Metabolites Of Traditional Chinese Medicines Research Articles

Metabolites of traditional Chinese medicine targeting PI3K/AKT signaling pathway for hypoglycemic effect in type 2 diabetes.

Type 2 diabetes mellitus is a chronic metabolic disease characterized by insulin resistance, with high morbidity and mortality worldwide. Due to the tightly intertwined connection between the insulin resistance pathway and the PI3K/AKT signaling pathway, regulating the PI3K/AKT pathway and its associated targets is essential for hypoglycemia and the prevention of type 2 diabetes mellitus. In recent years, metabolites isolated from traditional Chinese medicine has received more attention and acceptance for its superior bioactivity, high safety, and fewer side effects. Meanwhile, numerous in vivo and in vitro studies have revealed that the metabolites present in traditional Chinese medicine possess better bioactivities in regulating the balance of glucose metabolism, ameliorating insulin resistance, and preventing type 2 diabetes mellitus via the PI3K/AKT signaling pathway. In this article, we reviewed the literature related to the metabolites of traditional Chinese medicine improving IR and possessing therapeutic potential for type 2 diabetes mellitus by targeting the PI3K/AKT signaling pathway, focusing on the hypoglycemic mechanism of the metabolites of traditional Chinese medicine in type 2 diabetes mellitus and elaborating on the significant role of the PI3K/AKT signaling pathway in type 2 diabetes mellitus. In order to provide reference for clinical prevention and treatment of type 2 diabetes mellitus.

The Activity, Composition and Molecular Mechanism of Bothriospermum zeylanicum (Hornem.) Fisch. Et Mey Alleviation of Nonsmall Cell Lung Cancer

Objective: To study the effect of the ethyl acetate extract of Bothriospermum zeylanicum (Hornem.) Fisch., the active ingredients and mechanism of Et Mey (EAF) in nonsmall cell lung cancer (NSCLC) were explored. Methods: 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay was used to measure the effect of EAF on the proliferation of A549, HL-60, SMMC-7721, MDA-MB-231, and SW480 tumor cells. The components were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS), and the blood components were retrieved from the constituents absorbed into the blood and metabolites of traditional Chinese medicine (DCABM-TCM) database. The mechanism was determined by network pharmacology and verified by molecular docking. Results: The IC50 values for the proliferation of tumor cell strains were 41.13, 56.72, 36.69, 48.63, and 44.48 μg/mL, respectively. A concentration of 100 μg/mL had the strongest inhibitory effect on A549 cells. A total of 33 chemical components were identified by LC-MS, 7 of which have been reported to have certain anti-NSCLC effects, and a total of 6 blood components were identified using the DCABM-TCM database. Network pharmacology analysis revealed that anti-NSCLC activity mainly involves EGFR tyrosine kinase inhibitor resistance, the PI3K-Akt signaling pathway, the AGE-RAGE signaling pathway in diabetic complications, the HIF-1 signaling pathway and the VEGF signaling pathway. The molecular docking results verified that hesperetin, luteolin, and pinocembrin bind well to the AKT1, IL6, EGFR, BCL2, and CASP3 target proteins. Conclusion: The ethyl acetate fraction of B. zeylanicum (Hornem.) Fisch. Et Mey had obvious ant-non NSCLC activity, which may be related to resistance to EGFR tyrosine kinase inhibitors and the PI3K-Akt signaling pathway in diabetic complications, and its active ingredients may be hesperetin, luteolin, and pinocembrin.

DCABM-TCM: A Database of Constituents Absorbed into the Blood and Metabolites of Traditional Chinese Medicine.

