Diseases of the central nervous system have become a growing global health concern. At present， there are many adverse reactions in the treatment with Western medicine. In contrast， traditional Chinese medicine has shown unique efficacy and rich clinical practice accumulation in diseases of the central nervous system. As a traditional Chinese medicine， Bupleuri Radix has played an important role in the treatment of neurological diseases through multi-target regulation， multi-pathway intervention， and multi-pathway mechanism of action. In recent years， with the in-depth study of the pharmacological effects of Bupleuri Radix， it has been found that the active ingredients such as saikosaponin， baicalin， quercetin， and kaempferol in Bupleuri Radix can be used as the main material basis for the treatment of neurological diseases. The results of this study showed that in neurodegenerative diseases， active ingredients of Bupleuri Radix can inhibit β-amyloid （Aβ） deposition and abnormal phosphorylation of microtubule-associated protein （Tau protein） in Alzheimer's disease， regulate the nuclear factor-κB/nuclear factor E₂ related factor 2 （NF-κB/Nrf2） pathway to play the anti-inflammatory role， and alleviate α-Synuclein （α-Syn） aggregation and mitochondrial damage in Parkinson's disease. In epilepsy， depression， and cerebral ischemia， they can improve symptoms by regulating neurotransmitters， oxidative stress， and apoptosis pathways， and inhibit brain glioma proliferation. However， the mechanism of action has not been fully elucidated， and the complexity of compound components and poor blood-brain barrier penetration limit their clinical application. In the future， it is necessary to integrate multi-omics， network pharmacology， and nano-delivery technologies， focus on the optimization of active ingredient group compounds and the precise guidance of biomarkers， accelerate the development of innovative therapies for Alzheimer's disease， Parkinson's disease， and other diseases for laying a solid theoretical foundation for further development and application and inspiring new research ideas.

BACKGROUND Sepsis is a highly heterogeneous organ dysfunction syndrome. There is limited evidence regarding phenotypes and clinical outcomes in sepsis patients with initial normal lactate levels. We sought to identify the lactate-based clinical phenotypes and outcomes of sepsis patients. METHODS: The Medical Information Mart for Intensive Care IV (MIMIC-IV) and eICU databases were used to conduct a retrospective cohort study. Adult sepsis patients were included. Lactate was measured via blood gas, and the same assay type was used across both databases. Serial lactate measurements were analyzed via a two-point classification system based on the highest values recorded during two consecutive 24-hour periods following ICU admission. The first measurement window (T1) comprised the initial 24 h post-admission, whereas the second window (T2) covered 24-48 h post-admission. The lactate difference was defined as the numerical change between the highest lactate level at T2 and the highest level at T1. The time interval between these two measurements was fixed, with T2 commencing immediately after T1, together encompassing the first 48 h post-ICU admission. A normal lactate level was defined as ≤2 mmol/L, and an elevated level was defined as >2 mmol/L. Sepsis patients were stratified into four trajectory phenotypes: (1) normal‒normal (N‒N); (2) normal-elevated (N‒E); (3) elevated-normal (E‒N); and (4) elevated-elevated (E‒E). The primary outcome was in-hospital mortality. RESULTS: This study enrolled 6,926 sepsis patients. The clinical phenotypes of the sepsis patients were as follows: N‒N (24.4%), N‒E (3.8%), E‒N (36.4%), and E‒E (35.3%). The in-hospital mortality rates of sepsis patients with the four phenotypes from the MIMIC-IV and eICU databases were as follows (N‒N: 18.9% vs. 17.6%, P=0.66; N‒E: 35.3% vs. 29.2%, P=0.45; E‒N: 16.6% vs. 14.2%, P=0.14; E‒E: 43.6% vs. 37.8%, P=0.01). After adjusting for age, sex, Sequential Organ Failure Assessment (SOFA) score, vasopressor therapy, and infection sites, the N‒E phenotype was associated with a higher risk of in-hospital mortality (odds ratio [OR] 1.44; 95% confidence intervals [95% CI] 1.11-1.86; P=0.006; adjusted OR 1.61; 95% CI 1.23-2.11; P<0.001). The E‒N phenotype was associated with the most favorable outcomes for in-hospital mortality in the multivariable analysis (adjusted OR 0.41; 95% CI 0.36-0.46; P<0.001). The E‒E phenotype was associated with the highest risk of in-hospital mortality in the overall cohort (adjusted OR 3.00; 95% CI2.67-3.37; P<0.001). CONCLUSION: In sepsis patients with normal initial lactate levels, serial lactate measurements could be valuable for prognostic assessment.

