LC-MS/MS based targeted metabolomics method for analysis of serum and cerebrospinal fluid

Authors

DOI:

https://doi.org/10.20883/jms.2019.335

Keywords:

liquid chromatography, tandem mass spectrometry, flow injection analysis

Abstract

Introduction. Recent instrumentation and software advancement enabled to develop new, high‑throughput targeted metabolomics methods for in‑depth exploration of metabolome in a quantitative manner.
Material and Methods. The presented targeted metabolomics approach allows to analyze both of serum and CSF in the same way, with identical sample preparation procedures. The analyses were carried out using high‑performance liquid chromatography system coupled to triple quadrupole tandem mass spectrometer with electrospray ion source (LC‑ESI‑QqQ‑MS/MS).
Results. The applied targeted metabolomics approach enabled to determine a wide panel of metabolites from different chemical classes of compounds including: acylcarnitines, amino acids and biogenic amines, glycerophospholipids, sphingolipids and sum of hexoses. Finally, 148 metabolites in serum and 57 in cerebrospinal fluid were determined.
Conclusions. Here we presented the results of successful implementation of the method of analysis of low‑molecular weight compounds in human serum and CSF using targeted metabolomics. The evaluation of selected groups of metabolites resulted in obtaining the mean concentrations of panel of metabolites in serum and CSF, which gives a valuable information about the metabolome of these matrices.

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References

Jacob M, Lopata AL, Dasouki M, Abdel Rahman AM. Metabolomics toward personalized medicine. Mass Spectrom Rev. 2017 Oct 26.

Miggiels P, Wouters B, van Westen GJP, Dubbelman A‑C, Hankemeier T. Novel technologies for metabolomics: More for less. TrAC Trends Anal Chem.

Xia J, Broadhurst DI, Wilson M, Wishart DS. Translational biomarker discovery in clinical metabolomics: an introductory tutorial. Metabolomics. 2013 Apr 4;9(2):280–99.

Aretz I, Meierhofer D. Advantages and Pitfalls of Mass Spectrometry Based Metabolome Profiling in Systems Biology. Int J Mol Sci. 2016 Apr 27.

Klupczynska A, Plewa S, Dyszkiewicz W, Kasprzyk M, Sytek N, Kokot ZJ. Determination of low‑molecular‑weight organic acids in non‑small cell lung cancer with a new liquid chromatography‑tandem mass spectrometry method. J Pharm Biomed Anal. 2016 Sep;129:299–309.

Klupczynska A, Plewa S, Sytek N, Sawicki W, Dereziński P, Matysiak J, et al. A study of low‑molecular‑weight organic acid urinary profiles in prostate cancer by a new liquid chromatography‑tandem mass spectrometry method. J Pharm Biomed Anal. 2018 Sep 10;159:229–36.

Klupczynska A, Dereziński P, Garrett TJ, Rubio VY, Dyszkiewicz W, Kasprzyk M, et al. Study of early stage non‑small‑cell lung cancer using Orbitrap‑based global serum metabolomics. J Cancer Res Clin Oncol. 2017 Apr 6;143(4):649–59.

Ribbenstedt A, Ziarrusta H, Benskin JP. Development, characterization and comparisons of targeted and non‑targeted metabolomics methods. PLoS One. 2018 Nov 15;13(11):e0207082.

Engelborghs S, Niemantsverdriet E, Struyfs H, Blennow K, Brouns R, Comabella M, et al. Consensus guidelines for lumbar puncture in patients with neurological diseases. Alzheimer’s Dement (Amsterdam, Netherlands). 2017;8:111–26.

Siskos AP, Jain P, Römisch‑Margl W, Bennett M, Achaintre D, Asad Y, et al. Interlaboratory Reproducibility of a Targeted Metabolomics Platform for Analysis of Human Serum and Plasma. Anal Chem. 2017 Jan 3;89(1):656–65.

St John‑Williams L, Blach C, Toledo JB, Rotroff DM, Kim S, Klavins K, et al. Targeted metabolomics and medication classification data from participants in the ADNI1 cohort. 2017;4:170140.

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Published

2019-02-07

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Section

Original Papers

How to Cite

1.
Plewa S, Dereziński P, Florczak-Wyspiańska J, Popławska-Domaszewicz K, Kozubski W, Sokół B, et al. LC-MS/MS based targeted metabolomics method for analysis of serum and cerebrospinal fluid. JMS [Internet]. 2019 Feb. 7 [cited 2024 Dec. 21];88(1):12-20. Available from: https://jmsnew.ump.edu.pl/index.php/JMS/article/view/335