Cardiovascular disease (CVD) is the most common and fatal non communicable disease in the world. Hypertension accounts for a large proportion of global non communicable diseases. Irisin was first discovered and named in 2012. As a muscle myokine, irisin has the function of regulating glucose and lipid metabolism. Exercise can promote irisin' participation in energy metabolism in the body. At the same time, it has been found that irisin can intervene in the development of hypertension and have a positive effect on the improvement of hypertension. Therefore, this paper reviews research on the relationship between irisin and hypertension, summarizes the mechanism of irisin’ action on vascular function in hypertension, and analyzes the effect of irisin on blood pressure under exercise intervention.

Neuroscience is a significant frontier discipline within the natural sciences and has become an important interdisciplinary frontier scientific field. Brain is one of the most complex organs in the human body, and its structural and functional analysis is considered the “ultimate frontier” of human self-awareness and exploration of nature. Driven by the strategic layout of “China Brain Project”, Chinese scientists have conducted systematic research focusing on “understanding the brain, simulating the brain, and protecting the brain”. They have made breakthrough progress in areas such as the principles of brain cognition, mechanisms and interventions for brain diseases, brain-like computation, and applications of brain-machine intelligence technology, aiming to enhance brain health through biomedical technology and improve the quality of human life. Due to limited understanding and comprehension of neuroscience, there are still many important unresolved issues in the field of neuroscience, resulting in a lack of effective measures to prevent and protect brain health. Therefore, in addition to actively developing new generation drugs, exploring non pharmacological treatment strategies with better health benefits and higher safety is particularly important. Epidemiological data shows that, exercise is not only an indispensable part of daily life but also an important non-pharmacological approach for protecting brain health and preventing neurodegenerative diseases, forming an emerging research field known as motor neuroscience. Basic research in motor neuroscience primarily focuses on analyzing the dynamic coding mechanisms of neural circuits involved in motor control, breakthroughs in motor neuroscience research depend on the construction of dynamic monitoring systems across temporal and spatial scales. Therefore, high spatiotemporal resolution detection of movement processes and movement-induced changes in brain structure and neural activity signals is an important technical foundation for conducting motor neuroscience research and has developed a set of tools based on traditional neuroscience methods combined with novel motor behavior decoding technologies, providing an innovative technical platform for motor neuroscience research. The protective effect of exercise in neurodegenerative diseases provides broad application prospects for its clinical translation. Applied research in motor neuroscience centers on deciphering the regulatory networks of neuroprotective molecules mediated by exercise. From the perspectives of exercise promoting neurogenesis and regeneration, enhancing synaptic plasticity, modulating neuronal functional activity, and remodeling the molecular homeostasis of the neuronal microenvironment, it aims to improve cognitive function and reduce the incidence of Parkinson’s disease and Alzheimer’s disease. This has also advanced research into the molecular regulatory networks mediating exercise-induced neuroprotection and facilitated the clinical application and promotion of exercise rehabilitation strategies. Multidimensional analysis of exercise-regulated neural plasticity is the theoretical basis for elucidating the brain-protective mechanisms mediated by exercise and developing intervention strategies for neurological diseases. Thus,real-time analysis of different neural signals during active exercise is needed to study the health effects of exercise throughout the entire life cycle and enhance lifelong sports awareness. Therefore, this article will systematically summarize the innovative technological developments in motor neuroscience research, review the mechanisms of neural plasticity that exercise utilizes to protect the brain, and explore the role of exercise in the prevention and treatment of major neurodegenerative diseases. This aims to provide new ideas for future theoretical innovations and clinical applications in the field of exercise-induced brain protection.

