Large-Scale Synthesis of Monodisperse Red Blood Cell (RBC)-Like Polymer Particles

2016 ◽  
Vol 5 (2) ◽  
pp. 174-176 ◽  
Author(s):  
Delong Xie ◽  
Xiaolin Ren ◽  
Yuhui Xie ◽  
Xinya Zhang ◽  
Shijun Liao
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Large Scale ◽  
Polymer Particles ◽  
Large Scale Synthesis

scholarly journals On the effects of membrane viscosity on transient red blood cell dynamics

Soft Matter ◽  
2020 ◽  
Vol 16 (26) ◽  
pp. 6191-6205 ◽  
Author(s):  
Fabio Guglietta ◽  
Marek Behr ◽  
Luca Biferale ◽  
Giacomo Falcucci ◽  
Mauro Sbragaglia
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Blood Circulation ◽  
Hydraulic Properties ◽  
Large Scale ◽  
Mechanical Response ◽  
Cell Dynamics ◽  
Membrane Viscosity

Computational Fluid Dynamics is currently used to design and improve the hydraulic properties of biomedical devices, wherein the large scale blood circulation needs to be simulated by accounting for the mechanical response of RBCs at the mesoscale.

scholarly journals Effect of Cytoplasmic Viscosity on Red Blood Cell Migration in Small Arteriole-level Confinements

2019 ◽  
Author(s):  
Amir Saadat ◽  
Christopher J. Guido ◽  
Eric S. G. Shaqfeh
Keyword(s):  
Blood Cell ◽  
Red Blood Cells ◽  
Red Blood Cell ◽  
Blood Cells ◽  
Large Scale ◽  
Volume Fraction ◽  
Free Layer ◽  
Channel Size ◽  
Viscosity Contrast ◽  
Cell Free Layer

The dynamics of red blood cells in small arterioles are important as these dynamics affect many physiological processes such as hemostasis and thrombosis. However, studying red blood cell flows via computer simulations is challenging due to the complex shapes and the non-trivial viscosity contrast of a red blood cell. To date, little progress has been made studying small arteriole flows (20-40μm) with a hematocrit (red blood cell volume fraction) of 10-20% and a physiological viscosity contrast. In this work, we present the results of large-scale simulations that show how the channel size, viscosity contrast of the red blood cells, and hematocrit affect cell distributions and the cell-free layer in these systems. We utilize a massively-parallel immersed boundary code coupled to a finite volume solver to capture the particle resolved physics. We show that channel size qualitatively changes how the cells distribute in the channel. Our results also indicate that at a hematocrit of 10% that the viscosity contrast is not negligible when calculating the cell free layer thickness. We explain this result by comparing lift and collision trajectories of cells at different viscosity contrasts.

Large scale simulation of red blood cell aggregation in shear flows

2013 ◽  
Vol 46 (11) ◽  
pp. 1810-1817 ◽  
Author(s):  
Dong Xu ◽  
Efstathios Kaliviotis ◽  
Ante Munjiza ◽  
Eldad Avital ◽  
Chunning Ji ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Large Scale ◽  
Shear Flows ◽  
Cell Aggregation ◽  
Large Scale Simulation ◽  
Red Blood Cell Aggregation ◽  
Blood Cell Aggregation

scholarly journals Red Blood Cell Extracellular Vesicle-Based Drug Delivery: Challenges and Opportunities

2021 ◽  
Vol 8 ◽  
Author(s):  
Wararat Chiangjong ◽  
Pukkavadee Netsirisawan ◽  
Suradej Hongeng ◽  
Somchai Chutipongtanate
Keyword(s):  
Drug Delivery ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Large Scale ◽  
Regulatory Protein ◽  
Extracellular Vesicle ◽  
Clinical Applications ◽  
Target Cells ◽  
Scale Production ◽  
Advantages And Disadvantages

Recently, red blood cell-derived extracellular vesicles (RBCEVs) have attracted attention for clinical applications because of their safety and biocompatibility. RBCEVs can escape macrophages through the binding of CD47 to inhibitory receptor signal regulatory protein α. Furthermore, genetic materials such as siRNA, miRNA, mRNA, or single-stranded RNA can be encapsulated within RBCEVs and then released into target cells for precise treatment. However, their side effects, half-lives, target cell specificity, and limited large-scale production under good manufacturing practice remain challenging. In this review, we summarized the biogenesis and composition of RBCEVs, discussed the advantages and disadvantages of RBCEVs for drug delivery compared with synthetic nanovesicles and non-red blood cell-derived EVs, and provided perspectives for overcoming current limitations to the use of RBCEVs for clinical applications.

