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

Exploring active ingredients of anti-osteoarthritis in raw and wine-processed Dipsaci Radix based on spectrum-effect relationship combined with chemometrics

ETHNOPHARMACOLOGICAL RELEVANCE

Dipsaci Radix (DR) is the dry root of the Dipsacus asper Wall. ex DC., which has the function of tonifying the liver and kidney, continuing tendons and bones, and regulating blood vessels. However, there are few reports on the main active ingredients.

AIM OF THE STUDY

This study aimed to find the main active components of DR in the treatment of osteoarthritis (OA) by spectrum-effect relationship and compare the differences between RDR and WDR.

MATERIALS AND METHODS

Firstly, the high-performance liquid chromatography (HPLC) method was used to establish the fingerprint of DR, and 10 peaks of them were determined by UPLC-Q-TOF/MS. Then, the OA rat model was established by injecting sodium iodoacetate to study the effect of DR on OA. The spectrum-effect relationship was analyzed by grey relational analysis (GRA) and Pearson correlation analysis.

RESULTS

According to the pharmacological results, compared with the model group, the cartilage score, tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6), and Mankin score of rats in low, medium and high dose groups were decreased, and the therapeutic effect of wine-processed DR tended to be better than raw DR at the same dose. Finally, the active components of DR were preliminarily determined as 4 (loganic acid), 6 (chlorogenic acid), 8 (caffeic acid), 14 (dipsanoside B), 16, and 17 (asperosaponin VI) which had a large correlation in GRA and Pearson correlation analysis.

CONCLUSION

This study established the spectrum-effect relationship between the raw and wine-processed DR for the first time, which provided a theoretical basis for the study of the pharmacodynamic substance basis of DR before and after processing. This research provided a reference for the subsequent study of DR.

Eucommiae Folium and Active Compounds Protect Against Mitochondrial Dysfunction-Calcium Overload in Epileptic Hippocampal Neurons Through the Hypertrophic Cardiomyopathy Pathway

Epilepsy is a chronic brain disease and often occurs suddenly for no reason. Eucommiae folium (EF), an edible herb, can be used in the treatment of various kinds of brain diseases in clinic. From the perspective of safety and efficacy, EF is especially suitable for the treatment of chronic brain diseases. With the help of biolabels, this study was aimed to explore the value and feasibility of EF in the treatment of epilepsy. Proteomics and metabolomics were used to explore the biolabels of EF intervention in brain tissues. Bioinformatics was then applied to topologically analyze its neuroprotective effects and mechanisms and material basis based on biolabels, which were validated in an animal model. The biolabel-led research revealed that EF may exert the therapeutic potential to treat brain diseases through the interaction between multiple compounds and multiple targets, among which its therapeutic potential for epilepsy is particularly prominent. In the pentylenetetrazole-induction model, EF and four active compounds (oleamide, catechol, chlorogenic acid, and kaempferol) protected epileptic hippocampal neurons (Nissl and FJB staining) against mitochondrial dysfunction (MYH6, MYL3, and MYBPC3, etc.) and calcium overload (TNNI3, TNNC1, and TNNT2, etc.) through the hypertrophic cardiomyopathy pathway. This study provides new evidence and insights for the neuroprotective effects of EF, in which four active compounds may be potential drug candidates for the treatment of epilepsy.

Multi-component immune knockout: A strategy for studying the effective components of traditional Chinese medicine

Periploca forrestii Schltr., a traditional Chinese medicine (TCM), is commonly used to treat autoimmune diseases such as rheumatoid arthritis (RA). However, its mechanism, involving a variety of cardiac glycosides, remains largely unknown. The immune knockout strategy can highly selectively deplete target components by immunoaffinity chromatography (IAC). We aimed to identify the common structural features of cardiac glycosides in P. forrestii and design IAC to specifically recognize these features to achieve the multi-component knockout of potential active substances from the extracts of P. forrestii. A content detection experiment confirmed that the content of a compound with periplogenin structure (CPS) in the extract of P. forrestii was reduced by 45% by IAC of periplogenin. The immunosuppressive ability of the extract on H9 human T lymphocytic cells was weakened after CPS knockout from P. forrestii extract. Molecular biology experiments showed that mRNA expression of interferon-γ (IFN-γ), interleukin-2 (IL-2), and interleukin-6 (IL-6) in H9 cells was up-regulated after CPS knockout, while no significant changes in the expression of interleukin-4 (IL-4) were found. CPS knockout from P. forrestii extract did not cause significant changes in the proliferation of lipopolysaccharide (LPS)-stimulated RAW264.7 macrophage cells incubated with this extract. These results indicate that CPS exhibited immunosuppressive effects via inhibiting the T helper 1 (Th1) cell immune response and not via the anti-inflammatory components in P. forrestii. This is the first use of IAC to achieve multi-component knockout in TCM extracts for identifying effective compounds. This method is effective and reliable and warrants further exploration.

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

Based on the biolabel research pattern, omics and network pharmacology were used for exploring the neuroprotection of Sophora tonkinensis (ST) in the treatment of brain diseases. Multi-omics were applied to investigate biolabels for ST intervention in brain tissue. Based on biolabels, the therapeutic potential, mechanism and material basis of ST for treating brain diseases were topologically analyzed by network pharmacology. A Parkinson's disease (PD) mouse model was used to validate biolabel analysis results. Four proteins and three metabolites were involved in two key pathways (alanine, aspartate and glutamate metabolism and arginine biosynthesis) and considered as biolabels. Network pharmacology showed that ST has the potential to treat some brain diseases, especially PD. Eight compounds (including caffeic acid, gallic acid and cinnamic acid) may serve as the material basis of ST treating brain diseases via the mediation of three biolabels. In the PD model, ST and its active compounds (caffeic acid and gallic acid) may protect dopaminergic neurons (maximum recovery rate for dopamine, 49.5%) from oxidative stress (E3 ubiquitin-protein ligase parkin, reactive oxygen species, nitric oxide, etc.) and neuroexcitatory toxicity (glutamate dehydrogenase, glutamine, glutamic acid, etc.). These findings indicated that omics and network pharmacology may contribute to the achievement of the objectives of this study based on the biolabel research pattern.

Crystal structure of 7-hydroxy-6-(2-hydroxyethyl)-2H-chromen-2-one, C11H10O4

C11H10O4, monoclinic, Pn (no. 7), a = 4.8622(5) Å, b = 6.7853(7) Å, c = 14.3349(17) Å, β = 96.556(3)°, V = 469.84(9) Å3, Z = 2, Rgt (F) = 0.0512, wRref (F 2) = 0.1249, T = 273(2) K.

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

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 on serum. Bioinformatics databases were used to screen for the material basis that may interfere with biolabels. Omics analysis showed that differentially expressed 19 proteins and 5 metabolites 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 eleven biolabels. The present research reveals that the potential activities and toxicities of HL can be explored based on the biolabel-led research pattern.