A wide‐targeted urinary and serum metabolomics strategy reveals the effective substance of the Wu‐tou decoction

As an important Chinese medicine decoction, Wu‐tou decoction has been used to treat rheumatic arthritis for more than a thousand years. We previously reported that the Wu‐tou decoction could change the urinary and serum metabolites in adjuvant‐induced arthritis rats significantly. The purpose of this research was to confirm the potential biomarkers obtained by previous non‐targeted metabolomics study through quantitative analysis by liqui chromatography with tandem mass spectrometry, in the meantime, to further study the effective material basis of Wu‐tou decoction. Firstly, the important compounds in the tryptophan metabolism pathway, the arginine and proline metabolism pathway, the amino acid metabolism pathway, the tricarboxylic acid cycle, the vitamin B₆ metabolism pathway, and the phenylalanine metabolism pathway, which were identified as potential biomarkers in previous study, were selected for quantitative analysis. Then the linearity, limit of detection, limit of quantification, selectivity, accuracy, precision, stability, recovery, and matrix effect of the quantitative method were examined. Finally, ten and eighteen metabolites were quantitatively analyzed in the serum and urine, respectively. The results showed that seven out of ten serum potential biomarkers and ten out of eighteen urine potential biomarkers were confirmed as real biomarkers. This research provides a powerful reference for the study on effective material basis of Wu‐tou decoction.     

Application of pathways activity profiling to urine metabolomics for screening Qi‐tonifying biomarkers and metabolic pathways of honey‐processed Astragalus

Honey‐processed Astragalus, a widely used Qi‐tonifying and immunomodulating herb in traditional Chinese medicine, has strengthened the tonic effects and achieved fewer side effects compared with astragali radix in clinical application. Here, we focus on Qi‐tonifying biomarkers and pathways of honey‐processed Astragalus using urine metabolomics that provide the basis for building the linkage between metabolites in rat urine and its symptoms. The spleen Qi deficiency model group, normal group, astragali radix group, and honey‐processed Astragalus group were implemented to evaluate Qi‐tonifying effects. Twelve potential biomarkers were screened by multivariate statistical analysis by using ultra high performance liquid chromatography with quadrupole time‐of‐flight mass spectrometry. Furthermore, pathways activity profiling showed unique pathways that are primarily involved in tryptophan metabolism, tricarboxylic acids cycle, and methionine metabolism. The results demonstrated that metabolomics coupled with pathway activity profiling were promising tools. It might serve as a novel methodological clue to systematically dissect the underlying Qi‐tonifying mechanism of honey‐processed Astragalus.     

Geographic impact evaluation of the quality of Alismatis Rhizoma by untargeted metabolomics and quantitative assay

The geographic impact on the quality of Alismatis Rhizoma (derived from the tuber of Alisma orientale), a reputable diuretic traditional Chinese medicine, has seldom been evaluated. Here a metabolomics‐driven approach targeting the bioactive protostane triterpenes was developed, by incorporating UHPLC with quadrupole time‐of‐flight mass spectrometry‐based untargeted metabolite profiling and multiple reaction monitoring quantitative assay, to probe the triterpene differences between Alismatis Rhizoma samples collected from Sichuan, Fujian, and Jiangxi Provinces. Following the metabolomics workflows, the samples from Sichuan and Jiangxi displayed distinct differences in their triterpene profiles, whereas those from Fujian showed remarkable intra‐class variation. Twenty‐three triterpenes were identified to contribute most to the differentiated clustering. A sensitive, precise, repeatable, and accurate quantitative assay method was established on a hybrid triple quadrupole‐linear ion trap mass spectrometer to quantify the contents of eight triterpene compounds. Taking into account the metabolomics and quantitation results, alisol B 23‐acetate and alisol A are significantly different in Alismatis Rhizoma from Sichuan and Jiangxi Provinces, and they may have the potential for geographic discrimination. These results illustrate how geographic difference impacts the triterpene chemistry of Alismatis Rhizoma. Metabolomics‐driven chemical comparison is suitable for the quality evaluation of traditional Chinese medicine.     

