1.Rapid Identification of Different Parts of Nardostachys jatamansi Based on HS-SPME-GC-MS and Ultra-fast Gas Phase Electronic Nose
Tao WANG ; Xiaoqin ZHAO ; Yang WEN ; Momeimei QU ; Min LI ; Jing WEI ; Xiaoming BAO ; Ying LI ; Yuan LIU ; Xiao LUO ; Wenbing LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):182-191
ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi, so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry(HS-SPME-GC-MS) combined with Smart aroma database and National Institute of Standards and Technology(NIST) database were used to characterize the aroma components in different parts of N. jatamansi, and the aroma components were quantified according to relative response factor(RRF) and three internal standards, and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis(OPLS-DA) and cluster thermal analysis based on variable importance in the projection(VIP) value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose, and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data, and the rapid identification model of different parts of N. jatamansi was established by principal component analysis(PCA), discriminant factor alysis(DFA), soft independent modeling of class analogies(SIMCA) and statistical quality control analysis(SQCA). ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi, of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components, the contents of five components(ethyl isovalerate, 2-pentylfuran, benzyl alcohol, nonanal and glacial acetic acid,) in the aboveground part of N. jatamansi were significantly higher than those in the underground part(P<0.01), the contents of β-ionone, patchouli alcohol, α-caryophyllene, linalyl butyrate, valencene, 1,8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part(P<0.01). Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82, and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted, respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%, the validation score of the SIMCA model for discrimination of the two parts was 99, and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose(PCA, DFA, SIMCA and SQCA) can realize the rapid identification of different parts of N. jatamansi. Combining the two results, it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.
2.Characteristics of cyberbullying among Republic of Korea students and its implications for comprehensive prevention and treatment
QU Yashan, WEI Yiping, WEN Yanru
Chinese Journal of School Health 2025;46(7):917-921
Abstract
With one of the highest rates of Internet penetration in the world, cyberbullying among students in Republic of Korea is typical and complex. The article interprets the characteristics of comprehensive prevention and treatment strategies aimed at cyberbullying among Republic of Korea students, and summarizes Republic of Korea s experience in building "government regulation with laws and policies in parallel, home-school governance with two way educational intervention, and social cogovernance with diversified collaborative empowerment". In recent years, comprehensive prevention and treatment of cyberbullying among students in China has achieved certain results, but there are still problems. It can learn from Republic of Korea s experience, optimize prevention and treatment system of China, improve laws and regulations, innovate technology empowerment systems, and give play to cultural education mechanisms, so as to promote the comprehensive prevention and treatment of cyberbullying among students in China.
3.Follow up study on the association of anxiety and depressive symptoms with smartphone addiction among middle school students
JI Mingxia, YANG Jie, JIA Qu, DONG Ying, WANG Daosen, LI Zhumin, WEN Xiang, CHEN Qifei, LI Xiuhong
Chinese Journal of School Health 2025;46(9):1277-1281
Objective:
To investigate the changing trends for associations of anxiety and depressive symptoms with smartphone addiction among middle school students, so as to provide a scientific basis for preventing smartphone addiction in middle school students.
Methods:
From 2022 to 2023, a method of combining convenient sampling with cluster sampling was used to select 8 923 middle school students from 27 junior high schools and 3 senior high schools in a district of Shenzhen City between September 2022 (baseline, T1) and September 2023 (follow up, T2). The Smartphone Addiction Scale-Short Version (SAS-SV), Patients Health Questionnaire-9 Item (PHQ-9), and Generalized Anxiety Disorder 7-item Scale (GAD-7) were administered to assess smartphone addiction, anxiety and depressive symptoms. Mixed effects models were used to analyze the association of anxiety and depressive symptoms with smartphone addiction among middle school students.
