1.A Novel Retrograde AAV Variant for Functional Manipulation of Cortical Projection Neurons in Mice and Monkeys.
Yefei CHEN ; Jingyi WANG ; Jing LIU ; Jianbang LIN ; Yunping LIN ; Jinyao NIE ; Qi YUE ; Chunshan DENG ; Xiaofei QI ; Yuantao LI ; Ji DAI ; Zhonghua LU
Neuroscience Bulletin 2024;40(1):90-102
		                        		
		                        			
		                        			Retrograde adeno-associated viruses (AAVs) are capable of infecting the axons of projection neurons and serve as a powerful tool for the anatomical and functional characterization of neural networks. However, few retrograde AAV capsids have been shown to offer access to cortical projection neurons across different species and enable the manipulation of neural function in non-human primates (NHPs). Here, we report the development of a novel retrograde AAV capsid, AAV-DJ8R, which efficiently labeled cortical projection neurons after local administration into the striatum of mice and macaques. In addition, intrastriatally injected AAV-DJ8R mediated opsin expression in the mouse motor cortex and induced robust behavioral alterations. Moreover, AAV-DJ8R markedly increased motor cortical neuron firing upon optogenetic light stimulation after viral delivery into the macaque putamen. These data demonstrate the usefulness of AAV-DJ8R as an efficient retrograde tracer for cortical projection neurons in rodents and NHPs and indicate its suitability for use in conducting functional interrogations.
		                        		
		                        		
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Haplorhini
		                        			;
		                        		
		                        			Axons
		                        			;
		                        		
		                        			Motor Neurons
		                        			;
		                        		
		                        			Interneurons
		                        			;
		                        		
		                        			Macaca
		                        			;
		                        		
		                        			Dependovirus/genetics*
		                        			;
		                        		
		                        			Genetic Vectors
		                        			
		                        		
		                        	
2.Longitudinal extrauterine growth restriction in extremely preterm infants: current status and prediction model
Xiaofang HUANG ; Qi FENG ; Shuaijun LI ; Xiuying TIAN ; Yong JI ; Ying ZHOU ; Bo TIAN ; Yuemei LI ; Wei GUO ; Shufen ZHAI ; Haiying HE ; Xia LIU ; Rongxiu ZHENG ; Shasha FAN ; Li MA ; Hongyun WANG ; Xiaoying WANG ; Shanyamei HUANG ; Jinyu LI ; Hua XIE ; Xiaoxiang LI ; Pingping ZHANG ; Hua MEI ; Yanju HU ; Ming YANG ; Lu CHEN ; Yajing LI ; Xiaohong GU ; Shengshun QUE ; Xiaoxian YAN ; Haijuan WANG ; Lixia SUN ; Liang ZHANG ; Jiuye GUO
Chinese Journal of Neonatology 2024;39(3):136-144
		                        		
		                        			
		                        			Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.
		                        		
		                        		
		                        		
		                        	
3.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.
		                        		
		                        		
		                        		
		                        	
4.Research Progress on Role of Long Non-Coding RNA in Occurrence and Development of Acute Myeloid Leukemia——Review
Xiao-Shi LU ; Xin-Qi WANG ; Ying-Nan DU ; Ji-Hong ZHANG
Journal of Experimental Hematology 2024;32(3):974-978
		                        		
		                        			
		                        			In recent years,the importance of long non-coding RNA(lncRNA)in acute myeloid leukemia(AML)has attracted wide attention.Among them,lncRNAs that play a role in promoting cancer mainly include HOTAIR,UCA1,H19,ITGB2-AS1 and some genes of SNHG family,while in tumor suppression mainly include H22954,NEAT1,SNHG4,LINC01128,etc.This article reviews the role of lncRNAs in the occurrence and development of AML,as well as those related to AML resistance and prognosis assessment,so as to provide a theoretical basis for the diagnosis and prognosis analysis of AML.
		                        		
