1.Association of NLRP3 genetic variant rs10754555 with early-onset coronary artery disease.
Lingfeng ZHA ; Chengqi XU ; Mengqi WANG ; Shaofang NIE ; Miao YU ; Jiangtao DONG ; Qianwen CHEN ; Tian XIE ; Meilin LIU ; Fen YANG ; Zhengfeng ZHU ; Xin TU ; Qing K WANG ; Zhilei SHAN ; Xiang CHENG
Chinese Medical Journal 2025;138(21):2844-2846
2.Association between short-term exposure to meteorological factors on hospital admissions for hemorrhagic stroke: an individual-level, case-crossover study in Ganzhou, China.
Kailun PAN ; Fen LIN ; Kai HUANG ; Songbing ZENG ; Mingwei GUO ; Jie CAO ; Haifa DONG ; Jianing WEI ; Qiujiang XI
Environmental Health and Preventive Medicine 2025;30():12-12
BACKGROUND:
Hemorrhagic stroke (HS) is associated with significant disability and mortality. However, the relationship between meteorological factors and hemorrhagic stroke, as well as the potential moderating role of these factors, remains unclear.
METHODS:
Daily data on HS, air pollution, and meteorological conditions were collected from January 2015 to December 2021 in Ganzhou to analyze the relationship between meteorological factors and HS admissions. This analysis employed a time-stratified case-crossover design in conjunction with a distributional lag nonlinear model. Additionally, a bivariate response surface modelling was utilized to further investigate the interaction between meteorological factors and particulate matter. The study also stratified the analyses by gender and age. To investigate the potential impact of extreme weather conditions on HS, this study defined the 97.5th percentile as representing extremely high weather conditions, while the 2.5th percentile was classified as extremely low.
RESULTS:
In single-day lags, the risk of admissions for HS was significantly associated with extremely low temperature (lag 1-2 and lag 13-14), extremely low humidity (lag 1 and lag 9-12), and extremely high precipitation (lag 2-7). Females exhibited greater susceptibility to extremely low temperature than males within the single-day lag pattern in the subcomponent layer, with a maximum relative risk (RR) that was 7% higher. In the cumulative lag analysis, the risk of HS admissions was significantly associated with extremely high temperature (lag 0-8∼lag 0-14), extremely low humidity (lag 0-2∼lag 0-14), and extremely high precipitation (lag 0-4∼lag 0-14). Within the cumulative lag day structure of the subcomponent layer, both extremely low and extremely high temperature had a more pronounced effect on females and aged ≥65 years. The risk of HS admissions was positively associated with extremely high barometric pressure in the female subgroups (lag 0-1 and lag 0-2). The highest number of HS admissions occurred when high PM2.5 concentrations coexisted with low precipitation.
CONCLUSIONS
Meteorological factors were significantly associated with the risk of hospital admissions for HS. Individuals who were female and aged ≥65 years were found to be more susceptible to these meteorological influences. Additionally, an interaction was observed between airborne particulate matter and meteorological factors. These findings contributed new evidence to the association between meteorological factors and HS.
China/epidemiology*
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Humans
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Female
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Male
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Aged
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Middle Aged
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Cross-Over Studies
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Hospitalization/statistics & numerical data*
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Adult
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Hemorrhagic Stroke/etiology*
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Meteorological Concepts
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Weather
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Particulate Matter/analysis*
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Air Pollution/adverse effects*
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Environmental Exposure/adverse effects*
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Aged, 80 and over
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Young Adult
3.Huanglian-Renshen-Decoction Maintains Islet β-Cell Identity in T2DM Mice through Regulating GLP-1 and GLP-1R in Both Islet and Intestine.
Wen-Bin WU ; Fan GAO ; Yue-Heng TANG ; Hong-Zhan WANG ; Hui DONG ; Fu-Er LU ; Fen YUAN
Chinese journal of integrative medicine 2025;31(1):39-48
OBJECTIVE:
To elucidate the effect of Huanglian-Renshen-Decoction (HRD) on ameliorating type 2 diabetes mellitus by maintaining islet β -cell identity through regulating paracrine and endocrine glucagon-like peptide-1 (GLP-1)/GLP-1 receptor (GLP-1R) in both islet and intestine.
