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.

Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101088554 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1615-9314 (Electronic) Linking ISSN: 16159306 NLM ISO Abbreviation: J Sep Sci Subsets: MEDLINE

Original Publication: Weinheim, Germany : Wiley-VCH, c2001-

Metabolomics*; Antidepressive Agents/*metabolism ; Antidepressive Agents/*therapeutic use ; Depression/*drug therapy ; Flavanones/*metabolism ; Flavanones/*therapeutic use ; Glucosides/*metabolism ; Glucosides/*therapeutic use; Animals ; Antidepressive Agents/urine ; Chromatography, Liquid ; Depression/metabolism ; Flavanones/urine ; Glucosides/urine ; Rats ; Tandem Mass Spectrometry

An enhanced pseudotargeted method using a segment data-dependent acquisition mode based on ultra-high performance liquid chromatography-tandem mass spectrometry was developed. This segment data dependent acquisition-based pseudotargeted method could improve the detection of co-eluted ions and extend the coverage of analytes. A set of 502 multiple reaction monitoring channels were obtained by this segment strategy, which was twice the number created by the traditional data-dependent acquisition mode. Compared with the untargeted method, the pseudotargeted profiling demonstrated higher sensitivity and higher precision. More than 90% of the metabolites detected by the enhanced pseudotargeted method had relative standard deviations less than 15%. The segment data dependent acquisition-based pseudotargeted method was successfully applied to the metabolomics study of the depressed rats with the treatment of liquiritin. Forty-seven differential metabolites were screened and five metabolic pathways were found to be related to depression including retinol metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, terpenoid backbone biosynthesis, and lysine degradation. The segment data dependent acquisition-based pseudotargeted method widened the coverage of metabolites with good sensitivity and precision, which exhibited great potential in the discovery of differential metabolites in metabolomics studies.
(© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Krishnan, V., Nestler, E. J., The molecular neurobiology of depression. Nature. 2008, 455, 894-902.
Murrough, J. W., Abdallah, C. G., Mathew, S. J., Targeting glutamate signalling in depression: progress and prospects. Nat. Rev. Drug Discov. 2017, 16, 472-486.
https://www.who.int/mental_health/management/depression/prevalence_global_health_estimates/en/ (last time accessed: January 29, 2020).
Dantzer, R., O'Connor, J. C., Freund, G. G., Johnson, R. W., Kelley, K. W., From inflammation to sickness and depression: when the immune system subjugates the brain. Nat. Rev. Neurosci. 2008, 9, 46-57.
Gao, X., Zheng, X., Li, Z., Zhou, Y., Sun, H., Zhang, L., Guo, X., Du, G., Qin, X., Metabonomic study on chronic unpredictable mild stress and intervention effects of Xiaoyaosan in rats using gas chromatography coupled with mass spectrometry. J. Ethnopharmacol. 2011, 137, 690-699.
Wu, H., Wang, P., Liu, M., Tang, L., Fang, J., Zhao, Y., Zhang, Y., Li, D., Xu, H., Yang, H., A H-1-NMR-based metabonomic study on the anti-depressive effect of the total alkaloid of corydalis rhizoma. Molecules. 2015, 20, 10047-10064.
Zheng, S., Zhang, S., Yu, M., Tang, J., Lu, X., Wang, F., Yang, J., Li, F., An H-1 NMR and UPLC-MS-based plasma metabonomic study to investigate the biochemical changes in chronic unpredictable mild stress model of depression. Metabolomics. 2011, 7, 413-423.
Zhao, Z., Wang, W., Guo, H., Zhou, D., Antidepressant-like effect of liquiritin from Glycyrrhiza uralensis in chronic variable stress induced depression model rats. Behav. Brain Res. 2008, 194, 108-113.
Kohler, I., Giera, M., Recent advances in liquid-phase separations for clinical metabolomics. J. Sep. Sci. 2017, 40, 93-108.
Cajka, T., Fiehn, O., Toward merging untargeted and targeted methods in mass spectrometry-based metabolomics and lipidomics. Anal. Chem. 2016, 88, 524-545.
Gorrochategui, E., Jaumot, J., Lacorte, S., Tauler, R., Data analysis strategies for targeted and untargeted LC-MS metabolomic studies: overview and workflow. TrAC-Trend. Anal. Chem. 2016, 82, 425-442.
