Trends in the Development of Diagnostic Tools for Red Blood Cell-Related Diseases and Anemias

Kaestner, Lars; Bianchi, Paola

doi:10.3389/fphys.2020.00387

Cited by 19 publications

(16 citation statements)

References 31 publications

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“…At the same time, the blood of patients with rare anemias was investigated ( Clark et al, 1980 ), and as the Technicon ektacytometers were replaced by the second generation Lorrca MaxSis devices produced by RR Mechatronics, scrupulous comparison of the readouts obtained by both types of devices was performed for blood of patients with hereditary hemolytic anemia. ( Da Costa et al, 2016 ; Lazarova et al, 2017 ; Ballas et al, 2018 ; Ciepiela, 2018 ; Llaudet-Planas et al, 2018 ; Zaninoni et al, 2018 ; Kaestner and Bianchi, 2020 ; Zaidi et al, 2020 ; Zama et al, 2020 ). The number of reports on the clinical applications of the device for the assessment of the changes in rheology for human patients is steadily growing.…”

Section: Introductionmentioning

confidence: 99%

Donor Age and Red Cell Age Contribute to the Variance in Lorrca Indices in Healthy Donors for Next Generation Ektacytometry: A Pilot Study

et al. 2021

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The ability of red blood cells (RBCs) to transport gases, their lifespan as well as their rheological properties invariably depend on the deformability, hydration, and membrane stability of these cells, which can be measured by Laser optical rotational red cell analyser (Lorrca® Maxsis, RR Mechatronics). The osmoscan mode of Lorrca is currently used in diagnosis of rare anemias in clinical laboratories. However, a broad range of normal values for healthy subjects reduces the sensitivity of this method for diagnosis of mild disease phenotype. In this pilot study, we explored the impact of age and gender of 45 healthy donors, as well as RBC age on the Lorrca indices. Whereas gender did not affect the Lorrca indices in our study, the age donors had a profound effect on the O_hyper parameter. To study the impact of RBC age on the osmoscan parameters, we have isolated low (L)-, medium (M)-, or high (H)- density fractions enriched with young, mature, and senescent RBCs, respectively, and evaluated the influence of RBC age-related properties, such as density, morphology, and redox state, on the osmoscan indices. As before, O_hyper was the most sensitive parameter, dropping markedly with an increase in RBC density and age. Senescence was associated with a decrease in deformability (EI_max) and tolerability to low and high osmolatites (Area). L-fraction was enriched with reticulocytes and cells with high projected area and EMA staining, but also contained a small number of cells small in projected area and most likely, terminally senescent. L-fraction was on average slightly less deformable than mature cells. The cells from the L-fraction produced more oxidants and NO than all other fractions. However, RBCs from the L-fraction contained maximal levels of reduced thiols compared to other fractions. Our study suggests that reference values for O_hyper should be age-stratified, and, most probably, corrected for the average RBC age. Further multi-center study is required to validate these suggestions before implementing them into clinical practice.

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Section: Introductionmentioning

confidence: 99%

Donor Age and Red Cell Age Contribute to the Variance in Lorrca Indices in Healthy Donors for Next Generation Ektacytometry: A Pilot Study

et al. 2021

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“…Understanding the spectrum of RBC shape deviations in 3D in blood diseases will allow to test unsupervised clustering methods to distinguish different mutations. While genetic analysis is the gold standard for detection, cell imaging can be of additional interest in the investigation of the severity and state of a disease [34]. Moreover, it can be applied for personalized theragnostics when the effectiveness of a mutations in the band 3 protein, as is P8, who also has a double mutation in spectrin alpha (see Table A in S1 Text), although this latter mutation is not known to be pathogenic.…”

Section: Discussionmentioning

confidence: 99%

Red blood cell phenotyping from 3D confocal images using artificial neural networks

et al. 2021

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The investigation of cell shapes mostly relies on the manual classification of 2D images, causing a subjective and time consuming evaluation based on a portion of the cell surface. We present a dual-stage neural network architecture for analyzing fine shape details from confocal microscopy recordings in 3D. The system, tested on red blood cells, uses training data from both healthy donors and patients with a congenital blood disease, namely hereditary spherocytosis. Characteristic shape features are revealed from the spherical harmonics spectrum of each cell and are automatically processed to create a reproducible and unbiased shape recognition and classification. The results show the relation between the particular genetic mutation causing the disease and the shape profile. With the obtained 3D phenotypes, we suggest our method for diagnostics and theragnostics of blood diseases. Besides the application employed in this study, our algorithms can be easily adapted for the 3D shape phenotyping of other cell types and extend their use to other applications, such as industrial automated 3D quality control.

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“…This is the case for sickle cell disease, hereditary spherocytosis, and Gardos channelopathy, just to name a few examples. Some patients get scientists involved into a thrilling quest for the actual cause of disease, those that were identified by hematologists as carriers of “idiopathic hemolytic anemia.” New tools are currently in development that will enable the diagnosis of “newly identified” diseases ( Kaestner and Bianchi, 2020 ).…”

Section: With Inspiration and In Memory Of Douglas Adams And His Ultimentioning

confidence: 99%

Early Career Scientists’ Guide to the Red Blood Cell – Don’t Panic!

Bogdanova

Kaestner

2020

Front. Physiol.

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Trends in the Development of Diagnostic Tools for Red Blood Cell-Related Diseases and Anemias

Abstract: Trends in the Development of Diagnostic Tools for Red Blood Cell-Related Diseases and Anemias.

Cited by 19 publications

References 31 publications

Donor Age and Red Cell Age Contribute to the Variance in Lorrca Indices in Healthy Donors for Next Generation Ektacytometry: A Pilot Study

Donor Age and Red Cell Age Contribute to the Variance in Lorrca Indices in Healthy Donors for Next Generation Ektacytometry: A Pilot Study

Red blood cell phenotyping from 3D confocal images using artificial neural networks

Early Career Scientists’ Guide to the Red Blood Cell – Don’t Panic!

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