Evidence map›Paper›PMID 27014397›Full record

ArticleBiomicrofluidics2016

The mechanical properties of stored red blood cells measured by a convenient microfluidic approach combining with mathematic model.

Ying Wang, Guoxing You, Peipei Chen, Jianjun Li, Gan Chen, Bo Wang, Penglong Li, Dong Han, Hong Zhou, Lian Zhao

Abstract read
In one paragraph

Article in Biomicrofluidics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Big Data in Transfusion Medicine and Artificial Intelligence Analysis for Red Blood Cell Quality Control.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Review
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ying WangInstitute of Transfusion Medicine, Academy of Military Medical Sciences , No. 27 Taiping Road, HaiDian, Beijing 100850, China.
Guoxing YouInstitute of Transfusion Medicine, Academy of Military Medical Sciences , No. 27 Taiping Road, HaiDian, Beijing 100850, China.
Peipei ChenNational Center for Nanoscience and Technology, No. 11, Beiyitiao, Zhongguancun, Beijing 100190, China.
Jianjun LiNational Center for Nanoscience and Technology, No. 11, Beiyitiao, Zhongguancun, Beijing 100190, China.
Gan ChenInstitute of Transfusion Medicine, Academy of Military Medical Sciences , No. 27 Taiping Road, HaiDian, Beijing 100850, China.
Bo WangInstitute of Transfusion Medicine, Academy of Military Medical Sciences , No. 27 Taiping Road, HaiDian, Beijing 100850, China.
Penglong LiInstitute of Transfusion Medicine, Academy of Military Medical Sciences , No. 27 Taiping Road, HaiDian, Beijing 100850, China.
Dong HanNational Center for Nanoscience and Technology, No. 11, Beiyitiao, Zhongguancun, Beijing 100190, China.
Hong ZhouInstitute of Transfusion Medicine, Academy of Military Medical Sciences , No. 27 Taiping Road, HaiDian, Beijing 100850, China.
Lian ZhaoInstitute of Transfusion Medicine, Academy of Military Medical Sciences , No. 27 Taiping Road, HaiDian, Beijing 100850, China.

Funding

Novel Therapies in Alcoholic Hepatitis - UMMS Admin CoreU01AA021902 · NIAAA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SZABO, GYONGYI · 2012 to 2017
$245k
NIAAA NIH HHS U01 AA021902
6 · The paper itself

Abstract

The mechanical properties of red blood cells (RBCs) are critical to the rheological and hemodynamic behavior of blood. Although measurements of the mechanical properties of RBCs have been studied for many years, the existing methods, such as ektacytometry, micropipette aspiration, and microfluidic approaches, still have limitations. Mechanical changes to RBCs during storage play an important role in transfusions, and so need to be evaluated pre-transfusion, which demands a convenient and rapid detection method. We present a microfluidic approach that focuses on the mechanical properties of single cell under physiological shear flow and does not require any high-end equipment, like a high-speed camera. Using this method, the images of stretched RBCs under physical shear can be obtained. The subsequent analysis, combined with mathematic models, gives the deformability distribution, the morphology distribution, the normalized curvature, and the Young's modulus (E) of the stored RBCs. The deformability index and the morphology distribution show that the deformability of RBCs decreases significantly with storage time. The normalized curvature, which is defined as the curvature of the cell tail during stretching in flow, suggests that the surface charge of the stored RBCs decreases significantly. According to the mathematic model, which derives from the relation between shear stress and the adherent cells' extension ratio, the Young's moduli of the stored RBCs are also calculated and show significant increase with storage. Therefore, the present method is capable of representing the mechanical properties and can distinguish the mechanical changes of the RBCs during storage. The advantages of this method are the small sample needed, high-throughput, and easy-use, which make it promising for the quality monitoring of RBCs.

Identifiers

PMID27014397
PMCPMC4788599

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.