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.Clinical features and risk factors of the mortality in hemodialysis patients infected with SARS-CoV-2
Jie LAN ; Hongping GUO ; Guohua ZHEN ; Hongting LIU ; Jing LI ; Lihua WANG
Chinese Journal of Nephrology 2024;40(2):124-130
Objective:To investigate the clinical features of patients with maintenance hemodialysis (MHD) infected with SARS-CoV-2 and analyze the risk factors of death after SARS-CoV-2 infection, and to provide clinical data for early detection of critically ill patients and timely intervention.Methods:It was a cross-sectional investigation study. MHD patients in the hemodialysis centers of four tertiary hospitals with geographical representation in Shanxi province from December 1, 2022 to January 31, 2023 were enrolled, and the demographic data, dialysis-related indicators, laboratory test results and clinical features of SARS-CoV-2 infection were collected by distributing the questionnaires on SARS-CoV-2 infection, and consulting the hospital medical record system and the outpatient hemodialysis information system. SARS-CoV-2-infected patients were divided into survival group and death group according to whether all-cause death occurred and the differences of baseline data between the two groups were compared. Multivariate logistic regression analysis method was used to analyze the risk factors of mortality in MHD patients infected with SARS-CoV-2.Results:A total of 519 MHD patients were included in this study, with 508 patients (97.88%) infected with SARS-CoV-2, 474 patients in the survival group and 34 patients in the death group. The clinical symptoms of MHD patients infected with SARS-CoV-2 were diverse, and the most common initial symptom was fever (314/508, 61.81%). Other initial symptoms included cough and phlegm in 66 patients (12.99%), fatigue in 66 patients (12.99%), poor appetite in 20 patients (3.94%), dyspnea in 20 patients (3.94%), muscle pain in 14 patients (2.76%) and diarrhea in 8 patients (1.57%). Compared with the survival group, the death group had older age ( t=5.229, P<0.001), high proportions of males ( χ2=12.319, P<0.001) and diabetic nephropathy ( χ2=49.423, P<0.001), and lower levels of red blood cells ( t=-5.060, P<0.001), lymphocyte ( t=-2.614, P=0.011), neutrophil ( t=-5.117, P<0.001), serum albumin ( t=-2.940, P=0.012), serum prealbumin ( t=-3.519, P=0.001), blood phosphorus ( t=-3.309, P=0.002), serum creatinine ( Z=-3.607, P<0.001), total triglyceride ( Z=-2.486, P=0.013), total cholesterol ( Z=-3.291, P=0.001) and low-density lipoprotein cholesterol ( Z=-3.292, P=0.001). Among 508 SARS-CoV-2-infected patients, 194 patients (38.19%) were treated with nonsteroidal anti-inflammatory agents, 154 patients (30.31%) were treated with antibiotics, and 98 patients (19.29%) were treated with antiviral drugs. There were 225 (43.29%) vaccinated patients against SARS-CoV-2. Multivariate logistic regression analysis showed that low red blood cells ( OR=0.256, 95% CI 0.014-0.429), low lymphocytes ( OR=0.487, 95% CI 0.193-0.826), low serum albumin ( OR=0.613, 95% CI 0.329-0.917), older age ( OR=1.227, 95% CI 1.066-1.412) and diabetes mellitus ( OR=1.126, 95% CI 1.025-1.235) were the independent influencing factors of all-cause mortality in MHD patients infected with SARS-CoV-2. Conclusions:The clinical manifestations of SARS-CoV-2 infection in MHD patients are varied. Low red blood cells, low lymphocytes, low serum albumin, elder age and diabetes mellitus are the independent risk factors of death after SARS-CoV-2 infection in MHD patients. Strengthening management of MHD patients especially in the elderly, and improving and correcting anemia and malnutrition in time, may reduce the death risk of SARS-CoV-2 infection in MHD patients.
5.Hepatitis C virus infection:surveillance report from China Healthcare-as-sociated Infection Surveillance System in 2020
Xi-Mao WEN ; Nan REN ; Fu-Qin LI ; Rong ZHAN ; Xu FANG ; Qing-Lan MENG ; Huai YANG ; Wei-Guang LI ; Ding LIU ; Feng-Ling GUO ; Shu-Ming XIANYU ; Xiao-Quan LAI ; Chong-Jie PANG ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(1):1-8
Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93%and a HCV positive rate of 0.54%.The positive rate of HCV in male and female patients were 0.60%and 0.48%,respectively,with a statistically sig-nificant difference(x2=47.18,P<0.001).The HCV positive rate in the 50-<60 age group was the highest(0.76%),followed by the 40-<50 age group(0.71%).Difference among all age groups was statistically signifi-cant(x2=696.74,P<0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57%;775 patients were infected with HCV,with a positive rate of 2.21%.In 2020,HCV positive rates in hospitals of different scales were 0.46%-0.63%,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P<0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19%-0.81%,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06%-0.82%,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95%and 3.48%,respectively.Followed by departments of orthopedics(7.72%),gastroenterology(3.77%),nephrology(3.57%)and general intensive care unit(ICU,3.10%)in 2003,as well as departments of gastroenterology(1.35%),nephrology(1.18%),endocrinology(0.91%),and general intensive care unit(ICU,0.79%)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.
