Midhun Puthumana Melepattu, Guillaume Maîtrejean, Christian Wagner, Thomas Podgorski
{"title":"Influence of cell density and in-vivo aging on erythrocyte aggregability: Dissociation dynamics in extensional flow","authors":"Midhun Puthumana Melepattu, Guillaume Maîtrejean, Christian Wagner, Thomas Podgorski","doi":"arxiv-2409.08877","DOIUrl":null,"url":null,"abstract":"Blood rheology and microcirculation are strongly influenced by red blood cell\n(RBC) aggregation. The aggregability of RBCs can vary significantly due to\nfactors such as their mechanical and membrane surface properties, which are\naffected by cell aging in vivo. In this study, we investigate RBC aggregability\nas a function of their density, a marker of cell age and mechanical properties,\nby separating RBCs from healthy donors into different density fractions using\nPercoll density gradient centrifugation. We examine the dissociation rates of\naggregates in a controlled medium supplemented with Dextran, employing an\nextensional flow technique based on hyperbolic microfluidic constrictions and\nimage analysis, assisted by a convolutional neural network (CNN). In contrast\nto other techniques, our microfluidic experimental approach highlights the\nbehavior of RBC aggregates in dynamic flow conditions relevant to\nmicrocirculation. Our results demonstrate that aggregate dissociation is\nstrongly correlated with cell density and that aggregates formed from the\ndenser fractions of RBCs are significantly more robust than those from the\naverage cell population. This study provides insight into the effect of RBC\naging in vivo on their mechanical properties and aggregability, underscoring\nthe importance of further exploration of RBC aggregation in the context of\ncellular senescence and its potential implications for hemodynamics.\nAdditionally, it suggests that this technique can complement existing methods\nfor improved evaluation of RBC aggregability in health and disease.","PeriodicalId":501040,"journal":{"name":"arXiv - PHYS - Biological Physics","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Biological Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Blood rheology and microcirculation are strongly influenced by red blood cell
(RBC) aggregation. The aggregability of RBCs can vary significantly due to
factors such as their mechanical and membrane surface properties, which are
affected by cell aging in vivo. In this study, we investigate RBC aggregability
as a function of their density, a marker of cell age and mechanical properties,
by separating RBCs from healthy donors into different density fractions using
Percoll density gradient centrifugation. We examine the dissociation rates of
aggregates in a controlled medium supplemented with Dextran, employing an
extensional flow technique based on hyperbolic microfluidic constrictions and
image analysis, assisted by a convolutional neural network (CNN). In contrast
to other techniques, our microfluidic experimental approach highlights the
behavior of RBC aggregates in dynamic flow conditions relevant to
microcirculation. Our results demonstrate that aggregate dissociation is
strongly correlated with cell density and that aggregates formed from the
denser fractions of RBCs are significantly more robust than those from the
average cell population. This study provides insight into the effect of RBC
aging in vivo on their mechanical properties and aggregability, underscoring
the importance of further exploration of RBC aggregation in the context of
cellular senescence and its potential implications for hemodynamics.
Additionally, it suggests that this technique can complement existing methods
for improved evaluation of RBC aggregability in health and disease.