1.Exploration of Traditional Chinese and Western Medicine in Prevention and Treatment of DKD Based on Mitochondrial Autophagy Mediated by PINK1/Parkin Signaling Pathway: A Review
Runsheng LIU ; Xiaodong ZHANG ; Zhaoqing LI ; Jing WANG ; Jinglu ZHANG ; Lixia JIN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):302-313
Diabetic kidney disease (DKD) is one of the more common chronic kidney diseases,and its causes are complex. DKD is very easy to progress to end-stage renal disease,and the current therapeutic effect still needs to be improved. As an important excretive organ of the human body, the kidney has physiological functions such as discharging metabolic waste, regulating fluid balance, and maintaining the stability of the body's internal environment. These highly complex biochemical processes all depend on the energy support provided by mitochondria. Mitochondrial dysfunction is a key factor causing kidney injury, and the imbalance of mitochondrial homeostasis is an important link leading to mitochondrial dysfunction. The occurrence and development of DKD are often accompanied by the imbalance of mitochondrial homeostasis in renal cells. Mitochondrial autophagy, as a means of regulating mitochondrial homeostasis, is very important for the prevention and treatment of DKD. The PTEN-induced putative kinase 1 (PINK1)/Parkin pathway is one of the most classical pathways to regulate mitochondrial autophagy. Recent studies have found that some drugs can regulate the PINK1/Parkin signaling pathway to target mitochondrial homeostasis and exert renoprotective effects. In particular, traditional Chinese medicine has a significant effect on early and middle stage DKD by regulating PINK1/Parkin pathway-mediated mitochondrial autophagy. This article discussed the mechanism of PINK1/Parkin pathway in mitochondrial autophagy and DKD and reviewed the effect of PINK1/Parkin pathway-mediated mitochondrial autophagy on DKD. At the same time, it explored the therapeutic effect of traditional Chinese and western medicine on DKD mediated by PINK1/Parkin-mediated mitochondrial autophagy, aiming to broaden the ideas of traditional Chinese and western medicine for the prevention and treatment of DKD from the perspective of PINK1/Parkin regulating mitochondrial autophagy.
2.Exploration of Traditional Chinese and Western Medicine in Prevention and Treatment of DKD Based on Mitochondrial Autophagy Mediated by PINK1/Parkin Signaling Pathway: A Review
Runsheng LIU ; Xiaodong ZHANG ; Zhaoqing LI ; Jing WANG ; Jinglu ZHANG ; Lixia JIN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):302-313
Diabetic kidney disease (DKD) is one of the more common chronic kidney diseases,and its causes are complex. DKD is very easy to progress to end-stage renal disease,and the current therapeutic effect still needs to be improved. As an important excretive organ of the human body, the kidney has physiological functions such as discharging metabolic waste, regulating fluid balance, and maintaining the stability of the body's internal environment. These highly complex biochemical processes all depend on the energy support provided by mitochondria. Mitochondrial dysfunction is a key factor causing kidney injury, and the imbalance of mitochondrial homeostasis is an important link leading to mitochondrial dysfunction. The occurrence and development of DKD are often accompanied by the imbalance of mitochondrial homeostasis in renal cells. Mitochondrial autophagy, as a means of regulating mitochondrial homeostasis, is very important for the prevention and treatment of DKD. The PTEN-induced putative kinase 1 (PINK1)/Parkin pathway is one of the most classical pathways to regulate mitochondrial autophagy. Recent studies have found that some drugs can regulate the PINK1/Parkin signaling pathway to target mitochondrial homeostasis and exert renoprotective effects. In particular, traditional Chinese medicine has a significant effect on early and middle stage DKD by regulating PINK1/Parkin pathway-mediated mitochondrial autophagy. This article discussed the mechanism of PINK1/Parkin pathway in mitochondrial autophagy and DKD and reviewed the effect of PINK1/Parkin pathway-mediated mitochondrial autophagy on DKD. At the same time, it explored the therapeutic effect of traditional Chinese and western medicine on DKD mediated by PINK1/Parkin-mediated mitochondrial autophagy, aiming to broaden the ideas of traditional Chinese and western medicine for the prevention and treatment of DKD from the perspective of PINK1/Parkin regulating mitochondrial autophagy.
