1.Research advances in the effects of orexin and its receptor-related drugs on depression
Zhaoshu JIANG ; Ming CHENG ; Jie YANG ; Feng CAO ; Zhen ZHANG
China Pharmacy 2025;36(4):496-500
Depression is a psychiatric disorder whose main symptoms include low mood, loss of interest, anxiety, sleep disturbances, and changes in appetite. Orexin, a neuropeptide located in hypothalamic neurons, has a wide range of projections throughout the central nervous system and is involved in various behavioral modulations related to depression. This study systematically reviewed the effects of orexin and its receptor-related drugs on depression and found that orexin could exert complex regulatory effects on multiple brain regions by binding to related receptors, affecting emotions, sleep, anxiety, etc. The abnormal state of expression of plasma orexin in patients with depression was found. Exogenous orexin-A, selective orexin receptor 1 antagonists (SORA1s), selective orexin receptor 2 antagonists (SORA2s), and dual orexin receptor antagonists (DORAs) have demonstrated antidepressant-like effects in various animal models of depression. Among them, clinical trials involving exogenous orexin-A are relatively scarce. Drugs related to SORA1s and SORA2s, such as JNJ-61393215 and Setorexant, have made significant progress in the treatment of depression. DORAs, such as Suvorexant, Lemborexant, and Daridorexant, are primarily used to treat insomnia. Notably, Suvorexant has also shown potential in alleviating symptoms of anxiety and depression.
2.Spatiotemporal clustering analysis and ARIMA-SVM model prediction of hand-foot-mouth disease in Zibo City in 2018- 2023
Ming FENG ; Ling ZHANG ; Tao SUN ; Haixia CAO ; Haining ZHU ; Ling WANG
Journal of Public Health and Preventive Medicine 2025;36(6):76-80
Objective To analyze the spatial and temporal distribution characteristics of hand-foot-mouth disease (HFMD) in Zibo City, to explore the key incidence areas, and to find a suitable prediction model, so as to provide reference for the prevention and control of HFMD. Methods The spatiotemporal clustering characteristics of HFMD in Zibo City from 2018 to 2023 were analyzed by using SaTScan 10.0.2 software and ArcGIS 10.7 software. A combination model of ARIMA and SVM was established, and the prediction results were verified and compared. Results Spatial clustering analysis showed that there was spatial clustering of the incidence of HFMD in various townships of Zibo City from 2020 to 2022. The high-high clustering areas and Getis-Ord hot spot areas were mainly concentrated in some main urban areas of Zhangdian District, Zichuan District, and Huantai County. A total of 2-5 aggregation areas were detected by spatiotemporal scanning analysis. The first-type aggregation areas were mainly concentrated in the towns of Zhangdian District, Huantai County, Linzi District, Zhoucun District and Gaoxin District. The aggregation months were July, August, September and November. The model prediction results showed that the ARIMA-SVM combined model was more accurate than the traditional ARIMA model. Conclusion There is a spatiotemporal clustering of hand-foot-mouth disease in Zibo City. The ARIMA-SVM combined model can be used to predict the incidence of hand-foot-mouth disease in Zibo City, and to strengthen health education and disease monitoring in high-risk areas and populations during the epidemic months.
