1.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; 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(1):42-57
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative 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:During the study period,9 035 strains of Gram-negative bacteria were collected from 51 hospitals,of which 7 895(87.4%)were Enterobacteriaceae and 1 140(12.6%)were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli( n=4 510,49.9%), Klebsiella pneumoniae( n=2 340,25.9%), Pseudomonas aeruginosa( n=534,5.9%), Acinetobacter baumannii complex( n=405,4.5%)and Enterobacter cloacae( n=327,3.6%). The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus spp. were 47.1%(2 095/4 452),21.0%(427/2 033)and 41.1%(58/141),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(58/4 510)and 13.1%(307/2 340);62.1%(36/58)and 9.8%(30/307)of CREC and CRKP were resistant to ceftazidime/avibactam combination,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 59.5%(241/405),while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 18.4%(98/534). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions,with statistically significant differences in the prevalence of CRKP and CRPA( χ2=20.489 and 20.252, P<0.001). The prevalence of CREC,CRKP,CRPA,CRAB,ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals( χ2=11.953,81.183,10.404,5.915,12.415 and 6.459, P<0.01 or <0.05),while the prevalence of CRPA was higher in economically developed regions(per capita GDP ≥ 92 059 Yuan)than that in economically less-developed regions(per capita GDP <92 059 Yuan)( χ2=6.240, P=0.012). Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend,and Escherichia coli is ranked in the top,while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different,and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.
2.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.
3.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
4.Discovery of novel covalent selective estrogen receptor degraders against endocrine-resistant breast cancer.
Yubo WANG ; Jian MIN ; Xiangping DENG ; Tian FENG ; Hebing HU ; Xinyi GUO ; Yan CHENG ; Baohua XIE ; Yu YANG ; Chun-Chi CHEN ; Rey-Ting GUO ; Chune DONG ; Hai-Bing ZHOU
Acta Pharmaceutica Sinica B 2023;13(12):4963-4982
Endocrine-resistance remains a major challenge in estrogen receptor α positive (ERα+) breast cancer (BC) treatment and constitutively active somatic mutations in ERα are a common mechanism. There is an urgent need to develop novel drugs with new mode of mechanism to fight endocrine-resistance. Given aberrant ERα activity, we herein report the identification of novel covalent selective estrogen receptor degraders (cSERDs) possessing the advantages of both covalent and degradation strategies. A highly potent cSERD 29c was identified with superior anti-proliferative activity than fulvestrant against a panel of ERα+ breast cancer cell lines including mutant ERα. Crystal structure of ERα‒ 29c complex alongside intact mass spectrometry revealed that 29c disrupted ERα protein homeostasis through covalent targeting C530 and strong hydrophobic interaction collied on H11, thus enforcing a unique antagonist conformation and driving the ERα degradation. These significant effects of the cSERD on ERα homeostasis, unlike typical ERα degraders that occur directly via long side chains perturbing the morphology of H12, demonstrating a distinct mechanism of action (MoA). In vivo, 29c showed potent antitumor activity in MCF-7 tumor xenograft models and low toxicity. This proof-of-principle study verifies that novel cSERDs offering new opportunities for the development of innovative therapies for endocrine-resistant BC.
5.Comparation of resting brain regional homogeneity between patients with major depressive disorder and their healthy siblings
Feng LI ; Zhifang ZHANG ; Baohua ZHANG ; Fang DONG ; Lei ZHAO ; Zhenzhu CHEN ; Tian LI ; Yimeng WANG ; Qijing BO ; Chuanyue WANG
Chinese Journal of Behavioral Medicine and Brain Science 2023;32(3):225-230
Objective:To explore differences of resting brain regional homogeneity (ReHo) between patients with major depressive disorder (MDD) and their siblings.Methods:From January to December 2013, the resting-state functional magnetic resonance imaging (fMRI) data of 87 patients with MDD and 21 healthy siblings were collected.DPABI v5.1 software was used to preprocess the resting-state fMRI data, and ReHo maps of each subject was obtained. A two-sample t-test was used to compare differences between the patients with MDD and their siblings in ReHo values throughout the brain. ReHo values within the significant brain regions were extracted out, and used to calculate Spearman correlation with the total score of 17-items Hamilton depression rating scale(HAMD-17) in the patients with MDD and their siblings respectively.The software of SPSS 20.0 was used for statistical analysis. Results:The patients with MDD exhibited lower ReHo values in the precuneus extending to the posterior cingulate cortex (PCu/PCC) compared with their siblings (cluster-size=126 voxel, cluster-level PFDR=0.033; MNI: x=-4, y=-58, z=38, t=4.30). ReHo values of the PCu/PCC in patient with MDD were positively correlated with the severity of depressive symptoms ( r=0.255, P=0.021). Conclusion:Compared with the siblings, local brain activity of the PCu/PCC in the patients with MDD was decreased, and related to the severity of depressive symptoms. It is helpful to further reveal the intrinsic neural mechanism of MDD.