Cajka, T., Fiehn, O., Comprehensive analysis of lipids in biological systems by liquid chromatography-mass spectrometry. TrAC-Trend. Anal. Chem. 2014, 61, 192-206.
Li, Y., Ruan, Q., Li, Y., Ye, G., Lu, X., Lin, X., Xu, G., A novel approach to transforming a non-targeted metabolic profiling method to a pseudo-targeted method using the retention time locking gas chromatography/mass spectrometry-selected ions monitoring. J. Chromatogr. A. 2012, 1255, 228-236.
Zhang, J., Zhao, C., Zeng, Z., Luo, P., Zhao, Y., Zhao, J., Li, L., Lu, X., Xu, G., Sample-directed pseudotargeted method for the metabolic profiling analysis of rice seeds based on liquid chromatography with mass spectrometry. J. Sep. Sci. 2016, 39, 247-255.
Wang, Y., Liu, F., Li, P., He, C., Wang, R., Su, H., Wan, J., An improved pseudotargeted metabolomics approach using multiple ion monitoring with time-staggered ion lists based on ultra-high performance liquid chromatography/quadrupole time-of-flight mass spectrometry. Anal. Chim. Acta. 2016, 927, 82-88.
Xu, J., Li, J., Zhang, R., He, J., Chen, Y., Bi, N., Song, Y., Wang, L., Zhan, Q., Abliz, Z., Development of a metabolic pathway-based pseudo-targeted metabolomics method using liquid chromatography coupled with mass spectrometry. Talanta. 2019, 192, 160-168.
Wang, L., Su, B., Zeng, Z., Li, C., Zhao, X., Lv, W., Xuan, Q., Ouyang, Y., Zhou, L., Yin, P., Peng, X., Lu, X., Lin, X., Xu, G., Ion-pair selection method for pseudotargeted metabolomics based on SWATH MS acquisition and its application in differential metabolite discovery of type 2 diabetes. Anal. Chem. 2018, 90, 11401-11408.
Liu, H., Yang, L., Khainovski, N., Dong, M., Hall, S. C., Fisher, S. J., Biggin, M. D., Jin, J., Witkowska, H. E., Automated iterative MS/MS acquisition: a tool for improving efficiency of protein identification using a LC-MALDI MS workflow. Anal. Chem. 2011, 83, 6286-6293.
Calderon-Santiago, M., Priego-Capote, F., Luque De Castro, M. D., Enhanced detection and identification in metabolomics by use of LC-MS/MS untargeted analysis in combination with gas-phase fractionation. Anal. Chem. 2014, 86, 7558-7565.
Zhou, J., Li, Y., Chen, X., Zhong, L., Yin, Y., Development of data-independent acquisition workflows for metabolomic analysis on a quadrupole-orbitrap platform. Talanta. 2017, 164, 128-136.
Schwudke, D., Oegema, J., Burton, L., Entchev, E., Hannich, J. T., Ejsing, C. S., Kurzchalia, T., Shevchenko, A., Lipid profiling by multiple precursor and neutral loss scanning driven by the data-dependent acquisition. Anal. Chem. 2006, 78, 585-595.
Venable, J. D., Dong, M. Q., Wohlschlegel, J., Dillin, A., Yates, J. R., Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra. Nat. Methods. 2004, 1, 39-45.
Iwata, M., Hirakiyama, A., Eshima, Y., Kagechika, H., Kato, C., Song, S. Y., Retinoic acid imprints gut-homing specificity on T cells. Immunity. 2004, 21, 527-538.
Furukawa, Y., Rajput, A. H., Tong, J., Tomizawa, Y., Hornykiewicz, O., Kish, S. J., A marked contrast between serotonergic and dopaminergic changes in dopa-responsive dystonia. Neurology. 2016, 87, 1060-1061.
Ruhe, H. G., Mason, N. S., Schene, A. H., Mood is indirectly related to serotonin, norepinephrine and dopamine levels in humans: a meta-analysis of monoamine depletion studies. Mol. Psychiatr. 2007, 12, 331-359.
Gao, X., Liang, M., Fang, Y., Zhao, F., Tian, J., Zhang, X., Qin, X., Deciphering the differential effective and toxic responses of Bupleuri Radix following the induction of chronic unpredictable mild stress and in healthy rats based on serum metabolic profiles. Front. Pharmacol. 2018, 8, 1-22.

21775047 National Natural Science Foundation of China; 201806010055 Pearl River S and T Nova Program of Guangzhou; 2018MS55 Fundamental Research Funds for the Central Universities

Keywords: depression; liquiritin; pseudotargeted method; segment data dependent acquisition

0 (Antidepressive Agents)
0 (Flavanones)
0 (Glucosides)
T0O79T74CD (liquiritin)

Date Created: 20200308 Date Completed: 20210118 Latest Revision: 20210118

20231215

10.1002/jssc.202000107

32144949