1.Influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis
Danqing XU ; Huan MU ; Yingyuan ZHANG ; Lixian CHANG ; Yuanzhen WANG ; Weikun LI ; Zhijian DONG ; Lihua ZHANG ; Yijing CHENG ; Li LIU
Journal of Clinical Hepatology 2025;41(2):269-276
ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis, and to establish a predictive model. MethodsA total of 217 patients who were diagnosed with decompensated hepatitis C cirrhosis and were admitted to The Third People’s Hospital of Kunming l from January, 2019 to December, 2022 were enrolled, among whom 63 patients who were readmitted within at least 1 year and had no portal hypertension-related complications were enrolled as recompensation group, and 154 patients without recompensation were enrolled as control group. Related clinical data were collected, and univariate and multivariate analyses were performed for the factors that may affect the occurrence of recompensation. The independent-samples t test was used for comparison of normally distributed measurement data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed measurement data between two groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis, and the receiver operating characteristic (ROC) curve was used to assess the predictive performance of the model. ResultsAmong the 217 patients with decompensated hepatitis C cirrhosis, 63 (29.03%) had recompensation. There were significant differences between the recompensation group and the control group in HIV history (χ2=4.566, P=0.034), history of partial splenic embolism (χ2=6.687, P=0.014), Child-Pugh classification (χ2=11.978, P=0.003), grade of ascites (χ2=14.229, P<0.001), albumin (t=4.063, P<0.001), prealbumin (Z=-3.077, P=0.002), high-density lipoprotein (t=2.854, P=0.011), high-sensitivity C-reactive protein (Z=-2.447, P=0.014), prothrombin time (Z=-2.441, P=0.015), carcinoembryonic antigen (Z=-2.113, P=0.035), alpha-fetoprotein (AFP) (Z=-2.063, P=0.039), CA125 (Z=-2.270, P=0.023), TT3 (Z=-3.304, P<0.001), TT4 (Z=-2.221, P=0.026), CD45+ (Z=-2.278, P=0.023), interleukin-5 (Z=-2.845, P=0.004), tumor necrosis factor-α (Z=-2.176, P=0.030), and portal vein width (Z=-5.283, P=0.005). The multivariate analysis showed that history of partial splenic embolism (odds ratio [OR]=3.064, P=0.049), HIV history (OR=0.195, P=0.027), a small amount of ascites (OR=3.390, P=0.017), AFP (OR=1.003, P=0.004), and portal vein width (OR=0.600, P<0.001) were independent influencing factors for the occurrence of recompensation in patients with decompensated hepatitis C cirrhosis. The ROC curve analysis showed that HIV history, grade of ascites, history of partial splenic embolism, AFP, portal vein width, and the combined predictive model of these indices had an area under the ROC curve of 0.556, 0.641, 0.560, 0.589, 0.745, and 0.817, respectively. ConclusionFor patients with decompensated hepatitis C cirrhosis, those with a history of partial splenic embolism, a small amount of ascites, and an increase in AFP level are more likely to experience recompensation, while those with a history of HIV and an increase in portal vein width are less likely to experience recompensation.
