1.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
Background:
s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model.
Methods:
Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort.
Results:
In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM).
Conclusions
Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.
2.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
Background:
s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model.
Methods:
Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort.
Results:
In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM).
Conclusions
Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.
3.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
Background:
s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model.
Methods:
Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort.
Results:
In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM).
Conclusions
Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.
4.Ameliorative effect and mechanism of photobiomodulation on cognitive dysfunction caused by chronic stress
Huafeng DONG ; Bing LIU ; Xiaobing CHEN ; Weiwei LIU ; Fang XIE ; Yun ZHAO ; Zhaowei SUN ; Xue WANG ; Lingjia QIAN
Military Medical Sciences 2025;49(9):647-654
Objective To find out whether photobiomodulation(PBM)can mitigate cognitive dysfunction caused by chronic stress by affecting levels of adenosine triphosphate(ATP)and adenosine receptors.Methods Twenty-four C57BL/6J mice were randomly divided into a control group,a stress group,and a treatment group.Chronic unpredictable mild stress was used to establish a mouse model of stress.Six weeks into modeling,the treatment group was subjected to one week of PBM interventions.Behavioral tests were conducted to observe behavioral changes in the mice.Western blotting(WB)was used to detect the expressions of A1,A2B,and A3 adenosine receptors in the hippocampus and prefrontal cortex of mice in the three groups.Twelve C57BL/6J mice were randomly divided into a control group and an intervention group.The intervention group received a week of PBM interventions and underwent behavioral testing.WB was used to detect the expression changes of A1,A2B,and A3 adenosine receptors in the hippocampus and prefrontal cortex in both groups.Immunofluorescence assay was adopted to detect the expression of c-Fos in the hippocampus of mice in the two groups.The ATP assay kit made by Beyotime Biotechnology Co.,Ltd.was used to measure changes in ATP contents in the hippocampus and prefrontal cortex tissues of mice.Cell experiments were conducted to verify the effect of PBM on intracellular ATP contents.Results Mice in the stress group covered a similar distance to the control group,but finished far fewer platform crossings.There was no significant difference between the treatment group and the control group in the number of times of platform crossings,but compared favorably with the stress group where the levels of adenosine receptors in the hippocampus and prefrontal cortex were lower,but were increased by PBM.After PBM interventions in normal mice,platform crossings were increased significantly compared to the control group.PBM also raised adenosine receptor levels and ATP contents in the hippocampus and prefrontal cortex,and increased hippocampal c-Fos expressions.In vitro,PBM elevated intracellular ATP levels.Conclusion PBM may improve chronic stress-induced cognitive dysfunction by regulating ATP levels and adenosine receptor expressions,thereby modulating neuronal responsiveness in the hippocampus.
5.MoS2 nanozyme attenuated inflammation-related endothelial cell injury by regulating mitochondrial dynamics and mitophagy
Dong-mei PAN ; Sun-kui KE ; Qian-hao YIN ; Pei-yan YANG ; Chao LI ; She-fang YE
Acta Pharmaceutica Sinica 2024;59(10):2791-2799
To explore the protective mechanisms of a novel molybdenum disulfide (MoS2) nanozyme in alleviating inflammation-related endothelial cell injury by regulating mitochondrial dynamic, flower like-MoS2 nanosheets were prepared by hydrothermal method, and its antioxidant enzyme-mimic activities were assessed
6.Characterization and phylogenetic analysis of the complete chloroplast genome of Salvia apiana Jepson
Zhen-xi FANG ; Qian JI ; Jia-dong HU ; Wan-sheng CHEN ; Qing LI
Acta Pharmaceutica Sinica 2024;59(5):1484-1493
italic>Salvia apiana Jepson, commonly known as white sage, is a perennial sub-shrub of the
7.Dietary assessment of patients with chronic kidney disease
Hui HUANG ; Qian WANG ; Ya-Yong LUO ; Zheng-Chun TANG ; Fang LIU ; Rui-Min ZHANG ; Zhe-Yi DONG ; Xiang-Mei CHEN
Medical Journal of Chinese People's Liberation Army 2024;49(8):946-951
Chronic kidney disease(CKD)commonly used dietary assessments including 24-hour dietary recall(24 h DR)/3-day dietary recall(3DDR),food frequency questionnaire(FFQ),dietary records,and estimation of dietary protein intake based on nitrogen balance.Given the high prevalence of CKD patients in Asian population and the scarcity of research using FFQ method,it is crucial to develop an FFQ suitable for Chinese CKD patients.This review summarizes the advantages and disadvantages of dietary assessment methods for CKD,the current research status,and the content and steps involved in establishing an FFQ,with the aim of providing reference for the modification of FFQ for Chinese CKD patients.
