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

This paper presents an automatic acquisition and analytic procedure of acupuncture manipulation based on optical navigation, aiming at solving the shortcomings of existing acquisition methods of acupuncture manipulation. An acquisition holder installed at the handle tail of filiform needle was designed to display the movement trajectory of the needle during acupuncture delivery by collecting the movement trajectory of holder. The 3-month old male Bama miniature pig was selected as the experimental subject, and 6 points, "Bojian" "Qiangfeng" "Housanli" "Xiaokua" "Huiyang" (BL35) and "Baihui" (GV20), were selected during acupuncture manipulation. The optical navigation system was used to collect the real-time data, and these data were per-processed and analyzed using mean filtering and Fourier transform. The acupuncture procedure was divided into 3 stages, inserting, lifting-thrusting, and twisting. The results showed that the accuracy was 96.3% at lifting-thrusting stage, and that was 100.0% at twisting stage. The decomposition effect of the entire procedure was satisfactory. This study provides a new approach to the quantitative analysis of acupuncture manipulation. In the future, it needs to further optimize the algorithm and expand the sample size so as to improve the accuracy of this analytic technique.
Acupuncture Therapy/methods* ; Male ; Animals ; Swine ; Acupuncture Points ; Humans ; Swine, Miniature ; Needles

Depression is a major cause of disability and has adverse effects.Despite the many types of anti-depressants,clinical treatments of depression remain poor.Therefore,novel anti-depressant mechanisms need to be explored.The beneficial effects of irisin on the nervous system are gradually being elucidated,and studies have found that irisin has an anti-depressant effect,which may become a new treatment for depression.This study explored the mechanism of irisin and its upstream and downstream anti-depressants by reviewing the existing studies explaining the link between irisin and depression,and proposes that SIRT1/PGC-1α may mediate FNDC5/irisin to regulate BDNF to promote neurogenesis and improve depression,which provides a new idea to study irisin and its upstream and downstream anti-depressants.

The construction of experimental animal models plays an important supporting role in research into the mechanisms of action of Chinese medicines.There have been increasing reports of the construction and evaluation of animal models of spleen deficiency;however,the construction method have involved different standards and there has been insufficient objectification of the evaluation indexes.In this review,we summarize the construction and evaluation method of animal models of spleen deficiency from the aspects of animal selection,model establishment,macroscopic characterization,behavioral experiments,and objective indexes of spleen deficiency,with a view to providing theoretical guidance for the construction of experimental animal models of spleen deficiency and references for the selection of animal model platforms for spleen deficiency.

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

Non-small cell lung cancer （NSCLC） is a malignant tumor of the respiratory system with a high incidence. The early symptoms are not typical， and most patients are diagnosed at an advanced stage， which seriously threatens the lives and health of people. Surgery， chemotherapy， and targeted therapy are the main means of treatment at present， but the consequent drug resistance and adverse reactions restrict these treatment methods with certain limitations. In recent years， with the development of traditional Chinese medicine （TCM） in tumor resistance， TCM has attracted extensive attention for its obvious therapeutic effect and fewer adverse reactions. Numerous signaling pathways are involved in the formation and development of NSCLC， where phosphatidylinositol 3 kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway is one of the key regulatory pathways. The PI3K/Akt/mTOR signaling pathway affects the proliferation， invasion， and metastasis of NSCLC cells by affecting the cycle， inhibiting the apoptosis， inhibiting the autophagy of tumor cells， and promoting tumor neovascularization. As revealed by the recent literature， Chinese medicine plays an indispensable role in NSCLC cell autophagy， cell cycle， apoptosis， invasion and metastasis， neovascularization， and reversal of drug resistance by regulating the PI3K/Akt/mTOR signaling pathway. Although some Chinese medicinal extracts or compounds have made great breakthroughs in some mechanisms of action in the treatment of NSCLC， these studies only remain at the level of in vitro cell experiments and animal studies in vivo. Researchers are faced with the great challenge of "transforming the research results of Chinese medicines into clinical applications". Based on the current research status in China and abroad， this paper reviewed Chinese medicine in the intervention in NSCLC through the regulation of PI3K/Akt/mTOR signaling pathway in recent years， in order to open up new ideas for NSCLC drug therapy research and also provide a useful reference for further mechanism research.

Vascular cognitive impairment (VCI) is a clinical syndrome with impairment of at least one cognitive domain caused by vascular risk factors or cerebrovascular diseases, and its pathogenesis is not completely clear so far. Microglia are innate immune cells in the brain. They participate in many processes such as neuroinflammation, synaptic pruning, myelin regeneration, neurogenesis and connection. They are associated with the occurrence and development of various neurological diseases such as cerebral infarction, Alzheimer's disease, Parkinson's disease, and autism. Recent studies have shown that microglia play an important role in the development of VCI. This article reviews the role of microglia in VCI.

