This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

Background and aims:Metabolic dysfunction-associated fatty liver disease(MAFLD)is a common chronic condition that can lead to cancer due to its complex pathogenesis.Therapeutic agents targeting AMP-activated protein kinase(AMPK)activation have been suggested as potential treatments for metabolic disorders such as metabolic dysfunction-associated steatohepatitis(MASH).Rhizoma Atractylodis Mac-rocephalae(RAM)has been clinically used to treat obesity-related health problems,but its therapeutic effects on MAFLD and the underlying mechanism remain unclear.Therefore,this study was conducted to evaluate the function and underlying mechanism of RAM in the treatment of MAFLD.Methods:The effect of RAM decoction on MAFLD was evaluated using a high-fat diet(HFD)-induced MAFLD mouse model.In vitro studies were conducted using a palmitic acid/oleic acid-induced lipid accumulation model in the alpha mouse liver 12 cells and RAM-containing serum.The underlying mechanisms were elucidated through a combination of network pharmacology analysis,immunohis-tochemistry,western blotting,and polymerase chain reaction analysis.Results:Administration of RAM decoction significantly reduced body weight gain in MAFLD mice without changing food intake.The weights of the liver and inguinal adipose tissues were also reduced after RAM treatment.Additionally,RAM administration decreased serum levels of alanine aminotrans-ferase,aspartate transaminase,total cholesterol,triglyceride,low-density lipoprotein cholesterol,and glucose,while reducing lipid droplet accumulation in the liver tissues of MAFLD mice.The underlying mechanisms included the activation of the phosphorylation of AMPK and acetyl-CoA carboxylase(ACC),and inhibition of the expression of sterol regulatory element binding protein 1(SREBP1).However,RAM did not alter the protein expression levels of peroxisome proliferator-activated receptor α and carnitine palmitoyltransferase-1α.Furthermore,the RAM-induced upregulation of phosphorylated AMPK,phos-phorylated ACC,and SREBP1 expression,as well as the downregulation of fatty acid synthase expression,were reversed by using an AMPK inhibitor.Conclusions:Through a combination of network pharmacology and experimental validation,we demonstrated that RAM may exert therapeutic effects on MAFLD by inhibiting lipid synthesis and activating phosphorylated AMPK pathways.

Objective To explore the differences in positive psychological resources among elementary and secondary school students with and without non-suicidal self-injury(NSSI)behaviors.Methods Between September and October 2023,the assessment data of 56 870 students aged 9 to 18 years in Chengdu,Sichuan Province were collected.The R software package was used to evaluate the network structure and symptom centrality,and the global strength and structural differences of the networks of students with and without NSSI behaviors in elementary,junior high,and senior high schools were compared.Results The prevalence of NSSI among elementary and secondary school students stands at 12.21%.Specifically,it peaks in junior high school students,reaching 14.22%,followed by that in senior middle school students at 13.66%,and is lowest in elementary school students at 10.17%.Regarding the network structure in elementary school students,irrespective of the presence or absence of NSSI behavior,subjective support exhibits the strongest network strength,and family functioning demonstrates the highest closeness centrality.Among junior high school students without NSSI behaviors,the strongest network strength was observed in subjective support,whereas for those with NSSI behaviors,self-esteem showed the strongest network strength.In addition,subjective support exhibited the highest closeness centrality in both groups.In senior high school students,self-esteem was the factor with the strongest network strength for students with or without NSSI behaviors.For senior high school students without NSSI,subjective support had the highest closeness centrality,while for those with NSSI,expressive suppression showed the highest closeness centrality.The edge weights differed significantly among elementary school students in family functioning-self-esteem(E=0.093)and family functioning-objective support(E=0.087).For junior high school students,significant differences were found in objective support-subjective support(E=0.131)and family functioning-impulse control(E=0.109).Among senior high school students,significant differences were observed in impulse control-family function(E=0.133)and subjective support-utilization of support(E=0.130)(P<0.05).Conclusion Excessive family involvement in elementary school students and expressive suppression in senior high school students may be important influencing factors for NSSI behaviors.The lack of social support has a greater impact on junior and senior high school students.The strength of the connection among subjective support,objective support,and utilization of support is an important indicator.

