Objective Depression,a most common psychiatric disease,is defined in Traditional Chinese Medicine(TCM)as Yu Syndrome,i.e.,depression disorder,or Baihe Disease,i.e.,lily bulb disease,a category of emotional disorders treated with lily-based TCM preparations.In TCM,depression is managed through syndrome differentiation and treatment,which is characterized by high efficacy and safety.However,there is no unified standard for the classification of depression syndromes,which leads to a disconnection between the analysis of patients'medication patterns and their actual syndromes and hinders the study of medication patterns specific to particular syndromes.Therefore,this study is focused on investigating the medication patterns of different sub-types of depression patients based on an objective classification system of depression.Methods We searched for and retrieved clinical literature on TCM formulas for depression from relevant databases,including China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP Database,Sinomed,Web of Science,and PubMed.Information on patient symptoms and medication was standardized.Then,the symptoms and the medication frequency of depression patients were statistically analyzed.We used the K-means clustering method combined with implicit structural analysis to objectively categorize depression patients into sub-types.In addition,the main symptoms and core TCM formulas of each sub-type of depression patients were identified.On the basis of objective classification system,we also statistically analyzed the characteristics of herbs used on depression patients,including the 4 basic properties,the 5 flavors,the attributes,the therapeutic efficacy,and the co-occurrence patterns,which may help reveal the medication patterns.Results A total of 3 537 publications and 4 434 prescriptions were included in the analysis.By using the K-means algorithm and latent structure analysis methods,patients with depression were categorized into 9 sub-types,with Cluster 6 accounting for the largest proportion.The most common symptoms among depression patients were insomnia and a depressed mood.Medication frequency analysis showed that Radix Bupleuri(Chai Hu),Radix Paeoniae Alba(Bai Shao),Poria(Fu Ling),Rhizoma Chuanxiong(Chuan Xiong),and Radix Curcumae(Yu Jin)were the most commonly used TCM herbs.For the depression sub-types of Clusters 1,2,and 6,blood-activating and stasis-dissolving herbs were used most often.The depression sub-types of Clusters 3,4,5,8,and 9 were mainly treated with qi-regulating herbs,while the depression sub-type of Cluster 7 was treated with qi-supplementing herbs.Depression patients were mostly treated with herbs that were cold or warm in nature and had sweet,bitter,and pungent flavors.Moreover,treatments for Cluster 1 and Cluster 6 mainly targeted the spleen meridian,while those for Cluster 2,Cluster 3,Cluster 4 and Cluster 5 mainly targeted the heart meridian.The treatments for the other sub-types mainly targeted the liver meridian.The core TCM formulas for the 9 depression sub-types included Zishui Qinggan Decoction,Danzhi Xiaoyao Powder,Huanglian Wendan Tang,Chaihu Guizhi Tang,Modified Xiaoyao Powder,Qinggan Jieyu Tang,Xiaoyao Powder,Xuefu Zhuyu Decoction,and Bazhen Decoction.The most commonly used Chinese herbal medicinal formulas were Gan Cao-Chai Hu,Bai Shao-Chai Hu,and Chen Pi-Chai Hu.Conclusion Based on machine learning,this study reveals the scientific aspects of TCM typing and syndrome-based treatment.It clarifies the rationale for targeting different symptoms in depression treatment and provides theoretical support for clinicians to make medication prescriptions.It also presents a new perspective for investigating TCM medication patterns.

