Simultaneous Determination of Paeoniflorin, Albiflorin and Benzoylpaeoniflorin in Radix Paeoniae Alba by TLC

Rapid evaluation of Radix Paeoniae Alba and its processed products by near-infrared spectroscopy combined with multivariate algorithms

It is well known that the processing method of herbal medicine has a complex impact on the active components and clinical efficacy, which is difficult to measure. As a representative herb medicine with diverse processing methods, Radix Paeoniae Alba (RPA) and its processed products differ greatly in clinical efficacy. However, in some cases, different processed products are confused for use in clinical practice. Therefore, it is necessary to strictly control the quality of RPA and its processed products. Giving that the time-consuming and laborious operation of traditional quality control methods, a comprehensive strategy of near-infrared (NIR) spectroscopy combined with multivariate algorithms was proposed. This strategy has the advantages of being rapid and non-destructive, not only qualitatively distinguishing RPA and various processed products but also enabling quantitative prediction of five bioactive components. Qualitatively, the subspace clustering algorithm successfully differentiated RPA and three processed products, with an accuracy rate of 97.1%; quantitatively, interval combination optimization (ICO), competitive adaptive reweighted sampling (CARS), and competitive adaptive reweighted sampling combined with successive projections algorithm (CARS-SPA) were used to optimize the PLS model, and satisfactory results were obtained in terms of wavelength selection. In conclusion, it is feasible to use NIR spectroscopy to rapidly evaluate the effect of processing methods on the quality of RPA, which provides a meaningful reference for quality control of other herbal medicines with numerous processing methods.

Study on antidepressant mechanism of Radix Bupleuri-Radix Paeoniae Alba herb pair by metabonomics combined with 1H nuclear magnetic resonance and ultra-high-performance liquid chromatography-tandem mass spectrometry detection technology

OBJECTIVES

Radix Bupleuri-Radix Paeoniae Alba (BP), a traditional Chinese medicine herb pair, has treated depression by coordinating the liver in Chinese classical medicine books and modern research. This study aims to verify the antidepressant effect of BP by behavioural examination, and reveal the underlying antidepressant mechanisms of BP.

METHODS

The antidepressant effects in chronic unpredictable mild stress (CUMS) of BP were observed by behavioural indicators and 1H nuclear magnetic resonance (1H-NMR) and ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) metabonomics techniques combined with the related analysis platforms.

KEY FINDINGS

BP could significantly improve the depressive behaviour of CUMS rats. Compared with the model group, body weight (P < 0.05), the number of crossing (P < 0.001) and rearing (P < 0.01) and sucrose preference rate (P < 0.01) were significantly enhanced, and the immobility time was shortened in the forced swimming test (P < 0.001) of the BP group. In metabonomics study, 35 depression-related metabolites were identified by 1H NMR and UHPLC-MS/MS metabonomics by comparing model and control groups. BP could significantly retrieve 17 depression-related metabolites. Thirteen depression-related metabolic pathways were found through Met-PA and BP could regulate seven metabolic pathways.

CONCLUSIONS

BP herb pair had significantly antidepressant effect, which provides a basis for further finding drug targets.

Studies on the Changes of Pharmacokinetics Behaviors of Phytochemicals and the Influence on Endogenous Metabolites After the Combination of Radix Bupleuri and Radix Paeoniae Alba Based on Multi-Component Pharmacokinetics and Metabolomics

Radix Bupleuri-Radix Paeoniae Alba (RB-RPA) is a classic herb pair, which is commonly used to treat depression by soothing "liver qi stagnation" in the clinic. However, little is yet known concerning the combination mechanism of Radix Bupleuri (RB) and Radix Paeoniae Alba (RPA), their bioactive forms in vivo and the regulatory effects on the organism. The present study aimed to elucidate the changes in multi-component pharmacokinetics (PK) behavior after the combination of RB and RPA by a high-resolution full-scan mode of UPLC-HRMS method (a total of 38 components PK profiles were obtained, of which 23 components come from RB and 15 components come from RPA). Moreover, the metabolomics approach was used to analyze the dynamic response of endogenous metabolites intervened by RB-RPA, and the correlation between concentration-time curves of 38 components from RB-RPA and the dynamic response profiles of endogenous metabolites was characterized by Pearson correlation analysis. The results demonstrated that the combination of RB and RPA could significantly improve the bioavailability of five components in RB, and six components in RPA. Besides, metabolomics results indicated that a total of 21 endogenous metabolites exhibited time-dependent changes in response to the RB-RPA administration, of which 12 endogenous metabolites were significantly increased, and nine endogenous metabolites were significantly decreased. Furthermore, correlation analysis results indicated that the components with significantly improved bioavailability after combination such as saikogenin F, saikogenin G, albiflorin, methyl gallate, paeonimetabolin II were significantly positively correlated with picolinic acid, a metabolite with neuroprotective effect; saikogenin F, saikogenin G were significantly positively correlated with itaconic acid, a endogenous metabolite with anti-inflammatory activity; and albiflorin, paeonimetabolin II were significantly positively correlated with α-linolenic acid, a metabolite with strong protective actions on brain functions. These results indicated that the combination of RB and RPA can enhance each other's neuroprotective and anti-inflammatory activities. In this study, A novel and efficient strategy has been developed to analyze the influence of the combination of RB and RPA in vivo behaviors by combining multi-component pharmacokinetics with metabolomics, which was contributed to clarifying the scientific connotation of herb-herb compatibility.