AIM: To investigate the impact of corneal fluorescein sodium(NaF)staining on the examination results of iTrace visual function analyzer(iTrace).METHODS: Prospective cohort study. Totally 100 patients(100 eyes)with ametropia who visited the outpatient department of Anhui Eye Hospital from April to November 2024 were recruited. They were divided into an experimental group and a control group, with 50 patients(50 eyes, and only the right eyes were selected for inclusion)in each group. In the experimental group, corneal staining was performed using fluorescein sodium staining test strips, while in the control group, 1 drop of 0.9% normal saline was instilled into the eyes. The iTrace examination was conducted before the intervention and at 5, 10, and 20 min after the intervention. The total corneal higher-order aberrations, spherical aberration, coma aberration, trefoil aberration, best sphere value(RO value), asphericity factor(Q value), and corneal vertical refractive power difference(IS value)at each time of examination were recorded and compared.RESULTS: There was no statistically significant difference in the baseline levels between the two groups(all P>0.05). Intra-group comparison revealed that the total higher-order aberrations, spherical aberration, coma aberration, and trefoil aberration measured 5 min after NaF staining in the experimental group were significantly increased compared with those before staining(all P<0.05). Inter-group comparison showed that the changes(differences from the baseline)in the total corneal higher-order aberrations, spherical aberration, coma aberration, and trefoil aberration measured by iTrace 5 min after the intervention in the experimental group were significantly greater than those in the control group(all P<0.05). There was no statistically significant difference in the changes(differences from the baseline)of various iTrace parameters measured at 10 and 20 min after the intervention between the two groups(all P>0.05). There was no statistical significance in the RO value, Q value, and IS value in the two groups(all P>0.05).CONCLUSION: Corneal NaF staining can cause a short-term increase in the wavefront aberration values(total corneal higher-order aberrations, spherical aberration, coma aberration, trefoil aberration)measured by iTrace, and it gradually disappears with the passage of time. However, it has no impact on the measurement of corneal topography parameters(RO value, Q value, IS value).

Background When live working line operators engage in upper limb operations, working for a long time with raising arms and the exposure to adverse ergonomic factors tend to increase muscle load, cause fatigue accumulation, and increase the risk of work-related musculoskeletal disorders (WMSDs). Objective To analyze work posture and associated muscle fatigue during executing breaking/connecting contact terminal, and identify adverse ergonomic factors of the work process. Methods This study recruited 10 volunteers to perform breaking/connecting contact terminal simulation. At a distance of 4.5, 3.5, and 2.5 m from the body to the wire, each performed the task 5 times. Visual 3D was used to analyze the kinematic data from motion capture. The surface electromyography (sEMG) signals of the deltoid, biceps, triceps, and brachioradialis were recorded during the simulation and analyzed for muscle fatigue using root mean square (RMS), median frequency (MF), and jointed EMG amplitude and spectrum analysis (JASA). After completion of each task, Borg scale was used to query the volunteers of their subjective fatigue. A 2-min rest was required between each distance. Results The kinematic data from motion capture showed that in the entire process of the task, the right upper limb was higher when lifting, with the right shoulder joint maintaining flexion and fluctuating periodically between abduction and adduction, external and internal rotation, the right elbow joint maintaining flexion and supination. The frequency of task cycle showed a significant effect on the Borg scale scores (P<0.001, partial \begin{document}$ {\eta }^{2} $\end{document}=0.464); the distance showed no significant effect on the Borg scale scores (P>0.05, partial \begin{document}$ {\eta }^{2} $\end{document}=0.002); their interaction effect was not significant (P>0.05, partial \begin{document}$ {\eta }^{2} $\end{document}=0.020). The results of the sEMG signals showed that at a distance of 4.5 m, the volunteers had the highest percentages of maximal voluntary electrical activation (MVE%) in the deltoid and right brachioradialis and the lowest MF values in the deltoid and left brachioradialis after completing 5 task cycles. The results of JASA showed that fatigue was observed in brachioradialis and deltoid after completing 5 task cycles at a distance of 4.5 m, the right deltoid and right brachioradialis at a distance of 3.5 m, in the brachioradialis, deltoid, and left bicep at a distance of 2.5 m. Conclusion The subjective fatigue of workers who engaged in breaking/connecting contact terminal elevates with more repetitive operations. Based on the sEMG and motion capture analysis, it can be found that improper distance between the workers and the target work area can increase the burden from poor posture and improper use of work equipment, and lead to muscle fatigue; the deltoid and brachioradialis are the key muscles of fatigue in this type of operation; changing the angle of the elbow joint and the shoulder joint during the process of the operation can affect the deltoid and brachioradialis exertion and loading.

