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Metabolism of stored human and macaque RBC
ular similarities and differences in metabolic phenotypes of fresh and stored RBC when comparing these two species will inform the appropriateness of RM as a model in transfusion medicine and, specifically, of RBC storage in the context of specific interventions (e.g., testing novel storage additives). As such, our results suggest that sever- al metabolic pathways in RM RBC overlap those in human RBC at baseline and during storage. This assess- ment of comparative RBC biology will likely be relevant in pre-clinical and clinical transfusion medicine and hematology. Nonetheless, clear differences emerged in this initial comparison, which provide opportunities for
further investigation of uniquely different biochemical pathways that affect RBC under baseline conditions and during refrigerated storage.
Acknowledgments
Research reported in this publication was supported by funds from the Boettcher Webb-Waring Investigator Award (to ADA), RM1GM131968 from the National Institute of General and Medical Sciences (to ADA), R01HL146442 (to ADA) and R01HL148151 (to SLS, ADA, and JCZ) from the National Heart, Lung and Blood Institutes (to ADA) and a Shared Instrument grant from the National Institute of Health (S10OD021641).
sus red blood cell proteome: a first compari- son with the human and mouse red blood cell. Blood Transfus. 2010;8(Suppl 3):s126-
References
1. Rhesus Macaque Genome Sequencing and Analysis Consortium, Gibbs RA, Rogers J, et al. Evolutionary and biomedical insights from the rhesus macaque genome. Science. 2007;316(5822):222-234.
2. ReiszJA,WitherMJ,MooreEE,etal.Allani- mals are equal but some animals are more equal than others: plasma lactate and succi- nate in hemorrhagic shock - a comparison in rodents, swine, nonhuman primates, and injured patients. J Trauma Acute Care Surg. 2018;84(3):537-541.
3. HatziioannouT,AmbroseZ,ChungNPY,et al. A macaque model of HIV-1 infection. Proc Natl Acad Sci U S A. 2009;106 (11):4425-4429.
4. Lankau EW, Turner PV, Mullan RJ, Galland GG. Use of nonhuman primates in research in North America. J Am Assoc Lab Anim Sci. 2014;53(3):278-282.
5. D’AlessandroA,MooreHB,MooreEE,etal. Early hemorrhage triggers metabolic responses that build up during prolonged shock. Am J Physiol Regul Integr Comp Physiol. 2015;308(12):R1034-1044.
6. Schwarz H, Dorner F. Karl Landsteiner and his major contributions to haematology. Br J Haematol. 2003;121(4):556-565.
7. Waterman HR, Kapp LM, Howie HL, et al. Analysis of 24-h recovery of transfused stored RBCs in recipient mice of distinct genetic backgrounds. Vox Sang. 2015;109(2): 148-154.
8. YoshidaT,PrudentM,D’AlessandroA.Red blood cell storage lesion: causes and poten- tial clinical consequences. Blood Transfus. 2019;17(1):27-52.
9. Reisz JA, Wither MJ, Dzieciatkowska M, et al. Oxidative modifications of glyceralde- hyde 3-phosphate dehydrogenase regulate metabolic reprogramming of stored red blood cells. Blood. 2016;128(12):e32-42.
10. D’AlessandroA,ReiszJA,Culp-HillR,etal. Metabolic effect of alkaline additives and guanosine/gluconate in storage solutions for red blood cells. Transfusion. 2018;58(8): 1992-2002.
11. RolfssonÓ,SigurjonssonÓE,Magnusdottir M, et al. Metabolomics comparison of red cells stored in four additive solutions reveals differences in citrate anticoagulant perme- ability and metabolism. Vox Sang. 2017;112(4):326-335.
12. Cancelas JA, Dumont LJ, Maes LA, et al. Additive solution-7 reduces the red blood cell cold storage lesion. Transfusion. 2015;55(3):491-498.
13. Pertinhez TA, Casali E, Baroni F, et al. A
comparative study of the effect of leukore-
duction and pre-storage leukodepletion on
red blood cells during storage. Front Mol
Biosci. 2016;3:13. 139.
14. D’Alessandro A, Culp-Hill R, Reisz JA, et al. Heterogeneity of blood processing and stor- age additives in different centers impacts stored red blood cell metabolism as much as storage time: lessons from REDS III – Omics. Transfusion. 2019;59(1):89-100.
