Enhanced pseudotargeted analysis using a segment data dependent acquisition strategy by liquid chromatography–tandem mass spectrometry for a metabolomics study of liquiritin in the treatment of depression

Yang, Joseph; Jin, Wenbin; Liu, Danyang; Zhong, Qisheng; Zhou, Ting

doi:10.1002/jssc.202000107

Cited by 22 publications

(12 citation statements)

References 25 publications

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“…As one of eight essential amino acids, phenylalanine may have the potential to relieve pain and depression (Chen et al, 2021). Phenylalanine metabolism was also found to be associated with depression in a depressive rat model (Xu et al, 2019;Yang et al, 2020a). Imbalance of central and peripheral phenylalanine metabolism was found in rats subjected to chronic unpredictable mild stress (Han et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Peripheral tissues metabolites and biological functions in Post-stroke Depression

Liu¹,

Pu²,

Zhou³

et al. 2021

Preprint

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Post-stroke depression (PSD) is the most common and severe neuropsychiatric complication after stroke. However, the molecular mechanism of PSD is still unclear. Previous studies have identified peripheral tissues metabolites associated with PSD using metabolomics techniques. We searched and systematically summarized metabolites that may be involved in metabolic changes in peripheral tissues of patients with PSD from the Metabolite Network of Depression Database (MENDA) and other biomedical databases. MetaboAnalyst5.0 software was used for pathway analysis and enrichment analysis of differential metabolites, and subgroup analyses were performed according to tissue types and metabolomics techniques. We identified 47 metabolites that were differentially expressed between patients with and without PSD. Five differential metabolites were found in both plasma and urine, including L-glutamic acid, pyroglutamic acid, palmitic acid, L-phenylalanine, and L-tyrosine. We integrated these metabolites into metabolic pathways, and six pathways were significantly altered. These pathways could be roughly divided into three modules including amino acid metabolism, nucleotide metabolism, and glucose metabolism. Among them, the most significantly altered pathway was “phenylalanine metabolism” and the pathway containing the most associated molecules was “aminoacyl-tRNA biosynthesis”, which deserve further study to elucidate their role in the molecular mechanism of PSD. In summary, metabolic changes in peripheral tissues are associated with PSD, especially the disruption of “phenylalanine metabolism” and “aminoacyl-tRNA biosynthesis” pathways. This study provides clues to the metabolic characteristics of patients with PSD, which may help to elucidate the molecular pathogenesis of PSD.

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Section: Discussionmentioning

confidence: 99%

Peripheral tissues metabolites and biological functions in Post-stroke Depression

Liu¹,

Pu²,

Zhou³

et al. 2021

Preprint

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“…Animal experiments were carried out in the same way as our previous studies [24]. Sixteen male Sprague Dawley rats were purchased from Guangzhou University of Chinese medicine (Guangdong, China) and randomly divided into control and model groups (n = 8 for each group).…”

Section: Sample Collection and Preparationmentioning

confidence: 99%

Comprehensive pseudotargeted metabolomics analysis based on two‐phase liquid extraction‐UHPLC‐MS/MS for the investigation of depressive rats

Huang

Zhou

2022

J of Separation Science

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Pseudotargeted analysis combines the advantages of untargeted and targeted metabolomics methods. This study proposed a comprehensive pseudotargeted metabolomics method based on two‐phase liquid extraction using ultra‐high‐performance liquid chromatography‐tandem mass spectrometry. Two‐phase liquid extraction, composed of both aqueous and organic phases, extracted a wide range of metabolites from polar to nonpolar in plasma samples. Besides, the two phases were combined and detected in a single injection to save analytical time. A total of 486 potential metabolites were detected by the developed approach. Compared with the conventional methanol‐based protein precipitation method, the two‐phase liquid extraction method significantly increased the metabolite coverage by 20.29%. Besides, the proposed pseudotargeted metabolomics method exhibited higher sensitivity and better repeatability than the untargeted method. Finally, we applied the established pseudotargeted method to the metabolomics study of depressive rats and screened 53 differential variables. Sixteen determined differential metabolites were mainly in four metabolic pathways including glycerophospholipid, arachidonic acid, sphingolipid metabolisms, pentose and glucuronate interconversions. The results indicated that the pseudotargeted method based on two‐phase liquid extraction broadened the metabolite coverage with good sensitivity and repeatability, exhibiting significant potential for discovering differential metabolites in metabolomics studies.

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“…The animal experiments were the same as our previous study. 21 Twentyfour male Sprague-Dawley rats were purchased from Guangzhou University of Chinese Medicine (Guangdong, China) and randomly divided into control and model groups (n = 12). The model group was subjected to different stimuli for 4 weeks.…”

Section: ■ Experimental Sectionmentioning

confidence: 99%

Simultaneous Analysis of the Metabolome and Lipidome Using Polarity Partition Two-Dimensional Liquid Chromatography–Mass Spectrometry

et al. 2021

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Comprehensive metabolic profiling is a considerable challenge for systems biology since the metabolites in biological samples have significant polarity differences. A heartcutting two-dimensional liquid chromatography−mass spectrometry (2D-LC−MS) method-based polarity partition was established to analyze both the metabolome and lipidome in a single run. Based on the polarity partition strategy, metabolites with high polarity were retained and separated by one-dimensional hydrophilic chromatography, while low-and medium-polarity lipids were collected into a sample loop and injected into two-dimensional reversed-phase chromatography for separation. A simple online dilution strategy realized the online coupling of the 2D-LC−MS, which effectively solved band broadening and peak distortion caused by solvent incompatibility. Moreover, a dual gradient elution procedure was introduced to further broaden the coverage of low-polarity lipids. The metabolites' log P values, which this 2D-LC−MS method could analyze, ranged from −8.79 to 26.86. The feasibility of the 2D-LC−MS system was demonstrated by simultaneous analysis of the metabolome and lipidome in rat plasma related to depression. A total of 319 metabolites were determined within 40 min, including organic acids, nucleosides, carbohydrate derivatives, amino acids, lipids, and other organic compounds. Finally, 44 depression-related differential metabolites were screened. Compared with conventional LC−MS-based methods, the 2D-LC method covered over 99% of features obtained by two conventional methods. In addition, the selectivity and resolution of the hydrophilic metabolites were improved, and the matrix effects of the hydrophobic metabolites were reduced in the developed method. The results indicated that the established 2D-LC system is a powerful tool for comprehensive metabolomics studies.

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Enhanced pseudotargeted analysis using a segment data dependent acquisition strategy by liquid chromatography–tandem mass spectrometry for a metabolomics study of liquiritin in the treatment of depression

Cited by 22 publications

References 25 publications

Peripheral tissues metabolites and biological functions in Post-stroke Depression

Peripheral tissues metabolites and biological functions in Post-stroke Depression

Comprehensive pseudotargeted metabolomics analysis based on two‐phase liquid extraction‐UHPLC‐MS/MS for the investigation of depressive rats

Simultaneous Analysis of the Metabolome and Lipidome Using Polarity Partition Two-Dimensional Liquid Chromatography–Mass Spectrometry

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