		                        		
		                        		
		                        	
5.Effect of Myod1 on proliferation and apoptosis of oxygen-glucose-deprived SHSY5Y cells by regulating lncRNA SNHG15 and miR-24-3p
Fangchao JI ; Chenxin ZHANG ; Zhanjun REN ; Yunzhi PAN ; Qi LU ; Xingyuan SUN
Journal of Jilin University(Medicine Edition) 2024;50(4):989-999
		                        		
		                        			
		                        			Objective:To investigate the effect of myogenic differentiation protein 1(Myod1)on the proliferation inhibition and apoptosis of the SH-SY5Y cells induced by oxygen-glucose deprivation(OGD),and to elucidate its mechanism.Methods:Real-time quantitative fluorescence PCR(RT-qPCR)method was used to detect the mRNA levels of Myod1 and long non-coding RNA(lncRNA)small nucleolar RNA host gene 15(SNHG15)in peripheral blood of the subjects in normal group and the patients in ischemic cerebral infarction group as well as the normal cultured SH-SY5Y cells(control group)and the cells in OGD model(OGD group).After transfecting SH-SY5Y cells with si-Myod1,pcDNA3.0-Myod1,si-SNHG15,pcDNA3.0-SNHG15、si-NC,Vector,miR-NC,and miR-24-3p mimics,the cells were treated with OGD,and then the SH-SY5Y cells were divided into control group,OGD group,OGD+Vector group,OGD+Myod1 group,OGD+si-NC group,OGD+si-Myod1 group,OGD+si-SNHG15 group,OGD+si-SNHG15+Vector group,OGD+si-SNHG15+Myod1 group,OGD+miR-NC group,OGD+miR-mimics group,OGD+miR-mimics+Vector group,and OGD+miR-mimics+SNHG15 group.CCK-8 method was used to detect the cell activities in various groups;5-ethynyl-2'-deoxyuridine(EdU)staining was used to detect the rates of EDU positive cells in various groups;the rates of TdT-mediated dUTP nick end labeling(TUNEL)positive cells in various groups were detected by TUNEL staining;Western blotting method was used to detect the expression levels of cleaved caspase-3,cleaved caspase-9,B-cell lymphoma 2(Bcl-2)and Bcl-2 associated X protein(Bax)proteins in the cells in various groups;the association between Myod1 and SNHG15 was evaluated by chromatin immunoprecipitate(CHIP);dual luciferase reporter gene experiment was used to evaluate the targeting relationships between Myod1 and SNHG15 as well as SNHG15 and miR-24-3p.Results:Compared with normal control group,the expression levels of Myod1 and SNHG15 mRNA in peripheral blood of the patients in ischemic cerebral infarction group were significantly increased(P<0.05).Compared with control group,the expression levels of Myod1 and SNHG15 mRNA in the SH-SY5Y cells in OGD group were significantly increased(P<0.05).Compared with OGD group,the cell activities and rates of EdU positive cells in OGD+Myod1 group at 48 and 72 h were decreased(P<0.01),and the rates of TUNEL positive cells were increased(P<0.05);the cell activities and rates of EdU positive cells in OGD+si-Myod1 group were increased(P<0.05),while the rates of TUNEL positive cells were decreased(P<0.01).Myod1 binded to the promoter sequence of SNHG15.SNHG15 could absorb miR-24-3p,and there were target relatronships between Myod1 and SNHG15 as well as SNHG15 and miR-24-3p.After SNHG15 knockdown,compared with OGD group,the cell activities and rates of EdU positive cells in OGD+si-SNHG15 group at 48 and 72 h were increased(P<0.01),and the rates of TUNEL positive cells were decreased(P<0.01),the expression levels of Bax,cleaved caspase-3 and cleaved caspase-9 proteins were decreased(P<0.01),and the expression levels of Bcl-2 protein were increased(P<0.01).Compared with OGD+si-SNHG15 group,the cell activities and rates of EdU positive cells in OGD+si-SNHG15+Myod1 group at 48 and 72 h were decreased(P<0.05),the rates of TUNEL positive cells were(P<0.05),the expression levels of Bax,cleaved caspase-3,and cleaved caspase-9 proteins were increased(P<0.05),and the expression levels of Bcl-2 were decreased(P<0.05).After over-expression of miR-24-3p and SNHG15,compared with OGD group,the cell activities and rates of EdU positive cells in OGD+miR-mimics group at 48 and 72 h were increased(P<0.01),the rates of TUNEL positive cells were significantly decreased(P<0.01),the protein expression levels of Bax,cleaved caspase-3 and cleaved caspase-9 were decreased(P<0.05),and the expression levels of Bcl-2 were increased(P<0.01).Compared with OGD+miR-mimics group,the cell activities and rates of EdU positive cells in OGD+miR-mimics+SNHG15 group at 48 and 72 h were decreased(P<0.05),and the rates of TUNEL positive cells were increased(P<0.05),the expression levels of Bax,cleaved caspase-3 and cleaved caspase-9 proteins were increased(P<0.05),and the expression levels of Bcl-2 protein were decreased(P<0.05).Conclusion:Myod1 can promote the proliferation inhibition and apoptosis of OGD-induced SH-SY5Y cells by binding to the SNHG15 promoter region and then absorbing miRNA-24.
		                        		