Advancement in the chemical analysis of Paeoniae Radix (Shaoyao)

Paeoniae Radix Alba (baishao or white peony root) and Paeoniae Radix Rubra (chishao or red peony root) are two highly valuable traditional Chinese medicines (TCMs) usually indicated for painful conditions, menstrual disorders and viral infections. These two TCMs are collectively referred to as shaoyao (Paeoniae Radix) due to their close origins and similar chemical compositions. Modern research indicates that monoterpene glycosides, polyphenols and paeonols are the three main types of compounds related to the pharmacological activities of Paeoniae Radix. This review summarizes recent advances in the chemical analysis of Paeoniae Radix and the related traditional Chinese medicine formulas/preparations, including methods used for sample pretreatment, qualitative analysis, quantitative analysis and biological sample analysis. More than 120 papers are discussed in this review, focusing on the chemical analysis of Paeoniae Radix, and various analytical techniques (such as HPLC, LC-MS, IR, near IR and quantitative NMR), as well as their advantages/disadvantages, are described. It is our hope that this paper can provide necessary information for improving the quality evaluation methods currently available for Paeoniae Radix and offer a scientific basis for the future in-depth study of the pharmacokinetics and pharmacodynamics of Paeoniae Radix.

Systems Pharmacology Dissection of Multiscale Mechanisms of Action for Herbal Medicines in Treating Rheumatoid Arthritis

As a chronic inflammatory and angiogenic disease with increased morbidity and mortality, rheumatoid arthritis (RA) is characterized by the proliferation of synovial tissue and the accumulation of excessive mononuclear infiltration, which always results in the joint deformity, disability, and eventually the destruction of the bone and cartilage. Traditional Chinese Medicine (TCM), with rich history of proper effectiveness in treating the inflammatory joint disease containing RA, has long combated such illness from, actually, an integrative and holistic point of view. However, its "multi-components" and "multi-targets" features make it very difficult to decipher the molecular mechanisms of RA from a systematic perspective if employing only routine methods. Presently, an innovative systems-pharmacology approach was introduced, which combined the ADME screening model, drug targeting, and network pharmacology, to explore the action mechanisms of botanic herbs for the treatment of RA. As a result, we uncovered 117 active compounds and 85 key molecular targets from seven RA-related herbs, which are mainly implicated in four signaling pathways, that is, vascular endothelial growth factor, PI3K-Akt, Toll-like receptor, and T-cell-receptor pathways. Additionally, the network relationships among the active components, target proteins, and pathways were further built to uncover the pharmacological characters of these herbs. Besides, molecular dynamics (MD) simulations and molecular mechanics-Poisson-Boltzmann surface area calculations were carried out to explore the binding interactions between the compounds and their receptors as well as to investigate the binding affinity of the ligand to their protein targets. In vitro experiments by ligand binding assays validate the reliability of the drug-target interactions as well as the MD results. The high binding affinities and good inhibitions of the active compounds indicate that the potential therapeutic effects of these herbal medicines for treating RA are exerted probably through the modulation of these relevant proteins, which further validates the rationality and reliability of the drug-target interactions as well as our the network-based analytical methods. This work may be of help for not only understanding the action mechanisms of TCM and for discovering new drugs from plants for the treatment of RA, but also providing a novel potential method for modern medicine in treating complex diseases.

TCM, brain function and drug space

Covering: up to 2015. Traditional Chinese medicine has played a significant role in the mainstream healthcare system in China for thousands of years. Here, we summarize 84 major compounds from 15 selected herbal medicines targeting neurodegenerative diseases. We present a perspective based on the analysis of physicochemical properties of these TCM compounds, and comparison with current drugs and candidates for the treatment of Parkinson's and Alzheimer's disease. The results demonstrate that traditional Chinese medicines contain compounds possessing physicochemical properties that have excellent overlap with developed western medicines.

