Joint MS-based platforms for comprehensive comparison of rat plasma and serum metabolic profiling

Biomedical Chromatography

Volumn 28, Issue 9, 2014, Pages 1235-1245

  Lin, Zhang ^a   Zhang, Zhimin ^a   Lu, Hongmei ^a   Jin, Yisu ^a   Yi, Lunzhao ^a   Liang, Yizeng ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Gas chromatography mass spectrometry; Liquid chromatography quadruple time of flight mass spectrometry; Metabolic profiling; Rat plasma; Rat serum

Indexed keywords

BIOMOLECULES; BLOOD; GAS CHROMATOGRAPHY; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; METABOLISM; NEGATIVE IONS; POSITIVE IONS; QUALITY CONTROL; RATS;

COMPREHENSIVE COMPARISONS; GASCHROMATOGRAPHY-MASS SPECTROMETRY; LIQUID CHROMATOGRAPHY-QUADRUPLE TIME-OF-FLIGHT-MASS SPECTROMETRY; MASS SPECTROMETRY ANALYSIS; METABOLIC PROFILING; METABOLOMICS; RAT PLASMA; RAT SERUM; REPRODUCIBILITIES; TIME OF FLIGHT MASS SPECTROMETRY;

METABOLITES;

ALANINE; ARACHIDONIC ACID; BUTYRIC ACID; CHOLESTEROL; CREATININE; GALACTOSE; GLUCOSE; GLUTAMINE; GLYCINE; INOSITOL; ISOCITRIC ACID; ISOLEUCINE; LINOLEIC ACID; MANNITOL; OLEIC ACID; OXALIC ACID; PALMITIC ACID; PHENYLALANINE; PHOSPHORIC ACID; PROLINE; PROPIONIC ACID; SERINE; STEARIC ACID; SUCCINIC ACID; THREONINE; TRYPTOPHAN; TYROSINE; UREA; VALINE; BIOLOGICAL MARKER;

ANALYTIC METHOD; ANIMAL EXPERIMENT; ARTICLE; COMPARATIVE STUDY; DERIVATIZATION; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; MALE; MASS FRAGMENTOGRAPHY; METABOLIC PARAMETERS; METABOLOMICS; NONHUMAN; PLASMA; QUALITY CONTROL; RAT; REPRODUCIBILITY; SERUM; TANDEM MASS SPECTROMETRY; TIME OF FLIGHT MASS SPECTROMETRY; ANIMAL; BLOOD; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; METABOLOME; PHYSIOLOGY; PROCEDURES; SENSITIVITY AND SPECIFICITY; SPRAGUE DAWLEY RAT;

RATTUS;

ANIMALS; BIOLOGICAL MARKERS; CHROMATOGRAPHY, LIQUID; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; MALE; MASS SPECTROMETRY; METABOLOME; METABOLOMICS; RATS; RATS, SPRAGUE-DAWLEY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84905583721     PISSN: 02693879     EISSN: 10990801     Source Type: Journal    
DOI: 10.1002/bmc.3152     Document Type: Article

References (30)