6.Two new isocoumarins from cave-derived Metarhizium anisopliae NHC-M3-2
Rong-xiang WU ; Jie-lan GUO ; Hua HUANG ; Jing-jing LIAO ; Yi HAO ; Fan-dong KONG ; Li-man ZHOU ; Chao-jun ZHANG
Acta Pharmaceutica Sinica 2024;59(9):2588-2593
Extracting extracts of secondary metabolites from the karst cave fungus
7.The effect and mechanism of Lycium barbarum leaves on D -galactose-induced cataract in rats based on metabolomics
Cong LU ; Shu-lan SU ; Yue ZHU ; Sheng GUO ; Da-wei QIAN ; Hong-jie KANG ; Lan-ping GUO ; Jin-ao DUAN
Acta Pharmaceutica Sinica 2024;59(9):2594-2605
Evaluate the interventional effect of
8.The intervention effect of Lycium barbarum leaves on letrozole-induced PCOS mice based on microbiome
Xin-yue ZHANG ; Cong LU ; Hui-li ZHENG ; Shu-lan SU ; Yue ZHU ; Sheng GUO ; Da-wei QIAN ; Hong-jie KANG ; Jin-ao DUAN
Acta Pharmaceutica Sinica 2024;59(7):2030-2040
The purpose of this study was to investigate the intervention effect and mechanism of
9.Effect of knockdown of ARHGAP30 on proliferation and apoptosis of Siha cells
Ya-Ting PENG ; Duan LIU ; Jie MENG ; Wen-Chao LI ; Hui-Qi LI ; Hua GUO ; Mei-Lan NIU ; Qiao-Hong QIN
Chinese Pharmacological Bulletin 2024;40(5):847-853
Aim To investigate the changes in the proliferation and apoptosis of Siha cells after knocking down Rho GTPase-activating protein 30(ARHGAP30).Methods After designing specific shARHGAP30 primers and connecting them to the pLKO.1 vector,we transformed them into Escherichia coli competent cells,then co-transfecting them with lentiviral helper plasmids into HEK-293T cells.We collected and filtered cell supernatant to obtain the vi-rus to infect Siha cells.RT-qPCR and Western blot were used to detect knockdown efficiency,as well as changes in the expression of Bax and Bcl-2 after trans-fection.The CCK-8 method was employed to measure the proliferation level of cells after knockdown.Results After successful construction of a lentiviral plasmid with knockdown of the ARHGAP30 gene and establish-ment of stably transfected Siha cells,ARHGAP30 tran-scription and translation(P<0.01)in Siha cells de-creased,Bax/Bcl-2 significantly decreased(P<0.01),indicating decreased apoptosis and increased cell proliferation(P<0.01).Conclusions This study suggests the involvement of ARHGAP30 in the proliferation and apoptosis of Siha cells,and regulating the ARHGAP30 gene may interfere with the occurrence and development of cervical cancer.
10.The protective effect of Jujing formula on tretina of mice with dry age-related macular degeneration
Cheng-Cheng QI ; Ruo-Ying FAN ; Xue-Sen WANG ; Shu-Lan SU ; Yue ZHU ; Sheng GUO ; Hong-Jie KANG ; Xue-Yi ZHOU ; Jin-Ao DUAN
Chinese Pharmacological Bulletin 2024;40(7):1358-1367
Aim To investigate the protective effect of Jujing formula on retina of mice with dry age-related macular degeneration(AMD).Methods The mouse model of dry AMD was induced by intraperitoneal in-jection of sodium iodate,and the prognosis was given to the Jujing formula.Retinal thickness was detected by optical coherence tomography(OCT),the retinal morphological changes were observed by hematoxylin-eosin(HE)staining,and the apoptosis of retinal cells was detected by in situ terminal transferase labeling(TUNEL)staining.Combination of tumor necrosis fac-tor-α(TNF-α),interleukin-6(IL-6)and interleukin-1β(IL-1 β)in eyeballs and serum,superoxide dis-mutase(SOD),glutathione(GSH)and malondialde-hyde(MDA)were evaluated to assess the protective effects of Jujing formula on retinal injury in mice with dry AMD.Results The results of OCT,HE and TUNEL staining showed that Jujing formula significant-ly improved the retinal injury induced by sodium iodate in mice with dry AMD,increased the retinal thickness(P<0.05),reduced the apoptosis of retinal cells(P<0.01),and increased the levels of GSH,IL-6 and SOD activity in eyeballs and serum(P<0.01).The levels of TNF-α,IL-6,IL-1β and MDA were reduced(P<0.01).Conclusions Jujing formula has certain therapeutic effects on retinal injury in dry AMD,which may be related to inhibiting inflammatory response and enhancing antioxidant capacity.

Result Analysis
Print
Save
E-mail