Label‐Free Leukocyte Biophysical Profiling Using Impedance‐Deformability Cytometry for Rapid Cardiovascular Risk Stratification

Type 2 diabetes mellitus (T2DM) presents a global health burden with cardiovascular disease (CVD) as its leading cause of mortality. A rapid clinical-adaptable microfluidic workflow for label-free CVD risk profiling based on neutrophil biophysical abnormalities is developed. This high-throughput single cell (>1,000 cells min<sup>-1</sup>) "electro-mechano-phenotyping" method integrates Uniform Manifold Approximation and Projection analysis to assess leukocyte biophysical changes (size, deformability, and impedance properties) linked to inflammation, thrombosis, and hyperglycemia in vitro, and in diabetic and diabetic atherosclerosis-prone mouse models. In a clinical study of healthy, pre-diabetes, diabetes, and diabetic patients with CVD (DM-CVD) subjects (n = 10-11 per group), DM-CVD neutrophils exhibited a distinct impedance signature and pro-inflammatory transcriptomic profile marked by cytoskeletal dysregulation and altered RhoA signaling. Principal component analysis (area under the curve = 0.971) identifies individuals with vascular dysfunction exhibiting increased carotid intima-media thickness and reduced reactive hyperemia index. These findings support impedance-based neutrophil profiling as a promising, cost-effective strategy for cardiovascular risk stratification in T2DM.

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Publication Details

Journal
Advanced Science
Published
2025-11-28
DOI
https://doi.org/10.1002/advs.202516021
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Label‐Free Leukocyte Biophysical Profiling Using Impedance‐Deformability Cytometry for Rapid Cardiovascular Risk Stratification

King Ho Holden Li, Liang De Wang, Feng Chen, Aram J. Chung et al.
Advanced Science
Microfluidic and Bio-sensing Technologies
article

Label‐Free Leukocyte Biophysical Profiling Using Impedance‐Deformability Cytometry for Rapid Cardiovascular Risk Stratification

King Ho Holden Li, Liang De Wang, Feng Chen, Aram J. Chung, Rinkoo Dalan, Lingyan Gong, Han Wei Hou, Nguan Soon Tan, Linwei He, Hui Min Tay, Hong Sheng Cheng, Qiqi Nam, Arunachalam Thannirmalai
article en

Abstract

Type 2 diabetes mellitus (T2DM) presents a global health burden with cardiovascular disease (CVD) as its leading cause of mortality. A rapid clinical-adaptable microfluidic workflow for label-free CVD risk profiling based on neutrophil biophysical abnormalities is developed. This high-throughput single cell (>1,000 cells min<sup>-1</sup>) "electro-mechano-phenotyping" method integrates Uniform Manifold Approximation and Projection analysis to assess leukocyte biophysical changes (size, deformability, and impedance properties) linked to inflammation, thrombosis, and hyperglycemia in vitro, and in diabetic and diabetic atherosclerosis-prone mouse models. In a clinical study of healthy, pre-diabetes, diabetes, and diabetic patients with CVD (DM-CVD) subjects (n = 10-11 per group), DM-CVD neutrophils exhibited a distinct impedance signature and pro-inflammatory transcriptomic profile marked by cytoskeletal dysregulation and altered RhoA signaling. Principal component analysis (area under the curve = 0.971) identifies individuals with vascular dysfunction exhibiting increased carotid intima-media thickness and reduced reactive hyperemia index. These findings support impedance-based neutrophil profiling as a promising, cost-effective strategy for cardiovascular risk stratification in T2DM.

Advanced ScienceVol. 13(9)
Nanyang Technological University (SG), Korea University (KR), Tan Tock Seng Hospital (SG), Korea University (JP)
National Research Foundation, Ministry of Education, India, Lee Kong Chian School of Medicine, Nanyang Technological University
Openalex Percentile: Top 64%
Microfluidic and Bio-sensing Technologies
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