Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

The relevance of red blood cell deformability in the pathophysiology of blood disorders.

Authors: Huang, Sha, Ph. D. Massachusetts Institute of Technology;

The relevance of red blood cell deformability in the pathophysiology of blood disorders.

Abstract

Red blood cells (RBCs) play a crucial role in delivering oxygen to the body tissues. During the 120 days of their lifespan, average RBCs would circulate for approximately 500,000 times and undergo repeated deformations in small blood capillaries and splenic cords. Increased RBC clearance in the spleen is considered as one of the direct consequences of reduced RBC deformability. On the other hand, deformability is also indirectly impacting on RBC functionality through its complex connections with underlying molecular mechanisms. With the aid of microfabrication and microfluidic, we are able to perform high-throughput single cell deformability measurement. Overall, we established RBC deformability as an important biomarker for several blood related real world problems such as malaria and blood storage lesion. The ultimate goal is through our quantitative assessment of population-wide single cell deformability, we could aid in the decision-making of various clinical scenarios including drug screening and blood transfusion. Malaria is the most deadly parasitic disease affecting hundred millions of people worldwide. Infected RBCs are found to be less deformable and therefore more susceptible to splenic RBC clearance. In this thesis, we identified several clinically used anti-malarial drugs that are capable of altering RBC deformability and ultimately modifying RBC retention in spleen. We also employed a rodent malarial model, confirming the important connection of RBC deformability with splenic RBC retention and consequently malarial anemia in vivo. Blood storage lesion is another important application of our work. Taking the advantage of device high-throughput, we profiled hundreds of single RBC deformability from a large population and identified subpopulations that are less deformable. These subpopulations also exhibited higher osmotic fragility and were therefore predicted to pose higher transfusion risk according clinical standard. Furthermore, a deformability based sorting device was also developed to filter the less deformable blood subpopulations, improving overall blood quality.

Country
United States
Related Organizations
Keywords

Electrical Engineering and Computer Science, Electrical Engineering and Computer Science.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!