METHODS:
The db/db mice were divided into the model (distilled water), low-dose HRD (LHRD, 3 g/kg), high-dose HRD (HHRD, 6 g/kg), and liraglutide (400 µ g/kg) groups using a random number table, 8 mice in each group. The db/m mice were used as the control group (n=8, distilled water). The entire treatment of mice lasted for 6 weeks. Blood insulin, glucose, and GLP-1 levels were quantified using enzyme-linked immunosorbent assay kits. The proliferation and apoptosis factors of islet cells were determined by immunohistochemistry (IHC) and immunofluorescence (IF) staining. Then, GLP-1, GLP-1R, prohormone convertase 1/3 (PC1/3), PC2, v-maf musculoaponeurotic fibrosarcoma oncogene homologue A (MafA), and pancreatic and duodenal homeobox 1 (PDX1) were detected by Western blot, IHC, IF, and real-time quantitative polymerase chain reaction, respectively.
RESULTS:
HRD reduced the weight and blood glucose of the db/db mice, and improved insulin sensitivity at the same time (P<0.05 or P<0.01). HRD also promoted mice to secrete more insulin and less glucagon (P<0.05 or P<0.01). Moreover, it also increased the number of islet β cell and decreased islet α cell mass (P<0.01). After HRD treatment, the levels of GLP-1, GLP-1R, PC1/3, PC2, MafA, and PDX1 in the pancreas and intestine significantly increased (P<0.05 or P<0.01).
CONCLUSION
HRD can maintain the normal function and identity of islet β cell, and the underlying mechanism is related to promoting the paracrine and endocrine activation of GLP-1 in pancreas and intestine.
Animals
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Glucagon-Like Peptide 1/metabolism*
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Diabetes Mellitus, Type 2/metabolism*
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Glucagon-Like Peptide-1 Receptor/metabolism*
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Insulin-Secreting Cells/pathology*
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Drugs, Chinese Herbal/pharmacology*
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Male
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Blood Glucose/metabolism*
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Insulin/blood*
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Mice
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Intestinal Mucosa/pathology*
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Apoptosis/drug effects*
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Cell Proliferation/drug effects*
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Islets of Langerhans/pathology*
4.NSUN2 promotes proliferation, migration, and invasion of gastric cancer cells by mediating m5C modification of ARMC9
Yue LI ; Dong CHEN ; Jin WANG ; Yi PENG ; Yuanqi ZHANG ; Fen YANG ; Xuejun WANG
Journal of China Pharmaceutical University 2025;56(5):583-591
To investigate the impact and underlying mechanism of NOP2/Sun RNA methyltransferase 2 (NSUN2) on gastric cancer progression, TCGA database was used and revealed a significant upregulation of NSUN2 expression in gastric cancer tissues. Western blot analysis revealed that NSUN2 was upregulated in gastric cancer cells compared with gastric mucosal epithelial cells. Colony formation assays demonstrated an enhanced colony-forming capacity in NSUN2-overexpressing cells. Furthermore, Transwell assays showed a marked increase in cell migration and invasion upon high NSUN2 expression. Moreover, TCGA database analysis suggested ARMC9 as a potential downstream target of NSUN2. Subsequently, MeRIP-qPCR analysis revealed that NSUN2 overexpression could increase m5C modification of ARMC9 mRNA, and reduce its degradation rate, thus enhancing protein expression. Additionally, ARMC9 overexpression augmented cellular colony formation and migratory and invasive capabilities. These findings indicate that NSUN2 promotes gastric cancer progression by elevating m5C modification of ARMC9 mRNA, increasing its stability and enhancing its expression, therefore, NSUN2 and ARMC9 may serve as potential therapeutic targets for gastric cancer.
5.Research status of gene mutation encoding cardiomyocyte sarcomere and hypertrophic cardiomyopathy
Ya-Fen CHEN ; Cheng-Yi WANG ; Li-Xia YU ; Shu-Su DONG ; Li-Ming CHEN ; Hai-Ying WANG
The Chinese Journal of Clinical Pharmacology 2024;40(1):130-134
Mutations in myosin heavy chain 7(MYH7)and myosin binding protein C3(MYBPC3)genes encoding thick filaments are the main cause of hypertrophic cardiomyopathy(HCM),while a small part of HCM is caused by mutations of troponin C1,slow skeletal and cardiac type(TNNC1),troponin T2,cardiac type(TNNT2),troponin I3,cardiac type(TNNI3),actin alpha cardiac muscle 1(ACTC1),and tropomyosin 1(TPM1)genes encoding thin filaments.In this review,we mainly introduce the detailed mechanism and research status of HCM caused by mutations of the gene encoding cardiomyocyte sarcomere in the past few years,in order to provide reference for further study of the pathogenesis and treatment of HCM.