Objective To understand the epidemiological characteristics of scrub typhus disease and to provide a scientific basis for the prevention and control of scrub typhus disease. Methods Descriptive epidemiological methods were used to analyze the population and regional distribution of scrub typhus. Seasonal characteristics were analyzed using concentration method and circular distribution method, and incidence trend was analyzed using joinpoint regression model. Results The annual incidence rate of scrub typhus was 0.95/100 000 from 2010 to 2022. The incidence rate of male was 0.77/100 000, lower than that of female 1.12/100 000 (χ²=18.89, P<0.05). The incidence rate of the 60-74 years old group was 3.38/100,000, and the total number of cases in the age group 45-74 years was 416 (74.95%). Occupational distribution was mainly among farmers, with 448 cases (80.72%). The top three regions with the highest number of reported cases (in order: Donghai County, Ganyu District, and Guannan County) reported a total of 416 cases, accounting for 74.95%. Concentration ratio was M=0.9408, and the incidence of scrub typhus disease was strictly seasonal. Circular distribution results showed a^-=-62.3728, S=20.8960. The circular distribution results indicated that the peak day was October 19th, and the peak period was between October 7 to December 19. The average annual percentage change (AAPC) of the incidence rate from 2010 to 2022 was 13.70%, 95% CI (-8.62%~41.48%), and the incidence rate showed an upward trend (t=1.15, P=0.249). Conclusion The incidence of scrub typhus disease is strictly seasonal, and the incidence rate over the years shows an upward trend. It is necessary to strengthen monitoring and take various intervention measures to reduce the risk of scrub typhus disease.

Vestibular migraine(VM)is a common vestibular disorder in which vertigo and migraine coexist,and visually induced vertigo is one of the typical vestibular symptoms of VM.The clinical manifestations of VM re-lated visual vertigo are various,which are affected by anxiety,motion sickness,age and other factors.Multiple mechanisms such as anatomical and physiological connections,gaze instability,visual vestibular integration defects,impaired sensory remodeling,sensitization of the central vestibular pathway,5-hydroxytryptamine and glutamate-glutamine cycle and other neurotransmitters may lead to VM-related visual vertigo.

Objective This study aimed to develop an experimental animal platform for evaluating the feasibility and safety of intelligent acupuncture robots and to lay the foundation for further research.Methods Six 2-month-old Guangxi Bama miniature pigs were used as experimental subjects for acupuncture verification after anesthesia.First,manual acupuncture verification was carried out.Six acupoints were selected for each experimental animal and the needles were left for 20 min after the lifting,inserting,and twisting manipulation.Before and after controls were included.The experiment was carried out for 28 days,and each experiment was conducted once every 2 days for a total of 10 times.After verification of manual acupuncture,a point 10 mm from each of the six selected acupoints was selected,with a total of 12 points,and acupuncture operations were carried out on the experimental animals using the intelligent acupuncture module of the acupuncture robot at different frequencies and angles,to further verify the stability and feasibility of the animal platform.Results Routine safety-related blood indicators and blood biochemistry indicators after the procedure were normal and stable compared with those before the procedure.The average heart rate of the animals was 124 beats/min,the average blood pressure was 87/36 mmHg,and the average body temperature of was 36℃at a room temperature of 25℃,with no significant change in body temperature during and after the experiment.On the basis of this experimental platform,acupuncture manipulation using the intelligent acupuncture module of the acupuncture robot was completed successfully,with no abnormalities related to acupuncture such as bending,breaking,or stagnation of needles during the experimental process,and the experimental animals showed no obvious abnormalities.Conclusions This study established a stable experimental animal platform for evaluating the feasibility and safety of acupuncture carried out by intelligent acupuncture robots,based on the existing experimental method of miniature pigs.These result lay a foundation for further research related to the use of intelligent acupuncture robots.

OBJECTIVE: To evaluate the performance of a newly developed intelligent acupuncture robot that simulates human manual acupuncture techniques through an animal experiment using miniature pigs. METHODS: Two 3-month-old Bama miniature pigs were selected. One pig was used for the manual needling techniques of the practitioner, and the other pig was used for the intelligent acupuncture robot. The acupoints selected were "Qiangfeng" "Bojian" "Xiaokua" "Huiyang" (BL 35) and "Baihui" (GV 20), with a straight insertion depth of 25-35 mm. The manipulation techniques, including lifting-thrusting and twisting at a frequency of 90 times/min, were applied for 1 min, with 30 s each for lifting-thrusting (10 mm amplitude) and twisting (180° angle). The practitioner's needling techniques were captured using an optical motion capture system, and the collected data were input into the intelligent acupuncture robot for replication on the second miniature pig. A complete needling session of five acupoints was considered one round, and three rounds were performed per session, every other day, for a total of five sessions, completing 15 rounds. The Fréchet distance method was used to compare the robot's replicated needling data with the practitioner's data, and curve fitting analysis was conducted to evaluate the robot's performance and precision. RESULTS: The intelligent acupuncture robot achieved a total completion rate of 96.00% for 75 needling operations, with a non-completion rate of 4.00%. The robot's replication of the practitioner's needling techniques showed a good fit, with many characteristic points overlapping. The average Fréchet distance was 18.67. The Fréchet distance for the lifting-thrusting and twisting techniques at Baihui (GV 20) and "Huiyang" (BL 35) acupoints was smaller than that at "Xiaokua" and "Qiangfeng" points (P<0.01). The accuracy of the lifting-thrusting technique at "Xiaokua" and "Qiangfeng" acupoints was lower than the twisting technique (P<0.01). CONCLUSION The intelligent acupuncture robot is able to replicate the pre-recorded manual needling parameters with a high degree of accuracy.
Animals ; Swine ; Swine, Miniature ; Acupuncture Therapy/methods* ; Robotics/instrumentation* ; Humans ; Acupuncture Points ; Female ; Male

