1.Optineurin restrains CCR7 degradation to guide type II collagen-stimulated dendritic cell migration in rheumatoid arthritis.
Wenxiang HONG ; Hongbo MA ; Zhaoxu YANG ; Jiaying WANG ; Bowen PENG ; Longling WANG ; Yiwen DU ; Lijun YANG ; Lijiang ZHANG ; Zhibin LI ; Han HUANG ; Difeng ZHU ; Bo YANG ; Qiaojun HE ; Jiajia WANG ; Qinjie WENG
Acta Pharmaceutica Sinica B 2025;15(3):1626-1642
Dendritic cells (DCs) serve as the primary antigen-presenting cells in autoimmune diseases, like rheumatoid arthritis (RA), and exhibit distinct signaling profiles due to antigenic diversity. Type II collagen (CII) has been recognized as an RA-specific antigen; however, little is known about CII-stimulated DCs, limiting the development of RA-specific therapeutic interventions. In this study, we show that CII-stimulated DCs display a preferential gene expression profile associated with migration, offering a new perspective for targeting DC migration in RA treatment. Then, saikosaponin D (SSD) was identified as a compound capable of blocking CII-induced DC migration and effectively ameliorating arthritis. Optineurin (OPTN) is further revealed as a potential SSD target, with Optn deletion impairing CII-pulsed DC migration without affecting maturation. Function analyses uncover that OPTN prevents the proteasomal transport and ubiquitin-dependent degradation of C-C chemokine receptor 7 (CCR7), a pivotal chemokine receptor in DC migration. Optn-deficient DCs exhibit reduced CCR7 expression, leading to slower migration in CII-surrounded environment, thus alleviating arthritis progression. Our findings underscore the significance of antigen-specific DC activation in RA and suggest OPTN is a crucial regulator of CII-specific DC migration. OPTN emerges as a promising drug target for RA, potentially offering significant value for the therapeutic management of RA.
2.RXRα modulates hepatic stellate cell activation and liver fibrosis by targeting CaMKKβ-AMPKα axis.
Lijun CAI ; Meimei YIN ; Shuangzhou PENG ; Fen LIN ; Liangliang LAI ; Xindao ZHANG ; Lei XIE ; Chuanying WANG ; Huiying ZHOU ; Yunfeng ZHAN ; Gulimiran ALITONGBIEKE ; Baohuan LIAN ; Zhibin SU ; Tenghui LIU ; Yuqi ZHOU ; Zongxi LI ; Xiaohui CHEN ; Qi ZHAO ; Ting DENG ; Lulu CHEN ; Jingwei SU ; Luoyan SHENG ; Ying SU ; Ling-Juan ZHANG ; Fu-Quan JIANG ; Xiao-Kun ZHANG
Acta Pharmaceutica Sinica B 2025;15(7):3611-3631
Hepatic stellate cells (HSCs) are the primary fibrogenic cells in the liver, and their activation plays a crucial role in the development and progression of hepatic fibrosis. Here, we report that retinoid X receptor-alpha (RXRα), a unique member of the nuclear receptor superfamily, is a key modulator of HSC activation and liver fibrosis. RXRα exerts its effects by modulating calcium/calmodulin-dependent protein kinase kinase β (CaMKKβ)-mediated activation of AMP-activated protein kinase-alpha (AMPKα). In addition, we demonstrate that K-80003, which binds RXRα by a unique mechanism, effectively suppresses HSC activation, proliferation, and migration, thereby inhibiting liver fibrosis in the CCl4 and amylin liver NASH (AMLN) diet animal models. The effect is mediated by AMPKα activation, promoting mitophagy in HSCs. Mechanistically, K-80003 activates AMPKα by inducing RXRα to form condensates with CaMKKβ and AMPKα via a two-phase process. The formation of RXRα condensates is driven by its N-terminal intrinsic disorder region and requires phosphorylation by CaMKKβ. Our results reveal a crucial role of RXRα in liver fibrosis regulation through modulating mitochondrial activities in HSCs. Furthermore, they suggest that K-80003 and related RXRα modulators hold promise as therapeutic agents for fibrosis-related diseases.
