The therapeutic effect of wine-processed Corni Fructus on chronic renal failure in rats through the interference with the LPS/IL-1-mediated inhibition of RXR function.

ETHNOPHARMACOLOGICAL RELEVANCE: Corni Fructus, derived from the fruit of Cornus officinalis Sieb. et Zucc, is a widely utilized traditional Chinese medicine (TCM) with established efficacy in the treatment of diverse chronic kidney diseases. Crude Corni Fructus (CCF) and wine-processed Corni Fructus (WCF) are the main processed forms of Corni Fructus. Generally, TCM is often used after processing (paozhi). Despite the extensive use of processed TCM, the underlying mechanisms of processing for most TCMs have been unclear so far. AIM OF THE STUDY: In this study, an integrated strategy combined renal metabolomics with proteomics was established and investigated the potential processing mechanisms of CCF or WCF on chronic renal failure (CRF) models. MATERIALS AND METHODS: Firstly, the differences in biochemical parameters and pathological histology were compared to evaluate the effects of CCF and WCF on CRF model rats. Then, the tissue differential metabolites and proteins between CCF and WCF on CRF model rats were screened based on metabolomics and proteomics technology. Concurrently, a combined approach of metabolomics and proteomics was employed to investigate the underlying mechanisms associated with these marker metabolic products and proteins. RESULTS: Compared to the MG group, there were 27 distinct metabolites and 143 different proteins observed in the CCF-treatment group, while the WCF-treatment group exhibited 24 distinct metabolites and 379 different proteins. Further, the integration interactions analysis of the protein and lipid metabolite revealed that both WCF and CCF improved tryptophan degradation and LPS/IL-1-mediated inhibition of RXR function. WCF inhibited RXR function more than CCF via the modulation of LPS/IL-1 in the CRF model. Experimental results were validated by qRT-PCR and western blotting. Notably, the gene expression amount and protein levels of FMO3 and CYP2E1 among 8 genes influenced by WCF were higher compared to CCF. CONCLUSION: The results of this study provide a theoretical basis for further study of Corni Fructus with different processing techniques in CRF. The findings also offer guidance for investigating the mechanism of action of herbal medicines in diseases employing diverse processing techniques.

Systematically uncovering the absorbed effective substances of Radix Scutellaria-licorice drug pair in rat plasma against COVID-19 using a combined UHPLC-Q-TOF-MS analysis and target network pharmacology.

Radix Scutellaria-Licorice drug pair (RSLDP), a frequently used herbal pair with the effect of clearing heat and detoxifying, is the commonly employed drug pair in TCM prescriptions for the treatment of COVID-19. Until now, the metabolism feature and anti-COVID-19 mechanism of RSLDP have not been fully elucidated. In this study, a sensitive and rapid method was developed for the separation and identification of the absorbed constituents of RSLDP in the rat plasma by UHPLC-QTOF-MS. Additionally, we optimized the conventional methodologies of network pharmacology and proposed a new concept called target network pharmacology (T-NP). It used the absorbed constituents and the corresponding targets to generate a compound-target network, and compared to conventional network pharmacology, it could reduce false-positive results. A total of 85 absorbed constituents were identified or tentatively characterized in dosed plasma, including 32 components in the group of Radix Scutellaria, 27 components in the group of Licorice, and 65 components in the group of RSLDP. The results showed that the compatibility of Radix Scutellaria and Licorice increased the number of components in vivo. We found that 106 potential targets among the 61 active compounds in RSLDP were related to COVID-19. And 12 targets (STAT3, AKT1, EGFR, HSP9AA1, MAPK3, JUN, IL6, VEGFA, TNF, IL2, RELA, and STAT1) could be core targets for RSLDP in treating COVID-19. Results from these targets indicate that RSLDP treatment of COVID-19 mainly involves response to chemical stress, response to oxygenates, positive regulation of cytokines, PI3K-Akt signaling pathway, AGE-RAGE signaling pathway for diabetic complications, virus-related pathways such as novel coronavirus and human cytomegalovirus infection, inflammatory immune-related pathways, and so on. The metabolism feature of RSLDP in vivo was systematically uncovered. The combined use of the T-NP method could discover potential drug targets and disclose the biological processes of RSLDP, which will clarify the potential mechanisms of RSLDP in the treatment of COVID-19.

