Literature DB >> 32458864

Label-free on chip quality assessment of cellular blood products using real-time deformability cytometry.

Konstanze Aurich1, Bob Fregin, Raghavendra Palankar, Jan Wesche, Oliver Hartwich, Doreen Biedenweg, Thi-Huong Nguyen, Andreas Greinacher, Oliver Otto.   

Abstract

Without cellular blood products such as platelet concentrates (PC), red blood cell concentrates (RCC), and hematopoietic stem cells (HPSC) modern treatments in medicine would not be possible. An unresolved challenge is the assessment of their quality with minimal cell manipulation. Minor changes in production, storage conditions, or blood bag composition may impact cell function, which can have important consequences on product integrity. This is especially relevant for personalized medicine, such as autologous T-cell therapy. Today a robust methodology that globally determines cell status directly before transfusion or transplantation is lacking. We demonstrate that measuring viscoelastic characteristics of peripheral blood cells using real-time deformability cytometry (RT-DC) provides comprehensive information on product quality, which is not accessible using conventional quality control tests. In addition, RT-DC requires few cells, a minimal sample volume and has a rapid turnaround time. We compared RT-DC to standard in vitro quality assays assessing: i) PC after storage at 4 °C and room temperature; ii) magnetic nanoparticle labeled platelets; iii) RCC stored in blood bags with different plasticizers; iv) RCC after gamma irradiation; and v) HPSC after cryopreservation with 5% or 10% dimethyl sulfoxide, respectively. Additionally, we evaluated the engraftment time of patients' platelets and leukocytes after transplantation of HPSC products. Our results demonstrate that label-free mechano-phenotyping can be used as a potential biomarker for quality assessment of cell-based pharmaceutical products.

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Year:  2020        PMID: 32458864     DOI: 10.1039/d0lc00258e

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  5 in total

1.  Interpretation of cell mechanical experiments in microfluidic systems depend on the choice of cellular shape descriptors.

Authors:  Bob Fregin; Doreen Biedenweg; Oliver Otto
Journal:  Biomicrofluidics       Date:  2022-04-28       Impact factor: 3.258

2.  Divalent magnesium restores cytoskeletal storage lesions in cold-stored platelet concentrates.

Authors:  Konstanze Aurich; Jan Wesche; Martin Ulbricht; Oliver Otto; Andreas Greinacher; Raghavendra Palankar
Journal:  Sci Rep       Date:  2022-04-14       Impact factor: 4.996

3.  Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia.

Authors:  Valeria Rizzuto; Arianna Mencattini; Begoña Álvarez-González; Davide Di Giuseppe; Eugenio Martinelli; David Beneitez-Pastor; Maria Del Mar Mañú-Pereira; Maria José Lopez-Martinez; Josep Samitier
Journal:  Sci Rep       Date:  2021-06-30       Impact factor: 4.379

4.  Microfluidic Assessment of Drug Effects on Physical Properties of Androgen Sensitive and Non-Sensitive Prostate Cancer Cells.

Authors:  Da Luo; Na Liu; Yang Chen; Yan Peng; Tao Yue; Shan Cao; Yuanyuan Liu
Journal:  Micromachines (Basel)       Date:  2021-05-07       Impact factor: 2.891

5.  Ex vivo anticoagulants affect human blood platelet biomechanics with implications for high-throughput functional mechanophenotyping.

Authors:  Laura Sachs; Jan Wesche; Lea Lenkeit; Andreas Greinacher; Markus Bender; Oliver Otto; Raghavendra Palankar
Journal:  Commun Biol       Date:  2022-01-21
  5 in total

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