Biolabel‐led research pattern reveals serum profile in rats after treatment with Herba Lysimachiae: Combined analysis of metabonomics and proteomics

Abstract

In traditional Chinese medicine, Herba Lysimachiae (HL) is mainly used to treat rheumatic arthralgia. Current pharmacological studies also showed that HL has therapeutic potential for synovial diseases. HL is an oral drug, whose compounds need to enter the blood circulation before reaching the injured tissue, thus potentially causing activity or toxicity to the blood system. In this study, the biolabel‐led research pattern was used to analyze the serum profile after HL intervention, based on which the safety and efficacy of HL were explored. Metabonomics and proteomics were combined to analyze the biolabels responsible for the interventions of HL in serum. Bioinformatics databases were used to screen for the material basis that may interfere with biolabels. Omics analysis showed that differentially expressed proteins (19) and metabolites (5) were identified and considered as the potential biolabels, which were involved in 8 biochemical processes (platelet activation and aggregation, blood glucose release, immune and inflammatory regulation, oxidative stress, endoplasmic reticulum stress, tumor progression, blood pressure regulation, and uric acid synthesis). Thirty‐one compounds may be the material basis to interfere with 11 biolabels. The present research reveals that the potential activities and toxicities of HL can be explored based on the biolabel‐led research pattern.

Emerging biotechnology applications in natural product and synthetic pharmaceutical analyses

“…Meanwhile, proteomic profiling measures the changes in protein levels and reflects the regulation of gene expression, protein translation, and post-translational protein stability 122 . The toxicities of Herba Lysimachiae (Jinqiancao), which is usually used to treat rheumatic arthralgia, were analyzed by proteomic profiling 123 . With DARTs-based proteomics, the potential toxic target of psoralen, a major hepatotoxic and blood entry component in Fructus Psoraleae, was identified 124 .…”

Combination of omics, bioinformatics, molecular docking, and experimental validation to elucidate the hepatoprotective effects, mechanisms, and active compounds of Shandougen

“…Previous studies have shown that the biolabel‐led research pattern can avoid the limitation of disease models and quickly position the therapeutic potential, mechanism of action, and active compounds of herbs in physiological situations (Li et al, 2020; Li, Li, et al, 2021; Zhang, He, et al, 2021). Metabonomics, proteomics, and bioinformatics belong to systems pharmacology, which can be used to explore the biolabels of herbs (Li et al, 2017; Li et al, 2020; Li et al, 2022; Li, Li, et al, 2021; Zhang et al, 2017; Zhang, He, et al, 2021). In this study, omics, bioinformatics, molecular docking, and experimental validation were used to elucidate the hepatoprotective effects, mechanisms, and active compounds of SDG based on the biolabel‐led research pattern.…”

“…Metabonomics, proteomics, and bioinformatics belong to systems pharmacology, which can be used to explore the biolabels of herbs (Li et al, 2017;Li et al, 2020;Li et al, 2022;Zhang et al, 2017;Zhang, He, et al, 2021). In this study, omics, bioinformatics, molecular docking, and experimental validation were used to elucidate the hepatoprotective effects, mechanisms, and active compounds of SDG based on the biolabel-led research pattern.…”