2.Effects of Codonop sis saponins on T cells invasion assay across H9N2 AIV infec-ted pulmonary microvascular endothelium
Chang QIAO ; Xiang LIU ; Bo FENG ; Xiang MU ; Tao ZHANG ; Hong DONG ; Ge HU ; Qian ZHANG
Chinese Journal of Veterinary Science 2024;44(8):1800-1806
In order to investigate the regulatory effect of Codonopsis saponins on the immunosup-pression caused by H9N2 subtype avian influenza virus(AIV)infection,rat pulmonary microvas-cular endothelial cells(RPMECs)were incubated with different concentrations of Codonopsis sap-onins(5,10 and 20 mg/L).The expression level of PD-L1 was detected by RT-PCR and flow cy-tometry,and the contents of TNF-α,IFN-y and IL-10 in supernatant were detected by ELISA kit.The titer of H9N2 AIV in supernatant was detected by plaque method.Then,a co-culture system of RPMECs and T cells was established using a Transwell plate with an aperture of 8 μm to mimic the migration of circulating T cells across microvessels to the site of viral infection.RPMECs were cultured in the upper chamber of Transwell,inoculated with H9N2 AIV,supplemented with 20 mg/L Codonopsis saponins 1 h later,and T cells 36 h later.After 8 h of treatment,T cells in the lower compartment were collected and the proportions of CD4+T cells and CD8+T cells were detected by flow cytometry,the expression levels of IL-2,IFN-y and granzyme B in the superna-tant were detected by ELISA,and the proportions of perforin-1 positive T cells were detected by flow cytometry.The proliferation activity of T cells was detected with the MTT cell proliferation and cytotoxicity assay kit,and the percentage of apoptotic cells was detected by flow cytometry af-ter staining of T cells with Annexin V-FITC/PI.The experimental results showed that Codonopsis saponins could significantly reduce the expression level of PD-L1,IL-10 and TNF-α in RPMECs in-duced by H9N2 AIV infection,and reduce the apoptosis rate of T cells.However,the expression levels of IL-2,IFN-y,perforin-1 and granzyme B in transendothelial migration T cells and the pro-liferation activity of T cells were significantly increased.In this study,Codonopsis saponins can sig-nificantly inhibit the expression of H9N2 AIV-induced PD-L1 in RPMECs,enhance the antiviral function of T cells migrating across the endothelial layer,and enhance the resistance of host to H9N2 AIV.
3.Study on the relationship between hemoglobin glycosylation index and arteriosclerosis- related blood lipids
Chen ZHANG ; Lu LIN ; Di SUN ; Jingtao DOU ; Anping WANG ; Liguang DONG ; Shuyu WANG ; Zhaohui LYU ; Yiming MU
Chinese Journal of Internal Medicine 2024;63(6):579-586
Objective:To study the relationship between hemoglobin glycation index (HGI) and blood lipid indices such as low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and plasma atherogenic index (AIP).Methods:This cross-sectional study included 16 049 participants from the Beijing Apple Garden community between December 2011 and August 2012. The subjects were divided into three groups based on the HGI quartile: low ( n=5 388), medium ( n=5 249), and high ( n=5 412). The differences in blood lipid indicators between different HGI groups were compared and multivariate logistic regression model was established to analyze the association between HGI and dyslipidemia. And multivariate logistic regression model was established to analyze the relationship between HGI and blood lipid indicators in different glucose metabolism populations. Results:There were 16 049 participants in all (mean age: 56 years), including 10 452 women (65.1%). They were classified into normal glucose tolerance (9 093 cases), prediabetes (4 524 cases), and diabetes (2 432 cases) based on glucose tolerance status. In the general population, with the increase of HGI, LDL-C, non-HDL-C, and AIP gradually increased (all P values for trends were <0.05), and the proportion of abnormalities increased significantly ( χ2=101.40, 42.91, 39.80; all P<0.001). A multivariate logistic regression model was established, which suggested a significant correlation between HGI and LDL-C, non-HDL-C, and AIP (all P<0.05), after adjusting for factors such as age, sex, fasting blood glucose, hypertension, body mass index, smoking, and alcohol consumption. In the overall population, normal glucose tolerance group, and diabetes group, HGI had the highest correlation with non-HDL-C ( OR values of 1.325, 1.678, and 1.274, respectively); in the prediabetes group, HGI had a higher correlation with LDL-C ( OR value: 1.510); and in different glucose metabolism groups, AIP and HGI were both correlated ( OR: 1.208-1.250), but not superior to non-HDL-C and LDL-C. Conclusion:HGI was closely related to LDL-C, non HDL-C, and AIP in the entire population and people with different glucose metabolism, suggesting that HGI may be a predictor of atherosclerotic cardiovascular disease.
