[PM2.5 Source Apportionment Based on a Variety of New Receptor Models].

In order to understand the applicability of various new receptor models, four receptor models, including the positive matrix factorization/multilinear engine 2-species ratio (PMF/ME2-SR), partial target transformation-positive matrix factorization (PTT-PMF), positive matrix factorization (PMF), and chemical mass balance (CMB), were used to analyze and verify the atmospheric fine particulate matter (PM2.5) data of a typical city in northern China. It was found that coal combustion (25%-26%), dust (19%-21%), secondary nitrate (17%-19%), secondary sulfate (16%), vehicle emissions (13%-15%), biomass burning (4%-7%), and steel (1%-2%) had a contribution to PM2.5. By comparing the source profiles and source contributions obtained by different models and calculating the coefficient of differences (CD) and average absolute error (AAE) of each source, we found that although the source apportionment results of the four models were in good agreement (the average CD value was between 0.6 and 0.7), there were still slight differences in the identification of some components in each source. Compared with the traditional model (PMF), the PMF/ME2-SR model can better identify sources with similar source profile characteristics, which is due to the component ratios of sources that are introduced. For example, the CD and AAE of dust sources were 15% and 54% lower than those of PMF, respectively. The PTT-PMF model takes the measured primary source profiles and virtual secondary source profiles as a constraint target, and the calculated CD and AAE of secondary sulfate were 0.25 and 17%, respectively, which were 55% and 23% lower than PMF. The PTT-PMF model can obtain more "pure" secondary sources and identify the pollution sources that are not identified by other models, which has more advantages in the refined identification of sources.

A metabolomic perspective of pazopanib-induced acute hepatotoxicity in mice.

To elucidate the metabolism of pazopanib, a metabolomics approach was performed based on ultra-performance liquid chromatography coupled with electrospray ionization quadrupole mass spectrometry. A total of 22 pazopanib metabolites were identified in vitro and in vivo. Among these metabolites, 17 were novel, including several cysteine adducts and aldehyde derivatives. By screening using recombinant CYPs, CYP3A4 and CYP1A2 were found to be the main forms involved in the pazopanib hydroxylation. Formation of a cysteine conjugate (M3), an aldehyde derivative (M15) and two N-oxide metabolites (M18 and M20) from pazopanib could induce the oxidative stress that may be responsible in part for pazopanib-induced hepatotoxicity. Morphological observation of the liver suggested that pazopanib (300 mg/kg) could cause liver injury. The aspartate transaminase and alanine aminotransferase in serum significantly increased after pazopanib (150, 300 mg/kg) treatment; this liver injury could be partially reversed by the broad-spectrum CYP inhibitor 1-aminobenzotriazole (ABT). Metabolomics analysis revealed that pazopanib could significantly change the levels of L-carnitine, proline and lysophosphatidylcholine 18:1 in liver. Additionally, drug metabolism-related gene expression analysis revealed that hepatic Cyp2d22 and Abcb1a (P-gp) mRNAs were significantly lowered by pazopanib treatment. In conclusion, this study provides a global view of pazopanib metabolism and clues to its influence on hepatic function.

Blood and urinary metabolomic evidence validating traditional Chinese medicine diagnostic classification of major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is a highly heterogeneous disease. Further classification may characterize its heterogeneity. The purpose of this study was to examine whether metabolomic variables could differentiate traditional Chinese medicine (TCM) diagnostic subtypes of MDD. METHODS: Fifty medication-free patients who were experiencing a recurrent depressive episode were classified into Liver Qi Stagnation (LQS, n = 30) and Heart and Spleen Deficiency (HSD, n = 20) subtypes according to TCM diagnosis. Healthy volunteers (n = 28) were included as controls. Gas chromatography-mass spectrometry (GC-MS) was used to examine serum and urinary metabolomic profiles. RESULTS: Twenty-eight metabolites were identified for good separations between TCM subtypes and healthy controls in serum samples. Both TCM subtypes had similar profiles in proteinogenic branched-chain amino acids (BCAAs) (valine, leucine, and isoleucine) and energy metabolism-related metabolites that were differentiated from healthy controls. The LQS subtype additionally differed from healthy controls in multiple amino acid metabolites that are involved in biosynthesis of monoamine and amino acid neurotransmitters, including phenylalanine, 3-hydroxybutric acid, o-tyrosine, glycine, l-tryptophan, and N-acetyl-l-aspartic acid. Threonic acid, methionine, stearic acid, and isobutyric acid are differentially associated with the two subtypes. CONCLUSIONS: While both TCM subtypes are associated with aberrant BCAA and energy metabolism, the LQS subtype may represent an MDD subpopulation characterized by abnormalities in the biosynthesis of monoamine and amino acid neurotransmitters and closer associations with stress-related pathophysiology. The metabolites differentially associated with the two subtypes are promising biomarkers for predicting TCM subtype-specific antidepressant response [registered at http://www.clinicaltrials.gov (NCT02346682) on January 27, 2015].

