1.Neuroprotective effect of 7,8-dihydroxyflavone on cerebral hemorrhage in mice by regulating the TrkB/BDNF signal pathway
Kun WANG ; Li-Bo WEN ; Jin-Xia FU ; He-Nan ZHANG ; Li-Jun HAN
The Chinese Journal of Clinical Pharmacology 2024;40(1):52-56
Objective To investigate the neuroprotective effect of 7,8-dihydroxyflavone(7,8-DHF)on cerebral hemorrhage in mice by regulating the tyrosine kinase receptor B(TrkB)/brain derived neurotrophic factor(BDNF)signal pathway.Methods C57BL/6 mice were injected with bacterial collagenase V Ⅱ to establish cerebral hemorrhage model.The mice were randomly grouped into model group,control group(5 mg·kg-1 7,8-DHF),experimental group(1 mg·kg-1 K252a),and combined group(5 mg·kg-1 7,8-DHF+1 mg·kg-1 K252a),mice injected with normal saline were used as sham-operation group,with 10 mice in each group.After the treatment,the mice were scored for neurological function by Garcia method,brain water contents of the brain tissue were detected by the dry and wet weight method,the blood brain barrier permeability was examined using the Evans blue method,the neuronal apoptosis was detected by TUNEL method,and the protein expression levels of TrkB,phosphorylated TrkB(p-TrkB)and BDNF were detected by Western blot.Results The neurological function scores of control,experimental,combined,model and sham-operation groups were(15.47±1.55),(7.23±0.73),(10.55±1.06),(10.45±1.05)and(16.12±1.62)points;the brain water contents were(62.88±2.19)%,(83.77±3.11)%,(72.71±2.59)%,(72.88±2.61)%and(59.64±2.06)%;the Evans blue contents were(3.26±0.36),(16.23±1.63),(8.78±0.88),(9.47±0.95)and(1.02±0.11)μg·g-1;neuronal apoptosis rates were(9.82±0.99)%,(39.88±3.99)%,(22.15±2.24)%,(25.71±2.58)%and(6.46±0.65)%;p-TrkB/TrkB ratios were 1.01±0.11,0.21±0.03,0.48±0.05,0.49±0.05 and 1.03±0.11;the protein expression levels of BDNF were 1.15±0.12,0.18±0.02,0.46±0.05,0.42±0.05 and 1.18±0.12,respectively.The above indexes of sham-operation,control and experimental groups were compared with those of model group,and the above indexes of control and experimental groups were compared with those of combined group,the differences were statistically significant(all P<0.05).Conclusion 7,8-DHF has neuroprotective effect on mice with intracerebral hemorrhage,and its mechanism may be related to the activation of TrkB/BDNF signal pathway.
2.Construction and characterization of lpxC deletion strain based on CRISPR/Cas9 in Acinetobacter baumannii
Zong-ti SUN ; You-wen ZHANG ; Hai-bin LI ; Xiu-kun WANG ; Jie YU ; Jin-ru XIE ; Peng-bo PANG ; Xin-xin HU ; Tong-ying NIE ; Xi LU ; Jing PANG ; Lei HOU ; Xin-yi YANG ; Cong-ran LI ; Lang SUN ; Xue-fu YOU
Acta Pharmaceutica Sinica 2024;59(5):1286-1294
Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria,
3.MRI-based habitat radiomics analysis for identifying molecular subtypes of endometrial cancer:a feasible study from two institutions
Wen-Tao JIN ; Tian-Ping WANG ; Xiao-Jun CHEN ; Guo-Fu ZHANG ; Hai-Ming LI ; He ZHANG
Fudan University Journal of Medical Sciences 2024;51(6):890-899
Objective To develop an MRI-based habitat radiomics model for the preoperative prediction of endometrial cancer(EC)molecular subtypes.Methods Patients with pathologically proven EC from two hospitals were included in the training(n=270)and testing(n=70)cohorts.All patients had preoperative MRI and histological and molecular diagnoses.First,the tumor was divided into habitat subregions based on diffusion-weighted imaging(DWI)and contrast-enhanced(CE)images.Subsequently,habitat radiomic features were extracted from different subregions of T1-weighted imaging(T1WI),T2-weighted imaging(T2WI),DWI,and CE images.Three machine learning classifiers,including logistic regression,support vector machines,and random forests,were applied to develop predictive models for p53-abnormal endometrial cancer,with model performance validated.The model demonstrating the best overall predictive performance was selected as the habitat radiomics model.Using the same