3.Traditional Chinese Medicine Regulates SIRT Protease Family to Treat Renal Fibrosis: A Review
Jinglu ZHANG ; Lixia JIN ; Xiaodong ZHANG ; Runshneg LIU ; Zhe JIANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(15):306-314
Renal fibrosis (RF) is the primary pathological feature of chronic kidney disease (CKD) progression to end-stage renal disease (ESRD), with glomerulosclerosis and tubulointerstitial fibrosis as core pathological manifestations. It involves abnormal accumulation of extracellular matrix (ECM) components such as collagen and fibronectin, ultimately leading to structural destruction and functional losses of the kidneys. Sirtuins (SIRTs), a class of nicotinamide adenine dinucleotide (NAD+)-dependent deacetylases, play crucial roles in cellular metabolism, oxidative stress responses, inflammation regulation, and cell survival. In mammals, there are seven distinct SIRT members (SIRT1 to SIRT7), which collectively ameliorate RF progression through multiple pathways. These include regulating the transforming growth factor (TGF)-β/Smad signaling pathway, suppressing inflammatory responses, reducing oxidative stress, modulating mitochondrial and autophagy functions, and promoting fatty acid oxidation. In recent years, traditional Chinese medicine (TCM) and its active components have demonstrated significant potential in activating or modulating the SIRT protease family and its regulatory networks to ameliorate RF in a multi-target and holistic manner. However, systematic reviews in this area remain lacking. This article elucidates the mechanisms by which the SIRT protease family regulates RF and reviews the latest research advances in TCM modulation of SIRTs for the prevention and treatment of RF, aiming to provide new insights and approaches for the TCM treatment of RF.
4.PKM1 Regulates the Expression of Autophagy and Neuroendocrine Markers in Small Cell Lung Cancer
TANG CHENCHEN ; JIN YULONG ; ZHAO PEIYAN ; TIAN LIN ; LI HUI ; YANG CHANGLIANG ; ZHONG RUI ; LIU JINGJING ; MA LIXIA ; CHENG YING
Chinese Journal of Lung Cancer 2024;27(9):645-653
Background and objective Small cell lung cancer(SCLC)is known as recalcitrant cancer with high malignancy and heterogeneity.Immunotherapy has changed the treatment pattern of extensive-disease SCLC(ED-SCLC),but the beneficiary population is limited.Therefore,exploring new therapeutic strategies is an urgent clinical problem to be solved for SCLC.SCLC is characterized by highly active glycolytic metabolism and pyruvate kinase Ml(PKM1)is one of the isozymes of PK,an important rate-limiting enzyme in glycolysis pathway.Previous studies have shown that PKM1 is related to autophagy and drug sensitivity,however,how PKM1 regulates drug sensitivity in SCLC and its mechanism remain unclear.The aim of this study was to investigate the biological functions of PKM1 in SCLC,including its effects on proliferation,migra-tion,autophagy,drug sensitivity,and expression of neuroendocrine(NE)-related markers in SCLC.Methods Western blot was used to detect the expression level of PKM1 in SCLC cells.PKM1 gene-overexpressed SCLC cell lines were constructed by stable lentivirus transfection.Proliferation of cells and drug sensitivity were detected by MTT,and migration ability of cells was determined by Transwell.The level of autophagy was detected by flow cytometry.Western blot was used to determine the expression levels of NE-related proteins.Results PKM1 was differentially expressed among various SCLC cell lines,and was lower in H1092 cells(P<0.01).Compared with the control group,there was no significant difference in proliferation level of PKM1 overexpressing H1092 cell,but the migration ability was significantly increased(P<0.001),the drug sensitivity was re-duced,and the level of autophagy was inhibited(P<0.001).Additionally,overexpression of PKM1 could upregulate the expres-sion of non-neuroendocrine(non-NE)-related proteins(P<0.01)and decrease the expression of NE-related proteins(P<0.01).Conclusion PKM1 was differentially expressed in SCLC cell lines,and high expression of PKM1 did not affect the prolifera-tion,but affected the migration of SCLC cells.PKM1 might affect drug sensitivity by inhibiting autophagy and regulating the expression of NE markers.These results provide a theoretical basis for exploring the role of PKM1 in SCLC.
