1.Discovery and investigation of six polio vaccine derived viruses in Guangzhou City
Min CUI ; Chunhuan ZHANG ; Wei ZHANG ; Jun LIU ; Jialing LI ; Jianxiong XU ; Wenji WANG ; Qing HE ; Lihong NI ; Xuexia YUN ; Huanying ZHENG
Journal of Public Health and Preventive Medicine 2025;36(2):22-25
Objective To understand the surveillance situation of poliovirus in Guangzhou from 2011 to 2024, and to further strengthen polio surveillance and ensure the continued maintenance of a polio-free status. Methods An analysis was conducted on the discovery and investigation results of six cases of vaccine-derived poliovirus (VDPV) detected in Guangzhou. Results A total of 6 VDPV incidents were reported in Guangzhou from 2011 to June 2024, among which 5 incidents were from sewage sample testing in the Liede Sewage Treatment Plant in Guangzhou, all of which were confirmed as VDPV, with 1 for type I, 1 for type II, and 3 for type III. In addition, one confirmed HFMD case was identified as a type VDPV II carrier. No presence of any wild poliovirus (WPV), VDPV cases, or circulating VDPV (cVDPV) was reported. Conclusion Guangzhou City has maintained a high level of vigilance and effectiveness in the monitoring and prevention of polio. Continuously strengthening the construction of the polio monitoring network, optimizing vaccination strategies, and comprehensively improving public health awareness are still the focus of the prevention and control work in the future.
2.Protective effect of achyranthes bidentata against doxorubicin-induced spermatogenic disorder in mice: An investigation based on the glycolytic metabolic pathway.
Man-Yu WANG ; Yang FU ; Pei-Pei YUAN ; Li-Rui ZHAO ; Yan ZHANG ; Qing-Yun MA ; Yan-Jun SUN ; Wei-Sheng FENG ; Xiao-Ke ZHENG
National Journal of Andrology 2025;31(2):99-107
OBJECTIVE:
To investigate the protective effect of achyranthes bidentata (AB) on sperm quality in mice with spermatogenic disorder through the glycolytic metabolic pathway and its action mechanism.
METHODS:
We equally randomized 40 Kunming mice into a normal control, a model control, a low-dose AB (3.5 g/kg) and a high-dose AB group (7.0 g/kg), and established the model of spermatogenic disorder in the latter three groups of mice by intraperitoneal injection of doxorubicin (30 mg/kg). Two days after modeling, we collected the testis and kidney tissues and blood samples from the mice for observation of the pathological changes in the testis tissue by HE staining, detection of perm motility with the sperm quality analyzer, examination of the apoptosis of testis cells by flow cytometry, measurement of the levels of testosterone (T), malondialdehyde (MDA), superoxide dismutase (SOD) and catalase (CAT) in the serum and testis tissue by ELISA, and determination of expressions of the key enzymes of glycolysis hexokinase Ⅱ (HK2), pyruvate kinase M2 (PKM2), platelet phosphofructokinase (PFKP), lactate dehydrogenase A (LDHA) and the meiosis proteins REC8 and SCP3 by Western blot, and the mRNA expressions of glycolytic phosphofructokinase 1 (PFK1), phosphoglycerate kinase 1 (PGK1), tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) by fluorescence quantitative PCR (FQ-PCR).
RESULTS:
Compared with the model controls, the mice in the AB groups showed significant increases in the testis coefficient, kidney index, sperm concentration, sperm motility, spermatogonia, primary spermatocytes, spermatids, sperm count and the serum T level (P<0.05 or P<0.01), but dramatic decreases in the apoptosis of testis cells and percentage of morphologically abnormal sperm (P<0.01). Achyranthes bidentata also significantly elevated the levels of SOD and CAT, and down-regulated the mRNA expressions of MDA, TNF-α and IL-1β (P<0.05 or P<0.01), and up-regulated the protein expressions of HK2, PKM2, PFKP, LDHA, REC8 and SCP3, and expressions of the glycolysis key genes Pfk1 and Pgk1 (P<0.05 or P<0.01).
CONCLUSION
Achyranthes bidentata ameliorates doxorubicin-induced spermatogenic disorder in mice by regulating the glycolytic pathway and reducing oxidative stress and the expressions of inflammatory factors.