Objective:To explore the utilization of cancer-related data from basic medical insurance databases in China, and promote the application of medical insurance data in cancer prevention and treatment.Methods:Database PubMed, Web of Science, Wanfang, and CNKI were used to select related research papers using data from basic medical insurance system in China published by December 2021. Descriptive analysis was conducted in terms of the number of publications, types of cancer, primary research contents and author affiliations.Results:A total of 65 papers were included in the study. The number of publications increased rapidly after 2016. The most studied cancer type was lung cancer, and healthcare costs were the most common research contents. Fujian, Beijing, and Anhui have made a better use of cancer-related medical insurance databases compared to other provincial regions. The accessibility of the New Rural Cooperative Medical Scheme data was limited due to the high regional barriers, while the accessibility of the urban basic medical insurance data was relatively high. The researchers from Peking University and Fudan University had higher utilization of basic medical insurance data compared with those from other institutions.Conclusions:The utilization of cancer-related data from basic medical insurance databases in China is limited because of poor accessibility, insufficient data sharing, and regional restrictions. Thus, it is urgent to improve data accessibility and promote the integration and utilization of regional medical insurance data.

Objective To explore the risk of venous thromboembolism (VTE), especially lower-extremity deep vein thrombosis (DVT) and pulmonary embolism (PE), for stroke patients in rehabilitating, and the functional outcome. Methods A total of 3 557 stroke patients in the neurological rehabilitation center of Beijing Bo'ai Hospital for stroke rehabilitation from January, 2015 to October, 2020 were reviewed through the electronic medical record system. Demographic characteristics, stroke characteristics (type and location), laboratory data (D-dimer polymer and arterial partial pressure of oxygen), motor function (Brunnstrom stage, Fugl-Meyer Assessment of motor and balance, modified Ashworth Scale score of triceps crus, and Holden Walking Ability Classification), activities of daily living (Barthel Index), and anticoagulant/antiplatelet treatment data were collected and analyzed. Results The incidence of DVT and PE was 28.5% and 1.29%, respectively. Most were found 30 days later after onset. The incidence of PE was higher after ischemic stroke (χ2 = 12.49, P < 0.001) rather than hemorrhagic stroke. The patients with hemispheric stroke, severe lower-extremity paralysis, and poor activities of daily living were more prone to complications associated with VTE. After rehabilitation, the function of stroke patients with PE could be improved (|t| > 4.302, P < 0.001). Conclusion The risk of DVT and PE in patients during stroke convalescence may not be negligible, and those with older age, previous history of thrombosis, severe stroke, and severe limb paralysis may be stratified in high-risk. Following anticoagulation treatment, early individualized comprehensive rehabilitation can be done for patients with PE to improve their function and activities of daily living.

Recombinant proteins provide new means for disease treatment, while creating considerable economic benefits. Using commercial crops (mainly tobacco), cereal crops, legumes, and vegetable crops to produce recombinant proteins with medicinal value is a hot-spot for research in "molecular farming". Although many recombinant proteins have been expressed in plants, only a small number have been successfully put into use. To overcome the problems that greatly hamper the development of recombinant protein production in plants, researchers have improved expression systems to increase the yield of recombinant proteins. Starting from analyzing the problems of low yield and/or low biological activity of recombinant proteins produced by plants, the optimization strategies to solve these problems were reviewed, and future research directions for improving the yield of recombinant proteins produced by plants were proposed.
Crops, Agricultural/genetics* ; Plant Proteins/metabolism* ; Plants, Genetically Modified/genetics* ; Recombinant Proteins ; Tobacco/genetics*