Obesity is a chronic low-grade inflammation and a risk factor for diseases such as diabetes， hypertension， dyslipidemia， and malignant tumors， demonstrating an increasingly grim development situation. The nuclear factor-kappa B （NF-κB） signaling pathway is a key signaling pathway involved in the immune response and inflammatory response. In obese individuals， the expression of NF-κB is overactivated， which leads to abnormal inflammatory responses in the body. Therefore， it is expected to alleviate inflammation and treat obesity by regulating the NF-κB signaling pathway， which has been proven effective by a large number of studies. The available studies on the NF-κB signaling pathway mostly focus on tumors， and there is no systematic review of the mechanism of this pathway in mediating obesity and the traditional Chinese medicine （TCM） treatment. We reviewed the research progress in the pathological and physiological processes of obesity mediated by NF-κB signaling pathway and TCM treatment， aiming to give insights into the clinical treatment of obesity with TCM and provide reference targets and research directions for exploring the biological foundations and the development of new TCM preparations.

Objective: To analyze the incidence of statutory and keymonitored infectious diseases among school students in Beijing from 2016 to 2020, so as to provide a reference for developing the prevention and control of infectious diseases in schools. Methods: A descriptive statistical analysis was conducted on student cases aged 6-22 years in Beijing from 2016 to 2020 selected from the China Disease Surveillance Information Reporting Management System. Rate comparisons were performed using the 2 test and trend 2 test. Results: From 2016 to 2020, the overall incidence of statutory and keymonitored infectious diseases among students in Beijing showed an upward trend (χ2trend=582.42), the incidence rates of Category B and other infectious diseases exhibited a downward trend (χ2trend=82.71, 18.34), while Category C infectious diseases demonstrated a significant upward trend (χ2trend=911.75) (P<0.01). Among Category B infectious diseases, scarlet fever, bacillary dysentery, tuberculosis, and HIV/AIDS were predominant, with annual average incidence rates of 61.33/100 000, 35.38/100 000, 13.88/100 000, and 3.78/100 000, respectively. Except for HIV/AIDS, the reported incidence rates of other infectious diseases showed a declining trend. Among Category C infectious diseases, influenza, other infectious diarrhea, hand-foot-mouth disease, and mumps were predominant, with annual average incidence rates of 956.13/100 000, 114.39/100 000, 111.37/100 000, and 28.24/100 000, respectively. Influenza showed a significant upward trend (χ2trend=1 508.30), while the other infectious diarrhea, hand-foot-mouth disease, and mumps exhibited a downward trend (χ2trend=13.84, 25.78, 6.13) (P<0.05). Among other infectious diseases, varicella was predominant (χ2trend=17.47, P<0.05). Scarlet fever, influenza, hand-foot-mouth disease, and mumps had higher incidence rates among primary and middle school students; other infectious diarrhea and varicella were more prevalent among high school students; tuberculosis and bacillary dysentery were more common among high school and college students; and HIV/AIDS had higher incidence rates among college and high school students. Conclusion From 2016 to 2020, the incidence of Category B infectious diseases among students in Beijing showed a declining trend, while influenza, a Category C infectious disease, exhibited a significant upward trend.

Objective: To investigate the levels of knowledge and skills in infectious diseases among school doctors and health teachers in Beijing s primary and secondary schools in 2023, and analyze the influencing factors, so as to provide a reference basis for enhancing the professional competencies of school doctors and health teachers. Methods: From October to November 2023, a census method was used to conduct a questionnaire survey among all school doctors and health teachers in 16 districts of Beijing. Chi-square tests and multivariate Logistic regression analysis was used perform statistical analysis. Results: The awareness rate of infectious diseaserelated knowledge among school doctors and health teachers in primary and secondary schools in Beijing in 2023 ranged from 34.44 % to 98.57%, while the behavior formation rate ranged from 65.90% to 98.64%. The proportions of those with literacy in infectious disease knowledge and behavior among school doctors and health teachers were 82.76% and 85.70%, respectively. Multivariate Logistics regression analysis showed that being a full-time employee, having a bachelor s degree or above, and holding a senior professional title were positively correlated with having literacy in infectious disease knowledge ( OR =1.76, 2.57, 1.42 , P <0.01). Compared to medical professionals, those in education and other professions were negatively correlated with having literacy in infectious disease knowledge ( OR =0.37, 0.55, P <0.01). Being a full-time employee, being female, and age were positively correlated with having literacy in infectious disease behavior ( OR =1.66, 2.18, 1.02, P <0.01). Conclusions The level of health literacy for infectious diseases among school doctors in Beijing primary and secondary schools is relatively high. Targeted training on key professional knowledge and skills should be prioritized for individuals with deficiencies in infectious disease prevention and control.

