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.

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.

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.

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.

Molecular cloning and expression of ghrelin in the hypothalamus-pituitary-gastrointestinal tract axis of the Yak (Bos grunniens) in the Qinghai-Tibetan Plateau.

Ghrelin is a very important brain-gut peptide that modulates appetite and energy metabolism in mammals. The yak is the only large mammal that can adapt to the cold temperatures and hypoxia conditions present in the Qinghai-Tibet Plateau. However, there are no reports on ghrelin molecular characterization and expression in the hypothalamus-pituitary-digestive tract axis of the yak to date. In this study, the coding region sequence of the yak ghrelin, containing a complete ORF (351) encoding for 117 amino acids, was cloned. Immunohistochemistry analysis of the yak samples showed that ghrelin-immunoreactive cells were expressed at the arcuate nucleus (ARC), the ventromedial nucleus (VMN), the dorsomedial nucleus (DMN) of the hypothalamus and also at the anterior pituitary. Ghrelin-positive cells were also present in approximately two thirds of the submucosa of the abomasum fundic gland and mucous layer of the duodenum intestinal gland. Ghrelin's mRNA highest expression occurred in the abomasum sample, followed by the duodenum, hypothalamus and lowest at the pituitary gland. The level of ghrelin mRNA measured in yak was higher than in cattle for all the tissues that were compared. The ghrelin protein and mRNA expression profiles were similar. These data imply that the high expression of ghrelin in the hypothalamus-pituitary-digestive tract axis of yak could aid adaptation to the extreme environment better than cattle, by improving appetite and fat accumulation, regulating body temperature and reducing energy consumption via regulating energy metabolism.

UHPLC-Q-TOF-MS/MS-oriented characteristic components dataset and multivariate statistical techniques for the holistic quality control of Usnea.

The holistic quality evaluation of Traditional Chinese Medicine (TCM) is confronted with significant challenges due to its extreme chemical complexity. In this study, a sensitive strategy based on ultra-high-performance liquid chromatography-triple/time-of-flight mass spectrometry (UHPLC-Q-TOF-MS/MS) and chemometric analysis was established and validated for the qualitative and semi-quantitative analyses of characteristic components in Usnea. First, three mass spectrometry fragmentation patterns of phenolic acid standards were studied and summarized. Then, an extract of this herb was analyzed by the full-scan MS spectra and identified by extracted ion chromatography (XIC). Based on the abovementioned methods, a total of 38 compounds (8 dibenzofurans, 11 didepsides, 13 depsidones, and 6 mono-substituted phenyl rings) were identified. Subsequently, the qualities of Usnea samples from different regions were evaluated by the semi-quantitative analysis based on their relative peak areas. Furthermore, principal component analysis (PCA) was performed to compare the Usnea herbs and to find possible diagnostic chemical components. This novel and powerful strategy could provide a potential approach for the holistic quality control of TCM.

Differentiation of Isodon japonica and Adulterants Based on Identification and Quantitation 14 Diterpenoids Using LC-MS-MS Library Search Approach and Hierarchical Cluster Analysis.

The aim of this study was to investigate the chemical differences between genunine Isodon japonica and its adulterants. A linear ion trap liquid chromatography with tandem mass spectrometry analytical method has been developed for the identification and quantification of 14 major diterpenoids in I. japonica. Data acquisition was multiple reaction monitoring transitions mode followed by an information-dependent acquisition using the enhanced product ion (EPI) scan in a single run. The target compounds were further identified and confirmed using an EPI spectral library. Overall validation of the assay was carried out including linearity, accuracy, precision, limits of detection and quantification. The results demonstrated that the method was selective, sensitive and reliable. The determination results of 21 batches of I. japonica and adulterants were then analyzed and differentiated by hierarchical clustering analysis.

Simultaneous Quantification of 11 Constituents in Wuji Pill Using Ultra Performance Liquid Chromatography Coupled With a Triple Quadrupole Electrospray Tandem Mass Spectrometry.

An ultra performance liquid chromatography coupled with a triple quadrupole electrospray tandem mass spectrometry (UPLC-MS-MS) method was developed for analyzing and identifying the constituents of 11 compounds including berberine, epiberberine, berberrubine, jatrorrhizine, coptisine, palmatine, evodiamine, rutaecarpine, limonin, paeoniflorin and albiflorin in Wuji pill (WJ pill), a traditional Chinese medicine. The chromatographic separation was performed on a C18 column and the mobile phase was composed of water (0.1% formic acid and 2 mmol ammonium acetate) and methanol with a linear gradient elution. The detection was performed by multiple reaction monitoring mode, using electrospray ionization in the positive ion mode. The total run time was 14 min. The calibration curves were linear with all correlation coefficients higher than 0.9987 in the tested range. The intra- and interday precisions were no more than 4.9%, and the average recoveries were from 92.4 to 107.8% with the relative standard deviations no more than 7.8%. The developed method was successfully employed to analyze five batches of WJ pill samples. This is the first time to establish a method for the quality control of WJ pill to ensure the safety and efficacy in clinical applications effectively.