3.Epidemiological characteristics of human respiratory syncytial virus in patients with severe acute respiratory infection in Tianjin City from 2015 to 2020
Cheng SU ; Jie YANG ; Fangzhe YAN ; Lin LI ; Zhibin PENG ; Ying ZHANG
Chinese Journal of Preventive Medicine 2024;58(8):1124-1128
Objective:To investigate the epidemiological characteristics of human respiratory syncytial virus (HRSV) in patients with Severe Acute Respiratory Infection (SARI) in Tianjin from 2015 to 2020.Methods:The study data were obtained from the Third Center Hospital of Tianjin, a designated sentinel hospital, from 2015 to 2020, with 1 597 SARI patients enrolled in this study. The clinical specimens of the research participants were subjected to respiratory multi-pathogen testing. HRSV-positive specimens were subtyped to analyze the differences in HRSV detection rates among cases of different age groups and periods and their mixed infection situations.Results:A total of 1 597 nasopharyngeal swabs were collected, with an HRSV detection rate of 4.20%. Among 67 HRSV-positive specimens, there were 19 pure HRSV-A nucleic acid-positive specimens, 19 pure HRSV-B nucleic acid-positive specimens and 29 mixed HRSV-A and HRSV-B nucleic acid-positive specimens. The difference in HRSV detection rate among different age groups was statistically significant ( P<0.05), and the HRSV detection rate in children under five years old was higher than that in other age groups. From 2016 to 2020, the detection rate of HRSV showed an increasing trend year by year. The HRSV detection rate of SARI cases was highest in the winter season, at 7.15%. There were 10 (14.93%) mixed positive cases for HRSV and other viruses, of which four were mixed positive for HRSV and influenza A. Conclusion:The incidence of HRSV in Tianjin exhibits an increasing trend from 2016 to 2020, peaking during the winter season, with children under five years old constituting a high-risk demographic for HRSV infection.
4.Epidemiological characteristics of human respiratory syncytial virus in patients with severe acute respiratory infection in Tianjin City from 2015 to 2020
Cheng SU ; Jie YANG ; Fangzhe YAN ; Lin LI ; Zhibin PENG ; Ying ZHANG
Chinese Journal of Preventive Medicine 2024;58(8):1124-1128
Objective:To investigate the epidemiological characteristics of human respiratory syncytial virus (HRSV) in patients with Severe Acute Respiratory Infection (SARI) in Tianjin from 2015 to 2020.Methods:The study data were obtained from the Third Center Hospital of Tianjin, a designated sentinel hospital, from 2015 to 2020, with 1 597 SARI patients enrolled in this study. The clinical specimens of the research participants were subjected to respiratory multi-pathogen testing. HRSV-positive specimens were subtyped to analyze the differences in HRSV detection rates among cases of different age groups and periods and their mixed infection situations.Results:A total of 1 597 nasopharyngeal swabs were collected, with an HRSV detection rate of 4.20%. Among 67 HRSV-positive specimens, there were 19 pure HRSV-A nucleic acid-positive specimens, 19 pure HRSV-B nucleic acid-positive specimens and 29 mixed HRSV-A and HRSV-B nucleic acid-positive specimens. The difference in HRSV detection rate among different age groups was statistically significant ( P<0.05), and the HRSV detection rate in children under five years old was higher than that in other age groups. From 2016 to 2020, the detection rate of HRSV showed an increasing trend year by year. The HRSV detection rate of SARI cases was highest in the winter season, at 7.15%. There were 10 (14.93%) mixed positive cases for HRSV and other viruses, of which four were mixed positive for HRSV and influenza A. Conclusion:The incidence of HRSV in Tianjin exhibits an increasing trend from 2016 to 2020, peaking during the winter season, with children under five years old constituting a high-risk demographic for HRSV infection.
5.Summary of key viral respiratory infectious diseases surveillance in some countries and regions in the world
Ting HU ; Zhibin PENG ; Yanping ZHANG
Chinese Journal of Epidemiology 2024;45(2):300-304
Respiratory virus infections spread quickly, and some diseases are even more likely to cause a global epidemic. In order to explore how better to carry out surveillance of viral respiratory infectious diseases, the author searched the surveillance situation of key viral respiratory infectious diseases in America, Europe, and China, et al., then put forward several suggestions such as strengthening application of information technology, broaden monitoring channels, building early monitoring and early warning mechanisms.
6.Theoretical models for influenza vaccination behavior at the individual level
Kai QU ; Yulu MIAO ; Simeng FAN ; Yanzhe LIU ; Xiaokun YANG ; Hongting ZHAO ; Ying QIN ; Jiandong ZHENG ; Yanping ZHANG ; Zhibin PENG ; Zijian FENG
Chinese Journal of Epidemiology 2024;45(4):608-614
Influenza imposes a significant disease burden on society and individuals annually, and influenza vaccination is considered a significant public health measure to prevent influenza and reduce influenza-related severe disease and death. The low influenza vaccination rate in China is partly due to certain factors affecting the willingness and behavior of individuals to receive them. Scientific research and targeted interventions on these factors can effectively improve the vaccination situation. Commonly used individual-level theoretical models for influenza vaccination behavior include the health belief model, protection motivation theory, and theory of planned behavior. This study reviews theoretical models commonly employed in researching influenza vaccination willingness and behavior. An overview of these practical applications and challenges models is presented to provide references for relevant research and intervention programs in China.
