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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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