The two core causes of obesity in modern lifestyle are high-fat diet (HFD) and insufficient physical activity. HFD can lead to disruption of gut microbiota and abnormal lipid metabolism, further exacerbating the process of obesity. The small intestine, as the “first checkpoint” for the digestion and absorption of dietary lipids into the body, plays a pivotal role in lipid metabolism. The small intestine is involved in the digestion, absorption, transport, and synthesis of dietary lipids. The absorption of lipids in the small intestine is a crucial step, as overactive absorption leads to a large amount of lipids entering the bloodstream, which affects the occurrence of obesity. HFD can lead to insulin resistance, disruption of gut microbiota, and inflammatory response in the body, which can further induce lipid absorption and metabolism disorders in the small intestine, thereby promoting the occurrence of chronic metabolic diseases such as obesity. Long term HFD can accelerate pathological structural remodeling and lipid absorption dysfunction of the small intestine: after high-fat diet, the small intestine becomes longer and heavier, with excessive villi elongation and microvilli elongation, thereby increasing the surface area of lipid absorption and causing lipid overload in the small intestine. In addition, overexpression of small intestine uptake transporters, intestinal mucosal damage induced “intestinal leakage”, dysbiosis of intestinal microbiota, ultimately leading to abnormal lipid absorption and chronic inflammation, accelerating lipid accumulation and obesity. Exercise, as one of the important means of simple, economical, and effective proactive health interventions, has always been highly regarded for its role in improving lipid metabolism homeostasis. The effect of exercise on small intestine lipid absorption shows a dose-dependent effect. Moderate to low-intensity aerobic exercise can improve the intestinal microenvironment, regulate the structure and lipid absorption function of the small intestine, promote lipid metabolism and health, while vigorous exercise, excessive exercise, and long-term high-intensity training can cause intestinal discomfort, leading to the destruction of intestinal structure and related symptoms, affecting lipid absorption. Long term regular exercise can regulate the diversity of intestinal microbiota, inhibit inflammatory signal transduction such as NF-κB, enhance intestinal mucosal barrier function, and improve intestinal lipid metabolism disorders, further enhancing the process of small intestinal lipid absorption. Exercise also participates in the remodeling process of small intestinal epithelial cells, regulating epithelial structural homeostasis by activating cell proliferation related pathways such as Wnt/β-catenin. Exercise can regulate the expression of lipid transport proteins CD36, FATP, and NPC1L1, and regulate the function of small intestine lipid absorption. However, the research on the effects of long-term exercise on small intestine structure, villus structure, absorption surface area, and lipid absorption related proteins is not systematic enough, the results are inconsistent, and the relevant mechanisms are not clear. In the future, experimental research can be conducted on the dose-response relationship of different intensities and forms of exercise, exploring the mechanisms of exercise improving small intestine lipid absorption and providing theoretical reference for scientific weight loss. It should be noted that the intestine is an organ that is sensitive to exercise response. How to determine the appropriate range, threshold, and form of exercise intensity to ensure beneficial regulation of intestinal lipid metabolism induced by exercise should become an important research direction in the future.

Metaflammation is a crucial mechanism in the onset and advancement of metabolic disorders, primarily defined by the activation of immune cells and increased concentrations of pro-inflammatory substances. The function of brain-derived neurotrophic factor (BDNF) in modulating immune and metabolic processes has garnered heightened interest, as BDNF suppresses glial cell activation and orchestrates inflammatory responses in the central nervous system via its receptor tyrosine kinase receptor B (TrkB), while also diminishing local inflammation in peripheral tissues by influencing macrophage polarization. Exercise, as a non-pharmacological intervention, is extensively employed to enhance metabolic disorders. A crucial mechanism underlying its efficacy is the significant induction of BDNF expression in central (hypothalamus, hippocampus, prefrontal cortex, and brainstem) and peripheral (liver, adipose tissue, intestines, and skeletal muscle) tissues and organs. This induction subsequently regulates inflammatory responses, ameliorates metabolic conditions, and decelerates disease progression. Consequently, BDNF is considered a pivotal molecule in the motor-metabolic regulation axis. Despite prior suggestions that BDNF may have a role in the regulation of exercise-induced inflammation, systematic data remains inadequate. Since that time, the field continues to lack structured descriptions and conversations pertinent to it. As exercise physiology research has advanced, the academic community has increasingly recognized that exercise is a multifaceted activity regulated by various systems, with its effects contingent upon the interplay of elements such as type, intensity, and frequency of exercise. Consequently, it is imperative to transcend the prior study paradigm that concentrated solely on localized effects and singular mechanisms and transition towards a comprehensive understanding of the systemic advantages of exercise. A multitude of investigations has validated that exercise confers health advantages for individuals with metabolic disorders, encompassing youngsters, adolescents, middle-aged individuals, and older persons, and typically enhances health via BDNF secretion. However, exercise is a double-edged sword; the relationship between exercise and health is not linearly positive. Insufficient exercise is ineffective, while excessive exercise can be detrimental to health. Consequently, it is crucial to scientifically develop exercise prescriptions, define appropriate exercise loads, and optimize health benefits to regulate bodily metabolism. BDNF mitigates metaflammation via many pathways during exercise. Initially, BDNF suppresses pro-inflammatory factors and facilitates the production of anti-inflammatory factors by modulating bidirectional transmission between neural and immune cells, therefore diminishing the inflammatory response. Secondly, exercise stimulates the PI3K/Akt, AMPK, and other signaling pathways via BDNF, enhancing insulin sensitivity, reducing lipotoxicity, and fostering mitochondrial production, so further optimizing the body’s metabolic condition. Moreover, exercise-induced BDNF contributes to the attenuation of systemic inflammation by collaborating with several organs, enhancing hepatic antioxidant capacity, regulating immunological response, and optimizing “gut-brain” axis functionality. These processes underscore the efficacy of exercise as a non-pharmacological intervention for enhancing anti-inflammatory and metabolic health. Despite substantial experimental evidence demonstrating the efficacy of exercise in mitigating inflammation and enhancing BDNF levels, numerous limitations persist in the existing studies. Primarily, the majority of studies have concentrated on molecular biology and lack causal experimental evidence that explicitly confirms BDNF as a crucial mediator in the exercise regulation of metaflammation. Furthermore, the outcomes of current molecular investigations are inadequately applicable to clinical practice, and a definitive pathway of “exercise-BDNF-metaflammation” remains unestablished. Moreover, the existing research methodology, reliant on animal models or limited human subject samples, constrains the broad dissemination of the findings. Future research should progressively transition from investigating isolated and localized pathways to a comprehensive multilevel and multidimensional framework that incorporates systems biology and exercise physiology. Practically, there is an immediate necessity to undertake extensive, double-blind, randomized controlled longitudinal human studies utilizing multi-omics technologies (e.g., transcriptomics, proteomics, and metabolomics) to investigate the principal signaling pathways of BDNF-mediated metaflammation and to elucidate the causal relationships and molecular mechanisms involved. Establishing a more comprehensive scientific evidence system aims to furnish a robust theoretical framework and practical guidance for the mechanistic interpretation, clinical application, and pharmaceutical development of exercise in the prevention and treatment of metabolic diseases.