OBJECTIVES: To analyze the clinical characteristics and prognosis of children with anti-N-methyl--aspartate receptor (NMDAR) encephalitis and to provide a basis for early clinical identification of this disease. METHODS: The clinical data of 42 cases of anti-NMDAR encephalitis at Department of Pediatrics, Second Xiangya Hospital, Central South University from January 2015 to March 2018 were collected. The clinical features and followed-up outcomes were analyzed retrospectively. RESULTS: There were 15 cases (35.7%) of males and 27 cases (64.3%) of females in 42 children, with a ratio of 1꞉1.8. They were aged from 4 months to 17 years, with an average of (9.20±4.66) years. The most common initial symptoms were seizures (47.6%, 20/42) and mental behavior disorder (35.7%, 15/42). During the course of the disease, 85.7% patients(36/42) had mental and behavior disorder, 85.7% patients (36/42) had epilepsy, 76.2% (32/42) had speech disorder, 66.7% patients (28/42) had dyskinesia, 66.7% patients (28/42) had the decreased level of consciousness, 61.9% patients (26/42) had autonomic instability, and 57.1% (24/42) patients had sleep disorder. All the children had positive antibody against NMDA receptor resistance encephalitis in cerebrospinal fluid. Head MRI showed the abnormal incidence was 50.0% (21/42), and the lesions involved in parietal lobe, frontal lobe, temporal lobe, occipital lobe, midbrain, thalamus, basal ganglia and optic nerve. There was a patient with optic nerve damage combined with myelin oligodendrocyte glycoprotein (MOG) antibody positive. Forty cases were examined by electroencephalogram (EEG), 92.5% cases (37/40) were abnormal, mainly showing diffuse slow waves, and δ brushes could be seen in severe cases. And there was 1 patient (2.4%) complicated with mesenteric teratoma. The mRS score (2.14±1.46) at discharge was significantly lower than the highest mRS score (3.88±1.38) during hospitalization (<0.05). After 3-39 months of follow-up, mRS score at 3 months after discharge was only 0.81±1.29, which was still improved compared with that at discharge, 76.2% cases (32/42) experienced complete or near-complete recovery (mRS score≤2), and 4.8% (2/42) cases relapsed. There was no mortality; the initial time of immunotherapy and the highest mRS score in the course of the disease were the factors affecting the prognosis. The earlier the starting time for immunotherapy and the lower mRS score in the course of the disease were, the better the prognosis was. CONCLUSIONS Seizures, mental and behavior disorder, dyskinesias, speech disorder and autonomic instability are common clinical manifestations of anti-NMDAR encephalitis in children. The effect of immunotherapy is significant, and the time to start immunotherapy and the severity of the disease are important factors affecting the prognosis. Anti-NMDAR encephalitis can be combined with other autoantibodies, but its clinical significance and mechanism need further study.
Adolescent ; Anti-N-Methyl-D-Aspartate Receptor Encephalitis ; Autoantibodies ; Child ; Child, Preschool ; Electroencephalography ; Female ; Humans ; Infant ; Magnetic Resonance Imaging ; Male ; Receptors, N-Methyl-D-Aspartate ; Retrospective Studies

Purpose: Most lung adenocarcinoma (LUAD) patients are diagnosed at the advanced stage and have poor prognosis. DNA methylation plays an important role in the prognosis prediction of cancers. The objective of this study was to identify new DNA methylation sites as biomarkers for LUAD prognosis. Materials and Methods: We downloaded DNA methylation data from The Cancer Genome Atlas data portal. Cox proportional hazard regression model and random survival forest algorithm were applied to identify the DNA-methylation sites. Methylation of sites were validated in the Gene Expression Omnibus cohorts. Function annotation were done to explore the biological function of DNA methylated sites signature. Results: Six DNA methylation sites were identified as prognosis signature. The signature yielded acceptable discrimination between the high-risk group and low-risk group. The discrimination effect of this DNA methylation signature for the OS was obvious, with a median OS of 21.89 months vs. 17.74 months for high-risk vs. low-risk groups. This prognostic prediction model was validated by the test group and GEO dataset. The predictive survival value was higher for the prognostic prediction model than that for the tumor node metastasis stage. Adjuvant hemotherapy could not affect the prediction of the signature. Functional analysis indicated that these signature genes were involved in protein binding and cytoplasm. Conclusion We identified the prognostic signature for LUAD by combining six DNA methylation sites. This could service as potential robust and specificity signature in the prognosis prediction of LUAD.