Untargeted metabolomic study on the insomnia effect of Suan‐Zao‐Ren decoction in the rat serum and brain using ultra‐high‐performance liquid chromatography quadrupole time‐of‐flight mass spectrometry combined with data processing analysis

Insomnia is a common clinical disease that can seriously damage the normal lives of sufferers. Suan‐Zao‐Ren decoction has been used to treat insomnia for a long time. However, the underlying molecular mechanism of Suan‐Zao‐Ren decoction is still not clear. In this study, the nontargeted metabolomics based on high‐resolution mass spectrometry and multiple statistical approaches were initially used to investigate the changes of potential serum and brain biomarkers and metabolic pathways in the insomnia model rat. Principal component analysis‐discriminate analysis indicated that the Suan‐Zao‐Ren decoction treatment improved the metabolic phenotype insomnia. Moreover, the heatmap analysis identified the most important biomarkers involved in insomnia. According to the pathway analysis, phenylalanine metabolism, tryptophan metabolism, and so on were recognized as the most affected metabolic pathways associated with insomnia disease. These findings provided a comprehensive understanding of the regulative effects of Suan‐Zao‐Ren decoction on the host metabolic phenotype of the insomnia rats. Our work demonstrated that the metabolomics approach is a promising tool that could help us to conduct the exploration of the therapeutic effects and mechanism of traditional Chinese medicines.     

Characterization of chemical composition variations in raw and processed Codonopsis Radix by integrating metabolomics and glycomics based on multiple chromatography-mass spectrometry technology

Codonopsis Radix, a popular food homology medicine, is widely used in clinical traditional Chinese medicine and food supplement, raw products and three types of processed products are the main forms of decoction pieces in China. However, there is no scientific basis for comprehensive chemical characterization of raw and three types of processed products. Herein, we investigated qualitatively and quantificationally secondary and primary metabolites in raw Codonopsis Radix and three types of processed products by metabolomics and glycomics employing multiple chromatography-mass spectrometry technology combined with chemometric analysis further to look for differential compounds and propose the processing-induced chemical mechanisms. The results indicated that Codonopsis Radix became dark-colored and the smell of burnt incense odor was observed after processing. The principal component analysis demonstrated that secondary metabolome and glycome were significantly altered between raw and processed products, and 36 differential secondary metabolites and 11 differential primary metabolites were finally screened through orthogonal partial least-squares-discriminant analysis. The main types of compounds are alkaloids, terpenoids, glycosides, amino acids, monosaccharides, oligosaccharides, and furfural derivatives. Meanwhile, Chemical mechanisms could be involved, including oxidation, glycosidic hydrolysis, esterification, dehydration, and Maillard reaction. This work supplies a chemical basis for the application of various types of Codonopsis Radix decoction pieces.     

Ultra-high performance liquid chromatography/ion mobility time-of-flight mass spectrometry-based untargeted metabolomics combined with quantitative assay unveiled the metabolic difference among the root,leaf, and flower bud of Panax notoginseng

Despite Panax notoginseng (Sanchi: the root and rhizome) is globally popular serving as the source of food additives, health-care products, and traditional Chinese medicines (TCMs), the saponin difference between the root (PNR) and two aerial parts (leaf, PNL; flower bud, PNF) that can be vicariously used, remains unclear. Authentication of Sanchi, particular from the Chinese patent medicines (CPMs), poses great challenges. Ultra-high performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS)-based untargeted metabolomics and quantitative assay by UHPLC-UV were utilized to establish the “Identification Markers” for Sanchi. Targeted monitoring of multiple identification markers was performed for authenticating Sanchi simultaneously from 15 different CPMs. Dimension-enhanced profiling by UHPLC/IM-QTOF-MS in the negative high-definition MS^E (HDMS^E) mode and in-house library-driven peak annotation could characterize totally 328 ginsenosides (133 from PNR, 125 from PNL, and 161 from PNF). Multivariate statistical analysis of the PNR/PNL/PNF samples (45 batches) identified 27 potential markers. Five major markers (notoginsenoside R1, ginsenosides Rg1, -Rb1, -Rb2, and -Rb3) thereof were quantitatively assayed by a fully validated UHPLC-UV (detected at 203 nm) approach. The application of selective ion monitoring (SIM) of 12 differential saponins coupled with UHPLC separation could precisely identify Sanchi from 15 different CPMs (45 batches). Holistic difference in ginsenosides among three parts of P. notoginseng was unveiled, and the markers deduced may assist to identify the illicit substitution of leaf or flower as the root in the TCM compound formulae. Conclusively, the integration of untargeted metabolomics and quantitative analysis can provide reliable information enabling the precise authentication of TCM.     

