1.Effect of Berberine-Baicalin Combination on Fecal Microbiota Transplantation-induced Type 2 Diabetes Mellitus Due to Internal Accumulation of Dampness-heat in Mice from Perspectives of Gut Microbiota and Metabolomics
Mengjie CHEN ; Yimin LIU ; Yun ZHOU ; Keming YU ; Min XIA ; Hongning LIU ; Yanhua JI ; Zhijun ZENG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(5):52-64
ObjectiveTo investigate the mechanisms by which the combination of berberine (BBR) and baicalin (BAI) ameliorates type 2 diabetes mellitus (T2DM) due to internal accumulation of dampness-heat from the perspectives of gut microbiota and metabolomics. MethodsAntibiotics were used to induce pseudo-sterile mice. Thirty pseudo-sterile mice were randomized into a normal fecal microbiota transplantation group (n=10) and a T2DM (syndrome of internal accumulation of dampness-heat) fecal microbiota transplantation group (n=20). The mice were then administrated with suspensions of fecal microbiota from healthy volunteers and a patient with T2DM due to internal accumulation of dampness-heat by gavage, respectively. Each mouse received 200 µL suspension every other day for a total of 15 times to reshape the gut microbiota. The T2DM model mice were then assigned into a model group (n=8) and a BBR-BAI group (n=11). BBR was administrated at a dose of 200 mg·kg-1, and BAI was administrated in a ratio of BBR-BAI 10∶1 based on preliminary research findings. The administration lasted for 8 consecutive weeks. Fasting blood glucose (FBG), glycated hemoglobin (HbA1c), insulin (INS), triglycerides (TG), total cholesterol (CHOL), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) levels were measured to evaluate the effects of the BBR-BAI combination on glucose and lipid metabolism and liver function in T2DM mice. Hematoxylin-eosin staining was employed to observe pathological changes in the colon tissue. The expression of claudin-1, zonula occludens-1 (ZO-1), and occludin in the colon tissue was determined by Western blot. Real-time quantitative polymerase chain reaction(Real-time PCR) was employed to assess the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6) in the colon tissue. The fecal microbiota composition and differential metabolites were analyzed by 16S rRNA sequencing and ultra-high performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry (UPLC-Q-TOF-MS), respectively. ResultsThe BBR-BAI combination lowered the FBG, HbA1c, and INS levels (P<0.05, P<0.01) and alleviated insulin resistance (P<0.01) in T2DM mice. Additionally, BBR-BAI elevated the levels of ZO-1, occludin, and claudin-1 (P<0.05, P<0.01) and down-regulated the expression levels of TNF-α, IL-1β, and IL-6 in the colon (P<0.05, P<0.01). The results of 16S rRNA sequencing showed that BBR-BAI increased the relative abundance of Ligilactobacillus, Phascolarctobacterium, and Akkermansia (P<0.05), while significantly decreasing the relative abundance of Alistipes, Odoribacter, and Colidextribacter (P<0.05). UPLC-Q-TOF-MS identified 28 differential metabolites, which were primarily involved in arachidonic acid metabolism and α-linolenic acid metabolism. ConclusionBBR-BAI can ameliorate T2DM due to internal accumulation of dampness-heat by modulating the relative abundance of various bacterial genera in the gut microbiota and the expression of fecal metabolites.
