1.Mechanisms of Renshentang in Treating AS via Regulation of Endothelial Cell Inflammation Based on TRPV1
Ce CHU ; Yulu YUAN ; Zhen YANG ; Xuguang TAO ; Xiangyun CHEN ; Zhanzhan HE ; Yuxin ZHANG ; Yongqi XU ; Wanping CHEN ; Peizhang ZHAO ; Wenlai WANG ; Hongxia ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):46-53
ObjectiveTo investigate the mechanisms by which Renshentang treats atherosclerosis (AS) in mice, focusing on the regulation of endothelial inflammatory responses mediated by transient receptor potential vanilloid subtype 1 (TRPV1). MethodsAn AS model was established in apolipoprotein E knockout (ApoE-/-) mice fed a high-fat diet. The mice were randomly divided into a simvastatin group (0.02 g·kg-1·d-1) and low-, medium-, and high-dose Renshentang groups (1.77, 3.54, 7.08 g·kg-1·d-1), with 12 mice in each group. ApoE-/- mice were fed a high-fat diet and treated simultaneously. C57BL/6J mice fed a normal diet served as the normal group (n=9). After continuous administration for 12 weeks, mice were anesthetized and the aortas were collected. Oil Red O staining was used to observe lipid plaque formation in the aorta. Hematoxylin-eosin (HE) staining was performed to examine pathological changes in the aortic root. Immunohistochemistry was used to analyze the levels of pro-inflammatory factors tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β), as well as the expression of TRPV1, phosphorylated phosphoinositide 3-kinase (p-PI3K), and phosphorylated protein kinase B (p-Akt) in the aortic root. Real-time quantitative polymerase chain reaction (Real-time PCR) was used to detect endothelial nitric oxide synthase (eNOS) mRNA expression in the aorta, and Western blot was used to detect TRPV1 protein expression. ResultsCompared with the normal group, the model group showed a significant increase in aortic plaque formation (P<0.01) and significantly elevated levels of TNF-α and IL-1β in the aortic root (P<0.01). The expression levels of TRPV1, p-PI3K, and p-Akt were decreased (P<0.05, P<0.01), and eNOS mRNA expression was reduced (P<0.05, P<0.01). Compared with the model group, all Renshentang groups significantly reduced aortic plaque formation (P<0.01), significantly decreased TNF-α and IL-1β levels (P<0.01), and markedly increased the expression levels of TRPV1, p-PI3K, p-Akt, and eNOS mRNA (P<0.05, P<0.01). ConclusionRenshentang may inhibit endothelial inflammation and suppress the formation of AS by increasing TRPV1 protein expression and up-regulating the PI3K/Akt/eNOS signaling pathway, which may be one of the molecular mechanisms underlying its therapeutic effect against AS.
2.WANG Qingguo's Experience in Treatment of Headache Based on the Concept of "Achieving Harmony by Unblocking and Balancing"
Chuxin ZHANG ; Zilin REN ; Yang ZHAO ; Jinhua HAN ; Bomin ZHANG ; Fafeng CHENG ; Changxiang LI ; Xueqian WANG ;
Journal of Traditional Chinese Medicine 2026;67(9):935-940
This paper summarizes professor WANG Qingguo's experience in treatment of headache based on the "achieving harmony by unblocking and balancing" concept. It is considered that although the pathogenesis of headache is generally attributed to "pain arises from obstruction" and "pain arises from malnourishment", clinical presentations often involve a complex mixture of deficiency and excess, as well as cold and heat patterns. Professor WANG proposes the diagnostic and therapeutic theory of "achieving harmony by unblocking and balancing", advocating for equal emphasis on "freeing the flow of qi and blood" and "regulating the balance of yin and yang". He has summarized eight treatment methods for common headache patterns. For wind-cold attacking the collaterals, treatment should focus on dispersing and unblocking through modified Gegen Decoction (葛根汤). For wind-dampness binding, it is recommended to unblock and drain, using modified Qingshang Juantong Decoction (清上蠲痛汤). For damp-heat congestion, unblocking and clearing is the method, using modified Toufeng Shen Formula (头风神方). For liver-gallbladder qi constraint, unblocking and soothing is the treatment principle, and modified Sanpian Decoction (散偏汤) is suggested. For insufficiency of center qi, even supplementation method is recommended, and modified Yiqi Congming Decoction (益气聪明汤) can be used. For liver yang hyperactivity, unblocking and subduing are combined, using modified Xunlong Decoction (驯龙汤). For deficiency-cold in the liver and stomach, warming, harmonizing, unblocking, and descending are applied, using modified Wuzhuyu Decoction (吴茱萸汤). For blood deficiency with cold congelation, unblocking and nourishing are undertaken together, using modified Danggui Sini Decoction (当归四逆汤). The ultimate goal is to restore the dynamic balance of yin, yang, qi, and blood in the body, thereby allevia-ting pain by restoring clarity and function to the head orifices.
