Pulmonary hypertension (PH), marked by sustained elevation of pulmonary artery pressure, imposes a heavy burden on the right ventricle and may culminate in right heart failure. Its pathogenesis is multifaceted, encompassing endothelial dysfunction, vascular smooth muscle proliferation, inflammation, thrombosis, and genetic factors. Animal models serve as core tools for exploring PH mechanisms and therapies, each with unique strengths and limitations. The single-dose monocrotaline (MCT) model is one of the most commonly used experimental animal models of PH and is widely applied in mechanistic studies, drug screening, and efficacy evaluation; it offers simplicity and cost-effectiveness, can induce PH within a short period, yet its pathophysiology differs to some extent from human idiopathic PH. In contrast, the Sugen5416 combined with chronic hypoxia model better mimics PH progression by placing animals under hypoxic conditions to induce pulmonary vasoconstriction and vascular remodeling, but it requires a longer modelling time, and the degree of hypoxia has a substantial impact on experimental outcomes. Beyond these two commonly used modeling approaches, a variety of emerging techniques have been applied in PH research; gene-editing technologies enable precise investigation of specific gene functions in PH. Additionally, induced pluripotent stem cell-based 3D organoid technology allows for individualized modelling while preserving patients' genetic information for precise clinical translation. Each model or technology can simulate different aspects of the pathological processes of human PH, and their findings provide key insights into the nature of the disease and serve as an important platform for the development of novel therapeutic targets. This paper comprehensively describes various animal models and emerging technologies used in PH research, analyzing their characteristics, applications, and limitations, with the aim of providing experimental and technical support for the development of new therapeutic strategies and drugs.

The modern Silk Road spirit advocating for win-win cooperative partnerships, aligns with the target of the “Belt and Road” Initiative, which provides new opportunities for collaboration on tropical disease control among countries along the “Belt and Road”. The modern Silk Road spirit may effectively facilitate tropical disease control programmes and improve disease control concepts and approaches through collaborative research, information sharing, infrastructure development, and joint efforts in pharmaceuticals and vaccine development; however, there are still multiple challenges that require to be overcome, including political and cultural differences, and data sharing. Therefore, countries participating in the “Belt and Road” Initiative need to work together with mutual respects, build effective collaborative mechanisms and improve communications to jointly facilitate the sustainable development of global tropical disease control programmes and cultural exchange, so as to contribute to global health and prosperities. This article discusses the contribution of the modern Silk Road spirit to facilitating global tropical disease control programmes in the context of the “Belt and Road” Initiative.

In the context of rapid global aging, the number of vulnerable elderly individuals who are sensitive to climate change and air pollution is increasing rapidly, potentially augmenting the burden of related diseases. The intrinsic capacity (IC) of the elderly refers to the comprehensive ability of individuals in physical, cognitive, and mental health aspects, typically encompassing 5 dimensions: cognitive status, motor ability, mental health, sensory function, and vitality. This article reviewed the advancements in epidemiological research on the effects of air pollution and climate change (including meteorological factors) on the overall intrinsic capacity of the elderly and its various dimensions. The results indicated that pollutants such as fine particulate matter (PM_2.5) and ozone (O₃) are most significantly associated with the decline in the cognitive function and vitality dimensions, and extreme meteorological events like high temperatures are also related to the functional deterioration of each dimension of IC. Nevertheless, the current studies mostly focus on the impact of atmospheric environmental factors on a specific dimension of IC rather than on overall IC, and research on the combined exposure to multiple atmospheric factors is even rarer, and the exploration of associated mechanisms is insufficient. Future research should enhance the investigation of the influence and mechanism of the combined exposure to air pollution and climate change on the dynamic changes of IC, and promote multi-center research and transnational cooperation. This review is conducive to clarifying the potential impact of atmospheric environmental factors on the IC of the elderly, providing a scientific basis for formulating health intervention policies to address climate change and air pollution.

The rupture of carotid vulnerable plaques is the core pathological basis for major cardiovascular and cerebrovascular events. However， the insufficient alignment between existing animal models and the clinical disease and syndrome characteristics of traditional Chinese and western medicine has limited research progress. In this study， biomedical databases in China and abroad were systematically searched， and the modeling mechanisms and evaluation systems of carotid vulnerable plaque animal models were systematically assessed based on diagnostic criteria of both traditional Chinese and western medicine. Analysis of the clinical correspondence indicated that existing animal models can be categorized into four types： simple high-fat diet， surgical induction combined with high-fat feeding， genetic engineering combined with high-fat feeding， and drug induction combined with high-fat feeding. Among these， the compound strategy of surgical induction combined with high-fat feeding has become the current mainstream approach， showing good concordance with western medicine. The study found that the double balloon injury rabbit model and the ApoE^-/- mouse carotid artery tandem constriction combined with high-fat feeding model demonstrated a high degree of clinical correspondence with both traditional Chinese and western medicine in terms of vulnerable plaque imaging and pathological features. Nevertheless， existing models still face significant technical limitations in faithfully simulating plaque pathology and in translating findings to clinical applications. To address these challenges， integrating complex comorbidity mechanism construction， multimodal dynamic mechanism monitoring， and collaborative evaluation systems of traditional Chinese and western medicine could enable the development of highly concordant carotid vulnerable plaque disease-syndrome combination animal models. Such models would provide a reproducible experimental platform for targeted drug development to regulate plaque stability and for individualized precision treatment， as well as a theoretical basis for innovation in clinical diagnostic and therapeutic strategies.