Traditional Chinese medicine (TCM) not only maintains the health of Asian people but also provides a great resource of active natural products for modern drug development. Herein, we developed a Database of Constituents Absorbed into the Blood and Metabolites of TCM (DCABM-TCM), the first database systematically collecting blood constituents of TCM prescriptions and herbs, including prototypes and metabolites experimentally detected in the blood, together with the corresponding detailed detection conditions through manual literature mining. The DCABM-TCM has collected 1816 blood constituents with chemical structures of 192 prescriptions and 194 herbs and integrated their related annotations, including physicochemical, absorption, distribution, metabolism, excretion, and toxicity properties, and associated targets, pathways, and diseases. Furthermore, the DCABM-TCM supported two blood constituent-based analysis functions, the network pharmacology analysis for TCM molecular mechanism elucidation, and the target/pathway/disease-based screening of candidate blood constituents, herbs, or prescriptions for TCM-based drug discovery. The DCABM-TCM is freely accessible at http://bionet.ncpsb.org.cn/dcabm-tcm/. The DCABM-TCM will contribute to the elucidation of effective constituents and molecular mechanism of TCMs and the discovery of TCM-derived drug-like compounds that are both bioactive and bioavailable.

A mass defect filtering combined background subtraction strategy for rapid screening and identification of metabolites in rat plasma after oral administration of Yindan Xinnaotong soft capsule

The absorbed prototypes and metabolites of traditional Chinese medicines (TCMs) serves an important part in pharmacological action and clinical effects. However, the comprehensive characterization of which is facing actual or possible rigorous challenges due to the lack of data mining methods and the complexity of metabolite samples. Yindan Xinnaotong soft capsule (YDXNT), a typical traditional Chinese medicine prescription consisting of extracts from 8 herbal medicines, is widely used for the treatment of angina pectoris and ischemic stroke in the clinic. This study established a systematic data mining strategy based on ultra-high performance liquid chromatography tandem quadrupole-time-of-fight mass spectrometry (UHPLC-Q-TOF MS) for comprehensive metabolite profiling of YDXNT in rat plasma after oral administration. The multi-level feature ion filtration strategy was primarily conducted through the full scan MS data of plasma samples. All potential metabolites were rapidly fileted out from the endogenous background interference based on the background subtract and the chemical type specifically mass defect filter (MDF) windows including flavonoids, ginkgolides, phenolic acids, saponins, and tanshinones. As the MDF windows of certain types were overlapped, the screened-out potential metabolites were deeply characterized and identified according to their retention times (RT), integrating neutral loss filtering (NLF), diagnostic fragment ions filtering (DFIF), and further confirmed by reference standards. Thus, a total of 122 compounds, consisting of 29 prototype components (16 confirmed with reference standards) and 93 metabolites had been identified. This study provides a rapid and robust metabolite profiling method for researching complicated traditional Chinese medicine prescriptions.

Characterization of phenylalanine ammonia-lyase genes facilitating flavonoid biosynthesis from two species of medicinal plant Anoectochilus.

BackgroundAnoectochilus roxburghii and Anoectochilus formosanus, belong to the Anoectochilus genus, have been used for Chinese herbal drugs as well as health food. Phenylalanine ammonia-lyase (PAL), the key enzyme in primary metabolism and phenylpropanoid metabolism, produces secondary metabolites (flavonoids) in plants, which are beneficial for the biosynthesis of phenylpropanoid metabolites.MethodsThe PAL genes were cloned from A. formosanus and A. roxburghii according to our previous transcriptomic analysis. The PALs were introduced into pCAMBIA2300-35S-PAL-eGFP to generate 35S-PAL-eGFP. The constructs were further used for subcellular localization and transgenic Arabidopsis. The expression of AfPAL and ArPAL under precursor substance (L-Phe), NaCl, UV, and red-light were analyzed by real-time quantitative PCR (RT-qPCR).ResultsAfPAL and ArPAL , encoding 2,148 base pairs, were cloned from A. formosanus and A. roxburghii. The subcellular localization showed that the ArPAL and AfPAL were both localized in the nucleus with GPF. Quantitative RT-PCR analysis indicated that the ArPAL and AfPAL genes function in the phenylalanine pathway as well as response to induced conditions. Overexpression of the AfPAL and ArPAL could increase flavonoids and anthocyanin content in the transgenic Arabidopsis.DiscussionThe results suggest that AfPAL and ArPAL play a crucial role in the flavonoid biosynthesis in Anoectochilus. Also, our study provides new insights into the enrichment of secondary metabolites of traditional Chinese medicines A. formosanus and A. roxburghii, which can improve their medicinal active ingredients and be used for drug discovery in plants.