Artificial intelligence （AI） health monitoring devices use AI technology and non-invasive sensors to collect individual data， compare it with big data， and provide real-time monitoring and data analysis of users’ physiological and psychological health， so as to provide personalized health recommendations and health risk warnings. AI health monitoring devices greatly enhance individuals’ self-health management abilities and improve their quality of life through round-the-clock uninterrupted monitoring and tracking. However， they also harbor a series of ethical risks， such as user privacy breaches， the digitization of physical sensations， and potential impacts on human subjectivity. Therefore， under the guidance of the principles of privacy and data protection， inclusiveness and fairness， transparency， and explainability， relevant departments should protect personal privacy with perfect laws and regulations， reduce algorithmic bias， ensure disclosure and transparency to promote user understanding， while adhering to the people-oriented principle approach and conducting responsible research and development of interpretable algorithm models for AI health monitoring devices.

Threatened abortion is a common disease of obstetrics and gynecology and one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in TCM obstetrics and gynecology， Western medicine obstetrics and gynecology， and pharmacology to deeply discuss the advantages of TCM and integrated Chinese and Western medicine treatment as well as the medication plans for threatened abortion. After discussion， the experts concluded that chromosome， endocrine， and immune abnormalities were the key factors for the occurrence of threatened abortion， and the Qi and blood disorders in thoroughfare and conception vessels were the core pathogenesis. In the treatment of threatened abortion， TCM has advantages in preventing miscarriages， alleviating clinical symptoms and TCM syndromes， relieving anxiety， regulating reproductive endocrine and immune abnormalities， personalized and diversified treatment， enhancing efficiency and reducing toxicity， and preventing the disease before occurrence. The difficulty in diagnosis and treatment of threatened abortion with traditional Chinese and Western medicine lies in identifying the predictors of abortion caused by maternal factors and the treatment of thrombophilia. Recurrent abortion is the breakthrough point of treatment with integrated traditional Chinese and Western medicine. It is urgent to carry out high-quality evidence-based medicine research in the future to improve the modern diagnosis and treatment of threatened abortion with TCM.

