1.Determination of six active components in three species of genus Swertia by HPLC multiwavelength with detection.
Kangping XU ; Jian SHEN ; Fushuang LI ; Jianfeng LIU ; Guoru LIU ; Jianbing TAN ; Guishan TAN
China Journal of Chinese Materia Medica 2009;34(11):1384-1389
OBJECTIVETo develop an HPLC method for the quantification of six active components in three species (Swertia davidi, S. nervosa and S. mussotii) .
METHODThe determination was performed on a Hypersil BDS colunm (4. 6 mm x 200 mm, 5 microm). Acetonitrile and 0.5% phosphoric acid solution were used as the mobile phases with a gradient elution. The flow rate was 1.0 mL x min(-1). The UV detection wavelength was at 240, 274, 325 and 334 nm. The column oven temperature was at 25 degrees C.
RESULTSix components were separated commendably in 60 minutes. The calibration curves of swertiamarin, gentiopicroside, norswertianolin, swertianolin, demethylbellidifolin and bellidifolin were in good linearity over the range of 0.520-20.8, 0.202-8.06, 0.107-4.28, 0.097-3.86, 0.094-3.77, 0.101-4.02 microg, respectively (r = 0.999 9). The average recoveries were 98.7%, 98.1%, 98.3%, 98.8%, 98.1% and 98.6%, respectively, and the RSD were less than 3.0% (n = 6).
CONCLUSIONThe method is accurate,simple and reproducible, and can be used to control the quality of Swertia.
Chromatography, High Pressure Liquid ; instrumentation ; methods ; Drugs, Chinese Herbal ; analysis ; Glucosides ; analysis ; Iridoid Glucosides ; Iridoids ; analysis ; Pyrones ; analysis ; Swertia ; chemistry ; Xanthones ; analysis
2.Expression and significance of serum soluble T cell immunoglobulin-domain and mucin-domain protein-3 and galectin-9 in patients with early acute pancreatitis
Fushuang WANG ; Yao MENG ; Yuan LIN ; Rongnan LI ; Min LIN
Chinese Journal of Digestion 2022;42(6):383-388
Objective:To investigate the expression and significance of serum soluble T cell immunoglobulin-domain and mucin-domain protein-3 (sTIM-3) and galectin-9 (Gal-9) in patients with early acute pancreatitis (AP), so as to provide theoretical and clinical evidence for the early prediction and diagnosis of AP.Methods:From 15 September 2020 to 23 July 2021, a total of 94 AP patients with a time from onset to admission ≤48 h who were admitted to Changzhou No.2 People′s Hospital, Nanjing Medical University were selected, including 42 cases of mild acute pancreatitis (MAP), 35 cases of moderately severe acute pancreatitis (MSAP) and 17 cases of severe acute pancreatitis (SAP). The basic clinical features of AP patients were collected. Acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ), modified computed tomography severity index (MCTSI) and bedside index for severity in acute pancreatitis (BISAP) scores were evaluated in all AP patients. The levels of serum interleukin (IL)-6, IL-10, Gal-9 and sTIM-3 were detected with enzyme linked immunosorbent assay. Kruskal-Wallis test and Mann-Whitney U test were used for statistical analysis. Spearman rank correlation test and Pearson correlation analysis were used to analyze the correlation of sTIM-3, Gal-9 with inflammatory indicators and AP related scoring systems. Receiver operating characteristic curve (ROC) was performed for efficiency analysis of the combination of sTIM-3 and Gal-9 in predicting the severity of AP patients. Results:Serum sTIM-3, Gal-9 and IL-6 levels of SAP patients were higher than those of MAP patients (2 085.00 ng/L (1 628.00 ng/L, 2 673.00 ng/L) vs. 746.10 ng/L (514.50 ng/L, 1 303.00 ng/L); 466.60 ng/L (375.90 ng/L, 629.30 ng/L) vs. 108.10 ng/L (90.29 ng/L, 138.90 ng/L); (323.60±62.93) ng/L vs. (42.90±28.82) ng/L), while IL-10 level was lower than that of MAP patients ((760.30±200.40) ng/L vs. (1 206.00±566.30) ng/L), and the differences were statistically significant ( Z=45.00 and <0.01, t=23.62 and 3.15; all P<0.01). The APACHE Ⅱ and BISAP scores of SAP patients were higher than those of MAP and MSAP patients (12.00(6.00, 16.50) vs. 3.00(2.00, 5.00) and 6.00(3.00, 8.00); 3.00(3.00, 4.00) vs.1.00(1.00, 1.00) and 2.00(2.00, 3.00)), and the MCTSI score was higher than that of MAP patients (4.00(3.00, 