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

Author:

Isiksacan Ziya12ORCID,D’Alessandro Angelo3ORCID,Wolf Susan M.4ORCID,McKenna David H.5ORCID,Tessier Shannon N.12ORCID,Kucukal Erdem6,Gokaltun A. Aslihan127ORCID,William Nishaka8,Sandlin Rebecca D.1,Bischof John910,Mohandas Narla11ORCID,Busch Michael P.1213ORCID,Elbuken Caglar141516ORCID,Gurkan Umut A.171819ORCID,Toner Mehmet12,Acker Jason P.820ORCID,Yarmush Martin L.1221,Usta O. Berk12ORCID

Affiliation:

1. Center for Engineering in Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114

2. Shriners Children’s, Boston, MA 02114

3. Department of Biochemistry and Molecular Genetics, University of Colorado Denver – Anschutz Medical Campus, Aurora, CO 80045

4. Law School, Medical School, Consortium on Law and Values in Health, Environment & the Life Sciences, University of Minnesota, Minneapolis, MN 55455

5. Division of Transfusion Medicine, Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455

6. BioChip Labs, Cleveland, OH 44195

7. Department of Chemical Engineering, Hacettepe University, Ankara 06532, Turkey

8. Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2R8, Canada

9. Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455

10. Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455

11. New York Blood Center, New York, NY 10065

12. Vitalant Research Institute, San Francisco, CA 94105

13. Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94105

14. Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center, Bilkent University, Ankara 06800, Turkey

15. Faculty of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Oulu, 90014 Oulu, Finland

16. Valtion Teknillinen Tutkimuskeskus Technical Research Centre of Finland Ltd., 90570 Oulu, Finland

17. Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106

18. Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106

19. Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106

20. Innovation and Portfolio Management, Canadian Blood Services, Edmonton, AB T6G 2R8, Canada

21. Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854

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.

Funder

HHS | NIH | National Heart, Lung, and Blood Institute

HHS | NIH | National Institute of General Medical Sciences

National Science Foundation

Academy of Finland

HHS | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases

HHS | NIH | NHLBI | NHLBI Division of Intramural Research

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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