		                        		
		                        		
		                        	
6.Content Feature Mining of Medical Reviews and Its Impact on Patients' Utilization of Online Consultation Services
Zhilin JI ; Qi YU ; Jiao LU ; Peifeng HE ; Qichao GAO
Journal of Medical Informatics 2024;45(7):62-67,102
		                        		
		                        			
		                        			Purpose/Significance To expound the content features of online medical reviews and its impact on the utilization of pa-tients'online consultation services,and to provide references for the information management of online medical platforms.Method/Process The LDA topic model based on TF-IDF is constructed,the semantic analysis method based on sentiment dictionary is adopted to mine the content features of online medical reviews,and the principal component analysis(PC A)is applied to classify and explore them,and the regression analysis is carried out by binary logistic.Result/Conclusion The content features of online medical reviews are divided into 3 categories,including 9 indicators.Among them,the attributes of reviewers,timeliness,consultation process,service atti-tude and platform feedback have a significant impact on the utilization of efficient online consultation services by patients.It is suggested to improve the utilization level of online consultation services by optimizing related services of online medical platform review section.
		                        		
		                        		
		                        		
		                        	
7.Design of portable collection device for exhaled breath condensate
An XIANG ; Lei ZHOU ; Qi-Feng JI ; Yuan-Zhe LI ; Qin WANG ; Shi-Man ZHU ; Jie PENG ; Xiao-Ying LEI ; Wei-Na LI ; Li WANG ; Yan-Hai GUO ; Zi-Fan LU
Chinese Medical Equipment Journal 2024;45(8):32-37
		                        		
		                        			
		                        			Objective To develop a portable collection device of human exhaled breath condensate(EBC)based on natural breathing to meet the needs for rapid screening of human respiratory tract(especially lower respiratory tract)infections.Methods The device consisted of a refrigeration unit,a heat dissipation unit and a condensation unit.The refrigeration unit adopted a TES1-7102 thermoelectric Peltier cooler semiconductor as the refrigeration element;the heat dissipation unit was composed of a high thermal conductivity aluminum heat sink and a high-speed brushless cooling fan;the condensation unit was made up of a cold guide plate and a condenser,in which the cold guide plate was made of thin sheet of aluminum alloy,and the condenser was prepared by 3D printing technology and made of hydrophobic polylactic acid,with primary and secondary 2-stage guide grooves and an ultra-thin condensing surface.The performance of the device was verified in terms of cooling,thermal conductivity,condensation and human EBC collection and content analysis.Results Performance analysis showed that after refrigeration began the temperature difference between the condenser surface and the exhaled gas met the requirements of the condenser,and no obvious thermal resistance was found on the condensing surface so that large droplets could be formed rapidly and then be collected after the gas-liquid phase change of the exhaled gas on the condensing surface.Human EBC collection and content analysis indicated the device realized home self-collection of EBCs from people of all ages,and the concentrations of interleukins,C-reactive protein and other inflammation-related indexes and the pH value of the collected EBC samples were all correlated with respiratory infections in the subjects.Conclusion The device developed with easy operation avoids the discomfort of blowing collection and the risk of saliva contamination,and is worthy promoting for rapid diagnosis and dynamic monitoring of respiratory tract infection and other related diseases.[Chinese Medical Equipment Journal,2024,45(8):32-37]
		                        		
		                        		
		                        		
		                        	
8.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.
		                        		
