Metabonomic analysis of the anti‐inflammatory effects of volatile oils of Angelica sinensis on rat model of acute inflammation

Metabonomics based on GC‐MS was used to study the possible anti‐inflammatory mechanisms of volatile oils of Angelica sinensis (VOAS) in rats with acute inflammation. Acute inflammation was induced by subcutaneous injection of carrageenan in rats. The levels of prostaglandin E₂ (PGE₂), histamine (HIS) and 5‐hydroxytryptamine (5‐HT) in the inflammatory fluid were detected. Principal component analysis and orthogonal partial least squares‐discriminant analysis models were performed for pattern recognition analysis. After the administration of VOAS, the levels of PGE₂, HIS, and 5‐HT returned to levels observed in normal group. According to GC‐MS analysis, the intervention of VOAS in rats with acute inflammation induced substantial and characteristic changes in their metabolic profiles. Fourteen metabolite biomarkers, namely, lactic acid, malic acid, citric acid, trans‐dehydroandrosterone, aldosterone, linoleic acid, hexadecanoic acid, pregnenolone, octadecenoic acid, myristic acid, l ‐histidine, octadecanoic acid, arachidonic acid (AA) and l ‐tryptophan, were detected in the inflammatory fluid. The levels of all biomarkers either increased or decreased significantly in model groups. VOAS possibly intervened in the metabolic process of inflammation by altering histidine metabolism, tryptophan metabolism, AA metabolism, steroid hormone biosynthesis, fatty acid metabolism and energy metabolism. Metabonomics was used to reflect an organism's physiological and metabolic state comprehensively, and it is a potentially powerful tool that reveals the anti‐acute‐inflammatory mechanism of VOAS. Copyright © 2014 John Wiley & Sons, Ltd.     

Chemical composition analysis of Angelica sinensis (Oliv.) Diels and its four processed products by ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry combining with nontargeted metabolomics

Angelica sinensis (Oliv.) Diels. has been used for women to enrich the blood, prevent and treat blood deficiency syndrome in Traditional Chinese Medicine for thousands of years. Wine-processed Angelica sinensis, soil-processed Angelica sinensis, oil-processed Angelica sinensis, and charred-processed Angelica sinensis are the most significant four processed products used in Chinese clinic. However, there have been few studies aimed at comparing their chemical differences. Ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry combining with nontargeted metabolomics was applied to investigate the diversity of processed products of Angelica sinensis. A total of 74 compounds with the variable importance in the projection value more than 1.5 and P less than 0.05 in ANOVA were highlighted as the compounds that contribute most to the discrimination of Angelica sinensis and four processed products. The results showed the metabolic changes between Angelica sinensis and its four processed products, there were 19 metabolites, 3 metabolites, 6 metabolites, and 45 metabolites were tentatively assigned in soil-processed Angelica sinensis, wine-processed Angelica sinensis, oil-processed Angelica sinensis, and charred-processed Angelica sinensis, respectively. These results suggested that the proposed metabolomics approach was useful for the quality evaluation and control of processed products of Angelica sinensis.     

Molecular Weight and Proposed Structure of the Angelica sinensis Polysaccharide‐iron Complex

The molecular weight and the proposed structure of the Angelica sinensis polysaccharide‐iron complex (APIC) were studied. Fourier transform infrared spectroscopy, X‐ray powder diffraction, differential scanning calorimetry, transmission electron microscopy, electron paramagnetic resonance, thermogravimetric analysis, atomic force microscopy, and gel filtration chromatography were used to characterize APIC, which is a macromolecule complex composed of Angelica sinensis polysaccharide (ASP) and iron. The structure of APIC was proposed to be a polynuclear ferrihydrite core chelated firmly by an encircling framework of ASP chains, forming a core molecule, which is surrounded by a removable outer protective sheath of colloidal ASP. And the molecular formula of APIC was proposed to be {[(Fe₂O₃·2.2H₂O)₁₀₄₃(ASP)₃₂](ASP)₁₂}, with MW=270000 Da.     

