studies have confirmed that traditional Chinese medicine components have clear therapeutic effects and minimal adverse reactions in treating RA. The research on traditional Chinese medicine for the prevention and treatment of RA has become a hot topic in the field of autoimmune diseases.

Methods: The related references about the mechanisms and Q-markers of anti-RA of traditional Chinese medicine in this review were collected from Willy, SpringLink, Web of Science, Elsevier, PubMed, SciFinder, Scopus, ACS publications, Baidu Scholar, Google Scholar, and CNKI.

Results: The traditional Chinese medicine components such as terpenoids, flavonoids, and alkaloids have significant anti-RA effects, and their mechanisms are mainly to inhibit NF-κB signaling pathway, inhibit the proliferation of RA fibroblasts like synovial cells, and regulate Th1/Th2 cell balance, and so on. Predicting and studying the Q-markers of traditional Chinese medicine anti-RA by plant phylogeny and chemical componentss, traditional medicinal properties, pharmacokinetics, component measurability, correlation between composition and efficacy, and gut microbiota will provide scientific foundations for the research and further development of anti-RA traditional Chinese medicine.

Conclusions: The active components of traditional Chinese medicine exhibited the characteristic of multiple mechanisms in the treatment of RA, such as terpenoids had anti-angiogenesis effects, flavonoids had anti-inflammatory and cartilage protective effects, and alkaloids had antiinflammatory and analgesic effects. The proposal of Q-markers for anti-RA provided new research ideas for promoting the development of new drugs for anti-RA and ensuring the safety and effectiveness of clinical medications.

Introduction: The concurrent presence of helminthiasis and bacterial diseases imposes a dual burden, worsening the challenges associated with each condition independently. This cohabitation intensifies the economic impact, creating a compounding effect on public health and economic well-being.

Method: Phytochemical analysis of Cassia alata Extract (CAE) using infrared spectroscopy has revealed the presence of various functional groups. In addition, GC mass analysis has confirmed the presence of 26 active compounds. An assessment of the anthelmintic activity of CAE against mature earthworms has demonstrated comparable efficacy to the conventional anthelmintic, albendazole. The optimal dosage of 500 mg/ml has induced a rapid onset of paralysis (2.7 ± 0.5 min) and death (20.1 ± 1.7 min), outperforming albendazole (20 mg/mL) in terms of faster paralysis and death times (21.8 ± 1.1 and 30.14 ± 3.2 min, respectively). Structural modifications induced by CAE have been observed through light microscopy and Scanning Electron Microscopy (SEM). Control worms have exhibited normal body architecture, while CAE-treated worms have displayed size reduction, uniform body wall shrinkage, and increased cuticular thickness. Similar alterations have been observed in albendazole-treated worms.

Results: The antibacterial activity of CAE has been evaluated through a broth dilution assay, which has revealed a dose-response effect. At 6.25 mg/ml, CAE has exhibited 100% inhibitory action against both Gram-positive and Gram-negative bacteria. Significant differences in bacterial viability have been noted at lower concentrations, with no significant variation at 0.3906 mg/ml of CAE.

Conclusion: The findings have highlighted the multifaceted bioactivity of CAE, showcasing its potential as an anthelmintic agent and antimicrobial agent against a spectrum of bacterial strains. The observed structural alterations in treated worms have provided insights into the potential mechanisms underlying the anthelmintic effects.

Background: In graph theory, M polynomials like the matching polynomial are very crucial in examining the matching structures within graphs, while NM polynomials extends this to analyze non-matching edges. These polynomials are important in many fields, including chemistry and network architecture. They support the derivation of topological indices for protein structure analysis, network communication optimization, and drug design in QSAR/QSPR investigations.

Objective: The aim of this paper is to define novel M and NM polynomials for different topological indices and to derive their closed-form expressions, specifically for Y-junction nanotubes. These new polynomials and indices are employed to create a robust QSPR model to predict bond energy in Y-junction nanotubes, that provide high accuracy and reliability in the model's statistical performance.

Method: This paper introduces new forms of M and NM polynomials tailored to specific topological indices related to reverse and neighborhood reverse properties. We derive closed-form expressions for these indices in Y-junction nanotubes. Furthermore, we develop a QSPR model to predict bond energy in Y-junction nanotubes using the newly defined indices.

Result: We define novel M and NM polynomials for various topological indices and derive precise expressions for Y-junction nanotubes. Utilizing these indices, we construct a highly accurate QSPR model (R² = 0.999) for predicting bond energy in Y-junction nanotubes, confirming the validity of our polynomial definitions and indices.

Conclusion: We have presented new M and NM polynomials for different topological indices and derive their expressions specifically for Y-junction nanotubes. With these newly defined indices, we have developed a highly precise QSPR model to predict bond energy, achieving an R² value of 0.999. This work underscores the effectiveness of our polynomial definitions and indices in predicting material properties.