Integrated metabolomics, network pharmacology, and molecular docking to reveal the mechanisms of Isodon excisoides against drug-induced liver injury.

Isodon excisoides (Y.Z.Sun ex C.H.Hu) H. Hara has been often used to treat liver diseases in folk medicine. However, the potential hepatoprotective mechanism of I. excisoides remains unclear. In this study, the mechanism of I. excisoides in alleviating drug-induced liver injury (DILI) was explored using a strategy combining metabolomics with network pharmacology for the first time. First, serum metabolomics was applied to identify differential metabolites and enrich metabolic pathways. The potential targets of I. excisoides for the treatment of DILI were investigated by network pharmacology. Subsequently, a comprehensive network of network pharmacology and metabolomics was established to find the key genes. Finally, molecular docking technology was used to further verify the key targets. As a result, four key genes including TYMS, IMPDH2, DHODH, and ASAH1 were identified. The proteins produced by these genes had high affinity with the corresponding diterpenoids. These results indicate that the components of I. excisoides play a liver-protective role by affecting the aforesaid key genes and key proteins. Our results offer a novel strategy for determining the pharmacological effects and potential targets of natural compounds.

Study on mechanism of hepatoprotective effect of Chrysanthemum morifolium Ramat. based on metabolomics with network analysis and network pharmacology.

Hangju (HJ), the dried flower heads of Chrysanthemum morifolium Ramat., has a significant hepatoprotective effect. However, its underlying protection mechanism against acute liver injury (ALI) has been unclear. An integrated strategy based on metabolomics with network analysis and network pharmacology was developed to explore the potential molecular mechanism of HJ on ALI protection. Firstly, differential endogenous metabolites were screened and identified by metabolomics approach and metabolic pathway analysis was performed by MetaboAnalyst. Secondly, marker metabolites were used to construct metabolite-response-enzyme-gene networks and discover hub metabolites and potential gene targets in network analysis. Thirdly, hub genes through the protein-protein interaction (PPI) network were acquired by the aid of network pharmacology. Finally, the gene targets were taken to intersect with the relevant active ingredients for validation by molecular docking. In total, 48 flavonoids were identified in HJ, which were associated with 8 potential therapeutic targets in network pharmacological analysis. Biochemistry and histopathology analysis demonstrated that HJ exerted hepatoprotective effects. 28 biomarkers were successfully identified as possible biomarkers for the prevention of ALI. The sphingolipid metabolic pathway and the glycerophospholipid metabolic pathway was considered a crucial signaling pathway by Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. In addition, phosphatidylcholine and sphingomyelin were considered as hub metabolites. Twelve enzymes and 38 genes were considered as potential targets in the network analysis. Based on the combined analysis above, HJ was shown to modulate 2 key upstream targets, including PLA2G2A and PLA2G4A. Molecular docking showed that active compounds of HJ had high binding affinity with these key targets. In conclusion, the flavonoid components of HJ can inhibit PLA2 and regulate glycerophospholipid and sphingolipid metabolism pathway to delay the pathological process of ALI, which may be a potential mechanism of HJ against ALI.

An integrated strategy to explore the wine-processed mechanism of Corni Fructus on chronic renal failure based on metabolomics, network analysis and bioinformatics approaches.

