Chemical proteomics unveils that seventy flavors pearl pill ameliorates ischemic stroke by regulating oxidative phosphorylation.

Ischemic stroke has high mortality and morbidity rates and is the second leading cause of death in the world, but there is no definitive medicine. Seventy Flavors Pearl Pill (SFPP) is a classic formula in Tibetan Medicine. Clinical practice has shown the attenuation effect of SFPP on blood pressure disorders, strokes and their sequelae and other neurological symptoms, but its mechanism remains to be elucidated. In this study, we established three animal models in vivo and three cell models to evaluate the anti-hypoxia, anti-ischemia, and reperfusion injury prevention effects of SFPP. Quantitative proteomics revealed that oxidative phosphorylation (OXPHOS) is essential for SFPP's efficacy. Then, cysteine-activity based protein profiling technology, which reflects redox stress at the proteome level, was employed to illustrate that SFPP brought functional differences of critical proteins in OXPHOS. In addition, quantitative metabolomics revealed that SFPP affects whole energy metabolism with OXPHOS as the core. Finally, we performed a compositional identification of SFPP to initially explore the components of potential interventions in OXPHOS. These results provide new perspectives and tools to explore the mechanism of herbal medicine. The study suggests that OXPHOS could be a potential target for further research and intervention of ischemic stroke treatment.

An integrated approach for studying the metabolic profiling of herbal medicine in mice using high-resolution mass spectrometry and metabolomics data processing tools.

Analysis of exposure to traditional Chinese medicine (TCM) in vivo based on mass spectrometry is helpful for the screening of effective ingredients of TCM and the development of new drugs. The method of screening biomarkers through metabolomics technology is a nontargeted research method to explore the differential components between two sets of biological samples. By taking this advantage, this study aims to takes Forsythia suspensa, which is a TCM also known as Lian Qiao (LQ), as the research object and to study its in vivo exposure by using metabolomics technology. By comparing the significant differences between biological samples before and after administration, it could be focused on the components that were significantly upregulated, where a complete set of analysis strategies for nontargeted TCM in vivo exposure mass spectrometry was established. Furthermore, the threshold parameters for peak extraction, parameter selection during statistical data analysis, and sample concentration multiples in this method have also been optimized. More interestingly, by using the established analysis strategy, we found 393 LQ-related chemical components in mice after administration, including 102 prototypes and 291 LQ-related metabolites, and plotted their metabolic profiles in vivo. In short, this study has obtained a complete mass spectrum of LQ exposure in mice in vivo for the first time, which provides a reference for research on the active ingredients of LQ in vivo. More importantly, compared with other methods, the analysis strategy of nontargeted exposure of TCM in vivo-based mass spectrometry, constructed by using this research method, has good universality and does not require self-developed postprocessing software. It is worth mentioning that, for the identification and characterization of trace amounts of metabolites in vivo, this analysis strategy has no discrimination and has a detection capability similar to that of highly exposed components.

Identification of active compounds of traditional chinese medicine derived from maxing shigan decoction for COVID-19 treatment: a meta-analysis and in silico study.

BACKGROUND: Coronavirus 2019 (COVID-19) poses a serious threat to human health. In China, traditional Chinese medicine (TCM), mainly based on the Maxing Shigan decoction (MXSGD), is used in conjunction with western medicine to treat COVID-19. RESEARCH DESIGN AND METHODS: We conducted a network meta-analysis to investigate whether MXSGD-related TCM combined with western medicine is more effective in treating COVID-19 compared to western medicine alone. Additionally, using network pharmacology, cross-docking, and molecular dynamics (MD) simulation to explore the potential active compounds and possible targets underlying the therapeutic effects of MXSGD-related TCM. RESULTS: MXSGD-related TCM combined with western medicine was better for treating COVID-19 compared to western medicine alone. Network pharmacological analysis identified 43 shared ingredients in the MXSGD-related TCM prescriptions and 599 common target genes. Cross-docking of the 43 compounds with 154 proteins that matched these genes led to the identification of 60 proteins. Pathway profiling revealed that the active ingredients participated in multiple signaling pathways that contribute to their efficacy. Molecular docking and MD simulation demonstrated that MOL007214, the most promising molecule, could stably bind to the active site of SARS-CoV-2 3CLpro. CONCLUSION: This study demonstrates the important role of MXSGD-related TCM in the treatment of COVID-19.