scholarly journals Correlation between Red Blood Cell Distribution width, Neutrophil to Lymphocyte Ratio and Neutrophil to Platelet Ratio with 3-month Prognosis of Patients with Intracerebral Hemorrhage: A Retrospective Study

2022 ◽  
Author(s):  
Sheida Shaafi ◽  
Ehsan Bonakdari ◽  
Yalda Sadeghpour ◽  
Seyed Aria Nejadghaderi
Keyword(s):  
Prognostic Factor ◽  
Blood Cell ◽  
Intracerebral Hemorrhage ◽  
Red Blood Cell ◽  
Large Scale ◽  
Complete Blood Count ◽  
Cell Distribution ◽  
Distribution Width ◽  
Significant Difference ◽  
The Mean

Abstract Background: Red cell distribution width (RDW) is a parameter that indicates the heterogeneity of red blood cell size and could be as a prognostic factor in some diseases. Also, intracerebral hemorrhage (ICH) is considered a vascular event with a high mortality rate. Here, we aimed to examine the role of RDW, neutrophil to lymphocyte (NLR) and neutrophil to platelet ratios (NPR) in predicting the prognosis of patients with ICH.Methods: This is a retrospective cohort study which conducted on 140 patients with ICH admitted to the neurology ward and intensive care unit (ICU) in Imam Reza Hospital, Tabriz, Iran. Demographic data, National Institutes of Health Stroke Scale (NIHSS), and complete blood count (CBC) test parameters evaluated within 24 hours after hospitalization. These variables collected and re-evaluated three months later. Results: The mean age of the study population was 61.14 (±16) years and 51% were male. RDW had a significant positive correlation with hemoglobin concentration (r=0.3; p<0.001) and significant negative correlation with MCHC (r=-0.57; p<0.001) and neutrophil count (r=-0.235; p=0.006). Also, the mean NLR (p=0.05), neutrophil and platelet count (p=0.05), NIHSS (p=0.05), and RDW (p=0.01) had a significant difference between the deceased patients and those who partially recovered after 3 months. Moreover, the results of logistic regression showed variables including RDW (p=0.006) and NIHSS (p<0.001) levels were correlated significantly with mortality. Conclusion: RDW could be an appropriate prognostic factor and predictor in determining 3-months survival in ICH. Nevertheless, further large-scale prospective cohorts might be needed to evaluate the associations.

scholarly journals Large-scale use of red blood cell units containing alloantibodies

2020 ◽  
Vol 16 (3) ◽  
pp. 120-123
Author(s):  
Martha R. Combs ◽  
Donald H. Bennett ◽  
Marilyn J. Telen
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Large Scale

Design and Particle Image Velocimetry Investigation of a Turbulent Mini-Jet Hemolysis Testing Apparatus

2008 ◽  
Author(s):  
Thomas W. R. Fountain ◽  
Steven W. Day
Keyword(s):  
Shear Stress ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Large Scale ◽  
Reynolds Shear Stress ◽  
Spatial Scales ◽  
Turbulent Jets ◽  
Turbulent Shear ◽  
Turbulent Shear Flow ◽  
Reynolds Stresses

Hemolysis is the break up of red blood cells, and is a condition that is of concern during the design process of blood contacting prostheses. In turbulent flows, hemolysis has been most often correlated to Reynolds shear stress. Mini-scale turbulent jets have been used for hemolysis experiments because they allow for explicit control of shear. Quantitative predictions of hemolysis from shear stress are unreliable, with experimentally determined threshold Reynolds stresses for turbulent shear flow range from 400Pa to 5000Pa, with recent experiments at 800Pa. Reynolds stresses are a statistic of large scale turbulence, and act at spatial scales much larger than that of a red blood cell. It has been suggested in literature that hemolysis may be related to stresses induced by turbulent energy dissipation, which acts as a spatial scale closer to that of a red blood cell. The dissipation of turbulence kinetic energy occurs at the Kolmogorov scales, which is generally similar in scale to that of a red blood cell.

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