4.Observation of clinical efficacy and laboratory indexes of traditional Chinese medicine in treating patients with AECOPD
Qiang XIAO ; Wenming SONG ; Mu MEI ; Susu DONG ; Yafen TAN ; Xuan ZHANG ; Lu YAO ; Tianli WANG
China Modern Doctor 2024;62(16):85-89
Objective To evaluate the clinical efficacy of traditional Chinese medicine turbid phlegm obstructing lung decoction on patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD)and its influence on laboratory indexes.Methods A total of 191 patients with AECOPD who were hospitalized in the First People's Hospital of Changde from January 2021 to December 2022 were selected.Patients were divided into observation group(96 cases)and control group(95 cases)according to their treatment intention.The control group received conventional treatment of western medicine,and the observation group received oral administration of traditional Chinese medicine turbid phlegm obstructing lung decoction for one week.TCM symptom scores,COPD assessment test(CAT),lung function,laboratory indicators and efficacy were compared between two groups.Results The total effective rate of observation group was significantly higher than that of control group(χ2=4.573,P=0.030).After treatment,TCM symptom score,CAT score,hypersensitive C-reaction protein(hsCRP)and interleukin-6(IL-6)of patients in both groups were significantly lower than before treatment,percentage of forced vital capacity to predicted value(FVC%)and percentage of forced expiratory volume in one second to predicted value(FEV1%)were significantly higher than before treatment(P<0.05),arterial partial pressure of carbon dioxide(PaCO2)of observation group was lower than before treatment,and arterial partial pressure of oxygen(PaO2)was higher than before treatment(P<0.05).The TCM symptom score,CAT score,hsCRP and IL-6 of observation group were significantly lower than those of control group,while FVC%,FEV1%and PaO2 were significantly higher than those of control group(P<0.05).Conclusion On the basis of western medicine treatment,traditional Chinese medicine turbid phlegm obstructing lung decoction can more effectively improve clinical symptoms of AECOPD patients,relieve the inflammation in the body,contribute to the recovery of lung function and improve the quality of life of patients.
5.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.
6.Impact of daily step count on glycemic outcomes of community residents with impaired glucose tolerance
Fangman CHEN ; Meijuan GAO ; Jinzhan SONG ; Xiaoman ZHANG ; Xin CHEN ; Lin MU ; Liguang DONG ; Wenbo WANG ; Tianpei HONG ; Jin YANG
Chinese Journal of Health Management 2024;18(1):7-12
Objective:To investigate the impact of daily step count on glycemic outcomes in community residents with impaired glucose tolerance (IGT).Methods:This was a prospective cohort study, in October 2018, 204 residents who met the criteria of IGT were recruited in the Shijingshan District in Beijing. The subjects were tested for fasting blood glucose, oral glucose tolerance test 2-hour blood glucose (2hBG), glycated hemoglobin A 1c (HbA 1c), lipid profile, liver and kidney function, as well as measurements of height, weight and waist circumference. A dedicated mobile application was used to deliver prediabetes health knowledge monthly. Online guidance was provided to answer questions and daily step count was collected using the application. Three years later, a follow-up was conducted to assess the participants′ glycemic outcomes and other indexes, and a total of 142 participants completed the follow-up review. According to daily step count, the subjects were categorized into high step count group (42 cases,>7 000 steps daily), moderate step count group (54 cases, 5 000-7 000 steps daily), and low step count group (46 cases,<5 000 steps daily). Subjects were categorized into diabetes group (30 cases), prediabetes group (77 cases) and normal glucose tolerance group (35 cases) with glycemic outcomes. Independent sample t test was used to compare the differences in blood glucose, blood lipids, and step counts between the two groups. Kruskal-Wallis H test or one-way ANOVA was used to compare the differences in blood glucose, blood lipids, and step counts between multiple groups. The χ2 test was used to compare the differences