The main advantages of microneedles are precise drug delivery through human skin, minimal tissue damage and painlessness. We conducted structural analysis and skin puncture studies of hollow microneedles using ANSYS for three materials: Hafnium Dioxide (HfO₂), Polyglycolic acid (PGA) and Polylactic acid (PLA). Firstly, we selected three lengths, three tip diameters and three base diameters to conduct a L₉(3⁴) orthogonal experiment. Thus, we obtained nine different single-needle structures for each material, totaling 27 models for three materials. Subsequently, we investigated the stability and puncture properties of single needles. The optimal structures of the single-needle for three materials were same. Then, we used the optimal structure of the single-needle to establish the double-needle, triple-needle and five-needle models with ten different spacings. The simulations were carried out to examine the maximum stress during puncture. Finally, we investigated the hydrodynamic properties of water and lidocaine ibuprofen [Lid][Ibp] in the lumen of the microneedle. The results indicated that the optimal spacing of multi-needles varies depending on the material. The flow velocity of the fluid in the lumen is positively correlated with the pressure. Increasing the pressure can effectively reduce the flow velocity loss of low-viscosity fluid.

To study the characteristics of nasal airflow in the presence of nasal cycle by computational fluid dynamics. CT scan data of a healthy Chinese individual was used to construct a three-dimensional model of the nasal cavity to be used as simulation domain. A sinusoidal airflow velocity is set at the nasal cavity entrance to reproduce the breathing pattern of a healthy human. There was a significant difference in the cross-sectional area between the two sides of the nasal cavity. Particularly, the decongested side is characterized by a larger cross-section area, and consequently, by a larger volume with respect to the congested side. The airflow velocity, pressure, and nasal resistance were higher on the congested narrow side. The temperature regulation ability on the congested narrow side was stronger than that on the decongested wider side. During the nasal cycle, there are differences in the nasal cavity function between the congested and decongested sides. Therefore, when evaluating the impact of various factors on nasal cavity function, the nasal cycle should be considered.

Background/Objectives: Numerical simulation plays an important role in pharmaceutical preparation recently. Mechanistic models, as a type of numerical model, are widely used in the study of pharmaceutical preparations. Mechanistic models are based on a priori knowledge, i.e., laws of physics, chemistry, and biology. However, due to interdisciplinary reasons, pharmacy researchers have greater difficulties in using computer models. Methods: In this paper, we highlight the application scenarios and examples of mechanistic modelling in pharmacy research and provide a reference for drug researchers to get started. Results: By establishing a suitable model and inputting preparation parameters, researchers can analyze the drug preparation process. Therefore, mechanistic models are effective tools to optimize the preparation parameters and predict potential quality problems of the product. With product quality parameters as the ultimate goal, the experiment design is optimized by mechanistic models. This process emphasizes the concept of quality by design. Conclusions: The use of numerical simulation saves experimental cost and time, and speeds up the experimental process. In pharmacy experiments, part of the physical information and the change processes are difficult to obtain, such as the mechanical phenomena during tablet compression and the airflow details in the nasal cavity. Therefore, it is necessary to predict the information and guide the formulation with the help of mechanistic models.

The mammalian brain fundamentally relies on precise lipid homeostasis to maintain structural integrity and complex neural signaling. Emerging evidence positions lipid metabolism reprogramming not merely as a secondary pathological byproduct but as a core initiating driver of age-related neurodegenerative diseases. This review systematically evaluates the mechanisms of cerebral lipid dyshomeostasis during brain aging, highlighting glial cells as the central mediators of this pathological cascade. We comprehensively dissect the age-associated “lipid drift”, emphasizing apolipoprotein E (APOE)-induced cholesterol transport defects and lipid raft pathology, the accumulation of lipid droplets that triggers microglial metabolic stress (LDAMs), and ceramide-driven neuronal apoptosis coupled with the exosome-mediated propagation of pathogenic proteins. Furthermore, we map these aberrant lipid networks to specific pathological signatures in Alzheimer’s, Parkinson’s, and demyelinating diseases. Finally, we critically evaluate promising therapeutic interventions, including nutritional strategies, LXR/RXR agonists, and nanotechnology-enabled delivery systems designed to bypass the blood–brain barrier. By integrating high-throughput lipidomics for early diagnostic biomarker discovery, we underscore the translational imperative of restoring cerebral lipid homeostasis as a disease-modifying strategy for neurodegeneration.

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, and residual inflammatory risk persists despite optimal lipid and glucose control. Emerging evidence indicates that metabolic reprogramming within immune cells constitutes a central driver of cardiovascular immune injury. In this review, we propose a unifying framework in which glyco-lipotoxicity acts as a primary metabolic trigger, inducing mitochondrial dysfunction, oxidative stress, and activation of the NLRP3 inflammasome and cGAS–STING pathways. Hyperglycaemia and dyslipidaemia reshape intracellular metabolic circuits, enhancing glycolysis and disrupting oxidative phosphorylation, thereby promoting sustained pro-inflammatory phenotypes. Crucially, metabolic intermediates function as cofactors for epigenetic remodelling. This establishes trained immunity in both circulating innate immune cells and haematopoietic stem/progenitor cells, which serves as the cellular basis for persistent metabolic memory. This persistent immunometabolic imprint amplifies sterile inflammation and accelerates vascular and myocardial remodelling. Furthermore, these processes are systemically propagated through cross-organ communication networks, including the heart–adipose, gut–heart, and cardio-hematopoietic axes, forming a multidimensional inflammatory amplification loop. We also summarise emerging therapeutic strategies targeting the metabolic–epigenetic axis, aiming to reverse maladaptive trained immunity and mitigate residual CVD risk. By integrating immunometabolism, epigenetic regulation, and organ crosstalk, this review highlights metabolic reprogramming as a pivotal mechanistic nexus and potential precision target for cardiovascular protection.