Integrated metabolism, network pharmacology, and pharmacokinetics to explore the exposure differences of the pharmacodynamic material basis in vivo caused by different extraction methods for Saussurea involucrata.

ETHNOPHARMACOLOGICAL RELEVANCE: Saussurea involucrata Kar.et Kir. (S.I.) has long been used as a precious national medicine and clinically proven to be an effective treatment for rheumatoid arthritis (RA) and cardiovascular diseases. In clinical practice, two extraction methods of S.I., including water decoction and alcohol extraction, are prescribed to treat the same conditions. Nevertheless, no study has been performed on the exposure differences of the pharmacodynamic material basis in vivo caused by different extraction methods. AIM OF THE STUDY: Based on the integrated strategy of metabolism, network pharmacology, and pharmacokinetics, we aimed to reveal exposure differences in pharmacodynamic substances caused by different extraction methods. MATERIALS AND METHODS: Ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UPLC-HRMS) was employed to identify the chemical constituents of S.I. extracts and the metabolites in vivo after administration. Based on the analysis of prototype components in vivo, the major exposure active constituents, potential therapeutic targets and possible pharmacological mechanisms in RA treatment were investigated using network pharmacological analysis. Seven critical active components, including quercetin, hispidulin, apigenin, chlorogenic acid, arctigenin, syringin, and umbelliferone, were quantitatively compared between the alcohol, and aqueous extraction methods, which had been confirmed by the reference substance. RESULTS: The chemical comparison demonstrated that the types of chemicals in the two extracts were identical, mainly flavonoids, phenylpropanoids, coumarins, lignins, sesquiterpene lactones, and others, but the contents of the primary constituents in the aqueous extract were lower than those of the alcohol extract. A total of 30 prototype components and 174 metabolites were analyzed and identified in rat plasma, urine, fecal, and bile samples. Twenty-three prototype components were analyzed by network pharmacology, and seven critical active components were selected as representative markers for the pharmacokinetic study. Pharmacokinetic studies had shown that the Tmax values of apigenin, hispidulin, chlorogenic acid, arctigenin, and syringin after the oral administration of the alcohol extract were lower than those after the oral administration of the aqueous extract, and the above components in the alcohol extract could increase the absorption. Compared with the aqueous extract group, the Tmax and T1/2 of quercetin and umbelliferone were longer; it was suggested that alcohol extraction might have a slow-release and long-term effect on these two components. The relative bioavailability of apigenin, hispidulin, quercetin, chlorogenic acid, and umbelliferone in the alcohol extract group were higher than those in the aqueous extract group, which was consistent with the traditional clinical experience that alcohol extract could improve the efficacy of S.I. CONCLUSIONS: The major exposure active constituents in vivo were screened. The representative components that could be used in pharmacokinetics were determined by integrating network pharmacology and metabolism studies. The critical active compounds were quantitatively compared between the alcohol and aqueous extraction methods. This study clarified that flavonoids, coumarin, and phenylpropanoids might be the primary material basis that caused the exposure differences between aqueous and alcoholic extracts from S.I.. This research aimed to provide the basis of metabolism in vivo for further studying these pharmacodynamic differences.

Integrated approach toward absorption, distribution, metabolism, and excretion of Xiaoke pills in zebrafish based on UPLC-HRMS and DESI-MS techniques.