7.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.
8.Effect and Mechanism of M-CSF on Cardiac Function after Acute Myocardial Infarction in Mice by Regulating Cardiac Macrophages
Shudi ZHANG ; Qingyan ZHAO ; Zhibin PENG
Journal of Medical Research 2024;53(8):42-47
Objective To investigate the effect and mechanism of macrophage colony stimulating factor(M-CSF)on myocardial function after acute myocardial infarction(AMI)in mice by regulating cardiac macrophages.Methods Fifty C57mice were randomly di-vided into Sham Group(n=10,sham operation group),MI Group(n=20,AMI model was prepared,and normal saline was injected in-traderitoneally)and MM Group { n=20,AMI model was prepared,and M-CSF reagent[500μg/(kg·d)]was injected intraderitoneal-ly}.At the end of the experiment,after completing a cardiac ultrasound,the myocardial tissue was collected,interleukin-4(IL-4),interleukin-6(IL-6),monocyte ehemoattractant protein-1(MCP-1),tumor necrosis factor-α(TNF-α),interleukin-10(IL-10),interferon-α(IFN-α),atrial natriuretic peptide(ANP),brain natriuretic peptide(BNP),Collagen Ⅰ and Collagen Ⅲ were detected by enzyme-linked immunosorbent assay(ELISA),the apoptosis-related proteins Bax,C-caspase-3,caspase-3,nuclear transcription facter(NF)-κB p65,transduction and activator of transcription 3(STAT3),transduction and activator of transcription 6(STAT6)were detected by Western blot assay,and the neovascularization markers in MI peripheral area were determined by immunohis-tochemistry,the expression levels of M1-type macrophages and M2-type macrophages were detected by flow cytometry.Results The left ventricular size and left ventricular ejection fraction(LVEF)were significantly improved in MM Group when compared with the MI Group,and the indexex of myocardial inflammation,hypertrophy,apoptosis,and fibrosis decreased significantly(P<0.05).The expres-sion of neovascularization mardker CD31 was significantly up-regulated in MM Group.The expression of M2macrophage in MM group was significantly higher than when compared with the MI group,while the level of M1 macrophage was lower(P<0.05).The expression of NF-κB p65 in MI group was statistically higher than that in the Sham group and MM group,while the levels of STAT3 and STAT6 were higher in the MM group than in the MI group(P<0.05).Conclusion M-CSF can inhibit inflammatory response,reduce myo-cardial fibrosis,hypertrophy and apoptosis,promote angiogenesis,inhibit M1-type macrophages and up-regulate the expression of M2-type macrophages to promote myocardial tissue repair and improve ventricular structural remodeling,in which NF-κB/STAT signa-ling pathway plays an important role.
9.The predictive value of preoperative lymphocyte-to-monocyte ratio combined with platelet-to-lymphocyte ratio scoring model for prognosis of pancreatic ductal adenocarcinoma after radical resection
Xudong LIU ; Yunsheng WANG ; Peng DU ; Bin ZHAO ; Guoqiang ZHANG ; Qiang ZHENG ; Jiamin LAI ; Zhibin CHENG
Chinese Journal of Digestive Surgery 2023;22(11):1351-1360
Objective:To investigate the predictive value of preoperative lymphocyte-to-monocyte ratio (LMR) combined with platelet-to-lymphocyte ratio (PLR) (LMR-PLR) scoring model for prognosis of pancreatic ductal adenocarcinoma (PDAC) after radical resection.Methods:The retrospective cohort study was conducted. The clinicopathological data of 116 patients with PDAC who were admitted to the Second Hospital of Lanzhou University from January 2015 to December 2019 were collected. There were 73 males and 43 females, aged 61.5(range, 29.0-75.0)years. All patients underwent radical resection for PDAC. Observation indicators: (1) optimal cut-off value of LMR and PLR; (2) clinicopathological features of patients with different scores of preoperative LMR-PLR scoring model; (3) follow-up and survival; (4) influencing factors for prognosis of PDAC patients; (5) construction and verification of nomogram prediction model. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Mann-Whitney U test. The Graphpad prism 8 was used to draw survival curve, the Kaplan-Meier method was used to calculate survival rate, and the Log-Rank test was used for survival analysis. The COX proportional hazard regression model was used for univariate and multivariate analyses. The X-tile software was used to determine the optimal cut-off values of LMR and PLR. The nomogram prediction model was conducted based on the results of multivariate analysis, and the receiver operating characteristic (ROC) curve was drawn. The area under curve (AUC) was used to evaluate the discrimination of nomogram prediction model. The calibration curve was used to evaluate the consistency of nomogram prediction model and the decision curve was used to evaluate the clinical benefits. Results:(1) Optimal cut-off value of LMR and PLR. The optimal cut-off values of LMR and PLR were 1.9 and 156.3. (2) Clinicopathological features of patients with different scores of preoperative LMR-PLR scoring model. Cases with LMR-PLR scoring as 0, 1, 2 were 11, 42, 63. Cases with CA125 <12.4 U/mL, cases postoperative with vascular invasion, cases with postoperative chemotherapy in patients with 0, 1, 2 of LMR-PLR scoring were 1, 8, 24, 9, 27, 27, 3, 26, 43, showing significant differences among them ( χ2=6.73, 8.37, 6.68, P<0.05). (3) Follow-up and survival. All 116 patients were followed up for 39(range, 2-86)months. The 1-, 2-, 3-year survival rate of 116 PDAC patients was 50.9%, 37.9%, 19.3%, respectively, with a survival time of 13(range, 1-85)months. The survival time of patients with LMR-PLR scoring as 0, 1, 2 was 3(range, 1-9)months, 7(range, 2-56)months, 26(range, 2-85)months, respectively, showing a significant difference among them ( χ2=48.78, P<0.05). (4) Influencing factors for prognosis of PDAC patients. Results of multivariate analysis showed that carcinoembryonic antigen (CEA), CA19-9, LMR-PLR score, tumor diameter were independent factors affecting prognosis of patients ( hazard ratio=1.61, 1.88, 0.27, 1.87, 95% confidence interval as 1.02-2.54, 1.18-3.00, 0.19-0.39, 1.13-3.09, P<0.05). (5) Construction and verification of nomogram prediction model. The nomogram prediction model was constructed based on CEA, CA19-9, LMR-PLR score and tumor diameter. The AUC of ROC curve in predicting 1-, 2-, 3-year survival rate of patients was 0.86 (95% confidence interval as 0.79-0.93, P<0.05), 0.86 (95% confidence interval as 0.79-0.92, P<0.05), 0.87 (95% confidence interval as 0.78-0.95, P<0.05), respectively. Results of calibration curve showed that the predicted survival rate of nomogram prediction model was consistent with the actual survival rate, with the consistency index as 0.74. Results of decision curve showed that the predictive performance of nomogram prediction model was superior to that of a single factor at a risk threshold of 0.12-0.85. Conclusions:CEA, CA19-9, LMR-PLR score, tumor diameter are independent factors affecting prognosis of patients undergoing radical resection for PDAC, and the nomogram prediction model can predict postoperative survival rate. The predicted survival rate of nomogram prediction model is consistent with the actual survival rate, and the predictive performance of nomogram prediction model is superior to that of a single factor at a risk threshold of 0.12-0.85.
10.HBV infection among blood donors from 18 domestic blood stations of prefecture-level cities
Dingding WANG ; Youhua SHEN ; Jianling ZHONG ; Hui ZHANG ; Zhibin TIAN ; Lin BAO ; Huixia ZHAO ; Jian ZHANG ; Peng WANG ; Yanqin HE ; Wei ZHANG ; Li LI ; Hao LI ; Dexu CHU ; Ying WANG ; Xin ZHANG ; Shouguang XU ; Min HUANG ; Yan QIU
Chinese Journal of Blood Transfusion 2023;36(2):172-176
【Objective】 To analyze the hepatitis B virus (HBV) infection data of blood donors from 18 domestic blood stations, so as to investigate the HBV infection situation of blood donors. 【Methods】 The positive rate of HBV and its distribution characteristics of regions, the percentage of HBsAg+ ELISA in first-time vs repeated blood donors, and the percentage of HBsAg-/HBV DNA+ blood donors of 18 domestic blood stations during 2017 to 2020 were collected from the Working Platform for Practice Comparison of Blood Centers, and the HBV infection among blood donors were statistically analyzed. 【Results】 From 2017 to 2020, the positive rate of HBV in blood donors among 18 domestic blood stations was 13.48/10 000-144.02/10 000, with the average HBV positive rate in eastern, central and western region at 26.14/10 000, 51.98/10 000 and 41.00/10 000, respectively. The HBsAg+ rate by ELISA among first-time and repeated blood donors was 14.55/10 000-305.39/10 000 vs 1.04/10 000-87.43/10 000 The HBsAg-/HBV DNA+ yield was 1.80/10 000-35.31/10 000. 【Conclusion】 The distribution of HBV infection in blood donors has regional characteristics, and HBV prevalence was low in repeated blood donors. HBsAg ELISA combined with HBV DNA detection can better ensure blood safety.

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