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Liver toxicity induced by Triptolide (TP) has limited its clinical application on rheumatoid arthritis (RA). Saponins have been proved as an efficacious remedy to mitigate hepatotoxicity. However, the mechanism of reducing hepatotoxicity by saponins intervention remains incompletely characterized. Tryptophan (Trp) metabolites activate transcriptional regulators to mediate host detoxification responses. Our study aimed to investigate whether Clematichinenoside AR (C-AR) could attenuate TP-induced liver damage by regulating Trp metabolism. We used targeted metabolomics to quantify Trp metabolites in the serum and liver samples of collagen-induced arthritis rats treated by TP. Multiple comparison analyses helped the evaluation of promising biomarkers. The pronounced changed levels of Trp, indole acetic acid, and indole-3-carboxaldehyde in the serum and indole acetic acid, indole, and tryptamine in the liver are relevant to TP-induced liver injury. Intervention with C-AR could relieve TP-induced hepatotoxicity evidenced by ameliorative serum parameters and hepatic histology. In addition, C-AR regulated the levels of these indoles biomarker candidates to normal. Therapeutic modulation with natural compounds might be a useful clinical strategy to ameliorate toxicity induced by TP. Deciphering Trp metabolism will facilitate a better understanding of the pathogenesis of diseases and drug responding., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

The stems of Dendrobium officinale, a well-known and expensive food material and herbal medicine in Asia, has recently suffered adulterants and counterfeits by using lower-price confusing Dendrobium species such as D. devonianum or D. transparens in the herbal market. However, robust methods that could authenticate D. officinale from its confusing species effectively are still lacking, especially for the dried samples. This study committed to discover specific peptides biomarkers for the authentication of D. officinale from the other two Dendrobium species using label-free proteomics by nanoLC LTQ Orbitrap mass spectrometry. Multivariate statistical analysis was applied to visualize the difference between the three Dendrobium species. As a result, 29 peptides among a total of 343 measurable peptides were selected to be potential biomarkers for the classification of these Dendrobium species. The validation of the representative peptide biomarkers was carried out by the synthesized peptides and 3 peptide biomarkers were found significant for the authentication of D. officinale. Further analysis showed that peptide ALGLELDLSER may also be a biomarker for the discrimination of the D. officinale originated from different geographical regions., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Turmeric (Curcuma longa L, Zingiberaceae) rhizomes exhibit versatile biological activities including the significant anti-cancer property. As an herbal medicine, the therapeutic effects of turmeric may be expressed by multi-components which have complicated integration effects on multi-targets. Therefore, having previously found three A549 cell-binding curcuminoids (curcumin, Cur; demethoxycurcumin, DMcur; bisdemethoxycurcumin, BMcur) from turmeric, studies were undertaken in this paper to determine the anti-cancer mechanism and integration effects of these curcuminoids by using chemical markers' knockout and UHPLC-LTQ Orbitrap MS-based metabolomics. Four curcuminoid-containing fractions including a mixture of 3 cell-binding curcuminoids (CE), and three individual curcuminoids with natural proportion in turmeric were prepared by chemical markers' knockout method. CE, Cur, DMcur and BMcur fractions showed significant anti-cancer activity on A549 cells. The activities of CE, Cur and BMcur fractions were comparative with the turmeric crude extract (TcE). In the metabolomics study, CE and three individual curcuminoid fractions changed the expression of 25 metabolites in A549 cells, which were involved in glycerophospholipid catabolism, sphingolipid metabolism and fatty acid metabolism, etc. Among them, glycerophospholipid catabolism was disordered greatly in CE group, while sphingolipid metabolism was suggested to be closely related to DMcur and BMcur activity. Furthermore, the metabolomics data showed that three curcuminoids existed synergistic and antagonistic actions and the use of multi-curcuminoids is more powerful than use of single curcuminoid on the metabolic alterations of A549 cells., (Copyright © 2019 Elsevier B.V. All rights reserved.)