Traditional Chinese medicine (TCM) has been used in clinical settings for over 2000 years in China. The study of the absorption, distribution, metabolism, and excretion (ADME) of TCM in vivo could be beneficial for the discovery of the active components in TCM. However, the conventional strategies used for ADME research are based on rodent models and have the characteristics of lengthy experimental periods, complex processes, and extensive data processing, which make it difficult to perform rapid analyses and high-throughput ADME screening of the medicinal components of TCM. In this study, an integrated high-throughput research strategy for the in vivo ADME analysis of TCM was established based on a zebrafish model. Accordingly, a combination of ultra-performance liquid chromatography-high-resolution mass spectrometry (UPLC-HRMS), desorption electrospray ionization-mass spectrometry (DESI-MS) imaging, and in-house non-targeted precise-and-thorough background-subtraction (PATBS) data post-processing techniques were successfully applied for the analysis of the metabolism of zebrafish exposed to Xiaoke pills. A total of 49 compounds related to Xiaoke pills (including 13 prototypical components and 36 metabolites) were detected in zebrafish. In total, 32 of them, including puerarin, daidzein, deoxyschizandrin, formononetin, and glibenclamide, which have been identified to have hypoglycemic activity in our previous studies and are phase I and phase II metabolites resulting from the hydroxylation, demethylation, glucuronidation, sulfation, and glycosylation of the prototypical components in vivo, were found in rats treated with Xiaoke pills. Furthermore, the overall distribution of the known compounds in zebrafish exposed to Xiaoke pills was explored using DESI-MS. In summary, this study provides a practical approach for the high-throughput screening of the active components of TCM using a zebrafish model.

Exploration of Q-Marker of Rhubarb Based on Intelligent Data Processing Techniques and the AUC Pooled Method.

Rhubarb, as a traditional Chinese medicine, has several positive therapeutic effects, such as purging and attacking accumulation, clearing heat and purging fire, cooling blood, and detoxification. Recently, Rhubarb has been used in prescriptions for the prevention and treatment of COVID-19, with good efficacy. However, the exploration of effective quantitative approach to ensure the consistency of rhubarb's therapeutic efficacy remains a challenge. In this case, this study aims to use non-targeted and targeted data mining technologies for its exploration and has comprehensively identified 72 rhubarb-related components in human plasma for the first time. In details, the area under the time-concentration curve (AUC)-pooled method was used to quickly screen the components with high exposure, and the main components were analyzed using Pearson correlation and other statistical analyses. Interestingly, the prototype component (rhein) with high exposure could be selected out as a Q-marker, which could also reflect the metabolic status changes of rhubarb anthraquinone in human. Furthermore, after comparing the metabolism of different species, mice were selected as model animals to verify the pharmacodynamics of rhein. The in vivo experimental results showed that rhein has a positive therapeutic effect on pneumonia, significantly reducing the concentration of pro-inflammatory factors [interleukin (IL)-6 and IL-1ß] and improving lung disease. In short, based on the perspective of human exposure, this study comprehensively used intelligent data post-processing technologies and the AUC-pooled method to establish that rhein can be chosen as a Q-marker for rhubarb, whose content needs to be monitored individually.

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

BACKGROUND: 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. METHODS: 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. RESULTS: 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., BEDDA); (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). CONCLUSION: 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.

HRPIF data mining based on data-dependent/independent acquisition for Rhei Radix et Rhizoma metabolite screening in rats.

In traditional Chinese medicine (TCM), components with identical nuclei often share structural similarity, indicating the possibility of similar second-level mass spectrometry (MS/MS) fragments. High-resolution product-ion filter (HRPIF) technique can be utilized to identify metabolites, with similar fragments, in vivo. In principle, this technique applies to TCM; however, its application has been restricted due to the limitations of traditional MS/MS data acquisition. Therefore, a novel analysis strategy, based on data-dependent acquisition (DDA) and data-independent acquisition (DIA) datasets, has been developed for the determination of template product ions and efficient non-targeted identification of TCM-related components in vivo by HRPIF and background subtraction (BS). This DDA-DIA combination strategy, taking Rhei Radix et Rhizoma as a test case, identified 71 anthraquinone prototype components in vitro (36 of which were discovered for the first time), and 45 related components in vivo, confirming glucuronidation and sulfation as the main reactions. The developed strategy could rapidly identify TCM-related components in vivo with high sensitivity, indicating the immense importance of this novel HRPIF data mining technology in TCM analysis.

