Effect of online and offline collaborative and integrated mode on voluntary blood donation: Internet + blood donation souvenir / 中国输血杂志

【Objective】 To explore the effect of online and offline collaborative and integrated mode (Internet + blood donation souvenirs), and develop diversified scientific ways of caring for voluntary blood donors in combination with the potential expectation of the target population, ao as to recruit and retain more blood donors. 【Methods】 A total of 4 000 blood donors from Yichang Central Blood Station from January 1 to June 30, 2022 were selected, and they could collect souvenirs from online and offline. The intelligent platform V9.5 of modern blood station management information system of Qiao Technology was used to classify the data of online and offline souvenir distribution, and digital intelligent comparison and analysis on age, occupation, education, type (first-time blood donors or repeat blood donors), region (main urban districts of Yichang and other counties and suburban districts) and gender were carried out. 【Results】 A total of 1 400 blood donors chose online souvenirs, who were mainly under 25 years old, students, female, college education or above, urban areas and regular donors; 2 600 chose offline souvenirs, who were mainly over 25 years old, male, junior college degree or below, occupations other than students (medical workers, educators, etc.), counties and suburban districts, and first-time blood donors. The collaborative and integrated mode of the two distribution methods were complementary and had a good incentive effect on blood donor recruitment. 【Conclusion】 The online and offline collaborative and integrated mode demonstrates a good effect and meets the needs of different population. Digital intelligence system is helpful to develop diversified and scientific ways of caring for voluntary blood donors, recruit and retain more blood donors, achieve high-quality development of blood collection and supply, therefore guarantee the increasing demand for clinical blood use.

Technical guideline for school sanitary and anti epidemic measures after flood disasters / 中国学校卫生

Abstract@#Flood disasters are the common public health emergencies, mainly leading to environmental damage, water pollution, food pollution, vector breeding, infectious disease epidemic and other risk factors of sanitary and anti epidemic work. The guideline has been formulated with reference to the technical documents such as Guideline for Environmental Sanitation Disposal and Preventive Disinfection in Flooded Areas and Technical Proposal for Sanitary and Anti epidemic Measures after Flood Disasters, as well as the latest research progress at home and abroad. In order to guide the sanitary and anti epidemic measures in flooded areas, protect the health and safety of students and teachers and ensure the normal educational and teaching order, the guideline introduces the key measures that should be taken by schools, teachers and students in flood striken areas.

Application values of progastrin-releasing peptide, neuron-specific enolase, cytokeratin 19 fragment antigen 21-1, squamous cell carcinoma antigen and human epididymis protein 4 in the diagnosis of lung cancer / 肿瘤研究与临床

Objective:To investigate the clinical values of progastrin-releasing peptide (Pro-GRP), neuron-specific enolase (NSE), cytokeratin 19 fragment antigen 21-1 (CYFRA21-1), squamous cell carcinoma antigen (SCCA) and human human epididymis protein 4 (HE4) detections in the diagnosis of lung cancer patients.Methods:The clinical data of 200 lung cancer patients who were admitted to the Second Affiliated Hospital of Xuzhou Medical University from January 2020 to December 2021 were retrospectively analyzed. According to the pathological type, the patients were divided into lung adenocarcinoma group (80 cases), lung squamous cell carcinoma group (75 cases) and small cell lung cancer group (45 cases). Fifty patients with benign lung diseases and 50 healthy physical examiners who were admitted to the hospital during the same period were selected. All the subjects were tested for the levels of Pro-GRP, NSE, CYFRA21-1, SCCA and HE4, and the differences of each index level in the subjects of different subgroups were compared. The receiver operating characteristic (ROC) curve was drawn, and using pathological diagnosis result as the gold standard, the diagnostic efficacy of each index alone and in combination for lung cancer was compared.Results:The serum levels of Pro-GRP, NSE, CYFRA21-1, SCCA and HE4 in lung cancer group were higher than those in the benign lung diseases group and the healthy control group (all P < 0.001). There were no statistical differences in the levels of serum Pro-GRP, NSE, CYFRA21-1, SCCA and HE4 between the benign lung diseases group and the healthy control group (all P > 0.05). The levels of Pro-GRP, NSE and HE4 in the small cell lung cancer group were higher than those in the lung adenocarcinoma group and the lung squamous cell carcinoma group (all P < 0.05). NSE and HE4 levels in the lung adenocarcinoma group were higher than those in the lung squamous carcinoma group (both P < 0.05), while CYFRA21-1 and SCCA levels were lower than those in the lung squamous carcinoma group (both P < 0.05). The AUC of lung cancer diagnosed by HE4 was the largest (0.813), the AUC of lung adenocarcinoma diagnosed by HE4 was the largest (0.824), the AUC of lung squamous carcinoma diagnosed by CYFRA21-1 was the largest (0.884), and the AUC of small cell lung cancer diagnosed by NSE was the largest (0.959). The AUC of lung cancer diagnosed by combined detection of 5 indicators was 0.951, the AUC of lung adenocarcinoma and small cell lung cancer diagnosed by combined detection of 5 indicators was 0.975 and 0.996, and the AUC of lung squamous cell carcinoma diagnosed by combined detection of CYFRA21-1, SCCA and HE4 was 0.967. Conclusions:The levels of Pro-GRP, NSE, CYFRA21-1, SCCA, HE4 and other indicators have certain clinical values in the diagnosis of lung cancer and its pathological types, and the combined detection of each index is more valuable than a single index.