		                        		
		                        		
		                        	
9.The expression of CD24 antigen in multiple myeloma patients and its predictive value after induction therapy
Mengru LIU ; Bin CHU ; Yuan CHEN ; Mengzhen WANG ; Minqiu LU ; Shan GAO ; Lei SHI ; Qiuqing XIANG ; Lijuan FANG ; Qi YAN ; Na JI ; Kai SUN ; Li BAO
Chinese Journal of Laboratory Medicine 2024;47(10):1178-1185
		                        		
		                        			
		                        			Objective:This study analyzed the expression of CD24 antigen on bone marrow plasma cells (BMPC) of patients with multiple myeloma (MM) and the predictive value of induction therapy.Methods:This clinical observational study utilized 258 MM patients samples treated at the Hematology Department of Beijing Jishuitan Hospital who met the inclusion criteria in the Department of Hematology, Capital Medical University, from August 12th, 2022 to February 1st, 2024. According to the different stages of the disease, patients were divided into three groups: 78 cases of Newly Diagnosed Multiple Myeloma(NDMM) (42 males and 36 females, aged 62±11), 56 cases of the relapse refractory group (34 males and 22 females, aged 64±9), and 124 cases of the disease remission group (68 males and 56 females, aged 62±10). Multiparameter flow cytometry (MFC) was used to detect the expression level of CD24 antigen on BMPC and the relationship between CD24 and MM disease status. The clinical data and test results of 78 NDMM patients at initial diagnosis were retrospectively analyzed, including gender, age, MFC detection of the positive expression rate of antigens (CD19, CD20, CD24, CD27, CD56), the results of efficacy evaluation after induction therapy, ISS staging, R-ISS staging, blood hemoglobin, β2-microglobulin, human serum albumin, serum creatinine, lactate dehydrogenas, correction of calcium, BMPC ratio, and the results of FISH. The patients were divided into a deep remission group [including complete remission (CR) and very good partial remission (VGPR)] with 43 cases and a non-deep remission group (non CR and VGPR) with 17 cases according to the difference of antigen positive expression rate after induction therapy. The differences of antigen expression on BMPC between the two groups were compared. Binary logistic regression was used to analyze the relationship between the expression of each antigen and the efficacy after induction therapy in patients, and the results showed that CD24 was more correlated with the achievement of deep remission after induction therapy than other antigens. Therefore, taking the positive expression rate of CD24 in NDMM patients at the initial diagnosis and deep remission after induction therapy as the research objects, the predictive value of CD24 for NDMM patients reaching deep remission after induction therapy was analyzed by using receiver operating characteristic curve (ROC), and the optimal cutoff value was obtained. NDMM was divided into two groups according to the cut-off value, and the differences between the two groups in clinical baseline data and prognostic indicators were compared.Results:The positive rates of plasma cell CD24 expression in the NDMM group, the relapse refractory group and the disease remission group were 2.18 (95% CI 0.08-81.85)%, 3.81 (95% CI 0.10-64.56)%, 8.74 (95% CI 0.79-95.55)% respectively. Compared with the disease remission group, the NDMM and relapse refractory group was lower ( Z=-7.889, -5.282, respectively, P<0.001). Univariate analysis showed that there was a significant difference in the positive expression rate of CD24 at initial diagnosis between the deep remission group and the non-deep remission group ( Z=-3.265, P<0.001), while there was no significant difference in CD19 ( Z=-0.271, P=0.787), CD20 ( Z=-0.205, P=0.837), CD27 ( Z=-0.582, P=0.560), and CD56 ( Z=-0.328, P=0.743) between the two groups. Binary logistic regression analysis showed that compared with other antigens [CD19 ( OR=1.045, 95% CI 0.975-1.120, P=0.217), CD20 ( OR=1.000, 95% CI 0.971-1.030, P=0.976), CD27 ( OR=0.997, 95% CI 0.977-1.016, P=0.734), CD56 ( OR=1.006, 95% CI 0.990-1.006, P=0.449)], the expression of CD24 ( OR=0.423, 95% CI 0.990-1.006, P=0.449) on BMPC in NDMM patients was most closely related to the achievement of deep remission was achieved after induction therapy. The lower the proportion of CD24 at the initial diagnosis was, the lower the probability of achieving deep remission after induction therapy was. The area under the curve (AUC) of CD24 in predicting deep remission after induction therapy was 0.772 (95% CI 0.655-0.889, P=0.001), with a sensitivity of 60.50%, a specificity of 85.00%, and the optimal critical value was 2.21%. Compared with the group with plasma CD24 positive rate>2.21%, the group with plasma CD24 positive rate<2.21% had a higher proportion of male (39.47%vs 65.00%, χ2=5.092, P=0.024), ISS stagingⅢ (41.67% vs 58.33%, χ2=6.175, P=0.046), β2 microglobulin (3.19 mg/L vs 4.14 mg/L, Z=-2.257, P=0.024), and BMPC [(8.672±1.827)% vs (19.530±3.188)%, t=-2.963, P=0.004] detected by MFC, and the differences were statistically significant. Conclusions:The low positive rate of plasma cell CD24 is closely related to the higher tumor burden and the worse disease status of MM patients. In addition, the positive expression rate of CD24 is at initial diagnosis can predict the efficacy achieved after induction therapy, and the lower positive rate of CD24 is, the worse the efficacy achieved after induction therapy. At the same time, MFC detection of CD24 is convenient and efficient in the evaluation and prediction of MM.
		                        		