in glycemic outcomes between multiple groups. Multivariate logistic regression analysis was used to assess the impact of daily step counts and body mass index on glycemic outcomes. Linear regression analysis was used to evaluate the relationship between daily step counts and 2 h BG. Results:A total of 142 participants completed the 3-year follow-up, including 43 males and 99 females, with a mean age of (60.15±5.67) years. At baseline, males had significantly higher body mass index, waist circumference, and fasting blood glucose when compared to those in females [(26.97±2.43) vs (24.89±2.93) kg/m 2, (92.68±7.75) vs (83.83±8.60) cm, (5.83±0.61) vs (5.62±0.52) mmol/L], the total cholesterol and HDL-C were also significantly lower in males than those in females [(5.10±1.16) vs (5.55±0.95) mmol/L, (1.35±0.34) vs (1.56±0.35) mmol/L] (all P<0.05). After 3-year follow-up, 21.1% (30/142) of IGT participants progressed to diabetes, with an annual conversion rate of approximately 7%. The normal glucose tolerance group showed significantly higher daily step counts when compared with the prediabetes and diabetes groups [(7 886±2 867) vs (5 981±2 655) vs (4 117±2 674) steps] ( H=31.778, P<0.001). Individuals with higher daily step counts exhibited lower body mass index, 2 h BG, and HbA 1c level when compared with those in the ones with moderate and low step counts [(24.26±3.09) vs (25.44±3.38) vs (26.26±3.59) kg/m 2, (7.50±1.71) vs (9.15±3.30) vs (11.19±3.84) mmol/L, 5.97%±0.46% vs 6.14%±0.99% vs 6.40%±0.96%] (all P<0.05). Higher step count was positively correlated with the reversal of prediabetes to normal blood glucose levels (moderate step count, OR=0.297, 95% CI: 0.109-0.804; low step count, OR=0.055, 95% CI: 0.010-0.287), lower daily step count correlated positively with prediabetes progressing to diabetes ( OR=4.857, 95% CI: 1.140-20.689) (all P<0.05). For every additional 1 000 steps per day, the 2 h BG decreased by 0.5 mmol/L. Conclusion:As daily step count increases, the glucose metabolism improves in IGT community residents. Higher daily step count is associated with reversal of IGT to normal glucose tolerance, while lower daily step count may be associated with the progression of IGT to diabetes.
7.miR-218-5p regulates glycolysis in human non-small cell lung cancer A549 cells by targeting PDE7A
Haiying NIU ; Gang ZHAO ; Shanna SU ; Rongrong BAI ; Peijuan MU ; Dong ZHANG
Chinese Journal of Cancer Biotherapy 2024;31(6):592-597
Objective:To investigate the mechanism of miR-218-5p regulating the glycolytic process in human non-small cell lung cancer A549 cells by targeting phosphodiesterase 7A(PDE7A).Methods:A549 cells were routinely cultured,and miR-218-5p mimic,mimic-NC,PDE7A overexpression plasmid(PDE7A-oe)and PDE7A control plasmid(PDE7A-NC)were transfected into A549 cells using Lipo3000,and recorded as the miR-218-5p mimic group,the mimic-NC group,the PDE7A-oe group and the PDE7A-NC group.The transfection efficiency was verified by qPCR assay;the expressions of glycolysis key enzyme proteins were detected by WB assay;the 2-deoxyglucose and lactate contents in A549 cells of each transfection group were detected by glucose assay and lactate production assay;the target binding relationship between miR-218-5p and PDE7A was verified by dual-luciferase reporter gene assay,and the data from the TCGA database were used to analyze the expression level of PDE7A mRNA in lung cancer tissues.Results:miR-218-5p was successfully overexpressed in A549 cells(P<0.01).Overexpression of miR-218-5p significantly inhibited the expressions of PDE7A,HK2,PKM2 proteins(all P<0.01),glucose uptake and lactate production(both P<0.01)in A549 cells.Overexpression of PDE7A significantly promoted the expressions of PDE7A,HK2,and PKM2 proteins(all P<0.01),as well as glucose uptake and lactate production(both P<0.01)in A549 cells.miR-218-5p in A549 cells could directly bind to the 3′-UTR of PDE7A mRNA.Database data analysis showed that PDE7A mRNA was highly expressed in lung squamous cell carcinoma tissues(P<0.01).Conclusion:miR-218-5p targets PDE7A to regulate the expression levels of HK2 and PKM2 in A549 cells,which in turn inhibits the glycolytic process.miR-218-5p/PDE7A may be a potential target for clinical diagnosis and treatment of NSCLC.