Objective To understand the prevalence and risk factors of hyperuricemia in electronics factory workers in Wuhan, and to provide evidence for the health protection of electronics factory workers. Methods A total of 1 415 employees in an electronics factory in Wuhan were selected as the research subjects, and the physical examination and determination of various biochemical indicators, as well as questionnaire survey were carried out. Results The detection rate of hyperuricemia among workers in the electronics factory in Wuhan was 32.43%, with 36.33% for men and 14.11% for women, and the difference was statistically significant ( χ²＝46.077，P＜0.001). The detection rate of hyperuricemia was the highest (33.77%) among those with university or college education, followed by graduate students and above (31.50%). Compared with subjects with good lifestyle habits, people with drinking habits had higher hyperuricemia detection rate (49.38%), and the difference was statistically significant (P =0.001). The detection rates of hyperuricemia in those with central obesity and elevated alanine aminotransferase were 48.23% and 61.29%, respectively, which were significantly higher than those in the subjects without the above diseases (26.91% and 27.21%, respectively), and the differences were statistically significant (P <0.001). Obese people had the highest detection rate of hyperuricemia (66.95%), followed by overweight people (43.75%), and the difference was statistically significant (P <0.001). Multivariate logistic analysis showed that alcohol drinking (OR=1.836, 95% CI=1.139-2.961, P =0.013) and body mass index ≥ 24 kg/m² (OR=2.175, 95% CI=1.686 -2.806, P <0.001) were risk factors for hyperuricemia in electronic factory workers. Elevated alanine aminotransferase (ALT) was significantly correlated with hyperuricemia (OR=2.964, 95%CI=2.146-4.095 , P <0.001). Female gender was a protective factor for hyperuricemia in workers in the electronics factory (OR=0.441, 95%CI=0.297-0.653 , P <0.001). Conclusion The detection rate of hyperuricemia among workers in an electronics factory in Wuhan is high, and the detection rate of hyperuricemia in men is higher than that in women. Alcohol consumption, overweight and obesity will increase the risk of hyperuricemia. Elevated ALT is associated with hyperuricemia. Maintaining an ideal body mass index and establishing a good lifestyle play an important role in preventing hyperuricemia.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. Fat accumulation "sensitizes" the liver to insult and leads to nonalcoholic steatohepatitis (NASH). G protein-coupled receptor 35 (GPR35) is involved in metabolic stresses, but its role in NAFLD is unknown. We report that hepatocyte GPR35 mitigates NASH by regulating hepatic cholesterol homeostasis. Specifically, we found that GPR35 overexpression in hepatocytes protected against high-fat/cholesterol/fructose (HFCF) diet-induced steatohepatitis, whereas loss of GPR35 had the opposite effect. Administration of the GPR35 agonist kynurenic acid (Kyna) suppressed HFCF diet-induced steatohepatitis in mice. Kyna/GPR35 induced expression of StAR-related lipid transfer protein 4 (STARD4) through the ERK1/2 signaling pathway, ultimately resulting in hepatic cholesterol esterification and bile acid synthesis (BAS). The overexpression of STARD4 increased the expression of the BAS rate-limiting enzymes cytochrome P450 family 7 subfamily A member 1 (CYP7A1) and CYP8B1, promoting the conversion of cholesterol to bile acid. The protective effect induced by GPR35 overexpression in hepatocytes disappeared in hepatocyte STARD4-knockdown mice. STARD4 overexpression in hepatocytes reversed the aggravation of HFCF diet-induced steatohepatitis caused by the loss of GPR35 expression in hepatocytes in mice. Our findings indicate that the GPR35-STARD4 axis is a promising therapeutic target for NAFLD.

Objective:To screen the key exosomal long non-coding RNAs (lncRNAs) molecules that cause nasopharyngeal carcinoma cells to develop chemoradiotherapy resistance.Methods:In vitro, a model of concurrent chemoradiotherapy for human nasopharyngeal carcinoma cells was constructed, and the continuous shock method of high-dose concurrent chemoradiotherapy was used to induce the establishment of chemoradiotherapy-resistant nasopharyngeal carcinoma cell lines, and its resistance formation was verified. Exosomes produced by chemoradiotherapy-resistant cell lines and respective mother cell lines for nasopharyngeal carcinoma were extracted and identified. Finally, biochip technology was used to detect the differential expression levels of exosomal lncRNAs. Results:After 10 repeated treatments of concurrent chemoradiotherapy, CNE-1 CRR and CNE-2 CRR were successfully obtained. Compared with the mother cell lines, CNE-1 CRR and CNE-2 CRR had a tendency to transform from epithelial to interstitial morphology, and the number of cell clones was higher, and the values of average lethal dose (D 0), quasi-threshould dose (D q), survival fraction after 2 Gy irradiation (SF 2) and cell survival rate were higher. Nasopharyngeal carcinoma cells were detected by PCR chip of exosomal lncRNAs. Compared with their respective mother cell lines, 18 lncRNAs in CNE-1 CRR exosomes were significantly up-regulated and 31 lncRNAs were significantly down-regulated, and 15 lncRNAs were significantly up-regulated and 38 lncRNAs were significantly down-regulated in CNE-2 CRR exosomes. CNE-1 CRR also had similar expression profiles to CNE-2 CRR. Conclusion:There are significantly up-regulated and down-regulated lncRNAs in the exosomes of CNE-1 CRR and CNE-2 CRR.

