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.

AIM: To investigate the application value of pre-treatment tear inflammatory factor levels in predicting therapeutic efficacy for dry eye patients.METHODS:Prospective controlled observational study. A total of 120 patients with dry eye(240 eyes)admitted to our hospital from November 2022 to March 2024 were included. Before dry eye treatment, the levels of inflammatory factors, including interlukin-4(IL-4), IL-6, IL-8, IL-10, IL-12, IL-13, IL-15, IL-18, IL-1β, interferon-γ(IFN-γ), tumor necrosis factor-α(TNF-α), granulocyte-colony stimulating factor(G-CSF), granulocyte-macrophage colony-stimulating factor(GM-CSF), monocyte chemoattractant protein-1(MCP-1)in the tear fluid were detected by ELISA. According to the treatment protocol in the Chinese Expert Consensus on the Treatment of Dry Eye(2020), the patients were given treatments, and the related factors affecting the treatment outcomes of dry eye patients were analyzed.RESULTS:After continuous treatment for 4 wk, all the patients completed follow-up, and they were divided into the markedly effective group(60 patients, 120 eyes)and the ineffective group(60 patients, 120 eyes)based on their therapeutic effects. The markedly effective group had significantly lower pre-treatment levels of IL-6, IL-10, IL-18, IL-1β, and TNF-α than the poor efficacy group(all P<0.05). IL-6(OR=0.994), IL-18(OR=0.998), IL-1β(OR=0.933), and TNF-α(OR=0.998)were independently associated with treatment efficacy(all P<0.05). The nomogram model yielded a C-index of 0.971(95% CI: 0.950-0.993), with calibration curves closely aligned to the ideal curve. The model demonstrated significant predictive value for early therapeutic efficacy(sensitivity=96.67%, specificity=71.67%, cutoff=208, AUC=0.866, 95% CI=0.794-0.952, P<0.001).CONCLUSION:The nomogram model constructed based on the levels of inflammatory factors in dry eye patients before treatment can well predict the treatment effect of patients.

Nasopharyngeal carcinoma （NPC） is a malignant tumor originating from the mucosal epithelium of the nasopharynx. In recent years， its incidence and mortality rates have shown a continuous upward trend， and there is still a lack of therapeutic regimens with both favorable efficacy and safety in clinical practice. Mitogen-activated protein kinase （MAPK） signaling pathway plays a key regulatory role in biological processes such as cell proliferation， differentiation， apoptosis and invasion. It is widely involved in the occurrence and progression of NPC， and serves as an important target in the research field of anti-NPC therapy. This article systematically elaborates on the mechanism of action of the MAPK signaling pathway in NPC， and reviews the research status regarding the anti-NPC effect of active components of traditional Chinese medicine （TCM） and TCM compound prescriptions by regulating this signaling pathway. The results show that TCM active components， including flavonoids （luteolin， maackiain， baicalein， etc.）， alkaloids （picrasidine Ⅰ， tetrandrine， etc.）， terpenoids （bakuchiol， cantharidic acid）， as well as traditional Chinese medicine compound formulas （such as Biyan jiedu capsules and Yiqi jiedu formula） can exert effects including inducing autophagy and apoptosis of NPC cells， promoting pyroptosis， reversing drug resistance， blocking epithelial-mesenchymal transition， weakening cell stemness and arresting cell cycle progression by regulating the MAPK signaling pathway， thereby inhibiting the occurrence and development of NPC through multiple pathways.