Prognosis and correlation analysis of serum SAA, PCT and SF levels in children with severe mycoplasma pneumonia / 公共卫生与预防医学

Objective To analyze the prognosis of children with severe mycoplasma pneumonia (MPP) and its correlation with serum SAA, PCT and SF levels, so as to provide a basis for evaluating the prognosis of children with MPP. Methods A total of 273 children with MPP admitted to our hospital from January 2020 to December 2020 were divided into mild MPP children (n=187) and severe MPP children (n=86) according to the severity of their disease. According to the prognosis, children with severe MPP were divided into survival group (n=65) and death group (n=21). Serum SAA, PCT and SF levels were determined. Pearson correlation analysis was used to analyze the correlation between serum SAA, PCT and SF levels and APACHE ⅱ score. ROC curve was used to analyze the predictive value of serum SAA, PCT and SF levels for poor prognosis of children with severe MPP. Results The levels of serum SAA, PCT and SF and APACHE II score in children with severe MPP were significantly higher than those in children with mild MPP (P<0.05). Serum SAA, PCT and SF levels and APACHE II score in death group were significantly higher than those in survival group (P<0.05). Pearson correlation analysis showed that APACHE II score was positively correlated with serum SAA, PCT and SF levels (r =0.474,0.519,0.446,P<0.05). The AUC, sensitivity and specificity of combined ROC curve analysis to predict the prognosis of severe MPP were 0.871, 85.9% and 93.6% respectively, which were higher than those of SAA, PCT and SF alone. Conclusion SAA, PCT and SF are closely related to the prognosis of severe MPP, and can be used as potential markers to predict poor prognosis of severe MPP children.

Intelligent Electrocardiogram Analysis in Medicine: Data, Methods, and Applications / 中国医学科学杂志(英文版)

Electrocardiogram (ECG) is a low-cost, simple, fast, and non-invasive test. It can reflect the heart's electrical activity and provide valuable diagnostic clues about the health of the entire body. Therefore, ECG has been widely used in various biomedical applications such as arrhythmia detection, disease-specific detection, mortality prediction, and biometric recognition. In recent years, ECG-related studies have been carried out using a variety of publicly available datasets, with many differences in the datasets used, data preprocessing methods, targeted challenges, and modeling and analysis techniques. Here we systematically summarize and analyze the ECG-based automatic analysis methods and applications. Specifically, we first reviewed 22 commonly used ECG public datasets and provided an overview of data preprocessing processes. Then we described some of the most widely used applications of ECG signals and analyzed the advanced methods involved in these applications. Finally, we elucidated some of the challenges in ECG analysis and provided suggestions for further research.