6.BRICS report of 2021: The distribution and antimicrobial resistance profile of clinical bacterial isolates from blood stream infections in China
Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiliang WANG ; Hui DING ; Haifeng MAO ; Yizheng ZHOU ; Yan JIN ; Yongyun LIU ; Yan GENG ; Yuanyuan DAI ; Hong LU ; Peng ZHANG ; Ying HUANG ; Donghong HUANG ; Xinhua QIANG ; Jilu SHEN ; Hongyun XU ; Fenghong CHEN ; Guolin LIAO ; Dan LIU ; Haixin DONG ; Jiangqin SONG ; Lu WANG ; Junmin CAO ; Lixia ZHANG ; Yanhong LI ; Dijing SONG ; Zhuo LI ; Youdong YIN ; Donghua LIU ; Liang GUO ; Qiang LIU ; Baohua ZHANG ; Rong XU ; Yinqiao DONG ; Shuyan HU ; Kunpeng LIANG ; Bo QUAN ; Lin ZHENG ; Ling MENG ; Liang LUAN ; Jinhua LIANG ; Weiping LIU ; Xuefei HU ; Pengpeng TIAN ; Xiaoping YAN ; Aiyun LI ; Jian LI ; Xiusan XIA ; Xiaoyan QI ; Dengyan QIAO ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2023;16(1):33-47
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical bacterial isolates from bloodstream infections in China in 2021.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2021 to December 2021. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 11 013 bacterial strains were collected from 51 hospitals, of which 2 782 (25.3%) were Gram-positive bacteria and 8 231 (74.7%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.6%), Klebsiella pneumoniae (18.9%), Staphylococcus aureus (9.8%), coagulase-negative Staphylococci (6.3%), Pseudomonas aeruginosa (3.6%), Enterococcus faecium (3.6%), Acinetobacter baumannii (2.8%), Enterococcus faecalis (2.7%), Enterobacter cloacae (2.5%) and Klebsiella spp (2.1%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 25.3% and 76.8%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci was detected; more than 95.0% of Staphylococcus aureus were sensitive to ceftobiprole. No vancomycin-resistant Enterococci strains were detected. The rates of extended spectrum B-lactamase (ESBL)-producing isolated in Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 49.6%, 25.5% and 39.0%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.2% and 15.8%, respectively; 7.9% of carbapenem-resistant Klebsiella pneumoniae was resistant to ceftazidime/avibactam combination. Ceftobiprole demonstrated excellent activity against non-ESBL-producing Escherichia coli and Klebsiella pneumoniae. Aztreonam/avibactam was highly active against carbapenem-resistant Escherichia coli and Klebsiella pneumoniae. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii (5.5% and 4.5%). The prevalence of carbapenem-resistance in Pseudomonas aeruginosa was 18.9%. Conclusions:The BRICS surveillance results in 2021 shows that the main pathogens of blood stream infection in China are gram-negative bacteria, in which Escherichia coli is the most common. The MRSA incidence shows a further decreasing trend in China and the overall prevalence of vancomycin-resistant Enterococci is low. The prevalence of Carbapenem-resistant Klebsiella pneumoniae is still on a high level, but the trend is downwards.
