Effect of Yang-Warming and Kidney-Tonifying Prescription on Expression of Osteogenic and Angiogenic Factors and H-Type Vascular Markers in Steroid-Induced Avascular Necrosis of Femoral Head in Rabbits

Objective: To investigate the effect of Yang-warming and Kidney-tonifying Prescription (YKP) on the treatment of steroid-induced avascular necrosis of the femoral head (SANFH) in rabbits. And to further explore whether its therapeutic mechanism is related to the expression of HIF-1α and VEGF (angiogenic factors), BMP2 and Osterix (osteogenic factor), CD31 (type H vascular marker) and MMP13 (bone destruction-related factor). Methods: Twenty-seven healthy male New Zealand white rabbits were divided into a normal group, model group, traditional Chinese medcine (TCM) group (clinical equivalent dose group of YKP), miR-130a inhibitor group and TCM + inhibitor group. The SANFH model was established by combining horse serum with methylprednisolone. After the model is successfully established, TCM group was given 6.44 g/kg·d YKP by gavage, and the miR-130a gene inhibitor group was intraperitoneally injected with 25 mg/kg miR-130a inhibitor, locked nucleic acid (LNA)-anti-miR-130a. TCM + inhibitor group was treated with YKP intragastrically and miR-130a inhibitor intraperitoneally. The rabbits in the normal group and the model group were intragastrically administered with normal saline 10 ml/d. Once a day for 4 weeks. The avascular necrosis was detected by HE staining. The contents of HIF-1α, VEGF, BMP2 and Osterix in rabbit tissues were detected by qRT-PCR kit, and the expression of CD31 and MMP13 was detected by immunofluorescence staining. Results: In the normal group, the surface of the cartilage layer of the femoral head was smooth, the bone trabeculae were intact and densely arranged, the cells of each layer were neatly arranged, the morphology of the bone cells, the chondrocytes and the adipocytes were normal. In the model group, cartilage surfaces of the femoral head showed exfoliative cracks. The bone trabecular structure was loose and incomplete, chondrocytes, osteoblasts and bone marrow cells were significantly reduced, and the number of empty bone traps was significantly increased. In the TCM-treated group, more chondrocytes, thicker cartilage layer, and more regular bone trabeculae were detected as compared to model rabbits. In contrast, the cartilage layer was thinner, the destruction and fracture of bone trabeculae was more serious, chondrocytes and osteocytes were decreased as compared to model group. The expression of HIF-1α, VEGF, BMP2, and Osterix in the model group decreased significantly as compared to the normal group (P Conclusion: YKP can regulate the expression of angiogenic-related factors (VEGF and HIF-α), osteogenic-related factors (BMP2 and Osterix), and H-type vascular marker CD31, resulting in increased expressions of VEGF, HIF-α, BMP2, and Osterix, which promote intra-femoral head revascularization. Meanwhile, YKP decreased the expression of bone-destruction-related factor MMP13, thus enhancing the ability of bone tissue to repair itself. Regulation of these molecules’ expression may be one of the mechanisms of YKP in the treatment of hormonal femoral head necrosis.

Leveraging Machine Learning Potentials for In-Situ Searching of Active sites in Heterogeneous Catalysis

This Perspective explores the integration of machine learning potentials(MLPs)in the research of heterogeneous catalysis,focusing on their role in identifying in situ active sites and enhancing the understanding of catalytic processes.MLPs utilize extensive databases from high-throughput density functional theory(DFT)calculations to train models that predict atomic configurations,energies,and forces with near-DFT accuracy.These capabilities allow MLPs to handle significantly larger systems and extend simulation times beyond the limitations of traditional ab initio methods.Coupled with global optimization algorithms,MLPs enable systematic investigations across vast structural spaces,making substantial contributions to the modeling of catalyst surface structures under reactive conditions.The review aims to provide a broad introduction to recent advancements and practical guidance on employing MLPs and also showcases several exemplary cases of MLP-driven discoveries related to surface structure changes under reactive conditions and the nature of active sites in heterogeneous catalysis.The prevailing challenges faced by this approach are also discussed.

Robust attitude coordinated control for spacecraft formation with communication delays

In this paper,attitude coordinated tracking control algorithms for multiple spacecraft formation are investigated with consideration of parametric uncertainties,external disturbances,communication delays and actuator saturation.Initially,a sliding mode delay-dependent attitude coordinated controller is proposed under bounded external disturbances.However,neither inertia uncertainty nor actuator constraint has been taken into account.Then,a robust saturated delaydependent attitude coordinated control law is further derived,where uncertainties and external disturbances are handled by Chebyshev neural networks（CNN）.In addition,command filter technique is introduced to facilitate the backstepping design procedure,through which actuator saturation problem is solved.Thus the spacecraft in the formation are able to track the reference attitude trajectory even in the presence of time-varying communication delays.Rigorous analysis is presented by using Lyapunov-Krasovskii approach to demonstrate the stability of the closed-loop system under both control algorithms.Finally,the numerical examples are carried out to illustrate the efficiency of the theoretical results.