Determining the Clinical Characteristics, Treatment Strategies, and Prognostic Factors for Mycoplasma pneumoniae Encephalitis in Children: A Multicenter Study in China

Background@#and Purpose Most of the knowledge of Mycoplasma pneumonia (M. pneumoniae) encephalitis (MPE) in children is based on case reports or small case series. This study aimed to describe the clinical features and prognostic factors of MPE, and the efficacy of azithromycin with or without immunomodulatory therapy. @*Methods@#The medical data of 87 patients with MPE from 3 medical centers in southwestern China over a 7-year period were reviewed. @*Results@#MPE was found in children of all ages except for neonates. The most common neurological manifestations included consciousness disturbance (90%) and headache (87.4%), the most common extraneurological manifestations included fever (96.5%) and respiratory system involvement (94.3%); multisystem involvement (98.2%) and elevated C-reactive protein (CRP) (90.8%) were also prominent. M. pneumoniae was detected in cerebrospinal fluid (CSF) less often than in blood and respiratory tract secretions. Azithromycin with intravenous immunoglobulin or/and corticosteroid treatment can shorten the hospitalization duration and the clinical improvement process. Most patients (82.8%) received a favorable prognosis; serum lactate dehydrogenase (LDH) and CSF protein levels were higher in the poor-outcome group than in the good-outcome group (p<0.05). Neurological sequelae are likely to continue when the onset of this condition occurs during teenage years. @*Conclusions@#MPE generally presented with nonspecific clinical manifestations. In children with acute encephalitis accompanied by multi-system involvement and prominently elevated CRP, M. pneumoniae should be considered as a possible pathogen. Immunomodulating therapies should be recommended regardless of the duration of the prodromal period. High CSF protein

Diagnosis and Treatment Reasoning of Integrated Traditional Chinese and Western Medicine Against Acute Abdomen Based on Knowledge Graph / 中国实验方剂学杂志

ObjectiveIn view of the standardization of clinical diagnosis and treatment of the acute abdomen and the inheritance of diagnosis and treatment experience of prestigious veteran traditional Chinese medicine（TCM） doctors， a diagnosis and treatment reasoning algorithm based on association rule mining under incomplete evidence（AMIE）+ random walk was proposed to provide information services and technical support for primary doctors by recommending personalized diagnosis and treatment plans based on medical records. MethodThe experience of diagnosis and treatment of acute abdomen of prestigious veteran TCM doctors and the text data of clinical diagnosis and treatment guidelines of integrated TCM and western medicine were collected to complete the task of knowledge extraction and construct acute abdomen knowledge graph based on Neo4j. On the basis of ontology-supported rule-based reasoning， the rule reasoning based on similar syndromes was used to expand the syndrome combinations whose Jaccard similarity was greater than the threshold in the syndrome recommendation results. The semantic path coverage algorithm was used to calculate the semantic similarity between the symptom nodes. The symptom nodes were divided into 10 categories， and the symptom nodes in the same category were extended. The random walk algorithm was used to search the symptom nodes connected with the syndrome， and the connection rules between the syndrome and symptom nodes were extended to realize the knowledge reasoning of AMIE+ random walk. ResultThe acute abdomen knowledge graph included 1 320 nodes and 2 464 relationships. According to the link prediction evaluation index of knowledge reasoning， the reasoning results of the three algorithms in the auxiliary diagnosis and treatment of acute abdomen were compared. The AMIE+ random walk algorithm complemented the knowledge graph by extending the similar syndrome connection rules and the syndrome-symptom connection rules. Compared with the knowledge reasoning algorithm based on ontology rules， the area under the curve （AUC） was 15.18% higher and the accuracy was 30.36% higher， which achieved more accurate and effective knowledge inference. ConclusionThis study used knowledge graph technology to visualize the diagnosis and treatment of acute abdomen with TCM and western medicine， assisting primary clinicians in intuitively viewing the diagnosis and treatment process and data relationship. The proposed diagnosis and treatment reasoning algorithm can realize the personalized diagnosis and treatment plan recommendation at the level of "disease-syndrome-diagnosis-treatment-prescription"， which can assist primary doctors in disease diagnosis and treatment and clinical decision-making， contribute to the knowledge sharing and application of diagnosis and treatment experience and clinical guidelines of prestigious veteran TCM doctors， improve the level of primary clinical diagnosis and treatment， and promote the normalization and standardization of the diagnosis and treatment process of acute abdomen with integrated TCM and western medicine.