Background Power grid is an important component of the national infrastructure. The occupational health issues among the workers in this industry are attracting great concern nationwide. Objective To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in neck and shoulder among the power distribution workers of power supply enterprises, and analyze the related influencing factors. Method In April 2023, a total of 1244 workers in 50 municipal power supply bureaus were randomly selected from the three provinces under China Southern Power Grid using cluster sampling method. The questionnaire used in the study was based on a revised Musculoskeletal Disorders Questionnaire and added ergonomic load of upper limb work. \begin{document}$ {\chi }^{2} $\end{document} test and logistic regression model were used to explore the influencing factors of neck pain and shoulder pain among the subjects. Results A total of 1244 valid questionnaires were recovered and the effective recovery rate was 90.87%(1244/1369). The positive rates of neck pain and shoulder pain were 45.5% (566 cases) and 36.3% (452 cases) respectively. The logistic regression analysis results showed that more than 20 years working age (OR=2.27, 95%CI: 1.39, 3.96; OR=2.56, 95%CI: 1.53, 4.26), often (OR=2.08, 95%CI: 1.35, 3.20; OR=2.40, 95%CI: 1.50, 3.58)/quite often (OR=2.96, 95%CI: 1.73, 5.04; OR=2.72, 95%CI: 1.49, 4.94) maintaining a forced posture, and working immediately after break (OR=1.72, 95%CI: 1.04, 2.85; OR=2.14, 95%CI: 1.19, 3.88) were associated with a higher positive rate of neck pain and shoulder pain respectively. Feeling sufficient rest (OR=0.61, 95%CI: 0.47, 0.80; OR=0.63, 95%CI: 0.50, 0.83) and opportunity to decide when to take breaks (OR=0.72, 95%CI: 0.53, 0.98; OR=0.62, 95%CI: 0.41, 0.93) were associated with a lower positive rate of neck pain and shoulder pain respectively. Conclusion The positive rates of neck pain and shoulder pain are high among power distribution workers. The main influencing factors included long working age, quite often maintaining a forced posture, and working immediately after break.

Under the current legal framework， living will， as an important legal tool for safeguarding patients’ autonomy and dignity， have been widely recognized and implemented in many countries and regions. In China， the promotion of living will also has a solid legal foundation， with their legitimacy reflected in several provisions of the Civil Code of the People’s Republic of China. One of the highlights of the Medical Regulations of the Shenzhen Special Economic Zone （revised in 2022） is the clarification of the legal effect of living will. To ensure that patients’ living will can be accurately implemented at critical moments， the rights and obligations of patients， family members， and healthcare professionals should be clearly defined within the legal framework， and clear guidance should be provided at every stage of implementation.