3.Analysis of factors associated with spread through air spaces(STAS) of small adenocarcinomas(≤2 cm) in peripheral stage ⅠA lungs and modeling of nomograms
Jing FENG ; Wei SHAO ; Xiayin CAO ; Jia LIU ; Jialei MING ; Ya’nan ZHANG ; Jianbing YIN ; Jin CHEN ; Honggang KE ; Lei CUI
Chinese Journal of Thoracic and Cardiovascular Surgery 2024;40(3):129-136
Objective:To investigate the relationship between spread through air spaces(STAS) of peripheral stage ⅠA small adenocarcinoma of the lung(≤2 cm) and related factors such as clinical and CT morphological features, and to construct a nomogram model.Methods:Relevant clinical, pathological and imaging data of patients who underwent lung surgery and were diagnosed as peripheral stage ⅠA small lung adenocarcinoma by postoperative pathology in the Affiliated Hospital of Nantong University from 2017 to 2022 were collected, of which cases that met the inclusion criteria from 2017 to 2021 served as the training group, and those that met the inclusion criteria in 2022 served as the validation group. The independent risk factors for the occurrence of STAS in peripheral stage ⅠA lung small adenocarcinoma were investigated by using univariate analysis and multifactorial logistic regression analysis, based on which a nomogram prediction model was constructed, and the subjects were analyzed by using the receiver operating characteristic curve( ROC), correction model, etc. were used to evaluate the model. Results:A total of 430 patients who met the criteria were included, including 351 patients in the training group(109 STAS-positive and 242 STAS-negative) and 79 patients in the validation group(23 STAS-positive and 56 STAS-negative). Univariate analysis showed that the patients in the two groups showed a significant difference in age(>58 years old), gender, smoking history, tumor location(subpleural, non-subpleural), pleural pull, nodule type, nodule maximal diameter, solid component maximal diameter, consolidation tumor ratio(CTR), lobulation sign, burr sign, bronchial truncation sign, vascular sign(includes thickening and distortion of blood vessels in/around the nodes), satellite lesions, and ground-glass band sign were statistically significant( P<0.05). The results of multifactorial logistic regression analysis showed that CTR( OR=4.98, P<0.001), lobulation sign( OR=4.07, P=0.013), burr sign( OR=3.66, P<0.001), and satellite lesions( OR=3.56, P=0.009) were the independent risk factors for the occurrence of STAS. Applying the above factors to construct the nomogram model and validate the model, the results showed that the ROC curve was plotted by the nomogram prediction model, and the area under the ROC curve( AUC) of the training set was 0.840(sensitivity 0.835, specificity 0.734), and the validation set had an AUC value of 0.852(sensitivity 0.786, specificity 0.783), and the training set and validation set calibration curves have good overlap with the ideal curve. Conclusion:CTR, lobular sign, burr sign, and satellite lesions are independent risk factors for STAS, and the nomogram model constructed in this study has good predictive value.
4.Analysis Strategy of Deep Vein Thrombosis Metabolomic Biomarkers Based on Machine Learning Algorithms
Ming-Feng LIU ; Yan-Juan WU ; Shi-Dong ZHOU ; Li-Hong DANG ; Jian LI ; Yan DU ; Jun-Hong SUN ; Jie CAO
Chinese Journal of Analytical Chemistry 2024;52(7):1039-1049,后插1-后插4,封3
Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.
5.Maintenance and improvement program for WYD2000 field surgical lamp
Ming-Ming ZHU ; Ji-Su CAO ; Ze-Rui ZHANG ; Jiang-Hui HAO ; Rui-Zhe WANG ; Feng ZHOU ; Lu-Chuan XUN
Chinese Medical Equipment Journal 2024;45(4):116-118
The steps for installation and withdrawal of WYD2000 field surgical lamp were introduced.The failures and causes of broken cross-arm connector of WYD2000 field surgical lamp were analyzed.The problems of WYD2000 field surgical lamp in vulnerability to breaking and difficulty in maintenance were solved by designing and manufacturing a special maintenance tool and optimizing the materials and fixing mode of cross-arm connection.References were provided for main-tenance and improvement of WYD2000 field surgical lamp.[Chinese Medical Equipment Journal,2024,45(4):116-118]
6.Emerging role of Jumonji domain-containing protein D3 in inflammatory diseases
Li XIANG ; Chen RU-YI ; Shi JIN-JIN ; Li CHANG-YUN ; Liu YAN-JUN ; Gao CHANG ; Gao MING-RONG ; Zhang SHUN ; Lu JIAN-FEI ; Cao JIA-FENG ; Yang GUAN-JUN ; Chen JIONG
Journal of Pharmaceutical Analysis 2024;14(9):1282-1300
Jumonji domain-containing protein D3(JMJD3)is a 2-oxoglutarate-dependent dioxygenase that specif-ically removes transcriptional repression marks di-and tri-methylated groups from lysine 27 on histone 3(H3K27me2/3).The erasure of these marks leads to the activation of some associated genes,thereby influencing various biological processes,such as development,differentiation,and immune response.However,comprehensive descriptions regarding the relationship between JMJD3 and inflammation are lacking.Here,we provide a comprehensive overview of JMJD3,including its structure,functions,and involvement in inflammatory pathways.In addition,we summarize the evidence supporting JMJD3's role in several inflammatory diseases,as well as the potential therapeutic applications of JMJD3 inhibitors.Additionally,we also discuss the challenges and opportunities associated with investigating the functions of JMJD3 and developing targeted inhibitors and propose feasible solutions to provide valuable insights into the functional exploration and discovery of potential drugs targeting JMJD3 for inflammatory diseases.