procedure,a whole-region radiomics model based on T1WI,T2WI,DWI,and CE sequences and a clinical model were constructed.The performance of the models was evaluated using receiver operating characteristic curves,and DeLong's test was employed to compare differences between the models.Decision curve analysis was used to assess the clinical benefits of the models'application.Results After feature selection,eight habitat radiomic features were retained to construct the habitat radiomics model,ten features for the whole-region radiomics model,and three clinical features for the clinical model.The habitat radiomics model achieved the highest area under the curve(AUC),with 0.855(0.788-0.922)in the training cohort and 0.769(0.631-0.907)in the testing cohort.DeLong's test showed that the habitat radiomics model outperformed the whole-region radiomics model in the training cohort(P=0.001),but there was no significant difference in the testing cohort(P=0.543).In both cohorts,the habitat radiomics model outperformed the clinical model(P=0.007,training cohort;P=0.038,testing cohort).Decision curve analysis(DCA)demonstrated that this model provided clinical benefit for diagnosis within a threshold probability range of approximately 0.2-0.8.Conclusion The MRI-based habitat radiomics model can accurately predict p53-abnormal EC,outperforming both the whole-region radiomics model and the clinical model,and is useful for the non-invasive molecular subtyping of endometrial cancer before surgery.
4.Carrier screening for 223 monogenic diseases in Chinese population:a multi-center study in 33 104 individuals
Wei HOU ; Xiaolin FU ; Xiaoxiao XIE ; Chunyan ZHANG ; Jiaxin BIAN ; Xiao MAO ; Juan WEN ; Chunyu LUO ; Hua JIN ; Qian ZHU ; Qingwei QI ; Yeqing QIAN ; Jing YUAN ; Yanyan ZHAO ; Ailan YIN ; Shutie LI ; Yulin JIANG ; Manli ZHANG ; Rui XIAO ; Yanping LU
Journal of Southern Medical University 2024;44(6):1015-1023
Objective To investigate the epidemiological characteristics and mutation spectrum of monogenic diseases in Chinese population through a large-scale,multicenter carrier screening.Methods This study was conducted among a total of 33 104 participants(16 610 females)from 12 clinical centers across China.Carrier status for 223 genes was analyzed using high-throughput sequencing and different PCR methods.Results The overall combined carrier frequency was 55.58%for 197 autosomal genes and 1.84%for 26 X-linked genes in these participants.Among the 16 669 families,874 at-risk couples(5.24%)were identified.Specifically,584 couples(3.50%)were at risk for autosomal genes,306(1.84%)for X-linked genes,and 16 for both autosomal and X-linked genes.The most frequently detected autosomal at-risk genes included GJB2(autosomal recessive deafness type 1A,393 couples),HBA1/HBA2(α-thalassemia,36 couples),PAH(phenylketonuria,14 couples),and SMN1(spinal muscular atrophy,14 couples).The most frequently detected X-linked at-risk genes were G6PD(G6PD deficiency,236 couples),DMD(Duchenne muscular dystrophy,23 couples),and FMR1(fragile X syndrome,17 couples).After excluding GJB2 c.109G>A,the detection rate of at-risk couples was 3.91%(651/16 669),which was lowered to 1.72%(287/16 669)after further excluding G6PD.The theoretical incidence rate of severe monogenic birth defects was approximately 4.35‰(72.5/16 669).Screening for a battery of the top 22 most frequent genes in the at-risk couples could detect over 95%of at-risk couples,while screening for the top 54 genes further increased the detection rate to over 99%.Conclusion This study reveals the carrier frequencies of 223 monogenic genetic disorders in the Chinese population and provides evidence for carrier screening strategy development and panel design tailored to the Chinese population.In carrier testing,genetic counseling for specific genes or gene variants can be challenging,and the couples need to be informed of these difficulties before testing and provided with options for not screening these genes or gene variants.
