Background and Purpose: Psoriasis is a chronic inflammatory skin disease associated with both innate and adaptive immune responses. The stimulator of interferon genes (STING) protein engages in sensing of cytosolic DNA to initiate dsDNA-driven immune responses. In vitro and in vivo anti-psoriasis effects of STING antagonist H-151 were explored.Experimental Approach: We analysed the gene expression profile of STING and related downstream targets in the skin samples of healthy people and psoriasis patients from the GEO database. Cellular inhibitory activity of H-151 on STING pathway was confirmed via qPCR and western blotting. The preventive effect of topical application of H-151 on imiquimod-induced psoriatic mice was examined through histological, immunohistochemical, immunofluorescent, flow cytometric analysis, ELISA Kits and other approaches. Preliminary mechanistic studies were also performed.Key Results: Gene expressions of STING and its downstream target were upregulated in lesional skin samples from psoriasis patients. Topical administration of H-151 attenuated the skin lesions in imiquimod-induced psoriatic mouse model, while the secretion of pro-inflammatory cytokines (IL-17, IL-23 and IL-6), infiltration of M1 macrophages and differentiation of Th17 cells were significantly suppressed by H-151 treatment. Mechanistically, H-151 inhibited STING/NF-κB signalling in both keratinocytes and immune cells. Conclusion andImplications: H-151 displayed anti-inflammatory activity in both keratinocytes and immune cells, and decreased the severity of psoriatic response in vivo. Inhibition of STING signalling pathway may represent a novel therapeutic approach to psoriasis and related complications.

Drug development based on target proteins has been a successful approach in recent decades. However, the conventional structure-based drug design (SBDD) pipeline is a complex, human-engineered process with multiple independently optimized steps. Here, we propose a sequence-to-drug concept for computational drug design based on protein sequence information by end-to-end differentiable learning. We validate this concept in three stages. First, we design TransformerCPI2.0 as a core tool for the concept, which demonstrates generalization ability across proteins and compounds. Second, we interpret the binding knowledge that TransformerCPI2.0 learned. Finally, we use TransformerCPI2.0 to discover new hits for challenging drug targets, and identify new target for an existing drug based on an inverse application of the concept. Overall, this proof-of-concept study shows that the sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that do not yet have high-quality 3D structures available.

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The use of small agonists to target stimulators of interferon genes (STING) has been demonstrated to be a promising strategy for the treatment of various cancers and infectious diseases. Herein, we discovered a series of 1H-pyrrole-3-carbonitrile derivatives as potential STING agonists. On this basis, the structure−activity relationship of this scaffold was studied by introducing various substituents on the aniline ring system. Representative compounds 7F, 7P, and 7R all displayed comparable activities to the reported STING agonist SR-717 in binding various hSTING alleles and induced reporter signal in human THP1 cell lines. Model compound 7F induced phosphorylation of TBK1, IRF3, p65, and STAT3 in a STING-dependent fashion and stimulated the expression of target genes IFNB1, CXCL10, and IL6 in a time-dependent manner in human THP1 cells. Our findings afforded a series of novel STING agonists with promising potential.

A copper-mediated cyclization and dimerization of indole derived oxime acetate was developed to generate a series of biimidazo­[1,2-a]­indole scaffolds with two contiguous stereogenic quaternary carbons in one step.