Promising strategies in natural products treatments of psoriasis-update.

Psoriasis is a chronic, relapsing, inflammatory skin disease and has been increasing year by year. It is linked to other serious illnesses, such as psoriatic arthritis, cardiometabolic syndrome, and depression, resulting in a notable decrease in the quality of life for patients. Existing therapies merely alleviate symptoms, rather than providing a cure. An in-depth under-standing of the pathogenesis of psoriasis is helpful to discover new therapeutic targets and develop effective novel therapeutic agents, so it has important clinical significance. This article reviews the new progress in the study of pathogenesis and natural products of psoriasis in recent years. These natural products were summarized, mainly classified as terpenoids, polyphenols and alkaloids. However, the translation of experimental results to the clinic takes a long way to go.

Network Pharmacology, Molecular Docking Analysis and Experiment Validations on Molecular Targets and Mechanisms of the Dispel-Scar Ointment in Scar Treatment.

ETHNOPHARMACOLOGICAL RELEVANCE: Dispel-Scar Ointment is used in Traditional Chinese Medicine to treat scarred tissue and increasing evidence has shown that DSO has potent therapeutic; however, its exact mechanism remains unexplored. AIM OF THE STUDY: This study explored the molecular mechanisms of action of DSO in scarring using network pharmacology, molecular docking, and experimental validation. MATERIALS AND METHODS: Public databases were used to predict the bioactive ingredients and putative targets of DSO against scars. A compounds-targets network was constructed using the Cytoscape software. Enrichment analysis was performed using ClueGo and FunRich to specify the biological functions and associated pathways of hub targets. Molecular docking was used to verify the correlation between the major active components and hub targets, visualised using PyMol 2.3. Experimental validations were conducted to elucidate the influence of DSO on keloid fibroblast cells using the CCK-8, wound-scratch, cell reactive oxygen species, and western blot assays. Results：Network pharmacological analysis of DSO for scar treatment identified 146 ingredients and 1078 gene targets. Major targets included, prostaglandin-endoperoxide synthase 2 matrix metallopeptidases, and nitric oxide synthase 2. ClueGo analysis revealed 29 pathways (p<0.05) and FunRich 345 pathways (p<0.05), mainly toll-like receptor, TGF-ß, interleukin-4/13, glypican, and tumour necrosis factor-related apoptosis-inducing ligand pathways. Molecular docking showed MMP2-flavoxanthin, MMP9-luteolin and MMP-9-kaempferol bound best to DSO. DSO could inhibit the proliferation and migration of scar fibroblasts and promote their apoptosis in a concentration-dependent manner. DSO also decreased TGF-ß1, -ßR2, pSMAD2, pSMAD3, SMAD4, CoL1a1, and MMP2 expression. CONCLUSIONS: Network pharmacology, molecular docking, and experimental validation showed DSO's potential in treating scars. It may inhibit scars via the TGF-ß1/SMADs/MMPs signalling pathway, providing a basis for DSO's scar treatment application.

Biological characteristics of molecular subtypes of ulcerative colitis characterized by ferroptosis and neutrophil infiltration.

Clinical ulcerative colitis (UC) is a heterogeneous condition. Moreover, medical interventions are nonspecific, and thus, treatment responses are inconsistent. The aim of this study was to explore the molecular subtypes and biological characteristics of UC based on ferroptosis and neutrophil gene sets. Multiple intestinal mucosa gene expression profiles of UC patients in the Gene Expression Omnibus (GEO) database were downloaded. Unsupervised clustering methods were used to identify potential molecular subtypes based on ferroptosis and neutrophil gene sets. Multiple immune infiltration algorithms were used to evaluate the biological characteristics of the molecular subtypes. Machine learning identifies hub genes for molecular subtypes and analyses their diagnostic efficacy for UC and predictive performance for drug therapy. The relevant conclusions were verified by clinical samples and animal experiments. Four molecular subtypes were identified according to the ferroptosis and neutrophil gene sets: neutrophil, ferroptosis, mixed and quiescent. The subtypes have different biological characteristics and immune infiltration levels. Multiple machine learning methods jointly identified four hub genes (FTH1, AQP9, STEAP3 and STEAP4). Receiver operating characteristic (ROC) curve analysis revealed that the four hub genes could be used as diagnostic markers for UC. The clinical response profile data of infliximab treatment patients showed that AQP9 and STEPA4 were reliable predictors of infliximab treatment response. In human samples the AQP9 and STEAP4 protein were shown to be increased in UC intestinal samples. In animal experiments, the ferroptosis and neutrophil phenotype were confirmed. Dual analysis of ferroptosis and neutrophil gene expression revealed four subgroups of UC patients. The molecular subtype-associated hub genes can be used as diagnostic markers for UC and predict infliximab treatment response.