2.Mechanism of Wendantang in Intervention of ApoE-/- Hyperlipidemic Mice Based on Liver Metabolomics
Yun ZHOU ; Songren YU ; Lu ZHANG ; Wenting LIN ; Keming YU ; Min XIA ; Zhijun ZENG ; Yanhua JI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):1-9
ObjectiveTo explore the mechanism of action of Wendantang on ApoE-/- hyperlipidemic mice using non-targeted metabolomics technology. MethodsMale C57BL/6J mice served as the normal control group (n=6), and they were fed with regular chow, while male ApoE-/- mice constituted the high-fat group (n=30), and they were fed with a 60% high-fat diet. After 11 weeks of model establishment, the mice in the high-fat group were randomly divided into the model group, simvastatin group (3.3 mg·kg-1), and high-dose, medium-dose, and low-dose groups of Wendantang (26, 13, 6.5 g·kg-1, respectively, in terms of crude drug amount), with six mice in each group. The normal control group and the model group were gavaged with an equivalent volume of normal saline, and all groups continued to be fed their respective diets, receiving daily medication for 10 weeks with weekly body weight measurements. Serum levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), free fatty acids (NEFA), blood glucose (GLU), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) were detected in the mice. Pathological changes in liver tissue were observed using hematoxylin-eosin (HE) staining, and ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) was employed for metabolomic analysis of mouse liver tissue. ResultsCompared to the normal control group, the model group exhibited significantly increased body weight, blood lipid levels, and liver function (P<0.05, P<0.01), with disordered liver tissue structure, swollen hepatocytes, and accompanying vacuolar fatty degeneration and inflammatory cell infiltration. Compared to the model group, the simvastatin group and Wendantang groups showed significantly reduced body weight, TG, NEFA, GLU, ALT, and AST levels (P<0.05, P<0.01), with a significant increase in HDL-C levels (P<0.05, P<0.01), demonstrating a dose-dependent effect. The lesion of the liver tissue section was obviously improved after administration, tending towards a normal liver tissue morphology. Analysis of liver metabolites revealed 86 differential metabolites between the normal control group and the model group, with the high-dose group of Wendantang able to regulate 56 of these metabolites. Twenty-two differential metabolites associated with hyperlipidemia were identified, mainly including chenodeoxycholic acid, hyocholic acid, taurine, glycocholic acid, dihydroceramide, hydroxy sphingomyelin C14∶1, arachidonic acid, and linoleic acid, enriching 22 metabolic pathways, with 4 being the most significant (P<0.05), namely primary bile acid biosynthesis, sphingolipid metabolism, unsaturated fatty acid biosynthesis, and linoleic acid metabolism pathways. ConclusionWendantang can improve blood lipid levels and liver function in ApoE-/- hyperlipidemic mice, which may be related to the regulation of primary bile acid biosynthesis, sphingolipid metabolism, unsaturated fatty acid biosynthesis, and linoleic acid metabolism pathways.
3.Association of Estimated Glucose Disposal Rate With the Stenosis Severity of Coronary Artery Disease: A Cross-sectional Study
Yubin WU ; Zhiteng CHEN ; Maoxiong WU ; Wenhao LIU ; Qian CHEN ; Shiyi ZHOU ; Yan-xin CHEN ; Min XIA
Journal of Sun Yat-sen University(Medical Sciences) 2024;45(1):136-145
ObjectiveTo investigate the association between estimated glucose disposal rate (eGDR) and the severity of coronary heart disease. MethodsWe conducted a hospital-based cross-sectional study that included 1258 patients (mean age: 62(53-68) years) who underwent coronary angiography for suspected coronary artery disease (53.9% were male). Insulin resistance level (IR) was calculated according to eGDR formula: eGDR = 21.158 - (0.09 × WC) - (3.407 × hypertension) - (0.551 × HbA1c) [hypertension (yes = 1 / no = 0), HbA1c = HbA1c (%)]. Subjects were grouped according to the eGDR quantile. CAD severity was determined by the number of narrowed vessels: no-obstructive CAD group (all coronary stenosis were<50%, n=704), Single-vessel CAD group (only one involved major coronary artery stenosis≥50%, n=205), Multi-vessel CAD group (two or more involved major coronary arteries stenosis≥50%, n=349); Multivariate logistic regression model was used to analyze the association between eGDR and CAD severity. The linear relationship between eGDR and CAD in the whole range of eGDR was analyzed using restricted cubic spline. Subgroup analyses were used to assess the association between eGDR and CAD severity in different diabetic states. Receiver operating characteristic (ROC) curve analysis were used to evaluate the value of eGDR in improving CAD recognition. ResultsA decrease in the eGDR index was significantly associated with an increased risk of CAD severity (OR: 2.79; 95%CI: 1.72~4.55; P<0.001). In multivariate logistic regression models, individuals with the lowest quantile of eGDR (T1) were 2.79 times more likely to develop multi-vessel CAD than those with the highest quantile of eGDR (T3) (OR: 2.79; 95%CI: 1.72~4.55; P<0.001). Multivariate restricted cubic spline analysis showed that eGDR was negatively associated with CAD and multi-vessel CAD (P-nonlinear>0.05). In non-diabetic patients, compared with the reference group (T3), the T1 group had a significantly increased risk of CAD (OR: 1.42; 95% CI: 1.00~2.01; P<0.05) and multi-vessel CAD (OR: 1.86; 95%CI: 1.21~2.86; P<0.05). No statistical association was found between eGDR and CAD in diabetic patients. In ROC curve analysis, when eGDR was added to traditional model for CAD, significant improvements were observed in the model's recognition of CAD and multi-vessel CAD. ConclusionOur study shows eGDR levels are inversely associated with CAD and CAD severity. eGDR, as a non-insulin measure to assess IR, could be a valuable indicator of CAD severity for population.