8.Long non-coding RNA MALAT1 regulates astrocyte proliferation and apoptosis and affects MAPK/ERK1,2 signaling pathway
Hui HU ; Xue WANG ; Yuhan WU ; Huafeng DONG ; Ling ZHANG ; Aijun WEI ; Fang XIE ; Yun ZHAO ; Zhaowei SUN ; Lingjia QIAN
Military Medical Sciences 2024;48(5):347-354
Objective To investigate the effect of MALAT1 expressions on cell proliferation and apoptosis in astrocytes by regulating mitogen-activated protein kinase(MAPK)/extracellular signal-regulated kinase(ERK1,2)pathway.Methods The MALAT1 gene was knocked down and over-expressed in C8-D1A cells by lentiviral and plasmid vectors,respectively.The expressions of MALAT1,cell proliferation-related markers(Ki67,MCM2,PCNA)and apoptosis-related proteins(Caspase-3,Bax,Bcl-2)were detected by quantitative real-time polymerase chain reaction(qPCR).CCK-8 assay and flow cytometry were used for cell proliferation and apoptosis in C8-D1A cells.Immunofluorescence was adopted to detect the protein expressions of Caspase-3 and Ki67.Western blotting was used to detect the protein expressions of Caspase-3,Bax,Bcl-2,ERK1/2,p-ERK1/2,p38MAPK and p-p38MAPK.Results Compared with the control group,over-expressed MALAT1 inhibited cell proliferation and induced cell apoptosis in C8-D1A cells while the knockdown of MALAT1 significantly enhanced cell proliferation and anti-apoptotic ability in C8-D1A cells.The proportion of C8-D1A cells in G0/G1-phase and G2/M-phase was higher than in the control group as evidenced by flow cytometry,but was lower in S-phase.Meanwhile,data showed that Caspase-3 was increased while p-ERK1/2 was decreased in terms of protein levels.The mRNA expressions of Ki67 and PCNA were decreased.After knockdown of MALAT1,the proportion of C8-D1A cells in S-phase was higher,but was lower in G2/M-phase.The protein expressions of Caspase-3 and Bax decreased while those of p-ERK1/2 and p-p38MAPK increased.The mRNA expressions of Ki67,MCM2 and PCNA were increased.The differences were all statistically significant(P<0.05).Conclusion MALAT1 promotes astrocyte apoptosis and inhibits proliferation by regulating the MAPK/ERK1,2 signaling pathway.
9.Early symptom network analysis of patients after transfer from intensive care unit
Ran DONG ; Qian YU ; Rui TAI ; Fu YANG ; Fang FANG
Journal of Shanghai Jiaotong University(Medical Science) 2024;44(6):733-740
Objective·To establish the early symptom network of adult intensive care unit(ICU)patients after transfer(post-ICU patients),identify the core symptoms and bridge symptoms,compare the symptom networks of two subgroups,i.e.mixed ICU and coronary care unit(CCU),and analyze the occurrence of symptoms.Methods·From December 2022 to August 2023,a total of 328 adult patients transferred to wards from mixed ICU and CCU of Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine were selected by convenience sampling.The general situation and clinical data questionnaire,and symptom questionnaires(including Hospital Anxiety and Depression Scale,Fatigue Severity Scale,Richards-Campbell Sleep Questionnaire,and Pain Numeric Rating Scale)were used.Based on Spearman correlation analysis and GLASSO algorithm,contemporaneous symptom network was built,and centrality indices and differences between subgroup symptom networks were computed.The edge accuracy and the stability of centrality indices of the network were tested.Results·A total of 302 valid questionnaires were collected,and the effective rate was 92.1%.The results of the centrality indices computations showed that in the early symptom network of post-ICU patients,the highest strength was"feel cheerful"(rs=1.145),the highest closeness was"enjoy something"(rC=1.851×10-3),and the highest expected influence was"(fatigue)interferes with physical function"(rE=1.143).The top three highest bridge strengths of symptoms were"worrying thoughts"(rb=10.392),"enjoy something"(rb=10.359),and pain(rb=10.221).There were no significant differences in network structure(M=0.289)and overall connection strength(GSmixedICU=13.876,GSCCU=13.838;S=0.039)of the early symptom networks between mixed ICU and CCU patients after being transferred to wards.When comparing the centrality indices,apart from the strength and expected influence of five symptoms showing statistically significant differences(all P<0.05),other indices were not significantly different.The edge accuracy and the stability of centrality indices in the early symptom network of post-ICU patients were fine.Conclusion·Anxiety and depression are the core symptoms of adult post-ICU patients,and pain is one of the bridge symptoms.There is no significant difference in the incidence of early symptoms between mixed ICU and CCU patients after being transferred out.Medical care personnel should pay attention to the discomfort symptoms of post-ICU patients,and carry out targeted interventions to improve patients'comfort and promote the rehabilitation process.
10.Construction of regional digitalized management model for venous thromboembolism prevention and control
Yehua DONG ; Xin FANG ; Wei ZHANG ; Yu QIAN ; Jing ZHANG
Modern Hospital 2024;24(8):1265-1268,1273
Objective This study aims to establish a regional digitalized venous thromboembolism(VTE)prevention and control model with the support of the VTE Quality Control Center in Hangzhou to enhance the standardized prevention and re-gional treatment level.Methods The research was carried out from four aspects:constructing organizational structure,formula-ting implementation standards,promoting operational mechanisms,and building intelligent supervision platforms.A statistical a-nalysis was conducted to the data on the intelligent supervision platforms of three medical institutions.Results From January 2022 to June 2023,the VTE risk assessment of inpatients in the three medical institutions gradually became standardized,with an assessment rate exceeding 93%.The rates of VTE risk assessment within 24 hours of admission,dynamic assessment of VTE,and the proportion of VTE with moderate to high risk all showed significantly increasing trends.The standardized prevention rate of VTE remained around 60%.The incidence of relevant VTE within the hospital decreased from 1.82%to 0.41%,with a de-crease rate of over 70%.Conclusion The regional digitalized VTE prevention and control management model contributes to im-proving the standardized prevention and treatment level of VTE and reducing the incidence of hospital-related VTE in the region.

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