8.Value of glycosylated hemoglobin A1c and apolipoprotein A-1 ratio on predicting outcome of patients with acute coronary syndrome.
Yi Jia WANG ; Hong Na MU ; Rui Yue YANG ; Wen Duo ZHANG ; Xin Yue WANG ; Si Ming WANG ; Fu Sui JI ; Jun DONG ; Xue YU
Chinese Journal of Cardiology 2023;51(1):38-44
Objective: To investigate the predictive value of glycosylated hemoglobin A1c/apolipoprotein A-1 (HbA1c/ApoA-1) ratio for major adverse cardiovascular events (MACEs) in patients with acute coronary syndrome (ACS). Methods: The present study is a retrospective cohort study. ACS patients who were hospitalized and underwent coronary angiography at Beijing Hospital from March 2017 to March 2019 were enrolled. Baseline information such as sex, age, previous history, Gensini score, HbA1c and ApoA-1 were analyzed. Patients were divided into two groups according to presence or absence of MACEs and the difference on HbA1c/ApoA-1 ratio was compared between the two groups. According to the tertiles of HbA1c/ApoA-1 levels, patients were divided into high (5.87-16.12), medium (4.50-5.83) and low (2.11-4.48) HbA1c/ApoA-1 groups. Cox proportional risk model was used to evaluate the differences in MACEs and all-cause mortality among the three groups. Kaplan-Meier survival analysis was used to compare the differences of MACEs between the various HbA1c/ApoA-1 groups. Results: A total of 366 ACS patients were included in this study. The mean age of the patients was (65.9±10.3) years. There were 59 MACEs and 10 all-cause deaths during the mean of (22.3±4.4) months follow-up. After adjusting for age, systolic blood pressure, history of diabetes and Gensini score, the incidence of MACEs was 2.45 times higher in the high HbA1c/ApoA-1 group than in the low HbA1c/ApoA-1 group (95%CI 1.16-5.18, P=0.019). There was no significant difference in all-cause mortality between the high and low HbA1c/ApoA-1 groups (P=1.000). Kaplan-Meier survival analysis showed that patients in the high HbA1c/ApoA-1 group had the highest risk of MACEs, while patients in the low HbA1c/ApoA-1 group had the lowest risk of MACEs (P<0.01). Spearman rank correlation analysis showed that HbA1/ApoA-1 ratio was positively correlated with Gensini score in ACS patients (r=0.274, P<0.01). Conclusion: High HbA1c/ApoA-1 ratio was an independent risk factor for MACEs in ACS patients. Patients with high HbA1c/ApoA-1 ratio had more severe coronary artery disease lesions. HbA1c/ApoA-1 ratio may be used as a potential risk stratification biomarker for ACS patients, it might be useful for the early identification of high-risk population and for predicting the incidence of MACEs among ACS patients.
Aged
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Humans
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Middle Aged
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Acute Coronary Syndrome/diagnosis*
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Apolipoprotein A-I/analysis*
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Biomarkers/analysis*
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Glycated Hemoglobin/analysis*
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Percutaneous Coronary Intervention
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Retrospective Studies
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Risk Factors
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Predictive Value of Tests
9.Screening of housekeeping genes in Gelsemium elegans and expression patterns of genes involved in its alkaloid biosynthesis.