Metabolite Identification of Huangqi Jianzhong Tang in Rat Urine and Feces after Oral Administration Based on UHPLC-Q-Exactive-MS.

Huangqi Jianzhong Tang (HQJZ), a famous traditional Chinese medicine formula, is widely used in the treatment of gastrointestinal diseases in China. In this study, an ultra-high-performance liquid chromatography coupled with quadrupole-Exactive mass spectrometry was used to identify the metabolites in rat urine and feces after oral administration of HQJZ coupled with Compound Discover 3.0 software. The possible metabolic pathways were calculated and deduced based on 71 previous detected prototype compounds. As results, 88 compounds were identified in urine and feces, respectively. In urine sample, we identified 20 prototype compounds and 68 related metabolites. Meanwhile, a total of 21 prototype compounds and 67 related metabolites were identified in feces. Among them, flavonoids and saponins were the main ingredients in vivo. Further, we also speculated that HQJZ experienced oxidation, reduction, acetylation, methylation and glucuronic acid reaction in urine and feces. This study established a reliable method for the detection of prototype components and metabolites of traditional Chinese medicines, which would provide helpful information for further research into the active substances of HQJZ.

Recent Progress on Mass Spectrum Based Approaches for Absorption, Distribution, Metabolism, and Excretion Characterization of Traditional Chinese Medicine

The absorption, distribution, metabolism, and excretion (ADME) of traditional Chinese medicine (TCM) components are closely related to their therapeutic efficacy, toxic effects, and drug interactions. Based on the study of the whole process of ADME in TCM, it is important to screen out the key pharmacokinetic index components (pharmacokinetics PK/toxicokinetics TK makers), which can be beneficial for their clinical application or drug development. Although the detection of traditional small molecular drug's in vivo ADME process can be achieved by radioisotope methods, this approach might not be useful for the case of TCM. In detail, it is very difficult to label and trace each component in complex Chinese medicine, while it is also difficult to accurately follow the position of tracer in the whole in vivo process. In short, it is a tough task to obtain the ADME information of Chinese medicine, especially in the case of a clinical study. We searched several scientific databases, including Pubmed, ACS, ScienceDirect, Springer, Wiley, etc., by using "Chinese medicine" and "in vivo metabolism" as keywords. By summarizing the current reports as well as our recent progress in this field, this review aims to summarize current research methods and strategies for ADME study of TCM based on high-resolution mass spectrometry-based data acquisition and data mining technology which is an important approach but has not been systematically reviewed. With the development of various hybrid tandem high-resolution mass spectrometry (Q-TOF, LTQ FT, Q-Exactive), liquid chromatography-high resolution mass spectrometry (LC-HRMS) has become the mainstream method in studying ADME process of TCM. This review aims to comprehensively summarize current research technologies and strategies based on high-resolution mass spectrometry, with emphasis on the following three aspects: (1) comprehensive and automatic acquisition technologies for the analysis of in vivo TCM components (i.e., BE-DDA); (2) quick and comprehensive identification techniques for analyzing in vivo chemical substances and metabolites of TCM (i.e., PATBS or metabolomic analysis); (3) efficient correlation determination between in vivo or in vitro compounds and their metabolic transformation (i.e., MTSF). To the best of our knowledge, this is a pioneering review for systematically summarizing the analysis methods and strategies of ADME in TCM, which can help understand the whole ADME process, therapeutic molecular basis, or toxic substances of TCM. Furthermore, this review can also provide a feasible strategy to screen out PK/TK markers of TCM, while this information can be helpful to elucidate the pharmacodynamics or toxicity mechanisms of Chinese medicines and be useful in their future drug development. At the same time, we also hope that this review can provide ideas for further improvement of TCM analysis methods and help rational clinical use of TCM and the development of new drugs.