Results:
From September 2022 to September 2023, the reported prevalence of smartphone addiction increased from 24.22% to 25.25% ( χ 2=45.71); and smartphone addiction scores [ 24.00 (16.00, 32.00),25.00(16.00, 33.00)], anxiety symptom scores [2.00(0.00, 7.00),3.00(0.00, 7.00)] and depressive symptom scores[3.00(0.00, 8.00),5.00(0.00, 9.00)] all significantly increased ( Z =-17.43, -42.38, -41.57) (all P <0.05). There were statistically significant difference in the distribution of anxiety and depression symptom levels among middle school students in 2022 and 2023 ( χ 2=85.15, 106.85, both P <0.05). After adjusting for covariates such as age, gender and family background, mixed effects models revealed dose response associations of anxiety and depressive symptoms with smartphone addiction among middle school students:mild anxiety symptom( OR =3.22), moderate to severe anxiety symptom ( OR =5.36), mild depressive symptom ( OR =3.32) and moderate to severe depressive symptom ( OR =6.13) were significantly associated with higher risks of smartphone addiction (all P <0.05). Interaction effect analysis found that co existing anxiety and depressive symptoms synergistically increased addiction risk by 5.60 times ( OR =5.60) compared to the asymptomatic group, with 32% of the combined risk attributable to their interaction ( S=1.64, AP =0.32)(both P < 0.05 ).
Conclusions
Anxiety and depressive symptoms are significantly associated with smartphone addiction, exhibiting a synergistic effect. Attention should be paid to emotional issues and smartphone addiction among middle school students.
4.Epidemiological and pathogenic analyses of three cases of imported Corynebacterium diphtheriae infection in Fujian Province
Qu-Wen LI ; Xue-Chen LIANG ; Ya-Dong GAO ; Shun-Tai WENG ; Yuan GAO ; Zhu-Jun SHAO
Chinese Journal of Zoonoses 2024;40(6):590-594,598
The epidemiology and etiology of three suspected cases of imported skin diphtheria infection in Fujian Province were investigated.Secretion samples of patients with skin damage were collected for isolation and culture of Corynebacterium diphtheriae.Biochemical identification and mass spectrum analysis of pure cultures of suspected C.diphtheriae were conduc-ted,the virulence-related genes,including diphtheria toxin reporter(dtxR),toxin A(toxA),and toxin B(toxB)were detec-ted,and multilocus sequence typing(MLST)was performed.All three cases had typical clinical manifestations of cutaneous diphtheria,and C.diphtheriae was isolated from the damaged skin.The virulence genes of two C.diphtheriae strains isolated from two cases were identified as dtxR(+),toxA(-),and toxB(-),and the MLST type was ST-703.The virulence genes of C.diphtheriae isolated from one case were identified as dtxR(+),toxA(+),toxB(+),and the MLST type was ST-248.There is an increased risk of diphtheria in Fujian Province.C.diphtheriae without diphtheria toxin genes can also cause skin diphtheria.
5.Epidemic characteristics and food traceability of listeriosis in China,and the United States,and implications for China
Zhi-Fang ZHANG ; Xue-Jie LIU ; Sheng-Gen WU ; Qu-Wen LI ; Wei-Wei CHEN ; Yan-Qin DENG
Chinese Journal of Zoonoses 2024;40(7):636-643
This study analyzed and compared the epidemiological characteristics of foodborne listeriosis in the United States and China,to provide evidence for optimizing the listeriosis surveillance program in China.Descriptive statistical analysis was performed on the listeriosis monitoring data from 2009 to 2021 registered in the FDOSS system and the attribution estimates of Listeria monocytogenes(L.monocytogenes)from 2013 to 2021 published by IFSAC.Sporadic and outbreak data on listeriosis in China from the CNKI,Wanfang Medical,and CQVIP databases were collected.From 2009 to 2021,a total of 1 037 listeriosis cases were reported in the United States,including 902 hospitalizations and 165 deaths.The peak of cases caused by Lm con-taminated food was in July.The number of cases,hospitalizations,and deaths accounted for 18.4%(191/1 037),20.5%(185/902),and 22.4%(37/165)of the total,respectively.Most listeriosis outbreaks were attributed to three food groups:dairy products,vegetable crops,and fruits,with attribution percentages ranging from 73.8%to 89.6%.The overall incidence of list-eriosis in China was not high:619 cases were reported from 2009 to 2021,and only 177 cases were recorded in detailed inci-dence years;the maximum number of cases in 2018 was 26.A total of 220 cases were reported with detailed onset months;the highest number of cases in April was 30.Data on listeriosis cases in China are incomplete and sporadic,and only seven cases have been successfully traced to food.Listeriosis surveillance systems in the United States are relatively complete,and there are more foodborne outbreaks.Dairy products,vegetable row crops,and fruits are the most likely causes of disease outbreaks.Although only sporadic cases have been reported in China,China should take actions such as gradually improving multi-department coop-eration mechanisms,achieving data sharing and deepening data mining,and accelerating progress in the detection technology of food-borne pathogenic microorganisms,to ensure food safety and public health.
