Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/136946
Title: Label-free leukocyte sorting and impedance-based profiling for diabetes testing
Authors: Petchakup, Chayakorn
Tay, Hui Min
Yeap, Wei Hseun
Dalan, Rinkoo
Wong, Siew Cheng
Li, Holden King Ho
Hou, Han Wei
Keywords: Engineering::Mechanical engineering
Issue Date: 2018
Source: Petchakup, C., Tay, H. M., Yeap, W. H., Dalan, R., Wong, S. C., Li., H. K. H., & Hou, H. W. (2018). Label-free leukocyte sorting and impedance-based profiling for diabetes testing. Biosensors and Bioelectronics, 118, 195-203. doi:10.1016/j.bios.2018.07.052
Journal: Biosensors & bioelectronics
Abstract: Circulating leukocytes comprise of approximately 1% of all blood cells and efficient enrichment of these cells from whole blood is critical for understanding cellular heterogeneity and biological significance in health and diseases. In this work, we report a novel microfluidic strategy for rapid (< 1 h) label-free leukocyte sorting and impedance-based profiling to determine cell activation in type 2 diabetes mellitus (T2DM) using whole blood. Leukocytes were first size-fractionated into different subtypes (neutrophils, monocytes, lymphocytes) using an inertial spiral sorter prior to single-cell impedance measurement in a microfluidic device with coplanar electrode design. Significant changes in membrane dielectric properties (size and opacity) were detected between healthy and activated leukocytes (TNF-α/LPS stimulated), during monocyte differentiation and among different monocyte subsets (classical, intermediate, non-classical). As proof-of-concept for diabetes testing, neutrophil/monocyte dielectric properties in T2DM subjects (n = 8) were quantified which were associated with cardiovascular risk factors including lipid levels, C-reactive protein (CRP) and vascular functions (LnRHI) (P < 0.05) were observed. Overall, these results clearly showed that T2DM subjects have pro-inflammatory leukocyte phenotypes and suggest leukocyte impedance signature as a novel surrogate biomarker for inflammation.
URI: https://hdl.handle.net/10356/136946
ISSN: 0956-5663
DOI: 10.1016/j.bios.2018.07.052
Rights: © 2018 Elsevier B.V. All rights reserved. This paper was published in Biosensors & bioelectronics and is made available with permission of Elsevier B.V.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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