OBJECTIVES: Corni Fructus is one of the most famous traditional Chinese medicines (TCMs) for the treatment of various chronic kidney diseases. Wine-processed Corni Fructus (WCF) is the main processed form of Crude Corni Fructus (CCF). In this study, potential mechanisms of action of CCF and WCF on chronic renal failure (CRF) model were developed to explore wine-processed mechanism of Corni Fructus. METHODS: An integrated strategy combining metabolomics, network analysis and bioinformatics analysis has been established to investigate the therapeutic mechanisms of WCF and CCF in rats with CRF. KEY FINDINGS: The histopathological results showed that both WCF and CCF improved kidney injury and dysfunction of CRF rats, but WCF was more effective than CCF. Metabolic pathway analysis indicated that 24 metabolites and 5 major disturbed pathways associated with CCF, while WCF regulated 27 metabolites and 2 metabolic pathways. Bioinformatic analysis and network analysis revealed that 8 genes and 7 genes were regulated by CCF and WCF on CRF rats, respectively. The quantitative real-time polymerase chain reaction experiments verified the regulatory ability of CCF and WCF on the expression of 4 genes. CONCLUSIONS: An integrated strategy combined metabolomics, network analysis and bioinformatics was established to provide valuable holistic insight to explore the processing mechanism of TCMs.

Investigation of pharmacodynamic material basis of Anemarrhenae Rhizoma and its processed products based on plant metabolomics and molecular docking technology.

RATIONALE: Anemarrhenae Rhizoma (AR) has been an often used traditional Chinese medicine (TCM) for a long time. Its salt-processed form is one of the most common application forms. Modern pharmacological research has shown that the salt-processed product has various significantly enhanced pharmacological activities. However, the pharmacodynamic material basis of this change is not yet known. The aim of this study was to develop a strategy to screen pharmacodynamic substances in AR and salt-processed AR (SAR). METHODS: An integrated strategy combining plant metabolomics with molecular docking technology was established to screen pharmacodynamic substances. The plant metabolomics analysis was performed to select the chemical markers between AR and SAR. Then, molecular docking technology was applied to explore the relationship between chemical markers and diabetes targets (α-glucosidase). Finally, potential quality control markers were screened. RESULTS: There were significant differences in the quantification of nine steroidal saponins between AR and SAR. The results of plant metabolomics analysis showed a quite clear discrimination including 29 chemical markers between AR and SAR. Taking the hypoglycemic activity into consideration, 16 steroidal saponins were selected as potential quality markers. CONCLUSIONS: The developed method not only supplied an optional solution to search for pharmacophores in AR and SAR, but also provided a foundation for the study of the differential components and pharmacodynamics in various processed products of TCMs.

Characterization of Fritillariae cirrhosae bulbus from multiple sources by potential Q-marker based on metabolomics and network pharmacology.

RATIONALE: Fritillaria cirrhosae bulbus (BFC), a typical traditional Chinese medicine with multiple botanical sources, has been used for relieving cough and reducing sputum. Studies have shown that there were obvious differences in the chemical compositions and clinical efficacy of different sources of BFC. How to characterise BFC from botanical sources accurately and quickly is vital for drug quality evaluation and clinical applications. METHODS: In the present study, an integrated strategy of plant metabolomics combined with the target network pharmacology was developed to characterise BFC. Plant metabolomics analysis was performed to screen out the chemical markers of six species of BFC. Then, target network pharmacology was applied to explore the relationship between chemical markers and related diseases. Finally, potential Q-markers for species characterization were selected by combined analysis of plant metabolomics and the target network pharmacology. RESULTS: A total of 67 Fritillaria alkaloid compounds were identified. Six species showed clear characterization by multivariate statistical analysis, resulting in 12 chemical markers. Meanwhile, a total of nine components related to asthma were screened out based on the target network pharmacology. Taking content difference and pharmacological activity into consideration, nine constituents were selected as potential Q-markers. CONCLUSION: The method developed provided not only a standard protocol for characterising different species of BFC directly, but also an effective approach for multisource medicines discrimination.

A holistic comparison of flavor signature and chemical profile in different harvesting periods of Chrysanthemum morifolium Ramat. based on metabolomics combined with bioinformatics and molecular docking strategy.

