Stroke ranks as the third leading cause of death and the fourth leading cause of disability worldwide. Its high disability rate and prolonged recovery period not only severely impact patients' quality of life but also impose a significant burden on families and society. Primary prevention is the cornerstone of stroke control, as early intervention on risk factors can effectively reduce its incidence. Therefore, the development of predictive models for first-ever stroke risk holds substantial clinical value. In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. Second, there is a need to diversify data types and optimize model architectures to construct more comprehensive and precise predictive models. Lastly, particular attention should be given to the clinical validation of models in real-world settings. This not only enhances the robustness and generalizability of the models but also promotes physicians' understanding of predictive models, which is crucial for their application and dissemination.

To develop a novel polyamino acid-based nanohydrogel drug delivery system for dexamethasone to enhance its delivery efficiency to the inner ear.

Parkinson’s disease （PD） is a common neurodegenerative disease with a high incidence rate in the elderly population， and its complex pathogenesis involves α-synuclein misfolding and aggregation， mitochondrial dysfunction， neuroinflammation， and oxidative stress， resulting in different impairments of motor and non-motor symptoms and a bad influence on the quality of life of patients. White matter lesion （WML） is a neurodegenerative disease caused by damage to myelin sheath tissue in the central nervous system of the brain， with the pathogenesis of endothelial damage， hypoperfusion of brain white matter， and impairment of blood-brain barrier. WML causes varying degrees of impairment in postural instability， gait disturbance， and motor retardation in PD patients and exerts a certain degree of negative effects on cognitive function and sleep， anxiety， depression， and autonomic nervous function in PD patients. This article reviews the pathogenesis of PD and WML and the damage or influence of WML on the motor and non-motor symptoms of PD， in order to elaborate on the association between WML and PD.
Parkinson Disease

The modernization of the governance system for traditional Chinese medicine （TCM） constitutes the institutional cornerstone for advancing the high-quality development of the TCM sector in China. Drawing on focus group discussions with TCM administrative leaders， experts， and scholars who examined the connotations， implementation pathways， problems， and challenges associated with the modernization of TCM governance and governance capacity， this study employed a constructivist grounded theory methodology. Through systematic procedures including initial coding， focused coding， axial coding， and theoretical coding， the study develops a theoretical framework for the modernization of the TCM governance system， with "governance goals - governance philosophy - collaborative governance - institutional systems" as the core. Building upon this framework， the study proposes several implementation strategies for modernizing TCM governance system， such as prioritizing people's health， fostering cultural confidence in TCM， enhancing multi-stakeholder collaboration， and comprehensively improving the institutional architecture of TCM. These findings offer theoretical insights to support the advancement of a modernized TCM governance system.

BACKGROUND:Bone transport has been used for a variety of reasons in bone defects with good clinical results.However,various complications have also attracted the attention of practitioners and the avoidance of non-healing of the docking point has become a common concern for doctors and patients. OBJECTIVE:To explore effective methods of avoiding non-healing of the docking point in the treatment of tibial bone defects by bone transport so as to shorten the treatment period and reduce the pain of patients. METHODS:The clinical data of 21 patients with unilateral tibial bone defect admitted to the No.910 Hospital of Joint Logistics Support Force of Chinese PLA from January 2018 to January 2021 were retrospectively analyzed,including 16 males and 5 females,aged(32.8±10.3)years,with an average bone defect length of 10.2 cm.All 21 patients received bone transport surgery,during which the bone defect area was filled with bone cement to reduce the adverse factors affecting the healing of the docking point.The Association for the Study and Application of the Methods of Ilizarov,healing index and incidence of adverse reactions were evaluated during postoperative follow-up. RESULTS AND CONCLUSION:The 21 patients were followed up for 15 to 24 months after surgery,and the extended area was all well mineralized and had no malformations,and no refractures occurred during treatment.Among them,one patient had foot drop,which could not be completely corrected after surgical release of the Achilles tendon and wearing foot and ankle orthotics.19 patients had different degrees of needle tract infection,and no deep infection occurred after timely needle tract nursing.The healing rate of the docking point was 100%;the healing index was 36-45 d/cm and the average was 38 d/cm.The Association for the Study and Application of the Methods of Ilizarov showed that bone healing was excellent in 17 cases(81%)and poor in 4 cases(19%).The results of limb function were excellent in 18 cases(86%)and good in 3 cases(14%).These findings show that bone cement segmental filling during bone transport is an effective method to solve the non-healing of the docking point,shorten the patient's treatment period and reduce the patient's pain.

