1.Chemical consitituents and hypoglycemic activity of Qinhuai No. 1 Rehmannia glutinosa
Meng YANG ; Zhi-you HAO ; Xiao-lan WANG ; Chao-yuan XIAO ; Jun-yang ZHANG ; Shi-qi ZHOU ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2025;60(1):205-210
Eight compounds were isolated and purified from the ethyl acetate part of 70% acetone extract of
2.Comparison of patient trust patterns between tertiary hospitals and primary healthcare institutions:A mixed research based on interviews and survey experiment
Xi-Yang TONG ; Hong-Yu LI ; Jun SU ; Jin-Xin ZHANG ; Shi-Chao ZHAO ; Xiao-Jie SUN
Chinese Journal of Health Policy 2024;17(4):38-44
Objective:This study utilizes a hybrid research design,integrating interviews with experimental surveys,to investigate the variances in patient trust models between tertiary hospitals and primary healthcare institutions.Methods:Thirty-eight residents participated in semi-structured interviews,which were then analyzed using content analysis.The experimental survey segment divided participants into two groups:"Tertiary Hospitals"and"Primary Healthcare Institutions,"resulting in 648 valid questionnaires.These questionnaires were subjected to variance analysis to assess differences.Results:Patients exhibit greater systemic trust in tertiary hospitals than in primary healthcare facilities,while interpersonal trust is stronger in primary healthcare settings.Suggestions:Therefore,strategies should be developed to bolster systemic trust at the primary level and emphasize the advantages of interpersonal trust.Moreover,specific measures are required to reshape patients'interpersonal trust in tertiary hospitals.
3.Action mechanisms of Qianlie Jindan Tablets on chronic nonbcterial prostatitis in rats:An exploration based on non-targeted urine metabolomics
Teng-Fei CHEN ; Zhi-Chao JIA ; Zhuo-Zhuo SHI ; Jun-Guo MA ; Xiao-Lin LI ; Chong-Fu ZHONG
National Journal of Andrology 2024;30(6):531-539
Objective:To explore the mechanisms of Qianlie Jindan Tablets(QLJD)acting on chronic nonbacterial prostatitis(CNP)in rats based on non-targeted urine metabolomics.Methods:According to the body mass index,we equally randomized 30 eight-week-old male SD rats into a blank control,a CNP model control and a QLJD medication group.We established the CNP model in the latter groups and,from the 4th day of modeling,treated the rats in the blank and model control groups intragastrically with nor-mal saline and those in the QLJD medication group with QLJD suspension,qd,for 30 successive days.Then we detected the changes in the metabolites of the rats by ultra-high-performance liquid chromatography-tandem mass spectrometry,and identified the differential metabolites in different groups by multivariate statistical analysis,followed by functional annotation of the differential metabolites.Results:Eight common metabolites were identified by metabolomics analysis,of which 5 were decreased in the CNP model controls and increased in the QLJD medication group,while the other 3 increased in the former and decreased in the latter group.Creatinine and genistein were important differential metabolites,and the arginine and proline metabolic pathways and isoflavone biosynthesis pathways were the main ones for QLJD acting on CNP.Compared with the blank controls,the model controls showed up-regulated arginine and proline metabolic pathways,increased production of creatinine,down-regulated isoflavone biosynthetic pathway and decreased produc-tion of genistein.The above changes in the model controls were all reversed in the QLJD medication group.Conclusion:QLJD acts effectively on CNP in male rats by regulating L-arginine and proline metabolic pathways,as well as the isoflavone biosynthesis pathway and naringenin metabolism.