UHPLC–Q‐TOF‐MS‐based metabolomics approach to compare the saponin compositions of Xueshuantong injection and Xuesaitong injection

Various traditional Chinese medicine preparations developed from Notoginseng total saponins, including Xueshuantong injection and Xuesaitong injection, are extensively used in China to treat cardiocerebrovascular diseases. However, the difference of their saponin compositions remains unknown. An ultra high performance liquid chromatography with quadrupole time‐of‐flight mass spectrometry based metabolomics approach was developed to probe the saponin discrimination between Xueshuantong and Xuesaitong and the related factors by large sample analysis. A highly efficient chromatographic separation was achieved on an HSS T3 column within 20 min with the holistic metabolites information recorded in the negative MS^E mode. A six‐step data pretreatment procedure mainly based on Progenesis QI and mass defect filtering was established. Pattern recognition chemometrics was used to discover the potential saponin markers. The saponin composition of Wuzhou Xueshuantong showed distinct discrimination from the other products. Wuzhou Xueshuantong contains more abundant protopanaxatriol‐type noto‐R₁, Rg₁, Re, and protopanaxadiol‐type Rb₁, but less Rd and other low‐polarity protopanaxadiol‐type ginsenosides. These differences could not directly correlate to the use of different parts of Panax notoginseng , but possibly to the different preparation techniques employed by different manufacturers. These results are beneficial to the establishment of pharmacopoeia standards and the assessment of the efficacy and adverse drug reactions for these homologous products.     

A UPLC‐TOF/MS‐based metabolomics study of rattan stems of Schisandra chinensis effects on Alzheimer's disease rats model

A UPLC‐TOF/MS‐based metabolomics method was established to explore the therapeutic mechanisms of rattan stems of S. chinensis (SCS) in Alzheimer's disease (AD). Experimental AD model was induced by intra‐hippocampal Aβ_1–42 injection in rats. Cognitive function and oxidative stress condition in brain of AD rats were assessed using Morris water maze tests and antioxidant assays [malondialdehyde (MDA), superoxide dismutase (SOD) and glutathione peroxidase (GSH‐Px)], respectively. UPLC‐TOF/MS combined with multivariate statistical analysis were conducted to study the changes in metabolic networks in serum of rats. The results indicated that the AD model was established successfully and the inducement of Aβ_1–42 caused a decline in spatial learning and memory of rats. The injection of Aβ_1–42 in rat brains significantly elevated the level of MDA, and reduced SOD and GSH‐Px activities. In addition, SCS showed significant anti‐AD effects on model rats. A total of 30 metabolites were finally identified as potential biomarkers of AD and 14 of them had a significant recovery compared with the AD model after SCS administration. Changes in AD metabolite profiling were restored to different levels through the regulation of 13 pathways. This is first report on the use of the UPLC‐TOF/MS‐based serum metabolomics method to investigate therapeutic effects of SCS on AD, and enrich potential biomarkers and metabolic networks of AD.     