7.Study on integrated technology of producing area processing and decoction pieces processing of Curcuma longa
Mingyue AO ; Ying PENG ; Baohua DONG ; Yunxiu JIANG ; Yujiao LIAO ; Lingying YU ; Zhimin CHEN ; Changjiang HU
China Pharmacy 2022;33(2):172-178
OBJECTIVE To op timize the i ntegrated technology of producing area processing and decoction pieces processing of Curcuma longa (hereinafter refer to “integrated technology ”). METHODS The content of ethanol-soluble extract in C. longa was determined by hot leaching method ;the contents of curcumin ,demethoxycurcumin and bisdemethoxycurcumin were determined by high performance liquid chromatography. On the basis of identification of producing area processing technology , Using overall desirability (OD) value of the contents of ethanol-soluble extract , curcumin, demethoxycurcumin and bisdemethoxycurcumin as evaluation indexes ,moisture content ,slice thickness and drying temperature as factors ,the integrated technology of C. longa was optimized by single factor tests combined with central composite design-response surface method ,and the validation tests were conducted. At the same time ,prepared product was compared with traditional decoction pieces prepared according to 2020 edition of Chinese Pharmacopoeia (part Ⅰ). RESULTS The best integrated technology was that the fresh C. longa was boiled in boiling water for 5 min,dried at 50 ℃ to 40% water content ,cut into 2 mm thin slices ,and dried at 50 ℃ until moisture content not exceeding 15.0%. After validation ,The deviation between the average OD value (0.811 3,RSD=2.13%) and the predicted value (0.848 1)of the contents of ethanol-soluble extract ,curcumin,demethoxycurcumin and bisdemethoxycurcumin was 4.34%. OD value of the contents of ethanol-soluble extract ,curcumin,demethoxycurcumin and bisdemethoxycurcumin in decoction pieces prepared by integrated technology were all higher than those prepared by traditional technology. CONCLUSIONS The process optimized in this study is simple ,stable and feasible.
8.Clinical characteristics, seasonal characteristics and related factors in patients with atypical depression
Ziyao WANG ; Yanping SONG ; Shuang LIU ; Yuhan DENG ; Jiuju WANG ; Wenxiang QUAN ; Wentian DONG ; Baohua LIU
Chinese Journal of Behavioral Medicine and Brain Science 2022;31(3):261-266
Objective:To know the clinical characteristics, seasonal pattern and influencing factors of atypical depression(AD) patients.Methods:A total of 203 depressed outpatients of Peking University Sixth Hospital from January 2021 to August 2021 were included.They were assessed with demographic questionnaire, inventory of depressive symptomatology self-report(IDS-SR30) and seasonal pattern assessment questionnaire(SPAQ). According the score of IDS-SR30, all patients were classified as atypical depression(AD) and non-atypical depression(non-AD). The data were analyzed by t-test, non-parametric test and Logistic regression using SPSS 26.0 software. Results:The prevalence of AD among depressed patients was 36.0% (95% CI=29.3%-42.6%). The IDS-30 score of the AD group was (41.59±10.59), and IDS-30 score of the non-AD group was (36.08±13.17), and the difference between the two groups was statistically significant ( t=3.062, P<0.05). The global seasonal score of the AD group was 6 (3, 9), and 17.8% of the AD group had seasonal pattren.The global seasonal score of the non-AD group was 5 (3, 8), and 14.6% of the non-AD group had seasonal pattern.There was no significant difference in the global seasonal score and the proportion of seasonal pattern between the two groups ( Z=0.389, χ2=0.359, P>0.05). Depression patients who were females ( β=1.08, OR=2.95, 95% CI=1.32-6.59, P<0.05), low self-evaluation ( β=0.82, OR=2.27, 95% CI=1.12-4.59, P<0.05)and psychomotor retardation ( β=0.93, OR=2.54, 95% CI=1.33-4.85, P<0.05) were more likely to be diagnosed as AD, and depression patients having mood variation ( β=-0.94, OR=0.39, 95% CI=0.19-0.81, P<0.05) were more likely to be diagnosed as non-AD. Conclusion:Women, low self-evaluation, psychomotor retardation and unobvious mood variation can predict and help to diagnose atypical depression in depressed patients.
