期刊
JOURNAL OF BIOMEDICAL NANOTECHNOLOGY
卷 18, 期 2, 页码 405-421出版社
AMER SCIENTIFIC PUBLISHERS
DOI: 10.1166/jbn.2022.3267
关键词
Biomechanics; Hemolytic Anemias; RBC; AFM
资金
- CNPq [PQ/CNPq/310378/2018-4]
- CAPES
- UFMA
- Digital Surf
- HEMOMAR
This study investigates the biophysical and ultrastructural early erythrocyte membrane alterations in patients with sickle cell disease and thalassemia using Atomic Force Microscopy. Significant differences in cell rigidity, adhesion, volume, and roughness were observed, providing new perspectives for understanding the pathogenesis of these diseases.
Several diseases are characterized by changes in the mechanical properties of erythrocytes. Hemolytic anemias are an example of these diseases. Among the hemolytic anemias, Sickle Cell Disease and Thalassemia are the most common, characterized by alterations in the structure of their hemoglobin. Sickle cell disease has a pathological origin in synthesizing abnormal hemoglobin, HbS. In contrast, thalassemia results in extinction or decreased synthesis of alpha and beta hemoglobin chains. This work presents a detailed study of biophysical and ultrastructural early erythrocytes membrane alterations at the nanoscale using Atomic Force Microscopy (AFM). Cells from individuals with sickle cell anemia and thalassemia mutations were studied. The analysis methodology in the AFM was given by blood smear and exposure of the inner membrane for ghost analysis. A robust statistic was used with 65,536 force curves for each map, ten cells of each type, with three individuals for each sample group. The results showed significant differences in cell rigidity, adhesion, volume, and roughness at early morphological alterations, bringing new perspectives for understanding pathogenesis. The sickle cell trait (HbAS) results stand out. Significant alterations were observed in the membrane properties, bringing new perspectives for the knowledge of this mutation. This work presents ultrastructural and biomechanical signatures of sickle cell anemia and thalassemia genotypes, which may help determine a more accurate biophysical description and clinical prognosis for these diseases.
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