acupoint-catgut-embedding-therapy-for-abdominal-obesity-treatment

Acupoint Catgut Embedding Therapy for Abdominal Obesity Treatment

As the global economy grows and living standards improve, the rise in overweight and obese individuals poses a significant public health challenge. This ...

Hangzhou Medical College

Autophagy is an important physiological phenomenon in eukaryotes that helps maintain the cellular homeostasis. Autophagy is involved in the development of various cardiovascular diseases, affecting the maintenance of cardiac function and disease prognosis. Physiological levels of autophagy serve as a defense mechanism for cardiomyocytes against environmental stimuli, but an overabundance of autophagy may contribute to the development of cardiovascular diseases. However, conventional biological methods are difficult to monitor the autophagy process in a dynamic and chronic manner. Here, we developed a cardiomyocyte-based biosensing platform that records electrophysiological evolutions in action potentials to reflect the degree of autophagy. Different concentrations of rapamycin-mediated autophagy were administrated in the culture environment to simulate the autophagy model. Moreover, the 3-methyladenine (3-MA)-mediated autophagy inhibition was also investigated the protection on the autophagy. The recorded action potentials can precisely reflect different degrees of autophagy. Our study confirms the possibility of visualizing and characterizing the process of cardiomyocyte autophagy using cardiomyocyte-based biosensing platform, allowing to monitor the whole autophagy process in a non-invasive, real-time, and continuous way. We believe it will pave a promising avenue to precisely study the autophagy-related cardiovascular diseases.

A cardiomyocyte-based biosensing platform for dynamic and quantitative investigation of excessive autophagy.

Hypoglycemia is a common complication which occurs during the treatment of diabetes, closely associated with cardiovascular events. A sudden decrease in blood glucose increases the risk of arrhythmia, which can lead to sudden cardiac death. This event is usually accompanied by abnormal electrophysiological activities in cardiomyocytes. However, traditional models do not efficiently reflect real-time cardiomyocyte electrophysiological changes under various glucose deprivation conditions in a large-scale and high-throughput manner. Therefore, we need to develop a new biosensing platform to aid in related scientific research. In this study, a cardiomyocyte-based biosensor was developed for real-time, noninvasive monitoring of the electrophysiological responses of cardiomyocytes under different glucose concentrations. The findings show that low-glucose conditions result in abnormal electrophysiology in cardiomyocytes, but autophagy enables cells to survive this adversity. Inhibition of autophagy exacerbates electrophysiological abnormalities, and long-term glucose starvation causes irreversible damage to cardiomyocytes. The proposed chronic and dynamic cardiomyocyte-based biosensing platform provides a new tool for understanding the effects of hypoglycemia on the in vitro cardiomyocyte-based heart model, revealing that autophagy has the potential to be an alternative treatment for diabetes and hypoglycemia.

Article	Year
A cardiomyocyte-based biosensing platform for dynamic and quantitative investigation of excessive autophagy. Biosensors & bioelectronics\| PubMed ID: 38364328	2024
Energy stress induced cardiac autophagy detection via a chronic and dynamic cardiomyocytes-based biosensing platform. Biosensors & bioelectronics\| PubMed ID: 39369519	2025

Yuqun Cai

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