Citrate metabolism in red blood cells stored in additive solution-3

Transfusion

Volumn 57, Issue 2, 2017, Pages 325-336

  D'Alessandro, Angelo ^a   Nemkov, Travis ^a   Yoshida, Tatsuro ^b   Bordbar, Aarash ^c   Palsson, Bernhard O ^d   Hansen, Kirk C ^a  

^a UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

^b New Health Sciences Inc   (United States)

^c Sinopia Biosciences   (United States)

^d UNIVERSITY OF ICELAND   (Iceland)

Author keywords

[No Author keywords available]

Indexed keywords

CITRIC ACID; GLUCOSE; GLUTAMINE; LACTIC ACID; PENTOSE PHOSPHATE; PYROGLUTAMIC ACID;

ARTICLE; BLOOD BANK; CONTROLLED STUDY; DIGESTION; ERYTHROCYTE PRESERVATION; GLUCOSE OXIDATION; GLUTATHIONE METABOLISM; GLYCOLYSIS; HUMAN; HUMAN CELL; MASS SPECTROMETRY; METABOLISM; PROTEOMICS; SUPERNATANT; TRANSAMINATION; BLOOD STORAGE; CYTOLOGY; ERYTHROCYTE; FEMALE; MALE; PENTOSE PHOSPHATE CYCLE;

BLOOD PRESERVATION; CITRIC ACID; ERYTHROCYTES; FEMALE; GLYCOLYSIS; HUMANS; MALE; MASS SPECTROMETRY; PENTOSE PHOSPHATE PATHWAY; PROTEOMICS;

EID: 84996478408     PISSN: 00411132     EISSN: 15372995     Source Type: Journal    
DOI: 10.1111/trf.13892     Document Type: Article

References (49)

1. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011;144:646–74.
2. Kresge N, Simoni RD, Hill RL. Otto Fritz Meyerhof and the elucidation of the glycolytic pathway. J Biol Chem 2005;280:e3.
3. Lee ID, Palsson BO. A comprehensive model of human erythrocyte metabolism: extensions to include pH effects. Biomed Biochim Acta 1990;49:771–89.
4. Rapoport TA, Heinrich R, Jacobasch G, et al. A linear steady-state treatment of enzymatic chains. A mathematical model of glycolysis of human erythrocytes. Eur J Biochem 1974;42:107–20.
5. Schauer M, Heinrich R, Rapoport SM. Mathematical modelling of glycolysis and adenine nucleotide metabolism of human erythrocytes. I. Reaction-kinetic statements, analysis of in vivo state and determination of starting conditions for in vitro experiments. Acta Biol Med Ger 1981;40:1659–82.
6. D'Alessandro A, Righetti PG, Zolla L. The red blood cell proteome and interactome: an update. J Proteome Res 2010;9:144–63.
7. Bianconi E, Piovesan A, Facchin F, et al. An estimation of the number of cells in the human body. Ann Hum Biol 2013;40:463–71.
8. Sender R, Fuchs S, Milo R. Revised estimates for the number of human and bacteria cells in the body. PLoS Biol 2016;14:e1002533.
9. Wilson MC, Trakarnsanga K, Heesom KJ, et al. Comparison of the proteome of adult and cord erythroid cells, and changes in the proteome following reticulocyte maturation. Mol Cell Proteomics 2016;15:1938–46.
10. Bordbar A, Jamshidi N, Palsson BO. iAB-RBC-283: a proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states. BMC Syst Biol 2011;5:110.
11. Goodman SR, Pace BS, Hansen KC, et al. Minireview: Multiomic candidate biomarkers for clinical manifestations of sickle cell severity: early steps to precision medicine. Exp Biol Med 2016;241:772–81.
12. Low PS, Rathinavelu P, Harrison ML. Regulation of glycolysis via reversible enzyme binding to the membrane protein, band 3. J Biol Chem 1993;268:14627–31.
13. Messana I, Ferroni L, Misiti F, et al. Blood bank conditions and RBCs: the progressive loss of metabolic modulation. Transfusion 2000;40:353–60.
14. Benesch R, Benesch RE. The effect of organic phosphates from the human erythrocyte on the allosteric properties of hemoglobin. Biochem Biophys Res Commun 1967;26:162–7.
15. Crawford JH, Isbell TS, Huang Z, et al. Hypoxia, red blood cells, and nitrite regulate NO-dependent hypoxic vasodilation. Blood 2006;107:566–74.
16. Nemkov T, Hansen KC, Dumont LJ, et al. Metabolomics in transfusion medicine. Transfusion 2016;56:980–93.
17. Hess JR. An update on solutions for red cell storage. Vox Sang 2006;91:13–9.
18. Sparrow RL. Time to revisit red blood cell additive solutions and storage conditions: a role for “omics” analyses. Blood Transfus 2012;10:s7–11.
19. de Korte D. New additive solutions for red cells. ISBT Sci Ser 2016;11:165–70.
20. Spitalnik SL, Triulzi D, Devine DV, et al. 2015 proceedings of the National Heart, Lung, and Blood Institute's State of the Science in Transfusion Medicine symposium. Transfusion 2015;55:2282–90.
21. D'Alessandro A, Kriebardis AG, Rinalducci S, et al. An update on red blood cell storage lesions, as gleaned through biochemistry and omics technologies. Transfusion 2015;55:205–19.
22. Buescher JM, Antoniewicz MR, Boros LG, et al. A roadmap for interpreting (13)C metabolite labeling patterns from cells. Curr Opin Biotechnol 2015;34:189–201.
23. Kominsky DJ, Campbell EL, Colgan SP. Metabolic shifts in immunity and inflammation. J Immunol 2010;184:4062–8.
24. Houtkooper RH, Argmann C, Houten SM, et al. The metabolic footprint of aging in mice. Sci Rep 2011;1:134.
25. D'Alessandro A, D'Amici GM, Vaglio S, et al. Time-course investigation of SAGM-stored leukocyte-filtered red blood cell concentrates: from metabolism to proteomics. Haematologica 2012;97:107–15.
26. D'Alessandro A, Nemkov T, Hansen KC, et al. Red blood cell storage in additive solution-7 preserves energy and redox metabolism: a metabolomics approach. Transfusion 2015;55:2955–66.
27. D'Alessandro A, Nemkov T, Kelher M, et al. Routine storage of red blood cell (RBC) units in additive solution-3: a comprehensive investigation of the RBC metabolome. Transfusion 2015;55:1155–68.
28. Pertinhez TA, Casali E, Lindner L, et al. Biochemical assessment of red blood cells during storage by 1H nuclear magnetic resonance spectroscopy. Identification of a biomarker of their level of protection against oxidative stress. Blood Transfus 2014;12:548–56.
29. Roback JD, Josephson CD, Waller EK, et al. Metabolomics of ADSOL (AS-1) red blood cell storage. Transfus Med Rev 2014;28:41–55.
30. Van 't Erve TJ, Wagner BA, Martin SM, et al. The heritability of hemolysis in stored human red blood cells. Transfusion 2015;55:1178–85.
31. Nishino T, Yachie-Kinoshita A, Hirayama A, et al. Dynamic simulation and metabolome analysis of long-term erythrocyte storage in adenine-guanosine solution. PLoS One 2013;8:e71060.
32. Bordbar A, Johansson PI, Paglia G, et al. Identified metabolic signature for assessing red blood cell unit quality is associated with endothelial damage markers and clinical outcomes. Transfusion 2016;56:852–62.
33. Clasquin MF, Melamud E, Rabinowitz JD. LC-MS data processing with MAVEN: a metabolomic analysis and visualization engine. Curr Protoc Bioinformatics 2012;Chapter 14:Unit14.11.
34. Xia J, Sinelnikov IV, Han B, et al. MetaboAnalyst 3—making metabolomics more meaningful. Nucleic Acids Res 2015;43:W251–7.
35. Dzieciatkowska M, Hill R, Hansen KC. GeLC-MS/MS analysis of complex protein mixtures. Methods Mol Biol 2014;1156:53–66.
36. van 't Erve TJ, Wagner BA, Martin SM, et al. The heritability of metabolite concentrations in stored human red blood cells. Transfusion 2014;54:2055–63.
37. Dumont LJ, D'Alessandro A, Szczepiorkowski ZM, et al. CO2 -dependent metabolic modulation in red blood cells stored under anaerobic conditions. Transfusion 2015; 56:392–403.
38. Canepa A, Filho JC, Gutierrez A, et al. Free amino acids in plasma, red blood cells, polymorphonuclear leukocytes, and muscle in normal and uraemic children. Nephrol Dial Transplant 2002;17:413–21.
39. Jamshidi N, Palsson BØ. Systems biology of the human red blood cell. Blood Cells Mol Dis 2006;36:239–47.
40. Nemkov T, D'Alessandro A, Hansen KC. Three-minute method for amino acid analysis by UHPLC and high-resolution quadrupole orbitrap mass spectrometry. Amino Acids 2015;47:2345–57.
41. Wu L, Mashego MR, van Dam JC, et al. Quantitative analysis of the microbial metabolome by isotope dilution mass spectrometry using uniformly 13C-labeled cell extracts as internal standards. Anal Biochem 2005;336:164–71.
42. Peters AL, van Bruggen R, de Korte D, et al. Glucose-6-phosphate dehydrogenase activity decreases during storage of leukoreduced red blood cells. Transfusion 2016;56:427–32.
43. Francis RO, Jhang JS, Pham HP, et al. Glucose-6-phosphate dehydrogenase deficiency in transfusion medicine: the unknown risks. Vox Sang 2013;105:271–82.
44. Reisz JA, Wither MJ, Dzieciatkowska M, et al. Oxidative modifications of glyceraldehyde 3-phosphate dehydrogenase regulate metabolic reprogramming of stored red blood cells. Blood 2016;128:e32–42.
45. Rous P, Turner JR. The preservation of living red blood cells in vitro. J Exp Med 1916;23:219–37.
46. D'Amici GM, Mirasole C, D'Alessandro A, et al. Red blood cell storage in SAGM and AS3: a comparison through the membrane two-dimensional electrophoresis proteome. Blood Transfus 2012;10Suppl2:s46–54.
47. Whillier S, Raftos JE, Sparrow RL, et al. The effects of long-term storage of human red blood cells on the glutathione synthesis rate and steady-state concentration. Transfusion 2011;51:1450–9.
48. Sun K, Zhang Y, Bogdanov MV, et al. Elevated adenosine signaling via adenosine A2B receptor induces normal and sickle erythrocyte sphingosine kinase 1 activity. Blood 2015;125:1643–52.
49. Francis RO, Jhang J, Hendrickson JE, et al. Frequency of glucose-6-phosphate dehydrogenase-deficient red blood cell units in a metropolitan transfusion service. Transfusion 2013;53:606–11.