4.Antimicrobial resistance of bacteria from blood specimens:surveillance re-port from Hunan Province Antimicrobial Resistance Surveillance System,2012-2021
Hong-Xia YUAN ; Jing JIANG ; Li-Hua CHEN ; Chen-Chao FU ; Chen LI ; Yan-Ming LI ; Xing-Wang NING ; Jun LIU ; Guo-Min SHI ; Man-Juan TANG ; Jing-Min WU ; Huai-De YANG ; Ming ZHENG ; Jie-Ying ZHOU ; Nan REN ; An-Hua WU ; Xun HUANG
Chinese Journal of Infection Control 2024;23(8):921-931
Objective To understand the change in distribution and antimicrobial resistance of bacteria isolated from blood specimens of Hunan Province,and provide for the initial diagnosis and treatment of clinical bloodstream infection(BSI).Methods Data reported from member units of Hunan Province Antimicrobial Resistance Survei-llance System from 2012 to 2021 were collected.Bacterial antimicrobial resistance surveillance method was imple-mented according to the technical scheme of China Antimicrobial Resistance Surveillance System(CARSS).Bacteria from blood specimens and bacterial antimicrobial susceptibility testing results were analyzed by WHONET 5.6 soft-ware and SPSS 27.0 software.Results A total of 207 054 bacterial strains were isolated from blood specimens from member units in Hunan Province Antimicrobial Resistance Surveillance System from 2012 to 2021,including 107 135(51.7%)Gram-positive bacteria and 99 919(48.3%)Gram-negative bacteria.There was no change in the top 6 pathogenic bacteria from 2012 to 2021,with Escherichia coli(n=51 537,24.9%)ranking first,followed by Staphylococcus epidermidis(n=29 115,14.1%),Staphylococcus aureus(n=17 402,8.4%),Klebsiella pneu-moniae(17 325,8.4%),Pseudomonas aeruginosa(n=4 010,1.9%)and Acinetobacter baumannii(n=3 598,1.7%).The detection rate of methicillin-resistant Staphylococcus aureus(MRSA)decreased from 30.3%in 2015 to 20.7%in 2021,while the detection rate of methicillin-resistant coagulase-negative Staphylococcus(MRCNS)showed an upward trend year by year(57.9%-66.8%).No Staphylococcus was found to be resistant to vancomy-cin,linezolid,and teicoplanin.Among Gram-negative bacteria,constituent ratios of Escherichia coli and Klebsiella pneumoniae were 43.9%-53.9%and 14.2%-19.5%,respectively,both showing an upward trend(both P<0.001).Constituent ratios of Pseudomonas aeruginosa and Acinetobacter baumannii were 3.6%-5.1%and 3.0%-4.5%,respectively,both showing a downward trend year by year(both P<0.001).From 2012 to 2021,resistance rates of Escherichia coli to imipenem and ertapenem were 1.0%-2.0%and 0.6%-1.1%,respectively;presenting a downward trend(P<0.001).The resistant rates of Klebsiella pneumoniae to meropenem and ertapenem were 7.4%-13.7%and 4.8%-6.4%,respectively,presenting a downward trend(both P<0.001).The resistance rates of Pseudomonas aeruginosa and Acinetobacter baumannii to carbapenem antibiotics were 7.1%-15.6%and 34.7%-45.7%,respectively.The trend of resistance to carbapenem antibiotics was relatively stable,but has de-creased compared with 2012-2016.The resistance rates of Escherichia coli to the third-generation cephalosporins from 2012 to 2021 were 41.0%-65.4%,showing a downward trend year by year.Conclusion The constituent ra-tio of Gram-negative bacillus from blood specimens in Hunan Province has been increasing year by year,while the detection rate of carbapenem-resistant Gram-negative bacillus remained relatively stable in the past 5 years,and the detection rate of coagulase-negative Staphylococcus has shown a downward trend.