A new method providing complementary explanation of the blood-enriching function and mechanism of unprocessed Angelica sinensis and its four kinds of processed products based on tissue-integrated metabolomics and confirmatory analysis

Angelica sinensis (AS) is a common Traditional Chinese Medicine used for tonifying blood in China. Unprocessed AS and its four kinds of processed products (ASs) are used to treat blood deficiency syndrome in the country. The different blood-tonifying mechanisms of ASs remain unclear. In this work, a novel method integrating metabolomics and hematological and biochemical parameters was established to provide a complementary explanation of blood supplementation mechanism of ASs. Our results revealed that different ASs exhibited various blood supplementation effect, and that AS parched with alcohol demonstrated the best blood supplementation effect. Eight metabolites from liver tissue and 12 metabolites from spleen tissue were considered to be potential biomarkers. These biomarkers were involved in four metabolic pathways. Correlation analysis results showed that l -aspartic acid and l -alanine (spleen tissue), linoleic acid, and l -cystathionine (liver tissue) exhibited a high positive or negative correlation with the aforesaid biochemical indicators. The blood-supplementation effect mechanism of ASs were related to four metabolic pathways. l -Aspartic acid and l -alanine (spleen tissue), linoleic acid, and l -cystathionine (liver tissue) were the four key metabolites associated with the blood supplementation effect of ASs. This study gives a complementary explanation of the blood supplementation effect and mechanism of action of ASs.     

Urinary metabolomics of complete Freund's adjuvant‐induced hyperalgesia in rats

The aim of this study was to demonstrate the differences of metabolomics changes in a hyperalgesia model and find potent biomarkers of hyperalgesia. Seven rats were placed in metabolic cages. An emulsion containing 500 μg of Complete Freund's adjuvant (CFA) was used to induce hyperalgesia. Urine samples were collected prior to the injection of CFA and on post‐injection days 1, 3 and 7. Ultraperformance liquid chromatography, coupled with quadrupole‐time‐of‐flight mass spectrometry (UHPLC‐Q‐TOF/MS), was used for a quantitative analysis of urinary metabolic changes in the CFA‐induced hyperalgesia model. Differences between the metabolic profiles of the rats in the four groups were analyzed using partial least squares discriminant analysis. Thirty‐four potential urine metabolite biomarkers were identified, which changed in a trend similar to the pain threshold. These potential biomarkers were involved in 11 metabolic pathways, as follows: alanine, aspartate, and glutamate metabolism; ascorbate and aldarate metabolism; glycerolipid metabolism; glycerophospholipid metabolism; histidine metabolism; phenylalanine metabolism; sphingolipid metabolism; tryptophan metabolism; tyrosine metabolism; valine, leucine and isoleucine biosynthesis; and vitamin B6 metabolism. These results may improve our understanding of hyperalgesia and provide a basis for the clinical diagnosis of hyperalgesia.     

Metabolomics study on promoting blood circulation and ameliorating blood stasis: Investigating the mechanism of Angelica sinensis and its processed products

Angelica sinensis (Danggui, DG) parched with alcohol (Jiu Danggui, JDG) and charred DG are the main processed products of DG, which are used to treat blood stasis syndrome (BSS). However, their therapeutic effect and mechanisms are still unclear. Based on an acute rat BSS model, the intervention effects of DG and its processed products (DGPPs) were evaluated by the hemorheology and coagulation function parameters. Meanwhile, plasma and urine metabolites were detected and analyzed by liquid chromatography coupled to quadrupole time‐of‐flight mass spectrometry and multivariate statistical analysis method. The results of hemorheology, coagulation function parameters and metabolomics all showed that the BSS model was successfully established, DGPPs intervention could significantly relieve rats BSS and the therapeutic effect of JDG was best. Moreover, 23 differential metabolites (14 in plasma and nine in urine) were identified that were closely related to the BSS, involving seven potential target metabolic pathways. DGPP intervention showed different degrees of reverse effect on these metabolites. JDG was the most effective owing to extensive regulation effect on differential metabolites. This study provides a reference for understanding the pathological mechanism of BSS and the mechanism of DGPPs, which lays a theoretical foundation for the rational use of DGPPs in clinical practice.     

