2020
DOI: 10.3389/fphar.2019.01543
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Integrated Plasma and Bile Metabolomics Based on an UHPLC-Q/TOF-MS and Network Pharmacology Approach to Explore the Potential Mechanism of Schisandra chinensis-Protection From Acute Alcoholic Liver Injury

Abstract: potential biomarkers were identified in their bile samples. The biomarkers were mainly related to inflammation and dysfunctions of amino acids and energy metabolism. The recovery of these dysfunctions partly led to the curative effect of SC on ALI.

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Cited by 14 publications
(8 citation statements)
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“…During that time, we have characterized human (adult) serum [13], cerebrospinal fluid [14], urine [12], saliva [15] and stool samples [16]. Other groups have also analyzed the metabolomes for human breath [17], breast milk [18], bile fluids [19] and hair [20]. We undertook this study to fill in important gaps in our understanding of urinary metabolite concentrations in neonates.…”
Section: Discussionmentioning
confidence: 99%
“…During that time, we have characterized human (adult) serum [13], cerebrospinal fluid [14], urine [12], saliva [15] and stool samples [16]. Other groups have also analyzed the metabolomes for human breath [17], breast milk [18], bile fluids [19] and hair [20]. We undertook this study to fill in important gaps in our understanding of urinary metabolite concentrations in neonates.…”
Section: Discussionmentioning
confidence: 99%
“…According to the variable importance for the project (VIP) of the OPLS-DA model in each group, the differential ions were selected. Referring to the literature on metabolomics, this study set VIP > 1 as the differential ions between the two groups with independent sample t -test, excluding data with p > 0.05 ( Xing et al, 2017 ; Su et al, 2019 ). Finally, the p < 0.05 differential ions were input into the HMDB database, the structure of the compounds according to the first-order mass spectrometry information was predicted, the predicted exogenous compounds were eliminated, and the final selected differential compounds for structure identification were obtained, which are compared with the HMDB database ( http://www.hmdb.ca/ ), METLIN database ( https://www.sisweb.com/software/ms/wiley-metlin.htm ), and KEGG database ( http://www.genome.jp/kegg/ ).…”
Section: Methodsmentioning
confidence: 99%
“…According to the variable importance for the project (VIP) of the OPLS-DA model in each group, the differential ions were selected. Referring to the literature on metabolomics, this study set VIP > 1 as the differential ions between the two groups with independent sample t-test, excluding data with p > 0.05 (Xing et al, 2017;Su et al, 2019). Finally, the p < 0.…”
Section: Biomarker Identification and Metabolic Pathway Analysismentioning
confidence: 99%
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“…In this review, we discuss the influence of sample collection pre-analytical handling procedures and storage conditions on the metabolomic profiles of the biological matrices that are most commonly used to investigate liver functions, namely urine, blood, feces, tissues and cells. Of note, metabolic profiling of several other matrices such as bile and ascitic fluids can provide interesting information about liver functions [10,20,21] but will not be further discussed in this review given the paucity of data regarding sample collection and stability.…”
Section: Introductionmentioning
confidence: 99%