Detection of human disease conditions by single-cell morpho-rheological phenotyping of whole blood

Abstract Blood is arguably the most important bodily fluid and its analysis provides crucial health status information. A first routine measure to narrow down diagnosis in clinical practice is the differential blood count, determining the frequency of all major blood cells. What is lacking to advance initial blood diagnostics is an unbiased and quick functional assessment of blood that can narrow down the diagnosis and generate specific hypotheses. To address this need, we introduce the continuous, cell-by-cell morpho-rheological (MORE) analysis of whole blood, without labeling, enrichment or separation, at rates of 1,000 cells/sec. In a drop of blood we can identify all major blood cells and characterize their pathological changes in several disease conditions in vitro and in patient samples. This approach takes previous results of mechanical studies on specifically isolated blood cells to the level of application directly in whole blood and adds a functional dimension to conventional blood analysis..

Medienart:

Preprint

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

bioRxiv.org - (2020) vom: 18. Jan. Zur Gesamtaufnahme - year:2020

Sprache:

Englisch

Beteiligte Personen:

Toepfner, Nicole [VerfasserIn]
Herold, Christoph [VerfasserIn]
Otto, Oliver [VerfasserIn]
Rosendahl, Philipp [VerfasserIn]
Jacobi, Angela [VerfasserIn]
Kräter, Martin [VerfasserIn]
Stächele, Julia [VerfasserIn]
Menschner, Leonhard [VerfasserIn]
Herbig, Maik [VerfasserIn]
Ciuffreda, Laura [VerfasserIn]
Ranford-Cartwright, Lisa [VerfasserIn]
Grzybek, Michal [VerfasserIn]
Coskun, Ünal [VerfasserIn]
Reithuber, Elisabeth [VerfasserIn]
Garriss, Geneviève [VerfasserIn]
Mellroth, Peter [VerfasserIn]
Henriques-Normark, Birgitta [VerfasserIn]
Tregay, Nicola [VerfasserIn]
Suttorp, Meinolf [VerfasserIn]
Bornhäuser, Martin [VerfasserIn]
Chilvers, Edwin R. [VerfasserIn]
Berner, Reinhard [VerfasserIn]
Guck, Jochen [VerfasserIn]

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doi:

10.1101/145078

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI000138568