Chronic pancreatitis （CP） is a chronic disease characterized by recurrent inflammation and progressive damage to pancreatic tissue， and its deterioration may increase the risk of pancreatic cancer in patients with CP， which seriously threatens the health of patients with CP. In recent years， studies on the pathogenesis of CP have mostly focused on the activation of pancreatic stellate cells （PSCs） and its role in pancreatic fibrosis. This article elaborates on the mechanism of action of PSCs in CP， summarizes the current status of research on effective traditional Chinese medicine components and prescriptions for intervention of PSCs in the treatment of chronic CP， and proposes the future research directions for effective traditional Chinese medicine components and prescriptions， so as to provide a reference for the clinical treatment of CP patients in the future.

Objective: To explore the prospective association between multidimensional sleep indicators and the risk of newlyonset dental caries, providing a reference for childrens oral healthrelated sleep intervention. Methods: In October 2021, 1 417 students in grades 1 to 4 (aged 6 to 11) from two elementary schools in Bengbu, Anhui Province, were selected by cluster sampling method. Surveys and followup visits were conducted at baseline (T1), November 2022 (T2), May 2023 (T3), and November 2023 (T4), respectively, including parental questionnaires, oral health and physical examination. Bedtime, sleep duration, sleep midpoint, social jet lag, weekend catchup sleep, and sleep habits were collected and calculated. A multifactorial Cox proportional risk regression model was used to analyze the association between multidimensional sleep indicators and newlyonset caries in schoolaged children after 2 years. Results: The prevalence of dental caries in children was 65.1% at baseline, and the prevalence was 59.0% at the end of the 2year followup. Cox proportional risk regression model showed that for every 1point increase in the childrens bedtime resistance, nocturnal awakenings, parasomnias, and daytime sleepiness scores, the risk of newlyonset caries increased by 12% (HR=1.12, 95%CI=1.08-1.15), 22% (HR=1.22, 95%CI=1.15-1.29), 12% (HR=1.12, 95%CI=1.08-1.17), and 15% (HR=1.15, 95%CI=1.12-1.19), respectively; the risk of newlyonset caries increased by 23% for each 1 h increase in the length of weekend catchup sleep (HR=1.23, 95%CI=1.14 -1.33); compared with children who went to bed before 21:00 on school days, those who went to bed later than 22:00 had a 57% higher risk of newlyonset caries (HR=1.57, 95%CI=1.22-2.03). Compared to children who slept adequately (≥9 h/d), those with insufficient sleep had a 67% higher risk of new caries (HR=1.67, 95%CI=1.43-1.95) (P<0.01). Conclusions These findings suggest a significant association between sleep patterns/sleep disorders and the development of childhood dental caries. Incorporating sleep behavior optimization and sleep quality improvement into comprehensive caries prevention and oral health management protocols may represent a promising intervention strategy to enhance childrens oral health outcomes.