The use of untargeted and widely targeted metabolomics to distinguish between asphyxia and sudden cardiac death as the cause of death in rats: A preliminary study

It is important to determine the cause of death in the case of asphyxia. However, it is difficult to conclude death by asphyxia, especially when the deceased has underlying heart disease, because there are often no specific and representative corpse signs for both asphyxia and sudden cardiac death (SCD). The aim of the present work was to investigate the potential of metabolomics to discriminate asphyxia from SCD as the cause of death. A total of thirty male Sprague–Dawley rats were used to construct models of asphyxia, SCD (interfering cause of death), and cervical dislocation (control). Untargeted and widely targeted metabolomics approaches were used to obtain rat pulmonary metabolic profiles in this study. First, the metabolic alterations resulting from asphyxia were explored. There were significant changes found in carbohydrate metabolism, the endocrine system, and the sensory system. Second, we screened potential biomarkers and built classification models to determine the cause of death. Moreover, some biomarkers remained differentiated at 24 h and 48 h postmortem, so the cause of death could still be determined after death. This study showed the application potential of metabolomics to investigate the metabolic changes occurring in the process of death, as well as to determine the cause of death on the basis of metabolic differences even after death.     

Brain metabolomics study for the protective effects of Rhodiola crenulata extract on Alzheimer's disease by HPLC coupled with Fourier transform‐ion cyclotron resonance mass spectrometry

In order to investigate the protective effects of Rhodiola crenulata extract on Alzheimer's disease, a brain metabolomics study in rats was conducted by high performance liquid chromatography coupled with Fourier transform ion cyclotron resonance mass spectrometry. Rat model was constructed by bilateral hippocampal injection of amyloid‐β peptide and immunohistochemistry was performed to evaluate the pharmacological effect of Rhodiola crenulata extract. Multivariate statistical analysis was used to discover potential biomarkers in rat brain and related metabolic pathways analysis was conducted to elucidate the action mechanism of Rhodiola crenulata extract. As a result, a total of 19 metabolites contributing to Alzheimer's disease progress were identified and nine of them were restored to the normal levels after drug administration. Pathway analysis revealed that the protective effects of Rhodiola crenulata extract are related to the regulation of glutathione metabolism and arachidonic acid metabolism in rat brain. In conclusion, this work demonstrates that the developed metabolomics method is useful to investigate the protective effects of Rhodiola crenulata extract against Alzheimer's disease. These outcomes may further provide reliable evidence to illuminate the intervention mechanism of other traditional Chinese medicines on Alzheimer's disease.     

Metabolic mapping of Schisandra chinensis lignans and their metabolites in rats using a metabolomic approach based on HPLC with quadrupole time‐of‐flight MS/MS spectrometry

Schisandra chinensis lignans are the main active components of the traditional Chinese medicine Schisandra chinensis in East Asia. At present, there are more and more medicines and health foods in which the total S. chinensis lignans extracts are considered as the main active components, but little research has been done on the active components of S. chinensis lignans in the blood and main target organs. In this study, the components of S. chinensis lignans in the blood, liver and brain tissues of rats at different time points after the intragastrical administration of S. chinensis lignans were determined by a metabolomic method based on high‐performance liquid chromatography with quadrupole time‐of‐flight tandem mass spectrometry spectrometry. Twelve Schisandra chinensis lignans and 15 metabolites in the blood, liver, and brain of rats were identified. The results showed that the main metabolic ways of S. chinensis lignans in rats were hydroxylation, demethylation, and demethylation‐hydroxylation, and some of them might undergo demethylation, dehydrogenation, epoxidation, and elimination reaction. The time‐dose characteristics of S. chinensis lignans and their metabolites in the blood and target organs were analyzed, which may be helpful to elucidate the active substances that really exert the pharmacodynamic effects of S. chinensis lignans in organisms.     

A metabolomic study of the urine of rats with Alzheimer's disease and the efficacy of Ding‐Zhi‐Xiao‐Wan on the afflicted rats

