Simple Assessment of Red Blood Cell Deformability Using Blood Pressure in Capillary Channels for Effective Detection of Subpopulations in Red Blood Cells.


Journal

ACS omega
ISSN: 2470-1343
Titre abrégé: ACS Omega
Pays: United States
ID NLM: 101691658

Informations de publication

Date de publication:
01 Nov 2022
Historique:
received: 27 06 2022
accepted: 07 10 2022
entrez: 7 11 2022
pubmed: 8 11 2022
medline: 8 11 2022
Statut: epublish

Résumé

Assessment of red blood cell (RBC) deformability as a biomarker requires expensive equipment to induce and monitor deformation. In this study, we present a simple method for quantifying RBC deformability. We designed a microfluidic channel consisting of a micropillar channel and a coflowing channel connected in series. When blood (loading volume = 100 μL) was injected continuously into the device under constant pressure (1 bar), we monitored the boundary position of the blood and the reference flow in the coflowing channel. A decrease in the deformability of RBCs results in a growing pressure drop in the micropillar channel, which is mirrored by a decrease in blood pressure in the coflowing channel. Analysis of this temporal variation in blood pressure allowed us to define the clogging index (CI) as a new marker of RBC deformability. As a result of the analytical study and numerical simulation, we have demonstrated that the coflowing channel may serve as a pressure sensor that allows the measurement of blood pressure with accuracy. We have shown experimentally that a higher hematocrit level (i.e., more than 40%) does not have a substantial influence on CI. The CI tended to increase to a higher degree in glutaraldehyde-treated hardened RBCs. Furthermore, we were able to resolve the difference in deformability of RBCs between two different RBC density subfractions in human blood. In summary, our approach using CI provides reliable information on the deformability of RBCs, which is comparable to the readouts obtained by ektacytometry. We believe that our microfluidic device would be a useful tool for evaluating the deformability of RBCs, which does not require expensive instruments (e.g., high-speed camera) or time-consuming micro-PIV analysis.

Identifiants

pubmed: 36340168
doi: 10.1021/acsomega.2c04027
pmc: PMC9631408
doi:

Types de publication

Journal Article

Langues

eng

Pagination

38576-38588

Informations de copyright

© 2022 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

Références

Lab Chip. 2008 Jul;8(7):1062-70
pubmed: 18584080
Lab Chip. 2013 Jan 7;13(1):161-70
pubmed: 23147069
Physiol Meas. 2020 Mar 06;41(2):025009
pubmed: 32000147
Lab Chip. 2010 Oct 7;10(19):2605-13
pubmed: 20689864
Biophys J. 2019 Mar 19;116(6):1127-1135
pubmed: 30799072
Lab Chip. 2011 Mar 21;11(6):1065-73
pubmed: 21293801
Front Physiol. 2020 May 07;11:392
pubmed: 32457644
Clin Chim Acta. 1979 Oct 15;98(1-2):119-25
pubmed: 498523
Phys Rev Lett. 2013 Feb 15;110(7):078305
pubmed: 25166417
Exp Biol Med (Maywood). 2021 Jun;246(12):1458-1472
pubmed: 33794696
Nat Methods. 2020 Jun;17(6):587-593
pubmed: 32341544
Proc Natl Acad Sci U S A. 2016 Jul 12;113(28):7804-9
pubmed: 27354532
Lab Chip. 2012 Feb 7;12(3):515-45
pubmed: 22179505
Front Physiol. 2019 May 14;10:514
pubmed: 31139090
Thromb Res. 2019 Apr;176:11-17
pubmed: 30763822
Anal Chem. 2016 Mar 1;88(5):2912-22
pubmed: 26845250
Soft Matter. 2018 May 30;14(21):4238-4251
pubmed: 29561062
Lab Chip. 2012 Mar 21;12(6):1143-50
pubmed: 22318405
Haematologica. 2012 Apr;97(4):500-8
pubmed: 22102700
Front Physiol. 2018 Jun 01;9:656
pubmed: 29910743
Micromachines (Basel). 2020 Feb 20;11(2):
pubmed: 32093288
Micromachines (Basel). 2020 Feb 26;11(3):
pubmed: 32111057
Nat Commun. 2019 Jan 24;10(1):415
pubmed: 30679420
Front Physiol. 2019 Jul 17;10:893
pubmed: 31379601
Curr Opin Hematol. 2021 Nov 1;28(6):438-444
pubmed: 34494977
Nat Commun. 2020 May 4;11(1):2190
pubmed: 32366850
Lab Chip. 2016 Feb 21;16(4):645-54
pubmed: 26768227
Front Physiol. 2021 Sep 22;12:722896
pubmed: 34690797
Clin Chim Acta. 1984 Sep 15;142(1):91-102
pubmed: 6478627
Proc Natl Acad Sci U S A. 2003 Dec 9;100(25):14618-22
pubmed: 14638939
Biophys J. 2010 Nov 3;99(9):2906-16
pubmed: 21044588
Lab Chip. 2012 Jul 21;12(14):2560-7
pubmed: 22581052
Anal Methods. 2021 Oct 28;13(41):4871-4883
pubmed: 34586112
Front Physiol. 2020 Jun 12;11:576
pubmed: 32595519
RSC Adv. 2020;10(64):38923-38936
pubmed: 33240491
Proc Natl Acad Sci U S A. 2016 Nov 22;113(47):13289-13294
pubmed: 27834220
Science. 1969 May 9;164(3880):717-9
pubmed: 5778020
Analyst. 2016 Jan 7;141(1):319-30
pubmed: 26616556
Lab Chip. 2013 Oct 7;13(19):3903-3909
pubmed: 23925122
Sensors (Basel). 2017 Sep 06;17(9):
pubmed: 28878199
Biomed Microdevices. 2009 Oct;11(5):1021-7
pubmed: 19434498
Lab Chip. 2006 Jul;6(7):914-20
pubmed: 16804596
Haematologica. 2020 Jan 31;105(2):338-347
pubmed: 31147440

Auteurs

Yang Jun Kang (YJ)

Department of Mechanical Engineering, Chosun University, Gwangju501-759, Republic of Korea.

Sami Serhrouchni (S)

Institute of Veterinary Physiology, University of Zürich, Zürich8057, Switzerland.

Asya Makhro (A)

Institute of Veterinary Physiology, University of Zürich, Zürich8057, Switzerland.

Anna Bogdanova (A)

Institute of Veterinary Physiology, University of Zürich, Zürich8057, Switzerland.
Center for Clinical Studies (ZKS), Vetsuisse Faculty, University of Zürich, Zürich8006, Switzerland.

Sung Sik Lee (SS)

Scientific Center for Optical and Electron Microscopy, ETH Zürich, Zürich8093, Switzerland.
Department of Biology, Institute of Biochemistry, ETH Zürich, Zürich8093, Switzerland.

Classifications MeSH