1.Clinical features of chronic hepatitis C patients with genotype 3 infection:A multicenter retrospective cohort study
Jingyi XIE ; Yujia JING ; Yishan LIU ; Manling BAI ; Zhangqian CHEN ; Qiang XU ; Hong DU ; Yuxiu MA ; Liting ZHANG ; Shanshan ZHU ; Xiaoqin GAO ; Xinggang BAI ; Guoying YU ; Jianqi LIAN ; Xiaozhong WANG ; Yongping ZHANG ; Jiuping WANG ; Fanpu JI ; Jianjun FU ; Ning GAO
Journal of Clinical Hepatology 2025;41(8):1533-1540
Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.
2.Clinical features of chronic hepatitis C patients with genotype 3 infection:A multicenter retrospective cohort study
Jingyi XIE ; Yujia JING ; Yishan LIU ; Manling BAI ; Zhangqian CHEN ; Qiang XU ; Hong DU ; Yuxiu MA ; Liting ZHANG ; Shanshan ZHU ; Xiaoqin GAO ; Xinggang BAI ; Guoying YU ; Jianqi LIAN ; Xiaozhong WANG ; Yongping ZHANG ; Jiuping WANG ; Fanpu JI ; Jianjun FU ; Ning GAO
Journal of Clinical Hepatology 2025;41(8):1533-1540
Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.
3.Correlations of serum Apelin-13 and fatty acid binding protein 4 levels with postmenopausal osteoporosis
Manling XU ; Jingbo ZHU ; Kaiwen YU ; Ling CHEN ; Huaying FAN ; Qingtao FAN ; Qiuping WANG ; Yan LU
Journal of Clinical Medicine in Practice 2024;28(11):73-78
Objective To investigate the correlations of serum Apelin-13 and fatty acid binding protein 4 (FABP4) levels with metabolic and bone metabolic indicators in postmenopausal women with different bone mass. Methods A total of 145 postmenopausal women were selected as subjects and divided into three groups based on bone mineral density (BMD) test results: normal bone mass group(49 cases), osteopenia (ON) group(51 cases), and osteoporosis (OP) group(45 cases). Serum Apelin-13, FABP4 levels, bone metabolic indicators, and biochemical indicators were measured and compared among the three groups. Spearman correlation analysis was used to analyze the correlations of Apelin-13, FABP4, and other indicators with BMD. Multivariate Logistic regression analysis was performed to analyze the risk factors for OP, and the receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of serum Apelin-13 for postmenopausal osteoporosis (PMOP). Results The serum Apelin-13 level in the OP group was lower than that in the ON group and the normal bone mass group (
4.Screening of interacting proteins of idiopathic gonadotropin-releasing hormone deficiency pathogenic gene RNF216.
Wenting DAI ; Zuiming JIANG ; Min GU ; Yong ZHU ; Manling TANG ; Xiang CHEN
Chinese Journal of Medical Genetics 2021;38(7):631-634
OBJECTIVE:
To screen proteins interacting with ring finger protein 216(RNF216) through yeast two hybrid experiment, and further clarify the role of RNF216 in the pathogenesis of gonadotropin-releasing hormone deficiency.
METHODS:
A recombinant expression vector pGBKT7-RNF216 was constructed and transformed into yeast Y2HGold, which was hybridized with a human cDNA library in order to screen proteins interacting with RNF216. The interaction was verified in yeast Y2HGold.
RESULTS:
A recombinant expression vector pGBKT7-RNF216 was successfully constructed and expressed in yeast Y2HGold. Filamin B (FLNB) was identified by yeast two hybrid experiment, and their interaction was verified in yeast Y2HGold.
CONCLUSION
An interaction between FLNB and RNF216 was identified through yeast two hybrid experiment. RNF216 may affect the proliferation and migration of GnRH neurons by regulating FLNB or FLNB/FLNA heterodimers.