As a well‐known traditional Chinese medicine formula, Ding‐Zhi‐Xiao‐Wan has long been used for the routine treatment of Alzheimer's disease. However, the mechanism of Ding‐Zhi‐Xiao‐Wan in treating Alzheimer's disease is unclear. Therefore, a nontargeted metabolomics method based on ultrahigh performance liquid chromatography with quadrupole time‐of‐flight mass spectrometry has been established to explore the metabolic variations in the urine of Alzheimer's disease rats and investigate the therapeutic mechanism of Ding‐Zhi‐Xiao‐Wan on Alzheimer's disease. To develop a better rat model of Alzheimer's disease, amyloid β25‐35 was injected into the bilateral hippocampus of Sprague–Dawley rats. Multivariate analysis approaches were applied to differentiate the urine components between the four groups. Thereafter, a targeted metabolomics method was used to verify the identified endogenous metabolites and determine the mechanism of action of Ding‐Zhi‐Xiao‐Wan. Altogether, 26 potential biomarkers were found, of which 15 biomarkers (10 of which are potential biomarkers found in nontargeted metabolomics) were identified. The results show that Ding‐Zhi‐Xiao‐Wan mainly affects the pathways of taurine and hypotaurine metabolism, tryptophan metabolism, and phenylalanine metabolism. Ding‐Zhi‐Xiao‐Wan might play a role in the treatment of Alzheimer's disease by mediating antioxidative stress, regulation of energy metabolism, improvement of intestinal microbes, and protection of nerve cells.     

基于气相色谱-质谱联用的代谢组学用于黄连治疗II型糖尿病的机理探索

将代谢组学的方法用于研究黄连治疗II型糖尿病的机理。II型糖尿病造模采用对大鼠灌胃脂肪乳并腹腔注射40 mg/kg链脲佐菌素的方法,大鼠分为正常组、模型组、黄连给药治疗组(10 g/kg)、二甲双胍给药治疗组(0.08 g/kg)。大鼠给药30天后,采集血样用于生化指标的检测,采集24 h尿样用于代谢组学的分析。与模型组相比,糖尿病大鼠给药黄连30天后,空腹血糖值(FBG)显著降低了59.26%,总胆固醇(TC)降低了58.66%,甘油三酯(TG)降低了42.18%。采用气相色谱-质谱联用技术(GC-MS)对大鼠尿样中的内源性物质进行了相对含量测定,主成分分析结果表明,正常组与模型组显著分离,黄连组处于正常组与模型组之间,更接近于正常组。发现12个代谢物与糖尿病有关,包括4-甲基苯酚、苯甲酸、氨基丙二酸等。给药黄连后,其中的7个代谢物发生显著性回调,与氧化应激状态相关的氨基丙二酸和L-抗坏血酸出现向正常组显著性调节的趋势。这些结果表明,黄连不仅具有降糖和降血脂的作用,而且具有抗氧化作用,在一定程度上可能会抑制糖尿病合并症的发生和发展。     

Exploring the in vitro anti-inflammatory activity of gross saponins of Tribulus terrestris L. fruit by using liquid chromatography-mass spectrometry-based cell metabolomics approach

Our previous studies confirmed the efficacy of gross saponins of Tribulus terrestris L. fruit in treating cerebral ischemia. This study aimed to investigate the related mechanisms in vitro. The lipopolysaccharide-induced BV2 cells model was constructed and treated with gross saponins at different concentrations to explore its anti-inflammatory activity. The cell metabolite changes were tracked by liquid chromatography-mass spectrometry (LC-MS)-based metabolomics, and the metabolic biomarkers and related metabolic pathways were analyzed. Molecular biochemistry analysis was further used to verify the relevant inflammatory pathways. The results showed that the saponins reduced nitric oxide release and the secretion of tumor necrosis factor-alpha, interleukin-1β, and interleukin-6 from lipopolysaccharide-induced BV2 cells. Metabolic perturbations occurred in lipopolysaccharide-treated BV2 cells, which could be reversed by drug treatment via mainly regulating glycerophospholipid metabolism, tryptophan metabolism, purine metabolism pathways, etc. The western blot analysis demonstrated that saponin could suppress the activation of the inflammatory-related signaling pathway. The present study explored the in vitro anti-inflammatory mechanism of gross saponins of Tribulus terrestris L. fruit using an LC-MS-based cell metabolomics approach, which confirms the great potential of LC-MS for drug efficacy evaluation and can be applied in other herbal medicine-related analyses.     