ObjectiveTo explore the possible mechanisms of Modified Shoutai Pill （寿胎丸加味方， MSP） in treating polycystic ovary syndrome （PCOS） with hyperandrogenism， insulin resistance， and miscarriage， focusing on inflammatory response and endometrial receptivity. MethodsThirty female SPF-grade SD rats with regular estrous cycles and in proestrus， and 15 male SPF-grade SD rats were housed together in a 2∶1 ratio at 18：00. At 8：00 next morning， rats showing abundant sperm and vaginal plugs were considered pregnant on the day 0.5. The 30 pregnant rats were randomly divided into three groups， normal group， model group， and MSP group， with 10 rats in each group. From day 0.5 to day 13.5 of pregnancy， the MSP group was given 26.6 g/（kg·d） of the MSP via gavage twice a day for 14 consecutive days. The normal group and the model group received 4 ml of normal saline daily. From day 7.5 to day 13.5 of pregnancy， the rats in the model group and MSP group were intraperitoneally injected with dihydrotestosterone （DHT） and insulin （INS） for 7 consecutive days to establish a PCOS model with hyperandrogenism， insulin resistance， and miscarriage. On day 13.5 of pregnancy， an oral glucose tolerance test （OGTT） was performed to measure blood glucose levels at 0， 30， 60， 90， and 120 minutes. On day 14.5， serum level of progesterone （P₄）， estradiol （E₂）， fasting insulin （FINS）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α） were measured by ELISA. The insulin resistance index （HOMA-IR） was calculated. Embryo implantation， miscarriage rate， and average number of live fetuses were observed. Uterine tissue pathology was examined by HE staining， and mRNA expression of Il-6， Tnf-α， leukemia inhibitory factor （Lif）， homeobox gene 10 （Hoxa10）， prolactin family 8 subfamily A member 2 （Prl8a2）， and insulin-like growth factor-binding protein 1 （Igfbp1） in the uterine tissue was detected by qRT-PCR. ResultsCompared with the normal group， the model group had significantly higher blood glucose level at 0， 30， 60， 90， and 120 minutes， increased miscarriage rate， elevated HOMA-IR， decreased average number of live fetuses， lower level of P₄ and E₂， higher level of IL-6， TNF-α， and FINS， and higher mRNA expression of Il-6 and Tnf-α in the uterine tissue. The mRNA expression of Lif， Hoxa10， and Prl8a2 was reduced （P＜0.05 or P＜0.01）. The uterus had a dark red color， visible areas of bleeding， fewer embryos with developmental abnormalities， and increased placental necrosis. Pathological examination revealed thrombus in the decidual layer， unclear decidual cell morphology， loose arrangement， scattered distribution， edema degeneration in the cytoplasm， and nuclear shrinkage or disappearance， with extensive infiltration of inflammatory cells. In contrast， compared with the model group， the MSP group showed significantly lower blood glucose level at 0， 30， 60， 90， and 120 min， reduced miscarriage rate， lower HOMA-IR， increased number of live fetuses， higher level of P₄ and E₂， and lower level of IL-6， TNF-α， and FINS. The mRNA expression of Il-6 and Tnf-α in the uterine tissue was lower， while the expression of Lif， Hoxa10， and Prl8a2 mRNA was higher （P＜0.05 or P＜0.01）. There was significant improvement in uterine and embryo conditions， as well as in uterine tissue pathology. ConclusionThe MSP can reduce the miscarriage rate in a PCOS model with hyperandrogenism， insulin resistance， and miscarriage. Its mechanism may involve inhibiting inflammation， improving endometrial receptivity， and restoring the defects in endometrial decidualization.

Therapeutic apheresis (TA) is currently used for both hematological and non-hematological diseases. Due to its reliable efficacy, good safety, and simple operation, TA has been widely used in the clinical diagnosis and treatment of patients with refractory and severe diseases. From the operator's perspective, the successful completion of treatment largely depends on the appropriate vascular access. This review summarizes the background, development trends, types, advantages and disadvantages of vascular access during the TA process to guide clinical operation practice.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

Objective: o analyze the epidemic characteristics of five sexually transmitted diseases (STDs), including syphilis, gonorrhea, condyloma acuminatum, genital herpes and genital Chlamydia trachomatis infection in Yangzhou City, Jiangsu Province from 2019 to 2023, so as to provide the reference for the prevention and control strategies of STDs. Methods: Data of the onset time and diagnostic types of STDs cases in Yangzhou City from 2019 to 2023 were collected from the Infectious Disease Surveillance System of Chinese Disease Prevention and Control Information System. The temporal, regional and population characteristics of five types of STDs was analyzed using the descriptive epidemiological method. Results: A total of 10 895 cases of STDs were reported in Yangzhou City from 2019 to 2023, with an average annual reported incidence rate of 47.83/105. The average annual reported incidence rates of syphilis, gonorrhea, condyloma acuminatum, genital herpes and genital Chlamydia trachomatis infections were 41.11/105, 2.83/105, 2.59/105, 0.43/105 and 0.85/105, respectively. The reported incidence rate of STDs showed a decreasing trend from 2019 to 2023 (P<0.05), with an average annual growth rate of -3.44%. The reported incidence rates of syphilis and gonorrhea showed a decreasing trend (both P<0.05), with average annual growth rates of -4.26% and -6.47%, respectively. The reported incidence rate of genital Chlamydia trachomatis infection showed an increasing trend (P<0.05), with an average annual growth rate of 22.32%. Baoying County, Guangling District and Hanjiang District had the top three reported incidence rates of STDs, at 56.61/105, 55.61/105 and 46.50/105, respectively. The average annual reported incidence rate of STDs among males was higher than that among females (53.19/105 vs. 42.54/105, P<0.05). The STD cases were primarily people aged 50 years and above, with 6 641 cases accounting for 60.95%. The occupations of STD cases were mainly farmers, housekeepers and unemployed, with 4 670 and 3 273 cases accounting for 42.86% and 30.04%, respectively. Conclusions The overall reported incidence of STDs in Yangzhou City from 2019 to 2023 showed a downward trend, while the reported incidence of genital Chlamydia trachomatis infection showed an upward trend. The individuals aged 50 years and above, farmers, housekeepers and the unemployed were identified as high-risk groups for STDs.