Gene Library
;
Gonadotropin-Releasing Hormone/genetics*
;
Humans
;
Proteins
;
Two-Hybrid System Techniques
;
Ubiquitin-Protein Ligases/genetics*
5.Influence of artificial intelligence on endoscopists′ performance in diagnosing gastric cancer by magnifying narrow banding imaging
Jing WANG ; Yijie ZHU ; Lianlian WU ; Xinqi HE ; Zehua DONG ; Manling HUANG ; Yisi CHEN ; Meng LIU ; Qinghong XU ; Honggang YU ; Qi WU
Chinese Journal of Digestive Endoscopy 2021;38(10):783-788
Objective:To assess the influence of an artificial intelligence (AI) -assisted diagnosis system on the performance of endoscopists in diagnosing gastric cancer by magnifying narrow banding imaging (M-NBI).Methods:M-NBI images of early gastric cancer (EGC) and non-gastric cancer from Renmin Hospital of Wuhan University from March 2017 to January 2020 and public datasets were collected, among which 4 667 images (1 950 images of EGC and 2 717 of non-gastric cancer)were included in the training set and 1 539 images (483 images of EGC and 1 056 of non-gastric cancer) composed a test set. The model was trained using deep learning technique. One hundred M-NBI videos from Beijing Cancer Hospital and Renmin Hospital of Wuhan University between 9 June 2020 and 17 November 2020 were prospectively collected as a video test set, 38 of gastric cancer and 62 of non-gastric cancer. Four endoscopists from four other hospitals participated in the study, diagnosing the video test twice, with and without AI. The influence of the system on endoscopists′ performance was assessed.Results:Without AI assistance, accuracy, sensitivity, and specificity of endoscopists′ diagnosis of gastric cancer were 81.00%±4.30%, 71.05%±9.67%, and 87.10%±10.88%, respectively. With AI assistance, accuracy, sensitivity and specificity of diagnosis were 86.50%±2.06%, 84.87%±11.07%, and 87.50%±4.47%, respectively. Diagnostic accuracy ( P=0.302) and sensitivity ( P=0.180) of endoscopists with AI assistance were improved compared with those without. Accuracy, sensitivity and specificity of AI in identifying gastric cancer in the video test set were 88.00% (88/100), 97.37% (37/38), and 82.26% (51/62), respectively. Sensitivity of AI was higher than that of the average of endoscopists ( P=0.002). Conclusion:AI-assisted diagnosis system is an effective tool to assist diagnosis of gastric cancer in M-NBI, which can improve the diagnostic ability of endoscopists. It can also remind endoscopists of high-risk areas in real time to reduce the probability of missed diagnosis.
6.Downregulation of cellular prion protein inhibited the proliferation and invasion and induced apoptosis of Marek's disease virus-transformed avian T cells.
Xuerui WAN ; Runxia YANG ; Guilin LIU ; Manling ZHU ; Tianliang ZHANG ; Lei LIU ; Run WU
Journal of Veterinary Science 2016;17(2):171-178
Cellular prion protein (PrP(C)) is ubiquitously expressed in the cytomembrane of a considerable number of eukaryotic cells. Although several studies have investigated the functions of PrP(C) in cell proliferation, cell apoptosis, and tumorigenesis of mammals, the correlated functions of chicken PrP(C) (chPrP(C)) remain unknown. In this study, stable chPrP(C)-downregulated Marek's disease (MD) virus-transformed avian T cells (MSB1-SiRNA-3) were established by introducing short interfering RNA (SiRNA) targeting chicken prion protein genes. We found that downregulation of chPrP(C) inhibits proliferation, invasion, and migration, and induces G1 cell cycle phase arrest and apoptosis of MSB1-SiRNA-3 cells compared with Marek's disease virus-transformed avian T cells (MSB1) and negative control cells. To the best of our knowledge, the present study provides the first evidence supporting the positive correlation between the expression level of chPrP(C) and the proliferation, migration, and invasion ability of MSB1 cells, but appears to protect MSB1 cells from apoptosis, which suggests it functions in the formation and development of MD tumors. This evidence may contribute to future research into the specific molecular mechanisms of chPrP(C) in the formation and development of MD tumors.
Animals
;
Apoptosis*
;
Carcinogenesis
;
Cell Cycle
;
Cell Proliferation
;
Chickens
;
Down-Regulation*
;
Eukaryotic Cells
;
Mammals
;
Marek Disease*
;
RNA, Small Interfering
;
T-Lymphocytes*
7.Application of PBL teaching method in teaching distribution of bacterias
Kai ZHANG ; Xiaoping LI ; Shaohua CHEN ; Xiaomei ZHU ; Manling SU
Chinese Journal of Medical Education Research 2005;0(06):-
PBL is a new teaching method.Applying it to the teching of distribution of bacterias can fully display students'subjective initiative and have good teaching effect ant at the same time build the new model of PBL in medical education.


Result Analysis
Print
Save
E-mail