3.WANG Qingguo's Experience in Treatment of Headache Based on the Concept of "Achieving Harmony by Unblocking and Balancing"
Chuxin ZHANG ; Zilin REN ; Yang ZHAO ; Jinhua HAN ; Bomin ZHANG ; Fafeng CHENG ; Changxiang LI ; Xueqian WANG ;
Journal of Traditional Chinese Medicine 2026;67(9):935-940
This paper summarizes professor WANG Qingguo's experience in treatment of headache based on the "achieving harmony by unblocking and balancing" concept. It is considered that although the pathogenesis of headache is generally attributed to "pain arises from obstruction" and "pain arises from malnourishment", clinical presentations often involve a complex mixture of deficiency and excess, as well as cold and heat patterns. Professor WANG proposes the diagnostic and therapeutic theory of "achieving harmony by unblocking and balancing", advocating for equal emphasis on "freeing the flow of qi and blood" and "regulating the balance of yin and yang". He has summarized eight treatment methods for common headache patterns. For wind-cold attacking the collaterals, treatment should focus on dispersing and unblocking through modified Gegen Decoction (葛根汤). For wind-dampness binding, it is recommended to unblock and drain, using modified Qingshang Juantong Decoction (清上蠲痛汤). For damp-heat congestion, unblocking and clearing is the method, using modified Toufeng Shen Formula (头风神方). For liver-gallbladder qi constraint, unblocking and soothing is the treatment principle, and modified Sanpian Decoction (散偏汤) is suggested. For insufficiency of center qi, even supplementation method is recommended, and modified Yiqi Congming Decoction (益气聪明汤) can be used. For liver yang hyperactivity, unblocking and subduing are combined, using modified Xunlong Decoction (驯龙汤). For deficiency-cold in the liver and stomach, warming, harmonizing, unblocking, and descending are applied, using modified Wuzhuyu Decoction (吴茱萸汤). For blood deficiency with cold congelation, unblocking and nourishing are undertaken together, using modified Danggui Sini Decoction (当归四逆汤). The ultimate goal is to restore the dynamic balance of yin, yang, qi, and blood in the body, thereby allevia-ting pain by restoring clarity and function to the head orifices.
4.Chinese experts' consensus on principles of preoperative hair removal
Yiping MAO ; Jun ZHENG ; Lei LI ; Deyan YANG ; Bing ZHANG ; Lei YANG ; Wang JIA ; Peng KANG ; Hui JIAO ; Yun YANG ; Qi QI ; Shiqing FENG ; Xiao LONG ; Yuewei ZHANG ; Xiaohui WANG ; Lize WANG ; Yuan WEI ; Jichao ZHOU ; Minghui MAO ; Pengju XIN ; Hongyu TAN ; Dahong ZHANG ; Lianxin LIU ; Lei TAO ; Xietong WANG ; Xiaoning YUAN ; Mang CAI ; Li MU ; Fang DU ; Rongzhu CHEN ; Fengmao ZHAO ; Jiuzuo HUANG ; Mingzi ZHANG ; Jie ZHANG ; Baoguo WANG ; Kun WANG ; Fang LUO ; Jinhua ZHANG ; Nong HE ; Ling LYU ; Zhiyong ZONG
Chinese Journal of Nosocomiology 2025;35(10):1441-1449
To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.
