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

Huang, Minhan; Zhou, Ting

doi:10.1002/jssc.202200255

Cited by 5 publications

(4 citation statements)

References 31 publications

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“…This same research group subsequently developed comprehensive pseudotargeted lipidomics methods based on SDDA and twoor three-phase liquid extraction to elucidate the differential lipids related to depression. Broadening the lipid coverage and addressing analyte co-elution enabled 53 and 61 differential variables to be identified in the plasma of depressed rats in these studies [37,38]. Yang et al also described a green and efficient ultra-high performance supercritical fluid chromatography-MS (UHPSFC-MS/MS)-based pseudotargeted lipidomics method that detected 758 lipids within 8 min [39].…”

Section: Pseudotargeted Metabolomicsmentioning

confidence: 99%

Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research

Liu,

Ma,

et al. 2023

Molecules

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Major depressive disorder (MDD) is a serious mental illness with a heavy social burden, but its underlying molecular mechanisms remain unclear. Mass spectrometry (MS)-based metabolomics is providing new insights into the heterogeneous pathophysiology, diagnosis, treatment, and prognosis of MDD by revealing multi-parametric biomarker signatures at the metabolite level. In this comprehensive review, recent developments of MS-based metabolomics in MDD research are summarized from the perspective of analytical platforms (liquid chromatography-MS, gas chromatography-MS, supercritical fluid chromatography-MS, etc.), strategies (untargeted, targeted, and pseudotargeted metabolomics), key metabolite changes (monoamine neurotransmitters, amino acids, lipids, etc.), and antidepressant treatments (both western and traditional Chinese medicines). Depression sub-phenotypes, comorbid depression, and multi-omics approaches are also highlighted to stimulate further advances in MS-based metabolomics in the field of MDD research.

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Section: Pseudotargeted Metabolomicsmentioning

confidence: 99%

Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research

Liu,

Ma,

et al. 2023

Molecules

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“…For example, untargeted metabolomics analysis was used to predict the grade of AR [11], and the color, chemical compounds, as well as antioxidant capacity of various AR, were compared based on untargeted metabolomics and targeted quantification [12]. Compared with the untargeted metabolomics analysis, the pseudo-targeted metabolomics approach combines the advantages of HRMS and triple quadrupole MS (QQQ-MS) system [13][14][15], which shows the advantages of good linearity, higher accuracy, and no standard compounds are required [16,17]. In the method establishment process, the ion-pair information of metabolites was obtained by HRMS, then the best declustering potential (DP) and collision energy (CE) were screened based on the ionpair response, and the abundance of metabolites was measured by multiple reaction monitoring (MRM) [18].…”

Section: Introductionmentioning

confidence: 99%

Quality assessment of Astragali Radix based on pseudo‐targeted metabolomics and chemometric approach

Guo

Qin

2023

J of Separation Science

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its quality evaluation is of great importance. In this study, a pseudo-targeted metabolomics approach based on scheduled multiple reaction monitoring was developed, and a total of 114 compounds with good linearity, sensitivity, and reproducibility were selected for relative quantification, and the chemical differences between Astragali Radix of different growth patterns were further compared by chemometric analysis. With the help of multivariate and univariate analysis, 26 differential compounds between wild/semi-wild Astragali Radix and cultivated Astragali Radix were determined. Then five marker compounds were screened out by lasso regression, and further verified by systematic clustering, random forest, support vector machine, and logistic regression. In addition, malonyl-substituted flavonoids showed relatively higher content in wild/semiwild Astragali Radix. Thus, the malonyl substitution was characteristic for flavonoids in wild/semi-wild Astragali Radix. In conclusion, the application of pseudo-targeted metabolomics and various statistical methods could offer multi-dimensional information for the holistic quality evaluation of Astragali Radix.

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“…LCFAs are an important part of cell membranes and signaling molecules [11]. They also have anti‐inflammatory effects [12], and are related to obesity [13], stroke [14], cardiovascular [15], and cerebrovascular diseases [16]. Unsaturated LCFAs can be used as potential drugs for the treatment of obesity and cancer [17].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous quantification of fatty acids in serum with dual derivatization by liquid chromatography‐tandem mass spectrometry

Lin

et al. 2023

J of Separation Science

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Fatty acids have multitudinous biological functions and play a crucial role in many biological processes, but due to poor ionization efficiency and lack of appropriate internal standards, the comprehensive quantification of fatty acids by liquid chromatography‐tandem mass spectrometry is still challenging. In this study, a new, accurate, and reliable method for quantifying 30 fatty acids in serum using dual derivatization was proposed. Indole‐3‐acetic acid hydrazide derivants of fatty acids were used as the internal standard and indole‐3‐carboxylic acid hydrazide derivants of them were used to quantify. The derivatization conditions were systematically optimized and the method validation results showed good linearity with R2 > 0.9942, low detection limit (0.03–0.6 nM), precision (1.6%–9.8% for intra‐day and 4.6%–14.1% for inter‐day), recovery (88.2%–107.2% with relative standard deviation < 10.5%), matrix effect (88.3%–105.2% with the relative standard deviation < 9.9%) and stability (3.4%–13.8% for fatty acids derivants in 24 h at 4°C and 4.2%–13.8% for three freeze‐thaw cycles). Finally, this method was successfully applied to quantify fatty acids in serum samples of Alzheimer's patients. In contrast to the healthy control group, nine fatty acids showed a significant increase in the Alzheimer's disease group.

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

Cited by 5 publications

References 31 publications

Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research

Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research

Quality assessment of Astragali Radix based on pseudo‐targeted metabolomics and chemometric approach

Simultaneous quantification of fatty acids in serum with dual derivatization by liquid chromatography‐tandem mass spectrometry

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