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<title cf:type="text"><![CDATA[ -->Special Subject： Metabonomics]]></title>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Analysis of metabolites change from flowering to withering of <i>Rhododendron delavayi</i> based on LC-MS/MS]]></title>
<link><![CDATA[http://gxzw.ijournals.cn/gxzwen/ch/reader/view_abstract.aspx?file_no=220712&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In order to analyze the differences of metabolites and their pathways from flowering to withering of <i>Rhododendron delavayi</i>, we used LC-MS/MS material separation and identification technique to non-targeted the chemical components of bud stage, dehiscence stage, pollination stage, blooming stage, senescence stage and withering stage. The results were as follows:(1)A total of 973 kinds of metabolites were detected, mainly including flavonoids, organic acids, phenolic acids, amino acids and their derivatives, lipids, alkaloids and so on.(2)Principal component analysis(PCA)showed that there were differences in metabolites among samples. Combined with orthogonal partial least squares discriminant analysis(OPLS-DA), <i>P </i>value of <i>t</i>-test and fold change of univariate analysis, differential metabolites(<i>VIP</i> &gt; 1, <i>P </i>&lt; 0.05, <i>Fc</i> &gt; 2 or <i>Fc</i> &lt; 0.5)were screened out, involving 591 species, the quantity and expression of differential metabolites increased significantly after the <i>R. delavayi</i> flower stage entered the senescence stage and the withering stage, in which the expression of differential metabolites from bud stage to dehiscence stage was mainly down-regulated, while those after entering senescence stage and withering stage were mainly up-regulated.(3)A total of 68 differential metabolic pathways were annotated by KEGG, of which three pathways were significantly enriched with differential metabolites(<i>P</i> &lt; 0.01), including phenylpropanoids biosynthesis, plant hormone biosynthesis and flavonoid biosynthesis.(4)Based on the analysis of biosynthetic pathways of phenylpropanoids, flavonoids and other effective components, ten kinds of differential metabolites were screened from flowering to withering of <i>R. delavayi</i>, including L-phenylalanine, trans-cinnamic acid, chalcone, naringenin, p-coumaroyl shikimic acid, ferulic acid, coniferyl alcohol, sinapic acid, syringin and quercetin. In addition, the differential metabolites of effective components showed that phenylpropanoids biosynthesis and metabolism activities gradually increased with the development of <i>R. delavayi</i>, while flavonoid biosynthesis gradually decreased. These key differential metabolites may play an important role in regulating the development of <i>R. delavayi</i>. This study provides a metabonomic basis for the study of effective components in the metabolic pathway during the process from flowering to withering of <i>R. delavayi</i>, and provides a reference for the further study of the molecular mechanism of flowering period regulation of <i>R. delavayi</i>.]]></description>
<pubDate>2022/8/7 0:00:00</pubDate>
<category><![CDATA[Special Subject： Metabonomics]]></category>
<author><![CDATA[WU Shaolong<sup>1,2,3</sup>, TANG Ming<sup>1,2,3</sup>, ZHANG Ximin<sup>1,2,3</sup>, TANG Jing<sup>1,2,3*</sup>]]></author>
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<atom:name>WU Shaolong<sup>1,2,3</sup>, TANG Ming<sup>1,2,3</sup>, ZHANG Ximin<sup>1,2,3</sup>, TANG Jing<sup>1,2,3*</sup></atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Untargeted metabonomics study of <i>Semiliquidambar cathayesis</i> in treatment of rheumatoid arthritis]]></title>
<link><![CDATA[http://gxzw.ijournals.cn/gxzwen/ch/reader/view_abstract.aspx?file_no=220711&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In order to explore the changes and characteristics of plasma content metabolic profile in rheumatoid arthritis(RA)model rats after the intervention of effective parts of <i>Semiliquidambar cathayesis. </i>Based on the Ultra-performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UPLC-QTOF/MS)technique, the differences of plasma metabolite profiles in rat arthritis models before and after the administration from the perspective of nontargeted metabolomics were analysed. Chromatographic experiments were performed on a HILIC column(100 mm&#215;2.1 mm, 1.7 μm)using a mobile phase that consisted of 25 mmol·L<sup>-1</sup> ammonium acetate and 25 mmol·L<sup>-1</sup> ammonia in water and acetonitrile. Mass spectrometry was conducted in the positive and negative modes by electrospray ionization(ESI). Metabolic information about the plasma was acquired using a multivariate statistical analysis model. Principal component analysis(PCA)and partial least square discriminant analysis(PLS-DA)were conducted