Identification of potential anti-pneumonia pharmacological components of Glycyrrhizae Radix et Rhizoma after the treatment with Gan An He Ji oral liquid.

Glycyrrhizae Radix et Rhizoma, a traditional Chinese medicine also known as Gan Cao (GC), is frequently included in clinical prescriptions for the treatment of pneumonia. However, the pharmacological components of GC for pneumonia treatment are rarely explored. Gan An He Ji oral liquid (GAHJ) has a simple composition and contains GC liquid extracts and paregoric, and has been used clinically for many years. Therefore, GAHJ was selected as a compound preparation for the study of GC in the treatment of pneumonia. We conducted an in vivo study of patients with pneumonia undergoing GAHJ treatments for three days. Using the intelligent mass spectrometry data-processing technologies to analyze the metabolism of GC in vivo, we obtained 168 related components of GC in humans, consisting of 24 prototype components and 144 metabolites, with 135 compounds screened in plasma and 82 in urine. After analysis of the metabolic transformation relationship and relative exposure, six components (liquiritin, liquiritigenin, glycyrrhizin, glycyrrhetinic acid, daidzin, and formononetin) were selected as potential effective components. The experimental results based on two animal pneumonia models and the inflammatory cell model showed that the mixture of these six components was effective in the treatment of pneumonia and lung injury and could effectively downregulate the level of inducible nitric oxide synthase (iNOS). Interestingly, glycyrrhetinic acid exhibited the strongest inhibition on iNOS and the highest exposure in vivo. The following molecular dynamic simulations indicated a strong bond between glycyrrhetinic acid and iNOS. Thus, the current study provides a pharmaceutical basis for GC and reveals the possible corresponding mechanisms in pneumonia treatment.

Identifying potential anti-COVID-19 pharmacological components of traditional Chinese medicine Lianhuaqingwen capsule based on human exposure and ACE2 biochromatography screening.

Lianhuaqingwen (LHQW) capsule, a herb medicine product, has been clinically proved to be effective in coronavirus disease 2019 (COVID-19) pneumonia treatment. However, human exposure to LHQW components and their pharmacological effects remain largely unknown. Hence, this study aimed to determine human exposure to LHQW components and their anti-COVID-19 pharmacological activities. Analysis of LHQW component profiles in human plasma and urine after repeated therapeutic dosing was conducted using a combination of HRMS and an untargeted data-mining approach, leading to detection of 132 LHQW prototype and metabolite components, which were absorbed via the gastrointestinal tract and formed via biotransformation in human, respectively. Together with data from screening by comprehensive 2D angiotensin-converting enzyme 2 (ACE2) biochromatography, 8 components in LHQW that were exposed to human and had potential ACE2 targeting ability were identified for further pharmacodynamic evaluation. Results show that rhein, forsythoside A, forsythoside I, neochlorogenic acid and its isomers exhibited high inhibitory effect on ACE2. For the first time, this study provides chemical and biochemical evidence for exploring molecular mechanisms of therapeutic effects of LHQW capsule for the treatment of COVID-19 patients based on the components exposed to human. It also demonstrates the utility of the human exposure-based approach to identify pharmaceutically active components in Chinese herb medicines.

Artificial intelligence and network pharmacology based investigation of pharmacological mechanism and substance basis of Xiaokewan in treating diabetes.

Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural chemicals, such as lignans, flavonoids, saponins, polysaccharides, and western medicine glibenclamide. In the current study, a highly efficient system for screening hypoglycemic efficacy constituents of Xiaokewan has been developed with the integration of intelligent data acquisition, data mining, network pharmacology, and computer assisted target fishing. With the combination of background exclusion data dependent acquisition (BE-DDA) and non-targeted precise-and-thorough background-subtraction (PATBS) techniques, a novel workflow has been established for the non-targeted recognition and identification of TCM constituents in vivo, and has been applied to the exposure study of Xiaokewan in rat. In this case, an interesting correlation among drug, target, and disease can be established, by combining the screening or characterization results with the strategy of network pharmacology and multiple computer assisted techniques. Consequently, five main constituents (puerarin, daidzein, formononetin, deoxyschizandrin and glibenclamide) exposed in vivo have been selected as effective hypoglycemic components. Meanwhile, the network pharmacology experimental results showed that these five constituents could act on various drug targets, such as PI3K, PTP1B, MAPK, AKT, TNF, and NF-κB. These five constituents might be involved in the regulation of ß-cell function or exhibit inflammation inhibition ability to relieve the pathophysiological process of disease from multiple links. Furthermore, the pharmacological effects of these five constituents have been verified by diabetic zebrafish model. The zebrafish model results showed that the TCM monomer mixture without glibenclamide exhibited similar hypoglycemic activity with Xiaokewan. Although the monomer mixture with glibenclamide showed better activity than Xiaokewan only, the deoxyschizandrin (TCM constituent of Xiaokewan) exhibited best hypoglycemic performance. In summary, the above results indicated that the application of both intelligent recognition technology in mass spectrometry dataset and computerized network pharmacology might provide a pioneering approach for investigating the substance basis of TCM and searching lead compounds from natural sources.

A Self-Assembled α-Synuclein Nanoscavenger for Parkinson's Disease.

Although emerging evidence suggests that the pathogenesis of Parkinson's disease (PD) is closely related to the aggregation of alpha-synuclein (α-syn) in the midbrain, the clearance of α-syn remains an unmet clinical need. Here, we develop a simple and efficient strategy for fabricating the α-syn nanoscavenger for PD via a reprecipitation self-assembly procedure. The curcumin analogue-based nanoscavenger (NanoCA) is engineered to be capable of a controlled-release property to stimulate nuclear translocation of the major autophagy regulator, transcription factor EB (TFEB), triggering both autophagy and calcium-dependent exosome secretion for the clearance of α-syn. Pretreatment of NanoCA protects cell lines and primary neurons from MPP+-induced neurotoxicity. More importantly, a rapid arousal intranasal delivery system (RA-IDDS) was designed and applied for the brain-targeted delivery of NanoCA, which affords robust neuroprotection against behavioral deficits and promotes clearance of monomer, oligomer, and aggregates of α-syn in the midbrain of an MPTP mouse model of PD. Our findings provide a clinically translatable therapeutic strategy aimed at neuroprotection and disease modification in PD.

Relationship between Tissue Distributions of Modified Wuzi Yanzong Prescription () in Rats and Meridian Tropism Theory.

OBJECTIVE: To investigate the relationship between tissue distributions of modified Wuzi Yanzong prescription (, MWP) in rats and meridian tropism theory. METHODS: A high-performance liquid chromatography with Fourier transform-mass spectrometry (HPLC-FT) method was used to identify the metabolites of MWP in different tissues of rats after continued oral administration of MWP for 7 days. The relationship between MWP and meridian tropism theory was studied according to the tissue distributions of the metabolites of MWP in rats and the relevant literature. RESULTS: Nineteen metabolites, mainly flavanoid compounds, were detected in the different rat tissues and classified to each herb in MWP. Further, it was able to establish that the tissue distributions of the metabolites of MWP were consistent with the descriptions of meridian tropism of MWP available in literature, this result might be useful in clarifying the mechanism of MWP on meridian tropism. In the long run, these data might provide scientific evidence of the meridian tropism theory to further promote the reasonable, effective utilization, and modernization of Chinese medicine. CONCLUSION: The tissue distributions of MWP in vivo were consistent with the descriptions of meridian tropism of MWP.

A multiple-dimension liquid chromatography coupled with mass spectrometry data strategy for the rapid discovery and identification of unknown compounds from a Chinese herbal formula (Er-xian decoction).

