lncRNA-056298 Regulates GAP43 and Promotes Cardiac Intrinsic Autonomic Nerve Remodelling in a Canine Model of Atrial Fibrillation Induction after Ganglionated Plexus Ablation.

BACKGROUND: Cardiac intrinsic autonomic nerve remodelling has been reported to play an important role in the recurrence of atrial fibrillation after radiofrequency ablation, which significantly affects the long-term efficacy of this procedure. lncRNAs have been shown to interact in the pathological processes underlying heart diseases. However, the roles and mechanisms of lncRNAs in cardiac intrinsic autonomic nerve remodelling during atrial fibrillation reduction after ganglionated plexus ablation remain unknown. OBJECTIVES: The aim of this study was to investigate the mechanism by which lncRNA- 056298 modulates GAP43 to affect cardiac intrinsic autonomic nerve remodelling and facilitate the induction of atrial fibrillation after ganglionated plexus ablation. METHODS: A canine model of right atrial ganglionated plexus ablation was established. The atrial electrophysiological characteristics and neural markers were detected before and after 6 months of ganglionated plexus ablation. High-throughput sequencing was used to screen differentially expressed lncRNAs in target atrial tissues, and lncRNA- 056298 was selected to further explore its effects and mechanisms on cardiac intrinsic autonomic nerve remodelling. RESULTS: The induction rate of atrial fibrillation increased in dogs after ganglionated plexus ablation. Overexpression of lncRNA-056298 by lentivirus can shorten the atrial effective refractory period and increase the induction of atrial fibrillation. lncRNA- 056298 promoted cardiac intrinsic autonomic nerve remodelling via endogenous competition with cfa-miR-185 to induce transcription of its target gene GAP43, thereby affecting the induction of atrial fibrillation. CONCLUSIONS: lncRNA-056298 regulates GAP43 by sponging miR-185, which affects cardiac intrinsic autonomic nerve remodelling and mediates atrial fibrillation induction after ganglionated plexus ablation.

High-fat stimulation induces atrial neural remodeling by reducing NO production via the CRIF1/eNOS/P21 axi.

BACKGROUND: Autonomic remodeling of the atria plays a pivotal role in the development of atrial fibrillation (AF) and exerts a substantial influence on the progression of this condition. Hyperlipidemia is a predisposing factor for AF, but its effect on atrial nerve remodeling is unclear. The primary goal of this study was to explore the possible mechanisms through which the consumption of a high-fat diet (HFD) induces remodeling of atrial nerves, and to identify novel targets for clinical intervention. METHODS: Cell models were created in vitro by subjecting cells to palmitic acid (PA), while rat models were established by feeding them a high-fat diet. To investigate the interplay between cardiomyocytes and nerve cells in a co-culture system, we utilized Transwell cell culture plates featuring a pore size of 0.4 µm. The CCK-8 assay was employed to determine cell viability, fluorescent probe DCFH-DA and flow cytometry were utilized for measuring ROS levels, JC-1 was used to assess the mitochondrial membrane potential, the Griess method was employed to measure the nitric oxide (NO) level in the supernatant, a fluorescence-based method was used to measure ATP levels, and MitoTracker was utilized for assessing mitochondrial morphology. The expression of pertinent proteins was evaluated using western blotting (WB) and immunohistochemistry techniques. SNAP was used to treat nerve cells in order to replicate a high-NO atmosphere, and the level of nitroso was assessed using the iodoTMT reagent labeling method. RESULTS: The study found that cardiomyocytes' mitochondrial morphology and function were impaired under high-fat stimulation, affecting nitric oxide (NO) production through the CRIF1/SIRT1/eNOS axis. In a coculture model, overexpression of eNOS in cardiomyocytes increased NO expression. Moreover, the increased Keap1 nitrosylation within neuronal cells facilitated the entry of Nrf2 into the nucleus, resulting in an augmentation of P21 transcription and a suppression of proliferation. Atrial neural remodeling occurred in the HFD rat model and was ameliorated by increasing myocardial tissue eNOS protein expression with trimetazidine (TMZ). CONCLUSIONS: Neural remodeling is triggered by high-fat stimulation, which decreases the production of NO through the CRIF1/eNOS/P21 axis. Additionally, TMZ prevents neural remodeling and reduces the occurrence of AF by enhancing eNOS expression.

Puerarin-Tanshinone IIA Suppresses atherosclerosis inflammatory plaque via targeting succinate/HIF-1α/IL-1ß axis.