Pharmacokinetic comparisons by UPLC-MS/MS of isomer paeoniflorin and albiflorin after oral administration decoctions of single-herb Radix Paeoniae Alba and Zengmian Yiliu prescription to rats

Zengmian Yiliu (ZMYL), a traditional Chinese formula, is designed to improve clinical efficacy and reduce adverse effects in combination with cisplatin in ovarian cancer chemotherapy. In ZMYL, Radix Paeoniae Alba (RPA, made from root of Paeonia lactiflora Pall.) acts as an adjunctive drug in cancer treatment by ameliorating side effects induced by radio- and chemotherapy. The pharmacokinetics differences between isomer albiflorin and paeoniflorin, the main components of RPA, after oral administration decoction of single-herb RPA and ZMYL were compared using a sensitive and accurate UPLC-MS/MS. The results indicate that there are statistically significant differences between the pharmacokinetic parameters: decreasing area under the plasma concentration-time curve (AUC), maximum concentration (Cmax ), elimination rate constant (Ke ) and increasing apparent volume of distribution (Vd ) and clearance (CL) for albiflorin, increasing distribution half-life (T1/2d ) and decreasing elimination half-life (T1/2e ), distribution rate constant (Kd ) and absorption rate constant (Ka ) for paeoniflorin in the ZMYL group compared with the single-herb RPA group. In comparison with albiflorin, the pharmacokinetic parameters of paeoniflorin included significantly increasing mean residence time (MRT) and Vd , decreasing CL and Ke in the single-herb RPA group and increasing MRT and T1/2d and decreasing CL, Ke and Kd in the ZMYL group. Both paeoniflorin and albiflorin are more likely, as the main active ingredients in RPA and ZMYL, to play a variety of pharmacological effects, and herb-herb interactions occur, resulting in different pharmacokinetics of albiflorin and paeoniflorin in RPA and ZMYL.

Detection of paeoniflorin and albiflorin by immunostaining technique using anti-paeoniflorin monoclonal antibody

INTRODUCTION

Paeoniae radix is one of the most important crude drugs used in Kampo medicines (KMs). A part of its pharmaceutical properties is due to the presence of paeoniflorin (PF) and albiflorin (AF).

OBJECTIVE

For the specific and easy identification of PF and AF, an immunostaining technique was developed using anti-PF monoclonal antibody (MAb).

METHODOLOGY

PF and AF were treated with a NaIO₄ solution and reacted with bovine serum albumin (BSA) preparing PF- and AF-BSA conjugates on the polyethersulphone (PES) membrane. Anti-PF MAb was bound and then antibody labelled with peroxidase directed against anti-PF MAb. Finally, a substrate was added and then PF and AF were detected.

RESULTS

Anti-PF MAb recognised not only PF but also AF when 10 µg was present on the PES membrane. As little as 0.5 µg of PF and AF were still detected under immunostaining. Various Paeoniae radix samples and KMs were qualitatively analysed, and total amounts of PF and AF were visually detected by immunostaining technique. This method was applied to investigate the distribution of PF and AF in fresh peony root using immunoblotting by transferred from peony root to the PES membrane.

CONCLUSION

The technique permitted the visualisation of PF and AF on PES membrane using immunostaining. The immunostaining technique established would be a powerful tool for probing the sources of PF and AF in plant extracts.

Identification and determination of the major constituents in Traditional Chinese Medicinal formula Danggui-Shaoyao-San by HPLC-DAD-ESI-MS/MS

Danggui-Shaoyao-San (DSS), a famous traditional Chinese medicine formula consisting of six herbal medicines (Paeonia lactiflora, Angelica sinensis, Ligusticum chuanxiong, Poria cocos, Atractylodis macrocephalae and Rhizoma Alismatis), has been used as a classical gynecological remedy in China for centuries. However, its active substances have remained unknown. In this paper, an HPLC/DAD/ESI-MS/MS method was developed for the qualitative and quantitative analysis of the major constituents in DSS. The ESI-MS/MS fragmentation behavior of the reference compounds was proposed for aiding the structural identification of components in DSS extract. Forty-one compounds including monoterpene glycosides, phenolic acids, phathalides, sesquiterpenoids and triterpenes were identified or tentatively characterized by comparing their retention times, UV and MS spectra with those of authentic compounds or literature data, and 14 of them (gallic acid, albiflorin, paeoniflorin, ferulic acid, benzoic acid, senkyunolide I, coniferyl ferulate, senkyunolide A, 3-butylphthalide, Z-ligustilide, Z-butylidenephthalide, atractylcnolide II, atractylcnolide I and levistolide A) were determined by HPLC-DAD using a C18 column and gradient elution of acetonitrile/water-formic acid (100:0.1, v/v). The linearity, precision, accuracy, LOD and LOQ were validated for the quantification method, which proved sensitive, accurate and reproducible. The study might provide a basis for the quality control of DSS extracts and preparations.