6.Influenza and pneumococcal vaccination coverage and associated factors in patients hospitalized with acute exacerbations of COPD in China: Findings from real-world data
Ruoxi HE ; Xiaoxia REN ; Ke HUANG ; Jieping LEI ; Hongtao NIU ; Wei LI ; Fen DONG ; Baicun LI ; Ye WANG ; Ting YANG ; Chen WANG
Chinese Medical Journal 2024;137(10):1179-1189
Background::Influenza and pneumococcal vaccination are a priority in patients with chronic obstructive pulmonary disease (COPD). However, limited information is available on vaccination coverage among patients with acute exacerbations of COPD (AECOPD) in China. This study aimed to determine the rates and associated factors of influenza and pneumococcal vaccination in patients hospitalized with AECOPD.Methods::Baseline data from a national, multicenter, hospital-based study that included adult inpatients with AECOPD between 2017 and 2021 were analyzed. The outcomes of interest were the influenza vaccination in the past year and the pneumococcal vaccination in the past 5 years. To ensure national representativeness, rates were weighted according to the distribution of hospital levels and types enrolled in this study. Multivariable Poisson regression based on mixed-effects models were used to determine the associated factors. The independent variables included the region and hospital features where the participants were located, sociodemographic characteristics (age, sex, rural/urban residence, education, etc.), and clinical indicators (COPD disease history, lung function parameters, comorbidities, etc.). The treatment profiles of the vaccinated and unvaccinated participants were compared.Results::Of 6949 eligible participants, the weighted rates of influenza/pneumococcal, influenza, and pneumococcal vaccination were 2.72% (95% confidence interval [CI]: 2.34%-3.10%), 2.09% (95% CI: 1.76%-2.43%), and 1.25% (95% CI: 0.99%-1.51%), respectively. In multivariable models, age ≥60 years (60-69 years, odds ratio [OR]: 1.90, 95% CI: 1.11-3.25; ≥80 years, OR: 2.00, 95% CI: 1.06-3.78), geographical regions (Northern China relative to Eastern China, OR: 5.09, 95% CI: 1.96-13.21), urban residence (OR: 1.69, 95% CI: 1.07-2.66), a higher education level (junior high school, OR: 1.77, 95% CI: 1.21-2.58; senior high school or above, OR: 2.61, 95% CI: 1.69-4.03), former smoking (OR: 1.79, 95% CI: 1.15-2.79), and regular inhaled medication treatment (OR: 3.28, 95% CI: 2.29-4.70) were positively associated with vaccination. Patients who had experienced severe exacerbations in the past year were less likely to be vaccinated (OR: 0.65, 95% CI: 0.45-0.96). Compared with unvaccinated participants, vaccinated participants adhered better to pharmacological and non-pharmacological treatment.Conclusions::Influenza and pneumococcal vaccination coverage are extremely low. Urgent measures are necessary to increase vaccination coverage among inpatients with AECOPD in China.
7.Role of B cells in anti-PD-(L)1 therapy in tumor bearing mice
Junlei HOU ; Xuezhi YANG ; Fen DONG ; Haoran ZHA ; Fei YANG ; Bo ZHU
Journal of Army Medical University 2024;46(8):804-814
Objective To investigate the effect of tumor-infiltrating B cells on the therapeutic efficacy of programmed death ligand-1[PD-(L)1]inhibitors and elucidate the potential mechanisms.Methods Based on immunotherapy cohorts for melanoma patients in public databases,the relationship of B cells with progression-free survival (PFS) and response to immune checkpoint inhibitors treatment was analyzed.TC-1 and B16-OVA cells were implanted subcutaneously and in the liver in 6-8-week-old female C57BL/6 mice to establish tumor xenograft models.The effect of B cell clearance on PD-(L)1 therapy was compared.Flow cytometry was performed on the 15th day of TC-1 tumor microenvironment (TME)to confirm the number,function and phenotypic changes of T cells.Flow cytometry and quantitative real-time polymerase chain reaction (qPCR)were used to detect B cell surface molecules and cytokines.Results Based on ERP105482 data from the ICBatlas public database,high CD19 expression in the tumors was associated with longer PFS in melanoma patients (753 vs 95 d,HR=0.3,95%CI:0.13~0.65,P=0.003).B cells were significantly enriched in immunotherapy-responsive patients (P=0.01).In a mouse TC-1 liver-loaded tumor model,PD-(L)1 antibody treatment reduced tumor mass (P<0.01),whereas B-cell clearance attenuated the therapeutic efficacy.B cells enhanced PD-(L)1 antibody treatment by promoting T cell infiltration and function,and the treatment resulted in changes in B cell subsets,as evidenced by an increase in PD-1 low-expressing subsets (P<0.01).Conclusion After PD-(L)1 treatment,a decrease in PD-1 expression on B cell subsets might be one of the potential mechanisms by which B cells enhance the efficacy of PD-(L)1 therapy.