ETHNOPHARMACOLOGICAL RELEVANCE: Inflammatory injury is an important pathological factor for the formation of atherosclerotic plaque. It is well known that Puerarin and Tanshinone IIA (Pue-Tan) can significantly reduce interleukin-1ß (IL-1ß) levels and delay the atherosclerosis (AS) process clinically in China. Previous evidence has shown that the Succinate/HIF-1α/IL-1ß inflammatory signaling axis (Succinate axis) promotes the progression of atherosclerotic inflammatory plaques. It is not clear whether Pue-Tan inhibits inflammatory plaques by reducing the level of IL-1ß through the succinate signaling axis. AIM OF STUDY: Find out the interaction between Pue-Tan targets and the succinate axis by means of network pharmacology and bioinformatics analysis and to further confirm whether Pue-Tan can inhibit vascular inflammation and delay the formation of atherosclerotic inflammatory plaques by targeting the succinate signaling axis. MATERIALS AND METHODS: Firstly, animal experiments were conducted to verify the changing relationship between Succinate and IL-1ß under Pue-Tan intervention. Secondly, network pharmacology approach was employed to uncover the specific targets of Pue-Tan in the intervention of AS from multiple levels of components, proteins, and pathways, and at the same time, the target must be a key factor of the succinate signaling axis. Autodock vina1.5.6 was applied to molecular docking for Pue-Tan and target protein. Subsequently, cells experiment and animal experiment were performed to verify Pue-Tan inhibiting the inflammatory progression of atherosclerosis by targeting succinate signaling axis. RESULTS: Firstly, we first found that the reduction of IL-1ß was positively correlated with succinate in the serum of Pue-Tan-treated mice. Secondly, network pharmacology compared with molecular docking showed that hypoxia-induced factor-1α (HIF-1α) was the key target of Pue-Tan and the key node of succinate singling axis. Finally, in vitro study, Pue-Tan significantly reduced the factors of succinate axis just as HIF-1α siRNA; in vivo study, we confirmed a decreased expression of succinate axis and ICAM-1 in the aorta of ApoE-/- mice under Pue-Tan intervention, which was consistent with the in vitro results. CONCLUSION: This study confirmed that Pue-Tan blocked the succinate axis by targeting HIF-1α to prevent the formation of atherosclerotic inflammatory plaques and delay the pathological process of AS. Network Pharmacology, Bioinformatics of Molecular Docking, and Molecular Biology Validation can be used as a effective way to discover and verify the pharmacological mechanism of TCM.

YOLOv5s-SA: Light-Weighted and Improved YOLOv5s for Sperm Detection.

Sperm detection performance is particularly critical for sperm motility tracking. However, there are a large number of non-sperm objects, sperm occlusion and poorly detailed texture features in semen images, which directly affect the accuracy of sperm detection. To solve the problem of false detection and missed detection in sperm detection, a multi-sperm target detection model, Yolov5s-SA, with an SA attention mechanism is proposed based on the YOLOv5s algorithm. Firstly, a depthwise, separable convolution structure is used to replace the partial convolution of the backbone network, which can ensure stable precision and reduce the number of model parameters. Secondly, a new multi-scale feature fusion module is designed to enhance the perception of feature information to supplement the positional information and high-resolution of the deep feature map. Finally, the SA attention mechanism is integrated into the neck network before the output of the feature map to enhance the correlation between the feature map channels and improve the fine-grained feature fusion ability of YOLOv5s. Experimental results show that compared with various YOLO algorithms, the proposed algorithm improves the detection accuracy and speed to a certain extent. Compared with the YOLOv3, YOLOv3-spp, YOLOv5s and YOLOv5m models, the average accuracy increases by 18.1%, 15.2%, 6.9% and 1.9%, respectively. It can effectively reduce the missed detection of occluded sperm and achieve lightweight and efficient multi-sperm target detection.

PRG: A Distance Measurement Algorithm Based on Phase Regeneration.

With the booming development of the Internet of things (IoT) industry, the demand of positioning technology in various IoT application scenarios is also greatly increased. To meet the positioning requirements of the IoT application, we propose a distance measurement method based on phase regeneration that can provide positioning capability for IoT applications in indoor and outdoor environments. The PRG algorithm consists of two phases: coarse ranging phase and fine ranging phase. Fingerprint positioning algorithm based on Gradient Boost Decision Tree (GBDT) is used to determine coarse distance. The host machine measures the difference between the transmitted carrier phase and the received regenerative carrier phase to fix the fine distance and then the coarse distance is used to determine the carrier phase integer ambiguity. Finally, high precision ranging is realized. Simulation results show that the PRG method can achieve range finding with decimeter level precision under the 10 MHz subcarrier frequency.