ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

Acute cerebral infarction predominantly occurs in middle-aged and elderly individuals with multiple underlying diseases， and it is often accompanied by atherosclerosis or heart diseases. It has a low incidence rate in children and adolescents， who tend to have atypical symptoms in the early stage， leading to misdiagnosis or missed diagnosis. With the continuous development of imaging technology， the diagnosis of cerebral infarction has become more precise， which helps to further clarify the etiology of cerebral infarction and identify an increasing number of patients with different subtypes of cerebral infarction in clinical practice. This article reports a rare case of a pediatric patient with acute cerebral infarction caused by primary central nervous system vasculitis， which led to neurological dysfunction， in order to improve the awareness of cerebral infarction in children among clinicians.
Vasculitis

Objective:To establish a polymerase chain reaction(PCR)method to accurately discriminate the crude materials and aqueous extract of Zaocys dhumnades,Elaphe carinata,Elaphe meollendorff and Ptyas korros.Methods:Specific primers were designed using mitochondrial Cytb gene(CO1)as a target gene,and annealing temperature,number of cycles and the type of DNA polymerases were optimized.The mixed samples were detected by this method.Results:By this multiplex allele-specific PCR identification method,135,182,246 and 197 bp of specific fragments were amplified from DNA templates of Zaocys dhumnades,Elaphe carinata,Elaphe meollendorffi and Ptyas korros,respectively,following the conditions:cycle number of 35,annealing temperature of 62 ℃.The adulterants and the blank control showed no bands.The method could simultaneously and accurately identify the snake-derived components in the mixed samples.Conclusion:The method can be used to identify the samples of Zaocys dhumnades,Elaphe carinata,Elaphe meollendorffi and Ptyas korros simultaneously,accurately and rapidly,and is suitable for the identification of standard decoctiond and formula granules samples.

Objective:To investigate regulatory effect and mechanism of protein kinase C(PKC)δ/θ-dual functional oxidase 1(Duox1)-reactive oxygen species(ROS)signaling pathway on human airway mucin(MUC)5AC,to provide a new target for treatment of high secretion of airway mucus.Methods:Human airway epithelial cells 16HBE were pretreated with PKC and its subunit PKCδ/θ inhibitor,Duox1 inhibitor or free radical scavenger DMTU,respectively,and then human neutrophil elastase(HNE)stimulation to establish an in vitro airway inflammatory cell model.Generation level of ROS in each group of cells was determined by kit,mRNA levels of Duox1 and MUC5AC were detected by real-time fluorescent quantitative PCR,influence of interfering factors of each group of cells on Duox1 protein level was determined by Western blot,and protein expression of MUC5AC in each group of cells was detected by ELISA and immunofluorescence.Results:Compared with control group,ROS production in HNE group was increased significantly,expressions of Duox1 and MUC5AC mRNA and protein were also increased(P<0.05).After administration of Duox1 inhibitors,free radical scavengers or PKC inhibitors and PKCδ/θ inhibitors,ROS production was significantly inhibited,Duox1 and MUC5AC mRNA and protein expressions were decreased(P<0.05),while after giving PKCα/β,ROS generation,Duox1 and MUC5AC mRNA and pro-tein expressions were not significantly changed compared with HNE group(P>0.05).Conclusion:HNE can mediate high expression of MUC5AC through PKCδ/θ-Duox1-ROS,which plays an important role in development of high secretion of airway mucus in vitro cell model experiment.

