4.7 Article

A microfluidic-informatics assay for quantitative physical occlusion measurement in sickle cell disease

Journal

LAB ON A CHIP
Volume 22, Issue 6, Pages 1126-1136

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d2lc00043a

Keywords

-

Funding

  1. Yale University
  2. Yale University Frederic Ewing Fellowship

Ask authors/readers for more resources

Sickle cell disease is a genetic condition that can cause life-threatening symptoms due to vaso-occlusive crisis. We designed a microfluidic-informatics analytical system to quantify the occlusion of sickle cell disease, and found an increase in physical occlusion events in the most severe patients. By using bioinformatics and modeling, we were able to assess the severity of the disease in vitro for individual patients. We also demonstrated the potential impact of hydration on reducing disease severity in high-risk patients. Overall, our device provides an easy-to-use assay for quick occlusion information extraction and shows promise as a platform for testing therapeutic strategies.
Sickle cell disease (SCD) is a genetic condition that causes abnormalities in hemoglobin mechanics. Those affected are at high risk of vaso-occlusive crisis (VOC), which can induce life-threatening symptoms. The development of measurements related to vaso-occlusion facilitates the diagnosis of the patient's disease state. To complement existing readouts, we design a microfluidic-informatics analytical system with varied confined geometries for the quantification of sickle cell disease occlusion. We detect an increase in physical occlusion events in the most severe hemoglobin SS group. We use bioinformatics and modeling to quantify the in vitro disease severity score (DSS) of individual patients. We also show the potential effect of hydration, clinically recommended for crisis management, on reducing the disease severity of high-risk patients. Overall, we demonstrate the device as an easy-to-use assay for quick occlusion information extraction with a simple setup and minimal additional instruments. We show the device can provide physical readouts distinct from clinical data. We also show the device sensitivity in separate samples from patients with different disease severity. Finally, we demonstrate the system as a potential platform for testing the effectiveness of therapeutic strategies (e.g. hydration) on reducing sickle cell disease severity.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available