Taiju and Duoju are products of Hangbaiju (HJ) obtained during different collection periods, and they have been commonly used as ingredients in tea beverages and dietary traditional Chinese medicine. This study reports an integrated strategy based on metabolomics, bioinformatics and molecular docking to further explore the effect of the harvesting period on the metabolic profile and clinical efficacy of HJ. Firstly, gas chromatography-mass spectrometry (GC-MS) and ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) were employed for non-targeted metabolomics profiling of essential oils and flavonoids. A sequential window acquisition of all theoretical fragment-ion spectra information-dependent acquisition (SWATH-IDA) bi-directionally verified (SIBDV) method was developed that integrates the advantages of both SWATH and IDA in characterizing flavonoids. Chemometric methods were then used to screen potential chemical markers. Furthermore, HJ is effective in hepatoprotective functions. Therefore, hepatocellular-carcinoma-related differentially expressed genes were obtained using bioinformatics, and the corresponding proteins were molecularly docked with diagnostic chemical markers. In total, 78 volatile oils and 63 flavonoids were tentatively identified. The results allowed the selection of 11 metabolites (5 volatile oils and 6 flavonoids), which are nominated as novel markers for material authentication of Taiju and Duoju. Additionally, two proteins associated with hepatoma were screened using bioinformatics. All six flavonoid markers with binding energies of <-5 kcal mol-1 were considered to be anti-hepatoma biomarkers. Noticeably, in Taiju, the content of hydroxygenkwanin showed a downward trend, but the content of the other five flavonoids and the five flavored volatile difference compounds had an upward trend. This bestows a unique flavor profile on Taiju, leading to differences in sensory aroma and clinical efficacy in Taiju and Duoju. In conclusion, the transformation of secondary metabolites was the dominant trend during HJ growth. These findings lay the foundation for food development and distinguishing clinical applications.

Novel insight into the mechanism underlying synergistic cytotoxicity from two components in 5-Fluorouracil-phenylalanine co-crystal based on cell metabolomics.

Co-crystallization of active pharmaceutical ingredients (API) with co-formers can induce synergistic effects on cytotoxicity; however, the underlying mechanism is unclear. Here, cell metabolomics was used to gain insight into the mechanisms of synergistic effect from API and co-former in co-crystal. The 5-Fluorouracil-phenylalanine co-crystal system was selected as the model owing to the apparent difference of cytotoxicity occurring between co-crystal and physical mixture of two components (PM). The cytotoxicity of 5-FU, PM and co-crystal on B16 cells were evaluated by MTT assay. Based on the IC50 values from MTT assays, the cytotoxicity mechanism of 5-FU, PM and co-crystal was evaluated using a comprehensive non-targeted metabolomics strategy based on multivariate data analysis and statistics using UHPLC-Q-TOF-MS/MS platform with IDA data acquisition. Co-crystal showed higher cytotoxicity than PM against B16 cells. In the cell metabolomics study, a total of 12 differential metabolites were found. Pathway analysis indicated that differences in purine and glycerophospholipid metabolism occurred between PM and co-crystal. The downregulated deoxyguanosine diphosphate and adenosine diphosphate in the purine metabolism and downregulated L-glycerophosphocholine and upregulated C16-dihydroceramide in the glycerophospholipid metabolism were associated with cellular antiproliferation and apoptosis, which directly influenced the cytotoxicity. Cell metabolomics was used to investigate the cytotoxicity mechanism of the pharmaceutical co-crystal, providing an effective and innovative method for clarifying the synergistic mechanism of API and CCF in co-crystal.

An integrated strategy to reveal the potential anti-asthma mechanism of peimine by metabolite profiling, network pharmacology, and molecular docking.