Purpose: This study aimed to study the inhibitory effect of niraparib alone or in combination with GD2 specific antibody on Bladder Cancer (BCa).

Methods: The migration ability of BCa cells was assessed through a scratch assay. CCK-8 assay was performed to evaluate the viability of BCa cells, and Transwell invasion assays were utilized to examine invasive capacity. The expression levels of E-cadherin and vimentin in BCa cells were measured using QRT-PCR.

Results: Western blot showed the EMT level to be the lowest in the niraparib+GD2 group. The transwell invasion assay suggested that the invasion ability of BCa cells was weakened in the niraparib+ GD2 group. CCK8 assay indicated that the proliferation ability of BCa cells was decreased. Scratch test suggested that the migration ability of BCa cells was weakened. PCR result showed that the niraparib + GD2 group had the most significant inhibitory effect on mRNA expression of EMT markers.

Conclusion: Niraparib combined with a GD2-specific antibody exerted a more prominent inhibitory effect on BCa.

Background: Hepatocellular Carcinoma (HCC) is one of the most common malignant tumors in the world, characterized by high incidence, high malignancy, and low survival rate. Currently, 1/4 of adults in the world suffer from Non-Alcoholic Fatty Liver Disease (NAFLD), with an incidence rate of 27% in Asia.

Methods: We used TCGA and GEO public database data sets to conduct weighted gene coexpression network analysis to identify relevant gene modules, defined the intersection of tumorigenesis-related modules and NASH development-related modules as shared genes, and then used single-factor Cox, LASSO, and multivariate Cox regression analysis screened out core shared genes and verified their prognostic value. We further investigated the relationship between core shared genes and immune infiltration, tumor mutational load, and drug sensitivity. Finally, RT-qPCR was used to verify its mRNA expression in different cell lines.

Results: We identified Karyopherin α 2 (KPNA2) as the core shared gene between NASH and HCC. Patients were divided into low-risk groups and high-risk groups based on the expression of KPNA2. The prognosis of the low-risk group was significantly better than that of the highrisk group. Furthermore, we found significant differences in tumor immune cell infiltration, somatic mutations, microsatellite instability, and drug sensitivity between different expression groups.

Conclusion: There are very few studies on the molecular mechanism of the relationship between NAFLD and HCC. Our study demonstrates that KPNA2 is a potential therapeutic target and immune-related biomarker for patients with NAFLD and HCC.

Aim: Psoriasis is an immune-mediated skin disease that occurs worldwide and is characterized by high prevalence and chronicity. Psoriasis has a complex pathogenesis and is difficult to cure. Therefore, continuous exploration of the pathogenesis of psoriasis and the search for new drug treatment methods are crucial for improving treatment efficiency and reducing psychological damage to psoriasis patients. The active ingredients in Dihuang Zicao granules (DHZCG) can effectively treat psoriasis. Therefore, this study aimed to analyze the active ingredients of DHZCG and their potential mechanisms for treating psoriasis.

Methods: The effective components of DHZCG were screened via the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Genetic information for psoriasis was retrieved from the GeneCards, OMIM and DisGENET databases. Protein-Protein Interaction (PPI) analysis was performed, and component‒target‒disease networks were constructed. Important molecular biological processes and signaling pathways were screened via GO and KEGG analyses. Molecular docking of the active ingredients and key targets was performed via AutoDock Vina (1.1.2). A mouse model of psoriasis was established and divided into a control group, model group, low-dose DHZCG group (L-DHZCG), medium-dose DHZCG group (M-DHZCG), and high-dose DHZCG group (H-DHZCG). Hematoxylin and Eosin (HE) staining was performed to determine the pathological changes in the skin of each group of mice, and the Psoriasis Area Severity Index (PASI) score was used to assess skin damage. ELISA and RT‒ PCR were used to measure the levels of the inflammatory factors TNF-a, IL-17A, and IL-23 in the serum and skin tissue of the mice, respectively. Western blotting was used to analyze the expression of proteins related to the AGE/RAGE signaling pathway. Immunofluorescence was used to examine the expression of the inflammatory factor NF-kB. Immunohistochemistry was used to measure IL-1β and TNF-a expression in skin tissues.

Results: Sixty genes associated with psoriasis treatment by DHZCG, including core genes encoding IL-6, TNF-a, AKT1, IL-1β, TP53, NFKB1, BCL2, and MAPK3, were identified. Through the construction of a psoriasis mouse model, DHZCG treatment effectively reduced skin damage and significantly decreased the levels of the validated factors TNF-a, IL-17A, IL- 23, IL-1b, and NF-kB in the serum and damaged skin. Furthermore, the reduction in the levels of these inflammatory factors by DHZCG is associated with the downregulation of the AGE/RAGE signaling pathway.