[Simultaneous determination of 4 diterpenoids in Rabdosia japonica var.glaucocalyx by HPLC-ESI-MS/MS and cluster analysis].

A quick HPLC-ESI-MS/MS method was established for simultaneous determination of four major diterpenoids in Rabdosia japonica var.glaucocalyx, including glaucocalyxin A, oridonin, hebeirubesensin and enmenol. Analysis was performed on an Agilent ZORBAX SB-C18(4.6 mm×250 mm, 5 µm ) column eluted in a gradient program with methanol and water. The flow rate was 0.8 mL•min⁻¹. Multiple reaction monitoring (MRM) scanning mode was performed in negative ion switching mode to apply for the quantitative determination. The calibration curves for the above four compounds were linear in corresponding injection amount. The average recoveries of the compounds ranged from 92.40% to 105.9%, with RSDs of 1.7%-6.5%. The method is simple, rapid, accurate with good repeatability, which can provide a reference for overcalling evaluation the quality of R. japonica var.glaucocalyx. The result of cluster analysis- showed that the quality of R. japonica glaucocalyx var. greatly varied between areas and parts.

Simultaneous determination of ginsenoside Rb1, naringin, ginsenoside Rb2 and oridonin in rat plasma by LC-MS/MS and its application to a pharmacokinetic study after oral administration of Weifuchun tablet.

A sensitive, specific and rapid liquid chromatography-mass spectrometry (LC-MS) method was developed and validated for analysis of ginsenoside Rb1, naringin, ginsenoside Rb2 and oridonin in rat plasma using sulfamethoxazole as an internal standard (IS). Separation was conducted out on an Agilent Eclipse XDB C18 column with liner gradient elution using acetonitrile (A) and 0.1% aqueous acetic acid (B). A tandem mass spectrometric detection was conducted using multiple reaction monitoring (MRM) via an electrospray ionization (ESI) source. A novel multi-determination-periods program was executed to achieve a higher sensitivity by setting three scanning periods. All analytes exhibited good linearity within the concentration range (r>0.9973). The lower limits of quantitation (LLOQ) of ginsenoside Rb1, naringin, ginsenoside Rb2 and oridonin were 2.64, 4.32, 2.32 and 1.56ng/mL, respectively. Intra-day and inter-day precisions of the investigated components exhibited an RSD within 8.3%, and the accuracy (RE) ranged from -8.6% to 6.0% at all quality control levels. The developed method was successfully applied to a pharmacokinetic study of ginsenoside Rb1, naringin, ginsenoside Rb2 and oridonin in rats after oral administration of a Weifuchun tablet.

[Simultaneous determination of 3 phenolic acids in Usnea by HPLC-ESI-MS/MS].

A quick HPLC-ESI-MS/MS method was established for simultaneous determination of three chemical compositions in Usnea, including usnic acid, diffractaic acid, and ramalic acid. The separation was performed on a chromatographic column of Agilent ZORBAX SB-C, (4.6 mm x 250 mm, 5 µm), and the mobile phase was methanol (0.05% formic acid)-0.05% formic acid solution (4 mmol ammonium acetate), with an isocratic elution at a flow rate of 0.8 ml · min⁻¹. Multiple reaction monitoring scanning mode (MRM) was performed combined with the ion switching technology in positive and negative ion switching mode to apply for the quantitative determination. The calibration curves for the above three compounds were linear in corresponding injection amount. Their average recoveries were 95.0%-105.1%, with RSDs of 1.1%-5.2%. The method was simple, rapid, accurate with high repeatability, which could provide a reference for overcalling evaluation the quality of Usnea.

Rapid method for simultaneous determination of 20 components in Isodon nervosa by high-performance liquid chromatography-electrospray ionisation tandem mass spectrometry.

INTRODUCTION: Isodon nervosa is a commonly used traditional Chinese medicine including diterpenoids, phenolic acids, triterpenoids and volatile oil. Qualitative and quantitative analysis of multi-components is important for its quality control. OBJECTIVE: To establish a liquid chromatography-electrospray ionisation-mass spectrometry method for simultaneous analysis of 20 bioactive constituents of Isodon nervosa in different places of China and different parts of this herb. METHODOLOGY: The optimal chromatographic conditions were achieved on a C(18) column (250 × 4.6 mm, 5 µm) with with linear gradient elution with 0.1% aqueous formic acid : methanol containing 0.1% formic acid at a flow-rate of 0.7 mL/min in 15 min. The identification and quantification of those analytes were achieved on a hybrid quadrupole linear ion trap mass spectrometer. Multiple-reaction monitoring scanning was employed for quantification with switching electrospray ion source polarity between positive and negative modes in a single run. Full validation of the method was carried out (linearity, precision, accuracy, limit of detection and limit of quantification). RESULTS: The results indicated that the method was simple, rapid, specific and reliable. The proposed method was successfully applied for the qualitative and quantitative analysis of 20 chemical compositions in Isodon nervosa samples. CONCLUSION: Twenty chemical compositions in 21 batches of wild and cultivated Isodon nervosa samples from different sources had great variation in the contents.