Neutralization against SARS-CoV-2 Delta/Omicron variants and B cell response after inactivated vaccination among COVID-19 convalescents / 医学前沿

Emerging SARS-CoV-2 variants have made COVID-19 convalescents susceptible to re-infection and have raised concern about the efficacy of inactivated vaccination in neutralization against emerging variants and antigen-specific B cell response. To this end, a study on a long-term cohort of 208 participants who have recovered from COVID-19 was conducted, and the participants were followed up at 3.3 (Visit 1), 9.2 (Visit 2), and 18.5 (Visit 3) months after SARS-CoV-2 infection. They were classified into three groups (no-vaccination (n = 54), one-dose (n = 62), and two-dose (n = 92) groups) on the basis of the administration of inactivated vaccination. The neutralizing antibody (NAb) titers against the wild-type virus continued to decrease in the no-vaccination group, but they rose significantly in the one-dose and two-dose groups, with the highest NAb titers being observed in the two-dose group at Visit 3. The NAb titers against the Delta variant for the no-vaccination, one-dose, and two-dose groups decreased by 3.3, 1.9, and 2.3 folds relative to the wild-type virus, respectively, and those against the Omicron variant decreased by 7.0, 4.0, and 3.8 folds, respectively. Similarly, the responses of SARS-CoV-2 RBD-specific B cells and memory B cells were boosted by the second vaccine dose. Results showed that the convalescents benefited from the administration of the inactivated vaccine (one or two doses), which enhanced neutralization against highly mutated SARS-CoV-2 variants and memory B cell responses. Two doses of inactivated vaccine among COVID-19 convalescents are therefore recommended for the prevention of the COVID-19 pandemic, and vaccination guidelines and policies need to be updated.

Anesthesia Depth Monitoring Based on Anesthesia Monitor with the Help of Artificial Intelligence / 中国医疗器械杂志

OBJECTIVE@#To use the low-cost anesthesia monitor for realizing anesthesia depth monitoring, effectively assist anesthesiologists in diagnosis and reduce the cost of anesthesia operation.@*METHODS@#Propose a monitoring method of anesthesia depth based on artificial intelligence. The monitoring method is designed based on convolutional neural network (CNN) and long and short-term memory (LSTM) network. The input data of the model include electrocardiogram (ECG) and pulse wave photoplethysmography (PPG) recorded in the anesthesia monitor, as well as heart rate variability (HRV) calculated from ECG, The output of the model is in three states of anesthesia induction, anesthesia maintenance and anesthesia awakening.@*RESULTS@#The accuracy of anesthesia depth monitoring model under transfer learning is 94.1%, which is better than all comparison methods.@*CONCLUSIONS@#The accuracy of this study meets the needs of perioperative anesthesia depth monitoring and the study reduces the operation cost.

Novel Pulmonary Nodule Position Detection Method Based on Multiscale Convolution / 中国医疗器械杂志

OBJECTIVE@#In order to improve the accuracy of the current pulmonary nodule location detection method based on CT images, reduce the problem of missed detection or false detection, and effectively assist imaging doctors in the diagnosis of pulmonary nodules.@*METHODS@#Propose a novel method for detecting the location of pulmonary nodules based on multiscale convolution. First, image preprocessing methods are used to eliminate the noise and artifacts in lung CT images. Second, multiple adjacent single-frame CT images are selected to be concatenate into multi-frame images, and the feature extraction is carried out through the artificial neural network model U-Net improved by multi-scale convolution to enhanced feature extraction capability for pulmonary nodules of different sizes and shapes, so as to improve the accuracy of feature extraction of pulmonary nodules. Finally, using point detection to improve the loss function of U-Net training process, the accuracy of pulmonary nodule location detection is improved.@*RESULTS@#The accuracy of detecting pulmonary nodules equal or larger than 3 mm and smaller than 3 mm are 98.02% and 96.94% respectively.@*CONCLUSIONS@#This method can effectively improve the detection accuracy of pulmonary nodules on CT image sequence, and can better meet the diagnostic needs of pulmonary nodules.

Analysis on incidence of occupational diseases in Guangzhou from 2010 to 2020 / 中华劳动卫生职业病杂志