Profiling of widely targeted metabolomics for the identification of chemical composition in epidermis,xylem and pith of Gleditsiae Spina

Gleditsiae Spina, the thorn of Gleditsia sinensis Lam., has a long history of being used as a traditional medicine in East Asian countries. However, only a few biologically active substances have been identified from it. In this study, the epidermis, xylem and pith of Gleditsiae Spina, respectively Gs-E, Gs-X and Gs-P, were studied. We used a widely targeted metabolomics method to investigate the chemical composition of Gs-E, Gs-X and Gs-P. A total of 728 putative metabolites were identified from Gleditsiae Spina, including 211 primary metabolites and 517 secondary metabolites. These primary and secondary metabolites could be categorized into more than 10 different classes. Flavonoids, phenolic acids, lipids, amino acids and derivatives, and organic acids constituted the main metabolite groups. Multivariate statistical analysis showed that the Gs-E, Gs-X and Gs-P samples could be clearly separated. Differential accumulated metabolite (DAM) analysis revealed that more than half of the DAMs exhibited the highest relative concentrations in Gs-E, and most of the DAMs showed the lowest relative concentrations in Gs-X. Moreover, 11 common differential primary metabolites and 79 common differential secondary metabolites were detected in all comparison groups. These results further our understanding of chemical composition and metabolite accumulation of Gleditsiae Spina.     

Metabolic analysis of the antidepressive effects of Yangxinshi Tablet in a vascular depression model in mice

In recent years, vascular depression has become the focus of international attention. Yangxinshi Tablet (YXST) is usually used in cthe linic for the treatment of arrhythmia and heart failure, but we found that it also has antidepressive effects. The objective of the study was to identify biomarkers related to vascular depression in hippocampus and explore the antidepressive effects of YXST on the mouse model. Untargeted metabolomics based on UHPLC‐Q‐TOF/MS was applied to identify significantly differential biomarkers between the model group and control group. Unsupervised principal component analysis (PCA) was used to scan the tendency of groups and partial least squares‐discriminant analysis (PLS‐DA) to distinguish between the vascular depressive mice and the sham. PCA stores showed clear differences in metabolism between the vascular depressive mice and sham groups. The PLS‐DA model exhibited 38 metabolites as the biomarkers to distinguish the vascular depressive mice and the sham. Further, YXST significantly regulated 22 metabolites to normal levels. The results suggested that YXST has a comprehensive antidepressive effect on vascular depression via regulation of multiple metabolic pathways including amino acid, the tricarboxylic acid cycle and phosphoglyceride metabolisms. These findings provide insight into the pathophysiological mechanism underlying vascular depression and the mechanism of YXST.     

Influence of different processing times on the quality of Polygoni Multiflora Radix by metabolomics based on ultra high performance liquid chromatography with quadrupole time‐of‐flight mass spectrometry

A metabolomics method based on ultra high performance liquid chromatography with quadrupole time‐of‐flight mass spectrometry was developed to evaluate the influence of processing times on the quality of raw and processed Polygoni Multiflora Radix . Principal component analysis and partial least‐squares discriminant analysis was used to screen the potential maker metabolites that were contributed to the quality changes. Then these marker metabolites were selected as variables in Fisher's discriminant analysis to establish the models that were used to distinguish the raw and processed Polygoni Multiflora Radix in the markets. Additionally, 36 compounds were identified. Twelve raw Polygoni Multiflora Radix samples and 23 processed Polygoni Multiflora Radix samples were distinguished. The results showed that the 12 raw Polygoni Multiflora Radix samples belonged to the group of processing time of 0 h, and two processed Polygoni Multiflora Radix samples were part of the group of processing times of 4 h, 12 samples belonged to group of processing times of 8 to 16 h, and nine samples were the group of processing times of 24 to 48 h. The results demonstrated that the method could provide scientific support for the processing standardization of Polygoni Multiflora Radix .     

