The Effect of Rigid Cells on Blood Viscosity: Linking Rheology and Sickle Cell Anemia

Soft Matter ◽  
2022 ◽  
Author(s):  
Antonio Perazzo ◽  
Zhangli Peng ◽  
Yuan-Nan Young ◽  
Zhe Feng ◽  
David Wood ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Viscosity ◽  
Blood Cells ◽  
Deformable Objects ◽  
Blood Capillaries

ickle cell anemia (SCA) is a disease that affects red blood cells (RBCs). Healthy RBCs are highly deformable objects that under flow can penetrate blood capillaries smaller than their typical...

scholarly journals Elastic property of sickle cell anemia and sickle cell trait red blood cells

2021 ◽  
Vol 26 (09) ◽  
Author(s):  
Endris Muhammed ◽  
James Cooper ◽  
Daniel Devito ◽  
Robert Mushi ◽  
Maria del Pilar Aguinaga ◽  
...  
Keyword(s):  
Elastic Property ◽  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells ◽  
Sickle Cell Trait

scholarly journals The effect of the antisickling compoundGBT1118 on the permeability of red blood cells from patients with sickle cell anemia

2019 ◽  
Vol 7 (6) ◽  
pp. e14027 ◽  
Author(s):  
Halima Al Balushi ◽  
Kobina Dufu ◽  
David C. Rees ◽  
John N. Brewin ◽  
Anke Hannemann ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells

scholarly journals Peripheral Red Blood Cell Split Chimerism as a Consequence of Intramedullary Selective Apoptosis of Recipient Red Blood Cells in a Case of Sickle Cell Disease

2014 ◽  
Vol 6 (1) ◽  
pp. e2014066 ◽  
Author(s):  
Marco Marziali ◽  
Antonella Isgrò ◽  
Pietro Sodani ◽  
Javid Gaziev ◽  
Daniela Fraboni ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells ◽  
Marrow Transplant ◽  
Mixed Chimerism ◽  
Radical Cure ◽  
Hematopoietic Stem ◽  
Hematopoietic Chimerism

Allogeneic cellular gene therapy through hematopoietic stem cell transplantation is the only radical cure for congenital hemoglobinopathies like thalassemia and sickle cell anemia. Persistent mixed hematopoietic chimerism (PMC) has been described in thalassemia and sickle cell anemia. Here, we describe the clinical course of a 6-year-old girl who had received bone marrow transplant for sickle cell anemia. After the transplant, the patient showed 36% donor hematopoietic stem cells in the bone marrow, whereas in the peripheral blood there was evidence of 80%  circulating donor red blood cells (RBC). The analysis of apoptosis at the Bone Marrow  level suggests that Fas might contribute to the cell death of host erythroid precursors. The increase in NK cells and the regulatory T cell population observed in this patient suggests that these cells might contribute to the condition of mixed chimerism.

scholarly journals Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 427 ◽  
Author(s):  
Laith Alzubaidi ◽  
Mohammed A. Fadhel ◽  
Omran Al-Shamma ◽  
Jinglan Zhang ◽  
Ye Duan
Keyword(s):  
Deep Learning ◽  
Red Blood Cells ◽  
Transfer Learning ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells ◽  
Learning Models ◽  
Sickle Cells ◽  
Microscopy Images

Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death. The key function of red blood cells (erythrocytes) is to supply all the parts of the human body with oxygen. Red blood cells (RBCs) form a crescent or sickle shape when sickle cell anemia affects them. This abnormal shape makes it difficult for sickle cells to move through the bloodstream, hence decreasing the oxygen flow. The precise classification of RBCs is the first step toward accurate diagnosis, which aids in evaluating the danger level of sickle cell anemia. The manual classification methods of erythrocytes require immense time, and it is possible that errors may be made throughout the classification stage. Traditional computer-aided techniques, which have been employed for erythrocyte classification, are based on handcrafted features techniques, and their performance relies on the selected features. They also are very sensitive to different sizes, colors, and complex shapes. However, microscopy images of erythrocytes are very complex in shape with different sizes. To this end, this research proposes lightweight deep learning models that classify the erythrocytes into three classes: circular (normal), elongated (sickle cells), and other blood content. These models are different in the number of layers and learnable filters. The available datasets of red blood cells with sickle cell disease are very small for training deep learning models. Therefore, addressing the lack of training data is the main aim of this paper. To tackle this issue and optimize the performance, the transfer learning technique is utilized. Transfer learning does not significantly affect performance on medical image tasks when the source domain is completely different from the target domain. In some cases, it can degrade the performance. Hence, we have applied the same domain transfer learning, unlike other methods that used the ImageNet dataset for transfer learning. To minimize the overfitting effect, we have utilized several data augmentation techniques. Our model obtained state-of-the-art performance and outperformed the latest methods by achieving an accuracy of 99.54% with our model and 99.98% with our model plus a multiclass SVM classifier on the erythrocytesIDB dataset and 98.87% on the collected dataset.

scholarly journals Nocturnal enuresis and K+ transport in red blood cells from patients with sickle cell anemia

Haematologica ◽  
2016 ◽  
Vol 101 (12) ◽  
pp. e469-e472 ◽  
Author(s):  
S. Tewari ◽  
D. C. Rees ◽  
A. Hannemann ◽  
O. T. Gbotosho ◽  
H. W. M. Al Balushi ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells ◽  
Nocturnal Enuresis ◽  
K Transport

scholarly journals Biomechanics and biorheology of red blood cells in sickle cell anemia

2017 ◽  
Vol 50 ◽  
pp. 34-41 ◽  
Author(s):  
Xuejin Li ◽  
Ming Dao ◽  
George Lykotrafitis ◽  
George Em Karniadakis
Keyword(s):  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells

scholarly journals Hydroxyurea-Induced Expression of Glutathione Peroxidase 1 in Red Blood Cells of Individuals with Sickle Cell Anemia

2010 ◽  
Vol 13 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Chun-Seok Cho ◽  
Gregory J. Kato ◽  
Seung Ha Yang ◽  
Sung Won Bae ◽  
Jong Seo Lee ◽  
...  
Keyword(s):  
Glutathione Peroxidase ◽  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells ◽  
Induced Expression ◽  
Glutathione Peroxidase 1

scholarly journals Ascorbate levels in red blood cells and urine in patients with sickle cell anemia

2000 ◽  
Vol 65 (2) ◽  
pp. 174-175 ◽  
Author(s):  
Maxwell P. Westerman ◽  
Yin Zhang ◽  
Joseph P. McConnell ◽  
Paul A. Chezick ◽  
Rakshanda Neelam ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells

Short survival of phosphatidylserine-exposing red blood cells in murine sickle cell anemia

Blood ◽  
2001 ◽  
Vol 98 (5) ◽  
pp. 1577-1584 ◽  
Author(s):  
Kitty de Jong ◽  
Renee K. Emerson ◽  
James Butler ◽  
Jacob Bastacky ◽  
Narla Mohandas ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Blood Cells ◽  
Cell Model ◽  
Red Cell ◽  
Sickle Cells ◽  
Red Cell Survival ◽  
Transgenic Murine Models

Several transgenic murine models for sickle cell anemia have been developed that closely reproduce the biochemical and physiological disorders in the human disease. A comprehensive characterization is described of hematologic parameters of mature red blood cells, reticulocytes, and red cell precursors in the bone marrow and spleen of a murine sickle cell model in which erythroid cells expressed exclusively human α, γ, and βS globin. Red cell survival was dramatically decreased in these anemic animals, partially compensated by considerable enhancement in erythropoietic activity. As in humans, these murine sickle cells contain a subpopulation of phosphatidylserine-exposing cells that may play a role in their premature removal. Continuous in vivo generation of this phosphatidylserine-exposing subset may have a significant impact on the pathophysiology of sickle cell disease.

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