It is very important to rapidly discover and identify the multiple components of traditional Chinese medicine (TCM) formula. High performance liquid chromatography with high resolution tandem mass spectrometry (HPLC-HRMS/MS) has been widely used to analyze TCM formula and contains multiple-dimension data including retention time (RT), high resolution mass (HRMS), multiple-stage mass spectrometric (MSn), and isotope intensity distribution (IID) data. So it is very necessary to exploit a useful strategy to utilize multiple-dimension data to rapidly probe structural information and identify chemical compounds. In this study, a new strategy to initiatively use the multiple-dimension LC-MS data has been developed to discover and identify unknown compounds of TCM in many styles. The strategy guarantees the fast discovery of candidate structural information and provides efficient structure clues for identification. The strategy contains four steps in sequence: (1) to discover potential compounds and obtain sub-structure information by the mass spectral tree similarity filter (MTSF) technique, based on HRMS and MSn data; (2) to classify potential compounds into known chemical classes by discriminant analysis (DA) on the basis of RT and HRMS data; (3) to hit the candidate structural information of compounds by intersection sub-structure between MTSF and DA (M,D-INSS); (4) to annotate and confirm candidate structures by IID data. This strategy allowed for the high exclusion efficiency (greater than 41%) of irrelevant ions in er-xian decoction (EXD) while providing accurate structural information of 553 potential compounds and identifying 66 candidates, therefore accelerating and simplifying the discovery and identification of unknown compounds in TCM formula.

An Integrated Approach for Studying Exposure, Metabolism, and Disposition of Multiple Component Herbal Medicines Using High-Resolution Mass Spectrometry and Multiple Data Processing Tools.

A typical prescription of traditional Chinese medicine (TCM) contains up to a few hundred prototype components. Studying their absorption, metabolism, distribution, and elimination (ADME) presents great challenges. The objective of this study was to develop a practical approach for investigating ADME of individual prototypes in TCM. An active fraction of Xiao-Xu-Ming decoction (AF-XXMD) as a model TCM prescription was orally administered to rats. AF-XXMD-related components in plasma, urine, bile, and feces were detected using high-resolution mass spectrometry and background subtraction, an untargeted data-mining tool. Components were then structurally characterized on the basis of MS(n) spectral data. Connection of detected AF-XXMD metabolites to their precursor species, either prototypes or upstream metabolites, were determined on the basis of mass spectral similarity and the matching of biotransformation reactions. As a result, 247 AF-XXMD-related components were detected and structurally characterized in rats, 134 of which were metabolites. Among 198 AF-XXMD prototypes dosed, 65 were fully or partially absorbed and 13 prototypes and 34 metabolites were found in the circulation. Glucuronidation, isomerization, and deglycosylation followed by biliary and urinary excretions and direct elimination of prototypes via kidney and liver were the major clearance pathways of AF-XXMD prototypes. As an example, the ADME profile of H56, the single major AF-XXMD component in rat plasma, was elucidated on the basis of profiles of H56-related components in plasma and excreta. The results demonstrate that the new analytical approach is a useful tool for rapid and comprehensive detection and characterization of TCM components in biologic matrix in a TCM ADME study.

Pharmacokinetics of 21 active components in focal cerebral ischemic rats after oral administration of the active fraction of Xiao-Xu-Ming decoction.