Glycolysis/drug effects*
;
Doxorubicin/toxicity*
;
Spermatogenesis/drug effects*
;
Random Allocation
;
Male
;
Animals
;
Mice
;
Disease Models, Animal
;
Achyranthes/chemistry*
;
Spermatozoa/pathology*
;
Oxidative Stress/drug effects*
;
Primary Cell Culture
;
Apoptosis/drug effects*
;
Sperm Motility/drug effects*
;
Testis/pathology*
;
Infertility, Male/prevention & control*
;
Medicine, Chinese Traditional/methods*
;
Animals, Outbred Strains
3.Career development of targeted admission medical students:A seven-year follow-up analysis based on four medical colleges
Hao-Qing TANG ; Hui-Xian ZHENG ; Bai-Song ZHANG ; Ming-Yue LI ; Xiao-Yun LIU
Chinese Journal of Health Policy 2024;17(1):43-50
Objective:Utilizing a seven-year panel data set of a targeted admission medical student cohort,this study aims to examine their career development and provide insights for retaining healthcare talent in township health centers and village clinics in the central and western rural areas of China.Method:Starting from 2015,cohorts of targeted and general clinical graduates from four medical colleges in central and western China were selected and tracked for their career progression.Results:The targeted graduates'standardized residency training and medical licensing examination pass rates were similar to those of general clinical graduates.They advanced more quickly in professional titles and positions,with 82.5%becoming attending physicians and 16.2%obtaining positions in the seventh year after graduation.However,their monthly income was significantly lower than that of general clinical graduates,and this income discrepancy expanded annually.As of December 2022,among the 493 targeted graduates who completed their contracts,38.5%stayed in grassroots positions.Of those who left,60%moved to county-level or higher public hospitals,7.9%pursued further studies,and 27.7%were unemployed.Conclusion:Targeted graduates are well-trained and advance rapidly in their careers,but their lower income significantly impacts their willingness to remain at the grassroots level.After completing their service period,about one-third of the targeted graduates choose to stay in grassroots positions.
4. Network pharmacology-based study on mechanism of Zhi-Huang-Zhi-Tong powder in rheumatoid arthritis treatment
Xiao-Yun TIAN ; Ying-Jie YANG ; Wan-Ting ZHENG ; Ming-Qing HUANG ; Li-Hong NAN ; Jian-Yu CHEN ; Hai-Yu ZHAO
Chinese Pharmacological Bulletin 2024;40(2):381-389
Aim To discover the potential active compounds and possible mechanisms in rheumatoid arthritis (RA) treatment with Zhi-Huang-Zhi-Tong powder (ZHZTP) by using network pharmacology and in vitro study. Methods The active ingredient targets and disease targets of Zhihuang Zhitong Powder were searched and screened by database; they intersected to get a common target; and the "drug-component-target" relationship network diagram was constructed for GO and KEGG enrichment analysis of the overlapping genes; then the core components were docked with the core targets. Finally, based on the inflammation model of HUVECs in vitro, the efficacy and mechanism of Zhihuang Zhitong powder were verified by MTT method, plate scratch test and Western blot. Results Active compounds involved in RA treatment were screened in the present study, and the top two were ursolic acid and emodin, all playing crucial roles in RA treatment with ZHZTP. Additionally, the key target was AKTA, TNF and IL-6. GO and KEGG enrichment analysis revealed that ZHZTP regulated BP, MF and CC, and also focused on regulating AKTA, TNF and IL-6 signaling pathway. Molecular docking showed that interactions between key active compounds and key targets were stable. In vitro ZHZTP significantly inhibited cell viability and migration of TNF-a-stimulated HUVECs, and the involved mechanism may be associated with PI3K/AKT/m-TOR signaling. Conclusions The present study reveals that the potential active compounds of ZHZTP are ursolic acid and emodin, and moreover, the involved mechanisms of ZHZTP for RA treatment are associated with PI3 K/AKT/m-TOR signaling.