Objective:To describe functional disability rate of anxiety disorders in Chinese community adults and explore related risk factors of functional disability.Methods:To conduct in-depth data analysis on China Mental Health Survey(CMHS).The diagnostic tool for anxiety disorders was the Composite International Diagnostic Inter-view-3.0,according to the Diagnostic and Statistical Manual for Mental Disorders,Fourth Edition(DSM-Ⅳ).The World Health Organization Disability Assessment Schedule,2nd edition,was the functional disability assessment standard for anxiety disorders.Weighted 12-month functional disability rate of DSM-Ⅳ anxiety disorder with co-morbidities and only anxiety disorder in population and those in patients,as well as days of partial disability were calculated.The effects of anxiety disorders comorbid other mental disorders and physical diseases and demographic factors on the severity and occurrence of functional disability were analyzed by multiple linear regression and logis-tic regression.Results:The functional disability rate of anxiety disorder with comorbidities in population was 1.7％,and 42.2％in patients,in which constituent rate of grade-four disability was the highest as 84.1％.The functional disability rate of only anxiety disorder in population was 0.3％,and 17.8％in patients.The medians of days of partial disability days in the past 30 days were from 0 to 14.42.Multiple linear regression showed a positive association between comorbid anxiety disorder with other mental disorders and physical diseases(β=0.24),comor-bid other mental disorders and physical diseases(β=0.21),physical diseases(β=0.18),comorbid anxiety disor-der and physical diseases(β=0.15),comorbid anxiety disorder with other mental disorders(β=0.08),other men-tal disorders(β=0.07),only anxiety disorder(β=0.06),lower education level(β=0.12),lower economic status(β=0.08),older age(β=0.06),non-marital status(β=0.06),male(β=0.02)and the severity of functional dis-ability.Logistic regression showed that comorbid anxiety with other mental disorders and physical diseases(OR=64.07),comorbid anxiety disorders with other mental disorders(OR=36.75),comorbid other mental disorders with physical diseases(OR=20.60),comorbid anxiety with physical diseases(OR=18.88),anxiety disorder(OR=9.20),other mental disorders(OR=6.65),physical diseases(OR=4.00),65 years old and over(OR=4.40),50 to 64 years old(OR=2.33),low economic status(OR=2.10),illiterate and below primary school educational level(OR=1.89),middle economic status(OR=1.70),elementary school educational level(OR=1.59),non-marital status(OR=1.47),male(OR=1.16)were the risk factors of the occurrence of functional disability.Conclusion:Comorbidity of anxiety disorders and other mental disorders,and physical diseases increases severity and occurrence of functional disability.Comorbidity,male,gender,older age,lower economic and educa-tional level and non-marital are risk factors of anxiety disorder functional disability.

Objective:To describe disability rates of dementia in community residents aged 65 years and over in China,and explore related risk factors of disability.Methods:This study conducted an in-depth data analysis of the China Mental Health Survey.World Health Organization Disability Assessment Schedule 2.0(WHODAS 2.0)was used to assess dementia disability,Community Screening Interview for Dementia(CSID)and Geriatric Mental Status Examination(GMS)were used for dementia screening and diagnosing.Univariate analysis was used to calcu-late the weighted disability rates of dementia in population and in patients,and their population distribution.Multiple linear regression and logistic regression were used to analyze the risk factors of the occurrence of dementia disability and its severity.Results:The weighted disability rate of dementia was 2.1％in population,and 38.6％in pa-tients.The disability rates of comorbid dementia in population and in patients were higher than those of patients with only dementia.Female,older age,lower education level,lower economic status,and lower cognitive test scores in CSID had higher disability rates of dementia in population.Female and urban resident had higher disability rates of dementia in patients.Multiple linear regression showed economic status(β=0.11),gender(β=0.11),age(β=0.10),and treatment in the last 12 months(β=-0.20)were statistically associated with WHODAS 2.0 scores.Multiple logistic regression showed female(OR=2.81)and treatment in the last 12 months(OR=2.38)were statistically associated with disability.Conclusions:Persons with low economic status,female and elderly peo-ple are the high-risk groups for dementia disability.It should be paid attention to prevent dementia and its conse-quential disabilities.

Objective:To investigate the recent epidemic trends and spatiotemporal distribution characteristics of gonorrhea in China, and to provide a reference for precise prevention and control of gonorrhea.Methods:Data on reported cases of gonorrhea in China (not including Hongkong, Macau and Taiwan regions of China) were collected from the Infectious Diseases Surveillance System of Chinese Disease Prevention and Control Information System from 2018 to 2023. The trends in reported incidence rates of gonorrhea in China were analyzed using the Joinpoint regression model. Global spatial autocorrelation analysis with the Moran's index and global G-statistic, as well as local spatial autocorrelation analysis, were employed to explore the clustering patterns and hotspot regions of gonorrhea at the county level. In the spatiotemporal scanning analysis, a Poisson distribution model was employed to identify clusters of gonorrhea cases.Results:The reported incidence rates of gonorrhea in China decreased from 9.59 per 100 000 in 2018 to 7.35 per 100 000 in 2023, with an average annual percent change of -4.9%, but this decreasing trend was not statistically significant ( P = 0.11). The reported incidence rates of gonorrhea at the county level in China exhibited a significant positive global spatial autocorrelation, with the global Moran's indices ranging from 0.39 to 0.60 (all P < 0.001) ; the Getis-Ord general G test statistic Z (G) values were all greater than 1.96, indicating a high-value clustering pattern of gonorrhea cases. The local spatial autocorrelation analysis showed that hotspot regions were predominantly distributed in southeastern coastal areas and southwestern China. A total of 70 clusters were identified through the spatiotemporal scanning analysis, and mainly located in southeastern coastal areas and southwestern China. Conclusions:In recent 6 years, the overall reported incidence rates of gonorrhea in China showed a fluctuating decline; there was a significant spatiotemporal clustering characteristic with regard to gonorrhea epidemic at the county level in China, and the hotspot regions were basically consistent with the spatiotemporal clusters, which were mainly distributed in southeastern coastal areas and southwestern China. Further investigation into the causes and precise prevention and control measures are needed.