5.Application of serum tumor specific protein 70 for prognostic stratification in acute myeloid leukemia
Yiling HUANG ; Fei JIN ; Lixia ZHANG ; Yuan MU ; Fengyun LU ; Wenying XIA ; Qiong ZHU ; Shuxian YANG ; Jian XU ; Shiyang PAN
Chinese Journal of Preventive Medicine 2024;58(10):1541-1547
Objective:To assess the value of serum tumor specific protein 70 (SP70) for prognostic stratification in acute myeloid leukemia (AML).Methods:A cohort study design was adopted. 129 newly diagnosed AML patients from September 2022 to January 2024 at the Hematology Department of the First Affiliated Hospital of Nanjing Medical University were included, as well as a control group consisted of 120 healthy individuals and 7 cases with benign hematologic diseases during the same period (total 127 cases). Clinical data were collected from Electronic Medical Records. According to the 2023 edition of the Chinese Leukemia Diagnosis and Treatment Guidelines, AML patients with good or moderate prognosis were categorized as low-to-intermediate risk, while those with poor prognosis were high-risk group. Univariate and multivariate logistic regression analyses were used to identify variables significantly associated with AML prognostic risk. ROC analysis was used to evaluate diagnostic performance. A nomogram for predicting patient prognostic risk was constructed by R 4.0.2 software, and the internal validation was performed using bootstrapping.Results:Among 129 AML patients, there were 71 males (55.0%) and 58 females (45.0%), with 42 (32.6%) classified as high-risk and 87 (67.4%) as low-intermediate risk. The high-risk group had a significantly higher median age [62 (48, 67) years] compared to the low-intermediate risk group [50 (35, 63) years, Z=-2.381, P=0.017], and a significantly higher proportion of males (30 patients, 71.4%) compared to the low-intermediate risk group (41 patients, 47.1%, χ 2=6.760, P=0.009). Multivariate logistic regression analysis indicated that serum SP70 ( OR=2.54, 95% CI: 1.68-3.84, P<0.001), hemoglobin (HB) ( OR=0.96, 95% CI: 0.93-0.99, P<0.05), and bone marrow blast (BM blast) ( OR=1.07, 95% CI: 1.02-1.13, P<0.05) were independent risk factors for high-risk prognosis in AML patients. ROC analysis showed that the area under the curve (AUC) for SP70 predicting high-risk patients was 0.908 (cut-off value of 5.74 ng/ml, 95% CI: 0.845-0.952, sensitivity 90.5%, specificity 82.8%). The combined model of serum SP70, HB, and BM blasts had an AUC of 0.931 (95% CI: 0.890-0.973); C-index=0.925 (95% CI: 0.876-0.963),with no statistically significant difference compared to serum SP70 alone ( Z=1.693, P>0.05). Conclusion:Serum SP70 may be a promising non-invasive molecular biomarker for prognostic stratification in AML.
6.Application of serum tumor specific protein 70 for prognostic stratification in acute myeloid leukemia
Yiling HUANG ; Fei JIN ; Lixia ZHANG ; Yuan MU ; Fengyun LU ; Wenying XIA ; Qiong ZHU ; Shuxian YANG ; Jian XU ; Shiyang PAN
Chinese Journal of Preventive Medicine 2024;58(10):1541-1547
Objective:To assess the value of serum tumor specific protein 70 (SP70) for prognostic stratification in acute myeloid leukemia (AML).Methods:A cohort study design was adopted. 129 newly diagnosed AML patients from September 2022 to January 2024 at the Hematology Department of the First Affiliated Hospital of Nanjing Medical University were included, as well as a control group consisted of 120 healthy individuals and 7 cases with benign hematologic diseases during the same period (total 127 cases). Clinical data were collected from Electronic Medical Records. According to the 2023 edition of the Chinese Leukemia Diagnosis and Treatment Guidelines, AML patients with good or moderate prognosis were categorized as low-to-intermediate risk, while those with poor prognosis were high-risk group. Univariate and multivariate logistic regression analyses were used to identify variables significantly associated with AML prognostic risk. ROC analysis was used to evaluate diagnostic performance. A nomogram for predicting patient prognostic risk was constructed by R 4.0.2 software, and the internal validation was performed using bootstrapping.Results:Among 129 AML patients, there were 71 males (55.0%) and 58 females (45.0%), with 42 (32.6%) classified as high-risk and 87 (67.4%) as low-intermediate risk. The high-risk group had a significantly higher median age [62 (48, 67) years] compared to the low-intermediate risk group [50 (35, 