Potential Molecular Mechanisms of Jiedutongluo Tiaoying Formula in Treating Hyperthyroidism Based on Network Pharmacology and In Vivo Experiments in Mice.
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引用次数: 0
Abstract
Background: "Jiedutongluo Tiaoying Formula" (JDTLTYF) TCM prescriptions can effectively treat hyperthyroidism and effectively improve the condition of patients. Methods: The main active ingredients of JDTLTYF were collected from the TCMSP database and the target was predicted. Genes related to hyperthyroidism were identified using DisGeNET, GeneCards and OMIM databases. Protein-protein interaction (PPI) network and interaction network of "formula-herb-active ingredient-target genes" was constructed. Mass spectrometry was used to identify the components. The binding of key components to the target was verified by molecular docking and molecular dynamics (MD) simulations. A hyperthyroidism mouse model was established using levothyroxine sodium tablets, and the hormone and expression levels of inflammatory factorswere examined by ELISA and western blot. Results: The key genes of JDTLTYF in the treatment of hyperthyroidism were TNF and AKT1. The results of mass spectrometry also showed that quercetin was one of the main components. The results of molecular docking and MD simulation showed that the binding free energy between AKT1 and quercetin was the lowest and the binding was stable. In vivo experimental results showed that gastric lavage with JDTLTYF could target AKT1 and TNF-α, effectively alleviate the pathological features of hyperthyroidism in mice and reduce inflammation response. Conclusion: This study elucidated the key small molecule compounds and their action targets of JDTLTYF in the treatment of hyperthyroidism. It provides a direction for the development of new drugs for clinical hyperthyroidism.
期刊介绍:
The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.