Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine

Ziya Isiksacan; Angelo D’Alessandro; Susan M. Wolf; David H. McKenna; Shannon N. Tessier; Erdem Kucukal; A. Aslihan Gokaltun; Nishaka William; Rebecca D. Sandlin; John Bischof; Narla Mohandas; Michael P. Busch; Caglar Elbuken; Umut A. Gurkan; Mehmet Toner; Jason P. Acker; Martin L. Yarmush; O. Berk Usta

doi:10.1073/pnas.2115616120

Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine

Ziya Isiksacan, Angelo D’Alessandro (Corresponding Author), Susan M. Wolf, David H. McKenna, Shannon N. Tessier, Erdem Kucukal, A. Aslihan Gokaltun, Nishaka William, Rebecca D. Sandlin, John Bischof, Narla Mohandas, Michael P. Busch, Caglar Elbuken, Umut A. Gurkan, Mehmet Toner, Jason P. Acker, Martin L. Yarmush, O. Berk Usta (Corresponding Author)

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Abstract

Transfusion of red blood cells (RBCs) is one of the most valuable and widespread treatments in modern medicine. Lifesaving RBC transfusions are facilitated by the cold storage of RBC units in blood banks worldwide. Currently, RBC storage and subsequent transfusion practices are performed using simplistic workflows. More specifically, most blood banks follow the “first-in-first-out” principle to avoid wastage, whereas most healthcare providers prefer the “last-in-first-out” approach simply favoring chronologically younger RBCs. Neither approach addresses recent advances through -omics showing that stored RBC quality is highly variable depending on donor-, time-, and processing-specific factors. Thus, it is time to rethink our workflows in transfusion medicine taking advantage of novel technologies to perform RBC quality assessment. We imagine a future where lab-on-a-chip technologies utilize novel predictive markers of RBC quality identified by -omics and machine learning to usher in a new era of safer and precise transfusion medicine.

Original language	English
Article number	e2115616120
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	120
Issue number	32
DOIs	https://doi.org/10.1073/pnas.2115616120
Publication status	Published - 2023
MoE publication type	A1 Journal article-refereed

Funding

ACKNOWLEDGMENTS. This work was supported partially by grants from the National Institutes of Health (R21GM136002, R21GM141683, and R21GM10656 for O.B.U., A.A.G., and M.L.Y., R01AR081529 for O.B.U. and A.A.G., and R01HL145031 for O.B.U., J.P.A., Z.I., and M.L.Y.; R00HL143149, R01HL157803, and R01DK134590 for S.N.T.; and R01HL146442, R01HL149714, R01HL148151, and R21HL150032 for A.D.) and National Science Foundation (EEC-1941543 for O.B.U., Z.I., A.A.G., M.L.Y., M.T., J.B., S.N.T., and S.M.W.). C.E. was supported by the DigiHealth strategic profiling project (Academy of Finland no. 326291) and by the European Union (European Research Council, BiNET, 101043314).

Keywords

preservation
red blood cells
transfusion

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10.1073/pnas.2115616120

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Isiksacan, Z., D’Alessandro, A., Wolf, S. M., McKenna, D. H., Tessier, S. N., Kucukal, E., Gokaltun, A. A., William, N., Sandlin, R. D., Bischof, J., Mohandas, N., Busch, M. P., Elbuken, C., Gurkan, U. A., Toner, M., Acker, J. P., Yarmush, M. L., & Usta, O. B. (2023). Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine. Proceedings of the National Academy of Sciences of the United States of America, 120(32), Article e2115616120. https://doi.org/10.1073/pnas.2115616120

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title = "Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine",

abstract = "Transfusion of red blood cells (RBCs) is one of the most valuable and widespread treatments in modern medicine. Lifesaving RBC transfusions are facilitated by the cold storage of RBC units in blood banks worldwide. Currently, RBC storage and subsequent transfusion practices are performed using simplistic workflows. More specifically, most blood banks follow the “first-in-first-out” principle to avoid wastage, whereas most healthcare providers prefer the “last-in-first-out” approach simply favoring chronologically younger RBCs. Neither approach addresses recent advances through -omics showing that stored RBC quality is highly variable depending on donor-, time-, and processing-specific factors. Thus, it is time to rethink our workflows in transfusion medicine taking advantage of novel technologies to perform RBC quality assessment. We imagine a future where lab-on-a-chip technologies utilize novel predictive markers of RBC quality identified by -omics and machine learning to usher in a new era of safer and precise transfusion medicine.",