Peimine, one of the major quality markers in Fritillaria Cirrhosae Bulbus, was expected to become a new anti-asthma drug. However, its metabolic profiles and anti-asthma mechanism have not been clarified previously. In this study, a method was developed for the detection of peimine metabolites in vitro by ultra-high-performance liquid chromatography coupled with hybrid triple quadrupole time-of-flight mass spectrometry. The potential anti-asthma mechanism was predicted by an integrated analysis of network pharmacology and molecular docking. A total of 19 metabolites were identified with the aid of software and molecular networking. The metabolic profiles of peimine elucidated that the metabolism was a multi-pathway process with characteristics of species difference. The network pharmacology results showed that peimine and its metabolites could regulate multiple asthma-related targets. The above targets were involved in various regulatory pathways linked to asthma. Moreover, the results of molecular docking showed that both peimine and its metabolites had a certain affinity with the ß2 adrenergic receptor. The results provided not only important references to understand the metabolism and pharmacodynamic changes of peimine in vitro, but also supporting data for further pharmacological evaluation. It also provided a new perspective for clarifying the functional changes of traditional Chinese medicine in vitro.

Quality control of Zingiberis Rhizoma and its processed products by UHPLC-Q-TOF/MS-based non-targeted metabonomics combining with SIBDV method.

Zingiberis Rhizoma (ZR) is a homologous plant with pungent tastes and aromas, which has unique nutritional value and tremendous application potentiality. Zingiberis Rhizoma Praeparatum (ZRP) and Carbonised Ginger (CG) are processed products of ZR through different processing methods, and they are commonly used ingredients in food supplements. This study used ZR, ZRP and CG from different batches to further understand composition differences after processing. Additionally, we performed non-targeted metabolomics-based profiling of gingerols by ultra-high-performance liquid chromatography coupled with hybrid triple quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) in combination with multivariate analysis and compounds identification. In which, we developed a comprehensive SWATH-IDA bi-directionally verified (SIBDV) method integrating the advantages of Sequential Windowed Acquisition of all Theoretical fragment ions (SWATHTM) and traditional information-dependent acquisition (IDA) mode for characterization of gingerols. Potential chemical markers were selected by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) of chemometrics methods. After that, the threshold variable importance in projection (VIP) value and P value were employed to screen the valuable MS features for discriminating ZR, ZRP and CG. In total, 59 gingerols in the different samples were structurally identified. Results allowed the selection of 33 gingerols, which are nominated as novel markers for materials authentication in ZR, ZRP and CG. The analysis of the study showed that the content of gingerols showed a downward trend after processing, but shogaols and gingerone compounds had an upward trend, resulting in differences in application and pharmacodynamic efficacy. These findings provide promising perspectives in the quality control of ZR, ZRP and CG, as well as for laying the foundation in food design and development.

A practical technique for rapid characterisation of ent-kaurane diterpenoids in Isodon serra (Maxim.) Hara by UHPLC-Q-TOF-MS/MS.

INTRODUCTION: The diterpenoids are the most important active constituents that contribute to the pharmacological efficacy of Isodon serra (Maxim.) Hara. Clinical studies have revealed that diterpenoids possess multiple features, e.g. antitumour, antitubercular and anti-ischemic activities. Therefore, the identification and detection of diterpenoids may be equally important for understanding the pharmacological basis of diterpenoids and enhancing the product quality control of I. serra. OBJECTIVES: The purpose of this study was to develop a practical analysis approach of rapid characterisation using ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) for the structure characterisation of the ent-kaurane diterpenoids from I. serra. METHODOLOGY: The analytical strategy was as follows: first, ent-kaurane diterpenoids were detected by a novel on-line data acquisition approach, i.e. sequential window acquisition of all theoretical fragment-ion spectra (SWATH). Second, the MS of eight ent-kaurane diterpenoids was explored, and their mass spectrum cleavage pathways were summarised and determined. Finally, the methanol extract of I. serra was studied using SWATH and identified by extracted ion chromatography (XIC). RESULTS: Compared to the traditional information-dependent acquisition (IDA) method, SWATH significantly improved the hit rate of ent-kaurane diterpenoids. With support from UHPLC separation and specific detection by tandem mass spectrometry (MS/MS), 48 ent-kaurane diterpenoids were successfully characterised and classified as ent-kaurane diterpenoids from a complex matrix. CONCLUSIONS: These combined qualitative methods were used to provide a potential approach for the characterisation of traditional Chinese medicine (TCM) and its preparations. Meanwhile, the SWATH provided a novel and reliable method for the structural characterisation of ent-kaurane diterpenoids from other complicated TCMs.

