1.Spatio-temporal clustering analysis of influenza in Shaoxing City from 2015 to 2024
MA Shanshan ; ZHAO Qifeng ; MA Yan ; WANG Jiling ; CHEN Haimiao ; FANG Yirong
Journal of Preventive Medicine 2025;37(9):945-949
Objective:
To investigate the spatio-temporal clustering characteristics of influenza in Shaoxing City, Zhejiang Province from 2015 to 2024, so as to provide the basis for formulating influenza prevention and control strategies.
Methods:
Influenza case data in Shaoxing City from 2015 to 2024 were collected through the Infectious Disease Surveillance Reporting System of the Chinese Disease Prevention and Control Information System. Descriptive epidemiological methods analyses were used to analyze the epidemiological characteristics of influenza. Spatial autocorrelation and spatio-temporal scanning were used to analyze the spatio-temporal clustering characteristics of influenza.
Results:
A total of 328 759 influenza cases were reported in Shaoxing City from 2015 to 2024, with an average annual reported incidence of 639.90/100 000, which showed an upward trend (AAPC=68.95%, P<0.05). The peak incidence period was from December to February of the following year, with 193 051 cases reported, accounting for 58.72%. There were 165 408 male cases and 163 351 female cases, with a male-to-female ratio of 1.01∶1. Children and adolescents aged 0-<15 years constituted the high-incidence population, while students represented the predominant occupational category, comprising 113 589 cases (34.55%). Keqiao District, Shengzhou City, and Yuecheng District had the top three average annual reported incidence of influenza, at 995.64/100 000, 734.66/100 000, and 687.44/100 000, respectively. Spatial autocorrelation analysis showed that, there were 155 high-high aggregation areas in Shaoxing City from 2015 to 2024, which gradually expanded from the local aggregation in the central part of Shengzhou City to Keqiao District and then spread to Yuecheng District. Spatio-temporal scanning analysis showed that, from November 2023 to February 2024, the strongest spatio-temporal clustering of influenza centered on Keqiao Street in Keqiao District, covering 11 towns (streets) in Yuecheng District and Keqiao District. From 2015 to 2018, the primary-type clustering of influenza was mainly concentrated in Xinchang County and Shengzhou City. After 2019, they gradually shifted to Yuecheng District and Keqiao District, with the main clustering period being from November to February of the following year.
Conclusions
The incidence of influenza in Shaoxing City from 2015 to 2024 showed an upward trend, with obvious spatio-temporal clustering. The clustering area expanded from Shengzhou City in the central region to Keqiao District and Yuecheng District in the northern region, mainly clustering from November to February of the following year.
2.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
3.Microbial metabolite 3-indolepropionic acid alleviated PD pathologies by decreasing enteric glia cell gliosis via suppressing IL-13Rα1 related signaling pathways.
Meiyu SHANG ; Jingwen NING ; Caixia ZANG ; Jingwei MA ; Yang YANG ; Zhirong WAN ; Jing ZHAO ; Yueqi JIANG ; Qiuzhu CHEN ; Yirong DONG ; Jinrong WANG ; Fangfang LI ; Xiuqi BAO ; Dan ZHANG
Acta Pharmaceutica Sinica B 2025;15(4):2024-2038
Although enteric glial cell (EGC) abnormal activation is reported to be involved in the pathogenesis of Parkinson's disease (PD), and inhibition of EGC gliosis alleviated gut and dopaminergic neuronal dysfunction was verified in our previous study, the potential role of gut microbiota on EGC function in PD still need to be addressed. In the present study, fecal microbiota transplantation revealed that EGC function was regulated by gut microbiota. By employing 16S rRNA and metabolomic analysis, we identified that 3-indolepropionic acid (IPA) was the most affected differential microbial metabolite that regulated EGC gliosis. The protective effects of IPA on PD were validated in rotenone-stimulated EGCs and rotenone (30 mg/kg i.g. for 4 weeks)-induced PD mice, as indicated by decreased inflammation, improved intestinal and brain barrier as well as dopaminergic neuronal function. Mechanistic study showed that IPA targeted pregnane X receptor (PXR) in EGCs, and inhibition of IL-13Rα1 involved cytokine-cytokine receptor interaction pathway, leading to inactivation of downstream JAK1-STAT6 pathway. Our data not only provided evidence that EGC gliosis was critical in spreading intestinal damage to brain, but also highlighted the potential role of microbial metabolite IPA in alleviating PD pathological damages through gut-brain axis.