Improved structural annotation of triterpene metabolites of traditional Chinese medicine in vivo based on quantitative structure-retention relationships combined with characteristic ions: Alismatis Rhizoma as an example

As a fast, sensitive and selective method, liquid chromatography-tandem high-resolution mass spectrometry (LC-HRMS) has been used for studying the in vivo metabolism of traditional Chinese medicine (TCM). However, the rapid discovery and characterization of metabolites, especially isomers, remain challenging due to their complexity and low concentration in vivo. This study proposed a strategy to improve the structural annotation of prototypes and metabolites through characteristic ions and a quantitative structure-retention relationship (QSRR) model, and Alismatis Rhizoma (AR) triterpenes were used as an example. This strategy consists of four steps. First, based on an in-house database reported previously, prototypes and metabolites in biosamples were preliminarily identified. Second, the candidate structures of prototype compounds and metabolites were determined by characteristic ions, databases or potential metabolic pathways. Then, a QSRR model was established to predict the retention times of the proposed structure. Finally, the structures of unknown prototypes and metabolites were determined by matching experimental retention times with the predicted values. The QSRR model built by the genetic algorithm-multiple linear regression (GA-MLR) has excellent regression correlation (R2 = 0.9966). Based on this strategy, a total of 118 compounds were identified, including 47 prototypes and 71 metabolites, among which 61 unknown compounds were reasonably characterized. The typical compound identified by this strategy was successfully validated using a triterpene standard. This strategy can improve the annotation confidence of in vivo metabolites of TCM and facilitate further pharmacological research.

Characterisation of hederacoside C metabolites using ultrahigh-performance liquid chromatography quadrupole Orbitrap mass spectrometry based on automatic fragment ion search.

Hederacoside C (HDC) is a bioactive natural triterpenoid saponins constituent originating from traditional Chinese medicines, playing an important role in the treatment of acute respiratory infections and chronic inflammatory bronchitis. Meanwhile, it is recognised by Korea as a botanical drug. In order to develop an integrated template approach to analysing screening and identification of the metabolites of traditional Chinese medicines. This study will provide available information for further pharmaceutical studies of HDC and other triterpene saponins. An analysis strategy based on ultrahigh-performance liquid chromatography quadrupole Orbitrap mass spectrometry (UHPLC-Q-Orbitrap-MS) technique combined with automatic fragment ion search (FISh) was firstly exploited for the characterisation metabolites of HDC in vivo and in vitro. Accurate full mass scan combined with an on-line FISh annotations approach was developed to rapidly identify all the potential metabolites of HDC. Furthermore, FISh accurately located the structure of the target compound in a large number of mass spectral data. A total of 34 metabolites were detected and tentatively identified by analysing comprehensive biological samples. The results clearly demonstrated that HDC underwent general metabolic reactions including dealkylation, reduction, oxidation, desaturation, dehydration, cysteine conjugation, GSH conjugation, taurine conjugation, and glycine conjugation to produce 26 phase I and eight phase II metabolites. In the present study, UHPLC-Q-Exactive Orbitrap MS technique combined with FISh provided a rapid and efficient platform to characterise metabolites of HDC in vivo and in vitro. The proposed method could develop an integrated template approach to screen and identify the constituents and metabolites of traditional Chinese medicines.