There is an increasing focus on the quality consistency evaluation of dispensing granule in traditional Chinese medicines (TCMs). According to the guideline from Chinese Pharmacopoeia Commission, the substantial equivalence of dispensing granule and traditional decoction should be determined, and the chromatographic fingerprint has been recommended as a comprehensive qualitative approach to assess the quality consistency between dispensing granule and traditional decoction. However, a high-degree chemical similarity does not equal a bioequivalence. Attempting to realize the quality evaluation by integrating chemical consistency and bioequivalence, we herein proposed a totality-of-the-evidence approach based on clustering analysis and equivalence evaluation taking the dispensing granule and traditional decoction of Scutellariae Radix (SR) as a typical case. Chemical fingerprints were developed by high performance liquid chromatography coupled with photodiode array detector and quadrupole time-of-flight mass spectrometry (HPLC-PDA/QTOF-MS). Subsequently, a feature selection strategy, integrated linear and nonlinear correlation analysis, was carried out to assess the correlation between chemical profiles and biological activities. Finally, quality consistency between the dispensing granule and the traditional decoction was determined by bioactive marker-guided hierarchical clustering analysis (HCA), k-means clustering method and bioequivalence evaluation. The available evidence suggested that not all the dispensing granule of SR were sufficiently similar to the traditional decoction. This study provides an applicable methodology for quality consistency evaluation of dispensing granule and traditional decoction in TCMs., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Recent studies have demonstrated the important role of short-chain fatty acids (SCFAs) in the maintenance of homeostasis of respiratory immunity. However, there is still no report focus on the determination of SCFAs level in bronchoalveolar lavage fluid (BALF), the most common sample used for screening biomarkers of the pulmonary diseases. Herein, an ultra-high-performance liquid chromatography with LTQ-Orbitrap mass spectrometer (UHPLC-LTQ-Orbitrap) oriented 3-nitrophenylhydrazine (3-NPH)-based derivatization method was developed for the quantification of SCFAs in BALF. To achieve accurate quantitation, d4-acetate was used as internal standard to compensate for the matrix effects. Method validation showed a good linearity (R 2 > 0.9992) with wide concentration range, and the intra-day and inter-day precision for determination of eight SCFAs in BALF samples was ≤ 14.79%. The quantitation accuracy, assessed by relative recoveries, ranged from 90% to 110% for target SCFAs at three concentration levels. Matrix effects ranged from 85% to 115%, and the lower limits of quantification of these targeted SCFAs were varied from 3 to 24 nmol/L. The SCFAs-targeted method was then applied to determine the changed levels in BALF samples from OVA-induced asthma mice and normal mice. In addition, the universality of our developed method was also demonstrated by determining the SCFAs concentrations in feces, serum and lung tissue samples from asthma and normal mice. These results indicate that 3-NPH derivatization based UHPLC-LTQ-Orbitrap provides accurate view of global SCFAs alternation in different samples, giving a support to deduce the origin of SCFAs in lung. The present study is of great importance for understanding the role of SCFAs in modulation of host metabolism and immunity., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Alzheimer's disease (AD) is a progressive neurodegenerative disease with neither definitive pathogenesis nor effective treatment method so far. Huang-Lian-Jie-Du-Tang (HLJDT) is a classic formula of traditional Chinese medicine (TCM) proven to have ameliorative effects on learning and memory deficits of dementia. Morris water maze (MWM) test and pathology analysis have demonstrated that HLJDT could ameliorate learning and memory deficits in AD mouse model, which may act via its anti-neuroinflammation properties. According to our previous studies, an UPLC-QTOF/MS-based metabolomics approach was performed to explore the potential mechanisms of HLJDT on preventing AD. As a result, a total of 23 potential metabolites (VIP >1, |Pcorr| >0.58, CUFjk excludes 0, P < 0.05) contributing to AD progress were identified. The metabolic pathway analysis with MetPA revealed that glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism and tryptophan metabolism were disturbed in mouse model of AD. After HLJDT treatment, 14 metabolites were restored back to the control-like levels., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Traditional Chinese medicine (TCM) materials with closely related species are frequently fungible in clinical use. Therefore, holistic comparison of the composition in bioactive compounds is essential to evaluate whether they are equivalent in efficacy. Taking three officinal species of Callicarpa as a case, we proposed and validated a standardized strategy for the discrimination of closely related TCM materials, which focused on the extraction, profiling and multivariate statistical analysis of their biochemome. Firstly, serial liquid-liquid extractions were utilized to prepare different batches of Callicarpa biochemome, and the preparation yields were utilized for the normalization of sampling quantity