Objective:To investigate the epidemic trends and spatiotemporal distribution characteristics of genital Chlamydia trachomatis infection in China in recent years, and to provide a reference for its precise prevention and control.Methods:Data on reported cases of genital Chlamydia trachomatis infection in China (not including Hongkong, Macau and Taiwan regions of China) were collected through the Infectious Diseases Surveillance System of Chinese Disease Prevention and Control Information System from 2018 to 2023. The trend in the incidence rate was analyzed using the Joinpoint 4.9.1 software. Global and local spatial autocorrelation analyses at the county level were conducted using the ArcGIS 10.5 software. Spatiotemporal scanning analysis was carried out with the SaTScan 10.1.2 software.Results:The reported incidence rates of genital Chlamydia trachomatis infection slightly declined from 12.66 per 100 000 in 2018 to 12.45 per 100 000 in 2023, with an average annual percent change of -1.42%, which was not statistically significant ( t = -1.14, P = 0.318). The reported incidence rates of genital Chlamydia trachomatis infection at the county level in China showed a significant positive global spatial autocorrelation, with the global Moran's indices ranging from 0.68 to 0.74 (all P < 0.001) ; the standardized statistic Z (G) values for the Getis-Ord general G were all greater than 1.96, indicating a high-value clustering pattern. Local spatial autocorrelation analysis revealed that hotspot areas were predominantly located in southern and eastern China. In the spatiotemporal scanning analysis, 38 statistically significant spatiotemporal clusters were identified, mainly distributed in southern and eastern China and consistent with the hotspot areas. Conclusions:From 2018 to 2023, the reported incidence rates of genital Chlamydia trachomatis infection showed a slight decline, and the epidemic exhibited spatiotemporal clustering characteristics in China. Targeted prevention and control measures need to be implemented in hotspot areas and spatiotemporal clusters.

Objective:To investigate the epidemiological trends and spatio-temporal distribution characteristics of syphilis in China from 2010 to 2023.Methods:Data on syphilis cases reported from 31 provinces, autonomous regions or municipalities from 2010 to 2023 were collected from the Infectious Diseases Surveillance System of Chinese Disease Prevention and Control Information System. Joinpoint 5.2.0 software was used to analyze the epidemiological trends of syphilis, ArcGIS 10.5 software was used for spatial autocorrelation analysis at the county level, and SaTScan 10.2.3 software was used for space-time scan analysis.Results:The national reported incidence rates of syphilis increased from 26.86 per 100 000 in 2010 to 37.60 per 100 000 in 2023, with an average annual percent change of 1.82% (95% CI: 0.81% - 2.89%), and the upward trend in the reported incidence rates was statistically significant ( P = 0.002). There was a positive spatial autocorrelation in the reported incidence rates of syphilis at the county level in China (Moran's Ⅰ range: 0.47 - 0.60, all P < 0.001), and all of the Getis-Ord general test statistic Z (G) values were > 1.96, indicating a high-value clustering pattern in the reported incidence rates of syphilis. The local spatial autocorrelation analysis showed that the annual number of hotspot areas ranged from 180 to 294, which were mainly located in Xinjiang, Qinghai, Guizhou, Sichuan and Yunnan. A total of 92 spatio-temporal clusters were identified by space-time scan analysis, which were mainly distributed in Zhejiang, Guangxi, Guangdong and Fujian from 2010 to 2012, in Xinjiang from 2013 to 2017, and in Sichuan, Guizhou, Chongqing, etc., from 2019 to 2023. Conclusions:From 2010 to 2023, the reported incidence rates of syphilis in China exhibited a fluctuating increase on the whole, with obvious spatio-temporal clustering characteristics. The hotspot areas were basically consistent with the spatio-temporal clusters, and were mainly distributed in the northwestern, southeastern coastal and southwestern areas. Over time, the spatio-temporal clusters gradually changed from the southeast coastal and northwestern areas to the southwestern areas.