5.A real-world retrospective study of pelvic floor muscle training efficacy using an APP-based home device
Ji-Qiong ZHENG ; Shi-Ping ZHOU ; Zhong-Yun ZHANG ; Wei-Qing QIAN ; Zheng-Wang ZHANG
Fudan University Journal of Medical Sciences 2024;51(1):96-101
Objective To retrospectively investigate the efficacy of pelvic floor muscle training(PFMT)using APP-based home device in the real-world scenario.Methods A retrospective survey was conducted among 171 000 Chinese female users over 18 years old who freely registered APP and performed PFMT using a domestic manufactured home device from Oct 1,2019 to Mar 31,2021.The Patient Global Impression of Improvement(PGI-I)questionnaires concerning pelvic floor general condition,sexual satisfaction and other three major symptoms related to pelvic floor muscle laxity such as stress urinary incontinence(SUI),pelvic organ prolapse(POP),and vaginal laxity(VL)were broadcast public online for users to self-assess the improvement.The vaginal muscle strength values prior and post training recorded by APP were also reported.All data were collected anonymously for further stratified analysis.Results A total of 984 valid questionnaires were collected by systematic sampling.The PGI-I scores of pelvic floor general condition(P=0.000 1),sexual satisfaction(P=0.009),SUI(P=0.000 1),POP(P=0.044)and VL(P=0.034)were statistically significant in users who reported to use the device for 3 months or more compared with those less than 3 months.In addition,the increase of vaginal muscle strength was related to the improvement of PGI-I scores in SUI and POP with statistical significance.There were no significant difference in subgroups such as age,education,parity,and delivery mode.Conclusion The subjective benefit of pelvic floor function-related symptoms and the improvement of vaginal muscle strength could be observed after PFMT for three months or more using APP-based home device in Chinese women in the real-world scenario.
6.Establishment of a rapid detection method for Pseudomonas aeruginosa based on real-time fluorescent recombinase polymerase amplification technology
Yun XING ; Yan ZHANG ; Daohong ZHOU ; Qiu ZHONG ; Yuansu JIANG ; Qing HUANG ; Baihui ZHENG
International Journal of Laboratory Medicine 2024;45(19):2329-2333
Objective To establish a real-time fluorescent recombinase polymerase amplification(RPA)technology for the detection of the virulence gene exoS of Pseudomonas aeruginosa,and evaluate the specifici-ty,sensitivity and practicability of the method.Methods According to the specific conserved region of the vir-ulence gene exoS of Pseudomonas aeruginosa,the specific primers and probes of RPA were designed,and the extracted target DNA was detected to determine the specificity and sensitivity of RPA.Real-time fluorescence quantitative PCR(qPCR)was established to detect the target DNA,and the detection limits of different detec-tion methods for Pseudomonas aeruginosa were compared.The feasibility of RPA in detecting Pseudomonas aeruginosa was further confirmed by the performance verification test of clinical samples.Results The estab-lished RPA detection method had good specificity.Only Pseudomonas aeruginosa had specific amplification curve,but no specific amplification curve for other bacteria.The sensitivity of RPA was 5×102 cfu/mL,which was consistent with the detection limit of qPCR and the results were reliable.The detection time of RPA method was only 30 min,which was significantly lower than that of the traditional method.Conclusion The RPA method for the detection of Pseudomonas aeruginosa established in this study has high specificity and sensitivity,and significantly shortens the detection time compared with the traditional detection method.It can be used for the rapid detection of Pseudomonas aeruginosa in clinical specimens.