Simultaneous determination of eight components in Angelica sinensis based on UHPLC‐ESI‐MS/MS method for quality evaluation

A method employing ultra‐high performance liquid chromatography–tandem mass spectrometry (UHPLC–MS/MS) for determination of eight components including ferulic acid, senkyunolide A, butylphthalide, ligustilide, butylidenephalide, senkyunolide I, senkyunolide H and levistolide A in Angelica sinensis was established. The separation was carried out using a Waters ACQUITY UHPLC BEH C₁₈ column with gradient elution with 0.1% formic acid aqueous and acetonitrile at a flow rate of 0.4 mL/min. Good linearity was attained with R² of 0.9983–0.9998 in wide concentration ranges. The method had limit of detection (LOD) and quantitation (LOQ) in the range of 0.42–6.98 ng/mL and 1.39–23.28 ng/mL, respectively. Intra‐ and inter‐day precisions varied with relative standard deviations (RSDs) from 0.33% to 0.88% and 0.37% to 1.04%, respectively. Moreover, the average recoveries were in a satisfactory range of 92.7%–102.1% with RSDs of less than 3.60%. Finally, the method was successfully applied to analyze 19 batches of A. sinensis samples grown in Min County, Gansu province, China, as well as that collected in other regions. The findings indicated that the established method is reliable and may thus be applied as a powerful tool for qualitative and quantitative analysis of components in A. sinensis, which has its implications in quality control of A. sinensis.     

Quick and selective extraction of Z‐ligustilide from Angelica sinensis using magnetic multiwalled carbon nanotubes

A facile and highly efficient magnetic solid‐phase extraction method has been developed for Z‐ligustilide, the major therapeutic agent in Angelica sinensis. The solid‐phase adsorbent material used was prepared by conjugating carbon nanotubes with magnetic Fe₃O₄ nanoparticles via a hydrothermal reaction. The magnetic material showed a high affinity toward Z‐ligustilide due to the π–π stacking interaction between the carbon nanotubes and Z‐ligustilide, allowing a quick and selective exaction of Z‐ligustilide from complex sample matrices. Factors influencing the magnetic solid‐phase extraction such as the amount of the added adsorbent, adsorption and desorption time, and desorption solvent, were investigated. Due to its high extraction efficiency, this method was proved highly useful for sample cleanup/enrichment in quantitative high‐performance liquid chromatography analysis. The proposed method had a linear calibration curve (R² = 0.9983) over the concentration between 4 ng/mL and 200 μg/mL Z‐ligustilide. The accuracy of the method was determined by the recovery, which was from 92.07 to 104.02%, with the relative standard deviations >4.51%.     

UPLC–QTOF/MS‐based metabolomics reveals the mechanism of chronic unpredictable mild stress‐induced hypertension in rats

Hypertension is a common chronic disease, and it is the strongest risk factor for cardiovascular disease. Recently, the number of patients with hypertension‐related complications has increased significantly, adding a heavy burden to the public health system. It is known that chronic stress plays an important role in the pathogenesis of cardiovascular diseases such as hypertension and stroke. However, the impact of hypertension on the dysfunctions induced by chronic stress remains poorly understood. In this study, using LC–MS‐based metabolomics, we established a chronic stress model to demonstrate the mechanisms of stress‐induced hypertension. We found that 30 metabolites in chronically stressed rats were changed; of these metabolites, seven had been upregulated, and 23 had been downregulated, including amino acids, phospholipids, carnitines and fatty acids, many of which are involved in amino acid metabolism, cell membrane injury, ATP supply and inflammation. These metabolites are engaged in dysregulated pathways and will provide a targeted approach to study the mechanism of stress‐induced hypertension.     

当归多糖ASP3的甲基化分析

通过部分酸水解和甲基化分析, 结合GC-MS测试手段, 对当归多糖ASP3的糖链结构进行了研究. 采用0.2 mol/L三氟乙酸(Trifluoroacetic acid, TFA)对ASP3进行了部分酸水解, 对水解前后的多糖组分进行甲基化分析. 结果显示: ASP3的糖残基主要由D-GalpA, D-Galp, L-Araf和L-Rhap组成, 主链由1,4-D-GalpA连接, 形成“光滑区”半乳糖醛酸聚糖, 由1,4-D-GalpA通过O-4位与1,2-; 1,2,4-L-Rhap的O-2位交替连接形成含有较多分支的“毛发区”鼠李半乳糖醛酸聚糖. 58.8%的Rhap残基发生O-4位取代(1,2,4-L-Rhap). 由T-, 1,5-, 1,3,5-Araf和T-, 1,3-, 1,3,6-, 1,4-, 1,4,6-D-Galp聚合形成的阿拉伯半乳聚糖、半乳聚糖以及阿拉伯聚糖是ASP3侧链的主要组成, 通过Rhap残基的O-4位与主链相连.     

