Han-Zhong Feng
Wayne State University
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Publication
Featured researches published by Han-Zhong Feng.
Aging Cell | 2016
Tan Zhang; Andrea Pereyra; Zhong Min Wang; Alexander Birbrair; Julie A. Reisz; Daniel Clark Files; Lina Purcell; Xin Feng; María Laura Messi; Han-Zhong Feng; Joseph M. Chalovich; Jian Ping Jin; Cristina M. Furdui; Osvaldo Delbono
Loss of strength in human and animal models of aging can be partially attributed to a well‐recognized decrease in muscle mass; however, starting at middle‐age, the normalized force (force/muscle cross‐sectional area) in the knee extensors and single muscle fibers declines in a curvilinear manner. Strength is lost faster than muscle mass and is a more consistent risk factor for disability and death. Reduced expression of the voltage sensor Ca2+ channel α1 subunit (Cav1.1) with aging leads to excitation–contraction uncoupling, which accounts for a significant fraction of the decrease in skeletal muscle function. We recently reported that in addition to its classical cytoplasmic location, fast skeletal muscle troponin T3 (TnT3) is fragmented in aging mice, and both full‐length TnT3 (FL‐TnT3) and its carboxyl‐terminal (CT‐TnT3) fragment shuttle to the nucleus. Here, we demonstrate that it regulates transcription of Cacna1s, the gene encoding Cav1.1. Knocking down TnT3 in vivo downregulated Cav1.1. TnT3 downregulation or overexpression decreased or increased, respectively, Cacna1s promoter activity, and the effect was ablated by truncating the TnT3 nuclear localization sequence. Further, we mapped the Cacna1s promoter region and established the consensus sequence for TnT3 binding to Cacna1s promoter. Systemic administration of BDA‐410, a specific calpain inhibitor, prevented TnT3 fragmentation, and Cacna1s and Cav1.1 downregulation and improved muscle force generation in sedentary old mice.
Journal of Molecular and Cellular Cardiology | 2018
Han-Zhong Feng; Jian Ping Jin
Genetically modified mice are widely used as experimental models to study human heart function and diseases. However, the fast rate of normal mouse heart at 400-600bpm limits its capacity of assessing kinetic parameters that are important for the physiology and pathophysiology of human heart that beats at a much slower rate (75-180bpm). To extend the value of mouse models, we established a protocol to study ex vivo mouse working hearts at a human-like heart rate. In the presence of 300μM lidocaine to lower pacemaker and conductive activities and prevent arrhythmia, a stable rate of 120-130bpm at 37°C is achieved for ex vivo mouse working hearts. The negative effects of decreased heart rate on force-frequency dependence and lidocaine as a myocardial depressant on intracellular calcium can be compensated by using a higher but still physiological level of calcium (2.75mM) in the perfusion media. Multiple parameters were studied to compare the function at the human-like heart rate with that of ex vivo mouse working hearts at the standard rate of 480bpm. The results showed that the conditions for slower heart rate in the presence of 300μM lidocaine did not have depressing effect on left ventricular pressure development, systolic and diastolic velocities and stroke volume with maintained positive inotropic and lusitropic responses to β-adrenergic stimulation. Compared with that at 480bpm, the human-like heart rate increased ventricular filling and end diastolic volume with enhanced Frank-Starling responses. Coronary perfusion was increased from longer relaxation time and interval between beats whereas cardiac efficiency was significantly improved. Although the intrinsic differences between mouse and human heart remain, this methodology for ex vivo mouse hearts to work at human-like heart rate extends the value of using genetically modified mouse models to study cardiac function and human heart diseases.
Biophysical Journal | 2016
Han-Zhong Feng; Katsuhito Takahashi; Jian-Ping Jing
Journal of Strength and Conditioning Research | 2018
Jenney Liu; Icksoo Lee; Han-Zhong Feng; Sujay S. Galen; Philipp P. Hüttemann; Guy A. Perkins; Jian Ping Jin; Maik Hüttemann; Moh H. Malek
Biophysical Journal | 2017
Li-Fei Liu; Han-Zhong Feng; J.-P. Jin
Biophysical Journal | 2017
Han-Zhong Feng; J.-P. Jin
Biophysical Journal | 2016
Laura K. Gunther; Han-Zhong Feng; Jian Ping Jin; Takeshi Sakamoto
Biophysical Journal | 2015
Han-Zhong Feng; Jian Ping Jin
Biophysical Journal | 2015
Laura K. Gunther; Han-Zhong Feng; Hongguang Wei; Justin J. Raupp; Jian Ping Jin; Takeshi Sakamoto
Biophysical Journal | 2015
Han-Zhong Feng; Moh H. Malek; Xuequn Chen; Jian Ping Jin