Objective: To analyze the incidence characteristics of occupational diseases in Guangzhou from 2010 to 2020, provide scientific basis for formulating occupational disease prevention and control policies. Methods: In January 2021, based on the data of occupational diseases in Guangzhou reported in the Information Monitoring System of Occupational Diseases and Occupational Health, descriptive epidemiological method was used to analyze the types and characteristics of occupational diseases in Guangzhou from 2010 to 2020. Results: A total of 1341 cases of 38 kinds of occupational diseases in 9 categories were reported in the past 11 years. The incidence of occupational pneumoconiosis, occupational otolaryngology and oral diseases and occupational chemical poisoning ranked the top three, accounting for 38.1% (511/1341) , 30.5% (409/1341) and 16.2% (217/1341) of the total cases respectively. The cases of pneumoconiosis in welders and silicosis accounted for 47.7% (244/511) and 34.4% (176/511) of the cases of occupational pneumoconiosis respectively. The cases of noise deafness accounted for 99.8% (408/409) of occupational otorhinolaryngology oral diseases. Acute occupational chemical poisoning cases accounted for 26.7% (58/217) of the occupational chemical poisoning cases, in which dichloroethane poisoning cases ranked the first, accounting for 79.3% (46/58) . Chronic occupational chemical poisoning cases accounted for 73.3% (159/217) of the occupational poisoning cases, in which benzene and lead poisoning cases ranked the top two, accounting for 79.2% (126/159) and 17.6% (28/159) respectively. Conclusion: Pneumoconiosis, silicosis, noise deafness, benzene poisoning, lead poisoning, dichloroethane poisoning should be supervised and managed as key occupational diseases in Guangzhou.

Analysis on the diagnosis of suspected occupational diseases in Guangzhou from 2014 to 2019 / 中华劳动卫生职业病杂志

Objective: To understand the diagnosis of suspected occupational diseases reported in Guangzhou from 2014 to 2019, so as to provide theoretical basis and technical support for the supervision of suspected occupational disease reports. Methods: By cluster sampling, the suspected occupational disease report card, occupational disease report card and pneumoconiosis report card reported by Guangzhou from January 1, 2014 to December 31, 2019 in the occupational disease and occupational health information monitoring system were collected for matching analysis to understand the diagnosis of suspected occupational disease patients. Results: From 2014 to 2019, a total of 1426 suspected occupational cases in 7 categories and 32 species were reported in Guangzhou. The average number of reported cases per year was about 240. The main diseases of suspected occupational diseases were suspected occupational noise deafness (68.44%, 976/1426) , suspected occupational chronic benzene poisoning (16.48%, 235/1426) , suspected occupational other pneumoconiosis (4.84%, 69/1426) , suspected occupational silicosis (3.23%, 46/1426) and suspected occupational welder pneumoconiosis (1.82%, 26/1426) . The diagnostic rate required to enter the occupational disease diagnostic program is 36.61% (522/1426) , and the diagnostic rate is 59.20% (309/522) . In 2019, the diagnosis rate of suspected occupational diseases was the lowest (23.92%, 61/255) , Huadu District was the lowest (8.33%, 9/108) , suspected occupational pneumoconiosis was the lowest (28.03%, 44/157) , the diagnosis rate of suspected occupational diseases reported by the Centers for Disease control and prevention was the lowest (17.43%, 19/109) , and the diagnosis rate of suspected occupational diseases reported by outpatient treatment was the lowest (22.22%, 2/9) . The suspected occupational diseases reported by institutions outside Guangzhou did not enter the occupational disease diagnosis procedure. Suspected occupational skin diseases, suspected occupational diseases caused by physical factors and suspected occupational tumors were diagnosed, and the diagnosis rate of occupational disease prevention and control institutions was the highest (94.87%, 37/39) . Conclusion: The main types of suspected occupational diseases reported during these six years are noise deafness, chronic benzene poisoning and pneumoconiosis. The overall diagnosis rate and diagnosis rate of suspected occupational diseases are not high. It is suggested to improve the network direct reporting system of suspected occupational diseases and strengthen the follow-up management and supervision of suspected occupational diseases.

Determination of methylene blue release in plasma virus inactivation bag by fluorescence energy transfer method / 中国输血杂志

【Objective】 To establish a simple, economical and rapid method for the determination of methylene blue (MB) release in virus inactivation bag. 【Methods】 Based on the fluorescence energy transfer between MB and BSA-stabilized gold nanoclusters (BSA-AuNCs), the standard curve of MB determination was established by measuring the fluorescence quenching degree of MB to BSA-AuNCs in different concentrations to conduct the determination of MB release in virus inactivation bag. 【Results】 There was a good linear relationship between the MB concentration (cMB) and the fluorescence quenching degree of BSA-AuNCs[ (I0-I)/I0=0.018cMB+ 0.021(r=0.996)] when the fluorescence emission wavelength was about 620 nm and the cMB was in the range of (0.9-36) μmoL/L. The recovery of MB was 98.00% -101.95 % when applied to determine MB at high, medium, and low concentrations, the obtained intra-day variation coefficients were 0.73%, 0.81% and 0.77% respectively, and the obtained inter-day variation coefficients were 3.92%, 3.81%, and 4.73% respectively. There was no significant difference between the results measured by this method and those measured by combination of solid-phase extraction and spectrophotometry(P>0.05). 【Conclusion】 The fluorescence energy transfer method could achieve simple and rapid determination of MB release in virus inactivation bag with accurate and reliable results.