Diabetes is a common chronic non-infectious disease. Diabetic patients not only suffer from metabolic disorders, but are also prone to immune deficiencies and are at a higher risk of being infected with human papillomavirus (HPV). Many studies at home and abroad have shown that the HPV infection rate of patients with diabetes is higher than that of non-diabetic patients. Patients with diabetes can benefit from HPV vaccination, and the tolerance is good. HPV vaccination is recommended for diabetic patients. This article reviews the research on diabetes, HPV infection, and HPV vaccine, which will provide references for HPV vaccination in diabetic patients.

Objective To investigate the genetic risk factors of deep vein thrombosis(DVT)after trauma.Methods In a nested case-control study,50 patients with DVT after traumatic lower extremity fractures and 50 patients without DVT were recruited.The two groups were matched with gender,age and fracture sites.Preoperative venography was performed to diagnose DVT in trauma patients.Genome wide association study(GWAS)was used to investigate the genetic risk factors for preoperative DVT after traumatic lower ex-tremity fractures.Genomic DNA in leukocytes from blood sample was extracted and used for GWAS.Results GWAS was conducted based on 2 662 single nucleotide variants(SNV)which were dispersed in 144 interested genes.Ten genes were found to have signifi-cant association with trauma-related DVT,including cofactors of hemostasis mechanism,i.e.,THBD,F5,SERPIND1 and ITGA2,the factors related to vitamin K-dependent(VKD)carboxylation,i.e.,GGCX and CALU,and the members of cytochrome P450 family,i.e.,CYP1A1,CYP3A4,CYP2C19 and CYP2B6.Conclusion DVT after trauma might be regulated by the cofactors of hemostasis mechanism,the factors related to VKD carboxylation and the members of cytochrome P450 family.The results of our study may provide reference and inspiration for genetic susceptibility of preoperative DVT after trauma.

BACKGROUND:The preoperative planning of traditional X-ray films is often inaccurate,which can lead to some intraoperative and postoperative complications,increase the operation time and intraoperative blood loss,and to some extent affect the surgical outcome of total hip arthroplasty. OBJECTIVE:To investigate the accuracy and effectiveness of artificial intelligence preoperative planning in total hip arthroplasty. METHODS:Sixty patients who underwent primary total hip arthroplasty on the affected side were selected.30 of them used artificial intelligence 3D preoperative planning(trial group)and 30 used conventional X-ray film 2D preoperative planning(control group),and there were no statistically significant differences between the two groups in terms of gender,age,condition and other general data(P>0.05).The actual intraoperative prosthesis placement and preoperative planning prosthesis matching,intraoperative operation time,intraoperative blood loss,bilateral femoral eccentric distance difference,bilateral joint eccentric distance difference and bilateral lower limb length difference,and Harris score at 3 months after operation were compared between the two groups,and the accuracy and application effect of the two preoperative plans were analyzed. RESULTS AND CONCLUSION:(1)Patients in both groups were followed up for 4-6 months postoperatively.One patient in the control group had a posterior dislocation of the prosthesis at 5 days postoperatively,which recovered after performing manual repositioning without re-dislodgement.The rest of the patients did not have postoperative complications or postoperative death.(2)Complete matching rate of the prosthesis on the acetabular side and femoral side was significantly better in the trial group than that in the control group(P<0.05).(3)Operation time and intraoperative blood loss were significantly less in the trial group than those in the control group(P<0.05).(4)The difference in bilateral lower limb length between the two groups was statistically significant(P<0.05),and the difference in bilateral femoral eccentric distance and bilateral joint eccentric distance was not statistically significant(P>0.05).(5)Harris score of patients in the trial group was significantly higher than that in the control group 3 months after operation(P<0.05).(6)These results confirm that compared with traditional film planning,artificial intelligence preoperative planning can predict the prosthesis type more accurately,shorten the operation time,reduce intraoperative blood loss,diminish the occurrence of postoperative bilateral lower limb inequality,and accelerate postoperative recovery.