7.Study on bioequivalence evaluation of Pemirolast potassium tablets in Chinese healthy volunteers on an empty stomach/after meals
Yi-Ming MA ; Wang HU ; Feng ZHANG ; Wen ZHANG ; Sheng-Long ZHAO ; Yang CAO ; Jing XIE ; Huan ZHOU ; Shun-Wang HUANG
Chinese Pharmacological Bulletin 2024;40(6):1075-1081
Aim To compare the pharmacokinetics of pemirolast potassium tablets in healthy subjects in Chi-na under single fasting and postprandial conditions,and to evaluate the bioequivalence of the test prepara-tion(T)and the reference preparation(R).Methods A randomized,open-ended,single-dose,two-cycle,double-cross bioequivalence trial design was adopted,and 26 and 30 subjects were enrolled in the fasting group and the postprandial group,respectively,and 10 mg of the test preparation and the reference preparation were taken in the fasting or postprandial state each cy-cle,and venous blood was collected at the designed time points before and after the administration cycle.The concentration of pemirolast potassium in plasma was determined by LC-MS/MS method,and the phar-macokinetic parameters were calculated with PhoenixTM WinNonlin ?(8.3)software,and the bioequivalence analysis of the two preparations was performed.Re-sults The t1/2 of the test preparation and the reference preparation was(4.44±0.91)h and(4.49±0.93)h,respectively;the median tmax was(1.96±1.29)h and(2.18±1.25)h,respectively;the Cmax was(867.12±205.56)μg·L-1 and(863.35±172.03)μg·L-1,respectively;the AUC0-t was(5 513.23±1463.67)h·μg·L-1 and(5 661.32±1 628.65)h·μg·L-1,respectively;AUC0_∞ was(5 699.81±1477.68)h·μg·L-1 and(5 849.44±1 644.75)h·μg·L-1,respectively.The statistical results of the 90%confidence intervals of the main pharmacokinetic parameters Cmax,AUC0-t,and AUC0-∞ was 92.49%~107.53%,94.71%~100.67%and 95.28%~100.27%,respectively,all of which were within the range of 80.00%~125.00%,and the safety of the tested preparation and the reference preparation was good when taken orally on an empty stomach.The t1/2 of single oral administration after prandial administra-tion of the tested preparation and the reference prepara-tion was(4.46±0.78)and(4.51±0.84)h,respec-tively;the median tmax was(3.08±1.36)h and(3.28±1.28)h,respectively;the Cmax was(683.83±111.87)μg·L-1 and(689.77±110.24)μg·L-1,respectively;the AUC0-t was(5 695.99±1566.05)h·μg·L-1 and(5 773.60±1 551.04)h·μg·L-1,respectively;the AUC0-∞ was(5 914.06±1 551.86)h·μg·L-1 and(5 967.30±1552.89)h·μg·L-1,respectively.The 90%confi-dence interval of Cmax,AUC0-t,and AUC0-∞ was 93.56%~104.69%,96.43%~100.83%,and 97.29%~101.14%,respectively,which was in the range of 80.00%~125.00%,and the safety of the tested preparation and the reference preparation was good after meals.Conclusion In the state of fasting and postprandial single oral administration,the two kinds of pemirolast potassium tablets have good bio-equivalence.
