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. 2024 Mar 12;121(11):e2318762121.
doi: 10.1073/pnas.2318762121. Epub 2024 Mar 4.

Translatable tool to quantitatively assess the quality of red blood cell units and tailored cultured red blood cells for transfusion

Lars Kaestner  1   2 , Peter Schlenke  3 , Marieke von Lindern  4   5 , Wassim El Nemer  6
Affiliations

Translatable tool to quantitatively assess the quality of red blood cell units and tailored cultured red blood cells for transfusion

Lars Kaestner et al. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

Competing interests statement:L.K. is a shareholder of Cysmic GmbH. The other authors declare the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Fig. 1.
Fig. 1.
Erysense device, principle of measurement, and AI–based analysis of single-cell microfluidic flow behavior of stored RBCs. (A) Image of the Erysense device. A micro-structured chip without the need to connect any tubes (i.e., no cleaning requirements, no risk for contamination) requires very small volumes of packed RBCs (1 µL). It is an all-integrated “point-of-care” device with a footprint of an Espresso machine. (B) Representative images of healthy croissant-shaped (Top Left) and slipper-shaped RBCs (Top Right) at low (1 mm/s) and high (10 mm/s) velocities, respectively. Representative images of pathological RBC shapes during capillary flow (Lower images). Flow is from Left to Right in all images. (C) AI-based evaluation of donor-dependent (donors 1 to 6) changes in the RBC microcapillary flow behavior. Dashed black lines correspond to linear fits. Gray areas indicate an estimate of a 95% prediction interval. The y-axis shows the logarithm of the fraction of pathological RBC shapes based on the shape phase diagrams. Panels A and B are reproduced with permission from Recktenwald et al. 2022 (4) and panel C with permission from Lopes et al. 2023 (6).
See this image and copyright information in PMC

References

    1. Isiksacan Z., et al. , Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine. Proc. Natl. Acad. Sci. U.S.A. 120, e2115616120 (2023). - PMC - PubMed
    1. World Health Organization, “Global status report on blood safety and availability 2021” (World Health Organisation, Geneva, Switzerland, 2022).
    1. European Commission Safety Directorate-General for Health and Food, “Proposal for a Regulation of the European Parliament and of the council on standards of quality and safety for substances of human origin intended for human application and repealing directives 2002/98/EC and 2004/23/EC” (Document 52022PC0338, European Commission, Brussels, Belgium, 2022).
    1. Recktenwald S. M., et al. , Erysense, a lab-on-a-chip-based point-of-care device to evaluate red blood cell flow properties with multiple clinical applications. Front. Physiol. 13, 884690 (2022). - PMC - PubMed
    1. Kihm A., Kaestner L., Wagner C., Quint S., Classification of red blood cell shapes in flow using outlier tolerant machine learning. PLoS Comput. Biol. 14, e1006278 (2018). - PMC - PubMed

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