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Data · collection · 2022

Changes in blood cell deformability in Chorea-Acanthocytosis and effects of treatment with dasatinib or lithium

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This collection contains results supporting findings presented in the following manuscript: Reichel et al., 2022, Frontiers in Physiology Changes in blood cell deformability in Chorea-Acanthocytosis and effects of treatment with dasatinib or lithium frontiersin.org/articles/10.3389/fphys.2022.852946

Abstract

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Misshaped red blood cells (RBCs), characterized by thorn-like protrusions known as acanthocytes, are a key diagnostic feature in Chorea-Acanthocytosis (ChAc), a rare neurodegenerative disorder. The altered RBC morphology likely influences their biomechanical properties which are crucial for the cells to pass the microvasculature. Here, we investigated blood cell deformability of 5 ChAc patients compared to healthy controls during up to one-year individual off-label treatment with the tyrosine kinases inhibitor dasatinib or several weeks with lithium.

Measurements with two microfluidic techniques allowed us to assess RBC deformability under different shear stresses. Furthermore, we characterized leukocyte stiffness at high shear stresses. The results show that blood cell deformability – including both RBCs and leukocytes - in general is altered in ChAc patients compared to healthy donors.

Therefore, this study shows for the first time an impairment of leukocyte properties in ChAc. During treatment with dasatinib or lithium, we observe alterations in RBC deformability and a stiffness increase for leukocytes. The hematological phenotype of ChAc patients hints at a reorganization of the cytoskeleton in blood cells which partly explains the altered mechanical properties observed here.

These findings highlight the need for a systematic assessment of the contribution of impaired blood cell mechanics to the clinical manifestation of ChAc. Analysis files and creation of figure plots are documented here. Datasets for raw data from shape analysis experiments: Datasets for these experiments were compressed into several 20GB archives sorted for each patient.

To unpack the data, you need to download the dataset for every patient. The raw data can be analyzed with the scripts `Cell_tracking_new.py` to get the individual cell tracks and the shape selection was done with the script `shape_selector_Ac.py` that are found in the folder of every experiment. Patient 1: ChAc shape_analysis_P1.zip.001 - .006 Patient 2: ChAc shape_analysis_P2.zip.001 - .006 Patient 3: ChAc shape_analysis_P3.zip.001 - .005 Patient 4: ChAc shape_analysis_P4.zip.001 + .002 Patient 5: ChAc shape_analysis_P5.zip.001 + .002 RT-fDC on red blood cells Datasets for experiment raw dat for all patients:10.6084/m9.figshare.18622520 + 10.6084/m9.figshare.18624518 RT-fDC on white blood cells: 10.6084/m9.figshare.18598397

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