Ultra‐performance Liquid Chromatography–High‐definition Mass Spectrometry Analysis of Constituents in the Root of Radix Stemonae and those Absorbed in Blood after Oral Administration of the Extract of the Crude Drug

Dong, Wei; Wang, Ping; Meng, Xiangcai; Sun, Hui; Zhang, Aihua; Wang, Weiming; Dong, Honglin; Wang, Xijun

doi:10.1002/pca.2370

Cited by 72 publications

(42 citation statements)

References 21 publications

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“…Fortunately, the multivariate data mining method (MMA) has proved to be helpful in elucidating the effective constituents in herbal medicines in order to assess and control the overall quality. 12 The experimental setup for LC/MS coupled with the multiple data processing approach is shown in Fig. 8 LC-MS has enjoyed a growing popularity as a platform for herbal medicine studies because its high throughput, so ionization, and good coverage of metabolites offers a robust, reliable and economical method for quantitative constituent analysis.…”

Section: Introductionmentioning

confidence: 99%

UPLC-Q-TOF-MS/MS fingerprinting for rapid identification of the chemical constituents of Ermiao Wan

Zou

Zhang

et al. 2015

Anal. Methods

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In this work, a novel and efficient determination method for the rapid identification of multi-class chemical constituents of Ermiao Wan has been developed. UPLC-Q-TOF-MS/MS fingerprinting was coupled to a data mining method to more efficiently detect ion signals from accurate mass data. Ermiao Wan (EW) is a combination formula of Cortex Phellodendri Chinensis and Rhizoma Atractylodis that is commonly used to treat gout and hyperuricemia, as described in the State Pharmacopoeia of the People's Republic of China. However, the chemical constituents of EW remain unclear to date. In the present study, the multiple compounds in EW were extracted and simultaneously determined under optimized conditions. A Waters UPLC BEH C 18 column was used to separate the target analytes, followed by tandem mass spectrometry (MS/MS) detection using an electro-spray ionization source in positive and negative mode. As a result, a total of 100 compounds (45 ions in positive mode, 55 ions in negative mode) were detected. Among them, 93 components were tentatively identified by analysing the retention times and subsequent mass spectrometry fragment ions. UPLC-Q-TOF-MS/MS analysis revealed the complexity of the chemical composition of this formula. The integration of the multivariate data mining (MMA) with UPLC-Q-TOF-MS/ MS was demonstrated to be a valuable strategy for the rapid screening and identification of major EW constituents.chemical ngerprinting is a simple, rapid, and robust methodology for pharmaceutical analysis that has promising prospects for the separation and identication of herbal medicines and related products.

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Section: Introductionmentioning

confidence: 99%

UPLC-Q-TOF-MS/MS fingerprinting for rapid identification of the chemical constituents of Ermiao Wan

Zou

Zhang

et al. 2015

Anal. Methods

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“…All of these herbs were confirmed as being able to regulate the neuroendocrine hypofunction89101112131415, which is closely related to multiple disordered metabolic pathways of “Kidney-Yang deficiency syndrome” (KYDS) such as damage to the hypothalamic-pituitary-target gland (adrenal, thyroid, and gonad) axis1617181920. However, the therapeutic mechanism, effective constituents, and potential targets of AS1350 effects on KYDS are unclear.…”

mentioning

confidence: 99%

High-throughput chinmedomics-based prediction of effective components and targets from herbal medicine AS1350