The Xiao-Xu-Ming decoction (XXMD) is a traditional Chinese medicine prescription that is clinically used for the treatment of stroke. The active fraction of XXMD (AF-XXMD) exhibits pharmacological effects that are similar to those of XXMD. In this study, 21 primary compounds of AF-XXMD with potential anti-ischemic-stroke activities were selected as effective candidates to perform comparisons of their pharmacokinetic differences between control and cerebral ischemic rats and to characterize their pharmacokinetic behaviors in cerebral ischemic rats. After oral administration of AF-XXMD to control and cerebral ischemic rats, plasma and brain were harvested and analyzed using liquid chromatography coupled with tandem mass spectrometry. Reverse molecular docking results indicate that 21 AF-XXMD-derived compounds exert potential neuroprotection, anti- inflammation, and vascular dilation effects via interaction with multiple targets in stroke-related pathways. The blood-brain permeability, cerebral exposure and brain region distribution of these compounds were found to change in cerebral ischemic models. Flavonoids were identified as the predominant form in plasma, whereas chromones were found to be the major form in the brain, and alkaloids possessed moderate blood-brain permeability. Collectively, the cerebral pharmacokinetic behaviors of chromones, flavonoids and alkaloids were found to change under pathological conditions. The efficacy of AF-XXMD against cerebral ischemia is relevant to the synergistic effects of these compounds in targeting different receptors and pathways. Chromones exhibit relatively high brain permeability, and their activity and mechanism warrant further investigation.

Systematic considerations for a multicomponent pharmacokinetic study of Epimedii wushanensis herba: From method establishment to pharmacokinetic marker selection.

BACKGROUND: Prenylflavonoids are major active components of Epimedii wushanensis herba (EWH). The global pharmacokinetics of prenylflavonoids are unclear, as these compounds yield multiple, often unidentified metabolites. PURPOSE: This study successfully elucidated the pharmacokinetic profiles of EWH extract and five EWH-derived prenylflavonoid monomers in rats. STUDY DESIGN: The study was a comprehensive analysis of metabolic pathways and pharmacokinetic markers. METHODS: Major plasma compounds identified after oral administration of EWH-derived prototypes or extract included: (1) prenylflavonoid prototypes, (2) deglycosylated products, and (3) glucuronide conjugates. To select appropriate EWH-derived pharmacokinetic markers, a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method was established to simultaneously monitor 14 major compounds in unhydrolyzed plasma and 10 potential pharmacokinetic markers in hydrolyzed plasma. RESULTS: The pharmacokinetic profiles indicated that the glucuronide conjugates of icaritin were the principle circulating metabolites and that total icaritin accounted for ∼99% of prenylflavonoid exposure after administration of EWH-derived materials to rats. To further investigate icaritin as a prospective pharmacokinetic marker, correlation analysis was performed between total icaritin and its glucuronide conjugates, and a strong correlation (r > 0.5) was found, indicating that total icaritin content accurately reflected changes in the exposure levels of the glucuronide conjugates over time. Therefore, icaritin is a sufficient pharmacokinetic marker for evaluating dynamic prenylflavonoid exposure levels. Next, a mathematical model was developed based on the prenylflavonoid content of EWH and the exposure levels in rats, using icaritin as the pharmacokinetic marker. This model accurately predicted exposure levels in vivo, with similar predicted vs. experimental area under the curve (AUC)(0-96 h) values for total icaritin (24.1 vs. 32.0 mg/L h). CONCLUSION: Icaritin in hydrolyzed plasma can be used as a pharmacokinetic marker to reflect prenylflavonoid exposure levels, as well as the changes over time of its glucuronide conjugates.

Integrated targeted sphingolipidomics and transcriptomics reveal abnormal sphingolipid metabolism as a novel mechanism of the hepatotoxicity and nephrotoxicity of triptolide.