5.Antimicrobial resistance of bacteria from cerebrospinal fluid specimens:surveillance report from Hunan Province Antimicrobial Resistance Survei-llance System,2012-2021
Jun LIU ; Li-Hua CHEN ; Chen-Chao FU ; Chen LI ; Yan-Ming LI ; Xing-Wang NING ; Guo-Min SHI ; Jing-Min WU ; Huai-De YANG ; Hong-Xia YUAN ; Ming ZHENG ; Nan REN ; An-Hua WU ; Xun HUANG ; Man-Juan TANG
Chinese Journal of Infection Control 2024;23(8):932-941
Objective To investigate changes in the distribution and antimicrobial resistance of bacteria isolated from cerebrospinal fluid(CSF)specimens in Hunan Province,and provide reference for correct clinical diagnosis and rational antimicrobial use.Methods Data reported by member units of Hunan Province Antimicrobial Resistance Surveillance System from 2012 to 2021 were collected according to China Antimicrobial Resistance Surveillance Sys-tem(CARSS)technical scheme.Data of bacteria isolated from CSF specimens and antimicrobial susceptibility tes-ting results were analyzed with WHONET 5.6 and SPSS 20.0 software.Results A total of 11 837 bacterial strains were isolated from CSF specimens from member units of Hunan Province Antimicrobial Resistance Surveillance Sys-tem from 2012 to 2021.The top 5 strains were coagulase-negative Staphylococcus(n=6 397,54.0%),Acineto-bacter baumannii(n=764,6.5%),Staphylococcus aureus(n=606,5.1%),Enterococcus faecium(n=465,3.9%),and Escherichia coli(n=447,3.8%).The detection rates of methicillin-resistant coagulase-negative Staphyloco-ccus(MRCNS)and methicillin-resistant Staphylococcus aureus(MRSA)were 58.9%-66.3%and 34.4%-62.1%,respectively.No Staphylococcus spp.were found to be resistant to vancomycin,linezolid,and teicoplanin.The de-tection rate of Enterococcus faecium was higher than that of Enterococcus faecalis,and the resistance rates of En-terococcus f aecium to penicillin,ampicillin,high concentration streptomycin and levofloxacin were all higher than those of Enterococcus faecalis(all P=0.001).Resistance rate of Streptococcus pneumoniae to penicillin was 85.0%,at a high level.Resistance rate of Escherichia coli to ceftriaxone was>60%,while resistance rates to enzyme inhibitors and carbapenem antibiotics were low.Resistance rate of Klebsiella pneumoniae to ceftriaxone was>60%,to en-zyme inhibitors piperacillin/tazobactam and cefoperazone/sulbactam was>30%,to carbapenem imipenem and me-ropenem was about 30%.Resistance rates of Acinetobacter baumannii to most tested antimicrobial agents were>60%,to imipenem and meropenem were 59.0%-79.4%,to polymyxin B was low.Conclusion Among the bac-teria isolated from CSF specimens,coagulase-negative Staphylococcus accounts for the largest proportion,and the overall resistance of pathogenic bacteria is relatively serious.Bacterial antimicrobial resistance surveillance is very important for the effective treatment of central nerve system infection.
6.Antimicrobial resistance of bacteria from intensive care units:surveillance report from Hunan Province Antimicrobial Resistance Surveillance Sys-tem,2012-2021
Li-Hua CHEN ; Chen-Chao FU ; Chen LI ; Yan-Ming LI ; Jun LIU ; Xing-Wang NING ; Guo-Min SHI ; Jing-Min WU ; Huai-De YANG ; Hong-Xia YUAN ; Ming ZHENG ; Nan REN ; Xun HUANG ; An-Hua WU ; Jian-Dang ZHOU
Chinese Journal of Infection Control 2024;23(8):942-953