63) years, Z=-2.381, P=0.017], and a significantly higher proportion of males (30 patients, 71.4%) compared to the low-intermediate risk group (41 patients, 47.1%, χ 2=6.760, P=0.009). Multivariate logistic regression analysis indicated that serum SP70 ( OR=2.54, 95% CI: 1.68-3.84, P<0.001), hemoglobin (HB) ( OR=0.96, 95% CI: 0.93-0.99, P<0.05), and bone marrow blast (BM blast) ( OR=1.07, 95% CI: 1.02-1.13, P<0.05) were independent risk factors for high-risk prognosis in AML patients. ROC analysis showed that the area under the curve (AUC) for SP70 predicting high-risk patients was 0.908 (cut-off value of 5.74 ng/ml, 95% CI: 0.845-0.952, sensitivity 90.5%, specificity 82.8%). The combined model of serum SP70, HB, and BM blasts had an AUC of 0.931 (95% CI: 0.890-0.973); C-index=0.925 (95% CI: 0.876-0.963),with no statistically significant difference compared to serum SP70 alone ( Z=1.693, P>0.05). Conclusion:Serum SP70 may be a promising non-invasive molecular biomarker for prognostic stratification in AML.
7.The relationship and predictive analysis between Hcy and psychological symptoms in elderly PD patients with mental disorders
Ping JIN ; Lixia ZHANG ; Hui WANG
China Modern Doctor 2024;62(18):83-86
Objective To investigate the relationship between serum homocysteine(Hcy)and mental symptoms in elderly patients with Parkinson disease(PD)and its predictive value.Methods A total of 112 elderly patients with PD mental disorder(PD group)who were treated and treated in Taizhou Second People's Hospital from June 2020 to June 2023 were selected as the study objects,and 55 elderly PD patients without mental disorder(without mental disorder PD group)and 56 healthy physical examination subjects(control group)were selected as the study objects.The serum Hcy changes of the three groups were compared.Results The scores of Hcy,Hamilton anxiety rating scale(HAMA)and Hamilton depression rating scale(HAMD)in PD group were higher than those in without mental disorders PD group and control group,while the scores of mini mental state examinationscale(MMSE)and Montreal cognitive assessment scale(MoCA)were lower than those in without mental disorders PD group and control group(P<0.05).Kendall's tau-b correlation analysis showed that serum Hcy was positively correlated with Hoehn-Yahr grade,MMSE grade,MoCA grade,HAMA grade and HAMD grade(P<0.05).Receiver operating characteristic curve analysis showed that the area under the curve values of Hcy in predicting major cognitive dysfunction,anxiety and depression in elderly PD patients with mental disorders were 0.848,0.864 and 0.846.Conclusion Serum Hcy showed an abnormal increase trend in elderly patients with PD mental disorder,and its level would increase with the deterioration of patients'mental symptoms.
8.National bloodstream infection bacterial resistance surveillance report(2022): Gram-positive bacteria
Chaoqun YING ; Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(2):99-112
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units,and the top five bacteria were Staphylococcus aureus( n=1 147,36.3%),coagulase-negative Staphylococci( n=928,29.3%), Enterococcus faecalis( n=369,11.7%), Enterococcus faecium( n=296,9.4%)and alpha-hemolyticus Streptococci( n=192,6.1%). The detection rates of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)were 26.4%(303/1 147)and 66.7%(619/928),respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome,rifampin,compound sulfamethoxazole,linezolid,minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%(2/369),and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions( χ2=14.578, P=0.002),while the detection rate of MRCNS in northern China was significantly higher than that in other regions( χ2=15.195, P=0.002). The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals( χ2=13.519 and 12.136, P<0.001). The detection rates of MRSA and MRCNS in economically more advanced regions(per capita GDP≥92 059 Yuan in 2022)were higher than those in economically less advanced regions(per capita GDP<92 059 Yuan)( χ2=9.969 and 7.606, P=0.002和0.006). Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China, Staphylococci is the most common while the MRSA incidence decreases continuously with time;the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China,with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.
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.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.

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