8.Risk factors for infections by multidrug-resistant organisms in elderly patients admitted to the intensive care unit
Chan WANG ; Daoran DONG ; Qiannan ZHANG ; Xiaojuan SHI ; Fen YANG ; Yuan ZONG
Chinese Journal of Geriatrics 2024;43(6):733-738
Objective:To identify risk factors for infections by multidrug-resistant organisms(MDRO)in elderly patients admitted to the intensive care unit(ICU)based on an retrospective analysis of data from the Medical Information Mart for Intensive Care-Ⅳ v2.0(MIMIC-Ⅳ v2.0).Methods:Structured query language was used to extract basic information, disease severity scores, laboratory test results, medications, medical procedures, and outcome events of elderly patients from MIMIC-Ⅳ v2.0.Patients were divided into a non-MDRO group and an MDRO group based on whether they had MDRO infections.Univariate analysis was performed according to the type of variables.For significant variables identified from univariate analysis, logistic regression was used to calculate the odds ratio and the 95% confidence interval for MDRO infections.The Kaplan-Meier method was used to draw survival curves.The log-rank test was used to analyze the 28-day survival rate.Results:A total of 31 237 cases were enrolled, including 26 032 with non-MDRO infections and 5 205 with MDRO infections.The MDRO infection rate was 16.7%.MDRO were most frequently found in urine cultures, and the most common bacteria belonged to the genus Enterobacter.Multivariate logistic regression analysis showed that age( P=0.006), being male( P<0.001), coronary artery disease( P<0.001), brain disease( P=0.042), hemoglobin( P<0.001), albumin( P<0.001), and mechanical ventilation( P<0.001)were protective factors against MDRO infections.Diabetes( P<0.001), COPD( P<0.001), chronic kidney disease( P<0.001), white blood cell( P=0.001), SAPS Ⅱ( P<0.001), previous use of antibiotics( P<0.001), use of proton pump inhibitors( P<0.001), glucocorticoids( P<0.001), immunosuppressants( P<0.001)and sedatives( P<0.001), and continuous renal replacement therapy(CRRT)( P=0.015)were risk factors for MDRO infections.The 28-day mortality rates of the non-MDRO and MDRO groups were 16.3% and 19.1%, respectively.The log-rank test showed that the difference between two groups was statistically significant( P<0.001). Conclusions:The mortality rate among patients with MDRO infections is higher than among those with non-MDRO infections.Previous use of antibiotics, use of proton pump inhibitors, glucocorticoids, immunosuppressants and sedatives, mechanical ventilation, and CRRT are risk factors for MDRO infections.
9.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.
10.Surveillance of antifungal resistance in clinical isolates of Candida spp.in East China Invasive Fungal Infection Group from 2018 to 2022
Dongjiang WANG ; Wenjuan WU ; Jian GUO ; Min ZHANG ; Huiping LIN ; Feifei WAN ; Xiaobo MA ; Yueting LI ; Jia LI ; Huiqiong JIA ; Lingbing ZENG ; Xiuhai LU ; Yan JIN ; Jinfeng CAI ; Wei LI ; Zhimin BAI ; Yongqin WU ; Hui DING ; Zhongxian LIAO ; Gen LI ; Hui ZHANG ; Hongwei MENG ; Changzi DENG ; Feng CHEN ; Na JIANG ; Jie QIN ; Guoping DONG ; Jinghua ZHANG ; Wei XI ; Haomin ZHANG ; Rong TANG ; Li LI ; Suzhen WANG ; Fen PAN ; Jing GAO ; Lu JIANG ; Hua FANG ; Zhilan LI ; Yiqun YUAN ; Guoqing WANG ; Yuanxia WANG ; Liping WANG
Chinese Journal of Infection and Chemotherapy 2024;24(4):402-409
Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33%of which were isolated from sterile body sites,mainly from blood(38.86%)and pleural effusion/ascites(10.21%).The predominant species of Candida were Candida albicans(44.51%),followed by Candida parapsilosis complex(19.46%),Candida tropicalis(13.98%),Candida glabrata(10.34%),and other Candida species(0.79%).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62%).Only 2.97%of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61%and a resistance rate of 9.42%to fluconazole,and susceptibility rates above 90%to other drugs.Candida glabrata had a SDD rate of 92.01%and a resistance rate of 7.99%to fluconazole,resistance rates of 32.27%and 48.24%to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90%to other drugs.Candida tropicalis had resistance rates of 29.55%and 26.24%to fluconazole and voriconazole,respectively,resistance rates of 76.60%and 21.99%to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36%to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.

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