A new procedure for the preparative separation and isolation of Z-ligustilide from the roots of Angelica sinensis

A new procedure for the separation and isolation of Z-ligustilide from the roots of Angelica sinensis (AS) was developed, and the storage conditions for Z-ligustilide were optimized. Using the present procedure, Z-ligustilide was enriched by decomposing the Z-ligustilide dimers yielding Z-ligustilide and dissolving the polar impurities in hot water. Then, the crude Z-ligustilide was further purified by a semipreparative HPLC system. The spiked and nonspiked samples were used for the evaluation of the proposed procedure. Recoveries obtained varied from 86.2 to 90.7% and RSDs from 4.0 to 6.6%. The yield and purity of the isolated Z-ligustilide were found to be 4.57 mg/g and 99.6%, respectively. The results of stability tests have shown that the presence of oxidant contributes to Z-ligustilide degradation, therefore argon was chosen as a shielding gas for storage. The overall procedure is efficient and convenient which is considered suitable for the preparative separation of Z-ligustilide from AS.     

当归多糖ASP3及其水解产物的NMR光谱分析

对当归多糖ASP3的糖链结构进行分析. 分别采用0.2 mol/L三氟乙酸(Trifluoroacetic acid, TFA)和内切-α-(1→4)-聚半乳糖醛酸酶(EndoPG)对ASP3进行部分酸水解和酶水解, 并对水解前后多糖组分的1D和2D NMR光谱特征进行分析. 实验结果表明, ASP3是一种果胶多糖. GalpA和Rhap位于多糖分子的主链, 由1→4-D-GalpA相连形成的“光滑区”(半乳糖醛酸聚糖)是其主要组成部分; 由α-(1→4)-GalpA通过O4位与α-(1→2)-和α-(1→2,4)-Rhap的O2位交替连接所形成的重复单元[→4)-α-GalpA-(1→2)-α-Rhap-(1→]构成具有较高分支的“毛发区”(富含中性糖侧链的鼠李半乳糖醛酸聚糖). Galp和Araf是中性糖侧链的主要组成, 通过Rhap残基的O4位与主链相连. 非还原性末端T-β-Galp, β-(1→3)-, β-(1→3,6)-, β-(1→4)-, β-(1→4,6)-Galp聚合形成以β-(1→3,6)-Galp为分支点的β-(1→6)-半乳聚糖和以β-(1→4,6)-Galp为分支点的β-(1→4)-半乳聚糖. T-α-Araf, α-(1→5)-Araf和α-(1→3,5)-Araf聚合形成以α-(1→3,5)-Araf为分支点的α-(1→5)-阿拉伯聚糖. 此外, 由α-(1→5)-阿拉伯聚糖通过α-(1→3)连接与β-(1→6)-半乳聚糖末端聚合形成阿拉伯半乳聚糖.     

Screening of polysaccharides from the differently processed products of Angelica sinensis with the best liver protection effect on chicken and the intervention mechanism study based on tandem mass tag proteomics and multiple reaction monitoring approach

