Xinyue Li, Yingying Han, Xinghua Liang, Yuan Hu, Guangping Lang
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引用次数: 0
Abstract
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.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
Assay design, development, miniaturization and comparison
High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
Stem cell technologies
Biomarkers
ADMET/PK/PD methodologies and screening
Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
Chemo/bio-informatics, data mining
Compound management
Pharmacognosy
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
Drug repurposing
Data management and statistical analysis
Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
Technology transfer, legal and licensing issues
Patents.