Label‐Free Leukocyte Biophysical Profiling Using Impedance‐Deformability Cytometry for Rapid Cardiovascular Risk Stratification
Year: 2025
Type: article
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 −1 ) “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.
Source: Advanced Science
Authors: Linwei He, Hui Min Tay, Feng Chen, Hong Sheng Cheng, Liang De Wang, Qiqi Nam, Arunachalam Thannirmalai, Lingyan Gong, Aram J. Chung, Nguan Soon Tan, King Ho Holden Li, Rinkoo Dalan, Siu Ling Wong, Han Wei Hou
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,730
OpenAlex ID: W4416801138