Comparative analysis of constitutes and metabolites for traditional Chinese medicine using IDA and SWATH data acquisition modes on LC-Q-TOF MS

Identification of components and metabolites of traditional Chinese medicines (TCMs) employing liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-Q-TOF MS) techniques with information-dependent acquisition (IDA) approaches is increasingly frequent. A current drawback of IDA-MS is that the complexity of a sample might prevent important compounds from being triggered in IDA settings. Sequential window acquisition of all theoretical fragment-ion spectra (SWATH) is a data-independent acquisition (DIA) method where the instrument deterministically fragments all precursor ions within the predefined m/z range in a systematic and unbiased fashion. Herein, the superiority of SWATH on the detection of TCMs’ components was firstly investigated by comparing the detection efficiency of SWATH-MS and IDA-MS data acquisition modes, and sanguisorbin extract was used as a mode TCM. After optimizing the setting parameters of SWATH, rolling collision energy (CE) and variable Q1 isolation windows were found to be more efficient for sanguisorbin identification than the fixed CE and fixed Q1 isolation window. More importantly, the qualitative efficiency of SWATH-MS on sanguisorbins was found significantly higher than that of IDA-MS data acquisition. In IDA mode, 18 kinds of sanguisorbins were detected in sanguisorbin extract. A total of 47 sanguisorbins were detected when SWATH-MS was used under rolling CE and flexible Q1 isolation window modes. Besides, 26 metabolites of sanguisorbins were identified in rat plasma, and their metabolic pathways could be deduced as decarbonylation, oxidization, reduction, methylation, and glucuronidation according to their fragmental ions acquired in SWATH-MS mode. Thus, SWATH-MS data acquisition could provide more comprehensive information for the component and metabolite identification for TCMs than IDA-MS.

Trace determination and characterization of ginsenosides in rat plasma through magnetic dispersive solid-phase extraction based on core-shell polydopamine-coated magnetic nanoparticles

Enrichment of trace bioactive constituents and metabolites from complex biological samples is challenging. This study presented a one-pot synthesis of magnetic polydopamine nanoparticles (Fe3O4@SiO2@PDA NPs) with multiple recognition sites for the magnetic dispersive solid-phase extraction (MDSPE) of ginsenosides from rat plasma treated with white ginseng. The extracted ginsenosides were characterized by combining an ultra-high-performance liquid chromatography coupled to a high-resolution mass spectrometry with supplemental UNIFI libraries. Response surface methodology was statistically used to optimize the extraction procedure of the ginsenosides. The reusability of Fe3O4@SiO2@PDA NPs was also examined and the results showed that the recovery rate exceeded 80% after recycling 6 times. Furthermore, the proposed method showed greater enrichment efficiency and could rapidly determine and characterize 23 ginsenoside prototypes and metabolites from plasma. In comparison, conventional methanol method can only detect 8 ginsenosides from the same plasma samples. The proposed approach can provide methodological reference for the trace determination and characterization of different bioactive ingredients and metabolites of traditional Chinese medicines and food.

Metabolite analysis of Huangqi Jianzhong Tang using UHPLC-Q-Exactive-MS in rat plasma

Huangqi Jianzhong Tang (HQJZ), a famous traditional Chinese medicine (TCM) formula, is widely used in the treatment of gastrointestinal diseases in China. However, its active substances remain unclear due to the lack of systemic metabolism studies. In this study, an ultra-high performance liquid chromatography coupled with quadrupole-Exactive mass spectrometry (UHPLC-Q-Exactive-MS) was used to detect and identify its metabolites in rat plasma after oral administration of HQJZ coupled with Compound Discover 2.0 software. The possible metabolic pathways were calculated and deduced based on 71 previous detected prototype compounds. As results, a total of 95 compounds were identified in rat plasma, including 11 prototype compounds and 84 related metabolites. Among them, flavonoids and saponins were the main ingredients in vivo. Meanwhile, it was speculated that HQJZ experienced oxidation, reduction, acetylation, methylation, and glucuronic acid reaction in rat plasma. This study established a reliable method for the detection of prototype components and metabolites of TCMs, which could provide helpful information for further research into the active substances of HQJZ.