Objective To investigate the distribution and antimicrobial susceptibility of clinically isolated bacteria from intensive care units(ICUs)in hospitals of Hunan Province Antimicrobial Resistance Surveillance System from 2012 to 2021.Methods According to China Antimicrobial Resistance Surveillance System,data of clinically isolated bacterial strains and antimicrobial susceptibility testing results of bacteria from ICUs reported by all member units of Hunan Province Antimicrobial Resistance Surveillance System were analyzed with WHONET 2022 software.Results From 2012 to 2021,the total number of bacteria isolated from ICUs of member units of the Hunan Province Antimi-crobial Resistance Surveillance System was 5 777-22 369,with Gram-negative bacteria accounting for 76.1%-78.0%annually.Staphylococcus aureus ranked first among isolated Gram-positive bacteria each year.The top 5 bacteria among Gram-negative bacteria were Acinetobacter baumannii,Klebsiella pneumoniae,Escherichia coli,Pseudo-monas aeruginosa,and Stenotrophomonas maltophilia.Detection rate of methicillin-resistant Staphylococcus aureus showed a downward trend year by year.No Staphylococcus spp.were found to be resistant to vancomycin,teico-planin and linezolid.Detection rates of vancomycin-resistant Enterococcus faecalis and vancomycin-resistant Entero-coccus faecium were 0.6-1.1%and 0.6%-2.2%,respectively.Resistance rates of Escherichia coli and Kleb-siella pneumoniae to imipenem were 3.1%-5.7%and 7.7%-20.9%,respectively.Resistance rates of Pseudo-monasaeruginosa and Acinetobacter baumannii to imipenem were 24.6%-40.1%and 76.1%-80.9%,respective-ly.Detection rates of carbapenem-resistant Pseudomonas aeruginosa declined year by year.Acinetobacter baumannii maintained high susceptibility to polymyxin B,with resistance rate<10%.Conclusion Antimicrobial resistance of bacteria from ICUs is serious.Carbapenem-resistant Enterobacteriales has an upward trend after 2019.It is nece-ssary to strengthen the surveillance of bacterial resistance and carry out multidisciplinary collaboration.
7.Antimicrobial resistance of Enterococcus spp.:surveillance report from Hunan Province Antimicrobial Resistance Surveillance System,2012-2021
Chen-Chao FU ; Li-Hua CHEN ; Chen LI ; Yan-Ming LI ; Jun LIU ; Xing-Wang NING ; Guo-Min SHI ; Jing-Min WU ; Huai-De YANG ; Hong-Xia YUAN ; Ming ZHENG ; An-Hua WU ; Xun HUANG ; Nan REN
Chinese Journal of Infection Control 2024;23(8):954-962
Objective To understand the antimicrobial resistance of clinically isolated Enterococcus spp.in Hunan Province.Methods Surveillance data of Enterococcus spp.resistance from member units of Hunan Provincial Anti-microbial Resistance Surveillance System from 2012 to 2021 were collected.Data were cleaned according to a unified method,and WHONET 5.6 software was adopted for statistical analysis.Results From 2012 to 2021,a total of 110 652 non-repetitive Enterococcus spp.strains were included in the analysis,mainly Enterococcus faecalis and Enterococcus faecium,accounting for 46.9%(n=37 774)and 45.9%(n=36 968),respectively,followed by En-terococcus avium(2.5%,n=1 982),Enterococcus gallinarum(1.8%,n=1 428),and Enterococcus casseliflavus(1.5%,n=1 185).The main specimen sources of Enterococcus spp.was urine(51.8%,n=57 350),followed by secretions(9.6%,n=10 660)and bile(8.5%,n=9 377).From 2012 to 2021,the resistance rates of Enteroco-ccus faecalis to ampicillin,teicoplanin,and vancomycin were 5.5%-12.0%,1.3%-2.0%,and 0.6%-1.4%,respectively.The resistance rates of Enterococcus faecium to ampicillin,teicoplanin,and vancomycin were 69.2%-85.0%,1.5%-2.8%,and 0.7%-2.5%,respectively.Except for linezolid and minocycline,the resistance rates of Enterococcus faecium to tested antimicrobial agents were all higher than those of Enterococcus faecalis.The re-sistance rates of Enterococcus faecalis and Enterococcus faecium to vancomycin decreased from 1.4%and 2.1%in 2012 to 0.6%and 0.7%in 2021,respectively,presenting a decreased trend.Conclusion Clinically isolated En-terococcus spp.maintain high antimicrobial susceptibility to vancomycin and teicoplanin.Resistance rates of Entero-coccus faecalis and Enterococcus faecium to vancomycin present decreased trends.
