The active ingredients analysis of Herba Lysimachiae treating osteoarthritis based on the LC–MS/MS technology and public bioinformatics platforms

Abstract

Herba Lysimachiae inhibits synovial damage in osteoarthritis via regulating two bio labels (integrin alpha 2b/beta 3). However, the relevant active ingredients are still unknown. Here, the active ingredients of herbal medicines were analyzed based on the liquid chromatography-tandem mass spectrometry technology and public bioinformatics platforms. The liquid chromatography-tandem mass spectrometry technology was used for compound analysis, and public databases (PubChem BioAssay and STRING) were applied to establish the links between herbal compounds and both bio labels, and identify which herbal compounds may regulate these bio labels. Subsequently, the osteoarthritis model was used to confirm the results. Totally, ninety compounds in Herba Lysimachiae were identified based on the liquid chromatography-tandem mass spectrometry technology. Bioinformatics analysis showed that five compounds (myricetin, fisetin, esculetin, 7-hydroxycoumarin-4-acetic acid, and caffeic acid) may synergistically regulate bio labels through 11 targets, which may be the active ingredients of Herba Lysimachiae for osteoarthritis treatment. In the verification experiments, five compounds markedly suppressed the overexpression of bio labels in the synovium of the osteoarthritis model. In conclusion, the present study effectively and rapidly analyzed the active ingredients of Herba Lysimachiae for osteoarthritis treatment.

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

“…The extraction of HL with distilled water is described in our previous study (Li et al, 2020), whose yield is 12.65% (w/w). The chromatographic profile of the same batch of aqueous extract is also shown in our previous study (Li, Zhang, et al, 2021) and Figure S1 (Supporting Information). Ninety compounds in HL were identified [Table S1 (Supporting Information)] (Li, Zhang, et al, 2021).…”

Omics combined with network pharmacology reveal the neuroprotective mechanism of Sophora tonkinensis based on the biolabel research pattern: The treatment of Parkinson’s disease against oxidative stress and neuroexcitatory toxicity

“…The biolabel research pattern is a novel strategy to integratively analyze the therapeutic potential, mechanism and material basis of herbal medicines (Li, Li, et al, 2021; Li, Zhang, et al, 2021; Zhang, He, et al, 2021). Biolabels are unique information groups consisting of herbal medicine‐sensitive targets (e.g.…”

“…Biolabels are unique information groups consisting of herbal medicine‐sensitive targets (e.g. endogenous metabolites and proteins), which reflect the holistic effects of herbal medicines on living organisms (Li, Zhang, et al, 2021). In our previous studies (Li, Li, et al, 2021; Li, Zhang, et al, 2021; Zhang, He, et al, 2021), multi‐omics have been used for exploring the biolabels of herbs, based on which their therapeutic potential, mechanism and material basis are topologically analyzed using network pharmacology.…”

“…endogenous metabolites and proteins), which reflect the holistic effects of herbal medicines on living organisms (Li, Zhang, et al, 2021). In our previous studies (Li, Li, et al, 2021; Li, Zhang, et al, 2021; Zhang, He, et al, 2021), multi‐omics have been used for exploring the biolabels of herbs, based on which their therapeutic potential, mechanism and material basis are topologically analyzed using network pharmacology. In the present research, based on the biolabel research pattern, omics and network pharmacology were combined to analyze the therapeutic potential, mechanism and material basis of ST intervention for the management of brain diseases.…”