1. Allegrone G, Tamaro I, Spinardi S and Grosa G. Development and validation of a solid-phase extraction and gas chromatography-tandem mass spectrometry method for the determination of isopropyl-9H-thioxanthen-9-one in carton packaged milk. Journal of Chromatography A 2008; 1214: 128-133.
2. Aoki M, Konya Y, Takagaki T, Umemura K, Sogame Y, Katsumata T and Komuro S. Metabolomic investigation of cholestasis in a rat model using ultra-performance liquid chromatography/tandem mass spectrometry. Rapid Communications in Mass Spectrometry 2011; 25: 1847-1852.
3. Barelli S, Crettaz D, Thadikkaran L, Rubin O and Tissot J-D. Plasma/serum proteomics: pre-analytical issues. Expert Review of Proteomics 2007; 4: 363-370.
4. Brauer R, Leichtle A, Fiedler G, Thiery J and Ceglarek U. Preanalytical standardization of amino acid and acylcarnitine metabolite profiling in human blood using tandem mass spectrometry. Metabolomics 2011; 7: 344-352.
5. Chen S, Chu Y, Zhao X, Gao P, Zhang L, Zhan L and Xu G. HPLC-Ms-based metabonomics reveals disordered lipid metabolism in patients with metabolic syndrome. Journal of Analytical Science and Technology 2011; 2: 173-178.
6. Chen Y, Xu J, Zhang R, Shen G, Song Y, Sun J, He J, Zhan Q and Abliz Z. Assessment of data pre-processing methods for LC-MS/MS-based metabolomics of uterine cervix cancer. Analyst 2013; 138: 2669-2677.
7. Donoho DL. De-noising by soft-thresholding. IEEE Transactions on Information Theory 1995; 41: 613-627.
8. Dunn WB, Broadhurst D, Ellis DI, Brown M, Halsall A, O'Hagan S, Spasic I, Tseng A and Kell DB. A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols. International Journal of Epidemiology 2008; 37: i23-i30.
9. Dunn WB, Broadhurst D, Begley P, Zelena E, Francis-McIntyre S, Anderson N, Brown M, Knowles JD, Halsall A, Haselden JN, Nicholls AW, Wilson ID, Kell DB and Goodacre R. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nature Protocols 2011; 6: 1060-1083.
10. Gika HG, Macpherson E, Theodoridis GA and Wilson ID. Evaluation of the repeatability of ultra-performance liquid chromatography-TOF-MS for global metabolic profiling of human urine samples. Journal of Chromatography B 2008a; 871: 299-305.
11. Gika HG, Theodoridis GA and Wilson ID. Liquid chromatography and ultra-performance liquid chromatography-mass spectrometry fingerprinting of human urine: sample stability under different handling and storage conditions for metabonomics studies. Journal of Chromatography A 2008b; 1189: 314-322.
12. Halket JM, Waterman D, Przyborowska AM, Patel RKP, Fraser PD and Bramley PM. Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS. Journal of Experimental Botany 2005; 56: 219-243.
13. Kell DB. Metabolomics, modelling and machine learning in systems biology - towards an understanding of the languages of cells. FEBS Journal 2006; 273: 873-894.
14. Kumar BS, Lee Y-J, Yi HJ, Chung BC and Jung BH. Discovery of safety biomarkers for atorvastatin in rat urine using mass spectrometry based metabolomics combined with global and targeted approach. Analytica Chimica Acta 2010; 661: 47-59.
15. Li Z, Wang J-J, Huang J, Zhang Z-M, Lu H-M, Zheng Y-B, Zhan D-J and Liang Y-Z. Nonlinear alignment of chromatograms by means of moving window fast Fourier transfrom cross-correlation. Journal of Separation Science 2013; 36: 1677-1684.
16. Liang Y-Z, Xie P and Chan K. Quality control of herbal medicines. Journal of Chromatography B 2004; 812: 53-70.
17. Liu L, Aa J, Wang G, Yan B, Zhang Y, Wang X, Zhao C, Cao B, Shi J, Li M, Zheng T, Zheng Y, Hao G, Zhou F, Sun J and Wu Z. Differences in metabolite profile between blood plasma and serum. Analytical Biochemistry 2010; 406: 105-112.
18. Luque-Garcia JL and Neubert TA. Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry. Journal of Chromatography A 2007; 1153: 259-276.
19. Sangster T, Major H, Plumb R, Wilson AJ and Wilson ID. A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis. Analyst 2006; 131: 1075-1078.
20. Teahan O, Gamble S, Holmes E, Waxman J, Nicholson JK, Bevan C and Keun HC. Impact of analytical bias in metabonomic studies of human blood serum and plasma. Analytical Chemistry 2006; 78: 4307-4318.
21. Thomas GH. Metabolomics breaks the silence. Trends in Microbiology 2001; 9: 158.
22. Vinayavekhin N, Homan EA and Saghatelian A. Exploring disease through metabolomics. ACS Chemical Biology 2009; 5: 91-103.
23. Wang X, Zhao T, Qiu Y, Su M, Jiang T, Zhou M, Zhao A and Jia W. Metabonomics approach to understanding acute and chronic stress in rat models. Journal of Proteome Research 2009; 8: 2511-2518.
24. Wedge DC, Allwood JW, Dunn W, Vaughan AA, Simpson K, Brown M, Priest L, Blackhall FH, Whetton AD, Dive C and Goodacre R. Is serum or plasma more appropriate for intersubject comparisons in metabolomic studies? An assessment in patients with small-cell lung cancer. Analytical Chemistry 2011; 83: 6689-6697.
25. Wong JWH, Durante C and Cartwright HM. Application of fast Fourier transform cross-correlation for the alignment of large chromatographic and spectral datasets. Analytical Chemistry 2005; 77: 5655-5661.
26. Yu Z, Kastenmüller G, He Y, Belcredi P, Möller G, Prehn C, Mendes J, Wahl S, Roemisch-Margl W, Ceglarek U, Polonikov A, Dahmen N, Prokisch H, Xie L, Li Y, Wichmann HE, Peters A, Kronenberg F, Suhre K, Adamski J, Illig T and Wang-Sattler R. Differences between human plasma and serum metabolite profiles. PLoS ONE 2011; 6: e21230.
27. Zelena E, Dunn WB, Broadhurst D, Francis-McIntyre S, Carroll KM, Begley P, O'Hagan S, Knowles JD, Halsall A, Wilson ID and Kell DB. Development of a robust and repeatable UPLC-MS method for the long-term metabolomic study of human serum. Analytical Chemistry 2009; 81: 1357-1364.
28. Zhang H-y, Chen X, Hu P, Liang Q-l, Liang X-p, Wang Y-m and Luo G-a. Metabolomic profiling of rat serum associated with isoproterenol-induced myocardial infarction using ultra-performance liquid chromatography/time-of-flight mass spectrometry and multivariate analysis. Talanta 2009; 79: 254-259.
29. Zhang Z-M, Chen S and Liang Y-Z. Baseline correction using adaptive iteratively reweighted penalized least squares. Analyst 2010; 135: 1138-1146.
30. Zhang Z-M, Liang Y-Z, Lu H-M, Tan B-B, Xu X-N and Ferro M. Multiscale peak alignment for chromatographic datasets. Journal of Chromatography A 2012; 1223: 93-106.