An integrative method based on UHPLC-Q-TOF-MS/MS combined with metabolomics to authenticate Isodon rubescens.

Genuine regional drugs have played a vital role in clinical use for a long time. There are differences in traditional Chinese medicines (TCM) from different regions based on their chemical composition. Differences in chemical composition may lead to deviations in therapeutic effects. To our knowledge, to date, there are no effective methods for distinguishing genuine regional drugs based on the differences in their chemical composition. Therefore, establishing an analytical platform for distinguishing the compounds used in TCM from various geographical locations is essential. In this work, an integrated platform based on UPLC-Q-TOF-MS/MS combined with plant metabolomics approach was established for comprehensively distinguishing genuine regional drugs. Isodon rubescens (Hemsl.) Hara, a widely used herbal medicine of China, was chosen for this study and 24 samples from four geographical locations in China were collected. A total of 60 ent-kaurane diterpenoids were tentatively identified, and then the samples from four geographical origins were distinguished using PCA (principal component analysis) and PLS-DA (partial least squares discrimination analysis). Different compounds were identified among the samples collected from the four geographical locations, and 12 of them were regarded as marker compounds responsible for the distinction. Our study highlights the essence and predictive ability of metabolomics in detecting minute differences in the same varieties of TCM samples based on the levels and compositions of their metabolites. These results showed that the analysis using UHPLC-Q-TOF-MS/MS combined with metabolomics could be applied to distinguish the geographical origins and varieties of TCM.

Integrated strategy for accurately screening biomarkers based on metabolomics coupled with network pharmacology.

Screening diagnostic biomarkers can be challenging due to the complexity of traditional Chinese medicine (TCM) and ambiguous pharmacological mechanisms. In this study, we reported an integrated strategy for accurately screening diagnostic biomarkers based on metabolomics coupled with network pharmacology. First, a feasible pharmacological model was established through systems pharmacology and based on metabolomics-based techniques to explore diagnostic biomarkers. While the components satisfying the q-value < 0.05, fold change (FC) ≥ 1.2 or FC ≤ 0.8, coefficient of variance (CV) ≤ 30%(QC) and the variable importance in the project (VIP) value > 1 are considered to be diagnostic biomarkers. Second, the ingredients were retained only when oral bioavailability (OB), Caco-2 permeability, drug half-life, TPSA and drug likeness (DL) satisfied the criteria (OB ≥ 40%; Caco-2 ≥ -0.4; HL ≥ 4 h; TPSA˂140; DL ≥ 0.18) suggested by the TCMSP database. Moreover, ingredients that exhibit extensive biological activity in TCM are also retained. Third, the effect targets of TCM were screened using the TCMSP database, Swiss Target Prediction and STICH online software. Disease targets were gathered from the therapeutic target database (TTD), PharmGkb and TCMSP database. Hub genes were screened by potential protein-protein interaction (PPI) network pharmacology analysis. Finally, a metabolic network pathway is established between the diagnostic biomarker and the hub gene. In the network analysis of metabolic pathways, most of the genes involved in this pathway are the second-step-obtained hub genes, which can explain the accuracy of the identified biomarkers. The proposed integrated strategy was successfully applied to explore the mechanism of action of Pulsatilla decoction (PD) in the treatment of acute ulcerative colitis (UC). Based on this integrated strategy, 23 potential biomarkers of acute UC treated with PD were identified. In conclusion, the integrated strategy provides novel insights into network pharmacology and metabolomics as effective tools to illuminate the mechanism of action of TCM.

Comparison of triterpene compounds of four botanical parts from Poria cocos (Schw.) wolf using simultaneous qualitative and quantitative method and metabolomics approach.