6.00) vs. 2.00(0.00, 2.00)), and the differences were statistically significant ( Z=644.50, 704.00, 474.50, 492.50 and 664.00, all P<0.001). Serum sTIM-3 and Gal-9 were positively correlated with the pro-inflammatory factor IL-6 ( r=0.552 and 0.297, P<0.001 and =0.004). Serum sTIM-3 was negatively correlated with the anti-inflammatory factor IL-10 ( r=-0.397, P<0.001). There was no correlation between Gal-9 and the anti-inflammatory factor IL-10 ( P>0.05). Serum sTIM-3 and Gal-9 were positively correlated with APACHE Ⅱ, MCTSI and BISAP scores ( r=0.210, 0.271 and 0.363, P=0.042, =0.008 and <0.001; r=0.390, 0.448 and 0.440, all P<0.001). The areas under ROC curves (95% confidence interval) of serum sTIM-3 and Gal-9 detected alone and in combination was 0.805 (0.716 to 0.895), 0.814 (0.725 to 0.903) and 0.856 (0.773 to 0.939), respectively, and the sensitivity was 69.2%, 67.3%, 75.0%, respectively, and the specificity was 83.3%, 97.6%, 97.6%, respectively. Conclusions:The serum levels of sTIM-3 and Gal-9 increased in patients with early AP and are correlated with the severity of AP. The combined detection of sTIM-3 and Gal-9 has high sensitivity in predicting early AP, and the two indicators may be the reliable predictors of early AP.
3.Research progress in immune-related liver injury caused by immune checkpoint inhibitors
Fenghui LI ; Tao WANG ; Fushuang HA ; Fei TANG ; Jing LIANG
International Journal of Biomedical Engineering 2023;46(2):169-174
In recent years, immune checkpoint inhibitors (ICIs) have made great progress in the treatment of tumor patients, prolonging their survival. However, the expansion of immunity against tumors with ICIs may also cause an imbalance in immune tolerance, leading to immune-related adverse events (irAEs). Immune-mediated liver injury caused by ICIs (ILICI) is one of the more common types of irAEs. In this review paper, the definition, epidemiology, risk factors, pathogenesis, pathology, clinical manifestations, treatment, recurrence, and re-treatment of ILICI were summarized to provide a basis for clinical diagnosis and treatment.
4.Complete genome sequences of the SARS-CoV: the BJ Group (Isolates BJ01-BJ04).
Shengli BI ; E'de QIN ; Zuyuan XU ; Wei LI ; Jing WANG ; Yongwu HU ; Yong LIU ; Shumin DUAN ; Jianfei HU ; Yujun HAN ; Jing XU ; Yan LI ; Yao YI ; Yongdong ZHOU ; Wei LIN ; Hong XU ; Ruan LI ; Zizhang ZHANG ; Haiyan SUN ; Jingui ZHU ; Man YU ; Baochang FAN ; Qingfa WU ; Wei LIN ; Lin TANG ; Baoan YANG ; Guoqing LI ; Wenming PENG ; Wenjie LI ; Tao JIANG ; Yajun DENG ; Bohua LIU ; Jianping SHI ; Yongqiang DENG ; Wei WEI ; Hong LIU ; Zongzhong TONG ; Feng ZHANG ; Yu ZHANG ; Cui'e WANG ; Yuquan LI ; Jia YE ; Yonghua GAN ; Jia JI ; Xiaoyu LI ; Xiangjun TIAN ; Fushuang LU ; Gang TAN ; Ruifu YANG ; Bin LIU ; Siqi LIU ; Songgang LI ; Jun WANG ; Jian WANG ; Wuchun CAO ; Jun YU ; Xiaoping DONG ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(3):180-192
Beijing has been one of the epicenters attacked most severely by the SARS-CoV (severe acute respiratory syndrome-associated coronavirus) since the first patient was diagnosed in one of the city's hospitals. We now report complete genome sequences of the BJ Group, including four isolates (Isolates BJ01, BJ02, BJ03, and BJ04) of the SARS-CoV. It is remarkable that all members of the BJ Group share a common haplotype, consisting of seven loci that differentiate the group from other isolates published to date. Among 42 substitutions uniquely identified from the BJ group, 32 are non-synonymous changes at the amino acid level. Rooted phylogenetic trees, proposed on the basis of haplotypes and other sequence variations of SARS-CoV isolates from Canada, USA, Singapore, and China, gave rise to different paradigms but positioned the BJ Group, together with the newly discovered GD01 (GD-Ins29) in the same clade, followed by the H-U Group (from Hong Kong to USA) and the H-T Group (from Hong Kong to Toronto), leaving the SP Group (Singapore) more distant. This result appears to suggest a possible transmission path from Guangdong to Beijing/Hong Kong, then to other countries and regions.