Luteolin-4'-O-glucoside and its aglycone, two major flavones of Gnaphalium affine D. Don, resist hyperuricemia and acute gouty arthritis activity in animal models.

BACKGROUND: Gnaphalium affine D. Don is a folk medicine of China believed to be efficacious in the treatment of many ailments, including hyperuricemia and gout. PURPOSE: Based on a previous study, we isolated two flavones, luteolin and luteolin-4'-O-glucoside, from G. affine. Our aim was to assess the potential beneficial effects of treatment and mechanisms of these two flavones on hyperuricemia and acute gouty arthritis. METHODS: The model of potassium oxonate (PO)-induced hyperuricemia and monosodium urate (MSU) crystal-induced inflammation in mice has been established. We evaluated serum uric acid (Sur), xanthine oxidase (XO) activity, protein expression of urate transporter 1 (mURAT1) and glucose transporter 9 (mGLUT9) in renal and kidney protection in a hyperuricemia model. In addition, paw swelling and levels of interleukin-1ß (IL-1ß) and tumor necrosis factor-α (TNF-α) in serum were assessed in MSU crystal-induced mice. RESULTS: Luteolin and luteolin-4'-O-glucoside showed a potent clinical effect in treating hyperuricemia and gout. We observed that the two flavones possess potent effect in hyperuricemia mice by decreasing the level of mURAT1 and inhibiting XO activity, which contribute to enhancing uric acid (UA) excretion and improving hyperuricemia-induced renal dysfunction. In addition, luteolin and luteolin-4'-O-glucoside also alleviated paw swelling and inflammation induced by MSU crystals. Further investigation implied that luteolin and luteolin-4'-O-glucoside improved the symptoms of inflammation by decreasing the levels of IL-1ß and TNF-α. CONCLUSION: The present study suggests that luteolin and luteolin-4'-O-glucoside could be developed as therapeutics for treating hyperuricemia and gouty arthritis.

Metabolic profiling of dehydrodiisoeugenol using xenobiotic metabolomics.

Dehydrodiisoeugenol (DDIE), a representative and major benzofuran-type neolignan in Myristica fragrans Houtt., shows anti-inflammatory and anti-bacterial actions. In order to better understand its pharmacological properties, xenobiotic metabolomics was used to determine the metabolic map of DDIE and its influence on endogenous metabolites. Total thirteen metabolites of DDIE were identified through in vivo and in vitro metabolism, and seven of them were reported for the first time in the present study. The identity of DDIE metabolites was achieved by comparison of the MS/MS fragmentation pattern with DDIE using ultra-performance chromatography electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC-ESI- QTOFMS). Demethylation and ring-opening reaction were the major metabolic pathways for in vivo metabolism of DDIE. Recombinant cytochrome P450s (CYPs) screening revealed that CYP1A1 is a primary enzyme contributing to the formation of metabolites D1-D4. More importantly, the levels of two endogenous metabolites 2,8-dihydroxyquinoline and its glucuronide were significantly elevated in mouse urine after DDIE exposure, which explains in part its modulatory effects on gut microbiota. Taken together, these data contribute to the understanding of the disposition and pharmacological activities of DDIE in vivo.

Effects of Gnaphalium affine D. Don on hyperuricemia and acute gouty arthritis.

ETHNOPHARMACOLOGICAL RELEVANCE: The Gnaphalium affine D. Don is used in China as a folk medicine to treat gout, anti-inflammatory, antitussive and expectorant activities. The aim of this study was to evaluate the potential of the extract of G. affine to treat hyperuricemia and acute gouty arthritis in animal model. MATERIALS AND METHODS: G. affine extract was evaluated in an experimental model with potassium oxonate (PO) induced hyperuricemia in mice which was used to evaluate anti-hyperuricemia activity and xanthine oxidase (XO) inhibition. Therapies for acute gouty arthritis was also investigated on monosodium urate (MSU) crystal induced paw edema model. RESULTS: G. affine extract showed expressive results on active in reducing serum uric acid (Sur) through effect renal mGLUT9 and mURAT1 mainly and inhibit XO activity in vivo. The extract of G. affine also showed significant anti-inflammatory activity and reduced the paw swelling on MSU crystal-induced paw edema model. Meanwhile, eight major compounds were identified by HPLC-ESI-QTOF-MS/MS. CONCLUSIONS: The extract of G. affine showed significant effect on evaluated models and therefore may be active agents for the treatment of hyperuricemia and acute gouty arthritis.