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Allergen specific immunotherapy（AIT）, as an effective treatment for allergic rhinitis, asthma, and other allergic diseases, has received widespread attention in the field of health economic evaluation in recent years. This article reviews the current status and progress of economic research on AIT, mainly discussing the socioeconomic burden of allergic rhinitis, the results of health economic studies from different countries, and the primary methods used in health economic research on allergic rhinitis. Existing studies indicate that, although AIT involves high initial costs, it offers significant long-term economic benefits by reducing healthcare resource utilization, improving patient quality of life, and decreasing medication dependence. Moreover, reducing initial costs, applying standardized assessment tools, and conducting cross-national comparative analyses have become key directions for future research. Overall, AIT demonstrates strong potential in terms of long-term health benefits and cost savings, providing solid economic evidence for the management of allergic diseases.
Humans ; Desensitization, Immunologic/economics* ; Cost-Benefit Analysis ; Rhinitis, Allergic/economics* ; Economics, Medical

OBJECTIVES: To investigate the role of ferroptosis in diquat-induced acute kidney injury (AKI) and its molecular mechanisms. METHODS: Transgenic zebrafish models with Tg (Eco.Tshb:EGFP) labeling of the renal tubules and Tg (lyz:dsRed2) labeling of the neutrophils were both divided into control group, gentamicin (positive control) group, diquat poisoning group, ferroptosis inhibitor group. The indicators of kidney injury, inflammatory response, and ferroptosis were examined in the zebrafish, and the changes in expressions of voltage-dependent anion-selective channel protein 1 (VDAC1) and mitochondrial ferritin (FTMT) were detected using Western blotting. RESULTS: AKI induced by diquat exhibited a significant dose-effect relationship, and the severity of injury was proportional to the exposure concentration. Diquat also caused marked oxidative stress and inflammatory responses in the zebrafish models. Rhodamine metabolism assay and HE staining revealed significantly declined glomerular filtration function of the zebrafish as diquat exposure concentration increased. Immunofluorescence staining highlighted significant changes in the expressions of ferroptosis markers GPX4 and FTH1 in zebrafish renal tissues following diquat exposure. In diquat-exposed zebrafish, treatment with ferrostatin-1, a ferroptosis inhibitor, obviously upregulated GPX4 and downregulated FTH1 expressions and improved the metabolic rate of glucan labeled with rhodamine B. Diquat exposure significantly upregulated the expression of VDAC1 and FTMT in zebrafish, and the application of ferrostatin-1 and VBIT-12 (a VDAC1 inhibitor) both caused pronounced downregulation of FTMT expression. CONCLUSIONS Ferroptosis is a critical mechanism underlying diquat-induced AKI, in which VDAC1 and FTMT play important regulatory roles, suggesting their potential as therapeutic target for AKI caused by diquat.
Animals ; Zebrafish ; Ferroptosis/drug effects* ; Acute Kidney Injury/chemically induced* ; Diquat/toxicity* ; Animals, Genetically Modified ; Voltage-Dependent Anion Channel 1/metabolism* ; Ferritins/metabolism* ; Oxidative Stress

Anxiety disorder is a major symptom of autism spectrum disorder (ASD) with a comorbidity rate of ~40%. However, the neural mechanisms of the emergence of anxiety in ASD remain unclear. In our study, we found that hyperactivity of basolateral amygdala (BLA) pyramidal neurons (PNs) in Shank3 InsG3680 knock-in (InsG3680^+/+) mice is involved in the development of anxiety. Electrophysiological results also showed increased excitatory input and decreased inhibitory input in BLA PNs. Chemogenetic inhibition of the excitability of PNs in the BLA rescued the anxiety phenotype of InsG3680^+/+ mice. Further study found that the diminished control of the BLA by medial prefrontal cortex (mPFC) and optogenetic activation of the mPFC-BLA pathway also had a rescue effect, which increased the feedforward inhibition of the BLA. Taken together, our results suggest that hyperactivity of the BLA and alteration of the mPFC-BLA circuitry are involved in anxiety in InsG3680^+/+ mice.
Animals ; Prefrontal Cortex/metabolism* ; Basolateral Nuclear Complex/metabolism* ; Mice ; Anxiety/metabolism* ; Nerve Tissue Proteins/genetics* ; Male ; Gene Knock-In Techniques ; Pyramidal Cells/physiology* ; Mice, Transgenic ; Neural Pathways/physiopathology* ; Mice, Inbred C57BL ; Microfilament Proteins