9.Effects of Zingiber officinale and processed Zingiber officinale on pharmacodynamic indexes and intestinal flora on gastric ulcer rats with spleen-stomach deficiency and cold type
Lingying YU ; Xing LI ; Pingjun CAI ; Mengqin QIANG ; Baohua DONG ; Yunxiu JIANG ; Qinwan HUANG ; Zhimin CHEN
China Pharmacy 2022;33(20):2460-2465
OBJECTIVE To explore the influence of Zingiber officinale and processed Z. officinale on pharmacodynamic indexes and intestinal flora on gastric ulcer rats with spleen -stomach deficiency and cold type before and after processing with sand . METHODS The SD rats were randomly divided into normal group ,model group ,positive control group (Compound tianqi weitong capsule 0.45 g/kg),Z. officinale high-dose(15.0 g/kg)and low -dose(7.5 g/kg)groups,processed Z. officinale high- dose(15.0 g/kg)and low -dose(7.5 g/kg)groups,with 10 rats in each group . The rat model of gastric ulcer with spleen -stomach deficiency and cold type was established by intragastric administration of vinegar (day 1-10)and absolute ethanol (day 11). Administration groups were given relevant liquid intragastrically ,and normal group and model group were given water intragastrically(day 5-10). One hour after intragastric administration of absolute ethanol ,blood was taken from the femoral artery of rats ,the serum contents of motilin (MTL),gastrin(GAS),epidermal growth factor (EGF)as well as 4 items of blood coagulation [activated partial thromboplastin time (APTT),prothrombin time (PT),thrombin time (TT),fibrinogen(FIB)] were detect. The ulcer index and inhibition rate of ulcer in gastric tissue were calculated . The pathological changes of gastric tissue were observed,and the number and area of erosions were recorded . The diversity of gut microbiota in fecal samples of rats was detected . RESULTS Compared with model group ,the contents of MTL (except for processed Z. officinale low-dose group ),GAS(except for processed Z. officinale low-dose group ),EGF(except forofficinale groups) and FIB (except for Z. officinale groups),inhibitory rate of ulcer (only positive control group )were all increased significantly (P<0.05). APTT(except for Z. officinale groups),PT(only processed Z. officinale high- dose group ),TT(except for Z. officinale groups),ulcer index (except for Z. officinale groups),the number (except for Z. officinale groups)and area of erosions (except for Z. officinale groups)were shortened and decreased significantly (P<0.05); improvement effects of processed Z. officinale were better than those of the same dose of Z. officinale on EGF ,4 items of blood coagulation(except for PT ,TT,FIB of processed Z. officinale low-dose group ),ulcer index (except for processed Z. officinale low-dose group )and inhibitory rate of ulcer (P<0.05). Compared with model group ,α diversity indexes as ACE ,Shannon and Simpson of intestinal microorganisms in rats were increased significantly in processed Z. officinale group;the relative abundance of Proteobacteria was decreased significantly in processed Z. officinale group,while that of Bacteroidetes was increased significantly (P<0.05); the relative abundance of Limosilactobacillus was decreased significantly in Z. officinale group (P<0.05). CONCLUSIONS Z. officinale and processed Z. officinale can improve the symptoms of spleen -stomach deficiency and cold ,and enhance gastrointestinal function by increasing the content of GAS and MTL . Processed Z. officinale can significantly inhibit gastric ulcer of spleen -stomach deficiency and cold type ,which is related to the promotion of mucosal protection and repair ,improvement of coagulation functionand adjustment of gut microbiotadisorder .
10.The effect of short sleep deprivation on cognitive performance and sleepiness in adults
Yanping Song ; Wei Qin ; Xinrui Lü ; ; Ziyao Wang ; Weimin Dang ; Zhizhong Chen ; Baohua Liu ; Wentian Dong
Acta Universitatis Medicinalis Anhui 2022;57(1):148-152
Objective :
To investigate the effects of one night of sleep deprivation on adults ’cognitive performance
and sleepiness.
Methods :
The study employed a repeated⁃measures design. Participants performed cognitive performance tasks , which included the Continuous Performance Test and Digit Span Test and Karolinska Sleepiness Scale. The data were analyzed using one⁃way repeated⁃measures ANOVA.
Results :
48 participants were included in this study. Sleep deprivation during night shift had a adversely affect on sustained attention performance and alertness (P < 0. 05) . Compared with the beginning of night shift work , the correct number decreased , the number of errors , missed number and reaction time increased , and the score of Karolinska sleepiness scale decreased after the night shift work. The sleep deprivation has no significant effect on working memory performance (P > 0. 05) .
Conclusion
One night of sleep deprivation has significant deleterious effects on cognitive performance and subjec⁃
tive sleepiness. However, no effect on the working memory performances has been found.


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