7.Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture (version 2024)
Yun HAN ; Feifei JIA ; Qing LU ; Xingling XIAO ; Hua LIN ; Ying YING ; Junqin DING ; Min GUI ; Xiaojing SU ; Yaping CHEN ; Ping ZHANG ; Yun XU ; Tianwen HUANG ; Jiali CHEN ; Yi WANG ; Luo FAN ; Fanghui DONG ; Wenjuan ZHOU ; Wanxia LUO ; Xiaoyan XU ; Chunhua DENG ; Xiaohua CHEN ; Yuliu ZHENG ; Dekun YI ; Lin ZHANG ; Hanli PAN ; Jie CHEN ; Kaipeng ZHUANG ; Yang ZHOU ; Sui WENJIE ; Ning NING ; Songmei WU ; Jinli GUO ; Sanlian HU ; Lunlan LI ; Xiangyan KONG ; Hui YU ; Yifei ZHU ; Xifen YU ; Chen CHEN ; Shuixia LI ; Yuan GAO ; Xiuting LI ; Leling FENG
Chinese Journal of Trauma 2024;40(9):769-780
Hip fracture in the elderly is characterized by high incidence, high disability rate, and high mortality and has been recognized as a public health issue threatening their health. Surgery is the preferred choice for the treatment of elderly patients with hip fracture. However, lower extremity deep venous thrombosis (DVT) has an extremely high incidence rate during the perioperative period, and may significantly increase the risk of patients′ death once it progresses to pulmonary embolism. In response to this issue, the clinical guidelines and expert consensuses all emphasize active application of comprehensive preventive measures, including basic prevention, physical prevention, and pharmacological prevention. In this prevention system, basic prevention is the basis of physical and pharmacological prevention. However,there is a lack of unified and definite recommendations for basic preventive measures in clinical practice. To this end, the Orthopedic Nursing Professional Committee of the Chinese Nursing Association and Nursing Department of the Orthopedic Branch of the China International Exchange and Promotive Association for Medical and Health Care organized relevant nursing experts to formulate Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture ( version 2024) . A total of 10 recommendations were proposed, aiming to standardize the basic preventive measures for lower extremity DVT in elderly patients with hip fractures during the perioperative period and promote their subsequent rehabilitation.
8.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
9.Study on anti-myocardial ischemia active components and mechanism of Xinkeshu tablets based on network pharmacology and zebrafish model
Lin-Hua HOU ; Hua-Zheng ZHANG ; Shuo GAO ; Yun ZHANG ; Qiu-Xia HE ; Ke-Chun LIU ; Chen SUN ; Jian-Heng LI ; Qing XIA
Chinese Pharmacological Bulletin 2024;40(5):964-974
Aim To study the active ingredients and mechanism of action of Xinkeshu tablets against myo-cardial ischemia by network pharmacology and ze-brafish model.Methods The anti-myocardial ische-mia activity of Xinkeshu tablets was evaluated by iso-prenaline hydrochloride(ISO)-induced zebrafish myo-cardial ischemia model and H2O2-induced H9c2 dam-age model.The active ingredients of Xinkeshu tablets were retrieved using databases such as TCMSP.The potential targets were predicted by PharmaMapper data-base.Myocardial ischemic disease targets were searched by OMIM database.The potential therapeutic targets of Xinkeshu tablets against myocardial ischemia were analyzed.GO and KEGG enrichment analysis were conducted on core targets.The active ingredients were verified by zebrafish and cell model.qRT-PCR was used to detect the expression of key targets.Re-sults Xinkeshu tablets could significantly alleviate ISO-induced pericardial edema and bradycardia.It al-so could increase sinus venous-bulb aortic(SV-BA)distance and improve the cell viability.The 30 poten-tial active ingredients of Xinkeshu tables mainly acted on 30 core targets,including ALB,AKT1 and MAPK1,to regulate 627 GO items,including protein phosphorylation,negative regulation of apoptosis and positive regulation of PI3K signal transduction.KEGG results showed that 117 signaling pathways,including PI3K/Akt,FOXO and Ras,exerted anti-myocardial ischemia effect.Salvianolic acid A,lithospermic acid,rosmarinic acid,salvianolic acid D,salvianolic acid B,ginsenoside Rg2,hyperoside,3'-methoxypuerarin,3'-hydroxypuerarin and ginsenoside Rg1 could alleviate ISO-induced zebrafish myocardial ischemia and im-prove the cell viability.Xinkeshu tablets could upregu-late the expression of genes such as ras and akt1,and downregulate the expression of genes such as mapk1 and mapk8.Conclusion The active ingredients,in-cluding salvianolic acid A in Xinkeshu tablets,exert anti-myocardial ischemia effects by targeting targets,such as AKT1,MAPK1,and regulating signaling path-ways,such as PI3K/Akt,MAPK and Ras.
10.Near Infrared Spectral Analysis Based on Data Augmentation Strategy and Convolutional Neural Network
Yun ZHENG ; Si-Yu YANG ; Tao WANG ; Zhuo-Wen DENG ; Wei-Jie LAN ; Yong-Huan YUN ; Lei-Qing PAN
Chinese Journal of Analytical Chemistry 2024;52(9):1266-1276
Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.


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