The incidence of colibacillosis in poultry is on the rise, significantly affecting the chicken industry. Ceftiofur sodium (CS) is frequently employed to treat this disease, resulting in lipopolysaccharide (LPS) buildup. Processing plays a vital role in traditional Chinese veterinary medicine. The potential intervention in liver injury by polysaccharides from the differently processed products of Angelica sinensis (PDPPAS) induced by combined CS and LPS remains unclear. This study aims to investigate the protective effect of PDPPAS on chicken liver injury caused by CS combined with LPS buildup and further identify the polysaccharides with the highest hepatoprotective activity in chickens. Furthermore, the study elucidates polysaccharides’ intervention mechanism using tandem mass tag (TMT) proteomics and multiple reaction monitoring (MRM) methods. A total of 190 1-day-old layer chickens were randomly assigned into 12 groups, of which 14 chickens were in the control group and 16 in other groups, for a 10-day trial. The screening results showed that charred A. sinensis polysaccharide (CASP) had the most effective and the best hepatoprotective effect at 48 h. TMT proteomics and MRM validation results demonstrated that the intervention mechanism of the CASP high-dose (CASPH) intervention group was closely related to the protein expressions of FCER2, TBXAS1, CD34, AGXT, GCAT, COX7A2L, and CYP2AC1. Conclusively, the intervention mechanism of CASPH had multitarget, multicenter regulatory features.     

超高效液相色谱-串联质谱法对比11种净化方式对当归中50种农药残留检测的影响

采用超高效液相色谱-串联质谱仪(UPLC-MS/MS)同时测定当归药材中50种农药残留,对比了11种净化方式对检测结果的影响,筛选出最有效的基质净化方法。 以回收率为考察指标,评估了不同基质净化方法对当归中多农残的提取净化效果,最终确定样品经乙腈提取,NaCl净化,在电喷雾正负离子扫描、依赖保留时间的动态多反应监测模式(dMRM)下,以基质匹配内标法定量。 结果表明,50种农药在NaCl净化法下回收率最高,在各自的浓度范围内线性关系良好(R²>0.99);3个添加水平(10、50、100 μg/kg)下,大多数农药的回收率为70.1%~117.7%,相对标准偏差(RSD,n=6)不大于 20.0%,50种农药的定量限为1.0~20.0 μg/kg。 该方法为当归中准确、高效、经济的检测目标物提供了可靠依据。     

A wide‐targeted urinary and serum metabolomics strategy reveals the effective substance of the Wu‐tou decoction

As an important Chinese medicine decoction, Wu‐tou decoction has been used to treat rheumatic arthritis for more than a thousand years. We previously reported that the Wu‐tou decoction could change the urinary and serum metabolites in adjuvant‐induced arthritis rats significantly. The purpose of this research was to confirm the potential biomarkers obtained by previous non‐targeted metabolomics study through quantitative analysis by liqui chromatography with tandem mass spectrometry, in the meantime, to further study the effective material basis of Wu‐tou decoction. Firstly, the important compounds in the tryptophan metabolism pathway, the arginine and proline metabolism pathway, the amino acid metabolism pathway, the tricarboxylic acid cycle, the vitamin B₆ metabolism pathway, and the phenylalanine metabolism pathway, which were identified as potential biomarkers in previous study, were selected for quantitative analysis. Then the linearity, limit of detection, limit of quantification, selectivity, accuracy, precision, stability, recovery, and matrix effect of the quantitative method were examined. Finally, ten and eighteen metabolites were quantitatively analyzed in the serum and urine, respectively. The results showed that seven out of ten serum potential biomarkers and ten out of eighteen urine potential biomarkers were confirmed as real biomarkers. This research provides a powerful reference for the study on effective material basis of Wu‐tou decoction.     

Urinary metabolite profiling provides potential differentiation to explore the mechanisms of adjuvant‐induced arthritis in rats

To explore the pathogenesis of rheumatoid arthritis (RA) from the perspective of metabolomics, gas chromatography time‐of‐flight mass spectrometry (GC‐TOF/MS) technology was used to observe changes in the metabolic profiles of urine output from rats with adjuvant‐induced arthritis (AA). Sprague–Dawley rats were randomly divided into a control group and an experimental group, with eight in each. Rats in the experimental group were induced by intracutaneous innoculation of 0.1 mL Freund's complete adjuvant to right paws. On day 20 after immunization, the metabolic profiles between rat control and experimental groups were compared by combining GC‐TOF/MS technology with multivariate statistical approaches, including principal component analysis, partial least squares discriminant analysis and orthogonal projections to latent structures–discriminant analysis. Nine potential biomarkers were identified, including 2,2‐dimethylsuccinic acid, tartronic acid, dehydroshikimic acid, hippuric acid, adenine, phenaceturic acid, l ‐dopa, 1,4‐dihydroxy‐2‐naphthoic acid and melibiose. The findings indicate that the rats with AA are disturbed in metabolism of purine, amino acid, fat and energy. This study also demonstrates that the dysfunction in a range of biosynthetic and catabolic pathways, which leads to increased oxygen free radicals and inflammation, could cause underlying pathogenesis of RA. Copyright © 2016 John Wiley & Sons, Ltd.     