		                        		
		                        		
		                        	
10.Quality evaluation and multi-spectral identification of origin herbs of Lonicerae Japonicae Flos based on grey correlation-TOPSIS method.
Ji-Jing DONG ; Lu-Ming QI ; Ke WANG ; Yu-Gang DING ; Yun-Tong MA
China Journal of Chinese Materia Medica 2023;48(10):2713-2724
		                        		
		                        			
		                        			The grey correlation-TOPSIS method was used to evaluate the quality of the origin herbs of Lonicerae Japonicae Flos, and the Fourier transform near-infrared(NIR) and mid-infrared(MIR) spectroscopy was applied to establish the identification model of origin herbs of Lonicerae Japonicae Flos by combining chemometrics and spectral fusion strategies. The content of neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, caffeic acid, secoxyloganin, isoquercitrin, isochlorogenic acid B, isochlorogenic acid A, and isochlorogenic acid C in six origin herbs of Lonicerae Japonicae Flos was determined by high-performance liquid chromatography(HPLC), and their quality was evaluated by the grey correlation-TOPSIS method. The Fourier transform NIR and MIR spectra of six origin herbs of Lonicerae Japonicae Flos(Lonicera japonica, L. macranthoides, L. hypoglauca, L. fulvotomentosa, L. confuse, and L. similis) were collected. At the same time, principal component analysis(PCA), support vector machine(SVM), and spectral data fusion technology were combined to determine the optimal identification method for the origin herbs of Lonicerae Japonicae Flos. There were differences in the quality of the origin herbs of Lonicerae Japonicae Flos. Specifically, there were significant differences between L. japonica and the other five origin herbs(P<0.01). The quality of L. similis was significantly different from that of L. fulvotomentosa, L. macranthoides, and L. hypoglauca(P=0.008, 0.027, 0.01), and there were also significant differences in the quality of L. hypoglauca and L. confuse(P=0.001). The PCA and SVM 2D models based on a single spectrum could not be used for the effective identification of the origin herbs of Lonicerae Japonicae Flos. The data fusion combined with the SVM model further improved the identification accuracy, and the identification accuracy of the mid-level data fusion reached 100%. Therefore, the grey correlation-TOPSIS method can be used to evaluate the quality of the origin herbs of Lonicerae Japonicae Flos. Based on the infrared spectral data fusion strategy and SVM chemometric model, it can accurately identify the origin herbs of Lonicerae Japonicae Flos, which can provide a new method for the origin identification of medicinal materials of Lonicerae Japonicae Flos.
		                        		
		                        		
		                        		
		                        			Drugs, Chinese Herbal/chemistry*
		                        			;
		                        		
		                        			Flowers/chemistry*
		                        			;
		                        		
		                        			Quality Control
		                        			;
		                        		
		                        			Lonicera/chemistry*
		                        			;
		                        		
		                        			Chromatography, High Pressure Liquid/methods*
		                        			
		                        		
		                        	
            
Result Analysis
Print
Save
E-mail