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Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine |
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| Author: | Isiksacan, Ziya1,2; D’Alessandro, Angelo3; Wolf, Susan M.4; |
| Organizations: |
1Center for Engineering in Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 2Shriners Children’s, Boston, MA 02114 3Department of Biochemistry and Molecular Genetics, University of Colorado Denver – Anschutz Medical Campus, Aurora, CO 80045
4Law School, Medical School, Consortium on Law and Values in Health, Environment & the Life Sciences, University of Minnesota, Minneapolis, MN 55455
5Division of Transfusion Medicine, Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455 6BioChip Labs, Cleveland, OH 44195 7Department of Chemical Engineering, Hacettepe University, Ankara 06532, Turkey 8Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2R8, Canada 9Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455 10Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455 11New York Blood Center, New York, NY 10065 12Vitalant Research Institute, San Francisco, CA 94105 13Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94105 14Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center, Bilkent University, Ankara 06800, Turkey 15Faculty of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Oulu, 90014 Oulu, Finland 16Valtion Teknillinen Tutkimuskeskus Technical Research Centre of Finland Ltd., 90570 Oulu, Finland 17Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106 18Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106 19Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106 20Innovation and Portfolio Management, Canadian Blood Services, Edmonton, AB T6G 2R8, Canada 21Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854 |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe20231101142281 |
| Language: | English |
| Published: |
National Academy of Sciences of the United States of America,
2023
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| Publish Date: | 2023-11-01 |
| Description: |
AbstractTransfusion 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. see all
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| Series: |
Proceedings of the National Academy of Sciences of the United States of America |
| ISSN: | 0027-8424 |
| ISSN-E: | 1091-6490 |
| ISSN-L: | 0027-8424 |
| Volume: | 120 |
| Issue: | 32 |
| Article number: | e2115616120 |
| DOI: | 10.1073/pnas.2115616120 |
| OADOI: | https://oadoi.org/10.1073/pnas.2115616120 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
1182 Biochemistry, cell and molecular biology |
| Subjects: | |
| Funding: |
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). The content of this article is the responsibility of the authors and does not necessarily represent the official views of the NIH or the NSF. Figures were created with BioRender.com. |
| Copyright information: |
© 2023 the Author(s). Published by PNAS. This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |