Investigation of the effects of storage and freezing on mixes of heavy-labeled metabolite and amino acid standards.

作者: Rachel Culp-Hill , Julie A. Reisz , Kirk C. Hansen , Angelo D'Alessandro

DOI: 10.1002/RCM.7989

关键词: MetabolomicsRedox homeostasisChemistryChromatographyMetaboliteMass spectrometryTissue extractsExtraction (chemistry)Frozen storageAmino acid

摘要: Rationale High-throughput metabolomics has now made it possible for small/medium-sized laboratories to analyze thousands of samples/year from the most diverse biological matrices including biofluids, cell and tissue extracts. In large-scale studies, stable-isotope-labeled standards are increasingly used normalize matrix effects control technical reproducibility (e.g. extraction efficiency, chromatographic retention times mass spectrometry signal stability). However, is currently unknown how stable mixes commercially available following repeated freeze/thaw cycles or prolonged storage aliquots. Methods Standard 13 C, 15 N deuterated isotopologues amino acids key metabolites central carbon nitrogen pathways glycolysis, Krebs cycle, redox homeostasis, purines) were either repeatedly frozen/thawed up 10 diluted into aliquots prior frozen 42 days. Samples characterized by ultra-high-pressure liquid chromatography/mass determine stability aliquoted upon freezing/thawing storage. Results Metabolite over cycles, with exception adenosine glutathione, showing variability across in a freeze/thaw-cycle-independent fashion. Storage days did not significantly affect acid metabolite first 2 weeks, while progressive degradation (statistically significant fumarate) was observed after 3 weeks. Conclusions Refrigerated preservation at least weeks heavy-labeled standard analysis feasible time-/resource-saving strategy laboratories.

参考文章(28)
Travis Nemkov, Angelo D’Alessandro, Kirk C. Hansen, Three-minute method for amino acid analysis by UHPLC and high-resolution quadrupole orbitrap mass spectrometry Amino Acids. ,vol. 47, pp. 2345- 2357 ,(2015) , 10.1007/S00726-015-2019-9
Jianguo Xia, Igor V. Sinelnikov, Beomsoo Han, David S. Wishart, MetaboAnalyst 3.0—making metabolomics more meaningful Nucleic Acids Research. ,vol. 43, ,(2015) , 10.1093/NAR/GKV380
Angelo D'Alessandro, Federica Gevi, Lello Zolla, A robust high resolution reversed-phase HPLC strategy to investigate various metabolic species in different biological models Molecular BioSystems. ,vol. 7, pp. 1024- 1032 ,(2011) , 10.1039/C0MB00274G
Stephen R. Odom, Michael D. Howell, George S. Silva, Victoria M. Nielsen, Alok Gupta, Nathan I. Shapiro, Daniel Talmor, Lactate clearance as a predictor of mortality in trauma patients. Journal of Trauma-injury Infection and Critical Care. ,vol. 74, pp. 999- 1004 ,(2013) , 10.1097/TA.0B013E3182858A3E
Julie M Pratt, Deborah M Simpson, Mary K Doherty, Jenny Rivers, Simon J Gaskell, Robert J Beynon, Multiplexed absolute quantification for proteomics using concatenated signature peptides encoded by QconCAT genes Nature Protocols. ,vol. 1, pp. 1029- 1043 ,(2006) , 10.1038/NPROT.2006.129
Sastia P. Putri, Shinya Yamamoto, Hiroshi Tsugawa, Eiichiro Fukusaki, Current metabolomics: Technological advances Journal of Bioscience and Bioengineering. ,vol. 116, pp. 9- 16 ,(2013) , 10.1016/J.JBIOSC.2013.01.004
Eugene Melamud, Livia Vastag, Joshua D. Rabinowitz, Metabolomic analysis and visualization engine for LC-MS data. Analytical Chemistry. ,vol. 82, pp. 9818- 9826 ,(2010) , 10.1021/AC1021166
Emanuela Scolamiero, Carla Cozzolino, Lucia Albano, Antonella Ansalone, Marianna Caterino, Graziella Corbo, Maria Grazia di Girolamo, Cristina Di Stefano, Adriano Durante, Giovanni Franzese, Ignazio Franzese, Giovanna Gallo, Paolo Giliberti, Laura Ingenito, Giovanni Ippolito, Basilio Malamisura, Pietro Mazzeo, Antonella Norma, Daniela Ombrone, Giancarlo Parenti, Silvana Pellecchia, Rita Pecce, Ippolito Pierucci, Roberta Romanelli, Anna Rossi, Massimo Siano, Teodoro Stoduto, Guglielmo R. D. Villani, Generoso Andria, Francesco Salvatore, Giulia Frisso, Margherita Ruoppolo, Targeted metabolomics in the expanded newborn screening for inborn errors of metabolism Molecular BioSystems. ,vol. 11, pp. 1525- 1535 ,(2015) , 10.1039/C4MB00729H
Goodarz Danaei, Mariel M Finucane, Yuan Lu, Gitanjali M Singh, Melanie J Cowan, Christopher J Paciorek, John K Lin, Farshad Farzadfar, Young-Ho Khang, Gretchen A Stevens, Mayuree Rao, Mohammed K Ali, Leanne M Riley, Carolyn A Robinson, Majid Ezzati, Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Blood Glucose, None, National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants The Lancet. ,vol. 378, pp. 31- 40 ,(2011) , 10.1016/S0140-6736(11)60679-X