Screening of Potential Xanthine Oxidase Inhibitors in Gnaphalium hypoleucum DC. by Immobilized Metal Affinity Chromatography and Ultrafiltration-Ultra Performance Liquid Chromatography-Mass Spectrometry.

In this study, a new method based on immobilized metal affinity chromatography (IMAC) combined with ultrafiltration-ultra performance liquid chromatography-mass spectrometry (UF-UPLC-MS) was developed for discovering ligands for xanthine oxidase (XO) in Gnaphalium hypoleucum DC., a folk medicine used in China for the treatment of gout. By IMAC, the high flavonoid content of G. hypoleucum could be determined rapidly and efficiently. UF-UPLC-MS was used to select the bound xanthine oxidase ligands in the mixture and identify them. Finally, two flavonoids, luteolin-4'-O-glucoside and luteolin, were successfully screened and identified as the candidate XO inhibitors of G. hypoleucum. They were evaluated in vitro for XO inhibitory activity and their interaction mechanism was studied coupled with molecular simulations. The results were in favor of the hypothesis that the flavonoids of G. hypoleucum might be the active content for gout treatment by inhibiting XO.

Multi-Optimization of Ultrasonic-Assisted Enzymatic Extraction of Atratylodes macrocephala Polysaccharides and Antioxidants Using Response Surface Methodology and Desirability Function Approach.

Rhizoma Atractylodes macrocephala polysaccharides (RAMP) have been reported to have a variety of important biological activities. In this study, an ultrasonic-assisted enzymatic extraction (UAEE) was employed to obtain the highest extraction yield and strongest antioxidant activity of RAMP and optimized by a multi-response optimization process. A three-level four-factor Box-Behnken design (BBD) was performed as response surface methodology (RSM) with desirability function (DF) to attain the optimal extraction parameters. The DPPH scavenging percentage was used to represent the antioxidant ability of RAMP. The maximum D value (0.328), along with the maximum yield (59.92%) and DPPH scavenging percentage (13.28%) were achieved at 90.54 min, 57.99 °C, 1.95% cellulase and 225.29 W. These values were further validated and found to be in good agreement with the predicted values. Compared to the other extraction methods, both the yield and scavenging percentage of RAMP obtained by UAEE was favorable and the method appeared to be time-saving and of high efficiency. These results demostrated that UAEE is an appropriate and effective extraction technique. Moreover, RSM with DF approach has been proved to be adequate for the design and optimization of the extraction parameters for RAMP. This work has a wide range of implications for the design and operation of polysaccharide extraction processes.

[Changed accumulation of active ingredient in different localities and growth period of Hemsleya zhejiangensis (Cucurbitaceae)].

In this paper, the content of moisture, ethanol-soluble extractives, total saponins and polysaccharide of different tuber samples of Hemsleya zhejiangensis, from different localities, years and seasons, were detected based upon Chinese Pharmacopoeia 2010 version. The samples of roots, stems and leaves in summer were detected as well. The results are mainly as follows. (1)With tuber quality increasing, the content of total saponins increased and then decreased. The individual quality of tubers getting 594.06 g, the content of total saponins reached the peak. (2) The content of active ingredients in different localities was significantly different, and the population of Wuyanling had the maximum content of total saponins and polysaccharide. (3) The content of active ingredients revealed stability between the years 2012 and 2013, but the content of polysaccharide was significantly different. The content in 2012 was higher than that of 2013. (4) The content of active ingredients reached the peak in autumn, which was the best harvest season. (5) Among different component content detection of nutritional organs, tubers had the maximum content of ethanol-soluble extractives, total saponins and polysaccharide. Leaves also contained higher content of ethanol-soluble extractives and total saponins than roots and stems. All of these provide theoretical basis for plant, harvest and production of H. zhejiangensis, which is an endemic, rare, and endangered medicinal plants.