Poria cocos (Schw.) Wolf (PCW) is a widely used traditional Chinese medicine and dietary supplement. Its four parts including Poriae Cutis (PC), Rubra Poria (RP), White Poria (WP) and Poria cum Radix Pini (PRP) have different pharmacological effects and clinical applications. It is necessary to establish analytical platforms for differentiating the chemical composition of four botanical parts for the rational utilization. We established a simultaneous qualitative and quantitative method based on UHPLC-MS combined metabolomics approach to give an explanation of the distribution of triterpene compounds in four parts. Eight triterpene compounds were determined absolutely and a total of 51 triterpene compounds were tentatively identified in PCW. PC and PRP showed a quite clear discrimination by the principal component analysis (PCA) and orthogonal projections to latent structures-discriminant analysis (OPLS-DA) and twelve differential compounds were found. Four compounds including poricoic acid D, 16α-hydroxydehydrotrametenolic acid, 3-epidehydrotumulosic acid, 25-hydroxypolyporenic acid C were speculated to be related to diuretic effects.

A high-throughput metabolomics approach for the comprehensive differentiation of four Pulsatilla Adans herbs combined with a nontargeted bidirectional screen for rapid identification of triterpenoid saponins.

Pulsatilla Adans (PSA) herbs (Ranunculaceae) have been widely used in traditional medicine in China and other countries. However, the authentication and quality control of PSA herbs have always been a challenging task due to their similar morphological characteristics and the diversity of the multiple components that exist in the complicated matrix. Herein, a novel integrated strategy combining UHPLC/Q-Orbitrap-MS techniques with chemometrics analysis is proposed for the discrimination of PSA materials. We developed a comprehensive method integrating a nontargeted bidirectionally screened (NTBDS) MS data set and a targeted extraction peak area analysis for the characterization of triterpenoid saponins of PSA from different species. After that, partial least-squares discriminant analysis (PLS-DA) was performed on the obtained MS data set and the parameter variable importance for the projection (VIP) value and P value were employed to screen the valuable MS features to discriminate PSA from different species. In addition, the receiver operating characteristic (ROC) curve is used to verify the reliability of MS features. Finally, heatmap visualization was employed to clarify the distribution of the identified triterpenoid saponins, and four medicinal species of PSA were successfully differentiated. Additionally, 34 constituents were reported in PSAs for the first time, 81 triterpenoid saponins were identified as differential components, and 12 chemical ingredients were characterized as potential chemical markers to differentiate the four officinal PSA herbs. This is the first time that the differences in different PSA herbs have been observed systematically at the chemical level. The results suggested that using the identified characteristic components as chemical markers to identify different PSA herbs was effective and viable. This method provides promising perspectives in the analysis and identification of the ingredients of Chinese herbal medicines, and the identification of similar herbs from the same species.

Metabolites identification of (+)-usnic acid in vivo by ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry.

(+)-usnic acid (UA) is an active natural phenolic acid ingredient originating from Chinese traditional Tibetan herb. Usnea acid is expected to become a new agent for anticancer and remarkable antitumor. To reveal its metabolic profile, metabolites identification of UA in vivo was studied using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS/MS) in this present study. The chromatographic separation was performed on a C18 column with a mobile phase consisted of methanol and water with a flow rate of 0.4 ml/min. The mass spectral analysis conducted in a negative electrospray ionization mode combined with information-dependent acquirement technology (IDA) was used to trace all the potential UA metabolites. Several sensitive and specific multiple data-mining techniques especially key product ions (KPIs) filter were applied to hunt and identify metabolites rapidly. As a result, a total of 36 metabolites were detected after oral administration of UA, including 33, 8 and 16 in rat urine, plasma and bile, respectively. These results showed that the probable metabolite pathways of UA were oxidation, reduction, dihydroxylation, glycine conjugation, glucuronide conjugation, N-acetylcysteine conjugation and methylation. It is the first time to elucidate the profile of UA in vivo. These results not only provided the basis of UA pharmacological properties, but also gave the guidance in clinical medication. Moreover, the analysis strategy and methodology proposed in this paper could be widely used in characterization of other phenolic acids metabolites.