6.Preparation of Pancreatic Polypeptide Nanobody and the Analysis of Binding Activity
Hong-Rui REN ; Qiong JIA ; Jia-Qin WANG ; Jing-Jing TIAN ; Rong-Jie LI ; Hua-Hua HAO ; Jian-Li LI ; Zhi-Can QU ; Rui-Wen FAN
Chinese Journal of Biochemistry and Molecular Biology 2024;40(9):1273-1281
Pancreatic polypeptide(PP),a pancreatic hormone containing 36 amino acids,plays impor-tant roles in the diagnosis and evaluation of pancreatic function,injury and diseases.In this study,a phage nanobody library against PP was constructed to screen specific PP nanobodies,which would be used to evaluate whether they have binding activity with PP antigen.After PP antigen with high purity was prepared by prokaryotic expression system,it was used to immunize alpaca to construct the nanobody li-brary against PP with high storage capacity and high abundance,from which 8 strains of PP nanobodies were obtained by phage display.One of nanobody strain(PP-VHH)was selected to be expressed in a prokaryotic expression system,which was induced overnight by IPTG.After purification and identifica-tion,the antigen-antibody binding activity and PP level in serum were detected by indirect ELISA and Sandwich ELISA methods,respectively.The results showed that PP-VHH had binding activity with PP,which could be used to detect PP in chicken and human serum.The Sandwich ELISA methods with R2 of the fitting curve 0.9868 could be used to detect PP concentrations of 48-55 pg/mL in the serum of chick-ens,while the concentrations of PP in human serum varied significantly.In summary,PP-VHH screened from nanobody library against PP could detect PP in serum,which would supply the basis for evaluation of abnormal pancreatic function and diagnosis of relative disease.
7.Exosomal PD-L1 Detection Methods Based on Surface Plasmon Resonance
Li-Si QU ; Yu-Yan PENG ; Ze-Tao YU ; Zi-Hong YE ; Wen-Qiang XIA
Chinese Journal of Biochemistry and Molecular Biology 2024;40(9):1300-1307
Soluble programmed cell death 1 ligand 1(PD-L1)in the serum includes exosomal,mi-crovesical and secreted forms of PD-L1.Previous studies have shown that the level of exosomal PD-L1 in the serum significantly correlated with the prognosis of various cancers.However,current analysis detects all forms of PD-L1 in the serum as a whole,without distinguishing exosomal PD-L1 from other forms.In this study,a specific detection method for exosomal PD-L1 was established based on surface plasmon res-onance.This method first captures PD-L1 by antibody recognition and immobilizes it on the surface of the detection chip.Then,α-hemolysin was recruited to form multiple oligomers on the exosomal membrane.This method quantifies the content of exosomal PD-L1 by monitoring the signal change during the binding process of α-hemolysin,effectively reducing background noises and amplifying the signal.The linear range before signal amplification with α-hemolysin was 0.035-2.208 pg/mL,and after signal amplifica-tion,it was 0.004-0.552 pg/mL.Methodological validation showed that this method has good specifici-ty,sensitivity,and repeatability,and has certain clinical application prospects.