4.Erratum: Author correction to "Microbial metabolite 3-indolepropionic acid alleviated PD pathologies by decreasing enteric glia cell gliosis via suppressing IL-13Rα1 related signaling pathways" Acta Pharm Sin B 15 (2025) 2024-2038.
Meiyu SHANG ; Jingwen NING ; Caixia ZANG ; Jingwei MA ; Yang YANG ; Zhirong WAN ; Jing ZHAO ; Yueqi JIANG ; Qiuzhu CHEN ; Yirong DONG ; Jinrong WANG ; Fangfang LI ; Xiuqi BAO ; Dan ZHANG
Acta Pharmaceutica Sinica B 2025;15(9):4972-4972
[This corrects the article DOI: 10.1016/j.apsb.2025.02.029.].
5.Effectiveness and Safety of Tigecycline Combined with Cefoperazone-sulbactam Sodium in the Treatment of Multi-/extensively-drug Resistant Acinetobacter baumannii-associated Central Nervous System Infection:A Meta-analysis
Taojunjin LU ; Mingjuan ZHAO ; Wei WANG ; Zhiyong PAN ; Qin HU ; Yirong LI ; Zhiqiang LI
Herald of Medicine 2024;43(1):131-136
Objective To evaluate the efficacy and safety of tigecycline combined with cefoperazone-sulbactam sodium in the treatment of multi-/extensively-drug resistant Acinetobacter baumannii(MDRAB/XDRAB)associated central nervous system(CNS)infection,and to provide clinical evidence for antibiotic treatment of MDRAB/XDRAB-related intracranial disease.Methods The Wanfang Data Knowledge Service Platform,Chinese Biomedical Literature Database,VIP Chinese Science and Technology Journal Full-text Database,China National Knowledge Infrastructure(CNKI),Pubmed,Embase database,and Cochrane Library were searched to extract the literature of randomized controlled studies on tigecycline and cefoperazone sulbactam in the treatment of MDRAB/XDRAB CNS infection until September 1st,2022.The included studies were assessed for quality using the Cochrane Collaboration Risk of Bias assessment tool,and valid data were extracted and meta-analyzed using RevMan5.4 software.Results A total of 184 articles were screened and 4 Chinese RCTs were finally included,with a sample size of 267 cases.Meta-analysis showed that the overall efficacy of combination therapy for MDRAB/XDRAB CNS infection was better than monotherapy[OR = 4.30,95%CI =(1.93,9.58),P<0.01].Combination therapy had a better bacterial clearance[OR=4.20,95%CI=(2.08,8.48),P<0.01].And combination therapy resulted in a lower incidence of adverse effects[OR= 0.19,95%CI =(0.05,0.67),P<0.05].There was no apparent difference in cure rate between combination therapy and monotherapy(P>0.05).Conclusion Current evidence suggests that tigecycline combined with cefoperazone-sulbactam sodium may have better clinical efficacy and safety than monotherapy for MDRAB/XDRAB CNS infections.Limited by the number and quality of included studies,needs to be verified by more and higher-quality studies.
6.Epidemiological characteristics of brucellosis in Shaoxing City from 2005 to 2023
ZHAO Qifeng ; WANG Jiling ; MA Yan ; FANG Yirong
Journal of Preventive Medicine 2024;36(9):806-808,812
Objective:
To analyze epidemiological characteristics of brucellosis in Shaoxing City, Zhejiang Province from 2005 to 2023, so as to provide the basis for developing targeted control measures.
Methods:
Data of brucellosis cases and epidemiological investigation in Shaoxing City from 2005 to 2023 were collected from the Monitoring and Reporting Management System of the Chinese Disease Prevention and Control Information System. The epidemiological characteristics of brucellosis were descriptively analyzed, the trend in incidence of brucellosis was analyzed using average annual percent change (AAPC).