Chemical profiling and total quality assessment of Isodon japonica using data-independent acquisition mode combined with superimposed multiple product ion UHPLC-Q-TOF-MS and chemometric analysis.

In this paper, an analytical strategy combined data acquisition with a practical mining strategy aimed at rapid characterization and quantitation of ent-kaurane diterpenoids in Isodon japonica using ultra high-performance liquid chromatography-triple time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS). First, an effective self-built filter template based on drug phase I/II metabolic reaction theory and a components library data set were established. Second, the mass spectra of ent-kaurane diterpenoid standards were studied and their mass spectrum cleavage pathways were summarized. Next, the methanol extract of this herb was studied by data-independent acquisition mode (DIA). With the aid of a self-built filter template, the peaks of ent-kaurane diterpenoids were easily picked out and rapidly classified as ent-kaurane diterpenoids from a complex matrix. A total of 24 ent-kaurane diterpenoids were structurally identified. Meanwhile, the self-built filter template provided a convenient and fast method for the structural characterization and Isodon japonica was used to illustrate this approach for the first time. Furthermore, eight major bioactive diterpenoids were simultaneously quantified by a newly developed superimposed multiple product ion (SMPI) with UPLC-Q-TOF-MS/MS method. Principal component analysis (PCA) revealed significant differences in different batches of samples. These combined qualitative and quantitative methods were used to provide a potential approach for the holistic quality evaluation of traditional Chinese medicine (TCM) and its preparations.

Study on the metabolites of betulinic acid in vivo and in vitro by ultra high performance liquid chromatography with time-of-flight mass spectrometry.

Betulinic acid is a triterpenoid organic acid with remarkable antitumor properties and is naturally present in many fruits, condiments and traditional Chinese medicines. Currently, a strategy was developed for the identification of metabolites following the in vivo and in vitro biotransformation of Betulinic acid with rat intestinal bacteria utilizing ultra high performance liquid chromatography with time-of-flight mass spectrometry with polymeric solid-phase extraction. As a result, 46 metabolites were structurally characterized. The results demonstrated that Betulinic acid is universally metabolized in vivo and in vitro, and Betulinic acid could undergo general metabolic reactions, including oxidation, methylation, desaturation, loss of O and loss of CH2 . Additionally, the main metabolic pathways in vivo and in vitro were determined by calculating the relative content of each metabolite. This is the first study of Betulinic acid metabolism in vivo, whose results provide novel and useful data for better understanding of the safety and efficacy of Betulinic acid.

UPLC-Q-TOF-MS/MS-guided dereplication of Pulsatilla chinensis to identify triterpenoid saponins.

INTRODUCTION: Triterpenoid saponins are the major bioactive constituents of Pulsatilla chinensis, playing an important role in various biological activities such as anti-tumour, cognition-enhancing, anti-biosis, anti-inflammatory, hypoglycemic and immunological adjuvant. OBJECTIVE: To establish a systematic strategy based on ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS/MS) for the efficient characterisation and identification of triterpenoid saponins in crude extracts from Pulsatilla chinensis. METHODOLOGY: In this work, the strategy includes two aspects: (1) positive mode: by target screening, we can deduce the aglycone type and the composition of sugar moiety according to the fragment ions; untargeted screening includes four steps, find unknown, formula finder, ChemSpider search and MS/MS identification; (2) negative mode: according to the MS/MS spectra, the composition of sugar chain bonded to C-28 is inferred reasonably. The extract of Pulsatilla chinensis was separated within 60 min on a C18 column and eluted with methanol and water both containing 0.1% formic acid. RESULTS: As a result, a total of 22 triterpenoid saponins (11 pairs of isomers) with four aglycone skeletons were tentatively identified or elucidated in crude extracts from Pulsatilla chinensis based on their retention times, the mass spectrometric fragmentation patterns, and MS and MS/MS data. CONCLUSION: This study provides an efficient analysis strategy to rapidly identify the triterpenoid saponins in Pulsatilla species even in traditional Chinese medicines.