In Silico, In Vitro, and In Vivo Analysis of Tanshinone IIA and Cryptotanshinone from Salvia miltiorrhiza as Modulators of Cyclooxygenase-2/mPGES-1/Endothelial Prostaglandin EP3 Pathway

Based on UHPLC-Q-TOF-MS and bioinformatics strategies, the potential allergens and mechanisms of allergic reactions caused by Danshen injection were explored

The aim is to investigate the potential allergens and mechanisms underlying allergic-like reactions induced by Danshen injection (DSI). Utilizing ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS), metabolomics, and bioinformatics, we identified the key allergens, targets, and metabolic pathways involved in DSI-induced allergic-like reactions, validating binding efficiency through molecular docking and molecular dynamics. A total of 45 compounds were identified within DSI, with 24 compounds exhibiting strong binding activity to the MrgprX2 activation site. DSI was found to cause changes in 89 endogenous metabolites, including arachidonic acid, prostaglandins, and leukotrienes, primarily affecting pathways such as phenylalanine metabolism and arachidonic acid metabolism. The key allergens identified were Cryptotanshinone, Miltipolone, Neocryptotanshinone, Salvianolic acid B, and Isosalvianolic acid C, which primarily trigger allergic-like reactions by regulating upstream signaling targets such as ALOX5, PTGS1, PPARD, and LTB4R. Validation confirmed the high binding affinity and stability between key allergens and targets. These findings indicate that the allergic components in DSI primarily induce allergic-like reactions by modulating the aforementioned signaling targets, activating the AA metabolic pathway, promoting mast cell degranulation, and releasing downstream endogenous inflammatory mediators, subsequently eliciting allergic-like reactions.

A reverse translational approach reveals the protective roles of Mangifera indica in inflammatory bowel disease

Inflammatory bowel diseases (IBDs) are chronic intestinal disorders often characterized by a dysregulation of T cells, specifically T helper (Th) 1, 17 and T regulatory (Treg) repertoire. Increasing evidence demonstrates that dietary polyphenols from Mangifera indica L. extract (MIE, commonly known as mango) mitigate intestinal inflammation and splenic Th17/Treg ratio. In this study, we aimed to dissect the immunomodulatory and anti-inflammatory properties of MIE using a reverse translational approach, by initially using blood from an adult IBD inception cohort and then investigating the mechanism of action in a preclinical model of T cell-driven colitis. Of clinical relevance, MIE modulates TNF-α and IL-17 levels in LPS spiked sera from IBD patients as an ex vivo model of intestinal barrier breakdown. Preclinically, therapeutic administration of MIE significantly reduced colitis severity, pathogenic T-cell intestinal infiltrate and intestinal pro-inflammatory mediators (IL-6, IL-17A, TNF-α, IL-2, IL-22). Moreover, MIE reversed colitis-induced gut permeability and restored tight junction functionality and intestinal metabolites. Mechanistic insights revealed MIE had direct effects on blood vascular endothelial cells, blocking TNF-α/IFN-γ-induced up-regulation of COX-2 and the DP2 receptors. Collectively, we demonstrate the therapeutic potential of MIE to reverse the immunological perturbance during the onset of colitis and dampen the systemic inflammatory response, paving the way for its clinical use as nutraceutical and/or functional food.

Repositioning of Quinazolinedione-Based Compounds on Soluble Epoxide Hydrolase (sEH) through 3D Structure-Based Pharmacophore Model-Driven Investigation

The development of new bioactive compounds represents one of the main purposes of the drug discovery process. Various tools can be employed to identify new drug candidates against pharmacologically relevant biological targets, and the search for new approaches and methodologies often represents a critical issue. In this context, in silico drug repositioning procedures are required even more in order to re-evaluate compounds that already showed poor biological results against a specific biological target. 3D structure-based pharmacophoric models, usually built for specific targets to accelerate the identification of new promising compounds, can be employed for drug repositioning campaigns as well. In this work, an in-house library of 190 synthesized compounds was re-evaluated using a 3D structure-based pharmacophoric model developed on soluble epoxide hydrolase (sEH). Among the analyzed compounds, a small set of quinazolinedione-based molecules, originally selected from a virtual combinatorial library and showing poor results when preliminarily investigated against heat shock protein 90 (Hsp90), was successfully repositioned against sEH, accounting the related built 3D structure-based pharmacophoric model. The promising results here obtained highlight the reliability of this computational workflow for accelerating the drug discovery/repositioning processes.