ObjectiveTo explore the protective effect and mechanism of Yangxin Dingji capsules on isoproterenol （ISO）-induced ventricular arrhythmia in SD rat cardiomyocytes based on the transforming growth factor-β activated kinase 1 （TAK1）-mitogen-activated protein kinase kinase 3 （MKK3）-p38 mitogen-activated protein kinase （p38 MAPK） signaling pathway. MethodFifty male SPF-grade SD rats were randomly divided into a normal group， a model group， a propranolol group， a low-dose Chinese medicine group， and a high-dose Chinese medicine group. The ventricular arrhythmia model was constructed using the ISO "6+1" method. The propranolol group received propranolol at 0.015 g·kg^-1·d^-1. The Chinese medicine groups received Yangxin Dingji capsules at doses of 0.5、 2 g·kg^-1·d^-1， respectively. The normal and model groups were given an equal volume of 0.9% NaCl solution. Electrocardiogram （ECG） changes in SD rats were recorded using the BL-420F biological function experimental system. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in the heart. Serum levels of cardiac troponin I （cTnI）， creatine kinase-MB （CK-MB）， interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， and transforming growth factor-β₁ （TGF-β₁） were measured using enzyme-linked immunosorbent assay （ELISA）. The mRNA expression of IL-1β and TNF-α was assessed using real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. Reactive oxygen species （ROS） expression was detected using immunofluorescence. Protein expression levels of TAK1， phosphorylated TAK1 （p-TAK1）， MKK3， phosphorylated MKK3 （p-MKK3）， p38 MAPK， phosphorylated p38 MAPK （p-p38 MAPK）， nuclear factor-κB （NF-κB）， phosphorylated NF-κB （p-NF-κB）， IL-1β， and TNF-α were measured using Western blot or immunohistochemistry. ResultCompared with normal group， the model group showed significant ventricular arrhythmia in ECG， with an increased arrhythmia score （P<0.01）. Pathological damage to myocardial tissue was evident， and serum levels of cTnI， CK-MB， IL-1β， TNF-α， and TGF-β₁ were elevated （P<0.01）. The mRNA and protein expression of IL-1β and TNF-α in myocardial tissue was also increased （P<0.01）. ROS level and protein expression of p-TAK1， p-MKK3， p-p38 MAPK， and p-NF-κB were elevated in myocardial tissue （P<0.01）. In the propranolol and Chinese medicine groups， the incidence of sustained ventricular tachycardia （SVT） and arrhythmia scores were significantly reduced compared to model group （P<0.05， P<0.01）. Pathological damage to cardiomyocytes was alleviated， and levels of myocardial injury markers and inflammatory factors in serum and myocardial tissue were decreased. The ROS level in myocardial tissue was also reduced （P<0.01）， with a noticeable reduction in related molecules in the p38 MAPK pathway （P<0.05， P<0.01）. ConclusionThe expression of p38 MAPK pathway molecules was up-regulated in myocardial tissue of ISO-induced ventricular arrhythmia rats. Yangxin Dingji capsules may inhibit cardiac inflammation damage by regulating the expression of related molecules in the p38 MAPK pathway， thereby exerting a protective effect on myocardial cells， with TAK1 being a potential target.

Metabolomics, including targeted metabolomics and non-targeted metabolomics, is a method to study endogenous small molecule metabolites in organisms. The process of metabolomics analysis generally includes sample collection and pre-treatment, sample detection, data preprocessing, metabolite identification, data statistical analysis, and others. At present, metabolomics technology has been applied to study toxicological mechanism of occupational hazards, early detection and diagnosis of occupational diseases, screening biomarkers of occupational exposure, and others. The application of metabolomics technology to explore the relationship between workers' metabolites and exposure to occupational hazardous, assess the potential impact of occupational exposure on workers' health, and search for ideal biomarkers or therapeutic targets is conducive to early warning and monitoring of occupational health hazards, and assistance in the early diagnosis and prognosis of occupational diseases.In the future, further research is needed in the field of occupational health using metabolomics to establish more complete and standardized workflows and experimental methods, combine big data technology to explore potential biomarkers, utilize metabolic information to provide precise occupational health services, and use artificial intelligence models for data mining and disease diagnosis in metabolomics.

Biotoxins, which include bacterial, fungal, marine, plant, and animal toxins, are widespread in living and occupational environments, posing potential threats to human health. Rapid detection of biotoxins in blood is crucial for preventing health hazards and enabling timely disease diagnosis and treatment. Biosensors and immunoassay technologies have critical advantages in the rapid detection of biotoxins in blood. Common biosensors, such as surface plasmon resonance biosensors and fluorescent biosensors, enhance sensitivity and reduce detection limits through signal amplification. Common immunoassay methods, such as colloidal gold immunochromatography, fluorescence immunochromatography, and chemiluminescence immunoassay, improve detection efficacy and sensitivity through specific antibody-antigen binding and nanotechnology. However, current rapid detection technologies of bitoxins in blood face challenges such as matrix interference and insufficient specificity, and they fall short in high-throughput detection of multiple toxins simultaneously. Future developments should focus on improving sample pretreatment, innovating signal amplification methods, enhancing specificity on recognition of elements, and designing portable detection devices and high-throughput platforms for simultaneous toxin analysis. These advancements aim to improve the sensitivity and reliability of detection methods, providing more accurate and convenient solutions for biotoxin detection in blood.

In order to promote the development of hair transplantation, particularly the establishment of standards, the Hair Transplantation Expert Group of Plastic and Aesthetic National Medical Quality Control Center invited experts in the field of hair transplantation across China and formed a draft of the Expert Consensus on Standard Terminology for Hair Transplantation based on the collation of relevant literature and monographs. By combining Delphi methodology and consensus meetings, the expert group conducted several rounds of consultations on issues such as follicular unit anatomy, harvesting, dissection, and implantation, ultimately presenting 54 terminologies. This consensus considers the original Chinese and English meanings as well as the professional characteristics of terms used in hair transplantation, highlights the unique features and advantages of hair transplantation, and preserves its essence while promoting innovation, with the hope of providing valuable reference for clinical researchers engaged in hair transplantation both domestically and internationally, and better facilitating the standardization and advancement of the field.