Enhanced identification of the in vivo metabolites of Ecliptae Herba in rat plasma by integrating untargeted data-dependent MS2 and predictive multiple reaction monitoring-information dependent acquisition-enhanced product ion scan

Detection and identification of the in vivo metabolites of traditional Chinese medicine by untargeted profiling strategies are often confronted with severe interference from complex endogenous substances. Here we developed an integral approach, by combining untargeted data-dependent MS2 (dd-MS2) of Q-Orbitrap mass spectrometry and predictive multiple reaction monitoring-information dependent acquisition-enhanced product ion scan (pMRM-IDA-EPI) of triple quadrupole-linear ion trap (QTRAP) mass spectrometry, aiming to detect and identify more extensive metabolites in bio-samples. Ecliptae Herba (EH) is a widely consumed medicinal herb with the effects of nourishing liver/kidney, but its metabolites in vivo have not been fully elucidated. Firstly, after UHPLC separation on an HSS T3 column, chemical fingerprinting of 70% ethanolic extract of EH was performed by untargeted dd-MS2 in negative ion mode. We could characterize 41 compounds from EH, and 24 were detectable in the plasma of rats (prototypes) after oral administration of EH extract (1 g/kg). Secondly, using echinocystic acid (triterpene), wedelolactone (coumarin), and apigenin (flavonoid) as the different parent templates, an MRM list containing 150 predicted ion-pairs was established to enhance MS2 scan by pMRM-IDA-EPI, which enabled the primary identification of up to 200 metabolites. The biotransformations mainly involve oxidation, hydrogenation, methylation, glucuronidation, sulfonation etc. Thirdly, the rat plasma samples obtained after oral administration of three pure compounds (echinocystic acid, wedelolactone and apigenin) were analyzed to verify the reliability of metabolites identification, and 11, 4, and 10 metabolites were found individually. This is the first comprehensive research on the metabolism of EH in vivo.

Data fusion and multi-components quantitative analysis for identification and quality evaluation of Gentiana rigescens from different geographical origins

The accumulation of secondary metabolites of traditional Chinese medicine (TCM) is closely related to its origins. The identification of origins and multi-components quantitative evaluation are of great significance to ensure the quality of medicinal materials. In this study, the identification of Gentiana rigescens from different geographical origins was conducted by data fusion of Fourier transform infrared (FTIR) spectroscopy and high performance liquid chromatography (HPLC) in combination of partial least squares discriminant analysis; meanwhile quantitative analysis of index components was conducted to provide an accurate and comprehensive identification and quality evaluation strategy for selecting the best production areas of G. rigescens. In this study, the FTIR and HPLC information of 169 G. rigescens samples from Yunnan, Sichuan, Guangxi and Guizhou Provinces were collected. The raw infrared spectra were pre-treated by multiplicative scatter correction, standard normal variate (SNV) and Savitzky-Golay (SG) derivative. Then the performances of FTIR, HPLC, and low-level data fusion and mid-level data fusion for identification were compared, and the contents of gentiopicroside, swertiamarin, loganic acid and sweroside were determined by HPLC. The results showed that the FTIR spectra of G. rigescens from different geographical origins were different, and the best pre-treatment method was SNV+SG-derivative (second derivative, 15 as the window parameter, and 2 as the polynomial order). The results showed that the accuracy rate of low- and mid-level data fusion (96.43%) in prediction set was higher than that of FTIR and HPLC (94.64%) in prediction set. In addition, the accuracy of low-level data fusion (100%) in the training set was higher than that of mid-level data fusion (99.12%) in training set. The contents of the iridoid glycosides in Yunnan were the highest among different provinces. The average content of gentiopicroside, as a bioactive marker in Chinese pharmacopoeia, was 47.40 mg·g⁻¹, and the maximum was 79.83 mg·g⁻¹. The contents of loganic acid, sweroside and gentiopicroside in Yunnan were significantly different from other provinces (P<0.05). In comparison of total content of iridoid glycosides in G. rigescens with different geographical origins in Yunnan, it was found that the amount of iridoid glycosides was higher in Eryuan Dali (68.59 mg·g⁻¹) and Yulong Lijiang (66.68 mg·g⁻¹), significantly higher than that in Wuding Chuxiong (52.99 mg·g⁻¹), Chengjiang Yuxi (52.29 mg·g⁻¹) and Xundian Kunming (46.71 mg·g⁻¹) (P<0.05), so these two places can be used as a reference region for screening cultivation and excellent germplasm resources of G. rigescens. A comprehensive and accurate method was established by data fusion of HPLC-FTIR and quantitative analysis of HPLC for identification and quality evaluation of G. rigescens, which could provide a support for the development and utilization of G. rigescens.