Objective:To assess the imaging characteristics of muscle FDG metabolism, tumor incidence, and pulmonary interstitial changes in patients with anti-melanoma differentiation-associated gene 5 (MDA5) antibody positivity in 18F-FDG PET/CT imaging, and the value of 18F-FDG PET/CT in differentiating anti-MDA5 antibody positive dermatomyositis. Methods:From June 2016 to July 2019, the PET/CT images of 75 patients with dermatomyositis (21 males, 54 females, age (52.3±14.3) years; 34 anti-MDA5 antibody positive and 41 anti-MDA5 antibody negative) and 30 healthy controls (10 males, 20 females; age (53.5±11.8) years) were retrospectively analyzed in Renji Hospital, School of Medicine, Shanghai Jiao Tong University. The SUV max of muscle was measured and the mean of SUV max (mSUV max) was calculated. Statistics of patients with dermatomyositis complicated with neoplastic lesions and the SUV max of pneumonia lesions in patients with dermatomyositis complicated with interstitial pneumonia was determined. Independent sample t test, one-way analysis of variance, Student-Newman-Keuls (SNK) test and χ2 test were used to analyze data. The ROC curve analysis was used to analyze the diagnostic efficacy of mSUV max for the differential diagnosis of anti-MDA5 antibody positive dermatomyositis. Results:The muscle mSUV max of the control group, anti-MDA5 antibody positive and negative groups were 0.39±0.05, 0.66±0.21 and 0.87±0.29 ( F=39.93, P<0.001), respectively. The muscle mSUV max of dermatomyositis patients was increased compared with healthy controls ( q values: 6.76, 12.63, both P<0.001), and the muscle mSUV max of anti-MDA5 antibody negative was higher than positive ( q=5.79, P<0.001). The AUC was 0.74, and the cut-off value of muscle mSUV max was 0.75 with the accuracy of 74.7%(56/75). Of 41 patients with negative anti-MDA5 antibody, there were 6 (14.6%) had malignant tumor, while there was no malignant tumor in patients with positive anti-MDA5 antibody (0/34; χ2=5.41, P=0.020). There were 11 patients (26.8%, 11/41) with anti-MDA5 antibody negative dermatomyositis complicated with interstitial pneumonia and 33 patients (97.1%, 33/34) with anti-MDA5 antibody positive dermatomyositis complicated with interstitial pneumonia ( χ2=37.81, P<0.001). FDG metabolism in anti-MDA5 antibody positive patients was higher than that in anti-MDA5 antibody negative patients (lesion SUV max: 3.65±1.83 and 2.38±1.27; t=2.13, P=0.039). Conclusions:The muscle FDG metabolism of anti-MDA5 antibody positive dermatomyositis patients is higher than that of healthy controls, but lower than that of anti-MDA5 antibody negative patients. The incidence of neoplastic lesions in patients with positive anti-MDA5 antibody is lower than that in patients with negative anti-MDA5 antibody. The proportion and severity of interstitial pneumonia are higher in patients with positive anti-MDA5 antibody than in those with negative anti-MDA5 antibody. 18F-FDG PET/CT has certain value on identifying anti-MDA5 antibody positive dermatomyositis.

Objective:To investigate the effects of long non-coding RNA (lncRNA) Gm13568 on the activation of A1 astrocytes and the progress of experimental autoimmune encephalomyelitis (EAE) in mice.Methods:A recombinant lentiviral vector (LV-Inhibit-Gm13568) carrying astrocyte-specific promoter of glial fibrillary acidic protein (GFAP) was established to inhibit the function of endogenous Gm13568. A control vector (LV-ctrl) was established as well. The recombinant vectors were packaged. C57BL/6 mice were injected with 1×10 7 transforming units of viral suspension via the tail vein and 7 d after the injection, myelin oligodendrocyte glycoprotein 35-55 (MOG 35-55) was used to establish the mouse model of EAE. Four groups, PBS group, EAE group, LV-ctrl+ EAE group and LV-Inhibit-Gm13568+ EAE group, were included in this study. Clinical signs of the mice were monitored daily in a double-blinded manner. The mice were sacrificed 23 d after the EAE model was established and the spinal cord tissues were collected. The expression of Serping 1, C3, Srgn and H2-T23 at mRNA level was detected by real-time PCR. Changes in the expression of IL-6, TNF-α, macrophage chemotactic protein-1 (MCP-1) and interferon-inducible protein-10 (IP-10) were measured. Western blot was used to investigate the expression of GFAP and Notch1 in spinal cord tissues and the phosphorylation of signal transduction and transcription activator 3 (STAT3). The expression of Notch1 intracellular domain (NICD) and GFAP in spinal cord tissues was detected by immunofluorescence. Furthermore, the infiltration of inflammatory cells and the demyelination of spinal cord were observed using HE and Luxol fast blue (LFB) staining methods. Results:Compared with PBS group, A1 astrocytes were activated and Notch1 expression was significantly up-regulated in EAE group and LV-ctrl+ EAE group. The clinical score of mice in LV-Inhibit-Gm13568+ EAE group was decreased from an average score of 3.5 to less than 1 on 23 d after antigen induction and the clinical symptoms were alleviated as compared with the mice in LV-ctrl+ EAE group. Meanwhile, the activation of A1 astrocytes was down-regulated, and the production of inflammatory cytokines and chemokines was also reduced. The expression of Notch1, GFAP and NICD at protein level and the phosphorylation of STAT3 were significantly reduced. Moreover, the infiltration of inflammatory cells and demyelination of spinal cord tissues were alleviated significantly.Conclusions:LncRNA Gm13568 might regulate the activation of A1 astrocytes via the Notch1/STAT3 pathway, thus affecting the production of inflammatory cytokines and chemokines and participating in the process of EAE.