8.Application of animal drugs in uro-andrological diseases under the guidance of diversified theories of traditional Chinese medicine
Rong-Chao YANG ; Qu-Hua WEN ; Chun-He ZHANG ; Fan ZHAO
National Journal of Andrology 2024;30(9):824-831
Animal drugs have been used in the treatment of uro-andrological diseases since ancient times.At present,the clini-cal use of animal drugs is mostly based on the experience of doctors.From the perspective of the diversified theories of traditional Chi-nese medicine(TCM),this paper summarizes the experience of predecessors in the use of animal drugs,and believes that under the guidance of the TCM theories,the application of animal drugs in the treatment of uro-andrological diseases has achieved multi-dimen-sional and diversified development,as in the treatment of chronic prostatitis based on the theories of"heat poison","stasis poison"and"aromatherapy through the orifice",and in the management of ED from the perspective of"kidney deficiency","qi-blood dishar-mony"and"collateral disease",which accords with the mainstream thought of current scholars in the differentiation and treatment of uro-andrological diseases.At the same time,it pointed out the problems to be attended to in the clinical use of animal drugs,aiming to provide some reference ideas for the clinical treatment of uro-andrological diseases with animal drugs.
9.Electro-clinical aspects of epilepsy with fixation-off sensitivity
Shuyi QU ; Xiaoli WANG ; Wenhao WEN ; Wenjuan ZHANG ; Yuwen GAO ; Xinyu WEN ; Yonghong LIU
Chinese Journal of Neurology 2024;57(12):1309-1316
Objective:To summarize the clinical and electrophysiological characteristics of epilepsy patients with fixation-off sensitivity (FOS).Methods:Using "fixation-off sensitivity" and "epilepsy" as search terms, data were retrieved from the Electroencephalogram Monitoring Center Database of Xijing Hospital, Air Force Military Medical University. Information was collected on epilepsy patients with FOS who were seen at the Xijing Hospital Electroencephalogram Monitoring Center from March 2019 to May 2023. A retrospective analysis of video electroencephalograms and clinical information was conducted, along with follow-up. Single factor analysis and multi-factor Logistic regression analysis were used to analyze the risk factors affecting the prognosis of the patients.Results:A total of 78 patients met the inclusion criteria, including 43 females and 35 males; the age at first epilepsy onset was 12.00 (8.00, 15.25) years. Among these 78 patients, 46 were diagnosed with genetic generalized epilepsy, 11 with self-limited focal epilepy, 9 with familial cortical myoclonic tremor with epilepsy, 7 with developmental and epileptic encephalopathy, 3 with symptomatic epilepsy, and 2 with progressive myoclonic epilepsy. The fixation-off induction trial most commonly triggered seizures in epilepsy with eyelid myoclonia (EEM) patients, with eyelid myoclonia being the most common type of seizure. Twenty-five epilepsy patients with FOS showed a positive photoparoxysmal response, of whom 6 experienced photo-convulsive response. Sixty-eight patients completed follow-up with comprehensive clinical data. At the last follow-up, 45 patients had been free from tonic-clonic seizures for at least one year. A history of febrile seizures ( OR=20.559, 95% CI 2.179-193.997, P=0.008) and cognitive decline ( OR=3.752, 95% CI 1.118-12.588, P=0.032) were identified as risk factors for poor prognosis in epilepsy patients with FOS. The age of first epilepsy onset, the number of anti-seizure medications, and the intermittent photo stimulation trial results had no correlation with prognosis. Conclusions:FOS is more common in female epilepsy patients and can be observed in both generalized and focal epilepsy syndromes. EEM patients are prone to seizures during fixation-off induction trial, and the most common type of seizures is eyelid myoclonus seizure. Patients with epilepsy with FOS who have a history of febrile seizures and cognitive impairment tend to have poor prognosis.