for pattern recognition and difference analysis. PCA was performed for data variables in the positive and negative ion modes, respectively. The metabolic compounds were divided into different groups on the basis of their chemical taxonomy. A permutation test(<i>n</i>=200)was conducted to verify the fit of the model. The differential metabolites were screened on the basis of variable importance in project(VIP&gt;1), analysis of variance(ANOVA, <i>P</i>&lt;0.05)and maximum fold change(&gt;1.5)by using the PLS-DA model. The compounds were identified based on the data retrieved from the METLIN and HMDB databases according to the quality information of percursor ions and fragment ions. Plasma metabolic profile before and after administration showed significant differences. Metabolite determination results were screened by SIMCA-P software, followed by <i>t</i>-test and fold change analysis, screening differential metabolites and pathway enrichment analysis. The results were as follows:(1)Compared with the model group, after the combination of positive and negative ion mode, 321 different metabolites were selected, 174 metabolites were identified in the negative ion pattern, 192 metabolites were identified in positive ion pattern.(2)All metabolites identified were classified into 12 types according to their chemical classification attribution information, organic acids and derivatives, lipids and lipid-like molecules accounted for a high number of metabolites.(3)A total of 37 metabolic pathways were obtained by pathway enrichment and showed significant difference(<i>P</i>&lt;0.05), digestion and absorption of proteins, tumor choline metabolism pathways and ABC transporters enriched the largest number of differential metabolites, all pathways were significantly upregulated(<i>P</i>&lt;0.05). Accordingly, a theoretical reference has been presented for the transformation mechanism of <i>S. cathayesis</i> regulating RA.]]></description>
<pubDate>2022/8/7 0:00:00</pubDate>
<category><![CDATA[Special Subject： Metabonomics]]></category>
<author><![CDATA[WANG Huakun<sup>1</sup>, XIAO Fangjing<sup>1</sup>, BIN Wanjuan<sup>1</sup>, FU Chunqing<sup>1</sup>, YIN Li<sup>1,2*</sup>]]></author>
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<atom:name>WANG Huakun<sup>1</sup>, XIAO Fangjing<sup>1</sup>, BIN Wanjuan<sup>1</sup>, FU Chunqing<sup>1</sup>, YIN Li<sup>1,2*</sup></atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Analysis of flavonoids in different tissues of <i>Kadsura coccinea </i>plant by widely-targeted metabolomics]]></title>
<link><![CDATA[http://gxzw.ijournals.cn/gxzwen/ch/reader/view_abstract.aspx?file_no=220710&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[The root of <i>Kadsura coccinea</i> is a commonly used herb in traditional Chinese medicine, and flavonoids are one of the main active constituents of medicinal plants. This study intended to investigate whether the leaves and stems of <i>K. coccinea</i> plants may contain similar or highly enriched flavonoids in roots and to explore its application value. Widely-targeted metabolomics was used to identify the compounds in different organs of <i>K. coccinea</i>. According to their structural distribution and categories, the diversity and abundance of flavonoids were analyzed. The results were as follows:(1)The number of flavonoids metabolites in <i>K. coccinea</i> was sorted in descending order as leaf(80)&gt; stem(73)&gt; root(67), and a total of 61 flavonoids were the same in three parts. Leaves and stems contained more flavonols, contributing to a diversity of flavonoids greater than that in the roots.(2)Flavonols, flavonoids, flavanols, and chalcones were highly accumulated in the three parts. Among them, the accumulation of flavonols and flavonoids was lower in the stems and roots, resulting in a continuously, substantially decreasing abundance of flavonoids from leaf(24.00 &#215; 10<sup>7</sup>)to stem(13.45 &#215; 10<sup>7</sup>)to root(9.05 &#215; 10<sup>7</sup>).(3)Leaves and stems of <i>K. coccinea</i> contained a large amount of flavonoids that were also found in the roots and a variety of those not found in the roots, which could be considered for alternative or complementary use. Catechins highly expressed in all three parts, and the leaves were also rich in quercetin and its derivatives, which were highly valuable in application.]]></description>
<pubDate>2022/8/7 0:00:00</pubDate>
<category><![CDATA[Special Subject： Metabonomics]]></category>
<author><![CDATA[GAO Jianfei<sup>1</sup>, ZHOU Wei<sup>2</sup>, LIU Ni<sup>1</sup>, YANG Yan<sup>3</sup>]]></author>
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<atom:name>GAO Jianfei<sup>1</sup>, ZHOU Wei<sup>2</sup>, LIU Ni<sup>1</sup>, YANG Yan<sup>3</sup></atom:name>
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