8.Antimicrobial resistance of bacteria isolated from bile:surveillance report from Hunan Province Antimicrobial Resistance Surveillance System,2012-2021
Chen LI ; Li-Hua CHEN ; Yan-Ming LI ; Jun LIU ; Xing-Wang NING ; Guo-Min SHI ; Jing-Min WU ; Huai-De YANG ; Hong-Xia YUAN ; Ming ZHENG ; Chen-Chao FU ; Nan REN ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(8):963-974
Objective To analyze the distribution and changing trend of antimicrobial resistance of bacteria isolated from bile from Hunan Province Antimicrobial Resistance Surveillance System.Methods Data of pathogens isolated from bile from Hunan Province Antimicrobial Resistance Surveillance System from 2012 to 2021 were collected.The constituent of bacteria and antimicrobial susceptibility testing results were analyzed by WHONET 5.6 software.Changes in antimicrobial resistance was analyze by trend chi-square test.Results The major pathogenic bacteria isolated from bile were Gram-negative bacteria,accounting for 70.84%.The top three isolated Gram-negative pathogens were Escherichia coli(30.14%),Klebsiella pneumoniae(12.15%),and Pseudomonas aeruginosa(5.18%),and the top two Gram-positive bacteria were Enterococcus faecium(10.34%)and Enterococcus faecalis(9.52%).The resistance rates of Klebsiella pneumoniae and Escherichia coli to imipenem were highest in 2012-2013,being 15.7%and 14.9%,respectively,presenting an downward trend(P<0.05);resistance rates to piperacillin/tazobactam and cefoperazone/sulbactam were<24%,presenting an upward trend year by year(P<0.05);the sus-ceptibility rate to amikacin was>94%,to levofloxacin and ciprofloxacin was 15.5%-65.2%.The highest resis-tance rate of Pseudomonas aeruginosa to imipenem(32.0%)was higher than that of meropenem(22.9%),resis-tance rates to piperacillin/tazobactam and cefoperazone/sulbactam were<19%.The highest resistance rates of Acinetobacter baumannii to imipenem and meropenem were 59.4%and 62.6%,respectively,resistance rate to cefo-perazone/sulbactam was<48%,presenting an upward trend(P<0.05);the highest resistance rate to ciprofloxa-cin(60.8%)was higher than levofloxacin(48.7%);resistance rate to tigecycline was<8%.The resistance rates of Enterococcus faecium to penicillin and ampicillin were both higher than those of Enterococcus faecalis,presenting an upward trend(P<0.05).Resistance rate of Enterococcus faecium to vancomycin was lower than that of Entero-coccus faecalis.The resistance rates of Enterococcus faecium to vancomycin and linezolid were 0.5%-4.5%and 0.5%-3.4%,respectively;resistance rates of Enterococcus faecalis to vancomycin and linezolid were 0.2%-1.7%and 0.5%-3.5%,respectively(both P<0.05),all presenting a downward trend(all P<0.05).Conclusion Pathogenic bacteria isolated from bile are mainly related to the intestinal flora.The resistance rates of Enterococcus faecalis and Enterococcus faecium to vancomycin and linezolid as well as resistance rate of Enterobacterales to car-bapenem antibiotics all present a downward trend.
