Zihui Geng

Dr. Zihui Geng


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 March 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
ZGZihui Geng
Zihui Geng
LJLian Jin
Lian Jin
Honglei ZhuHonglei Zhu
Honglei Zhu
JWJianfei Wang
Jianfei Wang
XWXiaomei Wu
Xiaomei Wu
Myocardial ischemia could induce arrhythmias such as ventricular tachycardia and ventricular fibrillation, leading to sudden death and other serious consequences. This manuscript adopted the cardiac modeling and simulation method to study the activity pattern of myocardial ischemia-related ventricular tachycardia and the effect of increased extracellular potassium concentration on arrhythmia vulnerability. A whole ventricular electrophysiological model of endocardial ischemia caused by distal occlusion of left anterior descending coronary artery was established. The simulation results suggested that the relationship between the vulnerability of ventricular arrhythmias and extracellular potassium concentration was bell shaped with a peak in susceptibility at 12 mM. This result was caused by the effect of extracellular potassium concentration on the dispersion of repolarization and the effective refractory period of cardiomyocytes. The extension of the effective refractory period was due to the electrical remodeling of the ventricle. Specifically, it was because of the delayed recovery of the INa current. In addition, the regularity of endocardial/epicardial reentrant pattern during non-transmural ischemia was also analyzed. The endocardium formed micro-reentrant, while the epicardium established macro-reentrant rotating around the ischemic regions provided a new idea for the determination of clinical ablation targets.

29 January 2022 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
ZGZihui Geng
Zihui Geng
LJLian Jin
Lian Jin
Yanqi HuangYanqi Huang
Yanqi Huang
XWXiaomei Wu
Xiaomei Wu

3 August 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
KGKaihao Gu
Kaihao Gu
ZGZihui Geng
Zihui Geng
YYYuwei Yang
Yuwei Yang
SYShengjie Yan
Shengjie Yan
BHBo Hu
Bo Hu
XWXiaomei Wu
Xiaomei Wu
(1) Background: The main factors and their interrelationships contributing to cardiac repolarization alternans (CRA) remain unclear. This study aimed to elucidate the calcium (Ca2+)-related mechanisms underlying myocardial ischemia (MI)-induced CRA. (2) Materials and Methods: CRA was induced using S1 stimuli for pacing in an in silico ventricular model with MI. The standard deviations of nine Ca2+-related subcellular parameters among heartbeats from 100 respective nodes with and without alternans were chosen as features, including the maximum systole and end-diastole and corresponding differences in the Ca2+ concentration in the intracellular region([Ca2+]i) and junctional sarcoplasmic reticulum ([Ca2+]jsr), as well as the maximum opening of the L-type Ca2+ current (ICaL) voltage-dependent activation gate (d-gate), maximum closing of the inactivation gate (ff-gate), and the gated channel opening time (GCOT). Feature selection was applied to determine the importance of these features. (3) Results: The major parameters affecting CRA were the differences in [Ca2+]i at end-diastole, followed by the extent of d-gate activation and GCOT among beats. (4) Conclusions: MI-induced CRA is primarily characterized by functional changes in Ca2+ re-uptake, leading to alternans of [Ca2+]i and subsequent alternans of ICaL-dependent properties. The combination of computational simulation and machine learning shows promise in researching the underlying mechanisms of cardiac electrophysiology.