Metabolomics approach based on utra-performance liquid chromatography coupled to mass spectrometry with chemometrics methods for high-throughput analysis of metabolite biomarkers to explore the abnormal metabolic pathways associated with myocardial dysfunction

Ultra-performance liquid chromatography/mass spectrometry-based metabolomics can been used for discovery of metabolite biomarkers to explore the metabolic pathway of diseases. Identification of metabolic pathways is key to understanding the pathogenesis and mechanism of disease. Myocardial dysfunction induced by sepsis (SMD) is a severe complication of septic shock and represents major causes of death in intensive care units; however its pathological mechanism is still not clear. In this study, ultrahigh-pressure liquid chromatography with mass spectrometry-based metabolomics with chemometrics anaylsis and multivariate pattern recognition analysis were used to detect urinary metabolic profile changes in a lipopolysaccharide-induced SMD mouse model. Multivariate statistical analysis including principal component analysis and orthogonapartial least squares discriminant analysis for the discrimination of SMD was conducted to identify potential biomarkers. A total of 19 differential metabolites were discovered by high-resolution mass spectrometry-based urinary metabolomics strategy. The altered biochemical pathways based on these metabolites showed that tyrosine metabolism, phenylalanine metabolism, ubiquinone biosynthesis and vitamin B6 metabolism were closely connected to the pathological processes of SMD. Consequently, integrated chemometric analyses of these metabolic pathways are necessary to extract information for the discovery of novel insights into the pathogenesis of disease.     

Metabolomics approach based on ultra‐high‐performance liquid chromatography coupled with quadrupole‐time‐of‐flight mass spectrometry to identify the chemical constituents of the Traditional Chinese Er‐Zhi‐Pill

Er‐Zhi‐Pill, which consists of Ligustri lucidi fructus and Ecliptae prostratae herba , is a classical traditional Chinese medicinal formulation widely used as a liver‐nourishing and kidney‐enriching tonic. To identify the bioactive ingredients of Er‐Zhi‐Pill and characterize the variation of chemical constituents between co‐decoction and mix of individually decocted L. lucidi fructus and E. prostratae herba , a novel metabolomics approach based on ultra high performance liquid chromatography coupled with quadrupole time‐of‐flight mass spectrometry in both positive and negative ion modes, was established to comprehensively analyze chemical constituents and probe distinguishable chemical markers. In total, 68 constituents were unambiguously or tentatively identified through alignment of accurate molecular weights within an error margin of 5 ppm, elemental composition and fragmentation characteristics, including eight constituents, which were confirmed by comparing to reference standards. Furthermore, principal component analysis and partial least squares discriminant analysis using Simca‐p+ 12.0 software were applied to investigate chemical differences between formulations obtained by co‐decoction and a mixture of individual decoctions. Global chemical differences were found in samples of two different decoction methods, and 16 components, including salidroside, specneuzhenide and wedelolactone, contributed most to the observed differences. This study provides a basic chemical profile for the quality control and further mechanism research of Er‐Zhi‐Pill.     

Strategies for determining the bioactive ingredients of honey‐processed Astragalus by serum pharmacochemistry integrated with multivariate statistical analysis

Honey‐processed Astragalus is a widely used traditional Chinese medicine that has a better effect on reinforcing “Qi” (vital energy) than the raw one. A comparative study of metabolites analysis between them in rat serum for finding the bioactive ingredients was carried out using serum pharmacochemistry and multivariate statistical analysis. The blood collection methods and time were optimized first. Then the prototypes and metabolites in serum samples after oral administration were investigated by ultra‐high‐performance liquid chromatography coupled with electrospray ionization quadrupole time‐of‐flight mass spectrometry integrated with principal component analysis and orthogonal partial least squares discriminant analysis. The contents of metabolites were also analyzed to evaluate the metabolic profile differences. As a result, nine prototypes and 36 metabolites were identified. Only two prototypes and 15 metabolites were different between raw and honey‐processed Astragalus. Their biotransformation reactions contained the process of oxidation, demethylation, and hydrolysis in phase I and glucuronide conjugation or sulfate conjugation in phase II. Most of the detected metabolites were transformed from isoflavones and isoflavanes. Our results expand the knowledge about the influence of honey‐processing on Astragalus and suggest the different curative effects between raw and honey‐processed Astragalus might due to their therapeutic material discrepancy.