Yao ZHANG ; Detian MU ; Yu ZHOU ; Ying LU ; Yisong LIU ; Mengting ZUO ; Zhuang DONG ; Zhaoying LIU ; Qi TANG
Chinese Journal of Biotechnology 2023;39(1):286-303
Gelsemium elegans is a traditional Chinese herb of medicinal importance, with indole terpene alkaloids as its main active components. To study the expression of the most suitable housekeeping reference genes in G. elegans, the root bark, stem segments, leaves and inflorescences of four different parts of G. elegans were used as materials in this study. The expression stability of 10 candidate housekeeping reference genes (18S, GAPDH, Actin, TUA, TUB, SAND, EF-1α, UBC, UBQ, and cdc25) was assessed through real-time fluorescence quantitative PCR, GeNorm, NormFinder, BestKeeper, ΔCT, and RefFinder. The results showed that EF-1α was stably expressed in all four parts of G. elegans and was the most suitable housekeeping gene. Based on the coexpression pattern of genome, full-length transcriptome and metabolome, the key candidate targets of 18 related genes (AS, AnPRT, PRAI, IGPS, TSA, TSB, TDC, GES, G8H, 8-HGO, IS, 7-DLS, 7-DLGT, 7-DLH, LAMT, SLS, STR, and SGD) involved in the Gelsemium alkaloid biosynthesis were obtained. The expression of 18 related enzyme genes were analyzed by qRT-PCR using the housekeeping gene EF-1α as a reference. The results showed that these genes' expression and gelsenicine content trends were correlated and were likely to be involved in the biosynthesis of the Gelsemium alkaloid, gelsenicine.
Genes, Essential
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Gelsemium/genetics*
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Peptide Elongation Factor 1/genetics*
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Transcriptome
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Gene Expression Profiling/methods*
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Alkaloids
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Real-Time Polymerase Chain Reaction/methods*
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Reference Standards
10.Mechanism of Fructus Lycii against dry eye: an analysis based on network pharmacology and experimental verification
Yu-Xue MU ; Ming-Zhuang HU ; Dong-Yu WEI ; Xin-Yue XU ; Ling-Xuan YAOLI ; Zuo-Ming ZHANG ; Tao CHEN
International Eye Science 2023;23(5):738-746
AIM: To explore the mechanism of fructus lycii in treating dry eye based on network pharmacology and experimental verification.METHODS: Taking “fructus lycii” as key words, the active ingredients and target of fructus lycii were searched by using Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). Gene targets related to dry eye(DE)were searched by GeneCards and OMIM databases. The target genes of fructus lycii and DE were imported into Venn software to obtain the intersection target map of them. After that, the data were imported into the String database to obtain the PPI protein-protein interaction network diagram. Using Cytoscape3.7.2 software, the PPI protein-protein interaction network diagram was constructed for active ingredients, target sites and related diseases of fructus lycii. The Bioconductor platform and R language were used for gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis. And the key targets in the pathogenesis of DE were verified by experiments.RESULTS: Through TCMSP, 45 types of effective chemical components of fructus lycii, 174 target genes corresponding to active components and 131 common target genes with DE were screenedout. In accordance with the network topology of “drug-composition-disease-target”, 27 main effective components of fructus lycii were found in the treatment of DE. The PPI network was analyzed according to the high degree value, which is the key targets of fructus lycii for DE treatment, mainly including AKT1, VEGFA, CASP3, IL1B, JUN, PTGS2, CXCL8, etc. According to GO enrichment analysis, 166 biological functions and processes of fructus lycii for DE treatment were obtained. KEGG enrichment analysis showed that 31 signaling pathways were involved. Additionally, experimental verification displayed that the protein expressions of AKT1, interleukin-6(IL-6), tumor necrosis factor(TNF-α)and IL-17 in conjunctiva tissue of the DE model group were significantly increased.CONCLUSIONS: Through network pharmacology, this study confirmed that the treatment of DE by fructus lycii is a complex process involving multi-components, multi-targets and multi-pathways, and that the treatment of DE by fructus lycii is mainly regulated by anti-inflammatory and apoptosis-related molecules.

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