keywords = "preservation, red blood cells, transfusion",

author = "Ziya Isiksacan and Angelo D{\textquoteright}Alessandro and Wolf, {Susan M.} and McKenna, {David H.} and Tessier, {Shannon N.} and Erdem Kucukal and Gokaltun, {A. Aslihan} and Nishaka William and Sandlin, {Rebecca D.} and John Bischof and Narla Mohandas and Busch, {Michael P.} and Caglar Elbuken and Gurkan, {Umut A.} and Mehmet Toner and Acker, {Jason P.} and Yarmush, {Martin L.} and Usta, {O. Berk}",

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doi = "10.1073/pnas.2115616120",

language = "English",

volume = "120",

journal = "Proceedings of the National Academy of Sciences of the United States of America",

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Isiksacan, Z, D’Alessandro, A, Wolf, SM, McKenna, DH, Tessier, SN, Kucukal, E, Gokaltun, AA, William, N, Sandlin, RD, Bischof, J, Mohandas, N, Busch, MP, Elbuken, C, Gurkan, UA, Toner, M, Acker, JP, Yarmush, ML & Usta, OB 2023, 'Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine', Proceedings of the National Academy of Sciences of the United States of America, vol. 120, no. 32, e2115616120. https://doi.org/10.1073/pnas.2115616120

Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine. / Isiksacan, Ziya; D’Alessandro, Angelo (Corresponding Author); Wolf, Susan M. et al.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 120, No. 32, e2115616120, 2023.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine

AU - Isiksacan, Ziya

AU - D’Alessandro, Angelo

AU - Wolf, Susan M.

AU - McKenna, David H.

AU - Tessier, Shannon N.

AU - Kucukal, Erdem

AU - Gokaltun, A. Aslihan

AU - William, Nishaka

AU - Sandlin, Rebecca D.

AU - Bischof, John

AU - Mohandas, Narla

AU - Busch, Michael P.

AU - Elbuken, Caglar

AU - Gurkan, Umut A.

AU - Toner, Mehmet

AU - Acker, Jason P.

AU - Yarmush, Martin L.

AU - Usta, O. Berk

PY - 2023

Y1 - 2023

N2 - Transfusion of red blood cells (RBCs) is one of the most valuable and widespread treatments in modern medicine. Lifesaving RBC transfusions are facilitated by the cold storage of RBC units in blood banks worldwide. Currently, RBC storage and subsequent transfusion practices are performed using simplistic workflows. More specifically, most blood banks follow the “first-in-first-out” principle to avoid wastage, whereas most healthcare providers prefer the “last-in-first-out” approach simply favoring chronologically younger RBCs. Neither approach addresses recent advances through -omics showing that stored RBC quality is highly variable depending on donor-, time-, and processing-specific factors. Thus, it is time to rethink our workflows in transfusion medicine taking advantage of novel technologies to perform RBC quality assessment. We imagine a future where lab-on-a-chip technologies utilize novel predictive markers of RBC quality identified by -omics and machine learning to usher in a new era of safer and precise transfusion medicine.

AB - Transfusion of red blood cells (RBCs) is one of the most valuable and widespread treatments in modern medicine. Lifesaving RBC transfusions are facilitated by the cold storage of RBC units in blood banks worldwide. Currently, RBC storage and subsequent transfusion practices are performed using simplistic workflows. More specifically, most blood banks follow the “first-in-first-out” principle to avoid wastage, whereas most healthcare providers prefer the “last-in-first-out” approach simply favoring chronologically younger RBCs. Neither approach addresses recent advances through -omics showing that stored RBC quality is highly variable depending on donor-, time-, and processing-specific factors. Thus, it is time to rethink our workflows in transfusion medicine taking advantage of novel technologies to perform RBC quality assessment. We imagine a future where lab-on-a-chip technologies utilize novel predictive markers of RBC quality identified by -omics and machine learning to usher in a new era of safer and precise transfusion medicine.

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M3 - Article

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AN - SCOPUS:85165904133

SN - 0027-8424

VL - 120

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

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M1 - e2115616120

ER -

Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine

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