Mechanism of Cervi Cornu Pantotrichum in Treatment of Osteoarthritis Based on Network Pharmacology / 中国实验方剂学杂志

ObjectiveTo explore the mechanism of Cervi Cornu Pantotrichumin in the treatment of osteoarthritis by network pharmacology. MethodThe active ingredients and the corresponding targets of Cervi Cornu Pantotrichumin were screened out by a Bioinformatics Analysis Tool of Molecular mechANism of Traditional Chinese Medicine （BATMAN-TCM）. The targets related to osteoarthritis were obtained through GeneCards and Online Mendelian Inheritance in Man （OMIM）. The targets corresponding to the active ingredients and those related to osteoarthritis were intersected to reveal the common targets， and STRING was adopted to build a protein-protein interaction （PPI） network. DAVID was used for gene ontology （GO） annotation and Kyoto encyclopedia of genes and genomes （KEGG） pathway enrichment on the anti-osteoarthritis targets of Cervi Cornu Pantotrichumin， and R x64 3.6.3 was employed to produce the advanced bubble charts of GO terms and KEGG pathways. Cytoscape 3.7.2 was used to establish the “Chinese medicinal herb-active ingredient-target-signaling pathway” network. In vitro experiments were performed to detect the viability of RAW 264.7 cells exposed to oxidative stress and the tumor necrosis factor （TNF）-α level in RAW 264.7 cells with inflammation under the treatment by Cervi Cornu Pantotrichumin. ResultA total of 20 active ingredients of Cervi Cornu Pantotrichum were obtained， of which ceramide， 6'-O-β-D-glucosylgentiopicroside， cerebroside， oleuropein， sphingomyelin， and cholesterol ferulate did not meet the screening conditions. Therefore， a total of 14 active ingredients were finally screened out， and 303 and 3 093 targets of active ingredients and osteoarthritis were respectively obtained. The two target sets were taken to intersect， which revealed 92 common targets. GO annotation and KEGG pathway enrichment showed that the targets were mainly involved in redox process， positive regulation of RNA polymerase Ⅱ promoter transcription， inflammatory response， protein synthesis， osteoclast differentiation， TNF signaling pathway， signaling pathways in cancer， mammalian target of rapamycin （mTOR） signaling pathway， mitogen-activated protein kinase （MAPK） signaling pathway， and cyclic adenosine monophosphate （cAMP） signaling pathway. The results of in vitro experiments showed that a certain concentration of protein in Cervi Cornu Pantotrichum significantly increased the viability of RAW 264.7 cells exposed to H2O2-induced oxidative damage （P<0.05， P<0.01） and reduced the level of TNF-α in the RAW 264.7 cells experiencing lipopolysaccharide （LPS）-induced inflammation （P<0.05）. ConclusionBased on the network pharmacology method， the mechanism of the multi-component， multi-target and multi-pathway treatment of OA by antler antler was explained， and the anti-inflammatory and antioxidant activities of antler antler were confirmed， which provided theoretical guidance and scientific basis for further research on the treatment of OA by antler antler.

KIF17 Modulates Epileptic Seizures and Membrane Expression of the NMDA Receptor Subunit NR2B / 神经科学通报·英文版

Epilepsy is a common and severe brain disease affecting >65 million people worldwide. Recent studies have shown that kinesin superfamily motor protein 17 (KIF17) is expressed in neurons and is involved in regulating the dendrite-targeted transport of N-methyl-D-aspartate receptor subtype 2B (NR2B). However, the effect of KIF17 on epileptic seizures remains to be explored. We found that KIF17 was mainly expressed in neurons and that its expression was increased in epileptic brain tissue. In the kainic acid (KA)-induced epilepsy mouse model, KIF17 overexpression increased the severity of epileptic activity, whereas KIF17 knockdown had the opposite effect. In electrophysiological tests, KIF17 regulated excitatory synaptic transmission, potentially due to KIF17-mediated NR2B membrane expression. In addition, this report provides the first demonstration that KIF17 is modified by SUMOylation (SUMO, small ubiquitin-like modifier), which plays a vital role in the stabilization and maintenance of KIF17 in epilepsy.

