The Specific Mitogen- and Stress-Activated Protein Kinase MSK1 Inhibitor SB-747651A Modulates Chemokine-Induced Neutrophil Recruitment

Design, Synthesis and Biological Evaluation of Arylpyridin-2-yl Guanidine Derivatives and Cyclic Mimetics as Novel MSK1 Inhibitors. An Application in an Asthma Model

Mitogen- and Stress-Activated Kinase 1 (MSK1) is a nuclear kinase, taking part in the activation pathway of the pro-inflammatory transcription factor NF-kB and is demonstrating a therapeutic target potential in inflammatory diseases such as asthma, psoriasis and atherosclerosis. To date, few MSK1 inhibitors were reported. In order to identify new MSK1 inhibitors, a screening of a library of low molecular weight compounds was performed, and the results highlighted the 6-phenylpyridin-2-yl guanidine (compound 1a, IC₅₀~18 µM) as a starting hit for structure-activity relationship study. Derivatives, homologues and rigid mimetics of 1a were designed, and all synthesized compounds were evaluated for their inhibitory activity towards MSK1. Among them, the non-cytotoxic 2-aminobenzimidazole 49d was the most potent at inhibiting significantly: (i) MSK1 activity, (ii) the release of IL-6 in inflammatory conditions in vitro (IC₅₀~2 µM) and (iii) the inflammatory cell recruitment to the airways in a mouse model of asthma.

The alterations of circular RNA expression in plasma exosomes from patients with schizophrenia

Schizophrenia (SZ) is characterized by a high morbidity and disability rate and has gradually increased in rate and caused much burden. However, the pathogenesis of SZ is elusive and may include changes in the biological molecules in exosomes. In this study, we first compared the alterations of plasma exosomal circular RNAs (exo-circRNAs) from SZ patients and matched health controls by high-throughput sequencing. We further explored whether plasma exo-circRNAs can be estimable targets for researching the pathogenesis, potential diagnostic biomarkers, and therapeutic strategy of SZ. A total of 44 plasma exo-circRNAs were differentially expressed between SZ patients and matched Health Controls, including 38 upregulated circRNAs and six downregulated circRNAs (fold change ≥2; p < .05). Eight differentially expressed circRNAs were verified by quantitative real-time polymerase chain reaction, and four out of eight circRNAs were positively confirmed and contained binding sites to many microRNAs. Bioinformatics analysis, including Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis, showed that these differentially expressed circRNAs played potential roles in pathogenesis, especially regarding the metabolic process, stress response, and histone ubiquitination. In conclusion, this study supplies a new window for understanding the pathogenesis of SZ at molecular levels, and serves as a tool for better exploring potential diagnostic biomarkers and the therapeutic strategy for SZ.

Deciphering the multicomponent synergy mechanisms of SiNiSan prescription on irritable bowel syndrome using a bioinformatics/network topology based strategy

BACKGROUND

SiNiSan (SNS) is a traditional Chinese medicine (TCM) prescription that has been widely used in the clinical treatment of irritable bowel syndrome (IBS). However, the underlying active substances and molecular mechanisms remain obscure.

PURPOSE

A bioinformatics/topology based strategy was proposed for identification of the drug targets, therapeutic agents and molecular mechanisms of SiNiSan against irritable bowel syndrome.

MATERIALS AND METHODS

In this work, a bioinformatics/network topology based strategy was employed by integrating ADME filtering, text mining, bioinformatics, network topology, Venn analysis and molecular docking to uncover systematically the multicomponent synergy mechanisms. In vivo experimental validation was executed in a Visceral Hypersensitivity (VHS) rat model.

RESULTS

76 protein targets and 109 active components of SNS were identified. Bioinformatics analysis revealed that 116 disease pathways associated with IBS therapy could be classified into the 19 statistically enriched functional sub-groups. The multi-functional co-synergism of SNS against IBS were predicted, including inflammatory reaction regulation, oxidative-stress depression regulation and hormone and immune regulation. The multi-component synergetic effects were also revealed on the herbal combination of SNS. The hub-bottleneck genes of the protein networks including PTGS2, CALM2, NOS2, SLC6A3 and MAOB, MAOA, CREB1 could become potential drug targets and Paeoniflorin, Naringin, Glycyrrhizic acid may be candidate agents. Experimental results showed that the potential mechanisms of SiNiSan treatment involved in the suppression of activation of Dopaminergic synapse and Amphetamine addiction signaling pathways, which are congruent with the prediction by the systematic approach.

CONCLUSION

The integrative investigation based on bioinformatics/network topology strategy may elaborate the multicomponent synergy mechanisms of SNS against IBS and provide the way out to develop new combination medicines for IBS.