4.Effects of Quorum Sensing Molecules on The Immune System
Wen-Min MA ; Xuan-Qi CHEN ; Hong-Xia MA ; Wen-Hui ZHANG ; Ling-Cong KONG ; Yu-Jia ZHOU ; Yuan-Yuan HU ; Yu JIA
Progress in Biochemistry and Biophysics 2024;51(11):2853-2867
In recent years, the development of host-acting antibacterial compounds has gradually become a hotspot in the field of anti-infection. Through research on the interaction mechanism between hosts and pathogenic bacteria, it has been found that the immune system is one of the key targets of host-acting antibacterial compounds. There is a communication system called the quorum sensing system in microorganisms, which mainly adjusts the structure of multi-microbial community and coordinates the group behavior. When the quorum sensing molecules secreted by microorganisms reach a threshold concentration, the quorum sensing system is activated and the overall gene expression of the microorganism is changed. In addition to regulating the density of microorganisms, quorum sensing molecules can also act as a link between pathogenic microorganisms and hosts, entering the host immune system and playing a role in affecting the morphological structure of immune cells, secreting cytokines, and inducing apoptosis, leading to host immune injury and causing host immune dysfunction.The key mechanism of 3-oxo-C12-HSL and other acyl-homoserine lactone (AHL) molecules in the innate immune system has been extensively studied. The lipid solubility allows AHLs to pass through the plasma membrane of host immune cells easily and induce dissolution of lipid domains. Then, it acts through signaling pathways such as p38MAPK and JAK-STAT, further influencing the immune cell’s defense response to bacteria and potentially leading to cell apoptosis. Additionally, the human lactonase paraoxonase 2, which can degrade3-oxo-C12-HSL, has been found in macrophage. It acts as an immune regulator that promotes macrophage phagocytosis of pathogens and is hypothesized to have the ability to reduce bacterial resistance. The mechanism of quorum sensing molecules in the adaptive immune system is less studied, the current results suggest that 3-oxo-C12-HSL is closely related to the mitochondrial pathway in host immune cells. For example, 3-oxo-C12-HSL induces apoptosis of Jurkat cells by inhibiting the expression of three mitochondrial electron transport chain proteins; it can also trigger mitochondrial dysfunction and induce mast cell apoptosis through Ca2+ signaling.Among the quorum sensing molecules, the AHLs have the greatest impact on plant immune system. The different effects on plant resistance depends on the chain lengths of acyl groups in bacterial-produced AHLs. Short-chain AHLs (C4-HSL and C8-HSL) induce plant resistance to pathogenic bacteria mainly through the auxin pathway and jasmonic acid pathway. Long-chain AHL (3-oxo-C14-HSL) is commonly used in hosts against fungal pathogens by inducing stomata defense responses, and the reaction process is related to salicylic acid. Diffusible signal factor molecules also interfere with the stomatal immunity caused by pathogens. It may act through the formin nanoclustering-mediated actin assembly and MPK3 pathway to inhibit the innate immunity of Arabidopsis. In summary, AHLs induced different plant pathways and affects the plant-bacteria interactions to trigger plant immunity. As a quorum sensing molecule of fungi, farnesol has similar effects on host immunity as AHLs, such as stimulating cytokine secretion and activating an inflammatory response. It also plays a unique role on dendritic cell differentiation and maturation. In addition, studies have found that farnesol has a protective effect on autoimmune encephalomyelitis, which may be related to its effect on the composition of intestinal microorganisms of the host.Therefore, targeting the host immune system and quorum sensing molecules to develop antibacterial compounds can effectively inhibit the invasion of pathogens and subserve the host to resist the influence of pathogenic bacteria. This article will review the mechanism of host immune responses triggered by important quorum sensing molecules, aiming to explore the targets of host-acting antibacterial compounds and provide new directions for the prevention or treatment of causative infectious sources and the development of related drugs.