ObjectiveTo investigate the effects of epigallocatechin-3-gallate （EGCG） on learning and memory abilities of amygdala electrical kindling-induced epilepsy in rats and its mechanism. MethodMale SD rats were randomly divided into the normal group， model group， intervention group （model+25 mg·kg^-1 EGCG）， and EGCG group （25 mg·kg^-1 EGCG）. Rats in the EGCG group were only given EGCG intraperitoneal injection， those in the normal group were only given electrode implantation， and those in the other experimental groups were given amygdala electrical kindling stimulation to establish a chronic kindling epilepsy model. EGCG was injected intraperitoneally daily before electrical stimulation. Twenty-four hours after the last electrical stimulation， the escape latency and percentage of target quadrant were recorded by the Morris water maze. Twenty-four hours after the behavioral test， rats in each group were sacrificed by decapitation. The number of hippocampal neurons was observed by Nissl staining. The thickness of postsynaptic density in the hippocampus， synaptic cleft， length of active zone and the curvature of synaptic interface were observed by transmission electron microscopy （TEM）. The expressions of synapse-related proteins synaptotagmin （Syt）， postsynaptic density-95 （PSD-95） and Kalirin-7 in the hippocampus were examined by Western blot. ResultCompared with those in the normal group， the escape latency was significantly prolonged （P<0.05， P<0.01） and the target quadrant ratio was significantly decreased in the model group （P<0.05）. The number of hippocampus neurons decreased significantly （P<0.01）. The synaptic cleft of the hippocampus was widened significantly， and the length of active zone and the thickness of postsynaptic density were significantly decreased （P<0.05， P<0.01）. The expressions of synapse-related proteins Syt， PSD-95 and Kalirin-7 in the hippocampus were significantly decreased （P<0.05，P<0.01）. Compared with those in the model group， the escape latency was significantly shortened and the percentage of target quadrant was significantly increased in the intervention group （P<0.05， P<0，01）. The number of hippocampal neurons significantly increased （P<0.01）. The synaptic cleft of the hippocampus was significantly shortened， and the length of active zone and postsynaptic density were significantly increased （P<0.05， P<0.01）. The expressions of synaptic related proteins Syt， PSD-95 and Kalirin-7 were significantly increased （P<0.05， P<0.01）. ConclusionEGCG can effectively improve cognitive dysfunction after epilepsy. Its protective effect may be achieved by protecting the ultrastructure of hippocampal synapses and regulating the expressions of synapse-related proteins Syt， PSD-95 and Kalirin-7.

Bone Transplantation/adverse effects* ; Transplantation, Autologous/adverse effects*

In the past few decades, microbubbles were widely used as ultrasound contrast agents in the field of tumor imaging. With the development of research, ultrasound targeted microbubble destruction technology combined with drug-loaded microbubbles can achieve precise drug release and play a therapeutic role. As a micron-scale carrier, microbubbles are difficult to penetrate the endothelial cell space of tumors, and nano-scale drug delivery system—nanobubbles came into being. The structure of the two is similar, but the difference in size highlights the unique advantages of nanobubbles in drug delivery. Based on the classification principle of shell materials, this review summarized micro/nanobubbles used for ultrasound diagnosis or treatment and discussed the possible development directions, providing references for the subsequent development.

ObjectiveTo explore the distribution of pharyngeal microbiota in coal miners exposed to dust. Methods Eight coal miners who had been engaged in occupational dust exposure for more than 20 years were selected as the dust-exposed group, and four coal miners who were not exposed to dust at work were selected as the control group using the judgment sampling method. Pharyngeal secretions of the coal miners were collected with throat swabs, and its pharyngeal microbiota was analyzed. The diversity, abundance and evenness of the microbiota were analyzed by gene sequencing using the 16sRNA gene high-throughput sequencing technology. Results A total of 254 operational taxonomic units of pharyngeal microbiota were detected in the coal miners in the control group, which was 210 more than that in the dust-exposed group. The Chao1 index, Shannon index, PD-tree index and Pielou index of pharyngeal microbiota in the dust-exposed group decreased compared with the control group (all P<0.01). The abundance of Bacteroidetes and Clostridum, at the phylum level, in the pharynx of coal miners in the dust-exposed group was higher than that in the control group (all P<0.05). The abundance of Prevotella, Neisseria, and Monas, at the genus level, in the pharynx of coal miners in the dust-exposed group was higher than that in the control group(all P<0.05), while the abundance of Lactobacillus decreased (P<0.05). The analysis results of the receiver operating characteristic curve showed that Lactobacillus, Fusobacterium and Rothia may play a role for pharyngeal microbiota imbalance prediction in dust-exposed workers, and the area under the curves were all 1.00±0.00. Conclusion The species diversity and evenness of pharyngeal microbiota in coal miners exposed to dust are decreased, which may be related to the continuous inhalation of coal dust that disrupts the microbial environment of the throat.