Metabolomics analysis of human plasma metabolites reveals the age- and sex-specific associations

Abstract

Objectives: The objective of this study was the investigation of age- and sex-associations in a set of blood plasma metabolites in healthy male and female subjects.

Methods: A comparison study design with male and female subjects of various ages was used. Metabolic profiling was performed using electrospray ionization tandem mass spectrometry that yielded 186 metabolite concentrations for each study participant. The key age-related metabolites were identified using an integrative analysis of absolute concentrations, metabolite ratios and the differential correlation of pairwise metabolite concentrations. All of the age-associated metabolites were adjusted prior to the analysis to account for differences in Body Mass Index (BMI).

Results: A total of 236 plasma samples from 140 female and 96 male subjects aged 20 to 82 years-old were collected and analyzed in the study. 13 and 14 age-associated metabolites (|r|?>?0.33 and p < 6.6×10^?5), 438 and 337 age-associated metabolite ratios (|r|?>?0.37 and p < 3.5×10^?6), and 5 and 10 core metabolites were discovered in the female and male groups, respectively. 80% of the metabolites displaying associations with age belonged to sphingolipids and phosphatidylcholines, and the two sexes shared less than 50% of the age-associated metabolites.

Conclusion: The study found that changes in metabolite concentrations, metabolite ratios and differential correlations were age and sex-specific.     

Effects of Tao‐Hong‐Si‐Wu decoction on acute blood stasis in rats based on a LC‐Q/TOF‐MS metabolomics and network approach

A novel approach using metabolomics coupled with a metabolic network was used to investigate the effects of Tao‐Hong‐Si‐Wu decoction (THSWD) on the rat model of acute blood stasis syndrome. Acute blood stasis syndrome was induced by placing the rats in ice‐cold water following two injections with epinephrine. The hemorheological indicators [whole blood viscosity (WBV) and plasma viscosity (PV)] and the blood coagulation indicators [thrombin time (TT), prothrombin time (PT), activated partial thromboplastin time (APTT) and fibrinogen (FIB)] were detected. The nonparametric univariate method and multivariate statistical analysis were performed for determining the potential biomarkers. A correlation map was structured between biochemical indicators and hub metabolites to explain the effects mechanism of THSWD. After the administration of THSWD, the levels of WBV, PV, TT, APTT and FIB returned to levels observed in the control group. According to metabolomics coupled with metabolic network analysis, the intervention of THSWD in rats with acute blood stasis syndrome induced substantial and characteristic changes in their metabolic profiles. Fifteen metabolites were screened, which mainly involved 10 pathways and five hub metabolites, namely, l ‐glutamate, l ‐phenylalanine, N‐acylsphingosine, arachidonic acid and phosphatidate. The biochemical indicators and hub metabolites could be adjusted to close to normal levels by THSWD. Therefore, combining metabolomics and metabolic network helped to evaluate the effects of THSWD on acute blood stasis.     

Evaluation of the Quality of Angelica sinensis by High-Performance Liquid Chromatography

Quality control and consistent quality are prerequisites to guarantee the safety and efficacy of pharmaceutical preparations and dietary supplements. In this paper, the intra- and inter-annual consistency and stability of Angelica sinensis (Oliv.) Diels, cultivated according to Good Agricultural Practices (GAP) in the main production areas of China, were evaluated by high-performance liquid chromatographic fingerprints composed of twenty-four common components. Subsequently, thirteen compounds were identified in the chromatograms using diode array detection and mass spectrometry. Z-Ligustilide, senkyunolide H, senkyunolide I, and ferulic acid were determined to evaluate the distribution of chemical components. In addition, robust principal component analysis was applied to further evaluate the samples, and four discriminatory “markers” among the common twenty-four were pinpointed by the loading plots that were used to distinguish quality differences of Angelica sinensis from different harvest years.