Tumors are the second leading cause of death worldwide. Exosomes are a type of extracellular vesicle secreted from multivesicular bodies, with particle sizes ranging from 40 to 160 nm. They regulate the tumor microenvironment, proliferation, and progression by transporting proteins, nucleic acids, and other biomolecules. Compared with other drug delivery systems, exosomes derived from different cells possess unique cellular tropism, enabling them to selectively target specific tissues and organs. This homing ability allows them to cross biological barriers that are otherwise difficult for conventional drug delivery systems to penetrate. Due to their biocompatibility and unique biological properties, exosomes can serve as drug delivery systems capable of loading various anti-tumor drugs. They can traverse biological barriers, evade immune responses, and specifically target tumor tissues, making them ideal carriers for anti-tumor therapeutics. This article systematically summarizes the methods for exosome isolation, including ultracentrifugation, ultrafiltration, size-exclusion chromatography (SEC), immunoaffinity capture, and microfluidics. However, these methods have certain limitations. A combination of multiple isolation techniques can improve isolation efficiency. For instance, combining ultrafiltration with SEC can achieve both high purity and high yield while reducing processing time. Exosome drug loading methods can be classified into post-loading and pre-loading approaches. Pre-loading is further categorized into active and passive loading. Active loading methods, including electroporation, sonication, extrusion, and freeze-thaw cycles, involve physical or chemical disruption of the exosome membrane to facilitate drug encapsulation. Passive loading relies on drug concentration gradients or hydrophobic interactions between drugs and exosomes for encapsulation. Pre-loading strategies also include genetic engineering and co-incubation methods. Additionally, we review approaches to enhance the targeting, retention, and permeability of exosomes. Genetic engineering and chemical modifications can improve their tumor-targeting capabilities. Magnetic fields can also be employed to promote the accumulation of exosomes at tumor sites. Retention time can be prolonged by inhibiting monocyte-mediated clearance or by combining exosomes with hydrogels. Engineered exosomes can also reshape the tumor microenvironment to enhance permeability. This review further discusses the current applications of exosomes in delivering various anti-tumor drugs. Specifically, exosomes can encapsulate chemotherapeutic agents such as paclitaxel to reduce side effects and increase drug concentration within tumor tissues. For instance, exosomes loaded with doxorubicin can mitigate cardiotoxicity and minimize adverse effects on healthy tissues. Furthermore, exosomes can encapsulate proteins to enhance protein stability and bioavailability or carry immunogenic cell death inducers for tumor vaccines. In addition to these applications, exosomes can deliver nucleic acids such as siRNA and miRNA to regulate gene expression, inhibit tumor proliferation, and suppress invasion. Beyond their therapeutic applications, exosomes also serve as tumor biomarkers for early cancer diagnosis. The detection of exosomal miRNA can improve the sensitivity and specificity of diagnosing prostate and pancreatic cancers. Despite their promising potential as drug delivery systems, challenges remain in the standardization and large-scale production of exosomes. This article explores the future development of engineered exosomes for targeted tumor therapy. Plant-derived exosomes hold potential due to their superior biocompatibility, lower toxicity, and abundant availability. Furthermore, the integration of exosomes with artificial intelligence may offer novel applications in diagnostics, therapeutics, and personalized medicine.

OBJECTIVE To analyze the risk factors contributing to piracetam-associated thrombocytopenia and develop a predictive model for risk prediction. METHODS The electronic medical record information of inpatients treated with piracetam was collected retrospectively from the First Affiliated Hospital of Guangxi Medical University from January 2021 to December 2023， including gender， age， underlying diseases， combined medication， and laboratory data， etc. Patients were divided into the occurrence group and the non-occurrence group according to whether thrombocytopenia occurred， and the differences in clinical data between the two groups were compared. The independent risk factors were determined through univariate/multivariate Logistic regression analysis. A nomogram was drawn to visually present the independent risk factors， and a risk prediction model was constructed. The predictive efficacy of the model was evaluated using the receiver operating characteristic （ROC） curve， Bootstrap internal validation and calibration curve. RESULTS A total of 224 patients were included， among which 196 cases were in the non- occurrence group and 28 cases in the occurrence group. The incidence of thrombocytopenia was 12.50%. The results of the univariate Logistic regression analysis showed that the proportion of patients using three or more combined antibiotics and the level of serum creatinine in the occurrence group were significantly higher than those in the non-occurrence group， while the level of hemoglobin was significantly lower （P＜0.05）. The results of the multivariate Logistic regression analysis revealed that the use of three or more combined antibiotics， low hemoglobin level and high serum creatinine level were independent risk factors for piracetam-associated thrombocytopenia （P＜0.05）. The constructed risk prediction model was LogitP＝ －1.114+1.256×three or more combined antibiotics－0.017×hemoglobin level+0.009×serum creatinine level. The AUC of the ROC curve of this model was 0.757， and the optimal cut-off value was 0.474； the AUC of the ROC curve of the Bootstrap internal validation was 0.733； the apparent curve and the bias-corrected curve were close to the ideal curve. CONCLUSIONS The use of three or more antibiotics， along with low hemoglobin level and high serum creatinine level， are identified as independent risk factors for piracetam-associated thrombocytopenia. The developed risk prediction model demonstrates good predictive value.