Objective: To systematically evaluate the influencing factors for autism spectrum disorder (ASD) in Chinese children, so as to provide the evidence for risk prediction and intervention of ASD. Methods: The publications pertaining to the influencing factors for ASD in Chinese children were retrieved from CNKI, Wanfang Data, VIP, PubMed and Embase database from inception to August 2024. A meta-analysis was performed using R package version 4.4.1. Sensitivity analysis was performed using the "leave-one-out" evaluation procedure. Publication bias was assessed using Egger regression test. Results: A total of 38 high-quality articles out of 9 015 articles were finally included, covering 149 607 individuals, with 5 974 cases of ASD. The meta-analysis showed that demographic factors including family history of related diseases (OR=14.958), maternal age of ≥35 years (OR=2.287) and parental history of hazardous occupations (OR=3.511); pregnancy-related factors including history of abortion (OR=5.832), no folate supplementation before and during pregnancy (OR=4.566), tobacco exposure before and during pregnancy (OR=2.596), history of other adverse exposures before and during pregnancy (OR=3.533), history of infectious diseases during pregnancy (OR=3.753), history of non-infectious diseases during pregnancy (OR=2.563), psychological problems during pregnancy (OR=3.864), history of medication during pregnancy (OR=6.651), adverse environmental exposures during pregnancy (OR=3.754), severe pregnancy reactions (OR=5.082), abnormal perinatal period (OR=2.987), cesarean delivery (OR=1.659), other perinatal adverse factors (OR=3.856), history of neonatal asphyxia (OR=2.792) and neonatal jaundice (OR=3.687); parenting factors including non-exclusive breastfeeding (OR=2.510), early/excessive screen exposure (OR=3.589) and feeding problems (OR=3.113); and individual factors including being male (OR=3.333) and history of convulsions/epilepsy (OR=7.035) were influencing factors for ASD in Chinese children. Conclusions The prevalence of ASD in Chinese children is primarily associated with 23 influencing factors, including family history of related diseases, history of abortion, no folate supplementation before and during pregnancy, medication during pregnancy, early/excessive screen exposure and history of convulsions/epilepsy.

Objective: To investigate the awareness of knowledge about hepatitis C prevention and control among outpatients in Ningbo City, Zhejiang Province, and its influencing factors, so as to provide the evidence for strengthening health education on hepatitis C prevention and control. Methods: Based on sentinel surveillance of hepatitis C, the outpatients aged 15 to 65 years at seven hospitals in Yinzhou District, Cixi City and Xiangshan County of Ningbo City were selected using the convenient sampling method from April to June during 2020 and 2022. Demographic information, knowledge and behaviors related to hepatitis C prevention and control were collected through questionnaire surveys. The influencing factors for knowledge about hepatitis C prevention and control were analyzed using a multivariable logistic regression model. Results: A total of 2 792 participants were surveyed, including 1 157 males (41.44%) and 1 635 females (58.56%). The awareness rate of knowledge about hepatitis C prevention and control was 56.23%, and was lower in knowledge about hepatitis C vaccine and treatment. The awareness rates of knowledge about hepatitis C prevention and control among outpatients from 2020 to 2022 were 47.11%, 53.22% and 70.65%, respectively, showing an upward trend (P<0.05). Multivariable logistic regression analysis showed that participants aged 25 to <50 years (OR=1.358, 95%CI: 1.073-1.719), with an educational level of high school or junior college (OR=1.431, 95%CI: 1.134-1.806) or above junior college (OR=3.728, 95%CI: 2.958-4.699), with household monthly income per capita of 3 000 to <5 000 yuan (OR=1.828, 95%CI: 1.344-2.486) or ≥5 000 yuan (OR=1.858, 95%CI: 1.366-2.526), without a history of invasive treatments such as pedicure in public places (OR=1.287, 95%CI: 1.024-1.618), without a history of contact with family members' blood-contaminated items (OR=2.050, 95%CI: 1.552-2.707), and always using condoms during sexual contacts (OR=1.740, 95%CI: 1.273-2.378) had higher awareness of knowledge about hepatitis C prevention and control. Conclusions The awareness of knowledge about hepatitis C vaccine and treatment among outpatients in Ningbo City needs to be improved. Age, educational level, household monthly income per capita, history of invasive treatments such as pedicure in public places, history of contact with family members' blood-contaminated items and frequency of condom use during sexual contacts are associated with outpatients' awareness of knowledge about hepatitis C prevention and control.