Association of Increased Amygdala Activity with Stress-Induced Anxiety but not Social Avoidance Behavior in Mice / 神经科学通报·英文版

Chronic stress leads to many psychiatric disorders, including social and anxiety disorders that are associated with over-activation of neurons in the basolateral amygdala (BLA). However, not all individuals develop psychiatric diseases, many showing considerable resilience against stress exposure. Whether BLA neuronal activity is involved in regulating an individual's vulnerability to stress remains elusive. In this study, using a mouse model of chronic social defeat stress (CSDS), we divided the mice into susceptible and resilient subgroups based on their social interaction behavior. Using in vivo fiber photometry and in vitro patch-clamp recording, we showed that CSDS persistently (after 20 days of recovery from stress) increased BLA neuronal activity in all the mice regardless of their susceptible or resilient nature, although impaired social interaction behavior was only observed in susceptible mice. Increased anxiety-like behavior, on the other hand, was evident in both groups. Notably, the CSDS-induced increase of BLA neuronal activity correlated well with the heightened anxiety-like but not the social avoidance behavior in mice. These findings provide new insight to our understanding of the role of neuronal activity in the amygdala in mediating stress-related psychiatric disorders.

To explore medication adherence of patients with type 2 diabetes mellitus using the latent profile analysis based on the Big Five personality theory / 北京大学学报(医学版)

OBJECTIVE@#To explore the personality portraits of patients with type 2 diabetes mellitus (T2DM), its relationship with medication adherence and the influencing factors of medication adherence.@*METHODS@#T2DM patients from 22 community health service stations of 4 community health service centers in Tongzhou district and Shunyi district in Beijing were selected as the research objects. A self-designed questionnaire was used to collect demographic information. The short version of Big Five personality scale was used to collect personality information, and latent profile analysis was used to explore their personality portraits. The medication adherence was evaluated by medication adherence scale, and the difference of medication adherence among the different personality portraits was explored by analysis of variance. The influencing factors of medication adherence were explored by the ordinal Logistic regression model.@*RESULTS@#In the study, 751 T2DM patients were included. Latent profile analysis showed that the T2DM patients in this study could be divided into four types of personality portraits, including introverted and stable type (42.7%), negative type (12.7%), anxiety type (15.3%) and active and responsible type (29.3%). Among them, 75 patients said that they did not use medicine or insulin, 5 patients were lack of data, and finally 671 patients with T2DM were included in the analysis about medication adherence. The analysis of variance showed that there was no significant difference in medication adherence between anxiety type (5.55±1.65) and negative type (5.94±1.53, P=0.089), but the medication adherence score of anxiety type was significantly lower than that of introverted and stable type (6.17±1.46, P=0.001) and active and responsible type (6.09±1.65, P=0.004). Anxiety type and negative type were seen as a whole in the ordinal Logistic regression model named anxiety and negative type. The results showed that compared with anxiety and negative type, the active and responsible type or introverted and stable type was the protective factor for good medication adherence (OR=1.567, 95%CI: 1.096-2.237; OR=1.774, 95%CI: 1.214-2.591), and the education level also affected the medication adherence.@*CONCLUSION@#T2DM can be classified into four types of personality portraits based on Big Five personality theory. The anxiety and negative type after the combination of anxiety type and negative type is the independent risk factor for poor medication adherence. In addition, education level is also the influencing factor of medication compliance.

Rule mining of acupoint and medication selection of acupoint application therapy for functional constipation / 中国针灸

OBJECTIVE@#To analyze the rules of acupoint and medication selection of acupoint application therapy for functional constipation (FC) by data mining technology.@*METHODS@#The clinical research literature regarding acupoint application therapy for FC from published to February 26, 2020 was searched in CNKI, VIP, Wanfang, SinoMed and PubMed. The prescriptions were extracted, and by using SPSS24.0 and SPSS Modeler14.0 software, the use of high-frequency acupoints and medication was summarized. The association rule analysis, cluster analysis and core prescription analysis of acupoints and medication were analyzed.@*RESULTS@#A total of 122 prescriptions of acupoint application therapy were included, involving 32 acupoints. The core prescription of acupoints was Tianshu (ST 25), Dachangshu (BL 25), Shenque (CV 8) and Guanyuan (CV 4). The high-frequency meridians mainly included conception vessel, @*CONCLUSION@#The use of local acupoint and regulating-