Identification of absorbed constituents and in vivo metabolites in rats after oral administration of Physalis alkekengi var. franchetii by ultra-high-pressure liquid chromatography quadrupole time-of-flight mass spectrometry.

The calyces of Physalis alkekengi var. franchetii (Chinese Lantern, JDL) are well-known as traditional Chinese medicine owing to its various therapeutic effects. However, the bioactive constituents responsible for the pharmacological effects of JDL and their metabolites in vivo are still unclear to date. In this paper, an ultra-high-pressure liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC/Q-TOF-MS/MS) method was established to identify absorbed constituents and in vivo metabolites in rat biological fluids after oral administration of JDL. Based on the proposed strategy, 33 compounds were observed in dosed rat biosamples. Twelve of 33 compounds were indicated as prototype components of JDL, and 21 compounds were predicted to be metabolites of JDL. Finally, the metabolic pathways were proposed, which were glucuronidation, sulfation, methylation and dehydroxylation for flavonoid constituents and sulfonation and hydroxylation for physalin consitituents. This is the first systematic study on the absorbed constituents and metabolic profiling of JDL and will provide a useful template for screening and characterizing the ingredients and metabolites of traditional Chinese medicine.

High-throughput LC-MS method for the rapid characterization of multiple chemical constituents and metabolites of Da-Bu-Yin-Wan.

Traditional Chinese medicine is the clinical experience accumulated by Chinese people against diseases. Da-Bu-Yin-Wan is a famous traditional Chinese medicine formula consisting of Phellodendri amurensis Rupr., Anemarrhenae asphodeloides Bge., Radix Rehmanniae Preparata and Chinemys reevesii. In this study, ultra high performance liquid chromatography with electrospray ionization quadrupole time-of-flight high-definition mass spectrometry with the control software of Masslynx (V4.1) was established for comprehensive screening and identification of the chemical constituents and serum metabolites of Da-Bu-Yin-Wan in vivo and in vitro. Consequently, 70 peaks in the methanol extract from Da-Bu-Yin-Wan and 38 peaks absorbed into rat blood were characterized. The 70 constituents in vitro included alkaloids, flavonoids, polysaccharide, limonoids, flavonoid, etc. And the 38 constituents consist of 22 absorbed prototypes and 16 metabolites of Da-Bu-Yin-Wan absorbed in vivo. We fully clarified the chemical constituents of Da-Bu-Yin-Wan and provided a scientific strategy for the screening and characterization of the chemical constituents and metabolites of traditional Chinese medicine in vitro and in vivo.

A pre-classification strategy based on UPLC-Triple-TOF/MS for metabolic screening and identification of Radix glehniae in rats.

Traditional Chinese Medicines (TCMs) have gained increasing popularity in modern society. However, the profiles of TCMs in vivo are still unclear owing to their complexity and lowlevel in vivo. In this study, UPLC-Triple-TOF techniques were employed for data acquiring, and a novel pre-classification strategy was developed to rapidly and systematically screen and identify the absorbed constituents and metabolites of TCMs in vivo using Radix glehniae as the research object. In this strategy, pre-classification for absorbed constituents was first performed according to the similarity of their structures. Then representative constituents were elected from every class and analyzed separately to screen non-target absorbed constituents and metabolites in biosamples. This pre-classification strategy is basing on target (known) constituents to screen non-target (unknown) constituents from the massive data acquired by mass spectrometry. Finally, the screened candidate compounds were interpreted and identified based ona predicted metabolic pathway, well - studied fragmentation rules,a predicted metabolic pathway, polarity and retention time of the compounds, and some related literature. With this method, a total of 111 absorbed constituents and metabolites of Radix glehniae in rats' urine, plasma, and bile samples were screened and identified or tentatively characterized successfully. This strategy provides an idea for the screening and identification of the metabolites of other TCMs.