Conclusion: DHZCG reduces inflammation and alleviates psoriasis by downregulating the AGE/RAGE/NF-kB signaling pathway. This study is beneficial for providing a theoretical basis for the development of drugs for psoriasis and for offering personalized treatment strategies for the clinical management of psoriasis.

Neurodegenerative diseases present significant public health challenges, driving the search for innovative therapeutic strategies. This review explores the neuroprotective potential of furan-containing compounds, which are derived from various natural and synthetic sources. These compounds are observed for their diverse pharmacological activities, including antioxidant and anti-inflammatory properties. By scavenging free radicals and mitigating oxidative stress, they address a key aspect of neurodegeneration. Additionally, furan derivatives modulate inflammatory pathways, potentially reducing neuroinflammation, a critical factor in the progression of these disorders. The review also highlights the impact of these compounds on neuronal survival and regeneration, suggesting their role in promoting neurogenesis and enhancing neuronal plasticity. Their interactions with neurotransmitter systems further support their neuroprotective effects, particularly in maintaining synaptic function and neurotransmission. The potential applications of furan-containing compounds are discussed concerning specific neurodegenerative diseases, such as Alzheimer's and Parkinson's. Insights from preclinical studies and in vitro experiments underscore their therapeutic promise across various experimental models. While still in the early stages of research, the evidence suggests that furan-containing compounds could be valuable in developing effective interventions for neurodegenerative diseases. This review emphasizes the need for further investigation into these compounds to realize their potential as neuroprotective agents fully.

Objective: This study aimed to investigate the potential therapeutic efficacy of rutin in the management of psoriasis and elucidate its underlying molecular mechanisms.

Methods: A systems biology approach, utilizing network pharmacology, was employed to identify and analyze putative targets of rutin relevant to psoriasis. The impact of rutin on the Psoriasis Area and Severity Index (PASI) scores was assessed in an imiquimod (IMQ)-induced murine psoriasis model. Histopathological alterations in the skin lesions were examined using hematoxylin and eosin (H&E) staining. Expression levels of key inflammatory mediators, including Tnf, Hif1a, Ptgs2, Tlr4, Nfkb1, Mtor, and Il2, were quantified using quantitative real-time polymerase chain reaction (qRT-PCR).

Results: A comprehensive analysis revealed 62 potential targets of rutin in the context of psoriasis, with these targets being part of 72 interconnected signaling pathways. In vivo studies demonstrated a significant reduction in PASI scores in rutin-treated mice compared to those in the control group. Additionally, rutin treatment was associated with marked improvements in skin lesions, characterized by reduced crust formation and epidermal thickness. qRT-PCR analysis indicated that rutin administration downregulated the mRNA expression of Tnf, Hif1a, Ptgs2, Tlr4, Nfkb1, Mtor, and Il2 in the lesional skin.

Conclusion: These findings suggest that rutin holds promise as a therapeutic agent for psoriasis, as it effectively ameliorates IMQ-induced psoriasis-like skin inflammation in mice through modulation of multiple signaling pathways and inflammatory mediators.

Background: Astragalus membranaceus (AM) is a traditional Chinese medicine that has been clinically utilized as an adjunctive therapy for the treatment of myocardial ischemia and heart failure; however, its precise molecular mechanism of action remains unknown.

Objective: This study aims to investigate the potential pharmacological effects and molecular mechanism of AM in the treatment of ischemic heart failure (IHF) using network pharmacology methods, molecular docking technology, and in vitro experiments.

Methods: The active components and targets of AM were obtained from the TCMSP databases, while the disease targets of IHF were retrieved from GeneCards and OMIM databases. The analysis of overlapping targets between AM and IHF mainly included active compounds-targets network, PPI network, and GO and KEGG enrichment analysis. The association between active compounds and target proteins was verified through molecular docking. Additionally, an in vitro experimental model was used to evaluate the accuracy of the forecast results.

Results: The network pharmacological analysis revealed that quercetin, kaempferol, 7-Omethylisomucronulatol, formononetin, and isorhamnetin were the core active components of AM in treating IHF. The core targets included AKT1, IL6, IL1B, PTGS2, CASP3, MMP9, and HIF1A. The molecular docking results demonstrated a strong binding affinity between these active components and targets. The KEGG pathway analysis suggested that the PI3K-AKT signaling pathway might play a central role in mediating AM's therapeutic effects on IHF. In vitro experiments demonstrated that AM treatment enhanced cell viability, reduced heart failure biomarkers, and suppressed cell apoptosis. Furthermore, the western blot analyses indicated that AM treatment effectively regulated AKT1 phosphorylation in an experimental model of IHF.

Conclusion: Through integrated network pharmacological analysis, molecular docking technology, and in vitro experimental validation, it was demonstrated that AM can effectively mitigate IHF through activating PI3K-AKT signaling pathway. These findings significantly advance our understanding of the molecular mechanisms in IHF treatment and contribute further to promoting the clinical application of AM.