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Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood
by
Suttorp, Meinolf
, Grzybek, Michal
, Herbig, Maik
, Guck, Jochen
, Mellroth, Peter
, Bornhäuser, Martin
, Garriss, Geneviève
, Henriques-Normark, Birgitta
, Rosendahl, Philipp
, Jacobi, Angela
, Toepfner, Nicole
, Ciuffreda, Laura
, Ranford-Cartwright, Lisa
, Chilvers, Edwin R
, Menschner, Leonhard
, Reithuber, Elisabeth
, Herold, Christoph
, Otto, Oliver
, Kräter, Martin
, Tregay, Nicola
, Stächele, Julia
, Coskun, Ünal
, Berner, Reinhard
in
Algorithms
/ Analysis
/ Bacteria
/ Blood & organ donations
/ Blood cells
/ Blood Cells - cytology
/ Blood Cells - physiology
/ Blood tests
/ cell mechanics
/ Complete blood count
/ Criminal investigation
/ Cytological Techniques - methods
/ Diagnosis
/ Diagnostic Tests, Routine - methods
/ Diseases
/ Health
/ Health aspects
/ Human Biology and Medicine
/ Humans
/ Infections
/ Labels
/ Leukemia
/ Malaria
/ Measurement techniques
/ Medical research
/ Medical tests
/ Microfluidics
/ Morphology
/ Nausea
/ neutrophil activation
/ Phenotyping
/ Physical properties
/ Physicians
/ Random variables
/ real-time deformability cytometry
/ Rheology
/ Single-Cell Analysis - methods
/ spherocytosis
/ Structural Biology and Molecular Biophysics
/ Time
/ Tools and Resources
/ White blood cell count
2018
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Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood
by
Suttorp, Meinolf
, Grzybek, Michal
, Herbig, Maik
, Guck, Jochen
, Mellroth, Peter
, Bornhäuser, Martin
, Garriss, Geneviève
, Henriques-Normark, Birgitta
, Rosendahl, Philipp
, Jacobi, Angela
, Toepfner, Nicole
, Ciuffreda, Laura
, Ranford-Cartwright, Lisa
, Chilvers, Edwin R
, Menschner, Leonhard
, Reithuber, Elisabeth
, Herold, Christoph
, Otto, Oliver
, Kräter, Martin
, Tregay, Nicola
, Stächele, Julia
, Coskun, Ünal
, Berner, Reinhard
in
Algorithms
/ Analysis
/ Bacteria
/ Blood & organ donations
/ Blood cells
/ Blood Cells - cytology
/ Blood Cells - physiology
/ Blood tests
/ cell mechanics
/ Complete blood count
/ Criminal investigation
/ Cytological Techniques - methods
/ Diagnosis
/ Diagnostic Tests, Routine - methods
/ Diseases
/ Health
/ Health aspects
/ Human Biology and Medicine
/ Humans
/ Infections
/ Labels
/ Leukemia
/ Malaria
/ Measurement techniques
/ Medical research
/ Medical tests
/ Microfluidics
/ Morphology
/ Nausea
/ neutrophil activation
/ Phenotyping
/ Physical properties
/ Physicians
/ Random variables
/ real-time deformability cytometry
/ Rheology
/ Single-Cell Analysis - methods
/ spherocytosis
/ Structural Biology and Molecular Biophysics
/ Time
/ Tools and Resources
/ White blood cell count
2018
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Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood
by
Suttorp, Meinolf
, Grzybek, Michal
, Herbig, Maik
, Guck, Jochen
, Mellroth, Peter
, Bornhäuser, Martin
, Garriss, Geneviève
, Henriques-Normark, Birgitta
, Rosendahl, Philipp
, Jacobi, Angela
, Toepfner, Nicole
, Ciuffreda, Laura
, Ranford-Cartwright, Lisa
, Chilvers, Edwin R
, Menschner, Leonhard
, Reithuber, Elisabeth
, Herold, Christoph
, Otto, Oliver
, Kräter, Martin
, Tregay, Nicola
, Stächele, Julia
, Coskun, Ünal
, Berner, Reinhard
in
Algorithms
/ Analysis
/ Bacteria
/ Blood & organ donations
/ Blood cells
/ Blood Cells - cytology
/ Blood Cells - physiology
/ Blood tests
/ cell mechanics
/ Complete blood count
/ Criminal investigation
/ Cytological Techniques - methods
/ Diagnosis
/ Diagnostic Tests, Routine - methods
/ Diseases
/ Health
/ Health aspects
/ Human Biology and Medicine
/ Humans
/ Infections
/ Labels
/ Leukemia
/ Malaria
/ Measurement techniques
/ Medical research
/ Medical tests
/ Microfluidics
/ Morphology
/ Nausea
/ neutrophil activation
/ Phenotyping
/ Physical properties
/ Physicians
/ Random variables
/ real-time deformability cytometry
/ Rheology
/ Single-Cell Analysis - methods
/ spherocytosis
/ Structural Biology and Molecular Biophysics
/ Time
/ Tools and Resources
/ White blood cell count
2018
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Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood
Journal Article
Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood
2018
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Overview
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 diluted whole blood, without labeling, enrichment or separation, at rates of 1000 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 blood and adds a functional dimension to conventional blood analysis.
When you are sick and go to the doctor, it is often not obvious what exactly is wrong — what is causing fever, nausea, shortness of breath or other symptoms. It is important to find this out quickly so that the right action can be taken. One of the first steps is to obtain a blood sample and to count how many of the different blood cells are present in it. This is called a complete blood count, and the information it provides has turned out to be surprisingly useful. A large number of certain white blood cells, for example, can show that the body is fighting an infection. But there might be several reasons why the number of white blood cells has increased, so this information alone is often not enough for a specific diagnosis.
There are many hundreds of possible tests that can supplement the results of a complete blood count. These might identify bacteria or measure the concentrations of certain molecules in the blood, for example. But which test will give the important clue that reveals the source of the illness? This can be difficult to predict. Although each test helps to narrow down the final diagnosis they become increasingly expensive and time-consuming to perform, and rapid action is often important when treating a disease.
Can we get more decisive information from the initial blood test by measuring other properties of the blood cells? Toepfner et al. now show that this is possible using a technique called real-time deformability cytometry. This method forces the blood cells in a small drop of blood to flow extremely rapidly through a narrow microfluidic channel while they are imaged by a fast camera. A computer algorithm can then analyze the size and stiffness of the blood cells in real-time. Toepfner et al. show that this approach can detect characteristic changes that affect blood cells as a result of malaria, spherocytosis, bacterial and viral infections, and leukemia. Furthermore, many thousands of blood cells can be measured in a few minutes — fast enough to be suitable as a diagnostic test.
These proof-of-concept findings can now be used to develop actual diagnostic tests for a wide range of blood-related diseases. The approach could also be used to test which of several drugs is working to treat a certain medical condition, and to monitor whether the treatment is progressing as planned.
Publisher
eLife Science Publications, Ltd,eLife Sciences Publications Ltd,eLife Sciences Publications, Ltd
Subject
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