27. Reisz JA, Nemkov T, Dzieciatkowska M, et al. Methylation of protein aspartates and deamidated asparagines as a function of blood bank storage and oxidative stress in human red blood cells. Transfusion. 2018;58(12):2978-2991.
28. Nemkov T, Hansen KC, Dumont LJ, D’Alessandro A. Metabolomics in transfu- sion medicine. Transfusion. 2016;56(4):980-
15. D’Alessandro A, Zimring JC, Busch M. Chronological storage age and metabolic
age of stored red blood cells: are they the
same? Transfusion. 2019;59(5):1620-1623. 993.
16. Kanias T, Lanteri MC, Page GP, et al. Ethnicity, sex, and age are determinants of red blood cell storage and stress hemolysis: results of the REDS-III RBC-Omics study. Blood Adv. 2017;1(15):1132-1141.
17. Zimring JC, Smith N, Stowell SR, et al. Strain-specific red blood cell storage, metab- olism, and eicosanoid generation in a mouse model. Transfusion. 2014;54(1):137-148.
18. de Wolski K, Fu X, Dumont LJ, et al. Metabolic pathways that correlate with post-transfusion circulation of stored murine red blood cells. Haematologica. 2016;101(5): 578-586.
19. Hod EA, Zhang N, Sokol SA, et al. Transfusion of red blood cells after pro- longed storage produces harmful effects that are mediated by iron and inflammation. Blood. 2010;115(21):4284-4292.
20. Klein HG. The red cell storage lesion(s): of dogs and men. Blood Transfus. 2017;15 (2):107-111.
21. Solomon SB, Wang D, Sun J, et al. Mortality increases after massive exchange transfusion with older stored blood in canines with experimental pneumonia. Blood. 2013;121 (9):1663-1672.
22. Chen Y, Qin S, Ding Y, et al. Reference val- ues of clinical chemistry and hematology parameters in rhesus monkeys (Macaca mulatta). Xenotransplantation. 2009;16(6): 496-501.
23. Fonseca LL, Alezi HS, Moreno A, et al. Quantifying the removal of red blood cells in Macaca mulatta during a Plasmodium coatneyi infection. Malar J. 2016;15(1):410.
24. Fonseca LL, Joyner CJ, Saney CL, et al. Analysis of erythrocyte dynamics in Rhesus macaque monkeys during infection with Plasmodium cynomolgi. Malar J. 2018; 17(1):410.
25. Kaestner L, Minetti G. The potential of ery- throcytes as cellular aging models. Cell Death Differ. 2017;24(9):1475-1477.
26. Pasini EM, Kirkegaard M, Mortensen P, Mann M, Thomas AW. Deep-coverage rhe-
29. Nemkov T, Hansen KC, D’Alessandro A. A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways. Rapid Commun Mass Spectrom Rapid Commun Mass Spectrom. 2017;31(8):663-673.
30. Fu X, Felcyn JR, Odem-Davis K, Zimring JC. Bioactive lipids accumulate in stored red blood cells despite leukoreduction: a target- ed metabolomics study. Transfusion. 2016;56(10):2560-2570.
31. D’Alessandro A, Nemkov T, Yoshida T, et al. Citrate metabolism in red blood cells stored in additive solution-3. Transfusion. 2017;57(2):325-336.
32. Chong J, Soufan O, Li C, et al. MetaboAnalyst 4.0: towards more transpar- ent and integrative metabolomics analysis. Nucleic Acids Res. 2018;46(W1):W486- W494.
33. D’Alessandro A, Nemkov T, Yoshida T, et al. Citrate metabolism in red blood cells stored in additive solution-3. Transfusion. 2017;57(2):325-336.
34. Nemkov T, Sun K, Reisz JA, et al. Metabolism of citrate and other carboxylic acids in erythrocytes as a function of oxygen saturation and refrigerated storage. Front Med. 2017;4:175.
35. Nemkov T, Sun K, Reisz JA, et al. Hypoxia modulates the purine salvage pathway and decreases red blood cell and supernatant lev- els of hypoxanthine during refrigerated stor- age. Haematologica. 2018;103(2):361-372.
36. Nemkov T, Hansen KC, D’Alessandro A. A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways. Rapid Commun Mass Spectrom Rapid Commun Mass Spectrom. 2017;31(8):663-673.
37. D’Alessandro A, Dzieciatkowska M, Nemkov T, Hansen KC. Red blood cell pro- teomics update: is there more to discover? Blood Transfus. 2017;15(2):182-187.
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