5.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.
6.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.
7.Thiotert Induces Myelodysplastic Syndromes Cells Apoptosis by Activating Oxidative Stress
Qiang-An JING ; Chao-Ting ZHOU ; Yun-Yi WU ; Xia KE ; Xiang-Min TONG
Journal of Experimental Hematology 2024;32(4):1181-1185
Objective:To explore whether thiotert treatment can inhibit proliferation and induce apoptosis in myelodysplastic syndromes(MDS)cells.Methods:CCK-8 assay was used for determining the cytotoxicity of thiotert to MDS cell line SKM-1 and the reversal effect of GSH,NAC,and Z-VAD-FMK on thiotert-induced inhibition of cell viability.EdU assay was deployed to detect the cell proliferation ability.Intracellular reactive oxygen species(ROS)was measured by flow cytometry after DCFH-DA staining.The expression of DNA damage-and apoptosis-related proteins was detected by Western blot.Results:Thiotert treatment significantly suppressed the cell viability and proliferation ability in SKM-1 cells.A large amount of ROS generation and markedly elevated C-PARP,C-Caspase 3,and γ-H2AX were observed after thiotert administration,while BCL-2 was significantly decreased.In addition,GSH,NAC,and Z-VAD-FMK were able to mitigate the cytotoxicity of thiotert on SKM-1 cells.Conclusion:Thiotert can promote MDS cell apoptosis by mediating ROS production and pro-apoptotic proteins expression.
8.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.
9.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.
10.Mechanism of HOXC6 promoting the progression of prostate cancer by activating the SFRP1/Wnt/β-catenin signaling pathway
Yong-Jun ZHENG ; Wen-Min LI ; Li-Chuan ZHENG ; Yan-Feng ZHOU ; Jian WANG ; Wei-Mu XIA ; Wei-Jing YE ; Jia-Shun YU
National Journal of Andrology 2024;30(7):579-587
Objective:To study the expression of the Homeobox C6(HOXC6)gene in the homeobox family in PCa,its effect on the biological behavior of PCa cells and its action mechanism.Methods:Based on the studies of HOXC6 retrieved from the data-base of Gene Expression Profiling Interactive Analysis(GEPIA),we analyzed the expression of HOXC6 in PCa and the relationship of its expression level with the survival prognosis of the patients.We detected the expression of the HOXC6 protein in PCa tissues and cells by Western blot,stably interfered with the expression of the HOXC6 gene in human PCa DU145 and PC-3 cells and normal prosta-tic epithelial RWPE-1 cells using the siRNA plasmid,and determined the effects of HOXC6 on the proliferation,migration and inva-siveness of PCa cells by CCK8,plate cloning and scratch healing and Transwell invasion assays.Using the GEPIA database,we ana-lyzed the correlation of the Wnt tumor inhibitory factor-secreted frizzled-related protein 1(SFRP1)gene with HOXC6,and detected the expressions of HOXC6,SFRP1,Wnt and β-catenin in PC-3 cells after siRNA-HOXC6 transfection by Western blot.Results:The expression of HOXC6 was dramatically higher in the PCa than in the normal prostate tissue(P<0.01),and in the PCa cells than in the normal prostatic epithelial cells(P<0.01).Bioinformatics analysis indicated a lower survival rate of the PCa patients with a high than those with a low HOXC6 expression(P=0.011).The relative expression of the HOXC6 protein,absorbance value,number of clones formed and number of invaded cells were significantly lower in the siRNA group than in the negative controls(P<0.05).Ac-cording to the GEPIA database,highly expressed SFRP1 was associated with a good prognosis of PCa,and the protein expressions of Wnt and β-catenin were markedly increased while that of SFRP1 decreased in the PCa PC-3 cell line(P<0.05).The expressions of the Wnt and β-catenin proteins were decreased and that of SFRP1 increased significantly in the siRNA-HOXC6 transfection group com-pared with those in the siRNA negative control and PCa PC-3 groups(P<0.05).Conclusion:HOXC6 is highly expressed in PCa tissues and related to the proliferation,migration and invasiveness of PCa cells.HOXC6 promotes the growth of DU145 and PC-3 cells in PCa by inhibiting the SFRP1/Wnt/β-catenin signaling pathway,and may be a potential target for clinical treatment of PCa.

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