prior to UHPLC-IT-MS analysis. Secondly, 34 compounds, including 19 phenylethanoid glycosides, 10 flavonoids and 5 terpenoids, were identified based on an untargeted UHPLC-IT-MS method. Thirdly, method validation of linearity, precision and stability showed that the UHPLC-IT-MS system was qualified (R 2 >0.995, RSD<15%) for subsequent biochemome profiling. After PCA and PLS-DA analysis, 30 marker compounds were screened and demonstrated to be of good predictability using genetic algorithm optimized support vector machines. Finally, a heatmap visualization was employed for clarifying the distribution of marker compounds, which could be helpful to determine whether the three Callicarpa species are, in fact, equivalent substitutes. This study provides a standardized biochemome profiling strategy for systemic comparison analysis of closely related TCM materials, which shows promising perspectives in tracking the supply chain of pharmaceutical suppliers., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Clematidis Radix et Rhizoma is a traditional Chinese medicine widely used for treating arthritic disease. Clematis triterpenoid saponins (TS) and clematichinenoside AR (C-AR) have been considered to be responsible for its antiarthritic effects. However, the underling mechanism is still unclear because of their low bioavailability. To address of this issue, metabolomics tools were performed to determine metabolic variations associated with rheumatoid arthritis (RA) and responses to Clematis TS, C-AR and positive drug (Triptolide, TP) treatments. This metabolomics investigation of RA was conducted in collagen-induced arthritis (CIA) rats. Liquid chromatography/mass spectrometry and multivariate statistical tools were used to identify the alteration of serum and urine metabolites associated with RA and responses to drug treatment. As a result, 45 potential metabolites associated with RA were identified. After treatment, a total of 24 biomarkers were regulated to normal like levels. Among these, PC(18:0/20:4), 9,11-octadecadienoic acid, arachidonic acid, 1-methyladenosine, valine, hippuric acid and pantothenic acid etc, were reversed in Clematis TS and C-AR groups. Tetrahydrocortisol was regulated to normal levels in Clematis TS and TP groups, while 3,7,12-trihydroxycholan-24-oic acid was regulated in C-AR and TP groups. Biomarkers like citric acid, p-cresol glucuronide, creatinine, cortolone were reversed in TP group., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Herein, rapid and efficient identification of species of medicinal Ephedrae Herba was performed using DI-MS (direct ionization-mass spectrometry)-based metabolomics analysis. As a direct ionization technique, DI-MS can provide rapid analysis of samples without sample preparation, so it has been advantageously applied to high-throughput metabolomics analysis. In this flow chart, the MS fingerprints of Ephedrae Herba samples obtained by DI-MS method were firstly pretreated by background subtracts, smooth and center procedures to extract MS features. Then, these MS features were aligned using in a house program written in MATLAB to produce MS dataset. After that, PCA and PLS-DA analysis were performed based on the obtained MS dataset. Finally, the parameter VIP (Variable importance in the Projection) was employed to screen the valuable MS features for discrimination. Using such an approach, three medicinal species of Ephedrae Herba, Ephedra sinica, Ephedra intermedia, and Ephedra equisetina., had been successfully differentiated. Additionally, this method has also been applied to identify the changes in components of Ephedrae Herba after honey treated. In present study, DI-MS in combination with metabolomics was shown to be an efficient and accurate way to identify the sources of herbs., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Spinosin, a major bioactive herbal ingredient isolated from Semen Ziziphi Spinosae, plays an important role in sedation and hypnosis. However, the pharmacokinetic behavior of spinosin in special sites has not been reported. Microdialysis (MD) technique, as a continuous, realtime monitoring sampling technique, is very suitable for the evaluation of the disposition of diverse drugs. To obtain more useful information on spinosin, an in vivo microdialysis sampling technique with High Performance Liquid Chromatography-mass spectrograph (HPLC-MS) method was developed to investigate the pharmacokinetics of spinosin and its interaction with cyclosporin A (CsA) in the brain, blood and bile of rats. The method was validated in terms of selectivity, linearity and sensitivity, and showed advantages in monitoring the pharmacokinetic behavior of drugs. The results revealed that CsA has obvious effects on the pharmacokinetic process of spinosin. When co-administered, the area under the curve (AUC) of spinosin in blood, bile and brain increased from 205.70 to 673.51 mg min/L, 7.77 × 10(4) to 1.25 × 10(5) mg min/L, and 2.09 to 5.58 mg min/L, respectively. The t(1/2) values of spinosin in blood, bile and brain also changed from 48.07 to 95.04 min, from 97.20 to 152.21 and from 42.18 to 73.83 min, respectively. These results demonstrated that the CsA decreased the efflux of spinosin through the inhibition of P-glycoprotein (P-gp) efflux transporter and it might be used as a group of P-gp substrate. Other transporters or pathways may also be involved in the metabolism of spinosin., (Copyright © 2011 Elsevier B.V. All rights reserved.)