8.Chinese expert consensus on the diagnosis and treatment of osteoporotic periarticular fracture of the shoulder in the elderly (version 2023)
Yan HU ; Dongliang WANG ; Xiao CHEN ; Zhongmin SHI ; Fengjin ZHOU ; Jianzheng ZHANG ; Yanxi CHEN ; Liehu CAO ; Sicheng WANG ; Jianfei WANG ; Hongliang WANG ; Yong FENG ; Zhimin YING ; Chengdong HU ; Qinglin HAN ; Ming LI ; Xiaotao CHEN ; Zhengrong GU ; Biaotong HUANG ; Liming XIONG ; Yunfei ZHANG ; Zhiwei WANG ; Baoqing YU ; Yong WANG ; Lei ZHANG ; Lei YANG ; Peijian TONG ; Ximing LIU ; Qiang ZHOU ; Feng NIU ; Weiguo YANG ; Wencai ZHANG ; Shijie CHEN ; Jinpeng JIA ; Qiang YANG ; Tao SHEN ; Bin YU ; Peng ZHANG ; Yong ZHANG ; Jun MIAO ; Kuo SUN ; Haodong LIN ; Yinxian YU ; Jinwu WANG ; Kun TAO ; Daqian WAN ; Lei WANG ; Xin MA ; Chengqing YI ; Hongjian LIU ; Kun ZHANG ; Guohui LIU ; Dianying ZHANG ; Zhiyong HOU ; Xisheng WENG ; Yingze ZHANG ; Jiacan SU
Chinese Journal of Trauma 2023;39(4):289-298
Periarticular fracture of the shoulder is a common type of fractures in the elderly. Postoperative adverse events such as internal fixation failure, humeral head ischemic necrosis and upper limb dysfunction occur frequently, which seriously endangers the exercise and health of the elderly. Compared with the fracture with normal bone mass, the osteoporotic periarticular fracture of the shoulder is complicated with slow healing and poor rehabilitation, so the clinical management becomes more difficult. At present, there is no targeted guideline or consensus for this type of fracture in China. In such context, experts from Youth Osteoporosis Group of Chinese Orthopedic Association, Orthopedic Expert Committee of Geriatrics Branch of Chinese Association of Gerontology and Geriatrics, Osteoporosis Group of Youth Committee of Chinese Association of Orthopedic Surgeons and Osteoporosis Committee of Shanghai Association of Chinese Integrative Medicine developed the Chinese expert consensus on the diagnosis and treatment of osteoporotic periarticular fracture of the shoulder in the elderly ( version 2023). Nine recommendations were put forward from the aspects of diagnosis, treatment strategies and rehabilitation of osteoporotic periarticular fracture of the shoulder, hoping to promote the standardized, systematic and personalized diagnosis and treatment concept and improve functional outcomes and quality of life in elderly patients with osteoporotic periarticular fracture of the shoulder.
9.COL4A5 genotypes and clinical characteristics of children with Alport syndrome.
Wei HUANG ; Cui-Hua LIU ; Ji-Tong LI ; Yu-Jie LIU ; Yu-Liu LI ; Ming TIAN ; Guang-Hai CAO ; Shu-Feng ZHANG
Chinese Journal of Contemporary Pediatrics 2023;25(7):732-738
OBJECTIVES:
To investigate the genotypes of the pathogenic gene COL4A5 and the characteristics of clinical phenotypes in children with Alport syndrome (AS).
METHODS:
A retrospective analysis was performed for the genetic testing results and clinical data of 19 AS children with COL4A5 gene mutations.
RESULTS:
Among the 19 children with AS caused by COL4A5 gene mutations, 1 (5%) carried a new mutation of the COL4A5 gene, i.e., c.3372A>G(p.P1124=) and presented with AS coexisting with IgA vasculitis nephritis; 3 children (16%) had large fragment deletion of the COL4A5 gene, among whom 2 children (case 7 had a new mutation site of loss51-53) had gross hematuria and albuminuria at the onset, and 1 child (case 13 had a new mutation site of loss3-53) only had microscopic hematuria, while the other 15 children (79%) had common clinical phenotypes of AS, among whom 7 carried new mutations of the COL4A5 gene. Among all 19 children, 3 children (16%) who carried COL4A5 gene mutations also had COL4A4 gene mutations, and 1 child (5%) had COL4A3 gene mutations. Among these children with double gene mutations, 2 had gross hematuria and proteinuria at the onset.
