Electrical Fingerprinting of Early Prothrombotic Shifts in Cardiovascular–Kidney–Metabolic Syndrome
Description: Cardiovascular–kidney–metabolic syndrome (CKMS) is associated with a markedly elevated risk of thrombosis, yet early prothrombotic changes often go undetected by conventional coagulation tests. Accumulation of kidney- and metabolism-derived circulating toxins can subtly alter platelet activity, clot structure, and clot contraction well before overt clinical events occur. The central premise of this project is that these early, integrated changes in blood behavior can be detected through time-resolved electrical measurements. This study will use broadband dielectric and impedance spectroscopy to characterize how CKMS-associated toxins reshape the electrical behavior of whole blood during clot formation and contraction. Human blood samples will be exposed ex vivo to physiologically relevant concentrations of key circulating toxins, and dynamic electrical signatures will be recorded across multiple frequencies. Quantitative electrical features will be extracted and analyzed to identify toxin-specific and dose-dependent prothrombotic fingerprints. To establish biological relevance, electrical signatures will be correlated with established measures of platelet activation, clot structure, and contraction dynamics. Together, these studies will define how electrical measurements reflect underlying prothrombotic remodeling at the cellular and microstructural level. By establishing electrical fingerprinting as a mechanistically interpretable readout of early clotting risk, this work aims to advance a new biophysical framework for understanding and detecting thrombosis in CKMS. The results are expected to inform future strategies for earlier cardiovascular risk identification and prevention in high-risk populations.
Funder: American Heart Association
Amount: $100,000
Funding type: research
Funder scheme: Rapid Impact Research Award
Start date: 2026-04-01
End date: 2028-03-31
Investigators: Debnath Maji, Debnath Maji
Institution: Louisiana State University
Funded outputs count: 0
Funder award ID: 26RIRA1648874
OpenAlex ID: G7877415135