ETHNOPHARMACOLOGICAL RELEVANCE: Tripterygium wilfordii Hook F (TWHF) is a traditional herbal medicine in China. Triptolide (TP), the primary bioactive compound of TWHF, is an anti-inflammatory and immunosuppressive compound that can also injure the liver and kidney. Unfortunately, the toxicity mechanism remains unknown. AIM OF THE STUDY: The aim of this study is to understand the regulatory role of sphingolipid (SPL) pathways in the TP-induced toxic mechanism in the liver and kidney in delayed-type hypersensitivity (DTH) Balb\c mouse. MATERIAL AND METHODS: 76 core sphingolipids and 29 species of related metabolic enzymes in liver, kidney and plasma were analyzed with previous HPLC-MS/MS and real time qPCR method, respectively. Furthermore, the data generated from these two omics underwent integrated analysis to describe TP-induced abnormal sphingolipid metabolism and identify the specific biomarkers of TP toxicity using bioinformation method. RESULTS: High-dose (LD50) TP could induce severe liver and kidney injuries. Moreover, TP comprehensively influenced the enzymes involved in the sphingolipids metabolism in the liver and kidney at the mRNA expression level. Furthermore, the total levels of ceramides (Cers), sphingomyelins (SMs) and sphingosine (Sph) were all elevated, while dihydroceramides (dhCers) and hexosylceramides (HexCers) were all down-regulated. Several enzymes, including kdsr, CerS2, CerS4, CerS5 and CerS6 in the liver and Cerk in the kidney were probably responsible for the TP-induced toxic effect, identifying them as possible novel therapeutic targets. Besides, fractions of long chain SPL (C16-C20) exhibited significant increase, and fractions of unsaturated dhCer and Cer were significantly changed, both of which above may be due to the change of mRNA expression level of CerSs. Moreover, several biomarkers for the diagnosis of TP poisoning were discovered. CONCLUSION: In summary, the regulation of SPL metabolism uncovered a novel mechanism underlying TP poisoning in the liver and kidney. In addition, key biomarkers and enzymes may play an important role in reducing the clinical risk associated with the use of TP.

Comprehensive two-dimensional liquid chromatography coupled with quadrupole time-of-flight mass spectrometry for chemical constituents analysis of tripterygium glycosides tablets.

Comprehensive two-dimensional liquid chromatography platform (LC×LC) coupled with quadrupole time-of-flight (QTOF) mass spectrometry (MS) is developed to separate, identify and relatively determine the chemical constituents of two types of tripterygium glycosides tablets (TGT). The types and relative contents of the constituents discovered in two kinds of TGT tablets were subsequently compared. C8 and C18 column were used for the separation of the first and second dimensional chromatography ((1)D and (2)D) respectively, and an integrated shift and full gradient mode was used in (2)D. Using this LC×LC-QTOF-MS platform, 92 and 132 constituents were detected in TGT preparations from Hubei and Hunan manufacturers respectively (HB-TGT and HN-TGT), most of which belonged to the diterpenoid, triterpenoid and alkaloid families. 50 and 90 compounds were unique in HB-TGT and HN-TGT, respectively, and their relative contents proportion were 52.0% and 54.2% of HB-TGT and HN-TGT, respectively. Furthermore, two TGT tablets could both lead to obvious change in biochemical parameters, oxidative stress related parameters and histopathological status to different degree. In all, the LC×LC-QTOF-MS platform offer a powerful and efficient method for characterizing, identifying and semi-quantifying chemical components in TGT preparations.

Novel strategy for the determination of illegal adulterants in health foods and herbal medicines using high-performance liquid chromatography with high-resolution mass spectrometry.

The detection, confirmation, and quantification of multiple illegal adulterants in health foods and herbal medicines by using a single analytical method are a challenge. This paper reports on a new strategy to meet this challenge by employing high-performance liquid chromatography coupled with high-resolution mass spectrometry and a mass spectral tree similarity filter technique. This analytical method can rapidly collect high-resolution, high-accuracy, optionally multistage mass data for compounds in samples. After a preliminary screening by retention time and high-resolution mass spectral data, known illegal adulterants can be detected. The mass spectral tree similarity filter technique has been applied to rapidly confirm these adulterants and simultaneously discover unknown ones. By using full-scan mass spectra as stem and data-dependent subsequent stage mass spectra to form branches, mass spectrometry data from detected compounds are converted into mass spectral trees. The known or unknown illegal adulterants in the samples are confirmed or discovered based on the similarity between their mass spectral trees and those of the references in a library, and they are finally quantified against standard curves. This new strategy has been tested by using 50 samples, and the illegal adulterants were rapidly and effectively detected, confirmed and quantified.