5.Carrier screening for 223 monogenic diseases in Chinese population:a multi-center study in 33 104 individuals
Wei HOU ; Xiaolin FU ; Xiaoxiao XIE ; Chunyan ZHANG ; Jiaxin BIAN ; Xiao MAO ; Juan WEN ; Chunyu LUO ; Hua JIN ; Qian ZHU ; Qingwei QI ; Yeqing QIAN ; Jing YUAN ; Yanyan ZHAO ; Ailan YIN ; Shutie LI ; Yulin JIANG ; Manli ZHANG ; Rui XIAO ; Yanping LU
Journal of Southern Medical University 2024;44(6):1015-1023
Objective To investigate the epidemiological characteristics and mutation spectrum of monogenic diseases in Chinese population through a large-scale,multicenter carrier screening.Methods This study was conducted among a total of 33 104 participants(16 610 females)from 12 clinical centers across China.Carrier status for 223 genes was analyzed using high-throughput sequencing and different PCR methods.Results The overall combined carrier frequency was 55.58%for 197 autosomal genes and 1.84%for 26 X-linked genes in these participants.Among the 16 669 families,874 at-risk couples(5.24%)were identified.Specifically,584 couples(3.50%)were at risk for autosomal genes,306(1.84%)for X-linked genes,and 16 for both autosomal and X-linked genes.The most frequently detected autosomal at-risk genes included GJB2(autosomal recessive deafness type 1A,393 couples),HBA1/HBA2(α-thalassemia,36 couples),PAH(phenylketonuria,14 couples),and SMN1(spinal muscular atrophy,14 couples).The most frequently detected X-linked at-risk genes were G6PD(G6PD deficiency,236 couples),DMD(Duchenne muscular dystrophy,23 couples),and FMR1(fragile X syndrome,17 couples).After excluding GJB2 c.109G>A,the detection rate of at-risk couples was 3.91%(651/16 669),which was lowered to 1.72%(287/16 669)after further excluding G6PD.The theoretical incidence rate of severe monogenic birth defects was approximately 4.35‰(72.5/16 669).Screening for a battery of the top 22 most frequent genes in the at-risk couples could detect over 95%of at-risk couples,while screening for the top 54 genes further increased the detection rate to over 99%.Conclusion This study reveals the carrier frequencies of 223 monogenic genetic disorders in the Chinese population and provides evidence for carrier screening strategy development and panel design tailored to the Chinese population.In carrier testing,genetic counseling for specific genes or gene variants can be challenging,and the couples need to be informed of these difficulties before testing and provided with options for not screening these genes or gene variants.
6.Thoughts and Methods of Soothing Liver and Regulating the Mind Integrated Acupuncture and Moxibustion Programme for the Treatment of Perimenopausal Insomnia
Zi-Jin QIN ; Yi-Rong ZHOU ; Wen-Bin FU
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(5):1220-1226
Perimenopausal insomnia is referred to as"syndromes occured before and after amenorrhea","insomnia"and"visceral irritability"in traditional Chinese medicine.It is believed that yin deficiency of the liver and kidney leads to liver constraint transforming into fire,which harassing the upper body of the heart and spirit,as well as qi and blood insufficiency that leads to the dysfunction of liver,which is the main pathogenesis of perimenopausal insomnia.Therefore,the treatment method of soothing the liver and regulating the mind is proposed,and combined with acupuncture,fine moxibustion,pricking collaterals,auricular acupuncture,back-shu point embedding acupuncture and other treatment methods,which together constitute the"firstly applying needling,secondly using moxibustion,thirdly focusing on consolidation"integrated acupuncture and moxibustion program to provide treatment ideas for perimenopausal insomnia.
