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Zhilin Qu

Researcher at University of California, Los Angeles

Publications -  233
Citations -  13696

Zhilin Qu is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Afterdepolarization & Ventricular fibrillation. The author has an hindex of 63, co-authored 222 publications receiving 12346 citations. Previous affiliations of Zhilin Qu include Northeastern University & Beijing Normal University.

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Preventing ventricular fibrillation by flattening cardiac restitution

TL;DR: It is shown that bretylium acts in accord with the restitution hypothesis: by flattening restitution curves, it prevents wave break and thus prevents fibrillation.
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From Pulsus to Pulseless: The Saga of Cardiac Alternans

TL;DR: These insights have illuminated the mechanistic basis underlying the clinical association of cardiac alternans (eg, T wave alternans) with arrhythmia risk, which may lead to novel therapeutic approaches to avert sudden cardiac death.
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Mechanisms of Discordant Alternans and Induction of Reentry in Simulated Cardiac Tissue

TL;DR: Both discordant APD alternans and preexisting APD heterogeneity facilitate reentry by causing the waveback to propagate slowly, and reduction of dynamically induced dispersion by appropriate alteration of electrical restitution has promise as an antiarrhythmic strategy.
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A Rabbit Ventricular Action Potential Model Replicating Cardiac Dynamics at Rapid Heart Rates

TL;DR: This study modified the L-type calcium (Ca) current and Ca(i) cycling formulations based on new experimental patch-clamp data obtained in isolated rabbit ventricular myocytes, and developed a minimal seven-state Markovian model of I(Ca,L) that reproduced Ca- and voltage-dependent kinetics.
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Chaos and the transition to ventricular fibrillation: A new approach to antiarrhythmic drug evaluation

TL;DR: Evidence is summarized that the transition from tachycardia to fibrillation is a transition to spatiotemporal chaos, with similarities to the quasiperiodic transition to chaos seen in fluid turbulence, which will support a new paradigm for antiarrhythmic drug classification.