Results:
A total of 270 cases of brucellosis were reported in Shaoxing City from 2005 to 2023, with an average annual incidence of 0.29/105. The AAPC was 0.812%, with no significant changing trend (P>0.05). The incidence of brucellosis peaked from February to March, with 80 cases (29.63%). The reported cases were mainly distributed in Shangyu District (139 cases, 51.48%) and Shengzhou City (74 cases, 27.41%). There were 188 male cases and 82 female cases, with a male-to-female ratio of 2.29∶1. The cases were primarily concentrated in the age group of 40 to <70 years, with 205 cases accounting for 75.93%. Among these, 86 cases were reported in the 50 to <60 years of age group, accounting for 41.95%. The majority of the cases were farmers, with 187 cases accounting for 69.26%. The median interval from onset to diagnosis was 22.73 (interquartile range, 39.97) days, with a delayed diagnosis rate of 62.96%. Infections through breeding, selling and transporting cattle and sheep resulted in 164 cases (60.74%), and through buying and slaughtering resulted in 36 cases (13.33%). An outbreak of brucellosis was reported in Xinchang County in 2018, with three confirmed cases.
Conclusions
The incidence of brucellosis in Shaoxing City had no significant change from 2005 to 2023. The peak period was from February to March. The cases were mainly distributed in Shangyu District and Shengzhou City. People aged 50 to <60 years, males, and farmers were the key groups for prevention and control.
7.Analysis of pediatric flexible flatfoot screening and associated factors among children aged 7-8 in Changzhou City
Chinese Journal of School Health 2024;45(10):1471-1475
Objective:
To analyze the prevalence and related factors of pediatric flexible flatfoot (PFF) among 7-8 year old children in Changzhou, so as to provide a feasible basis for the prevention and treatment of PFF.
Methods:
From December 2023 to February 2024, a total of 1 685 children aged 7-8 from 10 primary schools in Changzhou were selected by stratified cluster random sampling method, and screened for PFF by using a foot optical assessment recording device. Information including sex, body mass index (BMI), diet, exercise and shoe wearing habits were collected. The valgus angle of the hindfoot was measured on the body surface by using an orthopedic measuring ruler in the standing position. Pain levels were evaluated by using visual analogue score (VAS) for children with flatfoot syndrome. Multivariate Logistic analysis was used to analyze related factors of PFF.
Results:
The overall detection rate of PFF was 27.4%, and there was a significant difference in the detection rate of PFF between boys and girls, with 30.3% and 24.1% respectively ( χ 2=7.96, P < 0.01 ). Most cases of PFF were mild flatfoot (60.8%) and bilateral ( 60.4% ). Approximately 13.2% of children with PFF had flatfoot syndrome, with a mean VAS of (2.86±0.73). About 56.1% of children with PFF had a normal valgus angle of the hindfoot. Sex, high BMI and preference for shoe last with front upturned shoe shape were positively correlated with the detection of PFF ( OR= 1.74, 1.54, 1.13, P <0.05). After stratified by sex, regular exercise in boys and age in girls were negatively correlated with the detection of PFF ( OR=0.40, 0.64, P <0.05).
Conclusions
The detection rate of PFF in 7-8 year old children is high. Additionally, PFF combined with flatfoot syndrome or valgus hindfoot is relatively rare and is likely to be underestimated, which emphasizes the importance of early detection and intervention for PFF.
8.A case of primary amoebic meningoencephalitis in children caused by Naegleria fowleri
Yongwei DUAN ; Dongxu LI ; Jin ZHAO ; Hui SHEN ; Guangming YE ; Yirong LI ; Wen XIE
Chinese Journal of Laboratory Medicine 2024;47(6):693-697
A 14-year-old boy presented with coma and convulsion following a 3-day high fever of unknown origin was initially diagnosed with a central nervous system infection with uncertain pathogen. Direct microscopic examination of wet slides of cerebrospinal fluid cytology revealed active amoeboid trophozoites with different shapes. The amoeba trophozoite could be seen at high magnification after Wright′s-Giemsa staining. A diagnosis of primary amoebic meningoencephalitis was made according to the cellular morphology results of the cerebrospinal fluid, imaging data, and clinical symptoms. After high-throughput gene detection targeting the infection pathogen and specific PCR verification of amoeba species, it was confirmed that the infection was caused by Naegleria fowleri. Timely antiamoebic treatment and other related treatments were implemented, but the patient progressed to brain death after 50 days, leading to the discontinuation of treatment by the family.
9.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
10.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; 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 ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.


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