7.Analysis of FU Wen-Bin's Experience in the Treatment of Radiation Encephalopathy
Jin-Feng GAO ; Shan-Ze WANG ; Ying DENG ; Xi-Chang HUANG ; Si-Bo WEI ; Wen-Bin FU
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(6):1493-1498
Based on the principle of'treating disease and seeking the root cause',Professor FU Wen-Bin proposed'treating radiation encephalopathy(REP)from yang',pointing out that the main pathogenesis of REP is yang qi deficiency,brain spirit dystrophy,phlegm and blood stasis blocking orifices.Using'supplementing yang and unblocking yang simultaneously','treating spirit from heart and gallbladder',combined with the method of regulating spirit and unblocking orifices at acupoints of governor vessol and conception vessel,and using the integrated acupuncture mode of'firstly applying needling,secondly using moxibustion,thirdly focusing on consolidation'to play the role of supporting yang and treating spirit can effectively relieve symptoms and delay the development of the disease.
8.Evaluation of biological properties of Gd-doped hydroxyapatite bio-nanocomposites
Wei-Li KONG ; Yu YANG ; Fu-Guo SHEN ; Wen-Cai SUN ; Hao GU ; Song JIN ; Wen-Long XIAO
Acta Anatomica Sinica 2024;55(5):632-640
Objective To investigate the biocompatibility of new gadolinium-doped hydroxyapatite(Gd-HA)composite scaffolds and to explore their feasibility as cell culture materials and bone tissue engineering scaffolds.Methods The Gd-HA composite scaffolds were chemically synthesized and placed under the electron microscope for observation.The experiment was divided into three groups,the HA group,the Gd-HA group,and the control group.Rabbit adipose-derived mesenchymal stem cells(ADSCs)were isolated,cultured and characterized,and the Gd-HA composite scaffold extract was added to the ADSCs in vitro culture system.Cell survival and cytotoxicity were assessed by live-dead cell staining,cell proliferation ability within the scaffolds was assessed by CCK-8 assay,and the scaffolds were assessed by alizarin red staining for cell osteogenic differentiation.The toxic reactions of the scaffold materials were observed by skin irritation test,systemic acute toxicity test and muscle tissue and liver and kidney pathology at the site of intramuscular implantation of the scaffolds.Results The Gd-HA composite scaffold showed irregular void structure under electron microscope.Cell morphology observation showed that ADSCs grew adherently to the wall and were long shuttle-shaped.The positivity rate of CD29 was 96.94%,CD44 was 97.90%,CD45 was 0.10%,and CD34 was 0.46%,which was obtained using flow cytometry.Live-dead cell staining showed that the amount of live cells in the Gd-HA group was significantly better than that in the hydroxyapatite(HA)group after 5 days of co-culture.CCK-8 assay showed no significant difference in cell proliferation within 0-3 days.After 3 days,the Gd-HA group was significantly better than the HA group and the control group(P<0.05).Calcium nodule deposition after alizarin red staining was significantly better in the Gd-HA group than in the HA and control groups,showing a deeper red color.No skin irritation was observed in gross and skin tissue HE observations after the contact of the extract with the skin.The general condition of the experimental groups was good after the infusion of the extract into the abdominal cavity,and the body mass tended to increase steadily(P>0.05).HE staining showed that inflammatory reaction at the interface between the material and muscle tissue of the stent intramuscular implantation site in Gd-HA group was significantly higher than that of the control group,and the inflammatory cell infiltration was gradually reduced with the prolongation of implantation time.At the 8th weeks the morphology of the tissue around the material was close to normal muscle tissue,and no pathological changes were observed in the HE staining of liver and kidney at the 12th week.Conclusion Gd-HA composite scaffolds exhibit good biocompatibility and facilitate cell proliferation and osteogenic differentiation,and they are expected to serve as good carriers for stem cell transplantation in tissue engineering.
9.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
10.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; 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 ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.

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