Rare diseases have a significant and profound impact on society, the economy, and the healthcare system. The path to developing drugs for rare diseases is particularly arduous. Due to the small number of patients and limited market demand, pharmaceutical companies don′t have enough incentives and resources to invest in drug research and development. Additionally, the long development cycles, high costs, and high risks have led to a number of potential therapeutic drug failures at the early stages of development. This article summarizes a series of encouraging policies adopted by the National Medical Products Administration for rare diseases, which is an important public health issue, as well as the achievements in the review and approval of rare disease drugs in recent years. These policies have accelerated the approval process. Meanwhile, the policies ensure the safety and effectiveness of drugs and offer more treatment options and hopes to patients with rare diseases. With the continuous effort at optimizing the policy environment and the advancement of research and development technologies, China′s drug regulatory authorities will continue to focus on the clinical needs of rare diseases, to implement " patient-centered " approach to drug development, inject new vitality into the research and development of drugs of rare diseases, and offer more precise and effective treatment choices for patients with rare diseases.

Magnetic cell sorting technology is a highly specific and rapid cell sorting technology using superparamagnetic nanocomposites for cell sorting, which is widely used in immunology, stem cytology, oncology, clinical medicine and other fields. Magnetic cell sorting technology is divided into positive isolation, negative isolation/untouched cell isolation, depletion, multi-step isolation and automated cell separation systems. In this review, we firstly give a brief introduction to the classification and application of magnetic cell sorting technology, then discuss several new techniques and challenges based on magnetic cell sorting in recent years, such as improving the sorting efficiency by improving the structure of magnetic materials and magnetic field structure. The necessity of biological evaluation of magnetic cell sorting products was emphatically analyzed. Through the biological evaluation, the advantages and disadvantages of magnetic cell sorting products can be understood, and the research and development ability could be improved. Therefore, 10 biological evaluation technical parameters related to magnetic cell sorting products were proposed: yield, purity, sterility, cytotoxicity, cell morphology, viability, light scattering characteristics of cells, fluorescent antibody labeling ability of cells, cell activation and cell proliferation. The 10 biological evaluation technical parameters play an important role in promoting the standardized application of magnetic cell sorting.

In environmental epidemiological research, extensive non-random environmental exposures and complex confounding biases pose significant challenges when attempting causal inference. In recent years, the introduction of causal inference methods into observational studies has provided a broader range of statistical tools for causal inference research in environmental epidemiology. The instrumental variable (IV) approach, as a causal inference technique for effectively controlling unmeasured confounding factors, has gradually found application in the field of environmental epidemiological research. This article reviewed the basic principles of IV and summarized the current research progress and limitations of applying IV for causal inference in environmental epidemiology. IV application in the field of environmental epidemiology is still in the initial stage. Rational use of IV and effective integration with other causal inference methods will become the focus of the development of causal inference in environmental epidemiology. The aim of this paper is to provide a methodological reference and basis for future studies involving causal inference to target population health effects of environmental exposures in China.

Taking the aging population of Nanjing as an example,through the method of constructing actuarial models,this paper predicts and analyzes the impact of the reform of outpatient mutual aid security mechanism on the income and expenditure of the overall planning funds of workers'medical insurance in Nanjing during 2021-2035,and simulates the impact of policies such as delaying retirement,expanding financing and reforming payment methods on improving the sustainability of medical insurance funds.Based on this,it proposes policy suggestions.The study finds that under the current outpatient mutual aid security plan,by 2032,the overall planning funds of workers'medical insurance in Nanjing will face the risk of running out;compared with the current policy,implementing the same retirement age for men and women will delay the time point of accumulated deficits by one year;implementing the policy of expanding financing,after both employed and retired workers pay contributions to the overall planning funds,the overall planning funds will eliminate the risk of deficits in the medium term;implementing the policy of reforming payment methods can also make the overall planning funds sustainable in the medium term.Therefore,it is concluded that the reform of outpatient mutual aid security implemented in the context of aging population may lead to payment pressure on the overall planning funds.In the long run,a combination of various supporting policies is needed to achieve sustainable development of the overall planning funds.

A high-throughput three-dimensional (3D) hepatocyte culture model is constructed in this study. It is capable of replicating the 3D in vivo environment and offers the advantages of high throughput, enhanced reproducibility, low cost, and simplified operation, rendering a valuable tool for hepatotoxicity screening of traditional Chinese medicine (TCM). First, we constructed the 3D high throughput liver chip model using collagen hydrogel. The precision and its difference with traditional cell culture plates were assessed using acetaminophen, Tripterygium hypoglaucum, and Qili San as the references. The feasibility of this model was also investigated by comparing the hepatotoxicity among four batches of T. hypoglaucum and Qili San. The methodology verification shows that the 3D hepatocyte model is better than traditional two-dimensional (2D) cell culture model in precision and feasibility. Subsequently, we compared the hepatotoxicity of different samples over a period of three or seven days and found that the hepatotoxicity of TCM extracts increased over time. Finally, we compared the hepatotoxicity of T. hypoglaucum and its compound formula Kunxian capsule under equivalent concentration. The results showed that the compound Kunxian capsule could significantly reduce hepatotoxicity of T. hypoglaucum. Generally, we constructed a high-throughput, robust 3D liver-on-a-chip model with the potential of rapid assessing TCM-induced liver toxicity.