Genome, Viral
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Haplotypes
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Humans
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Mutation
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Open Reading Frames
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Phylogeny
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SARS Virus
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genetics
5.Value of fibrosis-4 combined with prognostic nutritional index in predicting recurrence and survival time after radiofrequency ablation for early-stage hepatocellular carcinoma
Xu ZHANG ; Fushuang HA ; Fenghui LI ; Yanying GAO ; Jing LIANG
Journal of Clinical Hepatology 2023;39(11):2614-2622
ObjectiveTo investigate the value of preoperative fibrosis 4 score (FIB-4) combined with prognostic nutritional index (PNI) in predicting recurrence after radiofrequency ablation (RFA) for early-stage hepatocellular carcinoma (HCC). MethodsA retrospective analysis was performed for the clinical data of 365 patients with the initial diagnosis of early-stage HCC who underwent RFA at Tianjin Third Central Hospital from January 2013 to December 2017, and a statistical analysis was performed for recurrence and survival. The receiver operating characteristic (ROC) curve was plotted for FIB-4 and PNI with postoperative tumor recurrence as the positive event, and their optimal cut-off values were selected. FIB-4 and PNI were graded and combined as FIB-4-PNI score, based on which the patients were divided into 0-point group with 207 patients, 1-point group with 93 patients, and 2-point group with 65 patients. The chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier survival analysis and the log-rank test were used to compare the recurrence-free survival (RFS) and overall survival (OS) between groups, and the Cox regression model was used to investigate the influencing factors for RFS and OS. ResultsThe 1-, 3-, and 5-year RFS rates of all patients were 79.2%, 49.8%, and 34.3%, respectively, with a median RFS of 35 months, while the 1-, 3-, and 5-year OS rates of all patients were 98.9%, 86.9%, and 77.3%, respectively. There were significant differences in cumulative RFS and OS rates between the patients with different levels of FIB-4, PNI, and FIB-4-PNI (RFS rate: χ2=17.890, 29.826, and 32.397, all P<0.001; OS rate: χ2=16.896, 21.070, and 26.121, all P<0.001). The multivariate Cox regression analysis showed that history of diabetes (hazard ratio [HR]=1.418, 95% confidence interval [CI]: 1.046 — 1.922, P=0.024), two tumors (HR=1.516, 95%CI: 1.094 — 2.101, P=0.012), three tumors (HR=2.146, 95%CI: 1.278 — 3.604, P=0.004), FIB-4-PNI 1 point (HR=1.875, 95%CI: 1.385 — 2.539, P<0.001), and FIB-4-PNI 2 points (HR=2.35, 95%CI: 1.706 — 3.236, P<0.001) were independent risk factors for RFS, while two tumors (HR=1.732, 95%CI: 1.005 — 2.983, P=0.048), three tumors (HR=3.511, 95%CI: 1.658 — 7.433, P=0.001), FIB-4-PNI 1 point (HR=2.094, 95%CI: 1.230 — 3.565, P=0.006), and FIB-4-PNI 2 points (HR=3.908, 95%CI: 2.306 — 6.624, P<0.001) were independent risk factors for OS. ConclusionFIB-4-PNI score can be used as an independent predictive factor for recurrence and overall survival time after RFA for early-stage HCC, and it can be combined with tumor features to predict postoperative recurrence and survival.