Chao Nang Qing prescription promotes granulosa cell apoptosis and autophagy by targeting GATA3.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a common endocrine disease in women of reproductive age, with complex pathological symptoms and mechanisms. This study explored the mechanism of action of Chao Nang Qing prescription (CNQP) in PCOS. METHODS: CNQP-medicated serum was prepared for culturing KGN granulosa cells. GATA3 knockdown, MYCT1 overexpression, and MYCT1 knockdown vectors were constructed to transfect KGN cells. Cell proliferation and apoptosis, as well as the expression of autophagy-related LC3-II/I, Beclin-1, and p62, were analyzed. ChIP was used to detect the binding of GATA3 and the MYCT1 promoter, and dual-luciferase reporter assay was used to analyze the influence of GATA3 on MYCT1 promoter activity. RESULTS: CNQP treatment reduced proliferation, increased apoptosis, elevated LC3-II/I, Beclin-1, GATA3, and MYCT1 expression, and decreased p62 expression in KGN cells. GATA3 bound to the MYCT1 promoter to promote MYCT1 expression. MYCT1 overexpression impeded proliferation and stimulated apoptosis and autophagy in KGN cells. Compared to CNQP treatment alone, GATA3 or MYCT1 knockdown before CNQP treatment promoted proliferation and reduced apoptosis and autophagy in KGN cells. CONCLUSION: CNQP may modulate KGN cell activity by upregulating GATA3 and MYCT1 expression, thereby slowing down the progression of PCOS.

A Driving-Adapt Strategy for the Electric Vehicle with Magneto-Rheological Fluid Transmission Considering the Powertrain Characteristics.

The additional energy consumption caused by the incompatibility between existing electric vehicle (EV) powertrain characteristics and driving conditions inevitably curbs the promotion and development of EVs. Hence, there is an urgent demand for the driving-adapt strategy, which aims to minimize EV energy consumption due to both powertrain characteristics and driving conditions. In order to fully explore the EV driving-adapt potential, this paper equips the EV with a magneto-rheological fluid transmission (MRFT). First, an EV dynamics analysis of the driving conditions, the powertrain model considering the energy transmission process, and the driving-adapt transmission model considering magneto-rheological fluid (MRF) is conducted to clarify the quantitative relation between the driving conditions and the powertrain. Second, a driving-adapt optimization strategy in the specific driving condition is proposed. Finally, the results and discussions are executed to study (i) the determination of the MRFT fixed speed ratio and variable speed ratio range, (ii) the application potential analysis of the proposed strategy, and (iii) the feasibility analysis of the proposed strategy. The results indicate that (i) the urban driving condition has higher requirements for the MRFT, (ii) EVs equipped with MRFT achieve the expected driving performance at the most states of charge (SOCs) and environmental temperatures, except for the SOC lower than 10%, and (iii) the driving time with efficiency greater than 80% can be increased by the MRFT from 10.1% to 58.7% and from 66.8% to 88.8% in the urban and suburban driving conditions, respectively. Thus, the proposed driving-adapt strategy for the EV equipped with the MRFT has the potential to alleviate or eliminate the traffic problems caused by the incompatibility of the EV powertrain characteristics and the driving conditions.

Stability Analysis for H∞ -Controlled Active Quarter-Vehicle Suspension Systems With a Resilient Event-Triggered Scheme Under Periodic DoS Attacks.

The stability analysis is studied for H∞ controlled networked active quarter-vehicle suspension systems with a resilient event-triggered scheme (RETS) under periodic denial-of-service (DoS) jamming attacks in this article. For the networked suspension system, the system-state signals are measured by sensors and transmitted to the cloud controller through a wireless network and then the control signal is transferred to the actuator to control it. An event-triggered scheme (ETS) is designed to reduce the workload of data transmission, which is effective to select some most useful information to transmit and discard some redundant data. DoS attacks can block the data transmission when it is active, so a resilient event-triggered H∞ control method is built based on the Lyapunov stability theory. The exponential stability of the controlled suspension system, as well as the H∞ performance, is analyzed in this article. Some simulation results show that the proposed control method is effective to improve driving comfort and driving safety and reduce the workload of data transmission under periodic DoS attacks.