10.Histogram analysis based on 3D-amide proton transfer weighted and apparent diffusion coefficient imaging in predicting ATRX mutation in IDH-mutant WHO grading 2/3 gliomas
Xia ZOU ; Xinran YAN ; Yuxin LI ; Yaoming QU ; Haitao WEN ; Andong MA ; Shizhong ZHANG ; Zhibo WEN
Chinese Journal of Neuromedicine 2024;23(7):659-668
Objective:To evaluate the role of histogram analysis based on amide proton transfer weighted (APTw) and apparent diffusion coefficient (ADC) imaging in predicting alpha-thalassemia/mental retardation syndrome X-linked ( ATRX) mutation in isocitrate dehydrogenase ( IDH)-mutant WHO grading 2/3 gliomas. Methods:Seventy-eight patients with IDH-mutant WHO grading 2/3 gliomas, admitted to and confirmed by surgical pathology in Department of Functional Neurosurgery, Neurosurgery Center, Zhujiang Hospital, Southern Medical University from June 2017 to October 2023, including 52 with ATRX wild and 26 with ATRX mutant-type, were selected. Preoperative 3D-APTw and ADC imaging data were collected; after post-processing, the lesions were segmented using lesion outlining method based on inclusion of peri-tumor edema and lesion outlining method based on tumor entity, respectively; after that, the histogram features (the 10 th percentile, 90 th percentile, maximum, mean, median, minimum, skewness, kurtosis, entropy, range, uniformity, and variance) were extracted from 3D-APTw and ADC imaging, respectively. Univariate Logistic regression was used to compare the differences in histogram features between patients in the ATRX mutant group and ATRX wild-type group, and multivariate Logistic regression was used to screen the independent predictors for ATRX mutation (a Logistic regression prediction model was constructed). Predictive values of independent predictors and Logistic regression prediction models in ATRX mutation were evaluated by receiver operating characteristic (ROC) curve. Results:(1) With lesion outlining method based on inclusion of peri-tumor edema, univariate analysis indicated significant difference between ATRX mutant group and ATRX wild-type group in 9 histogram features: relative 3D-APTw minimum, 3D-APTw skewness, relative ADC 90 th percentile, relative ADC mean, relative ADC median, ADC kurtosis, ADC skewness, ADC uniformity, and ADC entropy ( P<0.05). With lesion outlining method based on tumor entity, univariate analysis indicated significant difference between ATRX mutant group and ATRX wild-type group in 9 histogram features: relative 3D-APTw 90 th percentile, 3D-APTw skewness, relative ADC 90 th percentile, relative ADC mean, relative ADC median, ADC kurtosis, ADC skewness, ADC uniformity and ADC entropy ( P<0.05). (2) With lesion outlining method based on inclusion of peri-tumor edema, multivariate Logistic regression showed that 3D-APTw skewness and ADC kurtosis were the independent predictor for ATRX mutation in IDH mutant WHO grading 2/3 glioma patients ( OR=0.168, 95% CI: 0.034-0.800, P=0.025; OR=0.508, 95% CI: 0.319-0.807, P=0.004). The constructed Logistic regression prediction model was P(Y=1|X)=1/1+e -(1.827-1.785×3D-APTw skewness-0.678×ADC kurtosis). With lesion outlining method based on tumor entity, multivariate Logistic regression showed that 3D-APTw skewness and ADC kurtosis were independent predictors for ATRX mutation in IDH mutant WHO grading 2/3 glioma patients ( OR=0.164, 95% CI: 0.034-0.791, P=0.024; OR=0.496, 95% CI: 0.312-0.788, P=0.003); the constructed Logistic regression prediction model was P(Y=1|X)=1/1+e -(1.585-1.810×3D-APTw skewness-0.702×ADC kurtosis). (3) ROC curve analysis showed that, with lesion outlining method based on inclusion of peri-tumor edema, area under ROC curve (AUC) of 3D-APTw skewness and ADC kurtosis was 0.725 (95% CI: 0.608-0.842, P=0.001) and 0.794 (95% CI: 0.685-0.904), respectively ( P<0.001); AUC of Logistic regression prediction model was 0.836 (95% CI: 0.729-0.942, P<0.001), and its sensitivity and specificity were 73.10% and 90.40% when the best threshold was 0.505. ROC curve showed that, with lesion outlining method based on tumor entity, AUC of 3D-APTw skewness and ADC kurtosis was 0.705 (95% CI: 0.587-0.823, P=0.003) and 0.808 (95% CI: 0.704-0.913), respectively ( P<0.001); AUC of Logistic regression prediction model was 0.844 (95% CI: 0.739-0.949, P<0.001), and its sensitivity and specificity were 84.60% and 80.80% when the best threshold was 0.399. Conclusion:Histogram analysis based on 3D-APTw and ADC imaging can predict ATRX mutation in IDH mutant WHO grading 2/3 gliomas to a certain extent.


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