5.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
6.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
7.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
8.Epidemiological characteristics and prediction model of bacillary dysentery in Qinghai Province,2014-2023
Yuqi JIANG ; Jinhua ZHAO ; Jiang LONG ; Yang ZHANG ; Ping DENG ; Sheng-lin QIN ; Huayi ZHANG
Chinese Journal of Infection Control 2025;24(10):1389-1394
Objective To compare five time series models and predict the monthly incidence of bacillary dysentery in Qinghai Province in 2024,and provide reference for the prevention and control.Methods The epidemic charac-teristics of bacterial dysentery in Qinghai Province from 2014 to 2023 were analyzed.R4.3.1 software was used for establishing seasonal autoregressive integrated moving average(SARIMA)model,Holt-Winters triple exponential smoothing(Holt Winters)model,exponential smoothing(ETS)model,neural network autoregression(NNAR)model,and trigonometric seasonality,Box-Cox transformation,ARMA errors,trend and seasonal components(TBATS)model.Fitting effect of the models was analyzed and accuracy was compared.Results From 2014 to 2023,a total of 5 833 cases of bacterial dysentery were reported in Qinghai Province,without deaths,male to fe-male ratio being 1.23∶1.The highest incidence was reported in 2016(15.45 per 100 000 people),and the lowest in-cidence was reported in 2023(3.68 per 100 000 people).Incidence increased from 2014 to 2016,then decreased,showing an obvious overall downward trend.Case number in<5 years age group was the highest,accounting for 29.76%of the total cases(n=1 736).Regarding population distribution,the top three were children in childcare institutions and scattered children(35.56%),farmers(24.65%),and students(12.62%).Except the additive Holt-Winters model,the predicted trends of the other four models were consistent with actuality.The ETS model had the best fitting effect,with a relatively balanced overall performance(training set:MAE=0.13,RMSE=0.21,MAPE=19.55%;testing set:MAE=0.11,RMSE=0.16,MAPE=28.66%).It is recommended to pre-dict the incidence of bacillary dysentery in Qinghai Province based on ETS model.Conclusion From 2014 to 2023,bacterial dysentery in Qinghai Province showed a downward trend,with the peak of the epidemic from June to Au-gust.Preschool and scattered children were high-risk groups.Among the five prediction models,ETS model has the best fitting effect,and can be used to predict the incidence of bacillary dysentery.
9.Gut microbiota characteristics in patients with nonalcoholic fatty liver disease
Kaishunzi LIU ; Min FANG ; Jinhua DUAN ; Chun'e LI ; Feng ZHU ; Zhe ZHAO
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(3):448-454
Objective To analyze the changes of intestinal microbiota in patients with nonalcoholic fatty liver disease(NAFLD)and healthy controls so as to explore the relationship between intestinal microbiota and NAFLD.Methods A total of 353 samples from the National Center for Biotechnology Information were included,including 110 healthy controls and 243 NAFLD patients(127 NASH and 116 NAFLD).Macrogenome sequencing data were extracted to obtain data on intergroup flora diversity changes and analyze the potential correlation between alterations in gut microbes and NAFLD.Results Alpha diversity analysis showed no significant differences in Invsimpson index(P=0.57)or Simpson index(P=0.57)between NAFLD patients and healthy controls,while there was a trend of decreasing Shannon index(P=0.084),but with no significant difference.β-diversity analysis showed significant differences between the two groups(P=0.002).Species composition analysis showed that at the genus level,NAFLD patients and healthy controls had the same species types,with Bacteroidetes and Firmicutes being the dominant phyla in both groups.However,compared to Control group,NAFLD group had significantly lower Firmicutes,Synergistetes,and Candidatus_Melainabacteria.At the species level,there were significant differences between NAFLD group and Control group for 10 bacterial species,including Bacteroides_uniformis and Faecalbacterium_prausnitzil.Intergroup difference analysis showed that Phocaeicola dorei,Parabacteroides_distasonis,Bilophila_wadsworthia,and Dysosmobacter_welbionis were significantly enriched in NAFLD patients(LDA score>2.0,P<0.05),while Prevotella_stercorea,Faecalibacterium prausnitzii,and others were negatively associated with NAFLD.A disease detection model was constructed based on metagenomic data,and 26 intestinal microorganisms related to NAFLD were selected,including Pyramidobacter piscolens and Citrobacter freundii,etc.The diagnostic accuracy of NAFLD was judged by ROC curve discriminant model,and the AUC of the ROC curve was 0.743 8,indicating that the model has a certain accuracy in diagnosing NAFLD.Conclusion This study revealed differences in gut microbial diversity between NAFLD patients and healthy controls and identified key bacterial groups associated with NAFLD.In addition,the disease detection model constructed based on metagenomic data provides a new method and idea for the diagnosis of NAFLD,which is conducive to further study of the disease and the early diagnosis and treatment of clinical patients.
10.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

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