CONCLUSIONS
This study expands the genotype and phenotype spectrums of the pathogenic gene COL4A5 for AS. Children with large fragment deletion of the COL4A5 gene or double gene mutations of COL4A5 with COL4A3 or COL4A4 tend to have more serious clinical manifestations.
Humans
;
Nephritis, Hereditary/pathology*
;
Hematuria/complications*
;
Retrospective Studies
;
Collagen Type IV/genetics*
;
Genotype
;
Mutation
10.Effect and safety of 10-day decitabine-containing conditioning regimen for allogeneic hematopoietic stem cell transplantation in 31 patients with acute myeloid leukemia/myelodysplastic syndrome.
Jia LIU ; Yi Geng CAO ; Rong Li ZHANG ; Wei Hua ZHAI ; Xin CHEN ; Qiao Ling MA ; Ai Ming PANG ; Dong Lin YANG ; Jia Lin WEI ; Yi HE ; Si Zhou FENG ; Ming Zhe HAN ; Er Lie JIANG
Chinese Journal of Hematology 2023;44(6):472-478
Objective: To investigate the early effect and safety of allogeneic hematopoietic stem cell transplantation (allo-HSCT) with a 10-day decitabine-containing conditioning regimen in the treatment of acute myeloid leukemia (AML) /myelodysplastic syndrome (MDS) . Methods: From April 2021 to May 2022, 31 AML/MDS patients who received allo-HSCT with a 10-day decitabine-containing conditioning regimen were analyzed. Results: AML (n=10), MDS-AML (n=6), CMML-AML (n=1), and MDS (n=14) were identified in 31 patients, 16 males, and 15 females, with a median age of 41 (20-55) yr. Neutrophils and platelets were successfully implanted in 31 patients (100%), with a median implantation duration of 12 (9-30) and 14 (9-42) days, respectively. During the preconditioning period, 16 patients (51.6%) developed oral mucositis, with 15 cases of Ⅰ/Ⅱ grade (48.4%) and one case of Ⅲ grade (3.2%). After transplantation, 13 patients (41.9%) developed CMV viremia, six patients (19.4%) developed hemorrhagic cystitis, and four patients (12.9%) developed a local infection. The median time of acute graft versus host disease (aGVHD) following transplantation was 33 (12-111) days. The cumulative incidence of aGVHD and Ⅲ/Ⅳ grade aGVHD was 41.9% (95% CI 26.9%-61.0%) and 22.9% (95% CI 13.5%-47.5%), respectively. There was no severe cGVHD, and mild and moderate chronic GVHD (cGVHD) incidence was 23.5% (95% CI 12.1%-43.6%). As of November 30, 2022, only one of the 31 patients had relapsed, with a 1-yr cumulative relapse rate (CIR) of 3.2% (95% CI 0.5%-20.7%). There was only one relapse patient death and no non-relapse deaths. The 1-yr overall survival (OS) and disease-free survival (DFS) rates were 92.9% (95% CI 80.3%-100%) and 96.8% (95% CI 90.8%-100%), respectively. Conclusions: A 10-day decitabine-containing conditioning regimen for allo-HSCT reduced relapse and was safe and feasible in treating AML/MDS.
Male
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Female
;
Humans
;
Decitabine
;
Myelodysplastic Syndromes/therapy*
;
Leukemia, Myeloid, Acute/complications*
;
Disease-Free Survival
;
Hematopoietic Stem Cell Transplantation/adverse effects*
;
Recurrence
;
Chronic Disease
;
Graft vs Host Disease/etiology*
;
Transplantation Conditioning/adverse effects*
;
Bronchiolitis Obliterans Syndrome
;
Retrospective Studies


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