9.Antimicrobial resistance of Escherichia spp.:surveillance report from Hunan Province Antimicrobial Resistance Surveillance System,2012-2021
Fang-Wei LONG ; Li-Hua CHEN ; Chen-Chao FU ; Chen LI ; Yan-Ming LI ; Xing-Wang NING ; Jun LIU ; Guo-Min SHI ; Jing-Min WU ; Hong-Xia YUAN ; Ming ZHENG ; An-Hua WU ; Xun HUANG ; Huai-De YANG ; Nan REN
Chinese Journal of Infection Control 2024;23(8):975-983
Objective To understand the antimicrobial resistance of Escherichia spp.from member units of Hu-nan Province Antimicrobial Resistance Surveillance System from 2012 to 2021.Methods According to the technical scheme of China Antimicrobial Resistance Surveillance System(CARSS),data about Escherichia spp.and the anti-microbial susceptibility testing results reported from member units of Hunan Province Antimicrobial Resistance Sur-veillance System were analyzed by WHONET 5.6 software.Results From 2012 to 2021,a total of 476 351 clini-cally isolated Escherichia spp.were collected,475 520 of which were Escherichia coli,accounting for 99.8%;92.6%were isolated from inpatients;39.3%were isolated from urine specimens.Over the past 10 years,the proportion of Escherichia spp.in total detected pathogens remained relatively stable,ranging 20%-23%,the lowest rate was 18.7%in 2012,and the highest rate was 22.9%in 2015.In the past 10 years,the resistance rates of Escherichia spp.to ampicillin,ceftriaxone,cefotaxime and ampicillin/sulbactam were>80%,>47%,>45%,and>39%,respectively;resistance rates to piperacillin/tazobactam,cefoperazone/sulbactam,and nitrofurantoin were all<8%,to tigecycline,amikacin,imipenem,and meropenem(except in 2012)were all<5%.Resistance of Escherichia spp.to 22 commonly clinically used antimicrobial agents fluctuated,but overall trend decreased year by year.The resistance rates of Escherichia spp.from patients in the intensive care unit(ICU),non-ICU patients,outpatients,and emergency patients to 22 clinically commonly used antimicrobial agents were compared among different depart-ments,and the differences were statistically significant(all P<0.05).The resistance rates of Escherichia spp.iso-lated from ICU and non-ICU patients were compared,and except for tigecycline,the resistance rates to the other 21 antimicrobial agents were statistically different(all P<0.05).The resistance rates of Escherichia spp.isolated from patients to commonly clinically used antimicrobial agents were statistically different among patients of different age groups(all P<0.05).Conclusion Escherichia spp.isolated from patients in different years,departments,specimens,and ages have different resistance to commonly used antimicrobial agents.It is necessary to continue to strengthen the surveillance on bacterial resistance,so as to guide the rational choice of antimicrobial agents.
10.Mechanism of Butylphthalide in Treating Delayed Encephalopathy After Carbon Monoxide Poisoning Based on Activation of Microglia
Yu SHI ; Baojun WANG ; Chao CHEN ; Jiangxia PANG ; Yang LI ; Jun ZHANG ; Maomao XU
Acta Academiae Medicinae Sinicae 2024;46(5):659-665
Objective To explore the mechanism of butylphthalide(NBP)in regulating microglia acti-vation and inflammatory cytokine expression in the hippocampus of the mouse model of delayed encephalopathy af-ter carbon monoxide poisoning(DEACMP).Methods Wild-type C57 adult mice with normal cognitive function were selected,and DEACMP was modeled by static inhalation of carbon monoxide.The mice were randomized in-to three groups:DEACMP,control,and NBP.The NBP group was administrated with NBP suspension at 6 mg/kg by gavage for 21 days,and the DEACMP and control groups were administrated with the same amount of vegeta-ble oil by gavage.The hippocampal injury was observed by HE staining.The protein level of ionized calcium-bind-ing adapter molecule 1(IBA1)was determined by Western blotting,and the levels of downstream inflammatory cytokines were measured by ELISA.Results Compared with the control group,the DEACMP and NBP groups showed prolonged escape latency(P=0.001,P=0.029),reduced nerve cells(P=0.001,P=0.035),up-regulated expression of IBA1(P=0.001,P=0.042),increased mean fluorescence intensity of IBA1(P=0.001,P=0.021),and elevated levels of tumor necrosis factor-α(TNF-α)(P=0.002,P=0.024),inter-leukin(IL)-6(P=0.001,P=0.015),and IL-1β(P=0.001,P=0.023).Compared with the DEACMP group,the NBP group showed shortened escape latency(P=0.025),increased nerve cells(P=0.039),down-regulated expression of IBA1(P=0.035),decreased average fluorescence intensity of IBA1(P=0.031),and lowered levels of TNF-α(P=0.028),IL-6(P=0.037),and IL-1 β(P=0.034).Conclusion NBP can inhibit the activation of microglia and reduce the expression of inflammatory factors,thereby alleviating cog-nitive dysfunction and brain tissue damage caused by DEACMP.

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