Characterization of metabolites in rats after intravenous administration of salvianolic acid for injection by ultra-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry.

It is an essential requirement to clarify the metabolites of traditional Chinese medicine (TCM) injections, which contain numerous ingredients, to assess their safe and effective use in clinic. Salvianolic acid for injection (SAFI), made from hydrophilic phenolic acids in Salvia miltiorrhiza Bunge, has been widely used for the treatment of cerebrovascular diseases, but information on its metabolites in vivo is still lacking. In the present study, we aimed to holistically characterize the metabolites of the main active ingredients in rat plasma, bile, urine and feces following intravenous administration of SAFI. An ultra-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UPLC/Q-TOF-MS) method was developed. Combining information on retention behaviors, multistage mass spectra and literature data, a total of eight prototypes and 52 metabolites were tentatively characterized. Metabolites originated from rosmarinic acid and salvianolic acid B comprised the majority of identified compounds. Meanwhile, four metabolites derived from salvianolic acid D and five from salvianolic acid B are reported for the first time. This study revealed that methylation, sulfation and glucuronidation were the major metabolic pathways of phenolic acids in SAFI in vivo. Furthermore, the developed UPLC/Q-TOF-MS method could also benefit the metabolic investigation of extracts and preparations in TCM with hydrophilic ingredients. Copyright © 2016 John Wiley & Sons, Ltd.

The profiling and identification of the absorbed constituents and metabolites of Paeoniae Radix Rubra decoction in rat plasma and urine by the HPLC–DAD–ESI-IT-TOF-MSn technique: A novel strategy for the systematic screening and identification of absorbed constituents and metabolites from traditional Chinese medicines

Paeoniae Radix Rubra (PRR, the dried roots of Paeonia lactiflora) is a commonly used traditional Chinese medicine (TCM). A clear understanding of the absorption and metabolism of TCMs is very important in their rational clinical use and pharmacological research. To find more of the absorbed constituents and metabolites of TCMs, a novel strategy was proposed. This strategy was characterized by the following: the establishment and utilization of the databases of parent compounds, known metabolites and characteristic neutral losses; the comparison of base peak chromatograms and ClogPs; and the use of the HPLC–DAD–ESI-IT-TOF-MSn technique. This strategy was first applied to screen and identify the absorbed constituents and metabolites of PRR decoction and paeoniflorin in rats. In total, 13 new absorbed constituents and 90 new metabolites of PRR decoction were detected. Among these metabolites, the structures of 70 metabolites were identified, and the conjugation types and structure skeletons of the other 20 metabolites were preliminarily determined. Moreover, 35 new metabolites of some constituents of PRR, i.e., 22 new metabolites of paeoniflorin, 10 new metabolites of gallic acid-related compounds, 1 new metabolite of (epi)catechin-related compounds, and 2 new metabolites of other compounds, were reported for the first time. The results also indicated that (epi)catechin-related compounds, gallic acid-related compounds and paeoniflorin were the main precursors of these metabolites. Phase I reactions (dehydroxylation, decarboxylation, dehydrogenation) and phase II reactions (sulfation, glucuronidation and methylation) were observed as the main metabolic pathways of PRR. According to the literature, the 11 absorbed constituents and 11 metabolites have various bioactivities. This study is the first to explore the absorption and metabolism of PRR decoction, and the result also is a notable improvement in the discovery of paeoniflorin metabolites in vivo. These findings enhance our understanding of the metabolism and Effective forms (the truly active structures) of PRR decoction and paeoniflorin.