Liu

Zhang

Wang

et al. 2016

Sci Rep

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This work was designed to explore the effective components and targets of herbal medicine AS1350 and its effect on “Kidney-Yang Deficiency Syndrome” (KYDS) based on a chinmedomics strategy which is capable of directly discovering and predicting the effective components, and potential targets, of herbal medicine. Serum samples were analysed by UPLC-MS combined with pattern recognition analysis to identify the biomarkers related to the therapeutic effects. Interestingly, the effectiveness of AS1350 against KYDS was proved by the chinmedomics method and regulated the biomarkers and targeting of metabolic disorders. Some 48 marker metabolites associated with alpha-linolenic acid metabolism, fatty acid metabolism, sphingolipids metabolism, phospholipid metabolism, steroid hormone biosynthesis, and amino acid metabolism were identified. The correlation coefficient between the constituents in vivo and the changes of marker metabolites were calculated by PCMS software and the potential effective constituents of AS1350 were also confirmed. By using chinmedomics technology, the components in AS1350 protecting against KYDS by re-balancing metabolic disorders of fatty acid metabolism, lipid metabolism, steroid hormone biosynthesis, etc. were deduced. These data indicated that the phenotypic characterisations of AS1350 altering the metabolic signatures of KYDS were multi-component, multi-pathway, multi-target, and overall regulation in nature.

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“…Compounds may be functional by oxidation, hydrolysis or reduction; primary metabolites may also undergo conjugation reactions to form secondary metabolites. 34, 35 Our results show that the BSNXD-derived serum increases ER β expression in HUVECs, and results in an enhanced NO and reduced MDA production. ER β other than ER α antagonist can block these effects induced by the drug-derived serum; meanwhile, NOS inhibitor can significantly decrease the NO production in HUVECs.…”

Section: Discussionmentioning

confidence: 59%

Anti-inflammatory effects of a Chinese herbal medicine in atherosclerosis via estrogen receptor β mediating nitric oxide production and NF-κB suppression in endothelial cells

Wang

Qin

et al. 2013

Cell Death Dis

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Bu-Shen-Ning-Xin Decoction (BSNXD) administration has alleviated the early pathologic damage of atherosclerosis by inhibiting the adhesion molecule expression and upregulating the estrogen receptor (ER) β expression in endothelial cells, and increasing the serum nitric oxide (NO) level without any effect on serum lipid status, endometrium and fat deposition in liver in ovariectomized rabbits. The BSNXD-derived serum increases ER β expression in the human umbilical vein endothelial cells (HUVECs), and decreases malondialdehyde (MDA) production, and upregulates eNOS expression then increases NO synthesis through ERβ-dependent pathway. NO not only suppresses the LPS-induced NF-κB transcription in HUVECs, but also decreases apoptosis of endothelial cells. The BSNXD-derived serum decreases monocyte chemoattractant protein-1 production, and suppresses cell adhesion molecules (ICAM-1, VCAM-1 and E-selectin) expression in HUVECs injured by oxidized low-density lipoproteins (ox-LDL), and these effects can be abolished by ERβ antagonist (R,RTHC) and NO synthase inhibitor (L-NAME). The BSNXD-derived serum-treated HUVECs supernatant reduces CCR2, LFA-1 and VLA-4 expression in monocytes cell line U937 cells, which in turn inhibits adherence of U937 to injured endothelial cells. NO synthesis increases, and MDA production decreases through ERβ-mediated pathway that suppresses apoptosis and NF-κB activity in endothelial cells that downregulates adhesion molecules expression on endothelial cells via ERβ/NO/NF-κB pathway, and in turn leukocyte adhesion, which suggests BSNXD potential value in prophylaxis atherosclerosis.

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Ultra‐performance Liquid Chromatography–High‐definition Mass Spectrometry Analysis of Constituents in the Root of Radix Stemonae and those Absorbed in Blood after Oral Administration of the Extract of the Crude Drug

Cited by 72 publications

References 21 publications

UPLC-Q-TOF-MS/MS fingerprinting for rapid identification of the chemical constituents of Ermiao Wan

UPLC-Q-TOF-MS/MS fingerprinting for rapid identification of the chemical constituents of Ermiao Wan

High-throughput chinmedomics-based prediction of effective components and targets from herbal medicine AS1350

Anti-inflammatory effects of a Chinese herbal medicine in atherosclerosis via estrogen receptor β mediating nitric oxide production and NF-κB suppression in endothelial cells

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