Objective To explore the virulence of enterovirus 71 from infected children in neonatal mice. Methods Three strains of EV71 were isolated from the mild, severe and dead patients. Symptoms, weight and death of mice were recorded throughout 14 days. The mice were sacrificed on the first, third, fifth, seventh and ninth days post infection to gain the tissue virus load including the liver, spleen, lung, intestine, brain and muscle tissue which were used to detect the virus tilter by real-time RT-QPCR, and pathological lesions using HE staining. Results As to the severity of symptoms, no significant difference was found between the severe and mild groups (P＝0. 693), which were more serious than that of the fatal group. (P＝0. 000 ＜ 0. 05/6, P＝0. 000 ＜ 0. 05/6). The survival rate of the mice with mild, severe and fatal virus infection was 77. 2%, 81. 7% and 97. 8%, respectively, and there was a significant difference among the three groups (P＝0. 0010 ＜ 0. 05, P＝0. 001 ＜ 0. 05, P＝0. 0004 ＜ 0. 05). Lung hemorrhage of the mild group was the most serious, and there were no significant differences in pathological lesions of the brain, muscle, spleen and intestine. Virus titer in the liver and muscle was higher than the other tissues and that in mild group of different tissues tended to be higher than the other two groups. Conclusions Neonatal mice infected with the mild strain of enterovirus 71 presents heaviest symptoms, which are not consistent with the outcomes of humans. It is considered to be related to the virus gene, host and other factors.

Objective To use the fluorescence PCR‐melting curve method to detect CYP2C9 and VKORC1 gene polymorphism in Xinjiang Hui population ,to analyze their gene distribution and gene mutation frequency ,and to evaluate the clinical applicability of the fluorescence PCR‐melting curve method .Methods The fluorescence PCR‐melting curve method and sequencing method were adopted to contrastively detect CYP2C9*2 ,CYP2C9*3 and VKORC1(‐1639G/A)gene polymorphism .Results Among detected 228 Xinjiang Hui individuals ,199 cases of CYP2C9*1/*1 ,2 cases of CYP2C9*1/*2 ,26 cases of CYP2C9*1/*3 and only 1 case of CYP2C9*3/*3 were detected ,no case of CYP2C9*2/*2 and CYP2C9*2/*3 was detected .Two kinds of allele G and A were detected for VKORC1(‐1639G/A) ,in which VKORC1‐1639G/G type was detected in 2 cases ,VKORC1‐1639G/A type was detected in 39 cases and VKORC1‐1639A/A type was detected in187 cases ,compared with the sequencing method ,the results of the fluorescence PCR‐melting curve method were completely consistent .Conclusion Xinjiang Hui population also has CYP2C9 gene *2 ,*3 loci and VKORC1 gene(‐1639G/A) locus polymorphism ,their occurrence frequency has a certain difference with Xingjiang Uygur and other regional populations ,the adopted fluorescence PCR‐melting curve method used in the gene polymorphism detection can meet clinical detection requirements .

BACKGROUND:Pedicle screw fixation has been used in children with thoracic injury. Conventional method is screw implantation by hand. This method can meet the needs of surgery, but its accuracy was low, and incidence of complications was high. The application of digital image navigation aid module is possible. OBJECTIVE:To study accuracy and safety of digital image navigation aid module in thoracic pedicle screw placement. METHODS:Eight thoracic vertebral bodies were equal y and randomly assigned to the manual insertion group and the digital image navigation aid module group. Manual insertion group received manual screw insertion. In the digital image navigation aid module group, navigation aid module was made according to CT scan results combined with principle of reverse engineering and rapid prototyping. Pedicle screw was placed using the digital image navigation aid module. RESULTS AND CONCLUSION:(1) Success rate of once screw set was significantly higher in the digital imaging navigation aid module group than in the manual insertion group (P<0.05). (2) Twenty-eight screws were implanted in the digital image navigation aid module group and manual insertion group separately. The excellent and good rate of screw placement was 96%in the digital image navigation aid module group and 75%in the manual insertion group (P<0.05). (3) These findings suggested that digital image navigation aid module can effectively improve the success rate of pedicle screw insertion. Moreover, this method is simple, easy to operate, and can make a personalized nail placement program for each child.