Visual analysis of literature knowledge structure and acupoint matching rules of acupuncture for depression / 中国针灸

OBJECTIVE@#To analyze the literature knowledge structure and acupoint matching rules of acupuncture for depression.@*METHODS@#The articles regarding acupuncture for depression published from January 1 of 1984 to October 19 of 2020 were searched in CNKI database. CiteSpace5.7.R2 software was used to import the literature data, and the keyword cluster analysis, emergence analysis and time-zone analysis of articles and acupoints were conducted, and the map of scientific knowledge was draw.@*RESULTS@#A total of 3524 articles were included to the knowledge structure analysis, while 601 articles into the acupoint matching rules analysis. There were 13 keyword clusters of acupuncture for depression, with "post-stroke depression" and "electroacupuncture treatment" as high-frequency keywords, and "electroacupuncture treatment" and "Hamilton depression scale" had high centrality, and "electroacupuncture treatment" had the highest emergence intensity. The keywords such as "electroacupuncture treatment" and "Hamilton depression scale", etc. appeared the earliest, followed by "post-stroke depression", "fluoxetine" and "auricular point therapy", etc. According to traditional Chinese medicine theory, acupoint keywords were divided into four clusters: ①core acupoint, ②replenishing-spleen and dispelling phlegm, dispersing-liver and relieving depression, reinforcing @*CONCLUSION@#The main knowledge structure of acupuncture for depression includes five parts: treatment method, depression type, TCM-related diseases, literature type and curative effect index. Clinical acupoint matching should adhere to the principle of "focusing the disease before syndrome" and "combination of disease and syndrome", and treatment should be modified for the syndromes of phlegm stagnation blocking, liver-stagnation and

National surveillance of schistosomiasis morbidity in China, 2015—2019 / 中国血吸虫病防治杂志

Objective To understand the morbidity due to Schistosoma japonicum in national schistosomiasis surveillance sites of China from 2015 to 2019, so as to provide insights into schistosomiasis control and elimination and provide the scientific evidence for formulating the new scheme for schistosomiasis surveillance in China. Methods According to the requirements of National Scheme for Schistosomiasis Surveillance in China (2014 Edition), national schistosomiasis surveillance sites were assigned in all schistosomiasis-endemic counties (cities, districts) and the potential endemic counties (cities, districts) in the Three Gorges Reservoir areas, and S. japonicum infections were monitored in local residents, mobile populations and livestock according to different epidemic types. The sero-prevalence of S. japonicum infections, adjusted prevalence of human S. japonicum infections, characteristics of egg-positive individuals and prevalence of S. japonicum infections livestock were analyzed. Results S. japonicum infections were monitored in 453 schistosomiasis-endemic counties (cities, districts) from 13 provinces (municipalities, autonomous regions) and 4 potential endemic counties (cities, districts) from the Three Gorges Reservoir areas in China from 2015 to 2019. During the 5-year period from 2015 to 2019, the sero-prevalence of S. japonicum infections reduced from 3.35% to 1.63% among local residents and from 1.15% to 0.75% among mobile populations, while the adjusted prevalence of infections reduced from 0.05% to 0 among local residents and from 0.20% to 0.001 03% among mobile populations. There were significant differences in the sero-prevalence of S. japonicum infections among local residents and mobile populations in terms of province, occupation and age (all P values < 0.05). A total of 132 egg-positives were identified during the 5-year period, including 97 local residents (inter-quartile range for ages, 47 to 61 years), and 35 mobile populations (inter-quartile range for ages, 26 to 48 years), and there was a significant difference in the age distribution between local residents and mobile populations (P < 0.05). There were totally 6 bovines (5 in 2015 and 1 in 2016) identified with S. japonicum infections in national schistosomiasis surveillance sites of China, with no S. japonicum infections detected in bovines from 2017 to 2019. Conclusions The prevalence of schistosomiasis is very low in China. Further surveillance including more mobile surveillance sites seems justified to identify the risk of schistosomiasis as soon as possible and interrupt the transmission route, so as to facilitate the elimination of schistosomiasis in China.